BackgroundA healthy and productive health workforce is central to a well-functioning health system. However, health workers are at high risk of poor psychological wellbeing due to their particularly strenuous work demands. While mental health of health workers is a well-researched issue in high-income countries, research from low- and lower-middle-income countries (LLMIC) has begun to emerge only recently. The review aims to synthesize this body of research, specifically to assess the prevalence of mental health issues among health workers in LLMIC, to identify factors associated with good or poor mental health, and to highlight gaps in knowledge.MethodsWe will perform a systematic search of the published English and French language literature (from inception onwards) in MEDLINE, EMBASE, and PsycINFO. Eligible for inclusion are observational studies (e.g., cross-sectional, case-control, or cohort) and control arms of randomized controlled trials reporting investigations on the nature, prevalence, and factors associated with mental health or psychological wellbeing among formally trained health professionals and health associate professionals delivering health services in formal healthcare facilities in LLMIC. The primary outcomes will be burnout, depression, and general psychological wellbeing. Secondary outcomes include other specific mental health diagnoses, as well as general psychological stress, distress and/or trauma if work-related and explicitly framed as a mental health issue. Two authors will independently examine the studies against the eligibility criteria in the stages of title, abstract, and full-text study selection, as well as assess the risk of bias in included studies using standard checklists depending on study design. Disagreements will be resolved in discussion with the third author. Data will be extracted from included studies using a predefined and piloted coding framework. Given the anticipated heterogeneity of studies, we do not expect to be able to conduct meta-analysis and plan to summarize the extracted data in narrative form. The framework method will be used to organize narrative data by subthemes and explore patterns.DiscussionIn assessing the prevalence of mental health issues among healthcare professionals in LLMIC and identifying factors associated with positive or poor mental health, the review aims to synthesize all possible available information for policy makers and health system managers on a potentially highly important but not yet much-discussed issue and to highlight gaps in currently available knowledge.Systematic review registrationInternational Prospective Register of Systematic Reviews PROSPERO (registration number CRD42019140036)
Background: SARS-CoV-2 has resulted in widespread awareness of health workers’ work realities and their mental health impacts, and corresponding unprecedented research effort. Reviews of the quantitative literature on mental health of clinical skilled healthcare personnel in low- and lower-middle income countries (LLMIC), however, point at quality issues in the pre-pandemic literature. We used the evidence generated in the context of one pre-pandemic review to understand methodological strengths and weaknesses in detail, with the aim of distilling recommendations for future research. Methods: Our study used the literature identified in a systematic search up to the end of 2020, in English or French language, in MEDLINE, EMBASE, PsychINFO, Global Health, and CAIRN. Following a scoping review approach, we extracted and charted data on key study characteristics as well as on study quality. In regard to the latter, we developed nine quality criteria on the basis of existing quality checklists, but expanding on issues of particular relevance to the measurement and interpretation of levels of mental health or illness. We collated the charted data in descriptive fashion. Results: We included data from 152 studies, assessing a range of mental health outcomes, with a focus on burnout. Most studies were conducted in India, Nigeria, Pakistan, or Egypt, in urban secondary- and tertiary-care settings. We judged only 20% of studies as of high quality due to shortcomings particularly regarding sample representativeness, context-specific measurement tool validity, and reporting of methodological detail. Conclusion: We conclude that despite its impressive size, we can learn comparatively little from the body of literature up to the end of 2020 due to limitations in quality. Based on our findings, we outline areas for expansion, methodological improvement, and standardization of reporting in future research. PROSPERO Registration: CRD42019140036.
Background: SARS-CoV-2 has resulted in widespread awareness of health workers’ work realities and their mental health impacts, and corresponding unprecedented research effort. Reviews of the quantitative literature on mental health of clinical skilled healthcare personnel in low- and lower-middle income countries (LLMIC), however, point at quality issues in the pre-pandemic literature. We used the evidence generated in the context of one pre-pandemic review to understand methodological strengths and weaknesses in detail, with the aim of distilling recommendations for future research. Methods: Our study used the literature identified in a systematic search from inception to the end of 2020, in English or French language, in MEDLINE, EMBASE, PsychINFO, Global Health, and CAIRN. Following a scoping review approach, we extracted and charted data on key study characteristics as well as on study quality. In regard to the latter, we developed nine quality criteria on the basis of existing quality checklists, but expanding on issues of particular relevance to the measurement and interpretation of levels of mental health or illness. We collated the charted data in descriptive fashion. Results: We included data from 152 studies, which assessed a range of mental health outcomes, although most burnout. Most studies were conducted in India, Nigeria, Pakistan, or Egypt, in urban secondary- and tertiary-care settings. We judged only 20% of studies as of high quality due to shortcomings particularly regarding sample representativeness, context-specific measurement tool validity, and reporting of methodological detail. Conclusion: We conclude that despite its impressive size, we can learn comparatively little from the body of literature up to the end of 2020 due to narrow study focus on specific settings and strong limitations in quality. Based on our findings, we outline areas for expansion, methodological improvement, and standardization of reporting in future research. PROSPERO Registration: CRD42019140036.
BackgroundSARS-CoV-2 has resulted in unprecedented research efforts on health workers’ work realities and their potential mental health impacts. To understand the latter, high-quality evidence on the baseline situation is paramount. With the aim of providing a comprehensive overview of existing evidence and to inform future research, we undertook a scoping review of the quantitative literature on mental health and psychological wellbeing of clinical skilled healthcare personnel working in all settings of care in low- and lower-middle income countries (LLMIC).MethodsWe performed a systematic search of the literature up to the end of 2019, in English or French language, in MEDLINE, EMBASE, PsychINFO, Global Health, and CAIRN. We included both studies estimating levels of mental health and studies investigating associations with other factors. We extracted data on study characteristics and methodology, and assessed the methodological quality of the included studies along nine criteria.ResultsWe found 143 relevant studies, 135 including data on mental health levels and 126 including data on associations with other factors. The studies covered 26 of the world’s 78 LLMICs, with most studies conducted in India, Nigeria, Pakistan, or Egypt, in urban secondary- and tertiary-care settings. 67% of studies assessed burnout, 25% general psychological wellbeing, and 20% other mental health outcomes. Only 19% of studies were of high quality due to shortcomings particularly in regards to sample representativeness, context-specific measurement tool validity, and reporting of methodological detail. We found much heterogeneity in investigated associated factors. Studies focused almost exclusively on potential determinants of mental health, while none linked mental health to objectively measured performance outcomes.ConclusionWe conclude that despite its impressive size, we can learn comparatively little from the current body of literature. Based on our findings, we outline areas for expansion, methodological improvement, and standardization of reporting in future research on mental health of health workers.Systematic review registrationPROSPERO no. CRD42019140036
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