{"title":"患者报告经验措施(PREMs)的病例组合调整:为瑞士住院保健中心的基准做法提供信息的快速审查。","authors":"Katrina Obas, Chiara Storari, Francesca Giuliani","doi":"10.1186/s41687-025-00922-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>The rapid review aimed to analyse current practices and recommendations regarding case-mix adjustment for benchmarking Patient Reported Experience Measures (PREMs) across inpatient health centres. Findings will inform the applicability of case-mix adjustment to PREMs in the Swiss context.</p><p><strong>Methods: </strong>We searched PubMed, Embase, and Web of Science for studies which met the following criteria: PREMs is a main outcome, study from a European country with a national inpatient PREMs survey, study with adult patients in acute care setting, and evaluates the effect of case-mix adjustment on PREMs. Screening and appraisal were performed by an experienced epidemiologist. A narrative evidence synthesis was undertaken to address the review question, with support of tables to summarize evidence on case-mix variables and statistical methods.</p><p><strong>Results: </strong>Seven studies (n = 301,833) were included. All supported case-mix adjustment to some extent, though variables used for case mix varied, complicating standardization. Concerns included the risk of masking quality differences. To address this, several authors advocated reporting both adjusted and unadjusted scores. Only one study included language spoken as a case mix variable-a key factor in Switzerland.</p><p><strong>Discussion: </strong>Case-mix adjustment can enhance fairness in PREM-based benchmarking but must be applied cautiously. For multilingual contexts like Switzerland, local relevance of adjustment variables should be evaluated. A stepwise, transparent approach is recommended to avoid obscuring true performance differences.</p>","PeriodicalId":36660,"journal":{"name":"Journal of Patient-Reported Outcomes","volume":"9 1","pages":"90"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12259499/pdf/","citationCount":"0","resultStr":"{\"title\":\"Case-mix Adjustment of Patient Reported Experience Measures (PREMs): a rapid review to inform benchmarking practices across inpatient health centers in Switzerland.\",\"authors\":\"Katrina Obas, Chiara Storari, Francesca Giuliani\",\"doi\":\"10.1186/s41687-025-00922-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>The rapid review aimed to analyse current practices and recommendations regarding case-mix adjustment for benchmarking Patient Reported Experience Measures (PREMs) across inpatient health centres. Findings will inform the applicability of case-mix adjustment to PREMs in the Swiss context.</p><p><strong>Methods: </strong>We searched PubMed, Embase, and Web of Science for studies which met the following criteria: PREMs is a main outcome, study from a European country with a national inpatient PREMs survey, study with adult patients in acute care setting, and evaluates the effect of case-mix adjustment on PREMs. Screening and appraisal were performed by an experienced epidemiologist. A narrative evidence synthesis was undertaken to address the review question, with support of tables to summarize evidence on case-mix variables and statistical methods.</p><p><strong>Results: </strong>Seven studies (n = 301,833) were included. All supported case-mix adjustment to some extent, though variables used for case mix varied, complicating standardization. Concerns included the risk of masking quality differences. To address this, several authors advocated reporting both adjusted and unadjusted scores. Only one study included language spoken as a case mix variable-a key factor in Switzerland.</p><p><strong>Discussion: </strong>Case-mix adjustment can enhance fairness in PREM-based benchmarking but must be applied cautiously. For multilingual contexts like Switzerland, local relevance of adjustment variables should be evaluated. 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引用次数: 0
摘要
目的:快速审查的目的是分析关于住院保健中心的病人报告经验措施(PREMs)基准的病例组合调整的现行做法和建议。调查结果将说明在瑞士情况下对PREMs进行病例组合调整的适用性。方法:我们检索PubMed, Embase和Web of Science,寻找符合以下标准的研究:PREMs是主要结局,研究来自欧洲国家的全国住院患者PREMs调查,研究急性护理环境中的成年患者,并评估病例组合调整对PREMs的影响。筛查和鉴定由经验丰富的流行病学家进行。对审查问题进行了叙述性证据综合,并利用表格来总结关于病例混合变量和统计方法的证据。结果:纳入7项研究(n = 301,833)。所有这些都在一定程度上支持病例组合调整,尽管用于病例组合的变量各不相同,使标准化复杂化。担忧包括掩盖质量差异的风险。为了解决这个问题,一些作者主张报告调整和未调整的分数。只有一项研究将使用的语言作为病例混合变量——这在瑞士是一个关键因素。讨论:案例组合调整可以提高基于prem的基准测试的公平性,但必须谨慎应用。对于像瑞士这样的多语言环境,应该评估调整变量的本地相关性。建议采用逐步透明的方法来避免掩盖真正的性能差异。
Case-mix Adjustment of Patient Reported Experience Measures (PREMs): a rapid review to inform benchmarking practices across inpatient health centers in Switzerland.
Aim: The rapid review aimed to analyse current practices and recommendations regarding case-mix adjustment for benchmarking Patient Reported Experience Measures (PREMs) across inpatient health centres. Findings will inform the applicability of case-mix adjustment to PREMs in the Swiss context.
Methods: We searched PubMed, Embase, and Web of Science for studies which met the following criteria: PREMs is a main outcome, study from a European country with a national inpatient PREMs survey, study with adult patients in acute care setting, and evaluates the effect of case-mix adjustment on PREMs. Screening and appraisal were performed by an experienced epidemiologist. A narrative evidence synthesis was undertaken to address the review question, with support of tables to summarize evidence on case-mix variables and statistical methods.
Results: Seven studies (n = 301,833) were included. All supported case-mix adjustment to some extent, though variables used for case mix varied, complicating standardization. Concerns included the risk of masking quality differences. To address this, several authors advocated reporting both adjusted and unadjusted scores. Only one study included language spoken as a case mix variable-a key factor in Switzerland.
Discussion: Case-mix adjustment can enhance fairness in PREM-based benchmarking but must be applied cautiously. For multilingual contexts like Switzerland, local relevance of adjustment variables should be evaluated. A stepwise, transparent approach is recommended to avoid obscuring true performance differences.