Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health (Ms Barragan and Ms Green); Community Clinic Association of Los Angeles County (Mr Moyer, Mr Cruz, and Ms Pogosyan); Department of Family Medicine, David Geffen School of Medicine at UCLA (Dr Kuo); Department of Epidemiology, UCLA Fielding School of Public Health (Dr Kuo); and Population Health Program, UCLA Clinical and Translational Science Institute, Los Angeles, California (Dr Kuo).
J Public Health Manag Pract. 2024;30:S119-S123. doi: 10.1097/PHH.0000000000001927. Epub 2024 Jul 22.
Treating patients with uncontrolled hypertension is a powerful intervention for reducing the risk of heart attack and stroke. Leveraging health information technology to identify patients with undiagnosed hypertension using algorithmic logic can be an effective approach for reaching hypertensive patients who may otherwise be overlooked. Despite evidence that this strategy can support favorable cardiovascular health outcomes in the safety-net healthcare setting, little is known about its implementation outside of targeted practice and research environments. In 2021-2022, Community Clinic Association of Los Angeles County and the Los Angeles County Department of Public Health collaborated on a mixed methods, organizational assessment of community health centers to better understand their practices and attitudes toward the use of algorithmic logic to identify patients with undiagnosed hypertension. Results from the assessment suggest that awareness and use of this approach are limited; numerous challenges are associated with its adoption and implementation.
治疗未控制的高血压患者是降低心脏病发作和中风风险的有力干预措施。利用健康信息技术，通过算法逻辑识别未确诊的高血压患者，可能是一种接触可能被忽视的高血压患者的有效方法。尽管有证据表明，这种策略可以在安全网医疗保健环境中支持有利的心血管健康结果，但在目标实践和研究环境之外，对其实施情况知之甚少。在 2021-2022 年期间，洛杉矶县社区诊所协会和洛杉矶县公共卫生部合作，对社区健康中心进行了一项混合方法、组织评估，以更好地了解他们在使用算法逻辑识别未确诊高血压患者方面的做法和态度。评估结果表明，对这种方法的认识和使用有限；其采用和实施存在许多挑战。
