National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Blood Pressure (1)
- Children/Adolescents (1)
- Chronic Conditions (3)
- Decision Making (1)
- (-) Diabetes (12)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (7)
- (-) Health Information Technology (HIT) (12)
- Home Healthcare (1)
- Lifestyle Changes (1)
- Medication (2)
- Outcomes (1)
- Patient Adherence/Compliance (1)
- Patient Self-Management (5)
- Primary Care (1)
- Quality Measures (1)
- Quality of Care (1)
- Rural Health (1)
- Social Determinants of Health (1)
- Telehealth (3)
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 12 of 12 Research Studies DisplayedLepard MG, Joseph AL, Agne AA
Diabetes self-management interventions for adults with type 2 diabetes living in rural areas: a systematic literature review.
The authors systematically reviewed the evidence for the impact of diabetes self-management education interventions designed for patients living in rural areas on glycemic control and other diabetes outcomes. They were able to identify examples of both telehealth interventions and face-to-face interventions that resulted in improved behavioral, biologic, and diabetes knowledge-related outcomes in adults with T2DM living in rural areas.
AHRQ-funded; HS019465.
Citation: Lepard MG, Joseph AL, Agne AA .
Diabetes self-management interventions for adults with type 2 diabetes living in rural areas: a systematic literature review.
Curr Diab Rep 2015 Jun;15(6):608. doi: 10.1007/s11892-015-0608-3..
Keywords: Diabetes, Patient Self-Management, Rural Health, Telehealth, Health Information Technology (HIT)
Hosomura N, Goldberg SI, Shubina M
Electronic documentation of lifestyle counseling and glycemic control in patients with diabetes.
The aim of this study was to establish quantitative characteristics of documentation of lifestyle counseling that are associated with improved glycemic control in patients with diabetes, using a previously validated natural language processing system that enables abstraction of lifestyle counseling documentation from narrative electronic provider notes. It identified novel quantitative characteristics of electronic documentation of lifestyle counseling that are associated with improved glycemic control in patients with diabetes.
AHRQ-funded; HS017030.
Citation: Hosomura N, Goldberg SI, Shubina M .
Electronic documentation of lifestyle counseling and glycemic control in patients with diabetes.
Diabetes Care 2015 Jul;38(7):1326-32. doi: 10.2337/dc14-2016..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Lifestyle Changes
Herrin J, da Graca B, Aponte P
Impact of an EHR-based diabetes management form on quality and outcomes of diabetes care in primary care practices.
The researchers assessed the impact of a diabetes management form (DMF) accessible within an electronic health record on the quality and outcomes of diabetes care. They found that although tests (microalbumin, eye and foot exams) increased more for DMF-exposed patients, these patients had less improvement in achieving outcomes.
AHRQ-funded; HS020696
Citation: Herrin J, da Graca B, Aponte P .
Impact of an EHR-based diabetes management form on quality and outcomes of diabetes care in primary care practices.
Am J Med Qual. 2015 Jan-Feb;30(1):14-22. doi: 10.1177/1062860613516991..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Chronic Conditions
Casper GR, Flatley Brennan P, Perreault JO
vizHOME--a context-based home assessment: preliminary implications for informatics.
The focus of this paper is on the first phase of the vizHOME study, specifically on the exploration and documentation of the individual’s performance of self-management tasks including such things as medication management and use of a monitoring device. The researchers learned from the participants that while the tools may perform satisfactorily in usability assessment, they may not meet the needs of many users.
AHRQ-funded; HS022548.
Citation: Casper GR, Flatley Brennan P, Perreault JO .
vizHOME--a context-based home assessment: preliminary implications for informatics.
Stud Health Technol Inform 2015;216:842-6..
Keywords: Diabetes, Patient Self-Management, Home Healthcare, Health Information Technology (HIT), Medication
Heisler M, Choi H, Palmisano G
Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-health tools versus print materials: a randomized, controlled trial.
This study compared outcomes between community health worker (CHW) use of a tailored, interactive, Web-based, tablet computer-delivered tool specifically developed for the study and use of printed educational materials. In a population of low-income Latino and African American adults with diabetes and relatively low levels of formal education, participants in both CHW-led interventions reported mostly similar improvements in outcomes over 3 months.
AHRQ-funded; HS019256
Citation: Heisler M, Choi H, Palmisano G .
Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-health tools versus print materials: a randomized, controlled trial.
Ann Intern Med. 2014 Nov 18;161(10 Suppl):S13-22. doi: 10.7326/m13-3012..
Keywords: Health Information Technology (HIT), Diabetes, Decision Making, Outcomes, Social Determinants of Health
Nundy S, Mishra A, Hogan P
How do mobile phone diabetes programs drive behavior change? Evidence from a mixed methods observational cohort study.
