PENGGUNAAN MHEALTH PADA PASIEN PASCA RAWAT INAP PENYAKIT KRONIS: LITERATURE REVIEW
Abstract
Chronic non-communicable diseases (NCDs) are a persistent global health problem. Patients with chronic medical conditions often experience difficulties in self-management of their disease, especially after discharge from the hospital. The gap in information and the patient's ability to maintain and improve their health after hospitalization is challenging. One of the efforts to manage chronic diseases for post-hospitalization patients is using mobile health technology (mHealth). This study aimed to determine the benefits and challenges of using mHealth in the self-management of chronic diseases in post-hospitalization patients. The method used is the literature review of article searches on electronic databases, namely Proquest, Scopus and Pubmed, with publication years 2019-2023. The review of 7 selected articles shows that using mHealth in post-hospitalization patients with chronic diseases can facilitate patient behavior change and interaction with health workers. It also can potentially reduce patient readmissions and the cost of care. The challenges in using mHealth in post-hospitalization patients with chronic diseases are low compliance due to loss of interest, discomfort when using the device, fatigue, socioeconomic status, and patient culture. The option of creating mHealth using gamification strategies to increase intrinsic motivation should be considered, but recommendations on the components of fun, personalization, performance feedback and safety are also important. Therefore, it is important to assess patient preferences, the involvement of healthcare professionals and mHealth designers, and communication campaigns that emphasize exchanging reliable and correct information.
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References
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14. Martin C, Hinkley N, Stockman K, Campbell D. Post-hospital syndrome (phs) and potentially preventable hospitalizations (pph) in adults. Int J Integr Care. 2019;19(4):466. doi:10.5334/ijic.s3466
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22. Schmaderer M, Miller JN, Mollard E. Experiences of Using a Self-management Mobile App Among Individuals With Heart Failure: Qualitative Study. JMIR Nurs. 2021;4(3):e28139. doi:10.2196/28139
23. Gjeka R, Patel K, Reddy C, Zetsche N. Patient engagement with digital disease management and readmission rates: The case of congestive heart failure. Health Informatics J. 2021;27(3). doi:10.1177/14604582211030959
24. Eckardt I, Buschhaus C, Nickenig G, Jansen F. Smartphone-guided secondary prevention for patients with coronary artery disease. J Rehabil Assist Technol Eng. 2021;8:205566832199657. doi:10.1177/2055668321996572
25. Gong E, Zhang Z, Jin X, et al. Quality, functionality, and features of Chinese mobile apps for diabetes self-management: Systematic search and evaluation of mobile apps. JMIR mHealth uHealth. 2020;8(4):1-13. doi:10.2196/14836
26. Pugliese M, Ramsay T, Shamloul R, et al. Recovernow: A mobile tablet-based therapy platform for early stroke rehabilitation. PLoS One. 2019;14(1):1-18. doi:10.1371/journal.pone.0210725
27. LaPiana N, Duong A, Lee A, et al. Acceptability of a mobile phone–based augmented reality game for rehabilitation of patients with upper limb deficits from stroke: Case study. JMIR Rehabil Assist Technol. 2020;7(2):1-11. doi:10.2196/17822
28. Chae SH, Kim Y, Lee KS, Park HS. Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic stroke survivors: Prospective comparative study. JMIR mHealth uHealth. 2020;8(7). doi:10.2196/17216
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30. mHealth can reduce the cost of chronic diseases _ Orange Business.
