Literature DB >> 26691766

Tools and instruments for needs assessment, monitoring and evaluation of health research capacity development activities at the individual and organizational level: a systematic review.

Johanna Huber1, Sushil Nepal2, Daniel Bauer3, Insa Wessels4, Martin R Fischer5, Claudia Kiessling6,7.   

Abstract

BACKGROUND: In the past decades, various frameworks, methods, indicators, and tools have been developed to assess the needs as well as to monitor and evaluate (needs assessment, monitoring and evaluation; "NaME") health research capacity development (HRCD) activities. This systematic review gives an overview on NaME activities at the individual and organizational level in the past 10 years with a specific focus on methods, tools and instruments. Insight from this review might support researchers and stakeholders in systemizing future efforts in the HRCD field.
METHODS: A systematic literature search was conducted in PubMed and Google Scholar. Additionally, the personal bibliographies of the authors were scanned. Two researchers independently reviewed the identified abstracts for inclusion according to previously defined eligibility criteria. The included articles were analysed with a focus on both different HRCD activities as well as NaME efforts.
RESULTS: Initially, the search revealed 700 records in PubMed, two additional records in Google Scholar, and 10 abstracts from the personal bibliographies of the authors. Finally, 42 studies were included and analysed in depth. Findings show that the NaME efforts in the field of HRCD are as complex and manifold as the concept of HRCD itself. NaME is predominately focused on outcome evaluation and mainly refers to the individual and team levels.
CONCLUSION: A substantial need for a coherent and transparent taxonomy of HRCD activities to maximize the benefits of future studies in the field was identified. A coherent overview of the tools used to monitor and evaluate HRCD activities is provided to inform further research in the field.

Entities:  

Mesh:

Year:  2015        PMID: 26691766      PMCID: PMC4687225          DOI: 10.1186/s12961-015-0070-3

Source DB:  PubMed          Journal:  Health Res Policy Syst        ISSN: 1478-4505


Background

The capacity to cope with new and ill-structured situations is a crucial ability in today’s world. Developing this ability, by shaping empowered citizens, challenges individuals as well as organisations and societies. This process of empowerment is usually referred to as capacity development (CD) [1]. While this term has been commonly used for years in the field of foreign aid, other societal and political domains (e.g. social work, education and health systems) are increasingly adopting the concept of CD when developing new or existing competencies, structures, and strategies for building resilient individuals and organizations [2]. Also in the field of health research, an increasing number of activities to strengthen health research competencies and to support organizations can be observed – as demanded by the three United Nations Millennium Development Goals addressing health related issues [3-6]. Several frameworks are already in use that support a structured approach to health research capacity development (HRCD) and address competencies that are specific to health research [7-9]. These frameworks usually incorporate the individual or team, organization or institution, and society levels [8, 10, 11]. One conclusion that can be drawn from the available evidence is that, in such a structured approach to HRCD efforts, meaningful data collection is crucial. First, data collection incorporates the HRCD needs assessment and second, the monitoring and evaluation (NaME) of activities and programs once implemented. Therefore, HRCD activities should address the needs as assessed. Monitoring and evaluation of these activities should reflect the desired outcomes as defined beforehand [12-15]. Bates et al. [16] indicate how data collection tools and instruments are usually developed for a certain purpose in a certain context. The context specificity of tools and instruments has to be considered and the appropriateness of these must be determined when selecting instruments for any needs assessment for a new project. This article offers a systematic review of tools and instruments for the NaME of HRCD activities at the individual or team and the organizational levels to aid HRCD initiatives in selecting appropriate tools and instruments for data collection within their respective context. For this purpose, a range of studies published between January 1, 2003, and June 30, 2013, were chosen and analysed based on different context parameters such as the level of the CD and the nature of the HRCD activities.

Methods

We followed the PRISMA checklist for reporting systematic reviews and meta-analyses [17]. Inclusion and analysis criteria were defined in advance and documented in a protocol (Tables 1 and 2).
Table 1

Description and operationalization of the five inclusion categories

CategoryDescription/Operationalization
Capacity development“Capacity development is the process through which people, organizations and society shape their own development and adapt it to changing conditions and frameworks” [18]
ResearchResearch spider [19]:- writing a research protocol- using qualitative research methods- publishing research- writing and presenting a research report- analysing and interpreting results- using quantitative research methods- critically reviewing the literature- finding relevant literature- generating research ideas- applying for research fundingAdditional aspects developed according to [20]- leading teams- coordinating a research project- assuring the quality of work- considering ethical aspects in research
Health profession fieldsMedicine, pharmacy, nursing, physical therapy, and other allied health professions
Monitoring and evaluation- defining requirements- analysing current state- defining needs- assessing short- and mid-term outcomes- measuring long-term impactSee also Figure 1
Level of NaME- individual/team capacities to conduct research according to the operationalization of ‘research’- organisational [10] aspects defined according to [18] ○ management and leadership ○ mission, vision, plan ○ human resources ○ culture ○ structures, processes and results
Table 2

Nine aspects for further analysis of the included studies

AspectExplanation
Authors’ name and year of publication
Country or region… where the HRCD activity was conducted or the participants originated from; additionally classified according to the World Banks classification in low-, lower-middle, upper-middle and high-income economies; if disclosed in article
Study participants or material analysedStudy participants are people, who received the health research capacity development activity and were part of the needs assessment and monitoring and evaluation (NaME) study; additional, sample size and professional background of participants is given; or number and description of material analysed; if disclosed in article
Objective(s) of the studySee Table 3
capacity development activityIf applicable
Study designStudy designs were differentiated between single study approaches (e.g. an intervention study) and multi-study approaches (e.g. a combination of an intervention study with a non-intervention study); see also Figure 2
Level of NaMEIndividual/team and/or organizational level
Focus of NaMEAccording to NaME framework; see Table 1 and Figure 1
Tools and instruments used for NaMEAdditional information on mode of analysis (quantitative, qualitative, or mixed)
Description and operationalization of the five inclusion categories Nine aspects for further analysis of the included studies

Information sources and search strategy

We conducted the systematic literature search in July 2013. The search was done in both the literature database PubMed and the search engine Google Scholar. We applied the three search terms “capacity building” AND “research”, “capacity development” AND “research”, and “capacity strengthening” AND “research”. We checked the first 200 hits in Google Scholar for each search term. “Health” and “evaluation” were not included in the search terms as a pre-test search had revealed this would exclude relevant literature. Articles from personal bibliographies of the authors were also included.

