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评估慢性病管理的临床指南:它们能否实现个性化医疗?

Evaluating clinical guidelines for chronic disease management: Do they enable the personalization of care?

作者信息

Ho Alexandre, Vagné Pauline, Malmartel Alexandre

机构信息

Université de Paris, Département de Médecine Générale, F-75014, Paris, France.

Université de Paris, Département de Médecine Générale, F-75014, Paris, France; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004, Paris, France.

出版信息

Public Health. 2025 Jan;238:131-138. doi: 10.1016/j.puhe.2024.11.023. Epub 2024 Dec 8.

Abstract

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.

摘要

目的

描述全科医生(GP)如何为慢性病患者量身定制干预措施,并将实践与相应指南进行比较。

研究设计

范围综述,随后在法国全科医疗中进行多中心横断面研究。

方法

我们确定了与糖尿病、高血压、血脂异常、失眠和抑郁症相关的指南中描述的个性化要素。然后,全科医生在对这些疾病进行任何会诊后,完成关于药物干预(PI)和非药物干预(NPI)的问卷,以收集:何时、针对哪些变量(临床、生物学特征等)、如何以及由谁对干预措施进行个性化,以及干预措施中哪些内容被个性化了。使用科恩kappa系数分析全科医生的实践与指南之间的一致性。

结果

我们在10项指南中提取了204个个性化要素,全科医生在161项药物干预和131项非药物干预中描述了1512个个性化要素和1313个要素。个性化主要基于患者的一般特征(药物干预的20.6%;非药物干预的24.8%)和治疗特征(药物干预的14.5%;非药物干预的9.8%)。全科医生在64.6%的药物干预和79.4%的非药物干预中考虑了患者的偏好。对于药物干预,全科医生与指南之间的一致性总体较低(kappa = 0.21[0.11;0.31]),但对于治疗特征一致性中等(kappa = 0.48 [0.09;0.87]),对于疾病特征一致性较高(kappa = 1.00[1.00;1.00])。对于非药物干预,一致性总体非常低(kappa = 0.16[0.10;0.25]),但对于治疗特征一致性中等(kappa = 0.59[0.19;1.00]),对于疾病特征一致性中等(kappa = 0.48[0.12;0.87])。

结论

指南对定制变量和随后干预措施的修改描述不足。需要对其进行更好的描述,以促进一种既针对每个患者个性化又在医生之间保持一致的医学。

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