Publication:
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?

dc.contributor.authorShishi Wuen_US
dc.contributor.authorHelena Legido-Quigleyen_US
dc.contributor.authorJulia Spenceren_US
dc.contributor.authorRichard James Cokeren_US
dc.contributor.authorMishal Sameer Khanen_US
dc.contributor.otherLondon School of Hygiene & Tropical Medicineen_US
dc.contributor.otherNational University of Singaporeen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2019-08-28T06:23:39Z
dc.date.available2019-08-28T06:23:39Z
dc.date.issued2018-02-23en_US
dc.description.abstract© 2018 The Author(s). Background: 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. Methods: 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. Results: 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. Conclusions: 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.en_US
dc.identifier.citationHealth Research Policy and Systems. Vol.16, No.1 (2018)en_US
dc.identifier.doi10.1186/s12961-018-0292-2en_US
dc.identifier.issn14784505en_US
dc.identifier.other2-s2.0-85042453497en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/46938
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042453497&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleDesigning evaluation studies to optimally inform policy: What factors do policy-makers in China consider when making resource allocation decisions on healthcare worker training programmes?en_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042453497&origin=inwarden_US

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