National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Chronic Conditions (1)
- Clinician-Patient Communication (1)
- Communication (2)
- (-) Diabetes (6)
- Diagnostic Safety and Quality (2)
- Education: Patient and Caregiver (1)
- (-) Electronic Health Records (EHRs) (6)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (2)
- Lifestyle Changes (1)
- Medication (1)
- Patient-Centered Healthcare (1)
- Patient Adherence/Compliance (1)
- Patient and Family Engagement (1)
- Patient Safety (1)
- Practice Patterns (1)
- Vulnerable Populations (1)
- Web-Based (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 6 of 6 Research Studies DisplayedRatanawongsa N, Chan LL, Fouts MM
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, it presents evidence for the adoption of RxNorm and standardized naming and picklist options for high alert medications such as insulin.
AHRQ-funded; HS022561; HS023558.
Citation: Ratanawongsa N, Chan LL, Fouts MM .
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
J Diabetes Res 2017;2017:8983237. doi: 10.1155/2017/8983237.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Vulnerable Populations, Diabetes, Patient Safety, Chronic Conditions
Chung S, Panattoni L, Chi J
Can secure patient-provider messaging improve diabetes care?
The authors examined whether messaging with physicians for medical advice is associated with fewer face-to-face visits and better diabetes management. Patients with diabetes using an online portal were studied; 72% used messaging, and those who made frequent visits were also more likely to message. No messaging at all was negatively associated with the likelihood of meeting an HbA1c target. Among message users, additional messages were associated with better outcome, with a stronger relationship for noninsulin users. Physician-initiated messages had effects similar to those for patient-initiated messages.
AHRQ-funded; HS019815.
Citation: Chung S, Panattoni L, Chi J .
Can secure patient-provider messaging improve diabetes care?
Diabetes Care 2017 Oct;40(10):1342-48. doi: 10.2337/dc17-0140.
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Keywords: Communication, Diabetes, Clinician-Patient Communication, Electronic Health Records (EHRs)
Bowen ME, Merchant Z, Abdullah K
Patient, provider, and system factors associated with failure to follow-up elevated glucose results in patients without diagnosed diabetes.
Patient, provider, and system factors associated with failure to follow-up elevated glucose values in electronic medical records (EMRs) are not well described. The researchers conducted a chart review in a comprehensive EMR with a patient portal and results management features but found no associations between patient characteristics, diabetes risk factors, or provider characteristics and follow-up failures.
AHRQ-funded; HS022418.
Citation: Bowen ME, Merchant Z, Abdullah K .
Patient, provider, and system factors associated with failure to follow-up elevated glucose results in patients without diagnosed diabetes.
Health Serv Res Manag Epidemiol 2017 Aug 29;4:2333392817721647. doi: 10.1177/2333392817721647.
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Keywords: Diabetes, Electronic Health Records (EHRs), Web-Based, Patient-Centered Healthcare, Diagnostic Safety and Quality
Flory J, Gerhard T, Stempniewicz N
Comparative adherence to diabetes drugs: an analysis of electronic health records and claims data.
The objective of this brief report is to compare adherence rates for 6 major classes of diabetes medications: metformin, sulfonylurea, thiazolidinedione, basal insulin, DPP-4 inhibitors, and GLP-1 receptor agonists. The authors note that the rates at which diabetes drugs are prescribed, and the rates at which patients actually take them, differ substantially. The authors also note that the physicians should be aware of potentially significant challenges concerning adherence to newer agents.
AHRQ-funded; HS023898.
Citation: Flory J, Gerhard T, Stempniewicz N .
Comparative adherence to diabetes drugs: an analysis of electronic health records and claims data.
Diabetes Obes Metab 2017 Aug;19(8):1184-87. doi: 10.1111/dom.12931..
Keywords: Diabetes, Electronic Health Records (EHRs), Patient Adherence/Compliance, Practice Patterns, Medication
Brown SD, Grijalva CS, Ferrara A
Leveraging EHRs for patient engagement: perspectives on tailored program outreach.
Electronic health records (EHRs) present healthcare delivery systems with scalable, cost-effective opportunities to promote lifestyle programs among patients at high risk for type 2 diabetes, yet little consensus exists on strategies to enhance patient engagement. In this study, the investigators explored patient perspectives on program outreach messages containing content tailored to EHR-derived diabetes risk factors--a theory-driven strategy to increase the persuasiveness of health communications.
AHRQ-funded; HS019367.
Citation: Brown SD, Grijalva CS, Ferrara A .
Leveraging EHRs for patient engagement: perspectives on tailored program outreach.
Am J of Manag Care 2017 Jul;23(7):e223-e30..
Keywords: Diabetes, Communication, Education: Patient and Caregiver, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Lifestyle Changes, Patient and Family Engagement
Flory JH, Roy J, Gagne JJ
Missing laboratory results data in electronic health databases: implications for monitoring diabetes risk.
Researchers assessed the value of lab results added to diagnosis codes and dispensing claims to identify incident diabetes. Inclusion of lab results increased the number of diabetes outcomes identified by 21 percent. In settings where capture of lab results was relatively complete, the absence of lab results was associated with implausibly low rates of the outcome.
AHRQ-funded; HS023898.
Citation: Flory JH, Roy J, Gagne JJ .
Missing laboratory results data in electronic health databases: implications for monitoring diabetes risk.
J Comp Eff Res 2017 Jan;6(1):25-32. doi: 10.2217/cer-2016-0033.
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Keywords: Diabetes, Diagnostic Safety and Quality, Electronic Health Records (EHRs)