Literature DB >> 35115782

Rethinking Health Professionals' Motivation to Do Research: A Systematic Review.

Louisa M D'Arrietta1,2, Venkat N Vangaveti1, Melissa J Crowe3, Bunmi S Malau-Aduli1.   

Abstract

BACKGROUND: Health professionals' engagement in translational health and medical research (HMR) is fundamental to evidence-based practice leading to better patient health outcomes. However, there is a decline in the number of health professionals undertaking research which has implications for patient health and the economy. Informed by the motivation-based expectancy-value-cost (EVC) and self determination theories (SDT), this systematic literature review examined the barriers and facilitators of health professionals' (HPs) motivation to undertake research.
METHODS: The literature was searched between 2011 and 2021 for relevant peer-reviewed articles written in English, using CINAHL Complete, Informit, Medline Ovid, Medline (PubMed), Scopus, Web of Science and Google Scholar databases. This systematic review was performed and reported in accordance with the PRISMA guidelines.
RESULTS: Identified barriers to HPs' engagement with research included the lack of knowledge, skills, and competence to conduct research, lack of protected research time, lack of funding and lack of organisational support. Integration of the findings of this review based on the EVC and SDT theories indicate that research capacity, ie, expectancy and competence is highly influenced by attitude, ie, the type of value (attainment, intrinsic or utility) and connection attributed to research. HPs who had very positive attitude towards research demonstrated all three values and were keen to take up research despite the barriers. Those who had a positive attitude were only motivated to do research because of its utility value and did not necessarily see it as having personal relevance for themselves. HPs who were unmotivated did not see any personal connection or relatedness to the research experience and saw no value in research.
CONCLUSION: The attitude HPs hold in their value of research is a catalyst for motivation or amotivation to engage in research as it directly influences the relevance of barriers. Facilitators that expedite the research journey have been attributed to research training, mentorship programs and supportive organisational research culture. Motivation of HPs explored through EVC and SDT is critical to the maintenance of a research culture and the clinician-researcher development pipeline.
© 2022 D’Arrietta et al.

Entities:  

Keywords:  EVC; SDT; barriers; expectancy-value theory; facilitators; health professionals; motivation; self-determination theory

Year:  2022        PMID: 35115782      PMCID: PMC8801363          DOI: 10.2147/JMDH.S337172

Source DB:  PubMed          Journal:  J Multidiscip Healthc        ISSN: 1178-2390


Introduction

Health professionals (HPs), including doctors, nurses, midwives, and allied health professionals (AHPs) who undertake research have been referred to in the literature under various titles including, clinician researcher1 clinician investigator2 and physician-researcher.3 This group of HPs spend time as both active clinicians and researchers and they engage in translational health and medical research (HMR) to address the issues they see in clinical practice.4 HP led research is important because it fosters evidence-based clinical practice and improved health outcomes for patients.5 For example, research on chronic diseases has significantly contributed to better health outcomes and improved quality of life for people across Australia and globally.6 In addition to the patient health benefits, employment of those engaged in HMR has resulted in continued productivity due to better health outcomes and financial benefits from new medicines and technology. HMR has helped Australia become a leading economy of the 21st century returning an increasing net benefit of $8.2 billion, returning $3.90 for every dollar invested6 and from 2000 to 2015, National Health and Medical Research Council (NHMRC)-funded research saved the Australian health system $23.4 billion.6 Despite the benefits of research to the economy and health benefits to patients there still exists a dearth of HP researchers. There has been an ongoing global concern that the number of HPs undertaking research is declining.7 The seminal paper by Wyngaarden,8 “The clinical investigator as an endangered species” addressed this concern over 40 years ago.9,10 Recent international trends from the USA,7,11,12 Canada,13 UK,14 Sweden,15 Africa,16 Singapore,17 Pakistan18 and Saudi Arabia19 still indicate a decline in the number of young researchers replacing an aging workforce. For example, in the US, the fraction of physician-researchers has reduced from 4.7% in the 1980s to approximately 1.5% currently.20 In New Zealand (NZ) and Australia there exists a similar scenario, with the number of individuals training in medical research decreasing or stagnating over the past few decades.21–23 The Australian Institute of Health and Welfare (AIHW) reported a decline in the proportion of employed Australian doctors who identified primarily as researchers from 2.1% in 2002 to 1.5% in 2010.24,25 The 2018 Medical Deans of Australia and New Zealand (MDANZ) report indicated a further 3.9% drop in the number of physician-researchers between 2013 and 2017.26 Comparatively, of the 1346 registered doctors who self-reported as physician-researchers in 2017, 59% were males and 39% were 55 years and above.26 Decline in the number of HP researchers has largely been attributed to significant factors including lack of dedicated research time, research expertise, awareness and skills.10,27 Additionally, there has been lack of effective succession planning.12 Furthermore, younger generations of HP graduates, particularly females, are wanting more work-life balance; and this generates situations where undertaking research competes with other goals, values and career pathways.3,7,28 Reduced accessibility to research positions, particularly in rural areas has also been highlighted as a major challenge.29 Building the capacity of HPs to undertake research is considered to be an international priority in view of the increasing predominance of chronic diseases and aging world populations.30 Health organisations with strong research culture have been associated with greater service efficiencies and reduced patient mortality and morbidity, indicating that involvement in research extends beyond individual HPs’ professional development.31 Motivation to undertake or stay in HMR is a key factor in addressing the shortage of HP researchers currently being experienced.32 Motivation has largely been attributed to the opportunities and barriers HPs have experienced or expect to experience in their research journey.32 However, the number of HPs engaging in research has still not improved. Applying a theoretically informed approach to examining existing literature findings can point the way to more effective strategies to motivate HPs to do research. The Expectancy-Value-Cost (EVC) motivation theory postulates that achievement-related choices are motivated by a combination of people’s expectations for success and subjective task value in particular domains.33,34 For example, individuals are more likely to pursue an activity if they expect to do well and value the activity. The model further differentiates task value into three components: attainment value (ie, importance of doing well), intrinsic value (ie, personal enjoyment) and utility value (ie, perceived usefulness for future goals). However, motivation can be limited by potential barriers which are referred to as cost (ie, competition with other goals). According to the EVC model, expectations for success and task value are shaped by a combination of factors. These include individual characteristics (abilities, previous experiences, goals, self-concepts, beliefs, expectations, interpretations) and environmental influences (cultural milieu, socializers’ beliefs, and behaviours).35 A recurrent theme in the literature is that motivation to undertake research has largely been extrinsic, that is, to improve CVs,36 career progression37 or for academic improvement. This indicates a need for further exploration into the underlying concepts of motivational theory and its relevance to research uptake and retention by HPs. It is not surprising, therefore, that motivation is increasingly becoming a major area of interest within the field of HPs’ education38 and health research orientation,39 with a focus on Self-Determination Theory (SDT)40,41 which has special implications for HMR. Evolving from research on intrinsic and extrinsic motivations, SDT is a macro theory of human motivation that has been successfully applied to healthcare education and HMR.42,43 The focus of SDT is not on how motivation can be controlled from without, but instead on how motivation is functionally designed and experienced from within.41 SDT relates to three basic psychological needs: (1) Competence: People need to gain mastery of tasks and learn different skills. When people feel that they have the skills needed for success, they are more likely to take actions that will help them achieve their goals. (2) Connection or Relatedness: People need to experience a sense of belonging and attachment to other people. (3) Autonomy: People need to feel in control of their own behaviours and goals. This sense of being able to take direct action that will result in real change plays a major part in helping people feel self-determined.44 Rethinking HPs’ motivation to engage in research, now has immediate and wider implications for all HPs whether medical, nursing and midwifery or allied health.6 The decline in number of HP researchers comes at a critical time when medical innovations are urgently needed to combat the current global COVID-19 pandemic, other communicable diseases and the aging population crisis.2,18 The threat to individual and societal health and economic welfare requires a holistic approach to HP engagement with research and research training to ensure long-term outcomes for survival of world populations.2 Research can no longer be restricted to an elite and specialized few, it needs to be appreciated as a fundamental activity for most, if not all HPs. To foster HP engagement with research, it is important to gain deep insight and understanding of what motivates or discourages them from taking up or continuing with research along the career pipeline. Hence this systematic review utilised two theoretical frameworks (EVC33,34 and SDT40,41) to (1) examine the facilitators and barriers to health professionals’ motivation to undertake research and (2) identify current research gaps.

Methods

The systematic review was conducted and reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement.

Inclusion and Exclusion Criteria

For the purpose of this review, the term HP researcher is defined as a medical graduate, nurse, midwife or AHP who works both clinically and in research – often varying the fractions throughout their career. The study population consisted of all HPs: AHPs, Medical, Nursing and Midwifery in hospital/research centres. Peer-reviewed articles written in English were considered if they related to HPs’ motivation, attitudes, and perceptions about undertaking research. There was no restriction on study design. Articles were excluded if they did not meet the inclusion criteria and/or they were review papers.

Search Strategy

Seven electronic databases comprising, CINAHL Complete, Informit, Medline Ovid, Medline (PubMed), Scopus, Web of Science and Google Scholar were searched. Peer reviewed primary articles, written in English and published between 2011 and 2021 (a decade of literature) were included in this review to reflect the current level of activity in the topic area. Search terms used were research, health professionals (including physicians, AHPs, nurses, midwives), research, and motivation. The terms research capacity, attitudes and barriers were purposefully excluded as they would have limited a full exploration of the topic. The comprehensive search strategy used for this review is presented in . Reference lists from previous reviews and included studies were also screened for additional relevant articles.

Study Selection

All the identified articles were imported into Endnote X9 software (Clarivate, Australia), then titles and abstracts were screened. Two authors (LMDA and BSMA) independently screened the titles and abstracts of the retrieved articles and excluded those that did not meet the inclusion criteria. Subsequently, full-text articles categorised as potentially eligible for inclusion were screened and disagreements were resolved in a consensus meeting.

