engleski

Binary Study of Disability and Mental Health Policy: A Methodological Report

Cross-sectoral comparisons of public policies, with a small sample and in-depth approach, are still quite rare. This study explores advantages and pitfalls of binary qualitative research design in public policy by comparing mental health and disability. Those sectors are chosen within most-similar design, as quite interconnected policies that are either gone or going through transformation from "pure" health policy to broad multisectoral policy also containing diverse social, human rights, education issues, etc. Project is guided by a simple comparative question of what are similarities and differences of disability and mental health policy on European level and is based on qualitative data analysis. It uses document analysis as main data collecting method. European documents (of EU, Council of Europe, WHO and UN) within those sectors are coded by rules of Boyatzis' thematic analysis to detect main patterns / models of disability and mental health policy to be compared. Codes cover elements or features of those models: goals and objectives, instruments, target groups, problems, actors and policy-making principles. The purpose of this paper is to present transparently all methodological practices and foundations of the project to get its critical review. Therefore, paper will declare details on data gathering methods and coding procedures - on sampling, codes development and test coding.

cross-sectoral comparison ; multisectoral policies ; thematic analysis ; document sampling ; test coding

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