| Literature DB >> 35115782 |
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.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
Figure 1Flow 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.
Quality Assessment of the Included Studies
| QATSDD Criteria | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | Total Score | % of Total Score | Grade |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Akerjordet, Lode, and Severinsson 2012 | 0 | 3 | 2 | 1 | 3 | 1 | 0 | 3 | 3 | 2 | N/A | 3 | 0 | N/A | 0 | 3 | 24/42 | 57 | Good |
| Albert et al 2016 | 0 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 3 | N/A | 3 | 1 | N/A | 0 | 3 | 33/42 | 79 | Good |
| Alison, Zafiropoulos, and Heard 2017 | 0 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | N/A | 3 | 3 | N/A | 0 | 3 | 36/42 | 86 | Excellent |
| Bench, Dowie-Baker, and Fish 2019 | 0 | 3 | 3 | 1 | 2 | 3 | 0 | 3 | 1 | 3 | 3 | 3 | 0 | 3 | 2 | 2 | 32/48 | 67 | Good |
| Berthelsen and Holge-Hazelton 2015 | 0 | 3 | 3 | 2 | 2 | 3 | 2 | 3 | 3 | 3 | N/A | 2 | 1 | N/A | 0 | 2 | 29/42 | 69 | Good |
| Borkowski, McKinstry, and Cotchett 2017 | 0 | 3 | 2 | 1 | 3 | 2 | 3 | 2 | 1 | 3 | N/A | 3 | 2 | N/A | 0 | 2 | 27/42 | 64 | Good |
| Chan et al 2011 | 0 | 3 | 2 | 2 | 3 | 2 | 3 | 3 | 3 | 3 | N/A | 2 | 0 | N/A | 0 | 0 | 26/42 | 62 | Good |
| Choo, Muninathan, Pung, and Ramanathan 2017 | 0 | 3 | 3 | 3 | 3 | 2 | 3 | 3 | 1 | 3 | N/A | 3 | 1 | N/A | 2 | 2 | 32/42 | 76 | Good |
| Cianciolo et al 2020 | 3 | 3 | 3 | 1 | 1 | 3 | 2 | 2 | N/A | N/A | 3 | 3 | 2 | 3 | 2 | 3 | 34/42 | 81 | Excellent |
| Connolly, Allum, Shaw, Pattison, and Dark 2018 | 3 | 3 | 3 | 2 | 3 | 3 | 3 | 2 | 1 | 3 | 3 | 2 | 3 | 3 | 2 | 3 | 42/48 | 86 | Excellent |
| Conradie, Duys, Forget, and Biccard 2018 | 0 | 3 | 3 | 3 | 2 | 3 | 1 | 3 | 0 | 3 | 2 | 3 | 1 | 3 | 0 | 3 | 33/48 | 69 | Good |
| Dannapfel, Peolsson, and Nilsen 2013 | 0 | 3 | 3 | 2 | 3 | 3 | 1 | 2 | N/A | N/A | 1 | 3 | 3 | 3 | 1 | 0 | 28/42 | 67 | Good |
| Dannapfel, Peolsson, Stahl, Oberg, and Nilsen 2014 | 3 | 3 | 3 | 2 | 3 | 3 | 1 | 2 | N/A | N/A | 2 | 3 | 3 | 3 | 1 | 3 | 35/42 | 83 | Excellent |
| Elphinston and Pager 2015 | 0 | 3 | 3 | 2 | 1 | 3 | 1 | 2 | 3 | 3 | N/A | 3 | 0 | N/A | 0 | 3 | 27/42 | 64 | Good |
| Finch, Cornwell, Nalder, and Ward 2015 | 0 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | N/A | N/A | 3 | 3 | 1 | 3 | 0 | 3 | 32/42 | 76 | Good |
| Harvey, Plummer, Nielsen, Adams, and Pain 2016 | 0 | 3 | 3 | 3 | 3 | 2 | 0 | 2 | N/A | N/A | 1 | 3 | 2 | 3 | 0 | 3 | 28/42 | 67 | Good |
| Hiscock et al 2014 | 0 | 3 | 2 | 2 | 3 | 3 | 0 | 1 | 0 | 3 | N/A | 3 | 1 | N/A | 2 | 3 | 26/42 | 62 | Good |
| Ito-Ihara et al 2013 | 0 | 3 | 3 | 2 | 3 | 2 | 2 | 3 | 0 | 3 | 2 | 3 | 1 | 3 | 0 | 3 | 33/48 | 69 | Good |
| Janssen, Hale, Mirfin-Veitch, and Harland 2016 | 0 | 3 | 3 | 1 | 3 | 3 | 3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 | 0 | 3 | 39/48 | 81 | Excellent |
| Jones, Griffith, Ubel, Stewart, and Jagsi 2016 | 0 | 3 | 2 | 2 | 3 | 3 | 1 | 2 | 0 | 3 | 3 | 3 | 2 | 0 | 0 | 3 | 30/48 | 63 | Good |
| Lowrie et al 2015 | 0 | 3 | 2 | 3 | 3 | 3 | 1 | 3 | N/A | N/A | 3 | 3 | 3 | 3 | 2 | 3 | 35/42 | 83 | Excellent |
| Luckson, Duncan, Rajai, and Haigh 2018 | 0 | 3 | 3 | 1 | 2 | 2 | 3 | 3 | 1 | 3 | 3 | 3 | 1 | 0 | 3 | 3 | 34/48 | 71 | Good |