Data Synthesis and Analysis

Meta-analysis was not possible, due to the heterogeneous nature of the included articles. A data extraction form was developed and used to collect relevant information from all the included studies. Descriptive data including author, study year, title, country of study, research/study focus, setting – urban/rural/remote, study design, type of participants, participant numbers, gender and mean age were extracted from each of the selected studies. Elements of the Self-Determination Theory (SDT)43 and the Expectancy-Value-Cost Model of Motivation (EVC)46 were adopted to facilitate extraction of the key determinant factors to research motivation. The identified barriers and facilitators of HPs’ motivation to undertake research, as reported in each reviewed article were independently extracted and categorised by two authors (LMDA and BSMA). Conceptual content analysis47,48 was used to extract and systematically code the factors as determined by the tenets of the EVC and SDT frameworks. Rules for translation of text into codes were developed by the researchers. Coding of pre-defined concepts/sets of categories was done manually and analysis of results involved quantification of coded concepts for frequency of occurrence and determination of relationships, trends and patterns.48 Three major factors were considered namely: Research Capacity which relates to expectancy and competence; Attitude which relates to value and connection; and Barriers which relate to cost and autonomy. Research capacity was coded based on explicit/implicit statements within each reviewed article about participants’ perceived levels of confidence/ competence to participate in research. Participants’ attitude to research was underpinned by the type of value they attributed to research – attainment, intrinsic and/or utility value, as well as the connection or relatedness they expressed towards research. Participants’ attitude to research was categorised into three groups based on the frequency with which values and connections held by the study participants were openly stated or inferred. Attitude to research was coded as “very positive” if all three value types were established in a study, “positive” if only one and “negative/fear of research” if no value or connection to research was indicated. For autonomy/ cost, reported barriers in all studies were listed and grouped into categories, number of categorised barriers in each study were then quantified. LMDA and BSMA independently extracted and categorised all factors and subsequently met to check for consistency. All discrepancies were resolved through discussion. For the purpose of this review, research capacity is defined as the ability to engage in, perform or carry out quality research.49 The expectancy and competence of individuals to carry out research activities underpins research capacity and was viewed through the EVC (expectancy) and SDT (competence) frameworks. While it is postulated that there are two types of expectancies: ability beliefs that comprise of current/immediate beliefs about being able to complete a task and expectancy beliefs that reflect being able to do the task in the future, most investigations collapse measures of ability and expectancy beliefs into a general expectancy scale.46 Attitude to undertaking research was viewed through the EVC (value) and SDT (connection) frameworks. Value is differentiated into three components: value of attainment is espoused in meeting a personal need; intrinsic value is gained through personal enjoyment or satisfaction and utility value is perceived usefulness for future goals and may be predictive of current and future interest.46 Connection or relatedness is where people need to experience a sense of belonging and attachment to other people.44 Barriers to undertaking research was also viewed through the EVC (Cost) and SDT (autonomy) frameworks where the perceived cost of undertaking research competes with other goals,44 and autonomy is seen as the need to feel in control of one’s own behaviours and goals without undue external influences.44 Cost and autonomy are largely seen as influences external to the individual although they may be encountered at the individual, organisational and/or system level.43,46

Quality Assessment of Reviewed Articles

The Quality Assessment Tool for Studies with Diverse Designs (QATSDD) was used to assess the methodological consistency and quality of the included studies.50 This tool contains 16 items and is used for examining studies with different research designs. Each of the included studies was graded on a scale of 0 to 3 for each criterion, with 0 = not at all, 1 = very slightly, 2 = moderately and 3 = complete. To assess the methodological quality of each of the included studies, the criteria scores were summed and expressed as a percentage of the maximum possible score. The percentage scores were classified into low (<50%), medium (50–80%) or high (>80%) quality evidence for easy identification. The QATSDD criteria included: (1) theoretical framework; (2) aims/objectives; (3) description of research setting; (4) sample size; (5) representative sample of target group; (6) procedure for data collection; (7) rationale for choice of data collection tool(s); (8) detailed recruitment data; (9) assessment of reliability and validity of measurement tool(s) (Quantitative only); (10) fit between research question and method of data collection (Quantitative only); (11) fit between research question and data collection method (Qualitative only); (12) fit between research question and method of analysis; (13) good justification for analytical method selected; (14) reliability of analytical process (Qualitative only); (15) evidence of user involvement in design; (16) strengths and limitations.50

Results

Included Studies

Four thousand and twenty four (4024) articles were identified from all searched databases. Ten (10) additional articles were identified through hand searching. After screening the titles and abstracts of the identified articles and reviewing 228 full texts, 46 met the inclusion criteria for this review as shown in Figure 1.
Figure 1

Flow chart of the study selection protocol. PRISMA figure adapted from Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 6(7):e1000097. Creative Commons45.

Flow chart of the study selection protocol. PRISMA figure adapted from Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 6(7):e1000097. Creative Commons45.

Assessment of Methodological Quality

Table 1 portrays the QATSDD assessment with scores ranging from 33% to 90%. The aims and objectives, description of the research setting as well as the fit between research question and data collection method were well addressed in most studies. Strengths and limitations of the studies were also generally well addressed by most studies. Nonetheless, good justification for analytical method selected was overlooked in 14 studies and only 19 (41.3%) studies had evidence of user involvement in the design. Overall, 10 studies (22%) were rated as high quality because they were judged to be explicit in their methodology and mostly utilised theoretical frameworks. Thirty-five (76%) were medium quality studies and some of the weaknesses identified from these studies included: lack of theoretical framework, inadequate sample sizes and poor reliability. One study51 met only few quality criteria, had low rating (33%) and therefore was removed from the review.
Table 1

Quality Assessment of the Included Studies

QATSDD Criteria12345678910111213141516Total Score% of Total ScoreGrade
Akerjordet, Lode, and Severinsson 2012830321310332N/A30N/A0324/4257Good
Albert et al 2016670333333233N/A31N/A0333/4279Good
Alison, Zafiropoulos, and Heard 2017640333333333N/A33N/A0336/4286Excellent
Bench, Dowie-Baker, and Fish 201974033123031333032232/4867Good
Berthelsen and Holge-Hazelton 2015840332232333N/A21N/A0229/4269Good
Borkowski, McKinstry, and Cotchett 2017520321323213N/A32N/A0227/4264Good
Chan et al 2011680322323333N/A20N/A0026/4262Good
Choo, Muninathan, Pung, and Ramanathan 2017890333323313N/A31N/A2232/4276Good
Cianciolo et al 20206933311322N/AN/A33232334/4281Excellent
Connolly, Allum, Shaw, Pattison, and Dark 201875333233321332332342/4886Excellent
Conradie, Duys, Forget, and Biccard 201816033323130323130333/4869Good
Dannapfel, Peolsson, and Nilsen 20138503323312N/AN/A13331028/4267Good
Dannapfel, Peolsson, Stahl, Oberg, and Nilsen 20148633323312N/AN/A23331335/4283Excellent
Elphinston and Pager 2015530332131233N/A30N/A0327/4264Good
Finch, Cornwell, Nalder, and Ward 20155403333322N/AN/A33130332/4276Good
Harvey, Plummer, Nielsen, Adams, and Pain 20165503333202N/AN/A13230328/4267Good
Hiscock et al 2014560322330103N/A31N/A2326/4262Good
Ito-Ihara et al 201391033232230323130333/4869Good
Janssen, Hale, Mirfin-Veitch, and Harland 201693033133323333330339/4881Excellent
Jones, Griffith, Ubel, Stewart, and Jagsi 201632032233120333200330/4863Good
Lowrie et al 20157603233313N/AN/A33332335/4283Excellent
Luckson, Duncan, Rajai, and Haigh 201879033122331333103334/4871Good
Mahmoud et al 2011870332220203N/A31N/A2225/4260Good
Mansi, Karam, and Chaaban 2019700332220202N/A30N/A0322/4252Good
Marshall et al 201665033313333333333343/4890Excellent
McDonald 2020920332230313N/A30N/A2328/4267Good
McMaster, Jammali-Blasi, Andersson-Noorgard, Cooper, and McInnes 2013570332321313N/A30N/A1126/4262Good
McNab, Berry, and Skapetis 2019580333220312N/A33N/A2330/4271Good
Mills et al 201930333330203N/A30N/A0326/4262Good
Oliver-Baxter, Brown, and McIntyre 2017590332330313N/A20N/A0326/4262Good
Pager, Holden, and Golenko 201260033223221221010327/4856Good
Paget, Lilischkis, Morrow, and Caldwell 2014660323132303N/A20N/A3025/4260Good
Pain, Petersen, and Fernando 2018610332220303N/A21N/A0223/4255Good
Sarwar et al 2018800333320333N/A30N/A2230/4271Good
Scala, Patterson, Stavarski, and Mackay 20197123333302N/AN/A33030230/4271Good
Siedlecki and Albert 20167233322203N/AN/A22130228/4267Good
Silberman et al 2012730332320303N/A30N/A0325/4260Good
Snelgrove and James 201177033112030332130126/4262Good
Stewart et al 2015810332231233N/A33N/A2232/4276Good
Stewart et al 2019783331332233N/A32N/A0334/4281Excellent
Sultana, Al Jeraisy, Al Ammari, Patel, and Zaidi 2016821332331333N/A31N/A2334/4281Excellent
Torres et al 2017900332231333N/A31N/A2231/4274Good
van Hoving and Brysiewicz 2017880331331303N/A31N/A0327/4264Good
Wenke, Mickan, and Bisset 2017620331233303N/A32N/A0329/4269Good
Wenke, Noble, Weir, and Mickan 20206333332323N/AN/A33330236/4286Excellent
White 2013511321101212N/A11N/A0016/4833Low

Notes: The QATSDD criteria included: (1) theoretical framework; (2) aims/objectives; (3) description of research setting; (4) sample size; (5) representative sample of target group; (6) procedure for data collection; (7) rationale for choice of data collection tool(s); (8) detailed recruitment data; (9) assessment of reliability and validity of measurement tool(s) (quantitative only); (10) fit between research question and method of data collection (quantitative only); (11) fit between research question and data collection method (qualitative only); (12) fit between research question and method of analysis; (13) good justification for analytical method selected; (14) reliability of analytical process (qualitative only); (15) evidence of user involvement in design; (16) strengths and limitations.

