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This article addresses the question of how climate change may affect health and to what extent real-world data can contribute to research in this topic area. Climate change is altering the environmental and living conditions of humankind, and has thus also become a relevant health problem. The increase in extreme weather events, changes in exposure to UV and air pollution, and the climate-associated spread of allergens or novel pathogens are significantly changing the spectrum of diseases and the need for medical care in the population. However, in Germany, only few findings on the consequences for the healthcare system and on particularly affected population groups exist so far. Real-world data (primary data, register data, and administrative data) in combination with environmental exposure data and other relevant data (e.g., socio-economic data) have the potential to significantly advance research on the health consequences of climate change. This paper identifies changes in environmental and living conditions and associated health risks. It describes the databases that are generally available for analysing health effects of climate change. A concrete example is used to show how individual health data (in this case claims data of the statutory health insurance), environmental exposure data and other data can be successfully combined. Finally, the article offers a comprehensive overview of open research questions that can be answered with real-world data., (© 2024. The Author(s).)

Background: Measuring the quality of provided healthcare presents many challenges, especially in the context of medical rehabilitation. Rehabilitation is based on a holistic biopsychosocial model of health that includes a person's long-term functioning; hence, outcome domains are very diverse. In Germany, rehabilitation outcomes are currently assessed via patient and physician surveys. Health insurance claims data has the potential to simplify current quality assurance procedures in Germany, since its comprehensive collection is federally mandated from every healthcare provider. By using a cross-sectoral approach, quality assessments in rehabilitation can be adjusted for the quality provided in previous sectors and individual patient risk factors., Methods: SEQUAR combines two studies: In a prospective longitudinal study, 600 orthopedic rehabilitation patients and their physicians are surveyed at 4 and 2 time points, respectively, throughout rehabilitation and a follow-up period of 6 months. The questionnaires include validated instruments used in the current best-practice quality assurance procedures. In a retrospective cohort study, a nationwide claims database with more than 312,000 orthopedic rehabilitation patients will be used to perform exploratory analysis for the identification of quality indicators. The identified SEQUAR claims data quality indicators will be calculated for our prospective study participants and tested for their ability to approximate or replace the currently used, best-practice quality indicators based on primary data., Discussion: The identified SEQUAR quality indicators will be used to draft a novel, state-of-the-art quality assurance procedure that reduces the administrative burden of current procedures. Further research into the applicability to other indications of rehabilitation is required., Trial Registration: WHO UTN: U1111-1276-7141; DRKS-ID: DRKS00028747 (Date of Registration in DRKS: 2022/08/10)., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Background: Tonsillectomy is a reasonable indication in the management of sore throat not responding to antibiotic treatment. This longitudinal patient-level study was conducted to estimate the impact of the German guideline for the management of tonsillitis which was published in 2015., Methods: Data of inpatient and outpatient healthcare were retrieved from a database provided by one of the largest German health insurance companies (i.e., Allgemeine Ortskrankenkassen). Procedures for the management of chronic tonsillitis (code: J35.0) between 2012 and 2018 were identified by operation codes (5-281.0; 5‑282.0). Primary care data concerning sore throat were identified by ICD-10 codes (J02; J03; J35.0) including antibiotic prescribing by associated data of the anatomic-therapeutic-chemical classification., Results: A total of 109,895 cases were eligible for analysis. The annual number of procedures had decreased by 50.3% within the study period. The continuous decrease was emphasized after 2015. The strongest decrease was registered in children (<10 years; -65.7%). Every second patients had received conservative treatment at the most in only one preoperative quarter., Conclusions: The impact of the German guideline on the management of sore throat on the annual number of tonsillectomies and common medical practice was limited. Antibiotic treatment appears not to play a major role when tonsillectomy is indicated., (© 2020. Springer Medizin Verlag GmbH, ein Teil von Springer Nature.)