| Mahmoud et al 2011 | 0 | 3 | 3 | 2 | 2 | 2 | 0 | 2 | 0 | 3 | N/A | 3 | 1 | N/A | 2 | 2 | 25/42 | 60 | Good |
| Mansi, Karam, and Chaaban 2019 | 0 | 3 | 3 | 2 | 2 | 2 | 0 | 2 | 0 | 2 | N/A | 3 | 0 | N/A | 0 | 3 | 22/42 | 52 | Good |
| Marshall et al 2016 | 0 | 3 | 3 | 3 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 43/48 | 90 | Excellent |
| McDonald 2020 | 0 | 3 | 3 | 2 | 2 | 3 | 0 | 3 | 1 | 3 | N/A | 3 | 0 | N/A | 2 | 3 | 28/42 | 67 | Good |
| McMaster, Jammali-Blasi, Andersson-Noorgard, Cooper, and McInnes 2013 | 0 | 3 | 3 | 2 | 3 | 2 | 1 | 3 | 1 | 3 | N/A | 3 | 0 | N/A | 1 | 1 | 26/42 | 62 | Good |
| McNab, Berry, and Skapetis 2019 | 0 | 3 | 3 | 3 | 2 | 2 | 0 | 3 | 1 | 2 | N/A | 3 | 3 | N/A | 2 | 3 | 30/42 | 71 | Good |
| Mills et al 2019 | 0 | 3 | 3 | 3 | 3 | 3 | 0 | 2 | 0 | 3 | N/A | 3 | 0 | N/A | 0 | 3 | 26/42 | 62 | Good |
| Oliver-Baxter, Brown, and McIntyre 2017 | 0 | 3 | 3 | 2 | 3 | 3 | 0 | 3 | 1 | 3 | N/A | 2 | 0 | N/A | 0 | 3 | 26/42 | 62 | Good |
| Pager, Holden, and Golenko 2012 | 0 | 3 | 3 | 2 | 2 | 3 | 2 | 2 | 1 | 2 | 2 | 1 | 0 | 1 | 0 | 3 | 27/48 | 56 | Good |
| Paget, Lilischkis, Morrow, and Caldwell 2014 | 0 | 3 | 2 | 3 | 1 | 3 | 2 | 3 | 0 | 3 | N/A | 2 | 0 | N/A | 3 | 0 | 25/42 | 60 | Good |
| Pain, Petersen, and Fernando 2018 | 0 | 3 | 3 | 2 | 2 | 2 | 0 | 3 | 0 | 3 | N/A | 2 | 1 | N/A | 0 | 2 | 23/42 | 55 | Good |
| Sarwar et al 2018 | 0 | 3 | 3 | 3 | 3 | 2 | 0 | 3 | 3 | 3 | N/A | 3 | 0 | N/A | 2 | 2 | 30/42 | 71 | Good |
| Scala, Patterson, Stavarski, and Mackay 2019 | 2 | 3 | 3 | 3 | 3 | 3 | 0 | 2 | N/A | N/A | 3 | 3 | 0 | 3 | 0 | 2 | 30/42 | 71 | Good |
| Siedlecki and Albert 2016 | 3 | 3 | 3 | 2 | 2 | 2 | 0 | 3 | N/A | N/A | 2 | 2 | 1 | 3 | 0 | 2 | 28/42 | 67 | Good |
| Silberman et al 2012 | 0 | 3 | 3 | 2 | 3 | 2 | 0 | 3 | 0 | 3 | N/A | 3 | 0 | N/A | 0 | 3 | 25/42 | 60 | Good |
| Snelgrove and James 2011 | 0 | 3 | 3 | 1 | 1 | 2 | 0 | 3 | 0 | 3 | 3 | 2 | 1 | 3 | 0 | 1 | 26/42 | 62 | Good |
| Stewart et al 2015 | 0 | 3 | 3 | 2 | 2 | 3 | 1 | 2 | 3 | 3 | N/A | 3 | 3 | N/A | 2 | 2 | 32/42 | 76 | Good |
| Stewart et al 2019 | 3 | 3 | 3 | 1 | 3 | 3 | 2 | 2 | 3 | 3 | N/A | 3 | 2 | N/A | 0 | 3 | 34/42 | 81 | Excellent |
| Sultana, Al Jeraisy, Al Ammari, Patel, and Zaidi 2016 | 1 | 3 | 3 | 2 | 3 | 3 | 1 | 3 | 3 | 3 | N/A | 3 | 1 | N/A | 2 | 3 | 34/42 | 81 | Excellent |
| Torres et al 2017 | 0 | 3 | 3 | 2 | 2 | 3 | 1 | 3 | 3 | 3 | N/A | 3 | 1 | N/A | 2 | 2 | 31/42 | 74 | Good |
| van Hoving and Brysiewicz 2017 | 0 | 3 | 3 | 1 | 3 | 3 | 1 | 3 | 0 | 3 | N/A | 3 | 1 | N/A | 0 | 3 | 27/42 | 64 | Good |
| Wenke, Mickan, and Bisset 2017 | 0 | 3 | 3 | 1 | 2 | 3 | 3 | 3 | 0 | 3 | N/A | 3 | 2 | N/A | 0 | 3 | 29/42 | 69 | Good |
| Wenke, Noble, Weir, and Mickan 2020 | 3 | 3 | 3 | 3 | 2 | 3 | 2 | 3 | N/A | N/A | 3 | 3 | 3 | 3 | 0 | 2 | 36/42 | 86 | Excellent |
| White 2013 | 1 | 3 | 2 | 1 | 1 | 0 | 1 | 2 | 1 | 2 | N/A | 1 | 1 | N/A | 0 | 0 | 16/48 | 33 | Low |
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 and Participant Demographics for Reviewed Articles
| Author and Year | Title | Country | Setting | Study Design | Type of Participants | Participants (No., Gender, Mean Age [Yrs.]) Response Rate |
|---|---|---|---|---|---|---|
| Akerjordet, Lode, and Severinsson 2012 | Clinical nurses’ attitudes towards research, management and organisational resources in a university hospital: part 1 | Norway | Not stated | Quantitative | Nurses | N = 364; Females (95%, n =347); Age: (41.2 ± 11.52) RR 61% |
