{"title":"文件分析在低收入和中等收入国家卫生政策分析研究中的作用:定性系统评价给卫生政策研究人员的教训","authors":"Naomi Karen Kayesa, Maylene Shung-King","doi":"10.1016/j.hpopen.2020.100024","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>","PeriodicalId":34527,"journal":{"name":"Health Policy Open","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.hpopen.2020.100024","citationCount":"24","resultStr":"{\"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\",\"authors\":\"Naomi Karen Kayesa, Maylene Shung-King\",\"doi\":\"10.1016/j.hpopen.2020.100024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>\",\"PeriodicalId\":34527,\"journal\":{\"name\":\"Health Policy Open\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.hpopen.2020.100024\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Policy Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590229620300228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590229620300228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
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 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.