TUM School of Governance, Technical University of Munich, Munich, Germany
Department of Social Policy and Intervention, University of Oxford, Oxford, UK.
BMJ Glob Health. 2021 Jul;6(7). doi: 10.1136/bmjgh-2021-005380.
Primary data collection in low-income and middle-income countries (LMICs) is associated with a range of ethical complexities. Considerations on how to adequately ensure the well-being of research staff are largely neglected in contemporary ethics discourse. This systematic review aims to identify the ethical challenges that research staff across different hierarchical levels and scientific disciplines face when conducting research in LMICs.
We searched 13 electronic databases and handsearched publications in six selected journals as well as the reference lists of all included studies. No restrictions were applied with respect to the publication date, research design, and target population.
23 151 studies were retrieved, 183 of which met our inclusion criteria. We identified nine different types of ethical challenges that research staff may be exposed to during field research, including (1) role conflicts that can emerge from participants' help requests and the high level of deprivation found in certain study settings, (2) feelings of guilt and (3) detrimental mental health impacts. Further challenges were (4) sexual harassment (5) safety risks and (6) political repression, particularly in postconflict, disaster-ridden or autocratic study contexts. Additionally, studies reported (7) inadequate working conditions and (8) power imbalances within research teams, while (9) ethics boards were found to be ill equipped to anticipate and address emerging risks, thus increasing the ethical liability of researchers.
This review revealed several complex ethical challenges that research staff may face during data collection. In order to achieve the Sustainable Development Goal 8.8 on 'safe and secure working environments' and to protect research staff from harm, amendments must urgently be made to current ethical standards.
CRD42019131013.
在中低收入国家(LMICs)进行原始数据收集与一系列伦理复杂性相关。在当代伦理话语中,人们在很大程度上忽视了如何充分确保研究人员福祉的问题。本系统评价旨在确定不同层次和科学学科的研究人员在 LMICs 进行研究时所面临的伦理挑战。
我们搜索了 13 个电子数据库,并在六本选定期刊中手动搜索出版物以及所有纳入研究的参考文献列表。对于出版日期、研究设计和目标人群,没有任何限制。
共检索到 23151 项研究,其中 183 项符合纳入标准。我们确定了研究人员在实地研究中可能面临的九种不同类型的伦理挑战,包括(1)参与者的求助请求和某些研究环境中存在的高度贫困可能引发的角色冲突,(2)内疚感,以及(3)对心理健康的不利影响。进一步的挑战包括(4)性骚扰,(5)安全风险和(6)政治镇压,特别是在后冲突、受灾或专制的研究背景下。此外,研究报告称(7)工作条件不足和(8)研究团队内部的权力失衡,而(9)伦理委员会发现无法预测和解决新出现的风险,从而增加了研究人员的伦理责任。
本综述揭示了研究人员在数据收集过程中可能面临的一些复杂的伦理挑战。为了实现可持续发展目标 8.8 关于“安全和有保障的工作环境”,并保护研究人员免受伤害,必须对当前的伦理标准进行紧急修正。
PROSPERO 注册号:CRD42019131013。