| Albert et al 2016 | Clinical nurse specialist roles in conducting research: Changes over 3 years | USA | Urban | Quantitative | Nurses | N = 2052; Females (95.9%, n =1782); Age: (50.3 ± 9.3) RR 25% |
| Alison, Zafiropoulos, and Heard 2017 | Key factors influencing allied health research capacity in a large Australian metropolitan health district | Australia | Urban | Quantitative | Allied Health | N = 278; Females**; Age: <25->60yrs: RR 54% |
| Bench, Dowie-Baker, and Fish 2019 | Orthopaedic nurses’ engagement in clinical research; an exploration of ideas, facilitators, and challenges | UK | Not stated | Mixed methods | Nurses | N = 75; Females (75%, n =56); Age: (>40 = 56%) RR 20% |
| Berthelsen and Holge-Hazelton 2015 | Orthopaedic nurses’ attitudes towards clinical nursing research - A cross-sectional survey | Denmark | Regional | Quantitative | Nurses | N = 43; Females (97.8%, n =42); Age: (>40 =62.7%) RR 49.4% |
| Borkowski, McKinstry, and Cotchett 2017 | Research culture in a regional allied health setting | Australia | Regional | Quantitative | Allied Health | N = 136; Females**; Age**: RR 46% |
| Chan et al 2011 | Barriers and perceived needs for understanding and using research among emergency nurses | USA | Not stated | Quantitative | Nurses | N = 978; Females**; Age**: RR 3.6% |
| Choo, Muninathan, Pung, and Ramanathan 2017 | Attitudes, barriers, and facilitators to the conduct of research in government hospitals: a cross-sectional study among specialists in government hospitals, northern states of Malaysia | Malaysia | Not stated | Quantitative | Physicians | N = 467; Females (49.9%, n =233); Age: 30–44yrs n=340 (72.8%) RR 63.7% |
| Cianciolo et al 2020 | Physician-scientist or basic scientist? Exploring the nature of clinicians’ research engagement | USA and Pakistan | Urban and rural | Qualitative | Physicians | N = 36; Females (39%, n =14); Age: (34.5+9.5) |
| Connolly, Allum, Shaw, Pattison, and Dark 2018 | Characterising the research profile of the critical care physiotherapy workforce and engagement with critical care research: a UK national survey | UK | Not stated | Quantitative | Physiotherapists | N = 268; Females** Age**RR** |
| Conradie, Duys, Forget, and Biccard 2018 | Barriers to clinical research in Africa: a quantitative and qualitative survey of clinical researchers in 27 African countries | Africa | Not stated | Mixed methods | Physicians | N = 134; Females**; Age**: RR=32% |
| Dannapfel, Peolsson, and Nilsen 2013 | What supports physiotherapists’ use of research in clinical practice? A qualitative study in Sweden | Sweden | Urban and rural | Qualitative | Physiotherapists | N = 45; Females (75%, n =33); Age: (41+11) RR** |
| Dannapfel, Peolsson, Stahl, Oberg, and Nilsen 2014 | Applying self-determination theory for improved understanding of physiotherapists’ rationale for using research in clinical practice: a qualitative study in Sweden | Sweden | Urban and rural | Qualitative | Physiotherapists | N = 45; Females (75%, n =33); Age: (41.11+5) RR= RR** |
| Elphinston and Pager 2015 | Untapped potential: Psychologists leading research in clinical practice | Australia | Urban | Quantitative | Psychologists | N = 60; Females (77%, n =46); Age**: RR mean 26.1 across 3 time points |
