Pradhan Apoorva, Wright Eric A, Hayduk Vanessa A, Berhane Juliana, Sponenberg Mallory, Webster Leeann, Anderson Hannah, Park Siyeon, Graham Jove, Friedenberg Scott
Center for Pharmacy Innovation and Outcomes, Geisinger, Danville, PA, United States.
Department of Bioethics and Decision Sciences, Geisinger, Danville, PA, United States.
JMIR Med Inform. 2024 Aug 29;12:e58456. doi: 10.2196/58456.
Headaches, including migraines, are one of the most common causes of disability and account for nearly 20%-30% of referrals from primary care to neurology. In primary care, electronic health record-based alerts offer a mechanism to influence health care provider behaviors, manage neurology referrals, and optimize headache care.
This project aimed to evaluate the impact of an electronic alert implemented in primary care on patients' overall headache management.
We conducted a stratified cluster-randomized study across 38 primary care clinic sites between December 2021 to December 2022 at a large integrated health care delivery system in the United States. Clinics were stratified into 6 blocks based on region and patient-to-health care provider ratios and then 1:1 randomized within each block into either the control or intervention. Health care providers practicing at intervention clinics received an interruptive alert in the electronic health record. The primary end point was a change in headache burden, measured using the Headache Impact Test 6 scale, from baseline to 6 months. Secondary outcomes included changes in headache frequency and intensity, access to care, and resource use. We analyzed the difference-in-differences between the arms at follow-up at the individual patient level.
We enrolled 203 adult patients with a confirmed headache diagnosis. At baseline, the average Headache Impact Test 6 scores in each arm were not significantly different (intervention: mean 63, SD 6.9; control: mean 61.8, SD 6.6; P=.21). We observed a significant reduction in the headache burden only in the intervention arm at follow-up (3.5 points; P=.009). The reduction in the headache burden was not statistically different between groups (difference-in-differences estimate -1.89, 95% CI -5 to 1.31; P=.25). Similarly, secondary outcomes were not significantly different between groups. Only 11.32% (303/2677) of alerts were acted upon.
The use of an interruptive electronic alert did not significantly improve headache outcomes. Low use of alerts by health care providers prompts future alterations of the alert and exploration of alternative approaches.
头痛,包括偏头痛,是导致残疾的最常见原因之一,占从初级保健转诊至神经科病例的近20%-30%。在初级保健中,基于电子健康记录的警报提供了一种机制,可影响医疗保健提供者的行为、管理神经科转诊并优化头痛护理。
本项目旨在评估在初级保健中实施的电子警报对患者整体头痛管理的影响。
2021年12月至2022年12月期间,我们在美国一个大型综合医疗保健系统的38个初级保健诊所站点进行了一项分层整群随机研究。诊所根据地区和患者与医疗保健提供者的比例分为6个区组,然后在每个区组内以1:1的比例随机分为对照组或干预组。在干预诊所执业的医疗保健提供者在电子健康记录中收到一个中断性警报。主要终点是使用头痛影响测试6量表测量的头痛负担从基线到6个月的变化。次要结果包括头痛频率和强度的变化、获得护理的情况以及资源使用情况。我们在个体患者层面分析了随访时两组之间差异的差异。
我们纳入了203名确诊头痛的成年患者。在基线时,每组的平均头痛影响测试6评分无显著差异(干预组:均值63,标准差6.9;对照组:均值61.8,标准差6.6;P=0.21)。我们在随访时仅在干预组中观察到头痛负担显著减轻(3.5分;P=0.009)。两组之间头痛负担的减轻在统计学上无差异(差异的差异估计值为-1.89,95%置信区间为-5至1.31;P=0.25)。同样,次要结果在两组之间无显著差异。只有11.32%(303/2677)的警报得到了处理。
使用中断性电子警报并未显著改善头痛结局。医疗保健提供者对警报的低使用率促使未来对警报进行调整并探索替代方法。