{"title":"[Five Key Questions for Health Services Research: are SHI Claims Data Suitable for Your Research Project?]","authors":"Peter Ihle, Udo Schneider, Verena Vogt","doi":"10.1055/a-2098-3039","DOIUrl":null,"url":null,"abstract":"<p><p>Health services research examines the structures and processes of health care under everyday conditions. Routine data of the statutory health insurance (SHI) - the so-called routine practice data - represent real health care and are therefore an important data source for health services research. This paper presents 5 key questions that researchers and data-holding institutions can use to assess the suitability of this data source for answering their health services research question. The aim of these guiding questions is to generate a common understanding between researchers and data-holding institutions of the research project, the research objective, and the feasibility of implementation in health services research. The five guiding questions cover the formulation of the research question, the planned method, the target population, the relevant study periods, and the required information from SHI data. These methodologically oriented guiding questions are supplemented by the question of how the results of the research project could improve care. Thus, for researchers, the five guiding questions provide an initial structuring for data requests; for data-holding institutions, they provide a framework for considering possible involvement in or support of a research idea in health services research.</p>","PeriodicalId":47653,"journal":{"name":"Gesundheitswesen","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gesundheitswesen","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2098-3039","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/20 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Health services research examines the structures and processes of health care under everyday conditions. Routine data of the statutory health insurance (SHI) - the so-called routine practice data - represent real health care and are therefore an important data source for health services research. This paper presents 5 key questions that researchers and data-holding institutions can use to assess the suitability of this data source for answering their health services research question. The aim of these guiding questions is to generate a common understanding between researchers and data-holding institutions of the research project, the research objective, and the feasibility of implementation in health services research. The five guiding questions cover the formulation of the research question, the planned method, the target population, the relevant study periods, and the required information from SHI data. These methodologically oriented guiding questions are supplemented by the question of how the results of the research project could improve care. Thus, for researchers, the five guiding questions provide an initial structuring for data requests; for data-holding institutions, they provide a framework for considering possible involvement in or support of a research idea in health services research.
期刊介绍:
The health service informs you comprehensively and up-to-date about the most important topics of the health care system. In addition to guidelines, overviews and comments, you will find current research results and contributions to CME-certified continuing education and training. The journal offers a scientific discussion forum and a platform for communications from professional societies. The content quality is ensured by a publisher body, the expert advisory board and other experts in the peer review process.