National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Blood Pressure (1)
- Care Management (1)
- Clinical Decision Support (CDS) (1)
- Decision Making (1)
- (-) Diabetes (7)
- Elderly (1)
- (-) Electronic Health Records (EHRs) (7)
- Health Information Technology (HIT) (6)
- Health Insurance (1)
- Lifestyle Changes (2)
- Medication (2)
- Outcomes (1)
- Patient-Centered Outcomes Research (2)
- Patient Adherence/Compliance (1)
- Payment (1)
- Pregnancy (1)
- Primary Care (2)
- Racial and Ethnic Minorities (1)
- Risk (1)
- Social Determinants of Health (1)
- Women (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedPanattoni 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), Decision Making, Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT)
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.
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
Flory JH, Keating SJ, Siscovick D
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
Non-persistence may be a significant barrier to the use of metformin. The objective of this study was to assess reasons for metformin non-persistence, and whether initial metformin dosing or use of extended release (ER) formulations affect persistence to metformin therapy. The investigators concluded that their data supported the routine prescribing of low starting doses of metformin as a tool to improve persistence.
AHRQ-funded; HS023898.
Citation: Flory JH, Keating SJ, Siscovick D .
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
BMJ Open 2018 Jul 23;8(7):e021505. doi: 10.1136/bmjopen-2018-021505..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Patient Adherence/Compliance, Outcomes, Patient-Centered Outcomes Research, Risk
Hedderson MM, Brown SD, Ehrlich SF
A tailored letter based on electronic health record data improves gestational weight gain among women with gestational diabetes mellitus: the Gestational Diabetes' Effects on Moms (GEM) cluster-randomized controlled trial.
The purpose of this study was to evaluate whether a tailored letter improved gestational weight gain (GWG) and whether GWG mediated a multicomponent intervention's effect on postpartum weight retention among women with gestational diabetes mellitus (GDM). The authors concluded that a tailored electronic health record-based letter improved GWG, which mediated the effect of a multicomponent intervention in reducing postpartum weight retention.
AHRQ-funded; HS019367.
Citation: Hedderson MM, Brown SD, Ehrlich SF .
A tailored letter based on electronic health record data improves gestational weight gain among women with gestational diabetes mellitus: the Gestational Diabetes' Effects on Moms (GEM) cluster-randomized controlled trial.
Diabetes Care 2018 Jul;41(7):1370-77. doi: 10.2337/dc17-1133..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Lifestyle Changes, Patient-Centered Outcomes Research, Pregnancy, Women
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.
.
.
Keywords: Diabetes, Elderly, Electronic Health Records (EHRs), Primary Care
Graetz I, Huang J, Brand RJ
Bridging the digital divide: mobile access to personal health records among patients with diabetes.
The authors examined personal health record (PHR) use through a computer-based Web browser or mobile device. They found that mobile-ready PHRs may increase access among patients facing a digital divide in computer use, disproportionately reaching racial/ethnic minorities and lower socioeconomic status patients. They recommend continued efforts to increase equitable access to PHRs among patients with chronic conditions.
AHRQ-funded; HS015280.
Citation: Graetz I, Huang J, Brand RJ .
Bridging the digital divide: mobile access to personal health records among patients with diabetes.
Am J Manag Care 2018 Jan;24(1):43-48..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Racial and Ethnic Minorities, Social Determinants of Health
Zhang M, Shubina M, Morrison F
Following the money: copy-paste of lifestyle counseling documentation and provider billing.
To find out whether copied documentation of lifestyle counseling was used to justify higher evaluation and management (E&M) charges, researchers investigated 12,527 patient encounters in which lifestyle counseling was documented. When time spent on counseling was recorded, copied lifestyle counseling was associated with a decrease of 70.5% in the odds of higher E&M charges.
AHRQ-funded; HS017030
Citation: Zhang M, Shubina M, Morrison F .
Following the money: copy-paste of lifestyle counseling documentation and provider billing.
BMC Health Serv Res. 2013 Oct 2;13:377. doi: 10.1186/1472-6963-13-377..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Insurance, Lifestyle Changes, Payment