Inclusion categories and criteria

The inclusion process was structured along the five inclusion categories ‘capacity development’, ‘research’, ‘health profession fields’, ‘monitoring and evaluation’, and ‘level of NaME’. Table 1 gives a detailed overview of all descriptions and operationalisations used. The category ‘capacity development’ [18] represents an exemplary definition which serves as a guideline for inclusion but should not to be applied word by word. ‘Research’ was operationalized according to the categories of the ‘research spider’ [19]. Some process-related research skills as well as communicational and interpersonal skills were added to our operationalisation [20]. Main health professions were identified and grouped within different fields. NaME was operationalized according to a self-constructed NaME framework of HRCD activities (Fig. 1), which summarizes 13 HRCD/NaME frameworks [2, 5, 8, 10–13, 15, 21–25] and reflects the level of HRCD, common indicators, and the order (from needs assessment to impact evaluation) commonly used in the original frameworks.
Fig. 1

Framework for needs assessment, monitoring and evaluation (NaME) of health research capacity development (HRCD) [ 2 , 5 , 8 , 10 – 13 , 15 , 21 – 25 ].

Framework for needs assessment, monitoring and evaluation (NaME) of health research capacity development (HRCD) [ 2 , 5 , 8 , 10 – 13 , 15 , 21 – 25 ]. For the categories ‘research’, ‘health profession fields’ and ‘monitoring and evaluation’, at least one of the operationalisations of each category had to be addressed by the study. The category ‘level of NaME’ was operationalized referring to the ESSENCE framework ‘Planning, monitoring and evaluation framework for capacity strengthening in health research’ which describes three CD levels: individual and/or team, organizational, and system levels [10]. Only publications focussing on NaME on the individual/team and organizational levels were considered for this review. Additionally, the following eligibility criteria were set: English or German language, publication period from January 1, 2003, to June 30, 2013, intervention, non-intervention and multiple design studies (Fig. 2). We excluded grey literature, editorials, comments, congress abstracts, letters, and similar. Articles focussing on institutional networks with external partners were excluded as well.
Fig. 2

Categorization of the study designs. The study designs are restricted to the included studies.

Categorization of the study designs. The study designs are restricted to the included studies.

Study selection

Two researchers, JH and SN, independently scanned the abstracts identified for inclusion. In case of disagreement, JH and SN discussed the abstracts in question. If consensus could still not be reached, a third reviewer, CK, was consulted. After consensus on inclusion was reached, the full-texts of all included studies were rechecked for inclusion by JH and SN.

Study analysis procedure

We analysed the included articles according to nine aspects defined in Table 2.

Results

The search in PubMed revealed 700 suitable records (Fig. 3). We removed 27 duplicates, resulting in 673 records for inclusion screening. The first 200 hits for each of the three search terms in Google Scholar were considered, resulting in two additional records after removing duplicates. Furthermore, we included articles from the personal bibliographies of the authors, adding 10 more abstracts after checking for duplicates. Of the 685 records identified, 24 did not contain an abstract, but were preliminarily included for the full-text screening. JH and SN scanned the remaining 661 abstracts in terms of the inclusion criteria, thus excluding 616 records; 45 abstracts and the 24 records without abstracts were considered for full-text screening. After the full-text screening, 42 articles were finally included for further analysis; 37 articles originated from PubMed, one from Google Scholar, and four from the personal bibliographies of the authors.
Fig. 3

Flowchart of the inclusion process.

Flowchart of the inclusion process. These 42 articles were subsequently analysed along nine aspects (Table 2). The results are summarized in Table 3.
Table 3

Included studies on needs assessment, monitoring and evaluation (NaME) of health research capacity development (HRCD) at the individual and organizational level

