National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Asthma (1)
- Behavioral Health (1)
- Cardiovascular Conditions (1)
- Care Management (1)
- Children/Adolescents (6)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (2)
- Clinician-Patient Communication (2)
- Community-Based Practice (1)
- Diagnostic Safety and Quality (1)
- Digestive Disease and Health (1)
- Electronic Health Records (EHRs) (6)
- Evidence-Based Practice (1)
- (-) Health Information Technology (HIT) (15)
- Heart Disease and Health (1)
- Hospitalization (1)
- Lifestyle Changes (4)
- Medication (1)
- Nutrition (1)
- (-) Obesity (15)
- Obesity: Weight Management (7)
- Patient-Centered Outcomes Research (1)
- Patient Adherence/Compliance (1)
- Prevention (1)
- Primary Care (3)
- Provider (1)
- Quality Improvement (1)
- Quality Measures (1)
- Quality of Care (1)
- Respiratory Conditions (1)
- Rural Health (1)
- Surgery (2)
- Telehealth (5)
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 15 of 15 Research Studies DisplayedHalliday TM, McFadden M, Cedillo M
Lifestyle strategies after intentional weight loss: results from the MAINTAIN-pc randomized trial.
The aim of this study was to explore the strategies related with successful long-term weight loss maintenance. Researchers analyzed data from the 24-month Maintaining Activity and Nutrition Through Technology-Assisted Innovation in Primary Care (MAINTAIN-pc) trial. MAINTAIN-pc recruited 194 adults with recent intentional weight loss and randomized participants a group using tracking tools plus coaching (i.e., coaching group) or tracking tools without coaching (i.e., tracking-only group). The participants reported the lifestyle strategies they utilized in the previous 6 months, including self-monitoring, group support, behavioral skills, and professional support. The study found that at baseline, 100% used behavioral skills, 73% used group support, 69% used self-monitoring, and 68% used professional support in the past 6 months; at 24 months, the rates were 98%, 60%, 75%, and 61%, respectively. The number of participants using individual strategies did not vary significantly over time, but the overall number of strategies participants reported decreased. A greater number of strategies were utilized at baseline and 6 months compared to 12- and 24-month follow-ups. The coaching group utilized a greater number of strategies at months 6 and 12 than the tracking-only group. Consistent utilization of professional support strategies over the 24-month study period was related with less weight regain.
AHRQ-funded; HS021162.
Citation: Halliday TM, McFadden M, Cedillo M .
Lifestyle strategies after intentional weight loss: results from the MAINTAIN-pc randomized trial.
Transl J Am Coll Sports Med 2023 Spring; 8(2). doi: 10.1249/tjx.0000000000000220..
Keywords: Lifestyle Changes, Obesity, Primary Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Huo T, Li Q, Cardel MI
AHRQ Author: Mistry K
Enhancing quality measurement with clinical information: a use case of body mass index change among children taking second generation antipsychotics.
The authors sought to examine the extent to which body mass index (BMI) was available in electronic health records for Florida Medicaid recipients aged 5 to 18 years taking Second-Generation Antipsychotics (SGAP). They concluded that meeting the 2030 CMS goal of digital monitoring of quality of care will require continuing expansion of clinical encounter data capture to provide the data needed for digital quality monitoring. Using linked electronic health records and claims data allows identifying children at higher risk for SGAP-induced weight gain.
AHRQ-authored; AHRQ-funded; HS025298.
Citation: Huo T, Li Q, Cardel MI .
Enhancing quality measurement with clinical information: a use case of body mass index change among children taking second generation antipsychotics.
Acad Pediatr 2022 Apr;22(3S):S140-S49. doi: 10.1016/j.acap.2021.11.012..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Obesity, Obesity: Weight Management, Quality Measures, Quality of Care
Joseph CLM, Alexander GL, Lu M
Pilot study of a brief provider and EMR-based intervention for overweight teens with asthma.
