Abstract

BackgroundThere is a growing need for methods that acknowledge and successfully capture the dynamic interaction between context and implementation of complex interventions. Case study research has the potential to provide such understanding, enabling in-depth investigation of the particularities of phenomena. However, there is limited guidance on how and when to best use different case study research approaches when evaluating complex interventions. This study aimed to review and synthesise the literature on case study research across relevant disciplines, and determine relevance to the study of contextual influences on complex interventions in health systems and public health research.MethodsSystematic meta-narrative review of the literature comprising (i) a scoping review of seminal texts (n = 60) on case study methodology and on context, complexity and interventions, (ii) detailed review of empirical literature on case study, context and complex interventions (n = 71), and (iii) identifying and reviewing ‘hybrid papers’ (n = 8) focused on the merits and challenges of case study in the evaluation of complex interventions.ResultsWe identified four broad (and to some extent overlapping) research traditions, all using case study in a slightly different way and with different goals: 1) developing and testing complex interventions in healthcare; 2) analysing change in organisations; 3) undertaking realist evaluations; 4) studying complex change naturalistically. Each tradition conceptualised context differently—respectively as the backdrop to, or factors impacting on, the intervention; sets of interacting conditions and relationships; circumstances triggering intervention mechanisms; and socially structured practices. Overall, these traditions drew on a small number of case study methodologists and disciplines. Few studies problematised the nature and boundaries of ‘the case’ and ‘context’ or considered the implications of such conceptualisations for methods and knowledge production.ConclusionsCase study research on complex interventions in healthcare draws on a number of different research traditions, each with different epistemological and methodological preferences. The approach used and consequences for knowledge produced often remains implicit. This has implications for how researchers, practitioners and decision makers understand, implement and evaluate complex interventions in different settings. Deeper engagement with case study research as a methodology is strongly recommended.

Highlights

  • There is a growing need for methods that acknowledge and successfully capture the dynamic interaction between context and implementation of complex interventions

  • We present four research traditions, each comprising a meta-narrative, relating to case study research on context and complex interventions, arguing that those involved in intervention evaluation need to make explicit and transparent choices about the type/s of case study on which their research draws

  • Developed by Greenhalgh and colleagues to explain the disparate data encountered in their review of diffusion of innovation in health care organisations [32], the meta-narrative review process is guided by six principles (Table 1) and involves looking beyond the content of literature to the way it is framed

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Summary

Introduction

There is a growing need for methods that acknowledge and successfully capture the dynamic interaction between context and implementation of complex interventions. To address a recognised lack of clarity on how researchers should conduct and report empirical case studies [7], and especially to address the knotty problem of how context should be understood and operationalised in such studies [6], we undertook a systematic meta-narrative literature review. This was part of the Triple C (Case study, Context and Complex interventions) study that aims to develop guidance and standards for reporting case study research into the influence of context in complex health interventions. Doing so will increase understanding of the knowledge produced and potential for transferability of findings

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