| Finch, Cornwell, Nalder, and Ward 2015 | Uncovering motivators and stumbling blocks: Exploring the clinical research experiences of speech-language pathologists | Australia | Urban and rural | Qualitative | Speech language pathologists | N = 21; Females (100%, n =21); Age**: RR** |
| Harvey, Plummer, Nielsen, Adams, and Pain 2016 | Becoming a clinician researcher in allied health | Australia | Regional | Qualitative | Allied Health | N = 15; Females (87%, n =13); Age**: RR** |
| Hiscock et al 2014 | Clinical research potential in Victorian hospitals: the Victorian clinician researcher needs analysis survey | Australia | Urban and rural and remote | Quantitative | Allied Health Nurses Physicians | N = 1027; Females (67%, n =688); Age**: RR** |
| Ito-Ihara et al 2013 | An international survey of physicians regarding clinical trials: a comparison between Kyoto University Hospital (KUPH) and Seoul National University Hospital (SNUH) | Japan and South Korea | Urban | Quantitative | Physicians | KUPH N = 301; Females (17%, n = 50); Age ≤29 -≥50: RR 64% |
| Janssen, Hale, Mirfin-Veitch, and Harland 2016 | Perceptions of physiotherapists towards research: a mixed methods study | New Zealand | Not stated | Mixed methods | Physiotherapists | N = 25; Females (84%, n =21); Age: (38.11); RR** |
| Jones, Griffith, Ubel, Stewart, and Jagsi 2016 | A mixed-methods investigation of the motivations, goals, and aspirations of male and female academic medical faculty | USA | Not stated | Mixed methods | Physicians | N = 1275; Females (45.6%, n =582); Age** RR=74.6% |
| Lowrie et al 2015 | Research is ‘a step into the unknown’: an exploration of pharmacists’ perceptions of factors impacting on research participation in the NHS | UK | Urban and rural | Qualitative | Pharmacists | N = 54; Females (68%, n =37); Age** RR** |
| Luckson, Duncan, Rajai, and Haigh 2018 | Exploring the research culture of nurses and allied health professionals (AHPs) in a research-focused and a non-research-focused healthcare organisation in the UK | UK | Urban | Mixed methods | Allied Health Nurses | N = 224: Females (87%, n =194); Age** RR=24% |
| Mahmoud et al 2011 | Survey of medical specialists on their attitudes to and resources for health research in Nigeria | Nigeria | Not stated | Quantitative | Physicians | N = 51; Females (22%, n =11); Age**: (45.3+7.23) RR=63.3% |
| Mansi, Karam, and Chaaban 2019 | Attitudes of residents and program directors towards research in otolaryngology residency | USA | Not stated | Quantitative | Physicians | N = 209 Residents n =178 Program directors n= 31 Females**; Age**: RR** |
| Marshall et al 2016 | Survey of research activity among multidisciplinary health professionals | Australia | Urban | Mixed Methods | Allied Health Nurses Physicians | N = 151; Females (56.2%, n = 82); Age** RR=2.5% |
| McDonald 2020 | Motivators and stressors for Canadian research coordinators in critical care: The motivate survey | Canada | Not stated | Quantitative | Allied Health Nurses Physicians | N = 66; Females**: Age**: RR=78% |
| McMaster, Jammali-Blasi, Andersson-Noorgard, Cooper, and McInnes 2013 | Research involvement, support needs, and factors affecting research participation: A survey of Mental Health Consultation Liaison Nurses | Australia | Not stated | Quantitative | Nurses | N = 31; Females (44%, n =14); Age: (50–59 yrs. =50%) RR=94% |
