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This paper is in the following e-collection/theme issue:

Economic Evaluations of mHealth Programs and Infrastructures (71) Cost-Effectiveness and Economics (518) mHealth for Wellness, Behavior Change and Prevention (4315) Behavior Change (1101) Prevention and Health Promotion (2305) mHealth for Patient Education (425) Obesity and Nutrition as Public Health Problem (601) Nutrition, Physical Activity, Healthy Lifestyle for Cancer Patients and Survivors (257)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47473, first published .
Woman uses Noom app on phone to learn about black-or-white thinking.

The Impact of a Digital Weight Loss Intervention on Health Care Resource Utilization and Costs Compared Between Users and Nonusers With Overweight and Obesity: Retrospective Analysis Study

The Impact of a Digital Weight Loss Intervention on Health Care Resource Utilization and Costs Compared Between Users and Nonusers With Overweight and Obesity: Retrospective Analysis Study

Authors of this article:

Ellen Siobhan Mitchell1 Author Orcid Image ;   Alexander Fabry1 Author Orcid Image ;   Annabell Suh Ho1 Author Orcid Image ;   Christine N May1 Author Orcid Image ;   Matthew Baldwin1 Author Orcid Image ;   Paige Blanco1 Author Orcid Image ;   Kyle Smith1 Author Orcid Image ;   Andreas Michaelides1 Author Orcid Image ;   Mostafa Shokoohi2 Author Orcid Image ;   Michael West3 Author Orcid Image ;   Kim Gotera2 Author Orcid Image ;   Omnya El Massad2 Author Orcid Image ;   Anna Zhou2 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. Tak Y, Lee J, Kim J, Lee Y. Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices. Journal of Medical Internet Research 2024;26:e59444 View
  2. Ahola A, Venäläinen M, Joki A, Suojanen L, Pietiläinen K. The impact of COVID-19 pandemic on weight loss in the digital Healthy Weight Coaching program. Obesity Research & Clinical Practice 2025;19(3):275 View
  3. Marin R, Ianculescu M, Costescu M, Mocanu V, Mihăescu A, Fulga I, Coman O. Integrated Medical and Digital Approaches to Enhance Post-Bariatric Surgery Care: A Prototype-Based Evaluation of the NutriMonitCare System in a Controlled Setting. Nutrients 2025;17(15):2542 View
  4. Tak C, Thompson P, Morse J, McCallum M. Health care resource utilization and health care costs among digital weight‐loss intervention participants and nonparticipants. Obesity 2025;33(9):1637 View
  5. Pedroso I, Saravanan S, Kumbhare S, Sharma G, Almonacid D, Sinha R. Economic Impact of a Precision Nutrition Digital Therapeutic on Employer Health Costs: A Multi-Employer and Multi-Year Claims Analysis. Healthcare 2025;13(23):3147 View
  6. König L, Forbes C, Busse H, DeSmet A, Szinay D, Wan J, Guo Z, Smit E. Inequalities in Exclusively Mobile Interventions Targeting Weight‐Related Behaviors: Systematic Review of Observational Studies. Obesity Reviews 2026;27(5) View
  7. Talay L, Hom J, Scott T, Ahuja N. 12-Month Weight Loss and Adherence Predictors in a Real-World UK Tirzepatide-Supported Digital Obesity Service: A Retrospective Cohort Analysis. Healthcare 2025;14(1):60 View
  8. Almandoz J, Ard J, Gazda C, Edwards‐Hampton S. Healthcare Resource Utilisation and Cost of Obesity and Related Complications in the United States: A Systematic Literature Review. Diabetes, Obesity and Metabolism 2026;28(5):4121 View
  9. Shanmugam P, Adams R, Athinarayanan S, Wolfberg A, Ballreich J. Healthcare Cost Impacts of Telehealth-Delivered Nutrition Therapy among US Adults with Type 2 Diabetes or Obesity: A Matched Difference-in-Differences Analysis. Diabetes Therapy 2026;17(10):1495 View
  10. Crawford C, Williams M, Shell A, Jones Z, Yoon J, MacDonald K, Callahan C, Nurnberger J, Stewart J. Effect of modernized collaborative care for depression on individual depressive symptoms: A secondary analysis of the eIMPACT trial. Psychological Medicine 2026;56 View