Authors :
Prithviraj Erande; Dr. Ipseeta Ray Mohanty; Dr. Sandeep Rai
Volume/Issue :
Volume 9 - 2024, Issue 6 - June
Google Scholar :
https://tinyurl.com/23r279t6
Scribd :
https://tinyurl.com/yhfz2d2r
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24JUN424
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Introduction:
Cardiovascular disease is the leading cause of death
in patients with type 2 diabetes. Digital health tools like
mobile application have fast emerged as a technology
capable of closing the gap in cardiovascular disease self-
management and revolutionizing the way healthcare is
traditionally delivered. One of the causes for low app
engagement of Apps in India is perhaps that few of these
apps are available in local languages. The goal is to reach
as many diabetic patients as possible while avoiding
linguistic hurdles.
Methodology:
The ‘healthy heart’ mobile app was developed and
translated into Hindi and Marathi languages for CVD
risk stratification and risk management among Type 2
diabetes mellitus patients. User acceptability testing of
the app on its design, presentation, content, and user-
friendliness was undertaken. The feedback on utility of
the app for CVD risk stratification and modification was
assessed. A total 100 multilingual app users profile were
noted for CVD Risk Status, Life Style Practices and
CVD Risk Factors.
Results:
The Healthy Heart multi-lingual app was
successfully developed for CVD risk classification and
risk management among Type 2 diabetes mellitus
patients. The patients had the choice to select the desired
language of the app from the versions available in
English, Hindi and Marathi. The Mobile App's Home
Screen displayed the CVD risk score and category, a
health tracker to monitor compliance with WHO
recommendations regarding diet, physical activity,
addictions, medication adherence, diabetic, and CVD
Risk Profile. The majority of respondents rated the
App's design, presentation, content, and user-
friendliness favorably and emphasized the utility of App
for CVD self-management and risk reduction.
Characteristics of Type 2 Diabetic patients demonstrated
poor compliance for total fruits and vegetable intake,
total fat intake and total salt intake, physical activity
Guidelines apart from poor control for blood pressure,
glycemic control and lipid targets.
Conclusion:
The multilingual mobile App for CVD risk
stratification, self-management and CVD risk reduction
among diabetic patients was successfully developed in
Hindi and Marathi language. User acceptability testing
results were found to be favorable for the mobile app.
Keywords :
Mobile App, Type 2 Diabetes Mellitus, Cardiovascular Diseases.
References :
- Gulayin P, Irazola V, Lozada A, Chaparro M, Santero M, Gutierrez L et al. An educational intervention to improve effectiveness in treatment and control of patients with high cardiovascular risk in low-resource settings in Argentina: study protocol of a cluster randomized controlled trial. BMJ Open. 2017 Jan 31;7(1):014420.
- Khan N, Marvel FA, Wang J, Martin SS. Digital Health Technologies to Promote Lifestyle Change and Adherence. Curr Treat Options Cardiovasc Med. 2017 Aug;19(8):60.
- Otávio Berwanger, Luiz Alberto Piva, Fernando Vilela Martin, Renato Lopes, Estevao Figueiredo, Daniel Magnoni, et al. Evidence-Based Therapy Prescription in High-Cardiovascular Risk Patients: The REACT Study. Arq Bras Cardiol. 2013;100(3):212-220.
- Fox CS, S Coady, PD Sorlie, RB D’ Agostino, Michael JP, RS Vasan, et al. Increasing cardiovascular disease burden due to diabetes mellitus: The Framingham Heart Study. Circulation. 2007; 115: 1544–1550.
- Surka S, Edirippulige S, Steyn K, Gaziano T, T Puoane, N Levitt. Evaluating the use of mobile phone technology to enhance cardiovascular disease screening by community health workers. Int J Med Inform. 2014 Sep;83(9):648-54.
- World Health Organization (WHO). HEARTS technical package for cardiovascular disease management in primary health care: risk based CVD management. Geneva: World Health Organization; 2020. Licence: CC BY-NC-SA 3.0 IGO.
- Mohan V, Pradeepa R. Epidemiology of type 2 diabetes in India. Indian Journal of Ophthalmology. 2021 Oct 29;69(11):2932.
- Pérez-Jover V, Sala-González M, Guilabert M, Mira JJ.Mobile Apps for Increasing Treatment Adherence: Systematic Review. Journal of Medical Internet Research. 2019 Jun 18;21(6): e12505.