| McNab, Berry, and Skapetis 2019 | The potential of a lecture series in changing intent and experience among health professionals to conduct research in a large hospital: a retrospective pre-post design | Australia | Urban | Quantitative | Allied Health Nurses | N = 49; Females (89.8%, n =44); Age: (50–65years =47.9%) RR=38.9% |
| Mills et al 2019 | Attractions and barriers to Australian physician-researcher careers: Physician-researcher influences | Australia | Not stated | Quantitative | Physicians | N = 427; Females (44%, n =31); Age: (38+13): RR** |
| Oliver-Baxter, Brown, and McIntyre 2017 | Surviving or thriving in the primary health care research workforce: the Australian experience | Australia | Urban and rural and remote | Quantitative | Allied Health, Nurses, Physicians | N = 37; Females (75.7%, n =28); Age: (47.9+10.2): RR** |
| Pager, Holden, and Golenko 2012 | Motivators, enablers, and barriers to building allied health research capacity | Australia | Not stated | Quantitative | Allied Health | N = 85; Females**; Age**: RR** |
| Paget, Lilischkis, Morrow, and Caldwell 2014 | Embedding research in clinical practice: differences in attitudes to research participation among clinicians in a tertiary teaching hospital | Australia | Urban | Quantitative | Allied Health, Nurses, Physicians | N = 208; Females (76%, n =158); Age: <30 years =20%, 30–50 years =66%, >50 years =14%: RR=17% |
| Pain, Petersen, and Fernando 2018 | Building allied health research capacity at a regional Australian hospital: A follow-up study | Australia | Regional | Quantitative | Allied Health | 2011: N = 248; Females (76%, n =188); Age**: RR43% |
| Sarwar et al 2018 | Attitude, perception, willingness, motivation and barriers to practice-based research: A cross-sectional survey of hospital pharmacists in Lahore, Punjab, Pakistan | Pakistan | Urban | Quantitative | Pharmacists | N = 130; Females (42.3%, n =55); Age: <30yrs (82.3%) RR=92% |
| Scala, Patterson, Stavarski, and Mackay 2019 | Engagement in research: A clinical nurse profile and motivating factors | USA | Not stated. | Qualitative | Nurses | N = 34; Females (91.2%, n =31); Age**: RR** |
| Siedlecki and Albert 2016 | Research-active clinical nurses: against all odds | USA | Not stated | Qualitative | Nurses | N = 26; Females**; Age: (50+7.7): RR** |
| Silberman et al 2012 | Recruiting researchers in psychiatry: The influence of residency vs early motivation | USA | Urban | Quantitative | Physicians | N = 127; Females (51.6%, n =65.5); Age**: RR=67% |
| Snelgrove and James 2011 | Graduate nurses’ and midwives’ perceptions of research | UK | Not stated | Qualitative | Nurses | N = 58; Females** Age**: RR=29% |
| Stewart et al 2015 | Building hospital pharmacy practice research capacity in Qatar: a cross-sectional survey of hospital pharmacists | Qatar | Urban | Quantitative | Pharmacists | N = 213; Females (47.9%, n =102); Age**: RR= 53.1% |
| Stewart et al 2019 | A theoretically informed survey of the views and experiences of practicing pharmacists on research conduct, dissemination and translation | UK | Rural and remote | Quantitative | Pharmacists | N = 136; Females (76.5%, n =104); Age: (>45 30.9%) RR= 19.4% |
