National Healthcare Quality and Disparities Report
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Topics
- Access to Care (1)
- Caregiving (2)
- Children/Adolescents (1)
- Chronic Conditions (3)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (1)
- Diabetes (3)
- Disparities (1)
- Elderly (3)
- Electronic Health Records (EHRs) (1)
- (-) Health Information Technology (HIT) (9)
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- Hospitals (1)
- Human Immunodeficiency Virus (HIV) (1)
- (-) Low-Income (9)
- Medicare (1)
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- Patient Self-Management (1)
- Prevention (1)
- Quality Improvement (1)
- Quality of Care (1)
- Racial and Ethnic Minorities (3)
- Social Determinants of Health (1)
- Telehealth (3)
- Tobacco Use (1)
- Tobacco Use: Smoking Cessation (1)
- Vulnerable Populations (2)
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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 9 of 9 Research Studies DisplayedHitsman B, Matthews PA, Papandonatos GD B, Matthews PA, Papandonatos GD
An EHR-automated and theory-based population health management intervention for smoking cessation in diverse low-income patients of safety-net health centers: a pilot randomized controlled trial.
The purpose of this study was to test the initial effectiveness of an electronic health record (EHR)-automated population health management (PHM) intervention for smoking cessation among adult patients. The researchers included 190 participants from a federally qualified health center in Chicago who self-identified as smokers as documented in the electronic health records and who completed a longitudinal "needs assessment of health behaviors to strengthen health programs and services” baseline survey. Participants were then randomly assigned to the PHM intervention (N=97) or the enhanced usual care (EUC) group (N=93). Primary outcomes were treatment engagement, utilization, and self-reported smoking cessation. In the PHM group, 25.8% of participants engaged in treatment, 21.6% used treatment, and 16.3% were abstinent at 28 weeks. There was no engagement of the quitline among EUC participants, and an abstinence rate of 6.4%. The researchers concluded that a PHM approach that can address unique barriers for low-income individuals may be an important addition to clinic-based care.
AHRQ-funded; HS021141.
Citation: Hitsman B, Matthews PA, Papandonatos GD B, Matthews PA, Papandonatos GD .
An EHR-automated and theory-based population health management intervention for smoking cessation in diverse low-income patients of safety-net health centers: a pilot randomized controlled trial.
Transl Behav Med 2022 Oct 7;12(9):892-99. doi: 10.1093/tbm/ibac026..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Tobacco Use, Tobacco Use: Smoking Cessation, Low-Income
Roberts ET, Mehrotra A
Assessment of disparities in digital access among Medicare beneficiaries and implications for telemedicine.
In this study, the investigators examined disparities in digital access (ie, access at home to technology that enables video telemedicine visits) among Medicare beneficiaries by socioeconomic and demographic characteristics. The investigators concluded that the proportion of beneficiaries who lacked digital access was higher among those with low socioeconomic status, those 85 years or older, and in communities of color.
AHRQ-funded; HS026727.
Citation: Roberts ET, Mehrotra A .
Assessment of disparities in digital access among Medicare beneficiaries and implications for telemedicine.
JAMA Intern Med 2020 Oct;180(10):1386-89. doi: 10.1001/jamainternmed.2020.2666..
Keywords: Elderly, Medicare, Telehealth, Health Information Technology (HIT), Disparities, Access to Care, Social Determinants of Health, Low-Income, Racial and Ethnic Minorities
Aguilera A, Figueroa CA, Hernandez-Ramos R
mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE study.
In this randomized controlled trial, the researchers’ goal is to examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. They will compare passively collected daily step counts, self-reported PHQ-8 and most recent hemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up. They plan to submit manuscripts describing their user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at scientific meetings.
AHRQ-funded; HS025429.
Citation: Aguilera A, Figueroa CA, Hernandez-Ramos R .
mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE study.
BMJ Open 2020 Aug 20;10(8):e034723. doi: 10.1136/bmjopen-2019-034723..
Keywords: Telehealth, Health Information Technology (HIT), Diabetes, Chronic Conditions, Racial and Ethnic Minorities, Low-Income, Health Promotion
Mayberry 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
Toomey SL, Elliott MN, Zaslavsky AM
Improving response rates and representation of hard-to-reach groups in family experience surveys.
This study examined the use of an audio-enabled tablet to survey parents of children discharged from 4 units of a children’s hospital. Normal mail survey response rates are very low, especially for black, Latino, and low-income respondents. This survey was done day of discharge at the hospital and there was a response rate of 71.1% via tablet versus 16.3% for mail only. The Child Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was used. Tablet response rates were highest with fathers, those more likely to have a high school education or less, less likely to be white, and more likely to be publicly insured. The results are promising for future surveys using tablet administration.
AHRQ-funded; HS020513; HS025299.
Citation: Toomey SL, Elliott MN, Zaslavsky AM .
Improving response rates and representation of hard-to-reach groups in family experience surveys.
Acad Pediatr 2019 May - Jun;19(4):446-53. doi: 10.1016/j.acap.2018.07.007..
Keywords: Caregiving, Children/Adolescents, Consumer Assessment of Healthcare Providers and Systems (CAHPS), Health Information Technology (HIT), Hospitals, Low-Income, Patient Experience, Quality of Care, Quality Improvement, Racial and Ethnic Minorities
Schnall R, Cho H, Mangone A
Mobile health technology for improving symptom management in low income persons living with HIV.
This study aimed to examine the impact of an mHealth application (app), comprised of evidence-based self-care strategies, on the symptom experience of persons living with HIV (PLWH). In this 12-week trial, an mHealth app, mobile Video Information Provider (mVIP), was associated with improved symptom burden and increased medication adherence in PLWH.
AHRQ-funded; HS023963.
Citation: Schnall R, Cho H, Mangone A .
Mobile health technology for improving symptom management in low income persons living with HIV.
AIDS Behav 2018 Oct;22(10):3373-83. doi: 10.1007/s10461-017-2014-0..
Keywords: Chronic Conditions, Health Information Technology (HIT), Human Immunodeficiency Virus (HIV), Low-Income, Vulnerable Populations
Berridge C
Active subjects of passive monitoring: responses to a passive monitoring system in low-income independent living.
The researchers examined the range of ways older adults relate to passive monitoring in low-income independent-living residences is presented. They found that assumptions built into the technology about how older adults live presented a problem for many users who experience unwanted disruptions and threats to their behavioral autonomy. Also, the resident responses challenged the dominant image of residents as passive subjects of a passive monitoring system.
AHRQ-funded; HS000011.
Citation: Berridge C .
Active subjects of passive monitoring: responses to a passive monitoring system in low-income independent living.
Ageing Soc 2017 Mar;37(3):537-60. doi: 10.1017/s0144686x15001269.
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Keywords: Caregiving, Elderly, Health Information Technology (HIT), Low-Income
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
Latulipe C, Gatto A, Nguyen HT
Design considerations for patient portal adoption by low-income, older adults.
This paper describes the results of an interview study investigating facilitators and barriers to adoption of patient portals among low-income, older adults in rural and urban populations in the southeastern United States. The authors then present a set of considerations for designing the patient portal user experience, aimed at helping healthcare clinics to meet U.S. federally-mandated 'meaningful use' requirements.
AHRQ-funded; HS021679.
Citation: Latulipe C, Gatto A, Nguyen HT .
Design considerations for patient portal adoption by low-income, older adults.
Proc SIGCHI Conf Hum Factor Comput Syst 2015 Apr;2015:3859-68. doi: 10.1145/2702123.2702392..
Keywords: Health Information Technology (HIT), Web-Based, Low-Income, Elderly