National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Blood Pressure (1)
- Children/Adolescents (1)
- Chronic Conditions (5)
- (-) Diabetes (13)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (6)
- (-) Health Information Technology (HIT) (13)
- Health Insurance (1)
- Kidney Disease and Health (1)
- Lifestyle Changes (2)
- Medication (2)
- Outcomes (1)
- Patient Adherence/Compliance (3)
- Patient Self-Management (4)
- Payment (1)
- Prevention (1)
- Primary Care (1)
- Quality Measures (1)
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- Risk (1)
- Shared Decision Making (1)
- Social Determinants of Health (1)
- Telehealth (5)
- 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 13 of 13 Research Studies DisplayedGrauer A, Duran AT, Liyanage-Don NA
Association between telemedicine use and diabetes risk factor assessment and control in a primary care network.
The purpose of this retrospective cohort study was to explore whether there is a relationship between telemedicine use in primary care and risk factor assessment and control for patients with diabetes mellitus. The study included patients with diabetes mellitus ages 18-75 with a telemedicine visit in a primary care network between February 2020 and December 2020. Researchers evaluated whether low-density lipoprotein cholesterol (LDL-C), blood pressure (BP), and hemoglobin A1c (HbA1c) and were assessed for each patient. The study identified 1,824 patients with diabetes during the study period and found that telemedicine use was associated with a lower proportion of patients with all three risk factors assessed. The researchers concluded that telemedicine use was related with gaps in risk factor assessment for patients with diabetes during the COVID-19 pandemic.
AHRQ-funded; HS026121; HS024262.
Citation: Grauer A, Duran AT, Liyanage-Don NA .
Association between telemedicine use and diabetes risk factor assessment and control in a primary care network.
J Endocrinol Invest 2022 Sep;45(9):1749-56. doi: 10.1007/s40618-022-01814-6..
Keywords: Diabetes, Chronic Conditions, Telehealth, Health Information Technology (HIT), Primary Care, Risk
Roddy MK, Mayberry LS, Nair D
Exploring mHealth potential to improve kidney function: secondary analysis of a randomized trial of diabetes self-care in diverse adults.
This study examined whether REACH, a text message-delivered self-management support intervention, which focuses on medication adherence, diet, and exercise can significantly improve glycemic control in 506 chronic kidney disease (CKD) patients with Type 2 Diabetes (T2D). The authors used data from the trial to explore the intervention’s effect on change in estimated glomerular filtration rate (eGR) at 12 months in a subsample of 271 patients. Patients with proteinuria at baseline who received REACH had less worsening of eGFR.
AHRQ-funded; HS026395.
Citation: Roddy MK, Mayberry LS, Nair D .
Exploring mHealth potential to improve kidney function: secondary analysis of a randomized trial of diabetes self-care in diverse adults.
BMC Nephrol 2022 Aug 10;23(1):280. doi: 10.1186/s12882-022-02885-6..
Keywords: Telehealth, Health Information Technology (HIT), Patient Self-Management, Diabetes, Chronic Conditions, Kidney Disease and Health, Patient Adherence/Compliance
Brown SD, Hedderson MM, Gordon N
Reach, acceptability, and perceived success of a telehealth diabetes prevention program among racially and ethnically diverse patients with gestational diabetes: the gem cluster-randomized trial.
The purpose of this study was to describe overall and race/ethnicity-specific reach, acceptability, and perceived success from an effective telehealth diabetes prevention lifestyle program for patients with gestational diabetes mellitus, implemented in the Gestational Diabetes Effects on Moms (GEM) cluster-randomized controlled trial. An intervention of 13 telephone sessions and behavior change techniques (BCTs) in a healthcare system were tested by GEM. Survey respondents largely rated BCTs as very helpful. Black and White respondents reported more limited success reaching a healthy weight than Asian/Pacific Islander, Hispanic, and multiracial/other women. The researchers concluded that a telehealth diabetes prevention lifestyle program showed both reach and acceptability across racial/ethnic groups, and that similar interventions could encourage preventive care access and help reduce disparities in the risk for diabetes.
AHRQ-funded; HS019367.
Citation: Brown SD, Hedderson MM, Gordon N .
Reach, acceptability, and perceived success of a telehealth diabetes prevention program among racially and ethnically diverse patients with gestational diabetes: the gem cluster-randomized trial.
Transl Behav Med 2022 Jul 18;12(7):793-99. doi: 10.1093/tbm/ibac019..
Keywords: Diabetes, Chronic Conditions, Telehealth, Health Information Technology (HIT), Prevention, Lifestyle Changes
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, Shared 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
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
Osborn CY, Mayberry LS, Wallston KA
Understanding patient portal use: implications for medication management.
The authors sought to (1) understand who uses an existing patient portal and reasons for use and nonuse, (2) understand how portal users are using a portal to manage their medications, and (3) explore participants' ideas for improving portal functionality for medication management and adherence support. They found that patients use portals to manage their medications, are enthusiastic about further leveraging portals to support medication management and adherence, and those who use a portal more frequently have better glycemic control.
AHRQ-funded; HS018168; HS013833.
Citation: Osborn CY, Mayberry LS, Wallston KA .
Understanding patient portal use: implications for medication management.
J Med Internet Res 2013 Jul 3;15(7):e133. doi: 10.2196/jmir.2589.
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Keywords: Diabetes, Health Information Technology (HIT), Medication, Patient Adherence/Compliance, Web-Based