The purpose of this study was to investigate the behavioral effects of a theory-driven, mobile phone–based intervention that combines automated text messaging and remote nursing, using an automated, interactive text messaging system. It found that the intervention was associated with improvements in 5 of 6 domains of self-care (medication taking, glucose monitoring, foot care, exercise, and healthy eating).
AHRQ-funded; HS015054.
Citation: Nundy S, Mishra A, Hogan P .
How do mobile phone diabetes programs drive behavior change? Evidence from a mixed methods observational cohort study.
Diabetes Educ 2014 Nov-Dec;40(6):806-19. doi: 10.1177/0145721714551992..
Keywords: Diabetes, Health Information Technology (HIT), Patient Self-Management, Telehealth
Benkert R, Dennehy P, White J
Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record.
The authors described what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics. They found that utilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care delivery models.
AHRQ-funded; HS017191.
Citation: Benkert R, Dennehy P, White J .
Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record.
Appl Clin Inform 2014 Aug 20;5(3):757-72. doi: 10.4338/aci-2014-03-ra-0019.
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Keywords: Diabetes, Blood Pressure, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality of Care, Chronic Conditions
Hirsch AG, Scheck McAlearney A
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
The authors examined the use of electronic health record (EHR) data for diabetes performance measurement. They found that diabetes performance measures are influenced by the data elements used to identify patients. They recommended that as EHR data are used increasingly to measure performance, continuing to improve our understanding of how EHR data are collected and used will be critical.
AHRQ-funded; HS020165.
Citation: Hirsch AG, Scheck McAlearney A .
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
Am J Med Qual 2014 Jul-Aug;29(4):292-9. doi: 10.1177/1062860613500808.
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Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Measures
Schmittdiel JA, Raebel MA, Dyer W
Prescription medication burden in patients with newly diagnosed diabetes: a SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) study.
The purpose of this study is to use electronic health records to examine how many classes of drugs are used by newly diagnosed patients with diabetes immediately before and after the diagnosis of diabetes. Before diagnosis, these patients are using an average of 5 drug classes, and afterwards, use rises to an average of 6.6. Between 2005 and 2009, the average number of drug classes used after diagnosis decreased slightly.
AHRQ-funded; HS01985
Citation: Schmittdiel JA, Raebel MA, Dyer W .
Prescription medication burden in patients with newly diagnosed diabetes: a SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) study.
J Am Pharm Assoc 2014 Jul-Aug;54(4):374-82. doi: 10.1331/JAPhA.2014.13195..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Medication
Nundy S, Dick JJ, Chou CH
Mobile phone diabetes project led to improved glycemic control and net savings for Chicago plan participants.
Mobile phones are a promising tool to use in engaging patients in behavior change and facilitating self-care between visits. The researchers examined the impact of a six-month mobile health (mHealth) demonstration project among adults with diabetes. In addition to pre-post improvements in glycemic control and patients’ satisfaction with overall care, they observed a net cost savings of 8.8 percent.
AHRQ-funded; HS000084.
Citation: Nundy S, Dick JJ, Chou CH .
Mobile phone diabetes project led to improved glycemic control and net savings for Chicago plan participants.
Health Aff 2014 Feb;33(2):265-72. doi: 10.1377/hlthaff.2013.0589..
Keywords: Diabetes, Health Information Technology (HIT), Patient Adherence/Compliance, Patient Self-Management, Telehealth
Fuji KT, Abbott AA, Galt KA
Personal health record design: qualitative exploration of issues inhibiting optimal use.
Few studies have examined the barriers to personal health record (PHR) use resulting from design issues identified by actual users. The researchers conducted interviews with 59 patients who had received training in using Microsoft Health Vault for PHRs to manage their diabetes-related health information. Three barriers to use (difficulty of use, lack of value, life got in the way) could be traced back to PHR design considerations.
AHRQ-funded; HS018625.
Citation: Fuji KT, Abbott AA, Galt KA .
Personal health record design: qualitative exploration of issues inhibiting optimal use.
Diabetes Care 2014;37(1):e13-4. doi: 10.2337/dc13-1630..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Self-Management
Lawrence JM, Black MH, Zhang JL
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
The researchers explored the utility of different algorithms for diabetes case identification by using electronic health records. They found that case identification accuracy was highest in 75% of bootstrapped samples for those who had 1 or more outpatient diabetes diagnoses or 1 or more insulin prescriptions and in 25% of samples for those who had 2 or more outpatient diabetes diagnoses and 1 or more antidiabetic medications.
AHRQ-funded; HS019859.
Citation: Lawrence JM, Black MH, Zhang JL .
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
Am J Epidemiol 2014 Jan;179(1):27-38. doi: 10.1093/aje/kwt230..
Keywords: Children/Adolescents, Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality