National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Access to Care (1)
- Blood Pressure (2)
- Care Management (1)
- Children/Adolescents (1)
- Chronic Conditions (7)
- Clinician-Patient Communication (1)
- Communication (1)
- COVID-19 (1)
- Decision Making (1)
- (-) Diabetes (15)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (7)
- Healthcare Delivery (1)
- (-) Health Information Technology (HIT) (15)
- Lifestyle Changes (1)
- Medication (1)
- Nursing (1)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- Patient Adherence/Compliance (2)
- Patient and Family Engagement (1)
- Patient Self-Management (7)
- Prevention (1)
- Primary Care (2)
- Quality Measures (1)
- Quality of Care (1)
- Social Determinants of Health (1)
- Telehealth (7)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 15 of 15 Research Studies DisplayedRodriguez DV, Lawrence K, Luu S
Development of a computer-aided text message platform for user engagement with a digital diabetes prevention program: a case study.
Investigators partnered with a Digital Diabetes Prevention Programs (dDPP) vendor to develop a personalized automatic message system (PAMS) to promote user engagement to the dDPP platform by sending messages on behalf of the user’s primary care provider. In this article, they discussed the design and development of their system, including key requirements and features, the technical architecture and build, and preliminary user testing.
AHRQ-funded; HS026120.
Citation: Rodriguez DV, Lawrence K, Luu S .
Development of a computer-aided text message platform for user engagement with a digital diabetes prevention program: a case study.
J Am Med Inform Assoc 2021 Dec 28;29(1):155-62. doi: 10.1093/jamia/ocab206..
Keywords: Telehealth, Health Information Technology (HIT), Diabetes, Prevention
Fuji KT, Abbott AA, Galt KA
A mixed-methods evaluation of standalone personal health record use by patients with type 2 diabetes.
The purpose of this study was to compare use of a standalone personal health records (PHRs) by patients with Type 2 diabetes to usual care through assessment of self-care behaviors, and short-term impact on social cognitive outcomes and hemoglobin A1c (HbA1c). Five themes emerged from the qualitative analysis describing participants' experiences with the PHR and identifying reasons for lack of engagement. Study findings revealed low PHR uptake and minimal impact on study outcomes, including lack of communication and information-sharing between patients and providers.
AHRQ-funded; HS018625.
Citation: Fuji KT, Abbott AA, Galt KA .
A mixed-methods evaluation of standalone personal health record use by patients with type 2 diabetes.
Perspect Health Inf Manag 2021 Fall;18(4):1e..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Patient Self-Management, Chronic Conditions, Patient and Family Engagement
Misra-Hebert AD, Hu B, Pantalone KM
Primary care health care use for patients with type 2 diabetes during the COVID-19 pandemic.
This study sought to examine factors associated with total and virtual primary care use for patients with type 2 diabetes (T2D) during the COVID-19 pandemic. This study used electronic medical records in the Cleveland Clinic Health System comparing prepandemic use from August 2019 to March 2020 (baseline period 0) to two pandemic periods: March to June 2020 (period 1) when in-person visits were converted to virtual; and July to November 2020 when in-person visits resumed (period 2). Demographic characteristics were obtained including age, sex, race, insurance type, median income estimated by zip code and baseline HbA1C. The study included 76,015 patients with T2D who completed a primary care visit in baseline period 0. Cohort median age was 66.2 years, 50.7% women, 21.7% Black, 71.0% White and 7.4 Other. Insurance distribution was 43.2% private, 46.5% Medicare, and 9.5% Medicaid. Median income was estimated at $59,000 and baseline HbA1C was ≤ 7% for 59.6% of patients. There were higher odds of Black patients, those with uncontrolled T2D, and those with Medicare and Medicare using virtual visits during the 2 postpandemic periods suggesting that virtual visits may be a preference for those groups. Older and male patients had lower odds of visit completion.
AHRQ-funded; HS024128.
Citation: Misra-Hebert AD, Hu B, Pantalone KM .
Primary care health care use for patients with type 2 diabetes during the COVID-19 pandemic.
Diabetes Care 2021 Sep;44(9):e173-e74. doi: 10.2337/dc21-0853..