Quality Assessment of the Included Studies Notes: The QATSDD criteria included: (1) theoretical framework; (2) aims/objectives; (3) description of research setting; (4) sample size; (5) representative sample of target group; (6) procedure for data collection; (7) rationale for choice of data collection tool(s); (8) detailed recruitment data; (9) assessment of reliability and validity of measurement tool(s) (quantitative only); (10) fit between research question and method of data collection (quantitative only); (11) fit between research question and data collection method (qualitative only); (12) fit between research question and method of analysis; (13) good justification for analytical method selected; (14) reliability of analytical process (qualitative only); (15) evidence of user involvement in design; (16) strengths and limitations.

Study Characteristics

A summary of the characteristics of the included 45 studies is presented in Table 2. The total number of participants was 11,438 and participant numbers per study ranged from 15 to 2052. Of the 33 studies that included both genders, 5620 (62.2%) of the 9039 participants were females. Only 19 studies indicated participants’ mean age which ranged from 34.5 ± 9.5 to 50 ± 7.7 years.
Table 2

Study Characteristics and Participant Demographics for Reviewed Articles

Author and YearTitleCountrySettingStudy DesignType of ParticipantsParticipants (No., Gender, Mean Age [Yrs.]) Response Rate
Akerjordet, Lode, and Severinsson 201283Clinical nurses’ attitudes towards research, management and organisational resources in a university hospital: part 1NorwayNot statedQuantitativeNursesN = 364; Females (95%, n =347); Age: (41.2 ± 11.52) RR 61%
Albert et al 201667Clinical nurse specialist roles in conducting research: Changes over 3 yearsUSAUrbanQuantitativeNursesN = 2052; Females (95.9%, n =1782); Age: (50.3 ± 9.3) RR 25%
Alison, Zafiropoulos, and Heard 201764Key factors influencing allied health research capacity in a large Australian metropolitan health districtAustraliaUrbanQuantitativeAllied HealthN = 278; Females**; Age: <25->60yrs: RR 54%
Bench, Dowie-Baker, and Fish 201974Orthopaedic nurses’ engagement in clinical research; an exploration of ideas, facilitators, and challengesUKNot statedMixed methodsNursesN = 75; Females (75%, n =56); Age: (>40 = 56%) RR 20%
Berthelsen and Holge-Hazelton 201584Orthopaedic nurses’ attitudes towards clinical nursing research - A cross-sectional surveyDenmarkRegionalQuantitativeNursesN = 43; Females (97.8%, n =42); Age: (>40 =62.7%) RR 49.4%
Borkowski, McKinstry, and Cotchett 201752Research culture in a regional allied health settingAustraliaRegionalQuantitativeAllied HealthN = 136; Females**; Age**: RR 46%
Chan et al 201168Barriers and perceived needs for understanding and using research among emergency nursesUSANot statedQuantitativeNursesN = 978; Females**; Age**: RR 3.6%
Choo, Muninathan, Pung, and Ramanathan 201789Attitudes, barriers, and facilitators to the conduct of research in government hospitals: a cross-sectional study among specialists in government hospitals, northern states of MalaysiaMalaysiaNot statedQuantitativePhysiciansN = 467; Females (49.9%, n =233); Age: 30–44yrs n=340 (72.8%) RR 63.7%
Cianciolo et al 202069Physician-scientist or basic scientist? Exploring the nature of clinicians’ research engagementUSA and PakistanUrban and ruralQualitativePhysiciansN = 36; Females (39%, n =14); Age: (34.5+9.5)
Connolly, Allum, Shaw, Pattison, and Dark 201875Characterising the research profile of the critical care physiotherapy workforce and engagement with critical care research: a UK national surveyUKNot statedQuantitativePhysiotherapistsN = 268; Females** Age**RR**
Conradie, Duys, Forget, and Biccard 201816Barriers to clinical research in Africa: a quantitative and qualitative survey of clinical researchers in 27 African countriesAfricaNot statedMixed methodsPhysiciansN = 134; Females**; Age**: RR=32%
Dannapfel, Peolsson, and Nilsen 201385What supports physiotherapists’ use of research in clinical practice? A qualitative study in SwedenSwedenUrban and ruralQualitativePhysiotherapistsN = 45; Females (75%, n =33); Age: (41+11) RR**
Dannapfel, Peolsson, Stahl, Oberg, and Nilsen 201486Applying self-determination theory for improved understanding of physiotherapists’ rationale for using research in clinical practice: a qualitative study in SwedenSwedenUrban and ruralQualitativePhysiotherapistsN = 45; Females (75%, n =33); Age: (41.11+5) RR= RR**
Elphinston and Pager 201553Untapped potential: Psychologists leading research in clinical practiceAustraliaUrbanQuantitativePsychologistsN = 60; Females (77%, n =46); Age**: RR mean 26.1 across 3 time points
Finch, Cornwell, Nalder, and Ward 201554Uncovering motivators and stumbling blocks: Exploring the clinical research experiences of speech-language pathologistsAustraliaUrban and ruralQualitativeSpeech language pathologistsN = 21; Females (100%, n =21); Age**: RR**
Harvey, Plummer, Nielsen, Adams, and Pain 201655Becoming a clinician researcher in allied healthAustraliaRegionalQualitativeAllied HealthN = 15; Females (87%, n =13); Age**: RR**
Hiscock et al 201456Clinical research potential in Victorian hospitals: the Victorian clinician researcher needs analysis surveyAustraliaUrban and rural and remoteQuantitativeAllied Health Nurses PhysiciansN = 1027; Females (67%, n =688); Age**: RR**
Ito-Ihara et al 201391An international survey of physicians regarding clinical trials: a comparison between Kyoto University Hospital (KUPH) and Seoul National University Hospital (SNUH)Japan and South KoreaUrbanQuantitativePhysiciansKUPH N = 301; Females (17%, n = 50); Age ≤29 -≥50: RR 64%SNUH N = 398; Females 37% n = 147: Age ≤29->50: RR 45%
Janssen, Hale, Mirfin-Veitch, and Harland 201693Perceptions of physiotherapists towards research: a mixed methods studyNew ZealandNot statedMixed methodsPhysiotherapistsN = 25; Females (84%, n =21); Age: (38.11); RR**
Jones, Griffith, Ubel, Stewart, and Jagsi 201632A mixed-methods investigation of the motivations, goals, and aspirations of male and female academic medical facultyUSANot statedMixed methodsPhysiciansN = 1275; Females (45.6%, n =582); Age** RR=74.6%
Lowrie et al 201576Research is ‘a step into the unknown’: an exploration of pharmacists’ perceptions of factors impacting on research participation in the NHSUKUrban and ruralQualitativePharmacistsN = 54; Females (68%, n =37); Age** RR**
Luckson, Duncan, Rajai, and Haigh 201879Exploring the research culture of nurses and allied health professionals (AHPs) in a research-focused and a non-research-focused healthcare organisation in the UKUKUrbanMixed methodsAllied Health NursesN = 224: Females (87%, n =194); Age** RR=24%
Mahmoud et al 201187Survey of medical specialists on their attitudes to and resources for health research in NigeriaNigeriaNot statedQuantitativePhysiciansN = 51; Females (22%, n =11); Age**: (45.3+7.23) RR=63.3%
Mansi, Karam, and Chaaban 201970Attitudes of residents and program directors towards research in otolaryngology residencyUSANot statedQuantitativePhysiciansN = 209 Residents n =178 Program directors n= 31 Females**; Age**: RR**
Marshall et al 201665Survey of research activity among multidisciplinary health professionalsAustraliaUrbanMixed MethodsAllied Health Nurses PhysiciansN = 151; Females (56.2%, n = 82); Age** RR=2.5%
McDonald 202092Motivators and stressors for Canadian research coordinators in critical care: The motivate surveyCanadaNot statedQuantitativeAllied Health Nurses PhysiciansN = 66; Females**: Age**: RR=78%
McMaster, Jammali-Blasi, Andersson-Noorgard, Cooper, and McInnes 201357Research involvement, support needs, and factors affecting research participation: A survey of Mental Health Consultation Liaison NursesAustraliaNot statedQuantitativeNursesN = 31; Females (44%, n =14); Age: (50–59 yrs. =50%) RR=94%
McNab, Berry, and Skapetis 201958The potential of a lecture series in changing intent and experience among health professionals to conduct research in a large hospital: a retrospective pre-post designAustraliaUrbanQuantitativeAllied Health NursesN = 49; Females (89.8%, n =44); Age: (50–65years =47.9%) RR=38.9%
Mills et al 20193Attractions and barriers to Australian physician-researcher careers: Physician-researcher influencesAustraliaNot statedQuantitativePhysiciansN = 427; Females (44%, n =31); Age: (38+13): RR**
Oliver-Baxter, Brown, and McIntyre 201759Surviving or thriving in the primary health care research workforce: the Australian experienceAustraliaUrban and rural and remoteQuantitativeAllied Health, Nurses, PhysiciansN = 37; Females (75.7%, n =28); Age: (47.9+10.2): RR**
Pager, Holden, and Golenko 201260Motivators, enablers, and barriers to building allied health research capacityAustraliaNot statedQuantitativeAllied HealthN = 85; Females**; Age**: RR**
Paget, Lilischkis, Morrow, and Caldwell 201466Embedding research in clinical practice: differences in attitudes to research participation among clinicians in a tertiary teaching hospitalAustraliaUrbanQuantitativeAllied Health, Nurses, PhysiciansN = 208; Females (76%, n =158); Age: <30 years =20%, 30–50 years =66%, >50 years =14%: RR=17%
Pain, Petersen, and Fernando 201861Building allied health research capacity at a regional Australian hospital: A follow-up studyAustraliaRegionalQuantitativeAllied Health2011: N = 248; Females (76%, n =188); Age**: RR43%2015: N = 234; Females (76%, n =178); Age**: RR37%
Sarwar et al 201880Attitude, perception, willingness, motivation and barriers to practice-based research: A cross-sectional survey of hospital pharmacists in Lahore, Punjab, PakistanPakistanUrbanQuantitativePharmacistsN = 130; Females (42.3%, n =55); Age: <30yrs (82.3%) RR=92%
Scala, Patterson, Stavarski, and Mackay 201971Engagement in research: A clinical nurse profile and motivating factorsUSANot stated.QualitativeNursesN = 34; Females (91.2%, n =31); Age**: RR**
Siedlecki and Albert 201672Research-active clinical nurses: against all oddsUSANot statedQualitativeNursesN = 26; Females**; Age: (50+7.7): RR**
Silberman et al 201273Recruiting researchers in psychiatry: The influence of residency vs early motivationUSAUrbanQuantitativePhysiciansN = 127; Females (51.6%, n =65.5); Age**: RR=67%
Snelgrove and James 201177Graduate nurses’ and midwives’ perceptions of researchUKNot statedQualitativeNursesN = 58; Females** Age**: RR=29%
Stewart et al 201581Building hospital pharmacy practice research capacity in Qatar: a cross-sectional survey of hospital pharmacistsQatarUrbanQuantitativePharmacistsN = 213; Females (47.9%, n =102); Age**: RR= 53.1%
Stewart et al 201978A theoretically informed survey of the views and experiences of practicing pharmacists on research conduct, dissemination and translationUKRural and remoteQuantitativePharmacistsN = 136; Females (76.5%, n =104); Age: (>45 30.9%) RR= 19.4%
Sultana, Al Jeraisy, Al Ammari, Patel, and Zaidi 201682Attitude, barriers and facilitators to practice-based research: cross-sectional survey of hospital pharmacists in Saudi ArabiaSaudi ArabiaUrbanQuantitativePharmacistsN = 182; Females (51.1%, n =93); Age**: RR=84%.
Torres et al 201790Assessment of research capacity among nursing faculty in a clinical intensive university in the PhilippinesPhilippinesUrbanQuantitativeNursesN = 66; Females (77%, n =51); Age**: RR 80.49%
van Hoving and Brysiewicz 201788African emergency care providers’ attitudes and practices towards researchAfricaNot statedQuantitativePhysicians, NursesN = 188; Females (27.4%, n =46); Age: (36.3+9.1) RR= 34.8%,
Wenke, Mickan, and Bisset 201762A cross sectional observational study of research activity of allied health teams: is there a link with self-reported success, motivators and barriers to undertaking research?AustraliaRegionalQuantitativeAllied HealthN = 95; Females**; Age**: RR**
Wenke, Noble, Weir, and Mickan 202063What influences allied health clinician participation in research in the public hospital setting: a qualitative theory-informed approachAustraliaRegionalQualitativeAllied HealthN = 21; Females**; Age**: RR 2.9%

