Evidence map›Paper›PMID 30060013›Full record

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.

Magaly Ramirez, Richard Maranon, Jeffery Fu, Janet S Chon, Kimberly Chen, Carol M Mangione, Gerardo Moreno, Douglas S Bell

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 26 citations in OpenAlex.

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  6. The impact of electronic health record-integrated patient-generated health data on clinician burnout.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Magaly RamirezDepartment of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, California, USA.
Richard MaranonDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Jeffery FuDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Janet S ChonDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Kimberly ChenMedical Informatics, University of California, Los Angeles Health System, Los Angeles, California, USA.
Carol M MangioneDepartment of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, California, USA.
Gerardo MorenoDepartment of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Douglas S BellDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
University of California, Los Angeles · USUCLA Health · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CATHERINE A SARKISIAN · 2002 to 2026
$19.7M
UCLA/RAND HEALTH SERVICES RESEARCH TRAINING PROGRAMT32HS000046 · AHRQ · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EISENBERG, DANIEL · 1992 to 2024
$8.7M
Health IT decision support to improve medication management safety and qualityK23AG042961 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MORENO, GERARDO · 2012 to 2016
$699k
AHRQ HHS T32 HS000046NCATS NIH HHS UL1 TR001881NIA NIH HHS K23 AG042961NIA NIH HHS P30 AG021684
6 · The paper itself

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.

Indexed as

Decision Support Systems, ClinicalGuideline AdherenceMedical Order Entry SystemsPhysicians, Primary CareAlert Fatigue, Health PersonnelAntihypertensive AgentsBlood PressureDiabetes ComplicationsElectronic Health RecordsHumansHypertensionAntihypertensive Agents

Identifiers

PMID30060013
PMCPMC6118864
OpenAlexW2884634082

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.