| Literature DB >> 32213518 |
Claire Vassie1, Sue Smith1, Kathleen Leedham-Green2.
Abstract
OBJECTIVES: To examine and synthesise current evidence on the factors that affect recruitment, retention, participation and progression within the clinical academic pathway, focusing on equitable participation across protected characteristics including gender, ethnicity and sexual orientation.Entities:
Keywords: health policy; medical education & training; organisational development; qualitative research
Mesh:
Year: 2020 PMID: 32213518 PMCID: PMC7170560 DOI: 10.1136/bmjopen-2019-033480
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Inclusion criteria and justification
| Criteria | Justification |
| Types of participants | |
| Exclusion of articles related to nursing, midwifery and allied health professionals | Nursing, midwifery and allied health professions were excluded due to divergent issues related to gender and equitable participation. |
| North American, Western European, Australasian and available in the English language | Our geographical focus was chosen due to (1) established clinical academic career pathways in these regions and (2) the heavy influence of societal norms on attitudes to equitable participation which are relatively similar across these regions. |
| Relevance to phenomena of interest (clinical academic career pipeline) within the context of diversity | |
| Identifies factors that impact on equitable participation in the career pipeline (attractiveness, retention, success) | Our aim was to synthesise the range of factors impacting on equitable participation. We therefore excluded research that measured markers of equitable participation (eg, publication or promotion rates). evaluated interventions to address equitable participation (eg, mentoring schemes). assessed the impacts of attrition (eg, on research quality). |
| Conducted between 2005 and April 2019 | In 2005 Modernising Medical Careers was introduced in the UK, and current recommendations for clinical academic training were established. |
| Types of publications | |
| Exclusion of theoretical perspectives, commentaries, letters, opinion pieces | Our aim was to identify robust conceptual categories and to explore their explanatory value. Our interest was in the concepts that had been identified by researchers, rather than the original raw data, ie second-order data. |
| Subject to peer review and published in a reputable (non-predatory) journal | Publication in a reputable journal following peer review was used as an initial surrogate for quality. Unpublished PhD theses, ongoing unpublished studies on trial registers, letters, conference abstracts, grey literature and suspected predatory journals |
| Available in the English Language | The language criterion was partly pragmatic, and also to avoid the risk of misinterpreting constructs through translation. |
Search terms
| Population—clinical academics | Context—diversity and equity | Phenomenon of interest—retention and success |
| clinical academ* | divers* | success* |
| academic medic* | equit* | participat* |
| physician scientist* | bias* | promot* |
| academic surg* | under-represent* | inclus* |
| academic clinician* | female* | retain |
| physician researcher* | gender | retention |
| women | career* | |
| minorit* | attrition | |
| racial* | leaders* | |
| ethnic* | ||
| sexuality | ||
| orientation | ||
| LGBT* | ||
| disab* |
Web of Science search string: TITLE: (‘clinical academ*’ OR ‘academic medic*’ OR ‘physician scientist’ OR ‘academic surg*’ OR ‘academic clinician’ OR ‘physician scientist’) AND TITLE: (divers* OR equit* OR bias* OR under-represent* OR female* OR gender OR women OR minorit* OR racial* OR ethnic* OR sexuality OR orientation OR LGBT* OR Disab*) AND TITLE: (success* OR participat* OR promot* OR inclus* OR retain OR retention OR career* OR attrition OR leaders*).
Methodological quality
| Article citation | Study design | Population | Comments on quality |
| Ellinas | Cross-sectional quantitative survey | 614 current academic respondents (of 1456) at one US medical college | Pros: well designed, wide range of factors explored and some significant factors identified |
| Huttner | Thematic analysis of interviews and focus groups | 52 interviews and 5 focus groups across 5 European countries | Pros: broad range of themes, backed up by primary data |
| Sánchez | Mixed methods survey and focus groups | Recruited from two US academic health conferences, 252 surveys completed by healthcare professionals and trainees and a subset of 41 participated in 8 focus groups | Pros: validated questionnaire, large number of focus groups analysed using Consensual Qualitative Research (CQR) methodology, important niche |
| Sanchez | Mixed methods survey and focus groups | 643 survey respondents, 121 focus group participants recruited from attendees at four US national conferences, two that focus on Hispanic/Latino trainees | Pros: wide national US coverage; open focus group questions analysed using CQR and survey explores relative impacts across a wide range of factors |
| Martinez | Cross-sectional mixed methods survey, snowballing recruitment | 433 academics who had left 6 US medical schools | Pros: good study design and rich qualitative data |
| Ellinas | Cross-sectional qualitative survey | 491 current academic respondents (of 1456) at one US medical college | Pros: well designed, rich qualitative data |
| Ranieri | Thematic analysis of semistructured interviews | 35 interviews doctoral trainee physicians from University College London | Pros: good study design |
| Rao | Cross-sectional quantitative survey | 1774 (96%) of academic physicians within a single US healthcare organisation | Pros: explores impacts of multiple factors across both genders |
| Jagsi | Longitudinal quantitative survey | 1066 (of 1719) US national research awardees from 2006 to 2009, surveyed in 2010–2011 and 2014 | Pros: wide range of factors explored and significant factors identified |
| Lopes | Cross-sectional quantitative survey | 322 respondents (of 523) current PhD students at two UK universities | Pros: well designed, wide range of factors explored and significant factors identified |
| Edmunds | Narrative review of empirical evidence | 52 empirical papers exploring reasons for choose/leaving academic medicine | Pros: broad explanatory coverage across 5 themes |
| Ranieri | Scoping review | All English language papers, all dates: 9 commentaries, 34 empirical papers, 6 reviews, 1 case study identified | Pros: multiple relevant factors in six themes identified |
| Eley | Cross-sectional mixed-methods survey | 418 (of 2000) Australian medical students at one institution, all years | Pros: explored a wide range of factors, rich qualitative data and good analysis |
| Skinnider | Cross-sectional quantitative survey | 70 Canadian MD PhD completers who had completed physician scientist training | Pros: explored impacts of multiple factors across both genders |
| Humberstone | Thematic analysis of semistructured interviews | 8 female deans of US medical schools (of 19) | Pros: multiple relevant factors identified with strong reference to underlying raw data and strong emergent themes |
| Wingard | Longitudinal action research project involving multiple surveys and interventions | Survey participants between 478 and 515 (of 1350) faculty at one US health sciences facility | Pros: multiple factors explored in the discussion section, with reference to strong underlying data |
| Kaplan | Thematic analysis of semistructured interviews | 44 senior faculty with responsibility for diversity and inclusion at 24 randomly selected US medical schools | Pros: good methodology and strong use of underlying quotes discussed with reference to the literature |
Figure 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.
Figure 2Factors related to retention, success and equitable participation in clinical academia.