Department of Global Health and Development, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, UK.
Institute of Public Health, Heidelberg University, Heidelberg, Germany.
Health Policy Plan. 2018 Mar 1;33(2):192-203. doi: 10.1093/heapol/czx153.
A health system's ability to deliver quality health care depends on the availability of motivated health workers, which are insufficient in many low income settings. Increasing policy and researcher attention is directed towards understanding what drives health worker motivation and how different policy interventions affect motivation, as motivation is key to performance and quality of care outcomes. As a result, there is growing interest among researchers in measuring motivation within health worker surveys. However, there is currently limited guidance on how to conceptualize and approach measurement and how to validate or analyse motivation data collected from health worker surveys, resulting in inconsistent and sometimes poor quality measures. This paper begins by discussing how motivation can be conceptualized, then sets out the steps in developing questions to measure motivation within health worker surveys and in ensuring data quality through validity and reliability tests. The paper also discusses analysis of the resulting motivation measure/s. This paper aims to promote high quality research that will generate policy relevant and useful evidence.
医疗体系提供高质量医疗服务的能力取决于是否有积极性高的卫生工作者，而在许多低收入国家，这方面的人力严重不足。为了理解是什么驱动了卫生工作者的积极性，以及不同的政策干预如何影响积极性，政策制定者和研究人员越来越关注这些问题，因为积极性是绩效和医疗服务质量的关键。因此，研究人员越来越有兴趣在卫生工作者调查中衡量积极性。但是，目前关于如何从概念上理解和处理衡量方法，以及如何验证或分析从卫生工作者调查中收集的积极性数据，还缺乏指导，这导致衡量方法不一致，有时质量也较差。本文首先讨论了如何从概念上理解积极性，然后阐述了在卫生工作者调查中制定衡量积极性问题的步骤，并通过有效性和可靠性测试确保数据质量。本文还讨论了对由此产生的积极性衡量标准的分析。本文旨在促进高质量的研究，为相关政策提供有用的证据。