Note: **Values/categories not specified.

Study Characteristics and Participant Demographics for Reviewed Articles Note: **Values/categories not specified. Sixteen (16) of the studies were conducted in Australia,3,52–66 eight from USA,32,67–73 six from UK,74–79 four from the Middle East,69,80–82 four from Europe,83–86 three from Africa,16,87,88 two from South East Asia,89,90 one from Japan and South Korea91 and one each from Canada92 and New Zealand93 Study settings included 13 urban,53,58,64–67,73,79–82,90,91 six regional52,55,61–63,84 and five urban and rural settings.54,69,76,85,86 Two studies were conducted in all three settings (urban, rural and remote)56,59 while one was located in rural and remote settings.78 The setting type was not specified in 18 studies. The study designs were varied with 29 quantitative, 10 qualitative and six mixed methods studies. Five studies focused on all HPs56,59,65,66,92 as a heterogeneous group, two on AHPs and nurses58,79 and one on nurses and physicians.88 Overall, 18 studies concentrated on AHPs with 7 of those studies considering them as a homogenous group,52,55,60–64 five studies were solely on pharmacists,76,78,80–82 four on physiotherapists75,85,86,93 and one each on psychologists53 and speech language pathologists.54 Ten studies focused on nurses57,67,68,71,72,74,77,83,84,90 and nine on physicians.3,16,32,69,70,73,87,89,91 While HPs’ motivation to do research was investigated by all 45 reviewed studies, only eight studies utilised a theoretical framework or model in their investigation. These included Self-Determination Theory (SDT),86 Social Cognitive Career Theory (SCCCT) and Professional Identity Formation as an integrated framework,69 COM-B framework,75 Vroom’s Expectancy Theory,71 Research-Active Nurse Model,72 Theoretical Domains Framework (TDF),78 Social Cognitive Theory,82 combination of TDF and COM-B.63

Factors Influencing Motivation

In relation to factors influencing motivation, all the studies in this review were appraised utilising the EVC and SDT frameworks. A summary of the findings is presented in Table 3.
Table 3

