Exploring regional healthcare utilisation and quality of care for endometriosis in rural areas in Hesse, Germany: a mixed methods study protocol

Introduction: The need of a regional healthcare monitoring in order to evaluate quality and utilisation of health services in smaller scale is internationally and in Germany well established. Little is known about variation in healthcare in rural German areas, especially for women’s health. In parti...

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Auteurs principaux: Brauer, Lara, Geraedts, Max
Format: Article
Langue:anglais
Publié: Philipps-Universität Marburg 2023
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Résumé:Introduction: The need of a regional healthcare monitoring in order to evaluate quality and utilisation of health services in smaller scale is internationally and in Germany well established. Little is known about variation in healthcare in rural German areas, especially for women’s health. In particular, endometriosis is highly prevalent and known to be unsatisfactorily treated. Thus, this study aims to investigate utilisation and quality of care, the influence of structural determinants on quality and the patient’s experiences on endometriosis healthcare in rural Hesse. Methods and analysis: We will use a mixed methods approach to ensure reliable mapping of the care situation for endometriosis patients in seven counties in Central and Eastern Hesse. First, retrospective secondary utilisation data and quality indicators will be used to describe possible regional variation in the treatment of endometriosis in the outpatient and inpatient sector. Second, we compare structural determinants of regions with quality of care. Third, we conduct qualitative, semistructured interviews with endometriosis patients on their perspective and experiences in those chosen rural regions. Data will then be analysed using descriptive statistics, small area variation analyses and multifactorial analyses of variance (ANOVAs). The interview will be interpreted using the experience-focused phenomenological approach. Ethics and dissemination: The study has been approved by the ethics committee of Philipps-University Marburg. Utilisation data and structural determinants are anonymised and partly aggregated. The interview will use tokens for pseudonymisation to prevent the collected data from being assigned to an individual person. Also, informed consent will be obtained from patients.
Description:Gefördert durch den Open-Access-Publikationsfonds der UB Marburg.
DOI:10.1136/bmjopen-2023-074259