Abstract

BackgroundEvidence from the context of local health ecosystems is highly relevant for research and policymaking to understand geographical variations in outcomes of health care delivery. In mental health systems, the analysis of context presents particular challenges related to their complexity and to methodological difficulties. Method guidelines and standard recommendations for conducting context analysis of local mental health care are urgently needed. This scoping study reviews current methods of context analysis in mental health systems to establish the parameters of research activity examining availability and capacity of care at the local level, and to identify any gaps in the literature.MethodsA scoping review based on a systematic search of key databases was conducted for the period 2005–2016. A systems dynamics/complexity approach was adopted, using a modified version of Tansella and Thornicroft’s matrix model of mental health care as the conceptual framework for our analysis.ResultsThe lack of a specific terminology in the area meant that from 10,911 titles identified at the initial search, only 46 papers met inclusion criteria. Of these, 21 had serious methodological limitations. Fifteen papers did not use any kind of formal framework, and five of those did not describe their method. Units of analysis varied widely and across different levels of the system. Six instruments to describe service availability and capacity were identified, of which three had been psychometrically validated. A limitation was the exclusion of grey literature from the review. However, the imprecise nature of the terminology, and high number of initial results, makes the inclusion of grey literature not feasible.ConclusionWe identified that, in spite of its relevance, context studies in mental health services is a very limited research area. Few validated instruments are available. Methodological limitations in many papers mean that the particular challenges of mental health systems research such as system complexity, data availability and terminological variability are generally poorly addressed, presenting a barrier to valid system comparison. The modified Thornicroft and Tansella matrix and related ecological production of care model provide the main model for research within the area of health care ecosystems.

Highlights

  • Evidence from the context of local health ecosystems is highly relevant for research and policymaking to understand geographical variations in outcomes of health care delivery

  • Ninety-five were not relevant to the topic; 57 were not mental health related; 94 papers were excluded due to interpretations of the concept that were either limited, or incompatible with the study concept; 10 previously unidentified articles of grey literature were excluded at this point, as were 14 papers relating to areas of care outside the inclusion criteria, such as child and adolescent mental health, or culturally and linguistically diverse (CALD) mental health

  • There is a need for more analytical studies as opposed to purely descriptive papers. This scoping review has identified that context studies in mental health services is an area of limited research

Read more

Summary

Introduction

Evidence from the context of local health ecosystems is highly relevant for research and policymaking to understand geographical variations in outcomes of health care delivery. Method guidelines and standard recommendations for conducting context analysis of local mental health care are urgently needed. This scoping study reviews current methods of context analysis in mental health systems to establish the parameters of research activity examining availability and capacity of care at the local level, and to identify any gaps in the literature. The significance of local context in such variations is recognised, with the more complex the intervention, the greater the relevance of local factors to its outcome [1]. Evidence from the context of local health systems is highly relevant for research and policymakers. In spite of its relevance, the need for context analysis in health services and delivery research has not been sufficiently recognised [1, 2, 4]

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call