31. Free C, Phillips G, Watson L, et al. The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis. PLoS Med. 2013;10(1). doi:10.1371/journal.pmed.1001363
32. Birkmeyer S, Wirtz BW, Langer PF. Determinants of mHealth success: An empirical investigation of the user perspective. Int J Inf Manage. 2021;59(April):102351. doi:10.1016/j.ijinfomgt.2021.102351
33. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Transl Behav Med. 2017;7(2):254-267. doi:10.1007/s13142-016-0453-1
34. Arshed M, Mahmud AB, Minhat HS, Ying LP, Umer MF. Effectiveness of mHealth Interventions in Medication Adherence among Patients with Cardiovascular Diseases: A Systematic Review. Diseases. 2023;11(1):41. doi:10.3390/diseases11010041
35. Mustafa AS, Ali N, Dhillon JS, Alkawsi G, Baashar Y. User Engagement and Abandonment of mHealth: A Cross-Sectional Survey. Healthc. 2022;10(2):1-13. doi:10.3390/healthcare10020221
36. Swiatczak MD. Towards a neo-configurational theory of intrinsic motivation. Motiv Emot. 2021;45(6):769-789. doi:10.1007/s11031-021-09906-1
37. Priesterroth L, Grammes J, Holtz K, Reinwarth A, Kubiak T. Gamification and Behavior Change Techniques in Diabetes Self-Management Apps. J Diabetes Sci Technol. 2019;13(5):954-958. doi:10.1177/1932296818822998
38. Szczepańska-Gieracha J, Mazurek J. The role of self-efficacy in the recovery process of stroke survivors. Psychol Res Behav Manag. 2020;13:897-906. doi:10.2147/PRBM.S273009
39. Lavoie M, Routhier S, Légaré A, Macoir J. Treatment of verb anomia in aphasia: efficacy of self-administered therapy using a smart tablet. Neurocase. 2016;22(1):109-118. doi:10.1080/13554794.2015.1051055
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41. Randriambelonoro M, Perrin C, Blocquet A, et al. Hospital-to-Home Transition for Older Patients: Using Serious Games to Improve the Motivation for Rehabilitation – a Qualitative Study. J Popul Ageing. 2020;13(2):187-205. doi:10.1007/s12062-020-09274-7
42. Bruce CR, Harrison P, Nisar T, et al. Assessing the impact of patient-facing mobile health technology on patient outcomes: Retrospective observational cohort study. JMIR mHealth uHealth. 2020;8(6):1-13. doi:10.2196/19333
43. Sousa P, Martinho R, Parreira P, Luo G. Editorial: mHealth tools for patient empowerment and chronic disease management. Front Psychol. 2023;14. doi:10.3389/fpsyg.2023.1206567
44. del Río-Lanza AB, Suárez-Vázquez A, Suárez-Álvarez L, Iglesias-Argüelles V. Mobile health (mhealth): facilitators and barriers of the intention of use in patients with chronic illnesses. J Commun Healthc. 2020;13(2):138-146. doi:10.1080/17538068.2020.1777513
45. Laurenza E, Quintano M, Schiavone F, Vrontis D. The effect of digital technologies adoption in healthcare industry: a case based analysis. Bus Process Manag J. 2018;24(5):1124-1144. doi:10.1108/BPMJ-04-2017-0084
2. Marrero S, Adashi EY. Non-communicable diseases. Semin Reprod Med. 2015;33(1):35-40. doi:10.1055/s-0034-1395277
3. Amdie FZ, Woo and K. The use of mHealth technology for chronic disease management: the challenges and opportunities for practical application. Wounds Int 2020. 2020;11(2):32-38.
4. Taylor K, Silver L. Smartphone Ownership Is Growing Rapidly Around the World, but Not Always Equally. Pew Res Cent. 2019;(February):47. https://www.pewresearch.org/global/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally/%0Ahttp://www.pewglobal.org/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally/
5. Data boks. Berapa Jumlah Pengguna Smartphone Dunia. 20-01-2020. Published online 2019:1. https://databoks.katadata.co.id/datapublish/2020/01/20/berapa-jumlah-pengguna-smartphone-dunia
6. Pusparisa Y. Indonesia Peringkat ke-3 Global Memanfaatkan Aplikasi Kesehatan. Databooks.katadata.co.id. Published online 2020:2020. https://databoks.katadata.co.id/datapublish/2020/10/13/indonesia-peringkat-ke-3-global-memanfaatkan-aplikasi-kesehatan
7. Cho YM, Lee S, Islam SMS, Kim SY. Theories applied to m-health interventions for behavior change in low- and middle-income countries: A systematic review. Telemed e-Health. 2018;24(10):727-741. doi:10.1089/tmj.2017.0249
8. FDA. Device Software Functions Including Mobile Medical Applications. USFDA. https://www.fda.gov/medical-devices/digital-health/device-software-functions-including-mobile-medical-applications. Published online 2019. https://www.fda.gov/medical-devices/digital-health-center-excellence/device-software-functions-including-mobile-medical-applications
9. Dwinger S, Dirmaier J, Herbarth L, et al. Telephone-based health coaching for chronically ill patients: Study protocol for a randomized controlled trial. Trials. 2013;14(1):1-7. doi:10.1186/1745-6215-14-337
10. Kapur N. The NHS Long Term Plan. SUSHRUTA J Heal Policy Opin. 2020;12(1):10-11. doi:10.38192/12.1.4
11. Dayanand K, Olivia E. Atherton1, Jennifer L. Tackett2, Emilio Ferrer1 and RWR. 乳鼠心肌提取 HHS Public Access. Physiol Behav. 2018;176(5):139-148. doi:10.1145/2858036.2858240.Closing
12. Id JH, Ssinabulya I, Id JIS, Akiteng AR, Ross J, Id JAC. Self-management of non-communicable diseases in low- and middle-income countries : A scoping review. Published online 2019:1-14.