No.First author and yearCountry/Region (country group)a Participants (nb)/ Analysed materialObjective(s) of the studyCapacity development activityStudy designc Level of NaMEFocus of NaMETools and instruments used for NaME (mode of analysis)
1Ajuwon [34]Nigeria (LMIC)Physicians, dentists, nurses, laboratory scientists, and public health professionals of 29 governmental and two non-governmental organizationsd To evaluate training on research ethicsWorkshop2. Multi-study approach: expert study AND Intervention study in pre-post-test designIndividualDefinition of needs: quality of ethics review, good ethical consideration, planning and implementation of ethics trainingOutcome evaluation: knowledge and ethical reasoningFocus group discussions and in-depth interviews for needs assessment (qualitative); 23-item-questionnaire for pre- and post-course evaluation (quantitative)
2Ali [43]13 African countriese Health professionals, ethics committee members, scholars, journalists and scientists (n = 28)To evaluate the Johns Hopkins-Fogarty African Bioethics Training Programme (FABTP)One-year non-degree training1.2.1 Cross-sectional studyIndividualOutcome evaluation: grants, publications, participants’ teaching activitiesFABTP evaluation framework: Individual development (qualitative); Programme evaluation (quantitative)
3Barchi [44]Botswana (UMIC)University faculty memberse, community and governmental staff, research staff from non-governmental organisations, students (n = 71)To evaluate training on research ethicsOne-semester training programme1.1.1.1 Intervention study in randomized controlled designIndividualOutcome evaluation: knowledge and critical reasoningPre- and post-training delivery of Family Health International 40-item-test (quantitative); Self-constructed post-training case work with ethical challenges (quantitative)
4Bates [21]Ghana (LMIC)Clinicians, physiotherapists and hospital managersd To develop an evidence-based tool to guide the design, implementation, and evaluation of health research capacity development programmesNot described further1.2.2 Theoretical studyIndividual and organizationalMapping of the developed evaluation tool to identify needs and gaps: role of partners, institutional research support services, diplomas, research scope, educational quality assurance, publications, grants, use and dissemination of research within and outside of the organizationValidation of proposed framework by mapping it with participants’ and institution’s experiences to derive needs (qualitative)
5Bates [45]Ghana (LMIC)Health professionals: medicine, physiotherapy, pharmacy and health management (n = 15)To evaluate the effectiveness of a 1-year part-time course in research skillsOne-year part-time course2. Multi-study approach: Intervention study in pre-post-test design AND Cross-sectional studyIndividualOutcome evaluation: process and content of course delivery, competencies and confidenceAnalysis of students’ research proposals and projects (quantitative); Research Self-Efficacy Scale (quantitative); Analysis of learners’ reflective commentaries (grounded theory approach) (qualitative); Course evaluation (nominal group technique) (qualitative); Pre- and post-test delivery of “Stages Of Change” tool (quantitative);
6Bates [29]Ghana (LMIC), Kenya (LMIC), Malawi (LIC) and Democratic Republic of Congo (LIC)Four case studies with health-related research projects from four different African countriesTo develop indicators to monitor the building of sustainable health research capacitiesNot described further1.2.2 Theoretical studyIndividual and organizationalDefinition of needs: list of capacity gaps, list of critical and supporting stakeholders Outcome evaluation: publications and/or presentations at national/international meetings, expanded skills and workforce, reduction of input of northern partners, long-term fundingResearchers mapped their framework (Bates et al. [21]) with four case studies to derive generalizable indicators (qualitative)
7Bullock [46]United Kingdom (HIC)Healthcare managers from 10 sites within the National Health Service (NHS)e To improve quality of health research by involving healthcare managers in research projects12-months fulltime programme1.2.3 Expert studyIndividualOutcome evaluation: motivation, arrangements, experiences, lessons learned and quality improvements of the research and programmeAdapted version of Kirkpatrick’s framework [47, 48] for guiding and coding of semi-structured face-to-face interviews (qualitative);
8Cooke [49]United Kingdom (HIC)General practitioners, nurses, social workers, pharmacistsd To find indicators to evaluate the “Designated Research Team” (DRT) approach to build health research capacity in primary and community care settingsTraining, mentorship, supervision, partnership development, protected time for research1.2.2 Theoretical studyIndividual/teamOutcome evaluation: constructing and applying indicatorsMapping of Cooke’s framework (Cooke [8]) with a case to derive literature-based and expert-based indicators for evaluating the DRT (qualitative)
9Corchon [50]Spain (HIC)Clinical nurses (n = 170)To develop nursing research capacity in clinical settingsMentoring, research courses and journal clubs1.1.1.2 Intervention study in non-randomized controlled designIndividualOutcome evaluation: research knowledge, skills, competencies, attitudes, facilitating factors and barriersPre- and post-training delivery of Nursing-research-questionnaire (control) (quantitative); Research-knowledge-objective-test (intervention) (quantitative); Facilitators and barriers scale (intervention) (quantitative)
10Dodani [51]Pakistan (LMIC)Health professionalse (n = 56)To strengthen research capacities through a research skills training workshop in collaboration with the University of Pittsburgh9-day research training workshop1.1.2.1 Intervention study in pre-post-test design with 1 year follow-upIndividualOutcome evaluation: knowledgeSelf-constructed 20-item multiple choice questionnaire (quantitative)
11Du Plessis [52]Republic of South Africa (UMIC)Nurses, other health-related researchers, and national and nternational stakeholdersd,e To understand the stakeholders’ and nurses’ opinion of meaningful researchStudy to prepare any HRCD activity1.2.3 Expert studyIndividual and organizationalDefinition of requirements: description of meaningful researchQualitative secondary analysis with re-exploration of existing data from a Delphi study and focus group discussions
12Finch [53]Australia (HIC)Speech language pathologists (SLP) (n = 158)To investigate the current research interest, confidence, and experience in the SLP healthcare workforce, and factors that predict research engagementStudy to prepare any HRCD activity1.2.1 Cross-sectional studyIndividualAnalysis of current state: research skills, research participationResearch spider tool and additional questions on research participation (quantitative)
13Golenko [22]Australia (HIC)Allied health senior managers (n = 9)To describe and analyse allied health senior managers’ perspectives of how organizational factors impact research capacity developmentStudy to prepare any HRCD activity1.2.3 Expert study, part of Holden et al. [54]OrganizationalDefinition of requirements: organizational factors and support for research-capacity building (RCB), barriers and motivators, research cultureQualitative study with semi-structured interviews
14Green [35]United Kingdom (HIC)Senior staff with teaching role (nurses and midwifes) (n = 34)To examine the development of nursing and midwifery research capacity from the faculty perspectiveAnalysis of institutionalized CD activities2. Multi-study approach: two expert studies AND Theoretical studyIndividual and organizationalOutcome evaluation: research culture, management and organization, problems and challenges, wider contextA case study approach using three types of qualitative methods: Interview; Focus group discussions; Document analysis