Theoretical Framework Summary of Study Outcomes

Author and Year/Reference #Type of ParticipantsTheoretical FrameworkResearch CapacityAttitudeBarriers
Akerjordet, Lode, and Severinsson 201283NursesNILLacks confidence requires support>20% wanted to improve research skills as did 56% of the 8% engaged in researchPositive – utility valuePositive attitude to research by 40% all respondentsLack of designated time for researchLack of organisational supportLack of knowledgeLack of support including acceptance by colleagues, reward, and acknowledgementLack of interest in research
Albert et al 201667NursesNILCompetent< 42% conducted researchPositive – utility valueMid-range scores for value and confidence in conducting researchLack of knowledgeLack of support including acceptance by colleagues, reward, and acknowledgementAccess to literature
Alison, Zafiropoulos, and Heard 201764Allied HealthNILLacks confidence requires supportTen of the 19 items at the individual level had a median score of ≤5Positive – utility valueMain motivators to performing research reported by participants included: to develop skills (84%, n=210)Lack of designated time for researchLack of funding including incentives and failed grantsLack of training/resources/dedicated research teamLack of confidence, competence, skills, or experienceLack of organisational supportLack of interest in researchAccess to literature
Bench, Dowie-Baker, and Fish 201974NursesNILLacks confidence requires support27% respondents had desire to be involved in research. 87% reported never having published 61% never having presented at a conferenceNegative – no connection to researchersResearch not part of the role - Unpleasant and scaryLack of designated time for researchLack of confidence, competence, skills, or experienceLack of training/resources/dedicated research teamLack of knowledge
Berthelsen and Holge-Hazelton 201584NursesNILLacks confidence requires supportInterested in improving research skillsVery positive – attainment, intrinsic and utility value. Low theoretical knowledge and practical research competenciesLack of designated time for researchLack of confidence, competence, skills, or experienceLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgementLack of interest in research
Borkowski, McKinstry, and Cotchett 201752Allied HealthNILLacks confidence requires supportLow research capacity and culture with other work roles taking priority and lack of time and skillsPositive – utility valueFocus on developing skills but unable to overcome numerous barriersLack of designated time for researchLack of confidence, competence, skills, or experience
Chan et al 201168NursesNILLacks confidence requires supportOverwhelming lack of research experience but highly interestedVery positive – attainment, intrinsic and utility valueLack of confidence, competence, skills, or experienceLack of knowledgeLack of support including acceptance by colleagues, reward, and acknowledgement
Choo, Muninathan, Pung, and Ramanathan 201789PhysiciansNILCompetent34.8% unlikely to participate in research under present working conditionsNegative – no connection to researchersIdentified research benefits for patients and society (98.9%) and professional development (93.3%). However, less than half perceive research to be one of their job functions (49.7%)Lack of designated time for researchLack of funding including incentives and failed grantsLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgement
Cianciolo et al 202069PhysiciansSCCT and Professional Identity FormationCompetentPakistan better alignment between clinicians’ research success and national priorities than U. SVery positive – attainment, intrinsic and utility valueClinicians and scientists resilient in pursuing researchLack of funding including incentives and failed grants
Connolly, Allum, Shaw, Pattison, and Dark 201875PhysiotherapistsCOM-B model. capability, opportunity, motivation, and behaviourCompetent84.7% indicated existing research experience. 60.8% had postgraduate qualifications at master’s level or aboveVery positive – attainment, intrinsic and utility value. 24.2% of respondents currently involved in research. 10.4% not interested in any research training.Lack of designated time for researchLack of funding including incentives and failed grantsLack of confidence, competence, skills, or experience
Conradie, Duys, Forget, and Biccard 201816PhysiciansNILLacks confidence requires supportPotential for research once barriers are addressed.Very positive – attainment, intrinsic and utility valueLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgement. Barriers to successful participation in ASOS related to resource limitations and not motivation of the clinician investigators.
Dannapfel, Peolsson, and Nilsen 201385PhysiotherapistsNILLacks confidence requires supportResearch useChanges in practice based on research findings, which reflects changes in thinking rather than actual behaviourVery positive – attainment, intrinsic and utility valuePositive attitudes to research and a strong motivation to use research in clinical practiceLack of designated time for researchLack of knowledgeLack of confidence, competence, skills, or experienceLack of support including acceptance by colleagues, reward, and acknowledgementAccess to literature
Dannapfel, Peolsson, Stahl, Oberg, and Nilsen 201486PhysiotherapistsSelf-determination Theory SDTLacks confidence requires supportMotivation measured along continuum of autonomy from intrinsic – extrinsic-amotivatedVery positive – attainment, intrinsic and utility valueAutonomous forms of motivation were most commonLack of interest in research
Elphinston and Pager 201553PsychologistsNILCompetentGreater researchcapacity of psychologists compared with other allied health professionsNegative – no connection to researchersMajority of psychologists instudy perceived that research not part of their work roleLack of designated time for researchLack of funding including incentives and failed grantsLack of organisational support
Finch, Cornwell, Nalder, and Ward 201554Speech language pathologistsNILLacks confidence requires supportTime constraints from their clinical caseload greatly limited their research engagementFear of researchLack of research training was viewed as a key obstacle preventing participants who were not engaged in research from partaking in research related activitiesLack of designated time for researchLack of organisational supportLack of support including acceptance by colleagues, reward, and acknowledgementLack of training/resources/dedicated research team
Harvey, Plummer, Nielsen, Adams, and Pain 201655Allied HealthNILLacks confidence requires supportClinician researcher career trajectoryVery positive – attainment, intrinsic and utility valuePredisposing personal qualities and exposure to research facilitated a research debut by priming participants to take advantage of workplace opportunities for research.Lack of designated time for researchLack of funding including incentives and failed grantsLack of organisational supportLack of support including acceptance by colleagues, reward, and acknowledgement
Hiscock et al 201456Allied Health, Nurses, PhysiciansNILCompetentGender, age, occupation, and postgraduate qualification – were significantly associated with research activityVery positive – attainment, intrinsic and utility valueResearch-inactive clinicians identified protected research time as the key enabler of future research.Lack of designated time for researchLack of organisational supportLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgement
Ito-Ihara et al 201391PhysiciansNILCompetentPhysicians with experience in clinical trialsPositive – utility valueShowed interest in conducting clinical trialsLack of designated time for researchLack of funding including incentives and failed grantsLack of organisational supportLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgementUnrealistic workload and tedious research process
Janssen, Hale, Mirfin-Veitch, and Harland 201693PhysiotherapistsNILLacks confidence requires support56% of subjects had not attended a research course and 60%Confidence in conducting research ranged from 0 to 100 [mean 38 (SD 27)]Positive – utility valuePhysiotherapists were generally positive towards research but struggled with the concept of research. use of research vs participation in research.Lack of confidence, competence, skills, or experience
Jones, Griffith, Ubel, Stewart, and Jagsi 201632PhysiciansNILCompetentAttrition from academic medicine may be more so due to a combination of conflicting valuesVery positive – attainment, intrinsic and utility value. Elite sample of highly apt and research-motivated clinician– investigatorsLack of designated time for researchLack of funding including incentives and failed grantsLack of support including acceptance by colleagues, reward, and acknowledgement
Lowrie et al 201576PharmacistsNILLacks confidence requires support. Active engagement in research is set out as a part of the role however, saw research as an activity that involved substantial personal cost for limited personal gain.Negative – no connection to researchersHSR for most pharmacists, for multiple reasons, was viewed as an exceptional activity rather than a core role.Lack of designated time for researchLack of confidence, competence, skills, or experienceLack of organisational supportLack of interest in research
Luckson, Duncan, Rajai, and Haigh 201879Allied Health, NursesNILLacks confidence requires supportIndividuals lacking adequate skills to undertake most aspects of research.Positive – utility valuePartner with external links such as universities to do research.Lack of confidence, competence, skills, or experienceLack of organisational supportLack of knowledgeLack of support including acceptance by colleagues, reward, and acknowledgement
Mahmoud et al 201187PhysiciansNILLacks confidence requires supportInternet always source of literature search for 96.1% library 28%.Very positive – attainment, intrinsic and utility value. Advancement of knowledge strongest motivator for research 78.4%Lack of designated time for researchLack of confidence, competence, skills, or experienceAccess to literatureLack of research opportunities
Mansi, Karam, and Chaaban 201970PhysiciansNILCompetent90% of the residents reported previous research experience during medical school, and 71.6% reported research during their undergraduate educationVery positive – attainment, intrinsic and utility value. More than half (56%) of the residents surveyed agreed that resident research is a positive experience overall.Lack of designated time for researchLack of knowledgeLack of interest in research
Marshall et al 201665Allied Health, Nurses, PhysiciansNILCompetent(n = 113; 75.3%) reported they had actively participated in ethics-approved research.Very positive – attainment, intrinsic and utility value. Embedding research in clinical practice was critical and should be seen as core businessLack of designated time for researchLack of research opportunities
McDonald 202092Allied Health, Nurses, PhysiciansNILLacks confidence requires support. Mainly involved in applying for research ethics board approvals, entering data, attending study start-up and update meetings, and screening patients for study eligibility.Positive – utility valueOverall, 26% were “very satisfied” and 53% were “satisfied” with their jobs.Lack of designated time for researchLack of support including acceptance by colleagues, reward, and acknowledgementUnrealistic workload and tedious research processFelt undervalued
McMaster, Jammali-Blasi, Andersson-Noorgard, Cooper, and McInnes 201357NursesNILLacks confidence requires supportMajority of respondents reported no current involvement in researchPositive – utility valueOver half of participants in our study reported having research goals for the following 12 monthsLack of designated time for researchLack of confidence, competence, skills, or experienceLack of organisational supportLack of training/resources/dedicated research teamLack of interest in research
McNab, Berry, and Skapetis 201958Allied Health, NursesNILCompetentSix one-hour face to face research lectures improvement in self-reported levels of intention to become involved in research as well as research experience.Positive – utility valueSignificant change in the self-assessed level of experience was seen in a wide range of research areas.NIL
Mills et al 20193PhysiciansNILCompetent49% agreed that medical research is a lifestyle-friendly careerPositive – utility valueImprove human health, intellectual stimulation, and career diversityLack of designated time for researchLack of funding including incentives and failed grantsLack of training/resources/dedicated research teamUnrealistic workload and tedious research process
Oliver-Baxter, Brown, and McIntyre 201759Allied Health, Nurses, PhysiciansNILCompetentHigher research degree graduates completed their RHD in the last 5 yearsPositive – utility valueImportance of connection/relatedness. Stayers are more affiliated with professional organisation than leavers.Lack of designated time for researchLack of funding including incentives and failed grants
Pager, Holden, and Golenko 201260Allied HealthNILCompetent43.9% of all participants had postgraduate qualifications. About half were required to do research as part of their role description.Very positive – attainment, intrinsic and utility valueDesire to develop skills, increase job satisfaction, and address identified problemsLack of designated time for researchLack of funding including incentives and failed grantsLack of organisational supportLack of training/resources/dedicated research teamLack of knowledgeLack of support including acceptance by colleagues, reward, and acknowledgement
Paget, Lilischkis, Morrow, and Caldwell 201466Allied Health, Nurses, PhysiciansNILCompetentMost participants identified themselves as having research skills or experience (63%) or formal research training (66%)Very positive – attainment, intrinsic and utility value. Enjoy participating in research (68%) and the departments value research (66%)Lack of designated time for researchLack of funding including incentives and failed grantsLack of organisational supportLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgement
Pain, Petersen, and Fernando 201861Allied HealthNILLacks confidence requires support. Research experience increased from 2011 to 2015 as did the need for support. Conducting research was part of role description.Positive – utility valueMake a difference in clinical care (56.8%) and evaluate their service (52.6%).Lack of designated time for research
Sarwar et al 201880PharmacistsNILCompetentMajority of the respondents (n = 112, 86.2%) agreedwith the statement “I have the required abilities to participate in research”.Positive – utility valueUplifting of the profession,opportunity to gain knowledge, provide better services and increased patient care.Lack of designated time for researchLack of funding including incentives and failed grantsLack of knowledgeLack of research opportunities
Scala, Patterson, Stavarski, and Mackay 201971NursesVroom’s expectancy theory framework:Competent7 (20.6%) Master’s degreePositive – utility valueFeeling empowered to make a difference and legitimize the professionLack of organisational support
Siedlecki and Albert 201672NursesResearch-Active Nurse ModelCompetent65% Master’s DegreeVery positive – attainment, intrinsic and utility value. Passion for enquiry; they enjoyed the process, despite the work and personal time involved.Lack of designated time for researchLack of funding including incentives and failed grantsLack of knowledge
Silberman et al 201273PhysiciansNILCompetent30.7% had master’s or doctoral degrees in addition to medical degrees.Very positive – attainment, intrinsic and utility value. Had a consistent pattern of interest and involvement in research, starting well before residency.Lack of funding including incentives and failed grantsBarriers specific to women
Snelgrove and James 201177NursesNILCompetentMost participants had completed or were completing a master’s level degreeResearch frightening/Lack of connection and institutional support. Despite positive attitudes and some research education, many of the participants described research as ‘frightening’, with a lack of skills cited as a determinant of this fearLack of organisational supportLack of training/resources/dedicated research team
Stewart et al 201581PharmacistsNILCompetentOne third (32.9%, n = 70) had completed a postgraduate course, one third (30.0%, n = 64) were currently studying for a postgraduate qualification.Positive – utility valueGenerally held positive attitudes, with a median overall score of 13 (IQR 8–18), range possible 8–40, with 8 representing best positive attitudinal scoreLack of organisational supportLack of training/resources/dedicated research team
Stewart et al 201978PharmacistsTheoretical Domains Framework TDFCompetentPostgraduate qualifications 58.1% (79) 14.7% (n=20) had been involved in research in the past and had plans to be involved in the future, and 12.5% (n=17) were currently involved in research.Positive – utility valueAttainment value – 94% benefit to profession. Utility value – benefit to patients 90.45 benefit to self-72.6%.Lack of designated time for researchLack of organisational supportLack of support including acceptance by colleagues, reward, and acknowledgement
Sultana, Al Jeraisy, Al Ammari, Patel, and Zaidi 201682PharmacistsSocial cognitive theoryCompetentPrior research experience was reported by 59% of participants.More than 40% of participants hold Masters degree in pharmacy.Positive – utility value70% of the participants were interested in doing practice-based research with nearly half willing to make time for it.Lack of designated time for researchLack of organisational supportLack of research opportunities
Torres et al 201790NursesNILCompetentPerceived knowledge and skills of the research process were above 3 on a 5-point scale (means ranged between 3.14 and 4.06).Positive – utility valueProfessional advancement, tenure and promotion, research recordLack of confidence, competence, skills, or experienceLack of knowledgeUnrealistic workload and tedious research process
van Hoving and Brysiewicz 201788Physicians, NursesNILCompetentHonours or Masters degree - 44 (26.2%). Doctoral degree - 35 (20.8%)Positive – utility valueImprovement of research skills (70.2%) and having research published (69.6%)Lack of designated time for researchLack of funding including incentives and failed grantsLack of training/resources/dedicated research teamAccess to literature
Wenke, Mickan, and Bisset 201762Allied HealthNILLacks confidence requires support. 80% of interviews was a lack of belief or confidence in their capability to undertake aspects of researchPositive – utility valueBetter patient outcomesLack of designated time for researchLack of funding including incentives and failed grantsLack of confidence, competence, skills, or experienceLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgement
Wenke, Noble, Weir, and Mickan 202063Allied HealthTheoretical Domains Framework YES TDF & COM- B systemLacks confidence requires supportAll ‘novice’ researchers and had no formal postgraduate research qualificationsFear of failure or feeling intimidatedClinicians described feeling overwhelmed or intimidated at the thought of undertaking researchLack of designated time for researchLack of funding including incentives and failed grantsLack of confidence, competence, skills, or experience
Theoretical Framework Summary of Study Outcomes