The authors piloted an electronic medical record-based tailored discussion guide (TDG) and a brief provider training to address weight management in overweight teens with asthma. They observed modest improvements in patient-reported asthma outcomes and health behaviors. They found strong evidence that the TDG supports provider discussion of weight and asthma to create a more patient-centered conversation from the perspective of participating teens. They recommended addressing challenges to recruitment and clinic adaptation prior to advancing to a full-scale trial.
AHRQ-funded; HS022417.
Citation: Joseph CLM, Alexander GL, Lu M .
Pilot study of a brief provider and EMR-based intervention for overweight teens with asthma.
Pilot Feasibility Stud 2021 Aug 30;7(1):167. doi: 10.1186/s40814-021-00848-6..
Keywords: Children/Adolescents, Obesity: Weight Management, Obesity, Asthma, Chronic Conditions, Respiratory Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Haynes SC, Tancredi DJ, Tong K
Association of adherence to weight telemonitoring with health care use and death: a secondary analysis of a randomized clinical trial.
This study examined if heart failure patients who had lower adherence to weight telemonitoring had higher hospitalization and death rates. This study was a post hoc secondary analysis of the Better Effectiveness After Transition-Heart Failure randomized clinical trial which included patients from 6 academic medical centers in California. Criteria for eligibility was if they were hospitalized for decompensated heart failure. Exclusion criteria included if they were discharged to a skilled nursing facility, were expected to improve because of a medical procedure, or did not have the cognitive or physical ability to participate. The trial compared a telemonitoring intervention with usual care for patients with heart failure after hospital discharge from October 12, 2011 to September 30, 2013. The cohort of 538 eligible participants had a mean age of 70.9, was 53.8% male and 50.7% white. Adherence got better from week to week, and they found that every increase in adherence by 1 day was associated with a 19% decrease in the rate of death the following week and an 11% decrease in the rate of hospitalization. However, weight adherence is unlikely to be a result of the telemonitoring intervention.
AHRQ-funded; HS019311.
Citation: Haynes SC, Tancredi DJ, Tong K .
Association of adherence to weight telemonitoring with health care use and death: a secondary analysis of a randomized clinical trial.
JAMA Netw Open 2020 Jul;3(7):e2010174. doi: 10.1001/jamanetworkopen.2020.10174..
Keywords: Telehealth, Health Information Technology (HIT), Patient Adherence/Compliance, Obesity: Weight Management, Obesity, Heart Disease and Health, Cardiovascular Conditions, Hospitalization
Conroy MB, McTigue KM, Bryce CL
Effect of electronic health record-based coaching on weight maintenance: a randomized trial.
This study compared long-term weight regain after participation in a weight loss management program using an electronic health record (EHR)-based weight maintenance intervention program. Participants were adult outpatients with a BMI of 25 kg/m2 or higher, had intentional weight loss of at least 5% in the previous 2 years, and had no bariatric procedures in the previous 5 years. The EHR tools included weight, diet and physical activity tracking sheets, standardized surveys and reminders. Patients were randomly assigned to the coaching or non-coaching group. They were tracked for 24 months with 24 scheduled contacts. Results showed patients who used the EHR tools plus coaching had less weight regain than patients using EHR tools alone.
AHRQ-funded; HS021162.
Citation: Conroy MB, McTigue KM, Bryce CL .
Effect of electronic health record-based coaching on weight maintenance: a randomized trial.
Ann Intern Med 2019 Dec 3;171(11):777-84. doi: 10.7326/m18-3337..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Obesity: Weight Management, Obesity, Lifestyle Changes
Dolan PT, Afaneh C, Dakin G
Lessons learned from developing a mobile app to assist in patient recovery after weight loss surgery.
This study examines the outcomes of patients recovering from weight loss surgery using a newly developed mobile app to help them recover successfully. The enrolled patients used the app for 30 days from July 2017 to October 2018. As the app was being used, it was updated. Ten patients were enrolled in the trial period with four using the initial version and six with the updated version. All patients were satisfied with the app and liked the notifications of updates. In the trial version only one patient completed at least 70% of the surveys, but five completed the surveys for the updated version. Next steps for the researchers is to conduct a pilot study with a larger set of patients.
AHRQ-funded; HS000066.
Citation: Dolan PT, Afaneh C, Dakin G .
Lessons learned from developing a mobile app to assist in patient recovery after weight loss surgery.
J Surg Res 2019 Dec;244:402-08. doi: 10.1016/j.jss.2019.06.063..
Keywords: Obesity: Weight Management, Obesity, Surgery, Telehealth, Health Information Technology (HIT)
deMeireles A, Ross R, Ghaferi AA
Leveraging mobile technologies to improve longitudinal quality and outcomes following bariatric surgery.
This paper discusses the prevalence of obesity, annual cost attributable to obesity, data from observational studies which have evaluated weight trajectories following bariatric surgery, the importance of face to face follow-up for all patients who have undergone bariatric surgery, and novel telehealth strategies for longitudinal follow up that have begun to take shape in health systems.
AHRQ-funded; HS024403.
Citation: deMeireles A, Ross R, Ghaferi AA .
Leveraging mobile technologies to improve longitudinal quality and outcomes following bariatric surgery.
Mhealth 2019 Feb 25;5:6. doi: 10.21037/mhealth.2019.02.02..
Keywords: Health Information Technology (HIT), Obesity, Surgery, Telehealth
Hanna RM, Fischer G, Conroy MB
Online lifestyle modification intervention: survey of primary care providers' attitudes and views.
The aim of this study was to evaluate the response of primary care providers (PCPs) to a referral model for implementing a year-long online intervention for weight loss to obese adult patients. The investigators suggest that understanding providers' views and barriers regarding the integration of online tools will facilitate widespread implementation of an online lifestyle modification intervention.
AHRQ-funded; HS018155.
Citation: Hanna RM, Fischer G, Conroy MB .
Online lifestyle modification intervention: survey of primary care providers' attitudes and views.
J Med Internet Res 2018 Jun 8;20(6):e167. doi: 10.2196/jmir.8616..
Keywords: Health Information Technology (HIT), Lifestyle Changes, Obesity, Primary Care, Provider
Aschbrenner KA, Naslund JA, Shevenell M
Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness.
This pilot study evaluated the feasibility of a behavioral weight loss intervention enhanced with peer support and mobile health (mHealth) technology for obese individuals with serious mental illness (SMI). Feasibility was assessed by program attendance, and participant satisfaction and suggestions for improving the model. It found that overall attendance amounted to approximately half of weekly sessions, with participants suggesting a number of modifications.
AHRQ-funded; HS021695.
Citation: Aschbrenner KA, Naslund JA, Shevenell M .
Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness.
Psychiatr Q 2016 Sep;87(3):401-15. doi: 10.1007/s11126-015-9395-x.
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Keywords: Health Information Technology (HIT), Behavioral Health, Obesity: Weight Management, Obesity
Taveras EM, Marshall R, Sharifi M
Connect for Health: Design of a clinical-community childhood obesity intervention testing best practices of positive outliers.
The Connect for Health study is designed to assess whether a novel approach to care delivery that leverages clinical and community resources and addresses socio-contextual factors will improve body mass index and family-centered, obesity-related outcomes of interest to parents and children. The intervention is informed by clinical, community, parent, and youth stakeholders and incorporates successful strategies and best practices learned from 'positive outlier' families.
AHRQ-funded; HS022986.
Citation: Taveras EM, Marshall R, Sharifi M .
Connect for Health: Design of a clinical-community childhood obesity intervention testing best practices of positive outliers.
Contemp Clin Trials 2015 Nov;45(Pt B):287-95. doi: 10.1016/j.cct.2015.09.022.
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Keywords: Children/Adolescents, Obesity, Health Information Technology (HIT), Community-Based Practice, Patient-Centered Outcomes Research
Chung CF, Cook K, Bales E
More than telemonitoring: Health provider use and nonuse of life-log data in irritable bowel syndrome and weight management.
