在患有 2 型糖尿病的年老体弱者中减少可能不适当的药物:分组随机对照试验(D-MED 研究)方案

IF 2.6 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Primary Care Diabetes Pub Date : 2024-04-01 DOI:10.1016/j.pcd.2023.12.001
Lauren O’Mahoney , Patrick Highton , Ruksar Abdala , Helen Dallosso , Clare L. Gillies , Seema Ragha , Fiona Munday , John Robinson , Andrew Marshall , James P. Sheppard , Kamlesh Khunti , Samuel Seidu
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引用次数: 0

摘要

目的在患有 2 型糖尿病(T2D)的老年人中,过度用药会导致救护车紧急出动、跌倒和骨折,并增加死亡率,尤其是体弱患者。然而,目前的临床指南仍侧重于加强用药,而不是酌情减少用药。本研究旨在评估电子决策支持系统和培训与 "常规 "护理相比,在 12 个月后对患有 T2D 的年老体弱者减少潜在不适当药物治疗的效果。被随机分配到 "强化护理 "组的全科医生诊所安装了电子决策支持系统,并接受了关于该工具和糖尿病药物减量的培训。该系统将符合条件的患者标记为可能减量使用糖尿病药物的患者,并将医护人员与临床算法联系起来。主要结果是在 12 个月时,有多少患者的糖尿病药物可能已被减量化。数据收集工作于 2023 年 1 月开始。结论涉及计算机决策系统的数字技术有可能减少不适当的用药,并有助于降低用药强度。网址:https://www.isrctn.com/ISRCTN53221378。
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Deintensification of potentially inappropriate medications amongst older frail people with type 2 diabetes: Protocol for a cluster randomised controlled trial (D-MED study)

Aims

Amongst elderly people with type 2 diabetes (T2D) over prescribing can result in emergency ambulance call-outs, falls and fractures and increased mortality, particularly in frail patients. Current clinical guidelines, however, remain focused on medication intensification rather than deintensification where appropriate. This study aims to evaluate the effectiveness of an electronic decision-support system and training for the deintensification of potentially inappropriate medications amongst older frail people with T2D, when compared to ‘usual’ care at 12-months.

Methods

This study is an open-label, multi-site, two-armed pragmatic cluster-randomised trial. GP practices randomised to the ‘enhanced care’ group have an electronic decision support system installed and receive training on the tool and de-intensification of diabetes medications. The system flags eligible patients for possible deintensification of diabetes medications, linking the health care professional to a clinical algorithm. The primary outcome will be the number of patients at 12-months who have had potentially inappropriate diabetes medications de-intensified.

Results

Study recruitment commenced in June 2022. Data collection commenced in January 2023. Baseline data have been extracted from 40 practices (3145 patients).

Conclusions

Digital technology, involving computer decision systems, may have the potential to reduce inappropriate medications and aid the process of de-intensification.

Trial registration

International Standard Randomised Controlled Trial Number: ISRCTN53221378. Available at: https://www.isrctn.com/ISRCTN53221378.

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来源期刊
Primary Care Diabetes
Primary Care Diabetes ENDOCRINOLOGY & METABOLISM-PRIMARY HEALTH CARE
CiteScore
5.00
自引率
3.40%
发文量
134
审稿时长
47 days
期刊介绍: The journal publishes original research articles and high quality reviews in the fields of clinical care, diabetes education, nutrition, health services, psychosocial research and epidemiology and other areas as far as is relevant for diabetology in a primary-care setting. The purpose of the journal is to encourage interdisciplinary research and discussion between all those who are involved in primary diabetes care on an international level. The Journal also publishes news and articles concerning the policies and activities of Primary Care Diabetes Europe and reflects the society''s aim of improving the care for people with diabetes mellitus within the primary-care setting.
期刊最新文献
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