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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedRamirez M, Chen K, Follett RW
Impact of a "chart closure" hard stop alert on prescribing for elevated blood pressures among patients with diabetes: quasi-experimental study.
The aim of the study was to evaluate whether the implementation of the Best Practice Advisory (BPA) was associated with changes in angiotensin-converting enzyme inhibitor (ACEI) and angiotensin-receptor blocker (ARB) prescribing during primary care encounters for patients with diabetes. The investigators concluded that a BPA with a "chart closure" hard stop is a promising tool for the treatment of patients with comorbid diabetes and hypertension with an ACEI or ARB, especially when implemented within the context of team-based care, wherein clinical pharmacists support the work of primary care providers.
AHRQ-funded; HS00046.
Citation: Ramirez M, Chen K, Follett RW .
Impact of a "chart closure" hard stop alert on prescribing for elevated blood pressures among patients with diabetes: quasi-experimental study.
JMIR Med Inform 2020 Apr 17;8(4):e16421. doi: 10.2196/16421..
Keywords: Blood Pressure, Medication, Diabetes, Clinical Decision Support (CDS), Shared Decision Making, Chronic Conditions
Panattoni L, Chan A, Yang Y
Nudging physicians and patients with autopend clinical decision support to improve diabetes management.
This study’s objective was to determine the impact on routine glycalated hemoglobin (A1C) laboratory test completion of incorporating an autopend laboratory order functionality into clinical decision support. The clinical decision support includes 1) routing provider alerts to a separate electronic folder, 2) automatically populating preauthorization forms, and 3) linking the timing and content of electronic patient health maintenance topic (HMT) reminders to the provider authorization. The likelihood of A1C laboratory test completion increased after autopend by between 21% to 33.9%.
AHRQ-funded; HS019167.
Citation: Panattoni L, Chan A, Yang Y .
Nudging physicians and patients with autopend clinical decision support to improve diabetes management.
Am J Manag Care 2018 Oct;24(10):479-83..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT)