Cited by 15Mobile Health and mHealth ApplicationsTelemedicine and Telehealth ImplementationDigital Mental Health Interventions

The Impact of Digital Health Technologies on Chronic Disease Management

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Asif, Muhammad, Gaur, Pramod·2025·Telehealth and Medicine Today

Abstract

Advances in digital health technologies have the potential to redesign chronic disease management and enable new directions for better patient outcomes and improved healthcare delivery. The focus here is on congestive heart failure, diabetes mellitus, and opioid use disorder, with an emphasis on the identification of barriers to equitable implementation and to propose research directions to enhance digital health efficacy and scalability. Investing in digital health solutions and innovation makes it possible for the healthcare industry to maintain quality of care, achieve better patient outcomes, and lower the burden of chronic diseases on a healthcare system. This paper explores common challenges and opportunities and proposes future research directions. Unlike earlier reports that focused on implementation barriers and provided an umbrella review of patient experiences, this article uniquely synthesizes evidence across conditions to establish best practices and cross-cutting barriers. In addition, it highlights the growing role of artificial intelligence in digital health—a topic often underexplored in prior works.

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Research works printed but not linked: 43

  1. Pong C, Tseng RMWW, Tham YC, Lum E. Current implementation of digital health in chronic disease management: scoping review. J Med Internet Res. 2024;26:e53576. https://doi.org/10.2196/53576 · DOI
  2. Taylor ML, Thomas EE, Vitangcol K, Marx W, Campbell KL, Caffery LJ, et al. Digital health experiences reported in chronic disease management: an umbrella review of qualitative studies. J Telemed Telecare. 2022;28(10):705–17. https://doi.org/10.1177/1357633X221119620 · DOI
  3. Sapna F, Raveena F, Chandio M, Bai K, Sayyar M, Varrassi G, et al. Advancements in heart failure management: a comprehensive narrative review of emerging therapies. Cureus. 2023 [cited 2025 Jan 31]. Available from: https://www.cureus.com/articles/195799-advancements-in-heart-failure-management-a-comprehensive-narrative-review-of-emerging-therapies
  4. Dowell D, Ragan KR, Jones CM, Baldwin GT, Chou R. CDC clinical practice guideline for prescribing opioids for pain—United States, 2022. MMWR Recomm Rep. 2022;71(3):1–95. https://doi.org/10.15585/mmwr.rr7103a1 · DOI · Paper page
  5. Zang X, Skinner A, Krieger MS, Behrends CN, Park JN, Green TC, et al. Evaluation of strategies to enhance community-based naloxone distribution supported by an opioid settlement. JAMA Netw Open. 2024;7(5):e2413861. https://doi.org/10.1001/jamanetworkopen.2024.13861 · DOI
  6. Monico LB, Eastlick M, Michero D, Pielsticker P, Glasner S. Feasibility and acceptability of a novel digital therapeutic combining behavioral and pharmacological treatment for opioid use disorder. Digit Health. 2024;10:20552076241258400. https://doi.org/10.1177/20552076241258400 · DOI
  7. Mongelli F, Georgakopoulos P, Pato MT. Challenges and opportunities to meet the mental health needs of underserved and disenfranchised populations in the United States. Focus Am Psychiatr Publ. 2020;18(1):16–24. https://doi.org/10.1176/appi.focus.20190028 · DOI · Paper page
  8. Goins RT, Pilkerton CS. Comorbidity among Older American Indians: the native elder care study. J Cross-Cult Gerontol. 2010;25(4):343–54. https://doi.org/10.1007/s10823-010-9119-5 · DOI
  9. Magid DJ, Shetterly SM, Margolis KL. Comparative effectiveness of angiotensin-converting enzyme inhibitors versus beta-blockers as second-line therapy for hypertension. Circ Cardiovasc Qual Outcomes. 2010;3(5):453–8. https://doi.org/10.1161/CIRCOUTCOMES.110.940874 · DOI
  10. Aleppo G, Gal RL, Raghinaru D, Kruger D, Beck RW, Bergenstal RM, et al. Comprehensive telehealth model to support diabetes self-management. JAMA Netw Open. 2023;6(10):e2336876. https://doi.org/10.1001/jamanetworkopen.2023.36876 · DOI · Paper page