13. Huygens MWJ, Vermeulen J, Swinkels ICS, Friele RD, Van Schayck OCP, De Witte LP. Expectations and needs of patients with a chronic disease toward self-management and eHealth for self-management purposes. BMC Health Serv Res. 2016;16(1):1-11. doi:10.1186/s12913-016-1484-5
14. Martin C, Hinkley N, Stockman K, Campbell D. Post-hospital syndrome (phs) and potentially preventable hospitalizations (pph) in adults. Int J Integr Care. 2019;19(4):466. doi:10.5334/ijic.s3466
15. Wipt P, George KM. 基因的改变NIH Public Access. Bone. 2008;23(1):1-7. doi:10.1001/jamainternmed.2013.9318.Quality
16. Kind AJH, Jencks S, Brock J, et al. Neighborhood socioeconomic disadvantage and 30-day rehospitalization: A retrospective cohort study. Ann Intern Med. 2014;161(11):765-774. doi:10.7326/M13-2946
17. Krook M, Iwarzon M, Siouta E. The Discharge Process—From a Patient's Perspective. SAGE Open Nurs. 2020;6. doi:10.1177/2377960819900707
18. Motamarri S, Akter S, Ray P, Tseng CL. Distinguishing "mHealth" from other healthcare services in a developing country: A study from the service quality perspective. Commun Assoc Inf Syst. 2014;34(1):669-692. doi:10.17705/1cais.03434
19. Silva BMC, Rodrigues JJPC, de la Torre Díez I, López-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. J Biomed Inform. 2015;56:265-272. doi:10.1016/j.jbi.2015.06.003
20. Slater H, Campbell JM, Stinson JN, Burley MM, Briggs AM. End User and implementer experiences of mhealth technologies for non-communicable chronic disease management in young adults: Systematic review. J Med Internet Res. 2017;19(12). doi:10.2196/jmir.8888
21. Lasorsa I, D’Antrassi P, Ajčević M, et al. Personalized support for chronic conditions. Appl Clin Inform. 2016;07(03):633-645. doi:10.4338/aci-2016-01-ra-0011
22. Schmaderer M, Miller JN, Mollard E. Experiences of Using a Self-management Mobile App Among Individuals With Heart Failure: Qualitative Study. JMIR Nurs. 2021;4(3):e28139. doi:10.2196/28139
23. Gjeka R, Patel K, Reddy C, Zetsche N. Patient engagement with digital disease management and readmission rates: The case of congestive heart failure. Health Informatics J. 2021;27(3). doi:10.1177/14604582211030959
24. Eckardt I, Buschhaus C, Nickenig G, Jansen F. Smartphone-guided secondary prevention for patients with coronary artery disease. J Rehabil Assist Technol Eng. 2021;8:205566832199657. doi:10.1177/2055668321996572
25. Gong E, Zhang Z, Jin X, et al. Quality, functionality, and features of Chinese mobile apps for diabetes self-management: Systematic search and evaluation of mobile apps. JMIR mHealth uHealth. 2020;8(4):1-13. doi:10.2196/14836
26. Pugliese M, Ramsay T, Shamloul R, et al. Recovernow: A mobile tablet-based therapy platform for early stroke rehabilitation. PLoS One. 2019;14(1):1-18. doi:10.1371/journal.pone.0210725
27. LaPiana N, Duong A, Lee A, et al. Acceptability of a mobile phone–based augmented reality game for rehabilitation of patients with upper limb deficits from stroke: Case study. JMIR Rehabil Assist Technol. 2020;7(2):1-11. doi:10.2196/17822
28. Chae SH, Kim Y, Lee KS, Park HS. Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic stroke survivors: Prospective comparative study. JMIR mHealth uHealth. 2020;8(7). doi:10.2196/17216
29. Los UMDECDE. No 主観的健康感を中心とした在宅高齢者における 健康関連指標に関する共分散構造分析Title.
30. mHealth can reduce the cost of chronic diseases _ Orange Business.
