Health Information Technology Commons^™

Public Acceptance Of Using Artificial Intelligence-Assisted Weight Management Apps In High-Income Southeast Asian Adults With Overweight And Obesity: A Cross-Sectional Study, Han Shi Jocelyn Chew, Palakorn Achananuparp, Palakorn Achananuparp, Nicholas W. S. Chew, Yip Han Chin, Yujia Gao, Bok Yan Jimmy So, Asim Shabbir, Ee-Peng Lim, Kee Yuan Ngiam

Research Collection School Of Computing and Information Systems

Introduction: With in increase in interest to incorporate artificial intelligence (AI) into weight management programs, we aimed to examine user perceptions of AI-based mobile apps for weight management in adults with overweight and obesity. Methods: 280 participants were recruited between May and November 2022. Participants completed a questionnaire on sociodemographic profiles, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), and Self-Regulation of Eating Behavior Questionnaire. Structural equation modeling was performed using R. Model fit was tested using maximum-likelihood generalized unweighted least squares. Associations between influencing factors were analyzed using correlation and linear regression. Results: 271 participant responses were …

A Weight-Loss Intervention Augmented By A Wearable Device In Rural Older Adults With Obesity: A Feasibility Study, John A. Batsis, Curtis L. Petersen, Matthew L. Clark, Summer B. Cook, Francisco Lopez-Jimenez, Rima I. Al-Nimer, Dawna Pidgeon, David Kotz, Todd A. Mackenzie, Stephen J. Bartels

Dartmouth Scholarship

Background

Older persons with obesity aged 65+ residing in rural areas have reduced access to weight management programs due to geographic isolation. The ability to integrate technology into health promotion interventions shows a potential to reach this underserved population. Methods

A 12-week pilot in 28 older rural adults with obesity (body mass index [BMI] ≥ 30 kg/m2) was conducted at a community aging center. The intervention consisted of individualized, weekly dietitian visits focusing on behavior therapy and caloric restriction with twice weekly physical therapist-led group strengthening training classes in a community-based aging center. All participants were provided a Fitbit Flex …

Feasibility And Acceptability Of A Technology-Based, Rural Weight Management Int Ervention In Older Adults With Obesity, John A. Batsis, Curtis L. Petersen, Matthew M. Clark, Summer B. Cook, David Kotz, Tyler L. Gooding, Meredith N. Roderka, Rima I. Al-Nimer, Dawna M. Pidgeon, Ann Haedrich, K. C. Wright, Christina Aquila, Todd A. Mackenzie

Dartmouth Scholarship

Background

Older adults with obesity residing in rural areas have reduced access to weight management programs. We determined the feasibility, acceptability and preliminary outcomes of an integrated technology-based health promotion intervention in rural-living, older adults using remote monitoring and synchronous video-based technology.

Methods

A 6-month, non-randomized, non-blinded, single-arm study was conducted from October 2018 to May 2020 at a community-based aging center of adults aged ≥65 years with a body mass index (BMI) ≥30 kg/m2. Weekly dietitian visits focusing on behavior therapy and caloric restriction and twice-weekly physical therapist-led group strength, flexibility and balance training classes were delivered using video-conferencing …

Discordant Documentation Of Obesity Body Mass Index And Obesity Diagnosis In Electronic Medical Records, Jennifer T. Fink, George L. Morris Iii, Maharaj Singh, David A. Nelson, Renee E. Walker, Ron A. Cisler

Maharaj Singh

Purpose: This study examined concordance between presence of obesity body mass index (BMI), defined as BMI ≥ 30, in the patient’s electronic medical record (EMR) and a documented diagnosis of obesity.

Methods: We conducted a retrospective review of the EMR in a large health care system for a 1-year period (2012). A total of 397,313 patients met the study criteria of having at least one physician visit, being at least 18 years of age, and not being pregnant. Of those, 158,327 (40%) had a recorded BMI ≥ 30. We examined the EMR of these obese patients to determine whether a …

Discordant Documentation Of Obesity Body Mass Index And Obesity Diagnosis In Electronic Medical Records, Jennifer T. Fink, George L. Morris Iii, Maharaj Singh, David A. Nelson, Renee E. Walker, Ron A. Cisler

Journal of Patient-Centered Research and Reviews

Purpose: This study examined concordance between presence of obesity body mass index (BMI), defined as BMI ≥ 30, in the patient’s electronic medical record (EMR) and a documented diagnosis of obesity.

Methods: We conducted a retrospective review of the EMR in a large health care system for a 1-year period (2012). A total of 397,313 patients met the study criteria of having at least one physician visit, being at least 18 years of age, and not being pregnant. Of those, 158,327 (40%) had a recorded BMI ≥ 30. We examined the EMR of these obese patients to determine whether a …