Keywords: COVID-19, Diabetes, Primary Care, Telehealth, Health Information Technology (HIT), Healthcare Delivery, Access to Care, Chronic Conditions
Cemballi AG, Karter AJ, Schillinger D
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study.
This longitudinal study looked at trends in secure messaging (SM) use in health care system patient portals using a diverse cohort of diabetes patients enrolled in the ECLIPPSE study from 2006 to 2015. The authors found a 10-fold increase in overall messaging volume during that time period. A majority of patients were using SM by 2015, including those with lower income or with self-reported limited health literacy. At the beginning of the survey period more physicians than nurses were using SM, but that changed over time as well.
AHRQ-funded; HS026383.
Citation: Cemballi AG, Karter AJ, Schillinger D .
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study.
J Am Med Inform Assoc 2021 Jun 12;28(6):1252-58. doi: 10.1093/jamia/ocaa281..
Keywords: Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Oikonomidi T, Ravaud P, James A
AHRQ Author: Montori V
An international, mixed-methods study of the perceived intrusiveness of remote digital diabetes monitoring.
This paper describes an international online vignette-based survey to assess the relationship between remote digital monitoring (RDM) modalities for diabetes and intrusiveness in patients’ lives. The survey was conducted from February-June 2019 in 30 countries with 1010 participants. A total of 2680 vignette-assessments were completed with 52% on type 1 diabetes. Increased intrusiveness was associated with food monitoring compared with glucose- and PA-monitoring alone and permanent monitoring with real-time physician-generated feedback compared with monitoring for a week with feedback. Public-sector data handling was associated with decreased intrusiveness as compared with the private sector.
AHRQ-authored.
Citation: Oikonomidi T, Ravaud P, James A .
An international, mixed-methods study of the perceived intrusiveness of remote digital diabetes monitoring.
Mayo Clin Proc 2021 May;96(5):1236-47. doi: 10.1016/j.mayocp.2020.07.040..
Keywords: Telehealth, Health Information Technology (HIT), Diabetes, Chronic Conditions, Lifestyle Changes, Patient Self-Management
Oikonomidi T, Ravaud P, Cosson E
AHRQ Author: Montori V
Evaluation of patient willingness to adopt remote digital monitoring for diabetes management.
Investigators sought to identify the minimum effectiveness patients report they require to adopt 36 different remote digital monitoring (RDM) scenarios. Adults with type 1 or type 2 diabetes living in 30 countries assessed three randomly selected scenarios from a total of 36 that described different combinations of digital monitoring tools. The investigators found that patients required greater health benefits to adopt more intrusive RDM modalities, food monitoring, and real-time feedback by a health care professional. They recommended that patient monitoring devices be designed to be minimally intrusive.
AHRQ-authored.
Citation: Oikonomidi T, Ravaud P, Cosson E .
Evaluation of patient willingness to adopt remote digital monitoring for diabetes management.
JAMA Netw Open 2021 Jan;4(1):e2033115. doi: 10.1001/jamanetworkopen.2020.33115..
Keywords: Telehealth, Health Information Technology (HIT), Diabetes, Chronic Conditions, Care Management, Patient Self-Management, Patient Adherence/Compliance
Howland C, Despins L, Sindt J
Primary care clinic nurse activities with a telehealth monitoring system.
The purpose of this study was to evaluate differences in the types of nursing activities and communication processes reported in a primary care clinic between patients using a home-based monitoring system to electronically communicate self-monitored blood glucose and blood pressure values and those assuming usual care. Significant differences were identified for the direct care nursing activities of providing lifestyle and health education, medication adjustments, and patient follow-up, providing evidence of greater nursing activity reported in a primary care clinic in patients who utilized a home-based monitoring system.
AHRQ-funded; HS017035.
Citation: Howland C, Despins L, Sindt J .
Primary care clinic nurse activities with a telehealth monitoring system.
West J Nurs Res 2021 Jan;43(1):5-12. doi: 10.1177/0193945920923082..
Keywords: Telehealth, Health Information Technology (HIT), Blood Pressure, Primary Care, Clinician-Patient Communication, Communication, Patient Self-Management, Nursing, Patient-Centered Healthcare, Diabetes
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.
.
.
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.
.
.
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