| Sultana, Al Jeraisy, Al Ammari, Patel, and Zaidi 2016 | Attitude, barriers and facilitators to practice-based research: cross-sectional survey of hospital pharmacists in Saudi Arabia | Saudi Arabia | Urban | Quantitative | Pharmacists | N = 182; Females (51.1%, n =93); Age**: RR=84%. |
| Torres et al 2017 | Assessment of research capacity among nursing faculty in a clinical intensive university in the Philippines | Philippines | Urban | Quantitative | Nurses | N = 66; Females (77%, n =51); Age**: RR 80.49% |
| van Hoving and Brysiewicz 2017 | African emergency care providers’ attitudes and practices towards research | Africa | Not stated | Quantitative | Physicians, Nurses | N = 188; Females (27.4%, n =46); Age: (36.3+9.1) RR= 34.8%, |
| Wenke, Mickan, and Bisset 2017 | A 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? | Australia | Regional | Quantitative | Allied Health | N = 95; Females**; Age**: RR** |
| Wenke, Noble, Weir, and Mickan 2020 | What influences allied health clinician participation in research in the public hospital setting: a qualitative theory-informed approach | Australia | Regional | Qualitative | Allied Health | N = 21; Females**; Age**: RR 2.9% |
Note: **Values/categories not specified.
Theoretical Framework Summary of Study Outcomes
| Author and Year/Reference # | Type of Participants | Theoretical Framework | Research Capacity | Attitude | Barriers |
|---|---|---|---|---|---|
| Akerjordet, Lode, and Severinsson 2012 | Nurses | NIL | Lack of designated time for research | ||
| Albert et al 2016 | Nurses | NIL | Lack of knowledge | ||
| Alison, Zafiropoulos, and Heard 2017 | Allied Health | NIL | Lack of designated time for research | ||
| Bench, Dowie-Baker, and Fish 2019 | Nurses | NIL | Lack of designated time for research | ||
| Berthelsen and Holge-Hazelton 2015 | Nurses | NIL | Lack of designated time for research | ||
| Borkowski, McKinstry, and Cotchett 2017 | Allied Health | NIL | Lack of designated time for research | ||
| Chan et al 2011 | Nurses | NIL | Lack of confidence, competence, skills, or experience | ||
| Choo, Muninathan, Pung, and Ramanathan 2017 | Physicians | NIL | Lack of designated time for research | ||
| Cianciolo et al 2020 | Physicians | SCCT and Professional Identity Formation | Lack of funding including incentives and failed grants | ||
| Connolly, Allum, Shaw, Pattison, and Dark 2018 | Physiotherapists | COM-B model. capability, opportunity, motivation, and behaviour | Lack of designated time for research | ||
| Conradie, Duys, Forget, and Biccard 2018 | Physicians | NIL | Lack of training/resources/dedicated research team | ||
| Dannapfel, Peolsson, and Nilsen 2013 | Physiotherapists | NIL | Lack of designated time for research | ||
| Dannapfel, Peolsson, Stahl, Oberg, and Nilsen 2014 | Physiotherapists | Self-determination Theory SDT | Lack of interest in research | ||
| Elphinston and Pager 2015 | Psychologists | NIL | Lack of designated time for research | ||
| Finch, Cornwell, Nalder, and Ward 2015 | Speech language pathologists | NIL | Lack of designated time for research | ||
| Harvey, Plummer, Nielsen, Adams, and Pain 2016 | Allied Health | NIL | Lack of designated time for research | ||
| Hiscock et al 2014 | Allied Health, Nurses, Physicians | NIL | Lack of designated time for research | ||
| Ito-Ihara et al 2013 | Physicians | NIL | Lack of designated time for research | ||