- Bitrián P, Buil I, Catalán S. Enhancing user engagement: The role of gamification in mobile apps. Journal of Business Research [Internet]. 2021 Aug; 132(1):170–85.
- Kwan YH, Ong ZQ, Choo DYX, Phang JK, Yoon S, Low LL. A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings. Patient Preference and Adherence. 2023 May 27; 17:1–11.
- Einarson TR, Acs A, Ludwig C, Panton UH. Prevalence of cardiovascular disease in type 2 diabetes: A systematic literature review of scientific evidence from across the world in 2007–2017. Cardiovascular Diabetology. 2018;17(1).
- Ordúñez P, Tajer C. Disseminating cardiovascular disease risk assessment with a PAHO mobile app: a public eHealth intervention in 2015. Pan American Journal of Public Health. Jul;38(1):82-5. PMID: 26506325.
- Milne-Ives M, Lam C, De Cock C, Van Velthoven MH, Meinert E. Mobile apps for Health Behavior change in physical activity, Diet, drug and alcohol use, and Mental Health: Systematic Review. JMIR mHealth and uHealth. 2020;8(3).
- Buss VH, Varnfield M, Harris M, Barr M. A mobile app for prevention of cardiovascular disease and type 2 diabetes mellitus: Development and usability study. JMIR Human Factors. 2022;9(2).
- Ocares-Cunyarachi L, Laberiano Andrade-Arenas. Design of a Mobile App to Monitor and Control in Real Time Type 2 Diabetes Mellitus in Peru. International journal of interactive mobile technologies. 2023 May 22;17(10):176–92.
- Zolezzi M, Athar Elhakim, Hejazi T, Kattan L, Mustafa D, Shimaa Aboelbaha, et al. Translating and piloting a cardiovascular risk assessment and management online tool using mobile technology. Journal of The Saudi Pharmaceutical Society. 2023 Apr 1;31(4):492–8.
- Lim LL, Lau ESH, Fu AWC, Ray S, Hung YJ, Tan ATB et al. Effects of a Technology-Assisted Integrated Diabetes Care Program on Cardiometabolic Risk Factors Among Patients with Type 2 Diabetes in the Asia-Pacific Region: The JADE Program Randomized Clinical Trial. JAMA Netw Open. 2021 Apr 1;4(4): e217557. doi: 10.1001/ jamanetworkopen.2021.7557.PMID: 33929522; PMCID: PMC8087959.
Introduction:
Cardiovascular disease is the leading cause of death
in patients with type 2 diabetes. Digital health tools like
mobile application have fast emerged as a technology
capable of closing the gap in cardiovascular disease self-
management and revolutionizing the way healthcare is
traditionally delivered. One of the causes for low app
engagement of Apps in India is perhaps that few of these
apps are available in local languages. The goal is to reach
as many diabetic patients as possible while avoiding
linguistic hurdles.
Methodology:
The ‘healthy heart’ mobile app was developed and
translated into Hindi and Marathi languages for CVD
risk stratification and risk management among Type 2
diabetes mellitus patients. User acceptability testing of
the app on its design, presentation, content, and user-
friendliness was undertaken. The feedback on utility of
the app for CVD risk stratification and modification was
assessed. A total 100 multilingual app users profile were
noted for CVD Risk Status, Life Style Practices and
CVD Risk Factors.
Results:
The Healthy Heart multi-lingual app was
successfully developed for CVD risk classification and
risk management among Type 2 diabetes mellitus
patients. The patients had the choice to select the desired
language of the app from the versions available in
English, Hindi and Marathi. The Mobile App's Home
Screen displayed the CVD risk score and category, a
health tracker to monitor compliance with WHO
recommendations regarding diet, physical activity,
addictions, medication adherence, diabetic, and CVD
Risk Profile. The majority of respondents rated the
App's design, presentation, content, and user-
friendliness favorably and emphasized the utility of App
for CVD self-management and risk reduction.
Characteristics of Type 2 Diabetic patients demonstrated
poor compliance for total fruits and vegetable intake,
total fat intake and total salt intake, physical activity
Guidelines apart from poor control for blood pressure,
glycemic control and lipid targets.
Conclusion:
The multilingual mobile App for CVD risk
stratification, self-management and CVD risk reduction
among diabetic patients was successfully developed in
Hindi and Marathi language. User acceptability testing
results were found to be favorable for the mobile app.
Keywords :
Mobile App, Type 2 Diabetes Mellitus, Cardiovascular Diseases.