15Henderson-Smart [55]Australia (HIC), Malaysia (UMIC), Philippines (LMIC), Thailand (UMIC)Local researchers of four sites from South East Asiad,e To improve the health of mothers and babies in South East Asia by using and generating relevant evidenceTraining and support for generating, using and dissemination of evidence1.1.2.1 Intervention study in pre-post-test designIndividual and organizationalOutcome evaluation: adherence to recommended clinical practices and health outcomes, involvement in evidence-based practice, local barriersPatient chart analysis if best evidence practice had been followed (qualitative); Survey and document analysis: Involvement in evidence based practice; research activities (mixed); Surveys and interviews: Local barriers to practice change (mixed)
16Holden [56]Australia (HIC)Allied health professionals e (n = 134)To develop and validate a questionnaire to evaluate the effectiveness of research culture building activities on individual, team and organizational levelNot described further1.2.4 Validation studyIndividual/team and organizationalNeeds and outcome evaluationThe research capacity and culture tool (RCC) (quantitative)
17Holden [54]Australia (HIC)Multidisciplinary primary healthcare teamsd,e (8 teams)To evaluate the effectiveness of a DRT approach to build research capacities using RCCSupporting teams to conduct small research projects with a multi-strategic approach1.1.1.2 Intervention study in non-randomized matched-pairs designIndividual/team, and organizationalOutcome evaluation: individual, team and organizational domainRCC (intervention and control) (quantitative); Qualitative data on contextual information (intervention and control); Qualitative data on team related aspects (intervention)
18Hyder [32]Pakistan (LMIC)Local researcherse (n = 54)To evaluate the current state and impact of human resource development for health research at doctoral levelTraining on health research skills1.2.1 Cross-sectional studyIndividualOutcome evaluation: training programme characteristics, contributions through research, publicationsImpact evaluation: teaching activities after returning to PakistanSelf-constructed questionnaire (quantitative)
19Hyder [57]Sub-Saharan AfricaSelected trainees from Sub-Saharan Africae (n = 12)To assess given outputs of “The Johns Hopkins-Fogarty African Bioethics Training Programme” (FABTP)Courses on bioethics, research ethics and research methodology1.2.1 Cross-sectional studyIndividualOutcome evaluation: enhanced knowledge, new skills, publications, research grants, number of students taughtFABTP evaluation framework: Informal progress notes and evaluation forms (mixed); Transcripts from trainees’ coursework (qualitative); Resumes (qualitative); Formal progress notes (qualitative)
20Jamerson [30]United States of America (HIC)Undergraduate, masters and doctoral nursing students (n = 30)To describe a training on nursing research capacitiesCollaboration between nursing students and clinician researchersNot mentionedIndividualOutcome evaluation is unclearEvaluation design, methods and tools are not described
21Janssen [36]New Zealand (HIC)Physical therapists and clinical managers (n = 25)To explore the experiences of physical therapists and clinical managers conducting research facilitated by Participatory-Action-Research (PAR) approachSupporting physical therapists and clinical managers in initiating and conducting research by PAR approachMulti-study approach: Intervention study in pre-post-test design and 1 year follow-up AND Theoretical study 1.2.3 Expert studyIndividual and organizationalOutcome evaluation: experiences related to the initiated research process, motivation, research confidence and orientationSemi-structured interviews at the end of the intervention and 1 year later (qualitative); Field notes (qualitative); Reflections of PAR groups (qualitative); Three questionnaires in pre-post-test design with 1 year follow-up (quantitative): Edmonton Research Orientation Survey, two visual analogue scales
22Jones [58]Australia (HIC)General practitioners (n = 11)To determine research training needs and barriersStudy to prepare any HRCD activity1.2.3 Expert studyIndividual and organizationalAnalysis of current state: experiences with research, level of research skills, perceived barriersGrounded theory approach: Semi-structured face-to-face or telephone interviews (qualitative)
23Kwon [59]United States of America (HIC)Community-based organizations (CBO) and partners (n = 27)To assess the resources and needs for research capacities of CBOsStudy to prepare any HRCD activity1.2.1 Cross-sectional studyOrganizationalDefinition of needs: organizational characteristics, involvement in research, research related training, infrastructureFace-to-face group discussions (qualitative); Online questionnaires (quantitative)
24Lazzarini [60]Australia (HIC)Podiatrists (n = 70)To report the research capacity of podiatristsStudy to prepare any HRCD activity1.2.1 Cross-sectional study (part of a longitudinal observational study)Individual/team and organizationalAnalysis of current state: individual research skills, team and organizational aspects of researchElectronic survey (quantitative); RCC tool (quantitative)
25Levine [24]United States of America (HIC)Principal investigators of two research programmes (n = 15)To evaluate two healthcare research capacity development programmes and their sustainabilityTwo capacity development programmes on health research infrastructure1.1.2.1 Intervention study in pre-post-test design with 6 years follow-upOrganizationalAnalysis of current state: level of research activitiesOutcome evaluation: research infrastructure strategies, project barriers and facilitators, process variables, success variablesMixed-method approach guided by a self-constructed framework: Interviews (qualitative); Secondary sources like annual reports or grant applications, etc. (quantitative); Surveys (quantitative)
26Mahamood [25]Bangladesh (LMIC)Managers, key researchers and external partnersd To assess structural and organizational aspects of research capacity development activitiesOn-going research activities and capacity development strategies1.2.1 Cross-sectional studyOrganizationalOutcome evaluation: perceived problems and issues, structural and organizational performance indicators, financial indicatorsMixed-method approach to re-assess defined issues (guided by a self-constructed framework): Interviews (qualitative); Questionnaires (quantitative); Financial analysis (quantitative); Structural analysis of investigated institution (qualitative)
27Mayhew [28]Republic of South Africa (UMIC) and Thailand (UMIC)Programme staff (n = 25) from two partners in South Africa and one in Thailande To strengthen health economics-related research capacity through partnershipsNorth-southern partnerships in research, teaching and communication of new knowledgeMulti-study approach: Theoretical study AND Expert studyIndividual/team, organizational and partnershipsOutcome evaluation: characteristics of participants, publications, projects initiated, effects from partnershipsMixed-method approach guided by evaluation framework: In-depth interviews (qualitative); Document analysis (qualitative); Annual reports and other programme reports (quantitative)
28McIntyre [61]Australia (HIC)Different health practitionerse (n = 105)To build research capacity and to increase the number of health practitioners with knowledge and skills in health researchResearcher development programme1.2.1 Cross-sectional studyIndividualOutcome evaluation: knowledge, attitudes and practice in relation to researchMeasuring the impact of the training by applying an online-questionnaire (quantitative)
29Minja [62]Various developing countriese Participants (n = 128) and institutions (n = 20) of three different capacity development grantse To identify factors that positively influenced and improved the research capacity and career development of grant recipients30 years training in tropical disease1.1.2.1 Intervention study: Pre-post-test design studyIndividual and organizationalOutcome evaluation: indicators on individual career development, research skills and productivity, indicators on institutional infrastructure and developmentMixed-method approach: three standardized questionnaires for individuals (quantitative); In-depth interviews (qualitative); Questionnaires for institutions (quantitative)
