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. 2021 Feb 16;35(10):1424-1431.
doi: 10.1093/heapol/czaa064.

Document analysis in health policy research: the READ approach

Affiliations

Document analysis in health policy research: the READ approach

Sarah L Dalglish et al. Health Policy Plan. .

Abstract

Document analysis is one of the most commonly used and powerful methods in health policy research. While existing qualitative research manuals offer direction for conducting document analysis, there has been little specific discussion about how to use this method to understand and analyse health policy. Drawing on guidance from other disciplines and our own research experience, we present a systematic approach for document analysis in health policy research called the READ approach: (1) ready your materials, (2) extract data, (3) analyse data and (4) distil your findings. We provide practical advice on each step, with consideration of epistemological and theoretical issues such as the socially constructed nature of documents and their role in modern bureaucracies. We provide examples of document analysis from two case studies from our work in Pakistan and Niger in which documents provided critical insight and advanced empirical and theoretical understanding of a health policy issue. Coding tools for each case study are included as Supplementary Files to inspire and guide future research. These case studies illustrate the value of rigorous document analysis to understand policy content and processes and discourse around policy, in ways that are either not possible using other methods, or greatly enrich other methods such as in-depth interviews and observation. Given the central nature of documents to health policy research and importance of reading them critically, the READ approach provides practical guidance on gaining the most out of documents and ensuring rigour in document analysis.

Keywords: Health policy; health systems research; interdisciplinary; methods; policy; policy analysis; policy research; qualitative; research methods; social sciences.

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Figures

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HIV and viral hepatitis articles by main frames (%). Note: The percentage of articles is calculated by dividing the number of articles appearing in each frame for viral hepatitis and HIV by the respectivenumber of sampled articles for each disease (N = 137 for HIV; N = 117 for hepatitis). Time frame: 1 January 2006 to 30 September 2016
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Representations of progress toward Millennium Development Goal 4 in Nigerien policy documents. Sources: clockwise from upper left: (WHO 2006); (Institut National de la Statistique 2010); (Ministè re de la Santé Publique 2010); (Unicef 2010)

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