HPs’ Research Capacity

Research capacity was investigated in the studies in terms of competence/confidence and expectancy to do research. As shown in Table 3, over half 25 (56%) of the reviewed studies identified their participants as competent to undertake research, while the participants in the remaining 20 (44%) studies were identified as lacking confidence and requiring support to undertake research. Of the 25 studies where participants were identified as competent, seven focused on physicians (medical doctors).,3,32,69,70,73,89,91 another seven on AHPs,52,55,60–64 four of which targeted pharmacists.78,80–82 Five studies focused on nurses, four on all HP groups and one each on nurse-physician group and nurse-AHP group. Most participants who felt competent perceived that they had the required abilities, skills, and knowledge to participate in research. For example, participants in one study reported high competence levels ranging from 3.14 to 4.06 on a 5-point rating scale.90 About 60–90% of participants who were identified as competent reported having prior research experience, with 66–75% confirming that they had formal training during their undergraduate education.3,58,65,66,70,75,80,82,88,90 Between 20% and 65% of this group of participants indicated that they had either completed or were undertaking a postgraduate qualification which had enhanced their research capacity.59,60,71–73,75,77,78,81,82,88 Eleven studies that targeted AHPs reported that the participants lacked competence/confidence to undertake research. Similar results were obtained for five studies focused on nurses, two on physicians and one each on all HP groups and nurse-AHP group. Common features for these studies were overwhelming poor research capacity, very little or no prior research training/experience, low research culture with other work roles taking priority and need for research support. In one study, participants indicated that they had never attended research training nor spent time on research and reported mean confidence level of 38% (SD 27).93 Overall, the results show that HPs’ confidence and expectancy to undertake research is largely dependent on research skills and experience gained through research training during their undergraduate/postgraduate education. The medical doctors were the most confident to undertake research as indicated in seven out of nine studies (77.8%) compared to nurses in five out of 11 (45.5%) studies; and AHPs in seven out of 18 (38.9%) studies. This may be attributed to the reported early exposure to research training and research experience by the medical doctors in comparison to nurses and AHPs. These findings highlight the impact of research training on perceived competence, confidence, and capability to participate in research.

HPs Attitude – This Relates to Value and Connection

As depicted in Table 3, participants’ attitude to research was assessed as very positive in 17 (38%) studies,16,32,55,56,60,65,66,68–70,72,73,75,84–87 positive in 21 (47%) studies3,52,57–59,61,62,64,67,71,78–83,88,90–93 and negative in four (9%)53,74,76,89 studies. The 17 studies in which HPs were deemed very positive included six on medical doctors,16,32,69,70,73,87 five on AHPs,55,60,75,85,86 three on nurses55,60,75,85,86 and three on a combination of the three groups.56,65,66 The 21 studies that identified respondents as positive comprised nine on AHPs,52,61,62,64,78,80–82,93 (including four on pharmacists78,80–82 and one on physiotherapists),93 five on nurses,57,67,71,83,90 two on medical doctors3,91 and five on a combination of the HP groups – two focused on all three HP groups,59,92 two on AHPs and nurses58,79 and one on medical doctors and nurses88 The four studies in which HPs were identified as negative included two on AHPs – pharmacists76 and psychologists,53 one each on nurses74 and medical doctors.89 Another three studies reported their respondents as being afraid of research – two on AHPs54,63 and one on nurses.77 Generally, participants who demonstrated very positive attitude towards research were keen to contribute to clinical practice by engaging in collaborative research to advance clinical knowledge and improve patient health outcomes (utility value). Additionally, they were avidly interested in publishing, producing new knowledge, gaining grants and getting respect of colleagues (attainment value) as well as broadening personal scope of professional career and becoming knowledgeable researchers with genuine interest in research as a problem-solving tool32,55,69,87 (intrinsic value). This group of participants had genuine curiosity and willingness to learn, were mostly satisfied with their jobs, wanted to develop research skills so they could increase knowledge and develop cutting edge research that proffer solutions to clinical problems.55,60,75,85,86 They also felt a strong connection to research and their profession bodies. For example, research active pharmacists reported the importance of research in uplifting the pharmacy profession and enjoyed reading articles.80,82 Participants who demonstrated positive attitude mainly viewed research as beneficial for making a difference in clinical care with improved patient health outcomes and service delivery.16,70,73,91 This group focused on the utility of research and mainly focused on its benefits in improving clinical care and practice. For participants who were negative, the common attitude reported included perceived benefit only for the institution in which they worked.89 They also did not feel supported by their organisation and therefore did not consider research as part of their role. Interestingly, one study on the medical group identified its participants as negative/not involved in research and perceived the value of research as solely for the benefit of patients and the institution in which they worked.89 Nurses were negative in one study74 and found research frightening in another.77 Two studies on AHPs fell under the fear of research category.54,63 This group of participants reported minuscule63 or no value54 for research and emphasised the need for connection and relatedness. Participants in the negative/fear of research groups were of the opinion that research was a “huge undertaking” and “daunting task”.57 Overall, most of the participants in the medical group were very positive while the AHP and nursing groups were mostly in the positive category. Intrinsic value was seen as a pre-requisite for motivation, while utility value is the trigger for research to satisfy the need in clinical practice.72 The results suggest that very positive attitude towards research is based on intrinsic and attainment values and these help the HPs develop strong long-term connection with research. On the other hand, negative attitude seemed to be linked to perceived low organisational support for research. Although participants with negative attitude acknowledged that research could improve clinical practice and boost professional reputation, but feelings of poor connection to research team created disillusion or fear. These findings indicate that sense of value and connection could be paramount in determining HPs’ level of motivation to engage with research.

HPs Barriers to Undertaking Research Relates to Cost and Autonomy

Table 4 depicts the barriers identified by the participant groups. The most frequently reported barriers to undertaking research were lack of time and funding. Lack of designated time for research was reported in 32 (71%) studies3,32,52–57,59–66,70,72,74–76,78,80,82–85,87–89,91,92 while lack of funding (including incentives and failed grants) was identified as a significant barrier to conducting research in 18 (40%) studies, mostly by the medical doctors,3,32,59,66,69,73,88,89,91 followed by the AHPs53,55,60,62–64,75,80 and nurses.72,88
Table 4

