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Designing evaluation studies to optimally inform policy: what factors do policy-makers in China consider when making resource allocation decisions on healthcare worker training programmes?

机译:设计评价研究以最佳地通知政策:在中国政策制定者在制定关于医疗工作者培训计划的资源分配决策时考虑哪些因素?

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In light of the gap in evidence to inform future resource allocation decisions about healthcare provider (HCP) training in low- and middle-income countries (LMICs), and the considerable donor investments being made towards training interventions, evaluation studies that are optimally designed to inform local policy-makers are needed. The aim of our study is to understand what features of HCP training evaluation studies are important for decision-making by policy-makers in LMICs. We investigate the extent to which evaluations based on the widely used Kirkpatrick model - focusing on direct outcomes of training, namely reaction of trainees, learning, behaviour change and improvements in programmatic health indicators - align with policy-makers' evidence needs for resource allocation decisions. We use China as a case study where resource allocation decisions about potential scale-up (using domestic funding) are being made about an externally funded pilot HCP training programme. Qualitative data were collected from high-level officials involved in resource allocation at the national and provincial level in China through ten face-to-face, in-depth interviews and two focus group discussions consisting of ten participants each. Data were analysed manually using an interpretive thematic analysis approach. Our study indicates that Chinese officials not only consider information about the direct outcomes of a training programme, as captured in the Kirkpatrick model, but also need information on the resources required to implement the training, the wider or indirect impacts of training, and the sustainability and scalability to other settings within the country. In addition to considering findings presented in evaluation studies, we found that Chinese policy-makers pay close attention to whether the evaluations were robust and to the composition of the evaluation team. Our qualitative study indicates that training programme evaluations that focus narrowly on direct training outcomes may not provide sufficient information for policy-makers to make decisions on future training programmes. Based on our findings, we have developed an evidence-based framework, which incorporates but expands beyond the Kirkpatrick model, to provide conceptual and practical guidance that aids in the design of training programme evaluations better suited to meet the information needs of policy-makers and to inform policy decisions.
机译:鉴于证据的差距,通知未来关于低收入国家(LMIC)的医疗保健提供者(HCP)培训的资源分配决策,以及在培训干预措施,最佳设计的评估研究方面进行了相当大的捐助者投资需要通知地方政策制定者。我们的研究目的是了解HCP培训评估研究的特征对于LMIC中的政策制定者的决策是重要的。我们调查基于广泛使用的Kirkpatrick模型的评估的程度 - 专注于培训的直接结果,即学员,学习,行为变化和方案健康指标的改善 - 与政策制定者的证据对资源分配决策保持一致。我们以中国为例,是关于潜在扩大(使用国内资金)的资源分配决策,正在制定关于外部资助的飞行员HCP培训计划。通过十大面对面,深入的访谈和两个参与者组成的中国国家和省级的资源分配中涉及资源分配的高级官员收集质量数据。使用解释性专题分析方法手动分析数据。我们的研究表明,正如KirkPatrick模型所捕获的那样,中国官员不仅考虑有关培训计划的直接成果的信息,而且还需要有关实施培训所需的资源,更广泛或间接影响的资源以及可持续性和国家内其他设置的可扩展性。除了考虑评估研究中提出的结果外,我们发现中国政策制定者密切关注评估是否是健壮的,并向评估团队的组成。我们的定性研究表明,培训方案评估难以直接培训成果的关注可能无法为决策者提供足够的信息,以便为未来的培训计划做出决定。根据我们的调查结果,我们制定了一个基于证据的框架,其中包含了但扩展到KirkPatrick模型之外,提供了概念和实用的指导,援助培训计划评估的设计更适合符合政策制定者的信息需求和告知政策决定。

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