| Janssen, Hale, Mirfin-Veitch, and Harland 2016 | Physiotherapists | NIL | Lack of confidence, competence, skills, or experience | ||
| Jones, Griffith, Ubel, Stewart, and Jagsi 2016 | Physicians | NIL | Lack of designated time for research | ||
| Lowrie et al 2015 | Pharmacists | NIL | Lack of designated time for research | ||
| Luckson, Duncan, Rajai, and Haigh 2018 | Allied Health, Nurses | NIL | Lack of confidence, competence, skills, or experience | ||
| Mahmoud et al 2011 | Physicians | NIL | Lack of designated time for research | ||
| Mansi, Karam, and Chaaban 2019 | Physicians | NIL | Lack of designated time for research | ||
| Marshall et al 2016 | Allied Health, Nurses, Physicians | NIL | Lack of designated time for research | ||
| McDonald 2020 | Allied Health, Nurses, Physicians | NIL | Lack of designated time for research | ||
| McMaster, Jammali-Blasi, Andersson-Noorgard, Cooper, and McInnes 2013 | Nurses | NIL | Lack of designated time for research | ||
| McNab, Berry, and Skapetis 2019 | Allied Health, Nurses | NIL | NIL | ||
| Mills et al 2019 | Physicians | NIL | Lack of designated time for research | ||
| Oliver-Baxter, Brown, and McIntyre 2017 | Allied Health, Nurses, Physicians | NIL | Lack of designated time for research | ||
| Pager, Holden, and Golenko 2012 | Allied Health | NIL | Lack of designated time for research | ||
| Paget, Lilischkis, Morrow, and Caldwell 2014 | Allied Health, Nurses, Physicians | NIL | Lack of designated time for research | ||
| Pain, Petersen, and Fernando 2018 | Allied Health | NIL | Lack of designated time for research | ||
| Sarwar et al 2018 | Pharmacists | NIL | Lack of designated time for research | ||
| Scala, Patterson, Stavarski, and Mackay 2019 | Nurses | Vroom’s expectancy theory framework: | Lack of organisational support | ||
| Siedlecki and Albert 2016 | Nurses | Research-Active Nurse Model | Lack of designated time for research | ||
| Silberman et al 2012 | Physicians | NIL | Lack of funding including incentives and failed grants | ||
| Snelgrove and James 2011 | Nurses | NIL | Lack of organisational support | ||
| Stewart et al 2015 | Pharmacists | NIL | Lack of organisational support | ||
| Stewart et al 2019 | Pharmacists | Theoretical Domains Framework TDF | Lack of designated time for research | ||
| Sultana, Al Jeraisy, Al Ammari, Patel, and Zaidi 2016 | Pharmacists | Social cognitive theory | Lack of designated time for research | ||
| Torres et al 2017 | Nurses | NIL | Lack of confidence, competence, skills, or experience | ||
| van Hoving and Brysiewicz 2017 | Physicians, Nurses | NIL | Lack of designated time for research | ||
| Wenke, Mickan, and Bisset 2017 | Allied Health | NIL | Lack of designated time for research | ||
| Wenke, Noble, Weir, and Mickan 2020 | Allied Health | Theoretical Domains Framework YES | Lack of designated time for research |
Major Types of Barriers by Participant Groups
| Participants | Number of studies and # | Major Barriers |
|---|---|---|
| Physicians | 6 | Lack of funding including incentives and failed grants |
| AH, Nurses, Physicians | 2 | |
| Physicians, Nurses | 1 | |
| AH | 8 | |
| Nurses | 1 | |
| Total | 18 | |
| AH | 8 | Lack of confidence, competence, skills, or experience |
| Nurses | 5 | |
| AH, Nurses | 1 | |
| Physicians | 1 | |
| Total | 15 | |
| AH | 9 | Lack of organisational support |