Major Types of Barriers by Participant Groups

ParticipantsNumber of studies and #Major Barriers
Physicians63,32,69,73,89,91Lack of funding including incentives and failed grants
AH, Nurses, Physicians259,66
Physicians, Nurses188
AH853,55,60,62–64,75,80
Nurses172
Total18
AH862–64,75,76,85,93,94Lack of confidence, competence, skills, or experience
Nurses557,68,74,84,90
AH, Nurses179
Physicians187
Total15
AH953–55,60,64,76,78,81,82Lack of organisational support
Nurses457,71,77,83
AH, Nurses, Physicians256,66
AH, Nurses179
Physicians191
Total17
AH460,62,64,81Lack of training/resources/dedicated research team
Nurses457,74,77,84
Physicians43,16,89,91
AH, Nurses, Physicians256,66
Physicians, Nurses188
Total15
Nurses667,68,72,74,83,90Lack of knowledge
AH380,85,95
AH, Nurses179
Physician170
Total11
AH555,60,62,78,85Lack of support (including acceptance by colleagues, reward, and acknowledgement)
Physicians316,32,91
Nurses268,84
AH, Nurses, Physicians266,92
AH, Nurses179
Total13
AH254,60Lack of supervisors/mentors
Nurses267,83
AH, Nurses, Physicians256,66
Physicians289,91
Total8
AH364,76,86Lack of interest in research
Nurses357,83,84
Physicians170
Total7
AH164Unrealistic workload and tedious research process
Nurses190 1 88
AH, Nurses, Physicians23,91
Physicians
Total5
AH264,85Access to literature
Nurses167
Physicians, Nurses188
Physicians187
Total5
AH280,82Lack of research opportunities
AH, Nurses, Physicians165
Physicians187
Total4
AH, Nurses, Physicians192Felt undervalued
Total1
Physicians173Barriers specific to women
Total1
Major Types of Barriers by Participant Groups Respondents in 15 (33%) studies reported lack of confidence, competence, skills and/or research experience,57,62–64,68,74–76,79,84,85,87,90,93,94 while 17 (38%) studies reported lack of organisational support as a significant barrier to research involvement53–57,60,64,66,71,76–79,81–83,91 Lack of research competence and organisational support were mostly flagged by the AHPs,52–55,60,62–64,75,76,78,79,81,82,85,93 followed by the nurses57,68,71,74,77,83,84,90 and only few medical doctors.87,91 Lack of training/resources/dedicated research team was mentioned by participant groups in 15 studies (33%)3,16,56,57,60,62,64,66,74,77,81,84,88,89,91 Lack of knowledge was of concern in 11 studies (24%) and mostly acknowledged by the nursing group,67,68,72,74,83,90 followed by the AHPs79,80,85,95 and the medical group.70 Lack of support (including acceptance by colleagues, reward and acknowledgement) was mentioned in 13 studies (29%) and mostly indicated by AHPs,55,60,62,78,85 and the medical group.16,32,91 Eight studies (18%) reported lack of supervision/mentors,54,56,60,66,67,83,89,91 seven studies (16%) reported lack of interest in research.57,64,70,76,83,84,86 Five studies each (11%) identified unrealistic workload/tedious research process3,64,90–92 and access to literature as barriers to research, while lack of research opportunities was reported in 4 studies (9%).65,80,82,87 Participants felt undervalued in one study92 while another study found barriers specific to women73 as a deterrent to their participation in research. Overall, AHPs reported more barriers than nurses and medical doctors, particularly in relation to lack of organisational support, confidence, training, and acceptance by colleagues. Major barriers for nurses were lack of knowledge, training, and confidence; while for medical doctors, it was lack of funding. The results show that the AHPs and nurses were less able to demonstrate autonomy to engage with research in comparison to the medical doctors and they were mostly limited by lack of knowledge, training, and confidence which are important pre-requisites of research capability. This finding indicates that just as research knowledge and training can foster confidence and competence, lack of them can also serve as major and costly barriers that limit HPs’ capacity to participate in research.

Integration of the Elements of the Conceptual Frameworks

Integration of the findings based on the EVC33,34 and SDT40,41 theories indicate strong interactions between the three components – research capacity (expectancy and competence), attitude (value and connection), and barriers (cost and autonomy). Table 5 presents the relationship between the components that influence motivation to engage in research. Generally, HPs who were reported as competent (mostly studies on medical doctors or combination of all three groups32,56,60,65,66,69,70,72,73,75) had prior exposure to research training either in their undergraduate or postgraduate education. This boosted their confidence and facilitated interest and connection with research in their career paths. In addition, engagement with research was based on the type of value (utility, intrinsic and attainment) HPs attached to research. Those who were very positive demonstrated all three types of value, felt connected to other research colleagues and despite multiple barriers, they had genuine interest which fostered their capacity for on-going, long-term research. They viewed research as highly beneficial in advancing clinical knowledge, improving patient health outcomes (utility value), producing new knowledge, gaining recognition (attainment value) as well as broadening personal scope of professional career and building sustainable problem-solving systems to identify solutions to key clinical problems (intrinsic value). Some HPs (mostly AHPs and nurses) were competent and positive in their attitude, but they exhibited only utility value3,58,59,67,71,78,80–82,88,90,91 because connection with professional organisation was lacking.3,59 Interestingly, another group of HPs reported high confidence/competence levels, but they were negative and feared research.53,77,89 The reason for this attitude was the perception that research was not part of their job roles and there was no organisational support, so they did not see the connection with the research community.53 This same reason was observed for HPs who lacked confidence, had no prior exposure and had negative attitude towards research.54,63,74,76 They perceived that it had no value and involved a lot of personal cost for limited personal gain.76 Others lacked confidence but because of their predisposing personal qualities and exposure to research, which was facilitated by workplace research opportunities, they had positive attitude towards research.16,55,68,84–87
Table 5

Integration of Theoretical Framework Elements by Participant Groups

Research CapacityAttitudeParticipantsNumbersMajor BarriersSummary
CompetentVery positive – attainment, intrinsic and utility valueAH160Multiple barriersDemonstrated all three types of value, felt connected to other research colleagues and despite multiple barriers, they had genuine interest which fostered their capacity for on-going, long-term research.Viewed research as highly beneficial in advancing clinical knowledge, improving patient health outcome (utility value), producing new knowledge, gaining recognition (attainment value) as well as broadening personal scope of professional career and building sustainable problem-solving systems to identify solutions to key clinical problems (intrinsic value).
AH Physiotherapists175
AH, Nurses, Physicians356,65,66
Physicians432,69,70,73
Nurses172
Total10
CompetentPositive – utility valueAH Pharmacists478,80–82Multiple barriersCompetent and positive in their attitude, but they exhibited only utility value because connection with professional organisation was lacking
AH, Nurses158
AH, Nurses, Physicians159
Physicians23,91
Physicians, Nurses188
Nurses367,71,90
Total12
CompetentNegative – no connection to researchersAH Psychologists153Lack of organisational supportHigh confidence/competence levels, but they were negative and feared researchPerception that research was not part of their job roles and there was no organisational support, so they did not see the connection with the research community
Physicians189
Total2
CompetentFear of ResearchNurses177Lack of organisational supportLack of training/resources/dedicated research teamAs above
Total1
Total Competent25
Lacks confidence requires supportVery positive – attainment, intrinsic and utility valueAH155Lack of organisational supportLack of training/resources/dedicated research teamLacked confidence but because of their predisposing personal qualities and exposure to research, which was facilitated by workplace research opportunities, they had very positive attitude towards research
AH Physiotherapists285,86
Physicians216,87
Nurses268,84
Total7
Lacks confidence requires supportPositive – utility valueAH452,61,62,64Lack of organisational supportLack of training/resources/dedicated research teamLack of support including acceptance by colleagues, reward, and acknowledgementPerceived only the utility value
AH Physiotherapists193
AH, Nurses179
AH, Nurses, Physicians192
Nurses257,83
Total9
Lacks confidence requires supportNegative – no connection to researchersAH Pharmacists176Lack of organisational supportLack of training/resources/dedicated research teamLack of knowledgePerceived that it had no value and involved a lot of personal cost for limited personal gain
Nurses174
Total2
Lacks confidence requires supportFear of ResearchAH163Lack of organisational supportLack of training/resources/dedicated research teamPerceived that it had no value and involved a lot of personal cost for limited personal gain
AH Speech language pathologists154
Total2
Total Lacks confidence requires support20

Abbreviations: EVC, expectancy-value theory; SDT, self-determination theory; HMR, translational health and medical research; HPs, health professionals; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; EVC, expectancy-value-cost model of motivation; QATSDD, Quality Assessment Tool for Studies with Diverse Designs.

Integration of Theoretical Framework Elements by Participant Groups Abbreviations: EVC, expectancy-value theory; SDT, self-determination theory; HMR, translational health and medical research; HPs, health professionals; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; EVC, expectancy-value-cost model of motivation; QATSDD, Quality Assessment Tool for Studies with Diverse Designs. Overall, the type of value attributed to research directly influenced the relevance of barriers and affected motivation to participate in research. As shown in Figure 2, participants who were very positive displayed an attitude inclusive of attainment, intrinsic and utility values as well as connectedness to research and were able to overcome the barriers relating to cost with a display of great autonomy. HPs who were positive but lacking confidence/requiring support, mainly subscribed to utility values and were limited by the burden of barriers. HPs who reported low expectancy and competence, exhibited total lack of value for research, had no sense of belonging or attachment to researchers in their organisations, focused on the barriers/ limitations and therefore had no interest to undertake research. These findings indicate that prior exposure to research training increases expectancy and confidence, but type of value placed on research determines the strength of connection to research, and ability to disregard the myriads of challenges/barriers. High values foster on-going intrinsic commitment and long-term motivation to engage with research.
Figure 2

Process of motivation to do research.

Process of motivation to do research.

