Alexandre Ho , Pauline Vagné , Alexandre Malmartel
{"title":"评估慢性疾病管理的临床指南:它们能实现个性化护理吗?","authors":"Alexandre Ho , Pauline Vagné , Alexandre Malmartel","doi":"10.1016/j.puhe.2024.11.023","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To described how general practitioners (GPs) personalize interventions for patients with chronic diseases and compare practice with the corresponding guidelines.</div></div><div><h3>Study design</h3><div>Scoping review followed by a multicentre cross-sectional study in French general practices.</div></div><div><h3>Methods</h3><div>We identified elements of personalization described in guidelines related to diabetes, hypertension, dyslipidaemia, insomnia and depression. Then, GPs completed questionnaires for pharmacological (PI) and non-pharmacological interventions (NPI) after any consultation for these diseases to collect: when, on which the variables (clinical, biological characteristics, etc.), how and by whom the interventions were personalized, and what was personalized in the interventions. Agreement between GPs' practices and guidelines was analyzed using Cohen's Kappa.</div></div><div><h3>Results</h3><div>We extracted 204 elements of personalization in 10 guidelines, and GPs described 1512 elements of personalization in 161 PI and 1313 elements in 131 NPI. Personalization was mainly based on patients' general characteristics (20.6 % of PT; 24.8 % of NPI) and treatments characteristics (14.5 % of PI; 9.8 % of NPI). GPs accounted for patients’ preferences in 64.6 % of PI and 79.4 % of NPI. For PI, the agreement between GPs and guidelines was globally low (kappa = 0.21[0.11; 0.31]) but moderate for treatment characteristics (kappa = 0.48 [0.09; 0.87]) and high for disease characteristics (kappa = 1.00[1.00; 1.00]). For NPI, agreement was globally very low (kappa = 0.16[0.10; 0.25]) but moderate for treatment characteristics (kappa = 0.59[0.19; 1.00]) and disease characteristics (kappa = 0.48[0.12; 0.87]).</div></div><div><h3>Conclusions</h3><div>Guidelines insufficiently described the tailoring variables and the subsequent modifications of the interventions. They need to be better described to promote a medicine that is both personalized to each patient and homogeneous between physicians.</div></div>","PeriodicalId":49651,"journal":{"name":"Public Health","volume":"238 ","pages":"Pages 131-138"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating clinical guidelines for chronic disease management: Do they enable the personalization of care?\",\"authors\":\"Alexandre Ho , Pauline Vagné , Alexandre Malmartel\",\"doi\":\"10.1016/j.puhe.2024.11.023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>To described how general practitioners (GPs) personalize interventions for patients with chronic diseases and compare practice with the corresponding guidelines.</div></div><div><h3>Study design</h3><div>Scoping review followed by a multicentre cross-sectional study in French general practices.</div></div><div><h3>Methods</h3><div>We identified elements of personalization described in guidelines related to diabetes, hypertension, dyslipidaemia, insomnia and depression. Then, GPs completed questionnaires for pharmacological (PI) and non-pharmacological interventions (NPI) after any consultation for these diseases to collect: when, on which the variables (clinical, biological characteristics, etc.), how and by whom the interventions were personalized, and what was personalized in the interventions. Agreement between GPs' practices and guidelines was analyzed using Cohen's Kappa.</div></div><div><h3>Results</h3><div>We extracted 204 elements of personalization in 10 guidelines, and GPs described 1512 elements of personalization in 161 PI and 1313 elements in 131 NPI. Personalization was mainly based on patients' general characteristics (20.6 % of PT; 24.8 % of NPI) and treatments characteristics (14.5 % of PI; 9.8 % of NPI). GPs accounted for patients’ preferences in 64.6 % of PI and 79.4 % of NPI. For PI, the agreement between GPs and guidelines was globally low (kappa = 0.21[0.11; 0.31]) but moderate for treatment characteristics (kappa = 0.48 [0.09; 0.87]) and high for disease characteristics (kappa = 1.00[1.00; 1.00]). For NPI, agreement was globally very low (kappa = 0.16[0.10; 0.25]) but moderate for treatment characteristics (kappa = 0.59[0.19; 1.00]) and disease characteristics (kappa = 0.48[0.12; 0.87]).</div></div><div><h3>Conclusions</h3><div>Guidelines insufficiently described the tailoring variables and the subsequent modifications of the interventions. They need to be better described to promote a medicine that is both personalized to each patient and homogeneous between physicians.</div></div>\",\"PeriodicalId\":49651,\"journal\":{\"name\":\"Public Health\",\"volume\":\"238 \",\"pages\":\"Pages 131-138\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0033350624004955\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033350624004955","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Evaluating clinical guidelines for chronic disease management: Do they enable the personalization of care?
Objective
To described how general practitioners (GPs) personalize interventions for patients with chronic diseases and compare practice with the corresponding guidelines.
Study design
Scoping review followed by a multicentre cross-sectional study in French general practices.
Methods
We identified elements of personalization described in guidelines related to diabetes, hypertension, dyslipidaemia, insomnia and depression. Then, GPs completed questionnaires for pharmacological (PI) and non-pharmacological interventions (NPI) after any consultation for these diseases to collect: when, on which the variables (clinical, biological characteristics, etc.), how and by whom the interventions were personalized, and what was personalized in the interventions. Agreement between GPs' practices and guidelines was analyzed using Cohen's Kappa.
Results
We extracted 204 elements of personalization in 10 guidelines, and GPs described 1512 elements of personalization in 161 PI and 1313 elements in 131 NPI. Personalization was mainly based on patients' general characteristics (20.6 % of PT; 24.8 % of NPI) and treatments characteristics (14.5 % of PI; 9.8 % of NPI). GPs accounted for patients’ preferences in 64.6 % of PI and 79.4 % of NPI. For PI, the agreement between GPs and guidelines was globally low (kappa = 0.21[0.11; 0.31]) but moderate for treatment characteristics (kappa = 0.48 [0.09; 0.87]) and high for disease characteristics (kappa = 1.00[1.00; 1.00]). For NPI, agreement was globally very low (kappa = 0.16[0.10; 0.25]) but moderate for treatment characteristics (kappa = 0.59[0.19; 1.00]) and disease characteristics (kappa = 0.48[0.12; 0.87]).
Conclusions
Guidelines insufficiently described the tailoring variables and the subsequent modifications of the interventions. They need to be better described to promote a medicine that is both personalized to each patient and homogeneous between physicians.
期刊介绍:
Public Health is an international, multidisciplinary peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health.