| Nurses | 4 | |
| AH, Nurses, Physicians | 2 | |
| AH, Nurses | 1 | |
| Physicians | 1 | |
| Total | 17 | |
| AH | 4 | Lack of training/resources/dedicated research team |
| Nurses | 4 | |
| Physicians | 4 | |
| AH, Nurses, Physicians | 2 | |
| Physicians, Nurses | 1 | |
| Total | 15 | |
| Nurses | 6 | Lack of knowledge |
| AH | 3 | |
| AH, Nurses | 1 | |
| Physician | 1 | |
| Total | 11 | |
| AH | 5 | Lack of support (including acceptance by colleagues, reward, and acknowledgement) |
| Physicians | 3 | |
| Nurses | 2 | |
| AH, Nurses, Physicians | 2 | |
| AH, Nurses | 1 | |
| Total | 13 | |
| AH | 2 | Lack of supervisors/mentors |
| Nurses | 2 | |
| AH, Nurses, Physicians | 2 | |
| Physicians | 2 | |
| Total | 8 | |
| AH | 3 | Lack of interest in research |
| Nurses | 3 | |
| Physicians | 1 | |
| Total | 7 | |
| AH | 1 | Unrealistic workload and tedious research process |
| Nurses | 1 | |
| AH, Nurses, Physicians | 2 | |
| Physicians | ||
| Total | 5 | |
| AH | 2 | Access to literature |
| Nurses | 1 | |
| Physicians, Nurses | 1 | |
| Physicians | 1 | |
| Total | 5 | |
| AH | 2 | Lack of research opportunities |
| AH, Nurses, Physicians | 1 | |
| Physicians | 1 | |
| Total | 4 | |
| AH, Nurses, Physicians | 1 | Felt undervalued |
| Total | 1 | |
| Physicians | 1 | Barriers specific to women |
| Total | 1 |
Integration of Theoretical Framework Elements by Participant Groups
| Research Capacity | Attitude | Participants | Numbers | Major Barriers | Summary |
|---|---|---|---|---|---|
| AH | 1 | Multiple barriers | 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. | ||
| AH Physiotherapists | 1 | ||||
| AH, Nurses, Physicians | 3 | ||||
| Physicians | 4 | ||||
| Nurses | 1 | ||||
| Total | 10 | ||||
| AH Pharmacists | 4 | Multiple barriers | Competent and positive in their attitude, but they exhibited only utility value because connection with professional organisation was lacking | ||
| AH, Nurses | 1 | ||||
| AH, Nurses, Physicians | 1 | ||||
| Physicians | 2 | ||||
| Physicians, Nurses | 1 | ||||
| Nurses | 3 | ||||
| Total | 12 | ||||
| AH Psychologists | 1 | Lack of organisational support | High confidence/competence levels, but they were negative and feared research | ||
| Physicians | 1 | ||||
| Total | 2 | ||||
| Nurses | 1 | Lack of organisational support | As above | ||
| Total | 1 | ||||
| Total Competent | 25 | ||||
| AH | 1 | Lack of organisational support | Lacked 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 Physiotherapists | 2 | ||||
| Physicians | 2 | ||||
| Nurses | 2 | ||||
| Total | 7 | ||||
| AH | 4 | Lack of organisational support | Perceived only the utility value | ||
| AH Physiotherapists | 1 | ||||
| AH, Nurses | 1 | ||||
| AH, Nurses, Physicians | 1 | ||||
| Nurses | 2 | ||||
| Total | 9 | ||||
| AH Pharmacists | 1 | Lack of organisational support | Perceived that it had no value and involved a lot of personal cost for limited personal gain | ||
| Nurses | 1 | ||||
| Total | 2 | ||||
| AH | 1 | Lack of organisational support | Perceived that it had no value and involved a lot of personal cost for limited personal gain | ||
| AH Speech language pathologists | 1 | ||||
| Total | 2 | ||||
| Total Lacks confidence requires support | 20 |
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.
Figure 2Process of motivation to do research.