ArticleJournal of the American Medical Informatics Association : JAMIA2018
Primary care provider adherence to an alert for intensification of diabetes blood pressure medications before and after the addition of a "chart closure" hard stop.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 26 citations in OpenAlex.
- Quality improvement project to reduce medicare 1-day write-offs due to inappropriate admission orders.BMC health services research · 2024Trial
- Remote monitoring of cognition in cirrhosis and encephalopathy: future opportunity and challenge.Metabolic brain disease · 2023Review
- Human-centered design of clinical decision support for management of hypertension with chronic kidney disease.BMC medical informatics and decision making · 2022Article
- Modulators Influencing Medication Alert Acceptance: An Explorative Review.Applied clinical informatics · 2022Review
- Wearable Bioimpedance Monitoring: Viewpoint for Application in Chronic Conditions.JMIR biomedical engineering · 2021Article
- The impact of electronic health record-integrated patient-generated health data on clinician burnout.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Clinical Decision Support and Implications for the Clinician Burnout Crisis.Yearbook of medical informatics · 2020Review
- Impact of a "Chart Closure" Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study.JMIR medical informatics · 2020Article
- Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions.JMIR mHealth and uHealth · 2019Article
- Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Objective: To evaluate provider responses to a narrowly targeted "Best Practice Advisory" (BPA) alert for the intensification of blood pressure medications for persons with diabetes before and after implementation of a "chart closure" hard stop, which is non-interruptive but demands an action or dismissal before the chart can be closed. Materials and Methods: We designed a BPA that fired alerts within an electronic health record (EHR) system during outpatient encounters for patients with diabetes when they had elevated blood pressures and were not on angiotensin receptor blocking medications. The BPA alerts were implemented in eight primary care practices within UCLA Health. We compared data on provider responses to the alerts before and after implementing a "chart closure" hard stop, and we conducted chart reviews to adjudicate each alert's appropriateness. Results: Providers responded to alerts more often after the "chart closure" hard stop was implemented (P < .001). Among 284 alert firings over 16 months, we judged 107 (37.7%) to be clinically unnecessary or inappropriate based on chart review. Among the remainder, which represent clear opportunities for treatment, providers ordered the indicated medication more often (41% vs 75%) after the "chart closure" hard stop was implemented (P = .001). Discussion: The BPA alerts for diabetes and blood pressure control achieved relatively high specificity. The "chart closure" hard stop improved provider attention to the alerts and was effective at getting patients treated when they needed it. Conclusion: Targeting specific omitted medication classes can produce relatively specific alerts that may reduce alert fatigue, and using a "chart closure" hard stop may prompt providers to take action without excessively disrupting their workflow.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.