  11. Fairley M, Humphreys K, Joyce VR, Bounthavong M, Trafton J, Combs A, et al. Cost-effectiveness of treatments for opioid use disorder. JAMA Psychiatry. 2021;78(7):767. https://doi.org/10.1001/jamapsychiatry.2021.0247 · DOI
  12. Hamid H, Abid Z, Amir A, Rehman TU, Akram W, Mehboob T. Current burden on healthcare systems in low- and middle-income countries: recommendations for emergency care of COVID-19. Drugs Ther Perspect. 2020;36(10):466–8. https://doi.org/10.1007/s40267-020-00766-2 · DOI
  13. Kropp M, Golubnitschaja O, Mazurakova A, Koklesova L, Sargheini N, Vo TTKS, et al. Diabetic retinopathy as the leading cause of blindness and early predictor of cascading complications—risks and mitigation. EPMA J. 2023;14(1):21–42. https://doi.org/10.1007/s13167-023-00314-8 · DOI · Paper page
  14. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33(Suppl 1):S62–S69. https://doi.org/10.2337/dc10-S062 · DOI · Paper page
  15. Bahrami H, Kronmal R, Bluemke DA, Olson J, Shea S, Liu K, et al. Differences in the incidence of congestive heart failure by ethnicity: the multi-ethnic study of atherosclerosis. Arch Intern Med. 2008;168(19):2138. https://doi.org/10.1001/archinte.168.19.2138 · DOI
  16. Shaffer KM, Turner KL, Siwik C, Gonzalez BD, Upasani R, Glazer JV, et al. Digital health and telehealth in cancer care: a scoping review of reviews. Lancet Digit Health. 2023;5(5):e316–27. https://doi.org/10.1016/S2589-7500(23)00049-3 · DOI · Paper page
  17. Moschonis G, Siopis G, Jung J, Eweka E, Willems R, Kwasnicka D, et al. Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials. Lancet Digit Health. 2023;5(3):e125–43.
  18. Alzahrani S, Al Doghaither H, Al‑Ghafari A. General insight into cancer: an overview of colorectal cancer (Review). Mol Clin Oncol. 2021;15(6):271. https://doi.org/10.3892/mco.2021.2433 · DOI
  19. Liu L, Yin X, Chen M, Jia H, Eisen HJ, Hofman A. Geographic variation in heart failure mortality and its association with hypertension, diabetes, and behavioral-related risk factors in 1,723 counties of the United States. Front Public Health. 2018;6:132. https://doi.org/10.3389/fpubh.2018.00132 · DOI
  20. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49. https://doi.org/10.3322/caac.21660 · DOI · Paper page
  21. American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics—2023 update: a report from the American Heart Association. Circulation. 2023;147(8):e621. https://doi.org/10.1161/CIR.0000000000001123 · DOI · Paper page
  22. Tedeschi A, Palazzini M, Trimarchi G, Conti N, Di Spigno F, Gentile P, et al. Heart failure management through telehealth: expanding care and connecting hearts. J Clin Med. 2024;13(9):2592. https://doi.org/10.3390/jcm13092592 · DOI
  23. Idris H, Nugraheni WP, Rachmawati T, Kusnali A, Yulianti A, Purwatiningsih Y, et al. How is telehealth currently being utilized to help in hypertension management within primary healthcare settings? A scoping review. Int J Environ Res Public Health. 2024;21(1):90. https://doi.org/10.3390/ijerph21010090 · DOI
  24. Choe K, Zinn E, Lu K, Hoang D, Yang LH. Impact of COVID-19 pandemic on chronic pain and opioid use in marginalized populations: a scoping review. Front Public Health. 2023;11:1046683. https://doi.org/10.3389/fpubh.2023.1046683 · DOI
  25. Henry TA. New rules enable telemedicine treatment for opioid-use disorder. American Medical Association; 2024 [cited 2024 Dec 29]. Available from: https://www.ama-assn.org/delivering-care/overdose-epidemic/new-rules-enable-telemedicine-treatment-opioid-use-disorder
  26. Dasgupta N, Beletsky L, Ciccarone D. Opioid crisis: no easy fix to its social and economic determinants. Am J Public Health. 2018;108(2):182–6. https://doi.org/10.2105/AJPH.2017.304187 · DOI · Paper page
  27. Ahuja R, Ayala C, Tong X, Wall HK, Fang J. Public awareness of health-related risks from uncontrolled hypertension. Prev Chronic Dis. 2018;15:170362. https://doi.org/10.5888/pcd15.170362 · DOI
  28. Wu Y, Ding Y, Tanaka Y, Zhang W. Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention. Int J Med Sci. 2014;11(11):1185–200. https://doi.org/10.7150/ijms.10001 · DOI