30Moore [63]United Kingdom (HIC)Nurses, midwives, and managing staff within NHS foundation trust (n = 16)To develop infrastructure for research capacity developmentStudy to prepare any HRCD activity1.2.3 Expert studyOrganizationalAnalysis of current state: barriers and facilitators of the research processObserving researchers in their natural field by applying the “Action research strategy”: Semi-structured individual interviews (qualitative)
31Njie-Carr [27]Uganda (LIC)Clinicians, community health workers, and administrative staff (n = 43)To evaluate a research capacity development programme (preparing for the implementation and evaluation of a mobile phone based healthcare training on HIV/AIDS)Training to conduct and evaluate a mobile-phone-based healthcare programme1.1.2.1 Intervention study in pre-post-test designIndividual/team and organizationalDefinition of needs: pre-training assessmentOutcome evaluation: structural and organizational aspects of trainings, research knowledge, skills and confidenceCooke’s evaluation framework (Cooke [8]): three questionnaires were constructed and delivered at three time points (quantitative): Situational analysis: Pre-training assessment; Interim evaluation of RCB activities; Final or post-training evaluation of RCB activities
32Otiniano [64]United States of America (HIC)Community health workers in Latino communities (n = 8)To present case studies of eight health promoters who participated in a health policy research programme3-days course on research terminology and methods and a workshop conducted by the course participants to train their colleagues1.2.1 Intervention study in pre-post-test designIndividualAnalysis of current state: experiences with data and milestone trackingOutcome evaluation: extent to which new skills were developedPre-training assessment: analysis of an application survey (quantitative); Milestone tracking for peer teaching workshops in health research (quantitative); Post-training assessment: qualitative phone interviews guided by the “Grounded Theory” method (qualitative)
33Pager [65]Australia (HIC)Allied health professionalse (n = 84)To gain a better understanding of how motivators, enablers, and barriers impact research activities within allied health professionsStudy to prepare any HRCD activity1.2.1 Cross-sectional studyIndividual/team, and organizationalAnalysis of current state: research motivators, enablers and barriersWritten version of research capacity and culture (RCC) tool (quantitative); Tool is broadened to questions on motivators, enablers and barriers on individual and team level (quantitative)
34Perry [66]United Kingdom (HIC)Participants (nurses, midwives, and allied health professionals) and managers (n = 98)To evaluate the extent to which a research facilitator can provide and improve research skillsProgramme on research development, knowledge and implementationMulti-study approach: Intervention study in pre-post-test design AND Expert studyIndividualOutcome evaluation: processes and activities (participants) and impact of the training (managers)Mixed-method approach guided by a self-constructed framework: Questionnaire on opinions und perceptions of participants: comparison with previously defined objectives (quantitative); Semi-structured interviews with managers (qualitative)
35Priest [67]United Kingdom (HIC)Nurses, social scientistsd To evaluate nursing lecturers’ research capacity by involving them as co-researchers in a research project (for details of this project cf. Green et al. [35, 68] and Segrott et al., [69])Programme to integrate neophyte researchers in a research project with experienced researchers1.2.1 Cross-sectional studyIndividualOutcome evaluation: reasons for becoming a member of the study, experiences in terms of benefits and problemsQuestionnaire with open-ended questions (mixed); Comparison of these findings with the findings of the main study (Green et al. [35, 68], Segrott et al. [69]) (quantitative)
36Redman-Maclaren [70]Australia (HIC) and Solomon Islands (LMIC)Solomon Islander and Australian researcherse (n = 10)To explore the benefits of a collaborative research capacity development strategy for both Australian and Solomon Islander researchersTwo-week workshop on research design, data collection and reporting with teaching strategies1.2.3 Expert studyIndividual and organizationalOutcome evaluation: benefits, barriers, experiences, future developmentGrounded theory method was applied: four open ended questions either in a face-to-face interview or in written form (qualitative)
37Ried [71]Australia (HIC)Primary healthcare professionalse (n = 89)To develop and assess research and evaluation skills among primary healthcare professionalsStudy to prepare any HRCD activity1.2.1 Cross-sectional studyIndividualAnalysis of current state and definition of needs: current level of participation in research, level of experience in 10 specific research skills, publication and funding record, interest in training, etc.Questionnaire with five topics; Visual research spider tool (part of the questionnaire) (quantitative)
38Salway [72]United Kingdom (HIC)Public health staff (n = 10)To evaluate and identify elements of learning of participants within a certain research capacity development programme5-month research capacity development programme1.2.1 Cross-sectional studyIndividualOutcome evaluation: participants perception of learning, experiences, programme content and programme structurePost workshop evaluation forms (quantitative); Final evaluation with structured and open ended questions (mixed); Follow-up evaluation 12 months later with three open ended questions (mixed)
39Suter [31]Canada (HIC)13 case reportsTo describe the process used by the Community of Practice to initiate research capacity developmentStudy to prepare any HRCD activity1.2.2 Theoretical studyIndividual and organizationalDefinition of requirements: research and evaluation skills, support of research and evaluation, building linkages, ensuring dissemination, building sustainability, creating appropriate infrastructureMapping recommendations of 13 case reports against Cooke’s framework (Cooke [8]) (qualitative)
40Webster [73]Australia (HIC)Health professionalse, managers and mentors (n = 25)To gain better understanding of the impacts of research programme from the participants’, managers’, and mentors’ perspectives2-years health research capacity development programme1.2.3 Expert studyOrganizationalOutcome evaluation: effectiveness of the partnership, leadership, workforce development, resource allocation and organizational change strategiesSemi-structured interviews (qualitative)
41Wilson [74]Sites outside the United States of Americae Clinical research managerse (n = 166)To describe the development, implementation, and evaluation of a distance-based continuing education programme for study coordinators outside of the United States of America2-years online programme on clinical research1.1.2.1 Intervention study in pre-post-test designIndividualOutcome evaluation: participants perceptions on the course and teaching strategies, level of knowledge, logs on participants capacity development activitiesModified standard course, teaching and overall programme evaluation forms from the University of Alabama (quantitative); 21-item investigator-developed online survey to assess students’ level of knowledge at pre and post course time 10-item survey for withdrawals were constructed (quantitative)
42Wootton [75]Two countriese Researcherse (n = 82)To generate a useful “research output score” out of three indicators to measure individual research outputNot described further1.2.4 Validation studyIndividualOutcome evaluation: development and testing of the “research output score”Definition of three indicators, which build the “research output score”: grant income, publication and number of PhD students supervised; Application of indicators/research output score in different research departments/countries (quantitative)

