{"title":"量化德国的低价值医疗:使用 2018 年至 2021 年法定医疗保险数据进行观察研究。","authors":"Meik Hildebrandt, Carolina Pioch, Lotte Dammertz, Peter Ihle, Monika Nothacker, Udo Schneider, Enno Swart, Reinhard Busse, Verena Vogt","doi":"10.1016/j.jval.2024.10.3852","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Low-value care refers to medical services whose benefits do not outweigh the costs and potential harm. This study estimates the prevalence, distribution, and associated costs of 24 low-value care services within the German public healthcare system.</p><p><strong>Methods: </strong>Large-scale retrospective observational study using statutory health insurance data provided by the Techniker Krankenkasse (TK) spanning from 2018 to 2021 covering approximately 11.1 million insured individuals annually. The prevalence of 24 low-value service indicators, which were identified through a systematic review and expert consultations was calculated. To address uncertainties in distinguishing between appropriate and low-value care, both broad (potential overestimation) and narrow definitions (potential underestimation) were applied to all suitable indicators, providing a range within which the true extent of low-value care is expected to lie.</p><p><strong>Results: </strong>Between 2019 and 2021, 1.6 million patients were identified as having received at least one low-value service, using the 24 indicators. Of all 10.6 million delivered services (cases) examined, on average per year, 1.1 million cases (broad definition) and 0.43 million cases (narrow definition) were classified as low-value, corresponding to 10.4% and 4.0%, respectively. Costs incurred by the identified services were approximately 15.5 million euros (broad definition) and 9.9 million euros (narrow definition) annually.</p><p><strong>Conclusions: </strong>Despite the limitations of German statutory health insurance data, considerable low-value care was found within several of the 24 low-value-indicators. The findings highlight the necessity for targeted interventions to mitigate low-value care in Germany, guiding healthcare policy and practice to enhance quality and safety effectively.</p>","PeriodicalId":23508,"journal":{"name":"Value in Health","volume":" ","pages":""},"PeriodicalIF":4.9000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying low-value care in Germany: An observational study using statutory health insurance data from 2018 to 2021.\",\"authors\":\"Meik Hildebrandt, Carolina Pioch, Lotte Dammertz, Peter Ihle, Monika Nothacker, Udo Schneider, Enno Swart, Reinhard Busse, Verena Vogt\",\"doi\":\"10.1016/j.jval.2024.10.3852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Low-value care refers to medical services whose benefits do not outweigh the costs and potential harm. This study estimates the prevalence, distribution, and associated costs of 24 low-value care services within the German public healthcare system.</p><p><strong>Methods: </strong>Large-scale retrospective observational study using statutory health insurance data provided by the Techniker Krankenkasse (TK) spanning from 2018 to 2021 covering approximately 11.1 million insured individuals annually. The prevalence of 24 low-value service indicators, which were identified through a systematic review and expert consultations was calculated. To address uncertainties in distinguishing between appropriate and low-value care, both broad (potential overestimation) and narrow definitions (potential underestimation) were applied to all suitable indicators, providing a range within which the true extent of low-value care is expected to lie.</p><p><strong>Results: </strong>Between 2019 and 2021, 1.6 million patients were identified as having received at least one low-value service, using the 24 indicators. Of all 10.6 million delivered services (cases) examined, on average per year, 1.1 million cases (broad definition) and 0.43 million cases (narrow definition) were classified as low-value, corresponding to 10.4% and 4.0%, respectively. Costs incurred by the identified services were approximately 15.5 million euros (broad definition) and 9.9 million euros (narrow definition) annually.</p><p><strong>Conclusions: </strong>Despite the limitations of German statutory health insurance data, considerable low-value care was found within several of the 24 low-value-indicators. The findings highlight the necessity for targeted interventions to mitigate low-value care in Germany, guiding healthcare policy and practice to enhance quality and safety effectively.</p>\",\"PeriodicalId\":23508,\"journal\":{\"name\":\"Value in Health\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Value in Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jval.2024.10.3852\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Value in Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jval.2024.10.3852","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Quantifying low-value care in Germany: An observational study using statutory health insurance data from 2018 to 2021.
Objectives: Low-value care refers to medical services whose benefits do not outweigh the costs and potential harm. This study estimates the prevalence, distribution, and associated costs of 24 low-value care services within the German public healthcare system.
Methods: Large-scale retrospective observational study using statutory health insurance data provided by the Techniker Krankenkasse (TK) spanning from 2018 to 2021 covering approximately 11.1 million insured individuals annually. The prevalence of 24 low-value service indicators, which were identified through a systematic review and expert consultations was calculated. To address uncertainties in distinguishing between appropriate and low-value care, both broad (potential overestimation) and narrow definitions (potential underestimation) were applied to all suitable indicators, providing a range within which the true extent of low-value care is expected to lie.
Results: Between 2019 and 2021, 1.6 million patients were identified as having received at least one low-value service, using the 24 indicators. Of all 10.6 million delivered services (cases) examined, on average per year, 1.1 million cases (broad definition) and 0.43 million cases (narrow definition) were classified as low-value, corresponding to 10.4% and 4.0%, respectively. Costs incurred by the identified services were approximately 15.5 million euros (broad definition) and 9.9 million euros (narrow definition) annually.
Conclusions: Despite the limitations of German statutory health insurance data, considerable low-value care was found within several of the 24 low-value-indicators. The findings highlight the necessity for targeted interventions to mitigate low-value care in Germany, guiding healthcare policy and practice to enhance quality and safety effectively.
期刊介绍:
Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.