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Search All Research Studies
Topics
- Communication (1)
- Diabetes (4)
- Education: Patient and Caregiver (1)
- (-) Electronic Health Records (EHRs) (8)
- Healthcare Delivery (2)
- Health Information Technology (HIT) (6)
- Health Insurance (1)
- (-) Lifestyle Changes (8)
- Obesity (3)
- Obesity: Weight Management (2)
- Patient-Centered Outcomes Research (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 8 of 8 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)
Cedillo M, Kukhareva PV, Larsen SM
Impact of electronic health record-coaching features in weight change: a secondary analysis from the MAINTAIN-pc randomized trial.
This study evaluated whether coaching features were successfully transmitted via electronic health record (EHR) communication and to evaluate their relationship with weight change in a previously tested EHR-based coaching intervention. The authors conducted a secondary analysis from the Maintaining Activity and Nutrition through Technology-Assisted Innovation in Primary Care (MAINTAIN-pc) study randomized clinical trial in nine primary care practices and one specialty practice (endocrinology) affiliated with the University of Pittsburgh Medical Center. Eligible participants were aged 18 to 75 years, had intentional 5% weight loss in the previous 2 years, had access to an internet-connected computer, and had receipt of care from a University of Pittsburgh Medical Center primary care provider. Participants content with intervention delivery via the EHR and those who felt a strong connection to their coach had significantly less weight regain. Participants who had needs unmet by the intervention (e.g., "in-person" support in a group setting or individual settings) regained more weight. The results suggest heterogeneity in the patient population regarding preference for in-person versus EHR-based coaching formats.
AHRQ-funded; HS021162.
Citation: Cedillo M, Kukhareva PV, Larsen SM .
Impact of electronic health record-coaching features in weight change: a secondary analysis from the MAINTAIN-pc randomized trial.
Obesity 2023 Jan;31(1):31-36. doi: 10.1002/oby.23595..
Keywords: Electronic Health Records (EHRs), Obesity, Obesity: Weight Management, Lifestyle Changes
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
Hedderson MM, Brown SD, Ehrlich SF
A tailored letter based on electronic health record data improves gestational weight gain among women with gestational diabetes mellitus: the Gestational Diabetes' Effects on Moms (GEM) cluster-randomized controlled trial.
The purpose of this study was to evaluate whether a tailored letter improved gestational weight gain (GWG) and whether GWG mediated a multicomponent intervention's effect on postpartum weight retention among women with gestational diabetes mellitus (GDM). The authors concluded that a tailored electronic health record-based letter improved GWG, which mediated the effect of a multicomponent intervention in reducing postpartum weight retention.
AHRQ-funded; HS019367.
Citation: Hedderson MM, Brown SD, Ehrlich SF .
A tailored letter based on electronic health record data improves gestational weight gain among women with gestational diabetes mellitus: the Gestational Diabetes' Effects on Moms (GEM) cluster-randomized controlled trial.
Diabetes Care 2018 Jul;41(7):1370-77. doi: 10.2337/dc17-1133..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Lifestyle Changes, Patient-Centered Outcomes Research, Pregnancy, Women
Brown SD, Grijalva CS, Ferrara A
Leveraging EHRs for patient engagement: perspectives on tailored program outreach.
Electronic health records (EHRs) present healthcare delivery systems with scalable, cost-effective opportunities to promote lifestyle programs among patients at high risk for type 2 diabetes, yet little consensus exists on strategies to enhance patient engagement. In this study, the investigators explored patient perspectives on program outreach messages containing content tailored to EHR-derived diabetes risk factors--a theory-driven strategy to increase the persuasiveness of health communications.
AHRQ-funded; HS019367.
Citation: Brown SD, Grijalva CS, Ferrara A .
Leveraging EHRs for patient engagement: perspectives on tailored program outreach.
Am J of Manag Care 2017 Jul;23(7):e223-e30..
Keywords: Diabetes, Communication, Education: Patient and Caregiver, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Lifestyle Changes, Patient and Family Engagement
Stevens VJ, Solberg LI, Bailey SR
Assessing trends in tobacco cessation in diverse patient populations.
This study examined change in tobacco use over 4 years among the general population of patients in six diverse health care organizations using electronic medical record data. It found that among smokers who regularly used these care systems, one in seven had achieved long-term cessation after 4 years. The study shows the practicality of using electronic medical records for monitoring patient smoking status over time.
AHRQ-funded; HS019828.
Citation: Stevens VJ, Solberg LI, Bailey SR .
Assessing trends in tobacco cessation in diverse patient populations.
Nicotine Tob Res 2016 Mar;18(3):275-80. doi: 10.1093/ntr/ntv092.
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Keywords: Tobacco Use, Electronic Health Records (EHRs), Patient-Centered Outcomes Research, Healthcare Delivery, Lifestyle Changes
Hosomura N, Goldberg SI, Shubina M
Electronic documentation of lifestyle counseling and glycemic control in patients with diabetes.
The aim of this study was to establish quantitative characteristics of documentation of lifestyle counseling that are associated with improved glycemic control in patients with diabetes, using a previously validated natural language processing system that enables abstraction of lifestyle counseling documentation from narrative electronic provider notes. It identified novel quantitative characteristics of electronic documentation of lifestyle counseling that are associated with improved glycemic control in patients with diabetes.
AHRQ-funded; HS017030.
Citation: Hosomura N, Goldberg SI, Shubina M .
Electronic documentation of lifestyle counseling and glycemic control in patients with diabetes.
Diabetes Care 2015 Jul;38(7):1326-32. doi: 10.2337/dc14-2016..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Lifestyle Changes
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