Department of Adult Health, University of Ghana, Legon, Ghana
Academy of International Affairs, NRW, Bonn, Germany.
BMJ Open. 2024 Oct 17;14(10):e087213. doi: 10.1136/bmjopen-2024-087213.
Migration of the health workforce from low- and middle-income countries (LMCIs) is increasingly becoming a phenomenon of interest within migration governance systems. The COVID-19 pandemic aggravated health workforce shortages that have created job opportunities in high-income countries such as the USA, UK, Canada and Germany among others. Conditions of service in LMCIs are unattractive, leading to the search for better opportunities. The digital environment is becoming one of the facilitators of migration intentions due to the activities of recruitment agencies and the search for job opportunities on the World Wide Web. The digital environment creates opportunities for migration but also poses a security threat, economic loss and a brain drain to departure countries. However, there is a paucity of evidence on how the proliferation of advertisements on health workforce recruitment within social media, unsolicited emails and activities of recruitment agencies in the digital environment influence the migration of the health workforce and the implications of migration governance.
This scoping review protocol describes a comprehensive systematic extraction and examination of existing literature to map key concepts and identify previous literature, noting the gaps in how social media and the digital environment are influencing the migration of the health workforce. We lean on Arksey and O'Malley's scoping framework in developing this protocol. This involves the following: identifying research questions, searching for the literature, selecting articles or studies, charting the data and organising and reporting the outcome of the review. The review question is informed by the population, concept and context framework, which details the population as the health workforce (doctors, nurses, midwives and pharmacists), the key concepts as migration, social media and digital environment, and the context as LMICs. The search strategy was developed with the assistance of an experienced librarian who will work with the team to conduct a Peer Review of Electronic Search Strategies to evaluate titles, abstracts and full-text articles for inclusion from databases such as Scopus, PubMed, MEDLINE and Google Scholar. Additionally, we will search grey literature sources including online news media, social media platforms (Facebook, Instagram and Twitter), web pages of WHO, UN and migration-related agencies, and interfaces like EBSCO host. Two members of the team will screen titles and abstracts, and all team members will screen full text for data extraction. Data from grey sources will be converted to transcripts, coded and grouped into themes and subthemes consistent with thematic analysis strategies. All authors will be involved in the synthesis of the data. We intend to follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines in reporting the outcome of peer-review sources.
This is a scoping review protocol that addresses a subject of interest that poses no risk to individuals or groups. All the information will be retrieved from open sources only. The protocol was registered with the Open Science Framework registry (osf.oi/zan3q) to serve as an audit trail. Reports from the review will be published in peer-reviewed journals and presented at conferences.
从低收入和中等收入国家(LMICs)向高收入国家(如美国、英国、加拿大和德国等)迁移的卫生人力日益成为移民治理系统关注的一个现象。COVID-19 大流行加剧了卫生人力短缺问题,在高收入国家创造了就业机会。LMICs 的服务条件没有吸引力,导致人们寻找更好的机会。数字环境由于招聘机构的活动以及在万维网上寻找工作机会,成为移民意向的促进因素之一。数字环境为移民创造了机会,但也对出发国构成了安全威胁、经济损失和人才流失。然而,关于社交媒体中卫生人力招聘广告的泛滥、未经请求的电子邮件和招聘机构在数字环境中的活动如何影响卫生人力的迁移以及移民治理的影响,证据仍然不足。
本范围综述方案描述了对现有文献进行全面系统提取和检查,以绘制关键概念并确定以前的文献,同时注意到社交媒体和数字环境如何影响卫生人力迁移以及移民治理的差距。我们借鉴了 Arksey 和 O'Malley 的范围综述框架来制定本方案。这包括以下内容:确定研究问题、搜索文献、选择文章或研究、绘制数据以及组织和报告综述结果。综述问题由人口、概念和背景框架提供信息,该框架详细说明了人口作为卫生人力(医生、护士、助产士和药剂师)、关键概念作为迁移、社交媒体和数字环境以及背景作为 LMICs。搜索策略是在一位经验丰富的图书馆员的协助下制定的,图书馆员将与团队合作,开展同行评议电子搜索策略,以从 Scopus、PubMed、MEDLINE 和 Google Scholar 等数据库中评估标题、摘要和全文文章的纳入情况。此外,我们还将搜索灰色文献来源,包括在线新闻媒体、社交媒体平台(Facebook、Instagram 和 Twitter)、世卫组织、联合国和移民相关机构的网页,以及 EBSCOhost 等界面。团队的两名成员将筛选标题和摘要,所有团队成员都将筛选全文以进行数据提取。灰色来源的数据将转换为文字记录,进行编码,并按照主题分析策略分组为主题和子主题。所有作者都将参与数据综合。我们打算按照系统评价和荟萃分析扩展范围综述指南报告同行评议来源的结果。
这是一项范围综述方案,涉及对个人或群体没有风险的感兴趣主题。所有信息都将仅从公开来源检索。该方案已在开放科学框架注册表(osf.oi/zan3q)中注册,作为审核跟踪。综述报告将发表在同行评议期刊上,并在会议上展示。