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The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review

INTRODUCTION: Document analysis is commonly used in health policy analysis (HPA) studies, but the purpose and rigour of application is unclear. This review explored the application and utility of document analysis in HPA studies conducted in low-and-middle income countries (LMICs), intending to deri...

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Autores principales: Kayesa, Naomi Karen, Shung-King, Maylene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297803/
https://www.ncbi.nlm.nih.gov/pubmed/37383492
http://dx.doi.org/10.1016/j.hpopen.2020.100024
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author Kayesa, Naomi Karen
Shung-King, Maylene
author_facet Kayesa, Naomi Karen
Shung-King, Maylene
author_sort Kayesa, Naomi Karen
collection PubMed
description INTRODUCTION: Document analysis is commonly used in health policy analysis (HPA) studies, but the purpose and rigour of application is unclear. This review explored the application and utility of document analysis in HPA studies conducted in low-and-middle income countries (LMICs), intending to derive lessons for strengthening this methodology. METHODS: Employing a qualitative systematic review approach, nine electronic databases were searched for LMIC HPA articles that employed document analysis. Articles were subjected to systematic retrieval, storage and quality-assessment. Thematic analysis was used in coding, extraction and analysis of data. RESULTS: Only 28 studies had sufficiently detailed document analyses and met the inclusion criteria. Document analyses were mainly complimentary to primary data collection forms. The majority, barring four studies, lacked clear purpose and utility in answering the research questions, and rigour in methodology and the reporting thereof. The approach to document analyses bore no relationship to the policy phase investigated. Challenges in accessing documents contributed to methodological difficulties. CONCLUSION: Well-executed document analysis has potential to strengthen HPA studies. Health Policy researcher skill in applying this methodology needs strengthening and could be improved by: purposive alignment of the method to research questions; rigorously applying and reporting on search strategy with rigour; source, organize and store documents systematically; apply robust data coding and analysis; and clearly linking document contribution to study findings and conclusions.
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spelling pubmed-102978032023-06-28 The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review Kayesa, Naomi Karen Shung-King, Maylene Health Policy Open Original Article INTRODUCTION: Document analysis is commonly used in health policy analysis (HPA) studies, but the purpose and rigour of application is unclear. This review explored the application and utility of document analysis in HPA studies conducted in low-and-middle income countries (LMICs), intending to derive lessons for strengthening this methodology. METHODS: Employing a qualitative systematic review approach, nine electronic databases were searched for LMIC HPA articles that employed document analysis. Articles were subjected to systematic retrieval, storage and quality-assessment. Thematic analysis was used in coding, extraction and analysis of data. RESULTS: Only 28 studies had sufficiently detailed document analyses and met the inclusion criteria. Document analyses were mainly complimentary to primary data collection forms. The majority, barring four studies, lacked clear purpose and utility in answering the research questions, and rigour in methodology and the reporting thereof. The approach to document analyses bore no relationship to the policy phase investigated. Challenges in accessing documents contributed to methodological difficulties. CONCLUSION: Well-executed document analysis has potential to strengthen HPA studies. Health Policy researcher skill in applying this methodology needs strengthening and could be improved by: purposive alignment of the method to research questions; rigorously applying and reporting on search strategy with rigour; source, organize and store documents systematically; apply robust data coding and analysis; and clearly linking document contribution to study findings and conclusions. Elsevier 2020-12-15 /pmc/articles/PMC10297803/ /pubmed/37383492 http://dx.doi.org/10.1016/j.hpopen.2020.100024 Text en © 2020 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Kayesa, Naomi Karen
Shung-King, Maylene
The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review
title The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review
title_full The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review
title_fullStr The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review
title_full_unstemmed The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review
title_short The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review
title_sort role of document analysis in health policy analysis studies in low and middle-income countries: lessons for hpa researchers from a qualitative systematic review
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297803/
https://www.ncbi.nlm.nih.gov/pubmed/37383492
http://dx.doi.org/10.1016/j.hpopen.2020.100024
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