aCountry group by income according to the World Bank: HIC, High-income country; UMIC, Upper-middle-income country; LMIC, Lower-middle-income country; LIC, Low-income country.

bSample size.

cSee also Figure 2.

dSample size not specified.

eNot specified in the article.

Included studies on needs assessment, monitoring and evaluation (NaME) of health research capacity development (HRCD) at the individual and organizational level aCountry group by income according to the World Bank: HIC, High-income country; UMIC, Upper-middle-income country; LMIC, Lower-middle-income country; LIC, Low-income country. bSample size. cSee also Figure 2. dSample size not specified. eNot specified in the article. Around half of the NaME studies on HRCD activities were conducted in high-income countries (n = 24) [26]. Six studies took place in lower-middle-income and two in upper-middle-income economies. Participants of one study were from a low-income country [27]. Two studies were performed in partnerships between a high-income and several low-, lower-middle and upper-middle-income economies. Mayhew et al. [28] described a partnership study between two upper-middle income countries and Bates et al. [29] analysed case studies from two lower-middle-income and two low-income economies. Five authors did not specify the country or region of their studies. The evaluation focus of the studies was predominately on outcome evaluation (n = 23). Besides that, six studies surveyed the current state, three studies assessed requirements, and two studies investigated needs of HRCD activities. The remaining eight studies combined two evaluation aspects: definition of needs and outcome evaluation (n = 4), analysis of current state and outcome evaluation (n = 1), outcome evaluation and impact evaluation (n = 1), and analysis of current state and definition of needs (n = 1). Jamerson et al. [30] did not define their focus of evaluation. Nearly half of the studies investigated HRCD on the individual/team level (n = 20); 16 studies were conducted at both the individual/team and organizational levels. The authors of six studies focused on organizational aspects of HRCD. Almost all studies (n = 38) described and evaluated HRCD activities; 19 of these HRCD activities were training programmes of predefined duration, lasting between some hours or days up to 2 years. Another nine HRCD activities were perpetual or their duration not specified and 10 studies defined and pre-assessed the setting in preparation of an HRCD activity. The authors of four studies did not specify an HRCD activity, focussing on the development or validation of tools, instruments, and frameworks. The participants of HRCD activities represent a wide range of health professions (e.g. laboratory scientists, physiotherapists, dentists, pharmacists); 10 studies investigated staff with management tasks in health, e.g. hospital managers, clinical research managers. Nurses participated in eight studies with another eight studies looking into ‘research staff’ and ‘scientists’ with no further description. Medical practitioners were studied in five papers. Besides all these, the background of participants was often not specified beyond general terms like ‘health professionals’, ‘ethic committee members’, ‘scholars’, ‘university faculty members’, or ‘allied health professionals’. In a different approach, Suter et al. [31] analysed reports and Bates et al. [29] investigated case studies (without specifying the material scrutinized). A wide variety of study designs was employed by the studies included in the review. We identified 35 single-study and six multi-study approaches. Of the 35 single-study approaches, 10 were designed as intervention (three with control groups) and 25 as non-intervention studies. Four multi-study approaches combined an intervention study with a non-intervention study. Two multi-study approaches combined different non-intervention studies. Jamerson et al. [30] did not specify their study design. Many different tools and instruments for NaME were identified and applied in quantitative, qualitative and mixed mode of analysis. No preferred approach was observed. One third of the studies (n = 16) used a combination of tools for quantitative as well as qualitative analysis. In 13 studies, tools like questionnaires and assessment sheets were applied to evaluate and monitor HRCD activities quantitatively. Evaluation tools, such as interviews, focus group discussions, document analyses, or mapping of cases against evaluation frameworks, were identified in 12 studies and commonly analysed in a qualitative approach. In one study, tools for evaluation were not described at all.