  29. Burkes RM, Gassett AJ, Ceppe AS, Anderson W, O’Neal WK, Woodruff PG, et al. Rural residence and chronic obstructive pulmonary disease exacerbations. Analysis of the SPIROMICS Cohort. Ann Am Thorac Soc. 2018;15(7):808–16.
  30. Ghosh S, Paul M, Mondal KK, Bhattacharjee S, Bhattacharjee P. Sedentary lifestyle with increased risk of obesity in urban adult academic professionals: an epidemiological study in West Bengal, India. Sci Rep. 2023;13(1):4895. https://doi.org/10.1038/s41598-023-31977-y · DOI
  31. Nayak-Rao S, Shenoy M. Stroke in patients with chronic kidney disease…: how do we approach and manage it? Indian J Nephrol. 2017;27(3):167. https://doi.org/10.4103/0971-4065.202405 · DOI
  32. Sculley JA, Musick H, Krishnan JA. Telehealth in chronic obstructive pulmonary disease: before, during, and after the coronavirus disease 2019 pandemic. Curr Opin Pulm Med. 2022;28(2):93–8. https://doi.org/10.1097/MCP.0000000000000851 · DOI
  33. Calcaterra V, Verduci E, Vandoni M, Rossi V, Di Profio E, Carnevale Pellino V, et al. Telehealth: a useful tool for the management of nutrition and exercise programs in pediatric obesity in the COVID-19 era. Nutrients. 2021;13(11):3689. https://doi.org/10.3390/nu13113689 · DOI
  34. Koh JH, Chong LCY, Koh GCH, Tyagi S. Telemedical interventions for chronic obstructive pulmonary disease management: umbrella review. J Med Internet Res. 2023;25:e33185. https://doi.org/10.2196/33185 · DOI
  35. Haleem A, Javaid M, Singh RP, Suman R. Telemedicine for healthcare: capabilities, features, barriers, and applications. Sens Int. 2021;2:100117. https://doi.org/10.1016/j.sintl.2021.100117 · DOI · Paper page
  36. Sirintrapun SJ, Lopez AM. Telemedicine in cancer care. Am Soc Clin Oncol Educ Book. 2018;(38):540–5. https://doi.org/10.1200/EDBK_200141 · DOI
  37. Elder AJ, Alazawi H, Shafaq F, Ayyad A, Hazin R. Teleoncology: novel approaches for improving cancer care in North America. Cureus. 2023 [cited 2025 Jan 31]. Available from: https://www.cureus.com/articles/156603-teleoncology-novel-approaches-for-improving-cancer-care-in-north-america
  38. Dorn F, Lange B, Braml M, Gstrein D, Nyirenda JLZ, Vanella P, et al. The challenge of estimating the direct and indirect effects of COVID-19 interventions – toward an integrated economic and epidemiological approach. Econ Hum Biol. 2023;49:101198. https://doi.org/10.1016/j.ehb.2022.101198 · DOI
  39. Miller CE, Vasan RS. The southern rural health and mortality penalty: a review of regional health inequities in the United States. Soc Sci Med. 2021;268:113443. https://doi.org/10.1016/j.socscimed.2020.113443 · DOI
  40. Agarwal S, Simmonds I, Myers AK. The use of diabetes technology to address inequity in health outcomes: limitations and opportunities. Curr Diab Rep. 2022;22(7):275–81. https://doi.org/10.1007/s11892-022-01470-3 · DOI
  41. Grant S, Hodgkinson J, Schwartz C, Bradburn P, Franssen M, Hobbs FR, et al. Using mHealth for the management of hypertension in UK primary care: an embedded qualitative study of the TASMINH4 randomised controlled trial. Br J Gen Pract. 2019;69(686):e612–20. https://doi.org/10.3399/bjgp19X704585 · DOI · Paper page
  42. Ciemins E, Coon P, Peck R, Holloway B, Min SJ. Using telehealth to provide diabetes care to patients in rural Montana: findings from the promoting realistic individual self-management program. Telemed E-Health. 2011;17(8):596–602. https://doi.org/10.1089/tmj.2011.0028 · DOI
  43. Vol. 10 No. 1 (2025): Telehealth and Medicine Today

Cited by

Sorted by citations

Authors
Asif, M., & Gaur, P.
Affiliations
City College of New York (US)
Venue
Telehealth and Medicine Today
Published
2025-03-31
Volume
10
Issue
1
ISSN
2471-6960 (ISSN-L)
OpenAlex
W4409031025
Cited by
15
References
0
Citations by year
2026: 10 · 2025: 5
FWCI
19.08
Type
journal article
Language
en
Open access
Locations
  • Telehealth and Medicine Today (publishedVersion, cc-by-nc)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
digital health technologies, chronic disease management, congestive heart failure, diabetes mellitus, opioid use disorder, implementation barriers, equitable implementation, artificial intelligence in healthcare, scalability, patient outcomes, health care delivery

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