National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Ambulatory Care and Surgery (1)
- Blood Pressure (1)
- Care Management (2)
- Children/Adolescents (1)
- Chronic Conditions (4)
- Clinician-Patient Communication (1)
- Decision Making (1)
- (-) Diabetes (14)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (8)
- (-) Health Information Technology (HIT) (14)
- Health Promotion (1)
- Health Services Research (HSR) (1)
- Low-Income (2)
- Medication (2)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- Patient Adherence/Compliance (2)
- Patient Self-Management (4)
- Practice Patterns (1)
- Prevention (1)
- Primary Care (2)
- Quality Measures (1)
- Quality of Care (3)
- Social Determinants of Health (1)
- Telehealth (3)
- Vulnerable Populations (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 14 of 14 Research Studies DisplayedMayberry LS, Lyles CR, Oldenburg B
mHealth interventions for disadvantaged and vulnerable people with type 2 diabetes.
The authors evaluate the impact of diabetes self-management interventions delivered via mobile device and/or Internet on glycemic control of disadvantaged/vulnerable adults with type 2 diabetes. They found evidence suggesting that digital interventions can improve diabetes control, healthcare utilization, and healthcare costs. More research to substantiate these early findings is recommended; the authors suggest that many issues remain in order to optimize the impact of digital interventions on the health outcomes of disadvantaged/vulnerable persons with diabetes.
AHRQ-funded; HS022408; HS025429.
Citation: Mayberry LS, Lyles CR, Oldenburg B .
mHealth interventions for disadvantaged and vulnerable people with type 2 diabetes.
Curr Diab Rep 2019 Nov 25;19(12):148. doi: 10.1007/s11892-019-1280-9.
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Keywords: Diabetes, Vulnerable Populations, Patient Self-Management, Telehealth, Health Information Technology (HIT), Patient-Centered Healthcare, Low-Income, Chronic Conditions
Althoff KN, Wong C, Hogan B
Mind the gap: observation windows to define periods of event ascertainment as a quality control method for longitudinal electronic health record data.
Under the hypothesis that use of electronic health records in health research may lead to false assumptions of complete event ascertainment, the authors of this article estimated "observation windows" (OWs) as a quality-control approach to reduce the likelihood of false assumption. The impact of OWs on estimating rates of type II diabetes mellitus from HIV clinical cohorts are demonstrated. Data from 16 HIV clinical cohorts to the NA-ACCORD were used to identify and evaluate OWs for an operationalized definition of diabetes occurrence. The authors conclude that OWs have utility as a quality-control approach to complete event ascertainment and help to improve the accuracy of estimates.
AHRQ-funded; 90047713.
Citation: Althoff KN, Wong C, Hogan B .
Mind the gap: observation windows to define periods of event ascertainment as a quality control method for longitudinal electronic health record data.
Ann Epidemiol 2019 May;33:54-63. doi: 10.1016/j.annepidem.2019.01.015..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Quality of Care
Wu SS, Chan KS, Bae J
Electronic clinical reminder and quality of primary diabetes care.
The goal of this retrospective cohort study was to examine the association of EMR's clinical reminder use with a comprehensive set of diabetes quality metrics in office-based physicians and within solo- versus multi-physician practices. Data on visits made by adults with diabetes were identified from the National Ambulatory Medical Care Survey and a multiple logistic regression was used to test for associations between clinical reminder use and recommended services by the American Diabetes Association. The researchers found no statistically significant relationship that suggests clinical reminder use improves diabetes process guidelines for solo practices, and they conclude that other resource efforts are needed to reduce gaps in primary diabetes care.
AHRQ-funded; HS000029.
Citation: Wu SS, Chan KS, Bae J .
Electronic clinical reminder and quality of primary diabetes care.
Prim Care Diabetes 2019 Apr;13(2):150-57. doi: 10.1016/j.pcd.2018.08.007..
Keywords: Care Management, Chronic Conditions, Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Quality of Care
Fontil V, McDermott K, Tieu L
Adaptation and feasibility study of a digital health program to prevent diabetes among low-income patients: results from a partnership between a digital health company and an academic research team.
Researchers collaborated with a digital health company to adapt a diabetes prevention program for low-income prediabetes patients at a large safety net clinic. They concluded that underserved prediabetic patients displayed high engagement and satisfaction with a digital diabetes prevention program despite lower digital literacy skills. The collaboration between researchers and a digital health company enabled iterative improvements in technology implementation to address challenges in low-income populations.
AHRQ-funded; HS022408.
Citation: Fontil V, McDermott K, Tieu L .
Adaptation and feasibility study of a digital health program to prevent diabetes among low-income patients: results from a partnership between a digital health company and an academic research team.
J Diabetes Res 2016;2016:8472391. doi: 10.1155/2016/8472391.
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Keywords: Diabetes, Health Information Technology (HIT), Low-Income, Prevention, Health Promotion
Chung S, Zhao B, Lauderdale D
Initiation of treatment for incident diabetes: evidence from the electronic health records in an ambulatory care setting.
The researchers examined patterns and predictors of initiation of treatment for incident diabetes in an ambulatory care setting in the US. They found that only half of patients were treated during the first year following diabetes incidence, and only 20% of patients received both medication prescription and lifestyle modification interventions.
AHRQ-funded; HS019815.
Citation: Chung S, Zhao B, Lauderdale D .
Initiation of treatment for incident diabetes: evidence from the electronic health records in an ambulatory care setting.
Prim Care Diabetes 2015 Feb;9(1):23-30. doi: 10.1016/j.pcd.2014.04.005..
Keywords: Ambulatory Care and Surgery, Care Management, Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Practice Patterns
Gatwood J, Balkrishnan R, Erickson SR
The impact of tailored text messages on health beliefs and medication adherence in adults with diabetes: a randomized pilot study.
The purpose of this pilot study was to test the effectiveness of tailored text messages focusing on improving medication adherence and health beliefs in adults with diabetes. It found that declines in medication adherence were observed in both groups over time but no significant differences were observed between groups or from baseline to the end of the active study period.
AHRQ-funded; HS021976.
Citation: Gatwood J, Balkrishnan R, Erickson SR .
The impact of tailored text messages on health beliefs and medication adherence in adults with diabetes: a randomized pilot study.
Res Social Adm Pharm 2016 Jan-Feb;12(1):130-40. doi: 10.1016/j.sapharm.2015.04.007.
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Keywords: Diabetes, Medication, Patient Adherence/Compliance, Health Information Technology (HIT), Clinician-Patient Communication
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