Optimizing Electronic Health Record Prompts With Behavioral Economics to Improve Prescribing for Older Adults
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 201
- 试验地点
- 2
- 主要终点
- Change in Inappropriate Prescribing
研究概览
简要总结
Prescribing of potentially unsafe medications for older adults is extremely common; benzodiazepines and sedative hypnotics are, for example, key drug classes frequently implicated in adverse health consequences for vulnerable older adults, such as confusion or sedation, leading to hospitalizations, falls, and fractures. Fortunately, most of these consequences are preventable. Physicians' lack of awareness of alternatives, ambiguous practice guidelines, and perceived pressure from patients or caregivers are among the reasons why these drugs are used more than might be optimal. Reducing inappropriate use of these drugs may be achieved through decision support tools for providers that are embedded in electronic health record (EHR) systems. While EHR strategies are widely used to support the informational needs of providers, these tools have demonstrated only modest effectiveness at improving prescribing. The effectiveness of these tools could be enhanced by leveraging principles of behavioral economics and related sciences.
详细描述
This is a cluster randomized control trial (RCT) to evaluate whether newly designed EHR-based tools designed using behavioral principles reduce inappropriate prescribing and adverse outcomes among older adults. This study will be conducted in outpatient primary care practices at Mass General Brigham (MGB), specifically Massachusetts General Hospital. MGB has a fully functional EHR, EpicCare, that supports computerized ordering of medications. MGB is comprised of 150 outpatient practices with over 1,800 physicians.
In this trial, approximately 190 primary care providers at MGH will be randomized to receive usual care or an active intervention. Providers randomized to one of the 2 selected treatment arms will receive an EHR tool to guide their care of eligible patients. They will be followed for 12 months. Providers randomized to usual care will receive no newly-designed EHR tool. Providers will receive these EHR tools for their patients who meet the following criteria: 1) older adults (aged 65 years or more), and 2) who have been prescribed at least 90 pills of benzodiazepine or sedative hypnotic or have been prescribed at least one active orders of at least 90 pills of two different anticholinergics in the last 180 days.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Primary care provider at Mass General Brigham
- •Providers will receive these EHR tools for their patients who meet the following criteria:
- •older adults (aged 65 years or more)
- •who have been prescribed at least 90 pills of benzodiazepine or sedative hypnotic in the last 180 days.
- •Outcomes will be measured on the patient level.
排除标准
- 未提供
结局指标
主要结局
Change in Inappropriate Prescribing
时间窗: Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant
This outcome is measured as a composite of 1) discontinuation of study high-risk medications (i.e., active discontinuation or lack of an order during follow-up) or 2) ordering a dose taper (for benzodiazepine or sedative hypnotics) using EHR data by the primary care provider included in the study arm. If any of these actions occurred by the primary care provider, then the patient was considered to have had a change in prescribing (i.e., a reduction in inappropriate prescribing). This outcome was measured as a binary outcome.
次要结局
- Quantity of High-risk Medication Prescribed(Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant)
- Cumulative Lorazepam Milligram Equivalents Prescribed(Each patient was assessed beginning from the date in which they were identified as eligible (i.e., meeting the inclusion criteria) until the end of a 16-month follow-up; the outcome time frame varied by participant)
研究者
Niteesh K. Choudhry, MD, PhD
Niteesh K. Choudhry, MD, PhD, Professor, Harvard Medical School
Brigham and Women's Hospital