31. Free C, Phillips G, Watson L, et al. The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis. PLoS Med. 2013;10(1). doi:10.1371/journal.pmed.1001363
32. Birkmeyer S, Wirtz BW, Langer PF. Determinants of mHealth success: An empirical investigation of the user perspective. Int J Inf Manage. 2021;59(April):102351. doi:10.1016/j.ijinfomgt.2021.102351
33. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Transl Behav Med. 2017;7(2):254-267. doi:10.1007/s13142-016-0453-1
34. Arshed M, Mahmud AB, Minhat HS, Ying LP, Umer MF. Effectiveness of mHealth Interventions in Medication Adherence among Patients with Cardiovascular Diseases: A Systematic Review. Diseases. 2023;11(1):41. doi:10.3390/diseases11010041
35. Mustafa AS, Ali N, Dhillon JS, Alkawsi G, Baashar Y. User Engagement and Abandonment of mHealth: A Cross-Sectional Survey. Healthc. 2022;10(2):1-13. doi:10.3390/healthcare10020221
36. Swiatczak MD. Towards a neo-configurational theory of intrinsic motivation. Motiv Emot. 2021;45(6):769-789. doi:10.1007/s11031-021-09906-1
37. Priesterroth L, Grammes J, Holtz K, Reinwarth A, Kubiak T. Gamification and Behavior Change Techniques in Diabetes Self-Management Apps. J Diabetes Sci Technol. 2019;13(5):954-958. doi:10.1177/1932296818822998
38. Szczepańska-Gieracha J, Mazurek J. The role of self-efficacy in the recovery process of stroke survivors. Psychol Res Behav Manag. 2020;13:897-906. doi:10.2147/PRBM.S273009
39. Lavoie M, Routhier S, Légaré A, Macoir J. Treatment of verb anomia in aphasia: efficacy of self-administered therapy using a smart tablet. Neurocase. 2016;22(1):109-118. doi:10.1080/13554794.2015.1051055
40. video-games-atitudes-habits.doi.10.26419-2Fres.00125.001.pdf.coredownload.pdf.
41. Randriambelonoro M, Perrin C, Blocquet A, et al. Hospital-to-Home Transition for Older Patients: Using Serious Games to Improve the Motivation for Rehabilitation – a Qualitative Study. J Popul Ageing. 2020;13(2):187-205. doi:10.1007/s12062-020-09274-7
42. Bruce CR, Harrison P, Nisar T, et al. Assessing the impact of patient-facing mobile health technology on patient outcomes: Retrospective observational cohort study. JMIR mHealth uHealth. 2020;8(6):1-13. doi:10.2196/19333
43. Sousa P, Martinho R, Parreira P, Luo G. Editorial: mHealth tools for patient empowerment and chronic disease management. Front Psychol. 2023;14. doi:10.3389/fpsyg.2023.1206567
44. del Río-Lanza AB, Suárez-Vázquez A, Suárez-Álvarez L, Iglesias-Argüelles V. Mobile health (mhealth): facilitators and barriers of the intention of use in patients with chronic illnesses. J Commun Healthc. 2020;13(2):138-146. doi:10.1080/17538068.2020.1777513
45. Laurenza E, Quintano M, Schiavone F, Vrontis D. The effect of digital technologies adoption in healthcare industry: a case based analysis. Bus Process Manag J. 2018;24(5):1124-1144. doi:10.1108/BPMJ-04-2017-0084
Authors
Febiarthy, A. ., & Martha, E. . (2023). PENGGUNAAN MHEALTH PADA PASIEN PASCA RAWAT INAP PENYAKIT KRONIS: LITERATURE REVIEW. JURNAL RISET KESEHATAN POLTEKKES DEPKES BANDUNG, 15(2), 294-307. https://doi.org/10.34011/juriskesbdg.v15i2.2251
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