The researchers sought to develop an in-depth understanding of providers’ facilitators and barriers to successfully integrating life-log data into their practices and creating better experiences. Providers reported using self-monitoring data to enhance provider-patient communication, develop personalized treatment plans, and to motivate and educate patients, in addition to using them as diagnostic and adherence tools. Barriers included a lack of time to review detailed records and questions about providers' expertise to review it.
AHRQ-funded; HS023654.
Citation: Chung CF, Cook K, Bales E .
More than telemonitoring: Health provider use and nonuse of life-log data in irritable bowel syndrome and weight management.
J Med Internet Res 2015 Aug 21;17(8):e203. doi: 10.2196/jmir.4364..
Keywords: Digestive Disease and Health, Health Information Technology (HIT), Telehealth, Obesity, Clinician-Patient Communication
Dugan TM, Mukhopadhyay S, Carroll A
Machine learning techniques for prediction of early childhood obesity.
This study aimed to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA. It demonstrated that data from a production clinical decision support system can be used to build an accurate machine learning model to predict obesity in children after age two.
AHRQ-funded; HS020640; HS018453; HS017939.
Citation: Dugan TM, Mukhopadhyay S, Carroll A .
Machine learning techniques for prediction of early childhood obesity.
Appl Clin Inform 2015 Aug 12;6(3):506-20. doi: 10.4338/aci-2015-03-ra-0036.
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Keywords: Children/Adolescents, Obesity, Health Information Technology (HIT), Clinical Decision Support (CDS), Children/Adolescents
Baer HJ, Wee CC, DeVito K
Design of a cluster-randomized trial of electronic health record-based tools to address overweight and obesity in primary care.
The researchers described the design of a trial to examine the effectiveness of electronic health record-based tools for the assessment and management of overweight and obesity among adult primary care patients, as well as the challenges encountered. New features included reminders to measure height and weight, and an alert asking providers to add overweight or obesity to the problem list.
AHRQ-funded; HS019789.
Citation: Baer HJ, Wee CC, DeVito K .
Design of a cluster-randomized trial of electronic health record-based tools to address overweight and obesity in primary care.
Clin Trials 2015 Aug;12(4):374-83. doi: 10.1177/1740774515578132..
Keywords: Health Information Technology (HIT), Primary Care, Obesity, Electronic Health Records (EHRs), Clinician-Patient Communication
Shaikh U, Berrong J, Nettiksimmons J
Impact of electronic health record clinical decision support on the management of pediatric obesity.
The investigators assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. They found a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity.
AHRQ-funded; HS018567.
Citation: Shaikh U, Berrong J, Nettiksimmons J .
Impact of electronic health record clinical decision support on the management of pediatric obesity.
Am J Med Qual 2015 Jan-Feb;30(1):72-80. doi: 10.1177/1062860613517926.
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Keywords: Care Management, Children/Adolescents, Clinical Decision Support (CDS), Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Obesity, Obesity: Weight Management
Shaikh U, Nettiksimmons J, Joseph JG
Collaborative practice improvement for childhood obesity in rural clinics: the Healthy Eating Active Living Telehealth Community of Practice (HEALTH COP).
The authors assessed the impact of participation in a virtual quality improvement (QI) learning network on adherence to clinical guidelines for childhood obesity prevention in rural clinics. They found that children who received care from clinicians who led the implementation of the intervention at their clinic showed significant improvements in nutrition and physical activity. Virtual QI learning networks in geographically dispersed clinics can significantly increase clinicians' adherence to guidelines for childhood obesity and improve access to recommended care for rural and underserved children.
AHRQ-funded; HS018567.
Citation: Shaikh U, Nettiksimmons J, Joseph JG .
Collaborative practice improvement for childhood obesity in rural clinics: the Healthy Eating Active Living Telehealth Community of Practice (HEALTH COP).
Am J Med Qual 2014 Nov-Dec;29(6):467-75. doi: 10.1177/1062860613506252.
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Keywords: Children/Adolescents, Evidence-Based Practice, Health Information Technology (HIT), Lifestyle Changes, Nutrition, Obesity, Prevention, Quality Improvement, Rural Health, Telehealth