Harnessing peer mentorship as a tool to turn human resource for health brain drain into brain gain: a case study of a Nigerian peer-mentored research group.

BACKGROUND: Peer mentorship can be a potential tool to reduce the disparities in health research capacity between high- and low- and middle-income countries. This case study describes the potential of peer mentorship to tackle two critical issues: bridging health research capacity of doctors from low- and middle-income countries (LMICs) and the transformation of human resource for health brain drain into "brain gain". CASE PRESENTATION: In 2021, a virtual peer mentorship group was established by 16 alumni of the University of Benin College of Medical Sciences' 2008 graduating class, residing across three continents. This program aimed to facilitate research collaboration and skill development among colleagues with diverse research experience levels, fostering a supportive environment for career development in research. The group relied heavily on digital technology to carry out its activities due to the different geographical locations of the group members. Led by experienced peer leaders, the group fostered a collaborative learning environment where members leveraged each other's expertise. Within 18 months, we published two research papers in high-impact peer-reviewed global health journals, launched a mixed-methods research study, and conducted training sessions on research design and implementation. Findings from our work were presented at conferences and workshops. However, logistical hurdles, competing priorities, structural constraints, and uneven participation presented challenges. CONCLUSION: The peer mentorship collaboration has achieved some successes so far, and this model can be emulated by other cohorts of medical professionals across LMICs. Despite the group's success at a micro- or individual level, there remain significant structural barriers to research capacity building in LMICs that can only be addressed at the meso- and macro-levels by institutions and government, respectively. A systems-level approach is required to develop and support research capacity building and foster global research collaboration and effectively turn brain drain into brain gain.

Drivers of health workers' migration, intention to migrate and non-migration from low/middle-income countries, 1970-2022: a systematic review.

BACKGROUND: The migration of healthcare workers (HWs) from low/middle-income countries (LMICs) is a pressing global health issue with implications for population-level health outcomes. We aimed to synthesise the drivers of HWs' out-migration, intention to migrate and non-migration from LMICs. METHODS: We searched Ovid MEDLINE, EMBASE, CINAHL, Global Health and Web of Science, as well as the reference lists of retrieved articles. We included studies (quantitative, qualitative or mixed-methods) on HWs' migration or intention to migrate, published in either English or French between 1 January 1970 and 31 August 2022. The retrieved titles were deduplicated in EndNote before being exported to Rayyan for independent screening by three reviewers. RESULTS: We screened 21 593 unique records and included 107 studies. Of the included studies, 82 were single-country studies focusing on 26 countries, while the remaining 25 included data from multiple LMICs. Most of the articles focused on either doctors 64.5% (69 of 107) and/or nurses 54.2% (58 of 107). The UK (44.9% (48 of 107)) and the USA (42% (45 of 107)) were the top destination countries. The LMICs with the highest number of studies were South Africa (15.9% (17 of 107)), India (12.1% (13 of 107)) and the Philippines (6.5% (7 of 107)). The major drivers of migration were macro-level and meso-level factors. Remuneration (83.2%) and security problems (58.9%) were the key macro-level factors driving HWs' migration/intention to migrate. In comparison, career prospects (81.3%), good working environment (63.6%) and job satisfaction (57.9%) were the major meso-level drivers. These key drivers have remained relatively constant over the last five decades and did not differ among HWs who have migrated and those with intention to migrate or across geographical regions. CONCLUSION: Growing evidence suggests that the key drivers of HWs' migration or intention to migrate are similar across geographical regions in LMICs. Opportunities exist to build collaborations to develop and implement strategies to halt this pressing global health problem.