National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Behavioral Health (1)
- Blood Pressure (1)
- Care Management (2)
- Children/Adolescents (1)
- Depression (1)
- Diabetes (1)
- Electronic Health Records (EHRs) (3)
- Evidence-Based Practice (1)
- (-) Health Information Technology (HIT) (7)
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- (-) Primary Care (7)
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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.
Results
1 to 7 of 7 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
Cottrell EK, Gold R, Likumahuwa S
Using health information technology to bring social determinants of health into primary care: a conceptual framework to guide research.
The investigators recently proposed a conceptual framework to illustrate how health information technology can be used to bring social determinants of health information into primary care. In this paper, they describe how they are putting this conceptual model into practice within the OCHIN network of community health centers by highlighting examples of ongoing research, identifying knowledge gaps, and outlining a roadmap of future research to move the field forward.
Citation: Cottrell EK, Gold R, Likumahuwa S .
Using health information technology to bring social determinants of health into primary care: a conceptual framework to guide research.
AHRQ-funded; 233201500020I..
Keywords: Health Information Technology (HIT), Primary Care, Research Methodologies, Social Determinants of Health
Hanna RM, Fischer G, Conroy MB
Online lifestyle modification intervention: survey of primary care providers' attitudes and views.
The aim of this study was to evaluate the response of primary care providers (PCPs) to a referral model for implementing a year-long online intervention for weight loss to obese adult patients. The investigators suggest that understanding providers' views and barriers regarding the integration of online tools will facilitate widespread implementation of an online lifestyle modification intervention.
AHRQ-funded; HS018155.
Citation: Hanna RM, Fischer G, Conroy MB .
Online lifestyle modification intervention: survey of primary care providers' attitudes and views.
J Med Internet Res 2018 Jun 8;20(6):e167. doi: 10.2196/jmir.8616..
Keywords: Health Information Technology (HIT), Lifestyle Changes, Obesity, Primary Care, Provider
Hemler JR, Hall JD, Cholan RA
Practice facilitator strategies for addressing electronic health record data challenges for quality improvement: EvidenceNOW.
In this paper, the authors describe the strategies facilitators use to help practices perform quality improvement (QI) when complete or accurate performance data are not available. The investigators found facilitators faced practice-level EHR data challenges, such as a lack of clinical performance data, partial or incomplete clinical performance data, and inaccurate clinical performance data.
AHRQ-funded; HS023940.
Citation: Hemler JR, Hall JD, Cholan RA .
Practice facilitator strategies for addressing electronic health record data challenges for quality improvement: EvidenceNOW.
J Am Board Fam Med 2018 May-Jun;31(3):398-409. doi: 10.3122/jabfm.2018.03.170274..
Keywords: Electronic Health Records (EHRs), Quality Improvement, Evidence-Based Practice, Health Information Technology (HIT), Primary Care, Quality of Care
Cohen DJ, Dorr DA, Knierim K
Primary care practices' abilities and challenges in using electronic health record data for quality improvement.
Federal value-based payment programs require primary care practices to conduct quality improvement activities, informed by the electronic reports on clinical quality measures that their electronic health records (EHRs) generate. This study concluded that the current state of EHR measurement functionality may be insufficient to support federal initiatives that tie payment to clinical quality measures.
AHRQ-funded; HS023940.
Citation: Cohen DJ, Dorr DA, Knierim K .
Primary care practices' abilities and challenges in using electronic health record data for quality improvement.
Health Aff 2018 Apr;37(4):635-43. doi: 10.1377/hlthaff.2017.1254.
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Keywords: Electronic Health Records (EHRs), Primary Care, Quality Improvement, Quality of Care, Health Information Technology (HIT), Payment
Aalsma MC, Zerr AM, Etter DJ
Physician intervention to positive depression screens among adolescents in primary care.
The objective of this study was to determine the effectiveness of computer-based screening and physician feedback to guide adolescent depression management within primary care. The investigators found that when a computer-based decision support system algorithm focused on adolescent depression and was implemented in two primary care clinics, a majority of physicians utilized screening results to guide clinical care.
AHRQ-funded; HS022681.
Citation: Aalsma MC, Zerr AM, Etter DJ .
Physician intervention to positive depression screens among adolescents in primary care.
J Adolesc Health 2018 Feb;62(2):212-18. doi: 10.1016/j.jadohealth.2017.08.023..
Keywords: Care Management, Children/Adolescents, Shared Decision Making, Depression, Health Information Technology (HIT), Behavioral Health, Primary Care, Primary Care: Models of Care, Screening
Dorr DA, Cohen DJ, Adler-Milstein J
Data-driven diffusion of innovations: successes and challenges in 3 large-scale innovative delivery models.
This study assessed where data-driven innovation is occurring and where challenges lie. It found that implementation of some technological components of innovation (for example, electronic health records) has occurred among health care organizations, but core functions needed to use data to drive innovation are lacking. Deficits include the inability to extract and aggregate data from the records.
AHRQ-funded; HS023940.
Citation: Dorr DA, Cohen DJ, Adler-Milstein J .
Data-driven diffusion of innovations: successes and challenges in 3 large-scale innovative delivery models.
Health Aff 2018 Feb;37(2):257-65. doi: 10.1377/hlthaff.2017.1133.
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Keywords: Health Information Technology (HIT), Primary Care