National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Blood Pressure (1)
- Care Management (1)
- Decision Making (1)
- (-) Diabetes (3)
- Elderly (2)
- Electronic Health Records (EHRs) (2)
- Evidence-Based Practice (1)
- Guidelines (1)
- Health Information Technology (HIT) (1)
- Medication (2)
- Patient-Centered Healthcare (1)
- Practice Patterns (1)
- (-) Primary Care (3)
- Provider (1)
- Provider: Clinician (1)
- Provider: Physician (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedRamirez M, Maranon R, Fu J
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.
The purpose of this study was to evaluate provider responses to a narrowly targeted Best Practice Advisory (BPA) alert regarding the intensification of blood pressure medications for persons with diabetes before and after implementation of a ‘chart closure’ hard stop. Researchers designed a BPA that sent alerts via an electronic health record system during outpatient encounters when patients with diabetes had elevated blood pressures and were not on angiotensin receptor blocking medications. These alerts were implemented in eight primary care practices within UCLA Health. Data on provider responses to the alerts was compared before and after implementing a ‘chart closure’ hard stop. Providers responded to alerts more often after the ‘chart closure’ hard stop was implemented. The researchers conclude that targeting specific omitted medication classes can produce specific alerts that may reduce alert fatigue, and that using a ‘chart closure’ hard stop may prompt providers to take action without major disruptions to their workflow.
AHRQ-funded; HS000046.
Citation: Ramirez M, Maranon R, Fu J .
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.
J Am Med Inform Assoc 2018 Sep;25(9):1167-74. doi: 10.1093/jamia/ocy073..
Keywords: Blood Pressure, Diabetes, Primary Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Care Management
McCreedy EM, Kane RL, Gollust SE
Patient-centered guidelines for geriatric diabetes care: potential missed opportunities to avoid harm.
Clinicians strive to deliver individualized, patient-centered care. However, these intentions are understudied. This research explored how patient characteristics associated with a high risk-to-benefit ratio with hypoglycemia medications affected decision making by primary care clinicians. The investigators found that primary care clinicians often chose to intensify glycemic control despite individual patient factors that warranted higher glycemic targets based on existing guidelines.
AHRQ-funded; HS000011.
Citation: McCreedy EM, Kane RL, Gollust SE .
Patient-centered guidelines for geriatric diabetes care: potential missed opportunities to avoid harm.
J Am Board Fam Med 2018 Mar-Apr;31(2):192-200. doi: 10.3122/jabfm.2018.02.170141..
Keywords: Diabetes, Elderly, Patient-Centered Healthcare, Guidelines, Evidence-Based Practice, Decision Making, Medication, Primary Care, Practice Patterns, Provider: Physician, Provider: Clinician, Provider
DuGoff EH, Walden E, Ronk K
Can claims data algorithms identify the physician of record?
This study sought to determine the agreement of the primary care physician (PCP) identified by claims algorithms with the PCP of record in electronic health record data. It concluded that researchers may be more likely to identify a patient's PCP when focusing on primary care visits only; however, these algorithms perform less well among vulnerable populations and those experiencing fragmented care.
AHRQ-funded; HS021899.
Citation: DuGoff EH, Walden E, Ronk K .
Can claims data algorithms identify the physician of record?
Med Care 2018 Mar;56(3):e16-e20. doi: 10.1097/mlr.0000000000000709.
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Keywords: Diabetes, Elderly, Electronic Health Records (EHRs), Primary Care