Discussion

Summary of evidence

The aim of our systematic review was to give an overview on tools and instruments for NaME of HRCD activities on the individual and organizational level; 42 included articles demonstrated a large variety of tools and instruments in specific settings. Questionnaires, assessment sheets and interviews (in qualitative settings) were most commonly applied and in part disseminated for further use, development and validation. Overall, 36 studies were either conducted on the individual/team or on both individual/team and organizational level. Within these studies, a well-balanced mixture of quantitative, qualitative and mixed tools and modes of analysis were applied. Judging from the depth of these studies, it seems as if NaME of HRCD on the individual level is quite well developed. Only six studies focused exclusively on organizational aspects, almost all with qualitative approaches, indicating that HRCD studies at this level are still mainly exploratory. The organizational level is possibly a more complex construct to measure. The fact that 13 out of 19 studies that broach organizational aspects were conducted in high-income countries might reflect the wider possibilities of these research institutions and indicates a need for more attention to NaME on the organizational level in lower-income settings. Results from these exploratory studies on the organizational level should feed into the development of standardized quantitative indicators more regularly. Qualitative approaches could be pursued for complex and specific constructs not easily covered quantitatively. By not limiting the primary selection of articles for this review to a specific health profession, it was revealed that staff with management tasks in health research, as well as nurses, were the cohorts most frequently targeted by NaME studies. Further research should concentrate on other health professionals to determine communalities and differences of health-research related skill acquisition and development between health professions. These studies could determine whether and which parts of HRCD and NaME can be considered generic across health professions. Further, we will at some point have to ask, who is being left out and who is not getting access to HRCD programs, and why. The focus of NaME throughout the studies included in this review was on outcome measurement, regardless of whether these were conducted in high-income, upper-middle, lower-middle, or low-income countries. However, there were only few reports of needs assessment from middle- and low-income economies, while high-income countries regularly give account of current states. While this should not be over-interpreted, it still raises the question of whether the needs assessment in the middle- and low-income countries is being done as thoroughly as warranted, but not reported in the articles, or if these countries’ needs might not always be at the very centre of the HRCD’s attention. While the evaluation of HRCD outcomes is, of course, of importance, more attention should be paid to the sustainability of programs and impact evaluation, e.g. parameters of patient care or societal aspects. Only one study, that of Hyder et al. [32], made use of one such indicator and assessed the impact of a HRCD training by considering “teaching activities after returning to Pakistan”. The development of valid impact indicators of course constitutes a methodological challenge. Some studies reporting impact evaluation on a system level might of course have been missed due to the search parameters applied. When undertaking the review, three main methodological weaknesses of this research area became apparent. First, there is a need for common definitions and terminologies to better communicate and compare the HRCD efforts. The analysis of the studies showed that there is an inconsistent use of terms, for example, for CD activities (e.g. training, course, or workshop). Similar problems were already identified in the context of educational capacity building by Steinert et al. [33], who suggest definitions for different training settings which may also be suitable for a more precise description of CD activities. A common taxonomy for the description of health professionals (i.e. the study participants) would be just as desirable. The use of coherent terms would not only enable the accurate replication of studies but also help in determining whether tools and instruments from one setting can be easily transferred to another. A clear and coherent description of study setting and participants is thus an integral step towards scientific transparency. The incoherent categorisation of study types is probably not a new problem. It is, however, amplified by authors who choose very complex approaches to collect data at different NaME levels with deviating terms to describe these approaches [28, 34–36]. The second weakness of the research area is the varying adherence to reporting standards. While there are standards available for reporting qualitative or quantitative research (e.g. Rossi et al. [12], Downing [37], Mays & Pope [38]), it seems these or similar recommendations were not frequently considered when reporting or reviewing NaME studies. This was particularly the case in studies with a mixed-method mode of analysis, where the need for more standardised reporting became apparent. Frambach et al.’s [39] “Quality Criteria in Qualitative and Quantitative Research” could provide guidance, especially for studies with mixed-method approaches. Another important aspect of transparent reporting would be the publication of the tools and instruments used in NaME studies. Of the 42 articles scrutinized during this review, only 15 either disclosed the tools and instruments within the article itself in an appendix or volunteered to have them sent to any audience interested. Of all the tools and instruments disclosed, only two were used in two or more studies. Making the tools and instruments available to the HRCD community would not only allow for their adaptation whenever necessary but, more importantly, support their validation and enhancement. The last point concerns the study designs implemented. The majority of articles are mainly descriptive, non-intervention studies that only allow for low evidence according to Cochrane standards [40]. While most HRCD studies conducted in high-income economies were of non-interventional nature, those from low- and middle-income countries were a mix of non-intervention, intervention and multi-study approaches, yielding higher levels of evidence. Of all interventional studies, most employed a quasi-experimental design with only one randomized controlled trial [23]. The studies reporting HRCD on the institutional level were also primarily on a descriptive level. Cook et al. [41], however, demand going beyond describing what one did (descriptive studies) or whether an intervention worked or not (justification studies). Instead, they call for analysing how and why a program worked or failed (clarification studies). An in-depth analysis of the effectiveness of different HRCD activities is, however, still lacking.

Limitations of the systematic review

This systematic review displays some methodological limitations itself. The issue of deviating terminologies has been raised earlier. In most cases, we adopted the terms used in the studies themselves, e.g. when reporting the authors’ denoted study designs. In very few cases, we changed or completed terms to make the studies more comparable to others. One example is changing the wording from Green et al.’s [35] “case study approach” into a “multi-study approach” to match Flyvberg’s taxonomy [42]. Other limitations typical for reviews may also apply. Relevant sources might not have been detected due to the selected search terms, the range of the data sources, the exclusion of grey literature, and the restriction to English and German sources.

Conclusion

A systematic review on studies from the field of HRCD activities was conducted, with 42 studies being fully analysed. The analysis revealed that a variety of terms and definitions used to describe NaME efforts impedes the comparability and transferability of results. Nevertheless, insight from this review can help to inform researchers and other stakeholders in the HRCD community. A coherent overview on tools and instruments for NaME of HRCD was developed and is provided (Table 3). Furthermore, it is time to set standards for NaME in the HRCD community. Researchers and stakeholders should develop a common research agenda to push, systematise and improve the research efforts in the field of NaME of HRCD activities. To do so, a common language and terminology is required. The conceptualizations used for the purpose of these review can inform this development. On the other hand, we have to critically analyse research gaps in terms of generalizable versus context-specific theories, methods, tools, and instruments. To maximize the benefits and to incorporate different research traditions, these undertakings should be done internationally and multi-professionally within the HRCD community.
  59 in total

1.  Validation of the research capacity and culture (RCC) tool: measuring RCC at individual, team and organisation levels.

Authors:  Libby Holden; Susan Pager; Xanthe Golenko; Robert S Ware
Journal:  Aust J Prim Health       Date:  2012       Impact factor: 1.307

2.  Nursing Student Research Assistant Program: A strategy to enhance nursing research capacity building in a Magnet status pediatric hospital.

