Vidonscky Lüthold Renata, Jungo Katharina Tabea, Weir Kristie Rebecca, Adler Limor, Asenova Radost, Ares-Blanco Sara, Bleckwenn Markus, Frese Thomas, Henrard Gilles, Jennings Aisling A, Kurpas Donata, Lazic Vanja, Lingner Heidrun, Mannheimer Stina, Pereira Anabela, Petrazzuoli Ferdinando, Poortvliet Rosalinde K E, Szélvári Ágnes, Wild Dorothea, Reeve Emily, Rozsnyai Zsofia, Streit Sven
Institute of Primary Health Care, University of Bern, Bern, Switzerland.
Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
JAMA Netw Open. 2025 Feb 3;8(2):e2457498. doi: 10.1001/jamanetworkopen.2024.57498.
Better understanding of patients' attitudes toward deprescribing specific medications will inform future deprescribing interventions.
To investigate older adults' attitudes toward deprescribing by investigating which medications they would like to have deprescribed, the reasons why, and patient factors associated with interest in deprescribing.
DESIGN, SETTING, AND PARTICIPANTS: This survey study was conducted from May 2022 to December 2023 in primary care settings in 14 countries. Patients aged 65 years or older taking 5 or more medications were consecutively recruited by their general practitioner (GP) and completed the questionnaire.
Patient characteristics, including gender, number of medications, GP gender, education level, financial status, confidence in completing medical forms, self-rated health, satisfaction with medications, trust in the GP, and country.
The primary outcomes were patient attitudes toward deprescribing specific medications, as measured by responses to the question, "Thinking about your current medication list, are there any medications that you would like to stop taking or reduce the dose of?" Multilevel multivariable logistic regression analysis was used, adjusted for clustering effect at the country level, to investigate the association between patient characteristics and interest in deprescribing.
Of 1340 patients (mean [SD], 96 [47] patients per country), 736 (55%) were women, 580 (44%) had secondary school as their highest level of education, 1089 (82%) were satisfied with their medications, and 589 (44%) expressed they would like to deprescribe 1 or more of their medications. Patients expressed interest in deprescribing specific medications at varying levels, from 79% (86 of 109 patients) in Poland to 23% (21 of 96 patients) in Bulgaria. The 3 most reported medications patients would like to have deprescribed were diuretics (111 of 1002 medications [11%]), lipid-modifying agents (109 of 1002 medications [11%]), and agents acting on the renin-angiotensin system (83 of 1002 medications [8%]). The odds of naming at least 1 specific medication for deprescribing were lower for patients with higher medication satisfaction (odds ratio, 0.31; 95% CI, 0.21-0.47) and for patients with higher trust in their GP (odds ratio, 0.960; 95% CI, 0.930-0.998).
In this survey study with primary care patients aged 65 years and older, patient attitudes toward deprescribing specific medications varied across countries, demonstrating that deprescribing interventions could be more impactful when adapted to specific settings and contexts. These findings highlight the importance of patient-practitioner communication in ensuring appropriate medication use.
更好地了解患者对停用特定药物的态度将为未来的减药干预提供依据。
通过调查老年人希望停用哪些药物、原因以及与减药意愿相关的患者因素,来研究他们对减药的态度。
设计、背景和参与者:这项调查研究于2022年5月至2023年12月在14个国家的基层医疗环境中进行。年龄在65岁及以上且服用5种或更多药物的患者由其全科医生连续招募,并完成问卷。
患者特征,包括性别、药物数量、全科医生性别、教育水平、财务状况、填写医疗表格的信心、自评健康状况、对药物的满意度、对全科医生的信任以及国家。
主要结局是患者对停用特定药物的态度,通过对“考虑你目前的用药清单,是否有任何药物你想停止服用或减少剂量?”这个问题的回答来衡量。采用多水平多变量逻辑回归分析,并对国家层面的聚类效应进行调整,以研究患者特征与减药意愿之间的关联。
在1340名患者中(平均[标准差],每个国家96[47]名患者),736名(55%)为女性,580名(44%)最高学历为中学,1089名(82%)对其药物满意,589名(44%)表示他们想停用1种或更多药物。患者对停用特定药物的意愿程度各不相同,从波兰的79%(109名患者中的86名)到保加利亚的23%(96名患者中的21名)。患者最希望停用的3种药物是利尿剂(1002种药物中的111种[11%])、调脂药(1002种药物中的109种[11%])和作用于肾素 - 血管紧张素系统的药物(1002种药物中的83种[8%])。药物满意度较高的患者(优势比,0.31;95%置信区间,0.21 - 0.47)和对全科医生信任度较高(优势比,0.960;95%置信区间,0.930 - 0.998)的患者提及至少1种特定减药药物的可能性较低。
在这项针对65岁及以上基层医疗患者的调查研究中,患者对停用特定药物的态度因国家而异,表明减药干预在适应特定环境和背景时可能更有成效。这些发现凸显了医患沟通在确保合理用药方面的重要性。