Discussion

Various strategies and assumptions have been made and tested regarding the reasons for the decline in the uptake/continuation of research by HPs and how to build research capacity among HPs.3,7,55,61,96–98 Despite these efforts, little headway has been made which necessitates taking the opportunity of examining HPs engagement in research through a different lens. This review has explored the literature with a focus on understanding HPs’ motivation to do research through the EVC33,34 and SDT40,41 theoretical constructs and an investigation of expectancy, research capacity, attitude and barriers as precursors to motivation to undertake/continue with research. The elements in these theories have been used to understand the interactions and sequence of occurrence of themes to allow for long-term motivation to do research. Based on SDT with its elements of competence, connection, and autonomy, the review findings posit that competence is enhanced if there is prior exposure to research in undergraduate/postgraduate space and this then influences graduates when they come into the workspace as it helps them to get that connection and a sense of belonging with other research active members of the organisation and that makes them feel that they are in control and they are able to keep going.41,44 However, if HPs have not had prior exposure to research and there is no perceived organisational support, they see the barriers or limitations more and that sometimes frightens them and stops them from engaging in research.44 EVC follows a similar pattern as it considers HPs’ expectancy or anticipated ability to do research which is fostered by that confidence gained from prior exposure to research in their undergraduate/postgraduate years. Taking it one step further, EVC helps to unpack the importance of value that is attached to research. The findings from this review predicate that even when research training is strong, which is important for confidence building and expectancy to do well in research, what keeps HPs motivated and helps them to overlook or disregard the myriads of barriers is the kind of value they attach to research. Factors which motivate and facilitate research by HPs are dependent on both extrinsic and intrinsic variables.49 These variables are dynamic in nature and are influenced at the individual, organisational and cultural level in a dynamic research ecosystem.98 In this review, in most cases those who were competent in their research capacity, with high expectations of success and had very positive attitude towards research demonstrated all three values attributed to doing research (intrinsic – personal enjoyment, utility – future usefulness and attainment – doing well). This group of HPs were keen to take up research despite the barriers. Those who had a positive attitude were only motivated to do research because of its utility value, although they did not necessarily see it as having personal relevance for themselves.57,61,88,90,93 Those who were unmotivated did not see any connection or relatedness to the research experience for themselves, felt it was too difficult and had very low ability beliefs which de-valued active participation in research.54,74,76,77 Ability beliefs have been predicted to positively impact expectancy and research capacity, while task difficulty negatively impacts expectancy.33 The barriers to involvement in research which were identified in this review corroborate previous literature findings and centre around lack of knowledge and skills to conduct research,94,97 lack of protected research time,99,100 lack of funding69,101,102 and lack of support from colleagues, and the organisation.54,74,76,77 Clinical workloads take precedence over time available for research17,56 and this was confirmed in a recent Australian study which reported that 55% of research active doctors spend most of their time on clinical activities.3 Studies have also shown that research careers pay lower salary than clinical careers3,13 and offer lower job security relative to clinical careers.3,101 These issues are compounded by the difficulty in getting research grants13,32 and the lower funding rates available for research.3,102 Lack of resources was also a deterrent for otherwise motivated medical professionals to engage in research.16,32 The lack of support, acceptance by colleagues, reward and acknowledgement highlighted in this review can be attributed to lack of organisational support. Studies have shown that organisational challenges such as lack of acknowledgement and recognition of medical professionals undertaking a research role by their peers and by the organisation for which they work are significant barriers to research involvement.32,103 Several studies found that medical professionals had difficulty finding a mentor for their research project.102,104,105 In this review, for HPs who were negative, the emphasis was on the concept of lack of mentorship which would have offered a sense of connection to inspire an attitude of value (intrinsic, attainment, and/ or utility), boosting confidence and providing support for research participation.106,107 Effective mentorship has been identified as vital for HPs undertaking research70,108,109 and an important contributor to research success.110 Mentoring programmes that support the health researcher with resources and expertise will optimise research training and research outcomes.60,111 Healthcare organisations in Australia,21 the US108,110,111 and the UK96 have been encouraged to include meaningful mentoring programmes into their research profile at all stages of the clinical academic training and career pathway from medical student, intern and pre-vocational doctor, vocational trainee, post-doctoral/early fellowships and definite appointment.21 Positive reinforcement by research active HPs is critical at all stages of the research training and career pipeline.3,112 An effective mentorship program is integral to establishing or building a research culture within the HPs’ organisation.56 Conducive organisational research culture enhances research capacity building, which is enhanced by developing organisational structure, processes and systems, developing appropriate links with external partners and research career pathways16,94 to enable health researchers to conduct research in a safe, supportive and nurturing environment where research is valued and resourced.96,113 An organisational culture that supports research and enables building research capacity through supporting research training, quarantined time for research and adequate funding espouses the value of research which engenders connection. Overall, barriers impact on attitude to conduct research66,70,80,82–84,87–89,100 and by implication affect response to the cost of doing research and significantly contribute to undervaluing research.49,65 The concept of value in research is of primary importance and is an area that needs to be focused on, particularly during training.61,64 Emphasis should be placed on the value elements of motivation, with focus on attainment and intrinsic motivation. Explaining that value goes beyond the utility of research in clinical practice, is a useful way of introducing and developing an appreciation of attainment value which is about professional gains and fostering intrinsic value, which is about being involved in finding solutions to clinical problems as such an approach may keep HPs engaged in research. This strategy may be worthy of consideration by accrediting professional bodies, educational institutions, funding bodies and workplace organisations in their endeavours to foster uptake and retention of research activities by HPs. Of all three HP groups, AHPs were the most lacking confidence and requiring support which may be attributed to having less research training and research experience than the other groups. Nonetheless, it is interesting to note that amongst the AHPs, the pharmacists were the most confident to undertake research. The findings of this systematic review also indicate that medical professionals, possibly due to their prior exposure to research training and research experience are in a better position than AHPs and nurses to overcome the barriers. Future studies could investigate how HPs navigate their way through barriers at different career stages – early, mid-career, late career. Future explorations could also consider whether the three HP groups (AHPs, medical doctors, nurses) follow similar or dissimilar trajectories in terms of how their research values change over their career stages. The ability to accurately inform potential researchers regarding the attractions and barriers to health research in their careers, and to implement strategies to reverse current concerning trends in the decline of health professionals engaging in research will help to ensure HPs’ leadership in HMR into the foreseeable future. Furthermore, utilisation of theoretical frameworks that inform processes and facilitate a culture of HP research would enable optimisation of health workforce research capability and high-quality care.

Strengths and Limitations

The major strength of this review is the integration of the EVC and SDT theories which offer an overarching construct that provide in-depth understanding into HPs’ motivation to do research. Additionally, the quality appraisal of the reviewed articles provides evidence for the methodological rigour of the reviewed articles and strengthens the interpretation of the findings because all the articles were assessed as medium to high-quality studies. However, interpretation of the results must be applied cautiously due to some inherent limitations of the review. Generalisation of the findings may be limited by the authors’ interpretation of the investigated research elements/domains in the reviewed papers. Other limitations of this review include the heterogeneity of the included studies and the possible exclusion of relevant studies due to the pre-set inclusion criteria.

Conclusion

Overall, this review provides good evidence for the practicality of EVC and SDT in understanding HPs’ motivation to do research. In line with SDT elements, competence is enhanced by prior exposure to research training, and this enhances autonomy and connection with other research active members of the organisation. Similarly, EVC considers HPs’ expectancy or anticipated ability to do research which is fostered by confidence gained from prior exposure to research. EVC further emphasises the impactful effect of the type of value attributed to research on the relevance HPs attach to the myriads of barriers they face and their motivation to engage in research. The findings from this systematic review indicate priority facilitators to research participation revolve around the themes of allocated time for research, funding, research training, strong organisational research culture and mentorship program. The importance of confidence building and the expectation to succeed leading to competency through research education and training is accentuated. Nonetheless, autonomy and on-going motivation to actively engage in research are mostly influenced by HPs’ attitude vis-A-vis the three value components – intrinsic attainment and utility. Therefore, emphasis on the value attributes of research may be worthy of note by accrediting professional bodies, educational institutions, funding bodies and workplace organisations as critical to the research pipeline and the motivation of HPs to undertake research.
  92 in total

1.  [Improved information in Medical School may increase recruitment of physician-scientists].

Authors:  Lars Karlsson; Marit Stockfelt; Caterina Finizia
Journal:  Lakartidningen       Date:  2014-11-18

2.  Building hospital pharmacy practice research capacity in Qatar: a cross-sectional survey of hospital pharmacists.

Authors:  Derek Stewart; Moza Al Hail; P V Abdul Rouf; Wessam El Kassem; Lesley Diack; Binny Thomas; Ahmed Awaisu
Journal:  Int J Clin Pharm       Date:  2015-03-03

3.  Engagement in Research: A Clinical Nurse Profile and Motivating Factors.

Authors:  Elizabeth Scala; Barbara J Patterson; Debra Haas Stavarski; Periwinkle Mackay
Journal:  J Nurses Prof Dev       Date:  2019 May/Jun

Review 4.  Strategies for Supporting Physician-Scientists in Faculty Roles: A Narrative Review With Key Informant Consultations.

Authors:  Lorelei Lingard; Peter Zhang; Michael Strong; Margaret Steele; John Yoo; James Lewis
Journal:  Acad Med       Date:  2017-10       Impact factor: 6.893

Review 5.  Mentoring relationships between senior physicians and junior doctors and/or medical students: A thematic review.

Authors:  Julia Huina Sng; Yiying Pei; Ying Pin Toh; Tan Ying Peh; Shirlyn Huishan Neo; Lalit Kumar Radha Krishna
Journal:  Med Teach       Date:  2017-05-31       Impact factor: 3.650

6.  Research-active clinical nurses: against all odds.

Authors:  Sandra L Siedlecki; Nancy M Albert
Journal:  J Clin Nurs       Date:  2016-12-07       Impact factor: 3.036

7.  Becoming a Physician-Scientist: A View Looking Up From Base Camp.

Authors:  Rebecca D Ganetzky
Journal:  Acad Med       Date:  2017-10       Impact factor: 6.893

8.  Comparison of research experience and support needs of rural versus regional allied health professionals.

Authors:  Tilley Pain; David Plummer; Alison Pighills; Desley Harvey
Journal:  Aust J Rural Health       Date:  2015-09-18       Impact factor: 1.662

9.  A Matrix Mentoring Model That Effectively Supports Clinical and Translational Scientists and Increases Inclusion in Biomedical Research: Lessons From the University of Utah.

Authors:  Carrie L Byington; Heather Keenan; John D Phillips; Rebecca Childs; Erin Wachs; Mary Anne Berzins; Kim Clark; Maria K Torres; Jan Abramson; Vivian Lee; Edward B Clark
Journal:  Acad Med       Date:  2016-04       Impact factor: 6.893

10.  Attitude, barriers and facilitators to practice-based research: cross-sectional survey of hospital pharmacists in Saudi Arabia.

Authors:  Khizra Sultana; Majed Al Jeraisy; Maha Al Ammari; Rahul Patel; Syed Tabish R Zaidi
Journal:  J Pharm Policy Pract       Date:  2016-02-11
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1.  Impact of Research Training on Newly Graduated Health Professionals' Motivation to Undertake Research.

Authors:  Louisa M D'Arrietta; Venkat N Vangaveti; Melissa J Crowe; Bunmi S Malau-Aduli
Journal:  J Multidiscip Healthc       Date:  2022-10-01
  1 in total

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