Authors:  Patricia A Jamerson; Anne F Fish; Geralyn Frandsen
Journal:  Appl Nurs Res       Date:  2009-10-15       Impact factor: 2.257

3.  Developing the community empowered research training program: building research capacity for community-initiated and community-driven research.

Authors:  Simona Kwon; Catlin Rideout; Winston Tseng; Nadia Islam; Won Kim Cook; Marguerite Ro; Chau Trinh-Shevrin
Journal:  Prog Community Health Partnersh       Date:  2012

4.  Rural research capacity building program: capacity building outcomes.

Authors:  Emma Webster; Margaret Thomas; Narelle Ong; Linda Cutler
Journal:  Aust J Prim Health       Date:  2011       Impact factor: 1.307

5.  Researcher development program of the primary health care research, evaluation and development strategy.

Authors:  Ellen McIntyre; Lyn Brun; Helen Cameron
Journal:  Aust J Prim Health       Date:  2011       Impact factor: 1.307

6.  Building knowledge integration systems for evidence-informed decisions.

Authors:  Allan Best; Jennifer L Terpstra; Gregg Moor; Barbara Riley; Cameron D Norman; Russell E Glasgow
Journal:  J Health Organ Manag       Date:  2009

7.  Research capacity-building program for clinicians and staff at a community-based HIV clinic in Uganda: A pre/post evaluation.

Authors:  Veronica Njie-Carr; Sheila Kalengé; Jack Kelley; Amy Wilson; Joshua Kanaabi Muliira; Rose Chalo Nabirye; Nancy Glass; Robert Bollinger; Stella Alamo-Talisuna; Larry William Chang
Journal:  J Assoc Nurses AIDS Care       Date:  2012-01-23       Impact factor: 1.354

Review 8.  A systematic review of faculty development initiatives designed to improve teaching effectiveness in medical education: BEME Guide No. 8.

Authors:  Yvonne Steinert; Karen Mann; Angel Centeno; Diana Dolmans; John Spencer; Mark Gelula; David Prideaux
Journal:  Med Teach       Date:  2006-09       Impact factor: 3.650

9.  Impact of health research capacity strengthening in low- and middle-income countries: the case of WHO/TDR programmes.

Authors:  Happiness Minja; Christian Nsanzabana; Christine Maure; Axel Hoffmann; Susan Rumisha; Olumide Ogundahunsi; Fabio Zicker; Marcel Tanner; Pascal Launois
Journal:  PLoS Negl Trop Dis       Date:  2011-10-11

10.  Setting directions for capacity building in primary health care: a survey of a research network.

Authors:  Karin Ried; Elizabeth A Farmer; Kathryn M Weston
Journal:  BMC Fam Pract       Date:  2006-02-09       Impact factor: 2.497

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  13 in total

1.  Enabling research capacity strengthening within a consortium context: a qualitative study.

Authors:  Abiola Aiyenigba; Pierre Abomo; Neele Wiltgen Georgi; Imelda Bates; Justin Pulford
Journal:  BMJ Glob Health       Date:  2022-06

2.  Towards fair and effective North-South collaboration: realising a programme for demand-driven and locally led research.

Authors:  Maarten Olivier Kok; John Owusu Gyapong; Ivan Wolffers; David Ofori-Adjei; Elis Joost Ruitenberg
Journal:  Health Res Policy Syst       Date:  2017-11-13

3.  Describing the implementation of an innovative intervention and evaluating its effectiveness in increasing research capacity of advanced clinical nurses: using the consolidated framework for implementation research.

Authors:  Gabrielle McKee; Margaret Codd; Orla Dempsey; Paul Gallagher; Catherine Comiskey
Journal:  BMC Nurs       Date:  2017-05-02

4.  Assessment of Health Research Capacity in Western Sydney Local Health District (WSLHD): A Study on Medical, Nursing and Allied Health Professionals.

Authors:  Sharon A Lee; Karen Byth; Janelle A Gifford; Madhan Balasubramanian; Carolyn A Fozzard; Tony Skapetis; Victoria M Flood
Journal:  J Multidiscip Healthc       Date:  2020-02-11

Review 5.  Guidance and conceptual tools to inform the design, selection and evaluation of research capacity strengthening interventions.

Authors:  Justin Pulford; Susie Crossman; Pierre Abomo; Jessica Amegee Quach; Sara Begg; Yan Ding; Taghreed El Hajj; Imelda Bates
Journal:  BMJ Glob Health       Date:  2021-03

6.  Effectiveness of an Academic-Practice Team Approach on Research Capacity Building of Nurses and Public Health Professionals.

Authors:  Yuwadee Wittayapun; Jiraphat Nawarat
Journal:  Int J Environ Res Public Health       Date:  2021-07-05       Impact factor: 3.390

7.  Strategies for research engagement of clinicians in allied health (STRETCH): a mixed methods research protocol.

Authors:  Sharon Mickan; Rachel Wenke; Kelly Weir; Andrea Bialocerkowski; Christy Noble
Journal:  BMJ Open       Date:  2017-09-11       Impact factor: 2.692

Review 8.  Advancing the science of health research capacity strengthening in low-income and middle-income countries: a scoping review of the published literature, 2000-2016.

Authors:  Laura Dean; Stefanie Gregorius; Imelda Bates; Justin Pulford
Journal:  BMJ Open       Date:  2017-12-06       Impact factor: 2.692

9.  Capacity development in patient-oriented research: programme evaluation and impact analysis.

Authors:  Melanie King Rosario; Marilynne A Hebert; Balreen Kaur Sahota; Dean Eurich
Journal:  Health Res Policy Syst       Date:  2020-08-10

10.  Evaluation of global health capacity building initiatives in low-and middle-income countries: A systematic review.

Authors:  Hady Naal; Maria El Koussa; Melissa El Hamouch; Layal Hneiny; Shadi Saleh
Journal:  J Glob Health       Date:  2020-12       Impact factor: 4.413

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