Telehealth to Improve Physical Activity in Adults with Diabetes Mellitus: A Narrative Review

Triana Karnadipa(1*), Ari Nurfikri(2), Safrin Arifin(3)
(1) Program Pendidikan Vokasi Universitas Indonesia
(2) Vocational Education Program Universitas Indonesia
(3) Vocational Education Program Universitas Indonesia
(*) Corresponding Author
DOI : 10.30604/jika.v7i2.1030

Abstract

Physical activity has been evaluated to decrease mortality rates in people with diabetes mellitus. After the COVID-19 pandemic, healthcare delivery was leaned towards telemedicine or telehealth to conduct social distancing. The primary aim of this review is to evaluate formats and strategies used in telemedicine to improve physical activity in adults with diabetes mellitus. ProQuest, Medline, and CINAHL were searched for studies involving adults with diabetes mellitus (more than 18 years old); telemedicine; and physical activity outcomes. The quality of the studies was appraised using the JBI Critical Appraisal Checklists for risk of bias, study design, and quality of evidence. Data syntheses were conducted following a simplified approach by Popay et al. Themes were developed based on the findings. Five randomized controlled trials met the inclusion criteria. The risk of bias was determined low in most of the studies. Text messages were the most common method. Pedometer, accelerometer, and International Physical Activity Questionnaires were commonly used to quantify the level of physical activity. Frequent reminders using text messages to the participants were the common strategy to ensure their adherence. The telehealth intervention has not yet shown significant positive effects on physical activity in people with diabetes mellitus. Further studies conducting synchronous and hybrid telehealth to improve physical activity in adults with diabetes mellitus were needed.

 

Abstrak: Aktivitas fisik telah dievaluasi untuk menurunkan angka kematian pada penderita diabetes mellitus. Setelah pandemi COVID-19, pemberian layanan kesehatan condong ke telemedicine atau telehealth untuk melakukan social distancing. Tujuan utama dari tinjauan ini adalah untuk mengevaluasi format dan strategi yang digunakan dalam telemedicine untuk meningkatkan aktivitas fisik pada orang dewasa dengan diabetes mellitus. ProQuest, Medline, dan CINAHL dicari untuk penelitian yang melibatkan orang dewasa dengan diabetes mellitus (lebih dari 18 tahun); telemedis; dan hasil aktivitas fisik. Kualitas studi dinilai menggunakan JBI Critical Appraisal Checklists untukrisiko bias, desain studi, dan kualitas bukti. Sintesis data dilakukan mengikuti pendekatan yang disederhanakan oleh Popay et al. Tema dikembangkan berdasarkan temuan. Lima uji coba terkontrol secara acak memenuhi criteria inklusi. Risiko bias ditentukan rendah di sebagian besar penelitian. Pesan teks adalah metode yang paling umum. Pedometer, akselerometer, dan Kuesioner Aktivitas Fisik Internasional biasanya digunakan untuk mengukur tingkat aktivitas fisik. Pengingat yang sering menggunakan pesan teks kepada para peserta adalah strategi umum untuk memastikan kepatuhan mereka. Intervensi telehealth belum menunjukkan efek positif yang signifikan terhadap aktivitas fisik pada penderita diabetes mellitus. Diperlukan penelitian lebih lanjut yang melakukan telehealth sinkron dan hibrida untuk meningkatkan aktivitas fisik pada orang dewasa dengan diabetes mellitus.

Keywords


diabetes mellitus; physical activity; telehealth; telemedicine

References


Agboola, S., Jethwani, K., Lopez, L., Searl, M., O’Keefe, S. &Kvedar, J. (2016). Text to move: A randomized controlled trial of a text-messaging program to improve physical activity behaviors in patients with type 2 diabetes mellitus. Journal of Medical Internet Research, 18(11). https://doi.org/10.2196/jmir.6439

Azar, K. M. J., Koliwad, S., Poon, T., Xiao, L., Lv, N., Griggs, R. & Ma, J. (2016). The electronic cardiometabolic program (eCMP) for patients with cardiometabolic risk: A randomized controlled trial. Journal of Medical Internet Research, 18(5). https://doi.org/10.2196/jmir.5143

Bertoncello, C., Cocchio, S., Fonzo, M., Bennici, S. E., Russo, F. &Putoto, G. (2020). The potential of mobile health clinics in chronic disease prevention and health promotion in universal healthcare systems. An on-field experiment. International Journal for Equity in Health, 19(1). https://doi.org/10.1186/s12939-020-01174-8

Bradbury, K. E., Guo, W., Cairns, B. J., Armstrong, M. E. G. & Key, T. J. (2017). Association between physical activity and body fat percentage, with adjustment for BMI: a large cross-sectional analysis of UK Biobank. BMJ Open, 7, 11843. https://doi.org/10.1136/bmjopen-2016

Cassimatis, M., Kavanagh, D. J. & Health, W. (n.d.). GTH2012/Cassimatis Effects of type 2 diabetes behavioural telehealth interventions on glycaemic control and adherence: a systematic review.

Cottrell, M. A. & Russell, T. G. (2020). Telehealth for musculoskeletal physiotherapy. Musculoskeletal Science and Practice, 48. https://doi.org/10.1016/j.msksp.2020.102193

Edoardo, A. & Zachary, M. (2017). Joanna Briggs Institute Reviewers Manual. The Joanna Briggs Institute. https://doi.org/https://doi.org/10.46658/JBIMES-20-01

Geidl, W., Schlesinger, S., Mino, E., Miranda, L. & Pfeifer, K. (2020). Dose-response relationship between physical activity and mortality in adults with noncommunicable diseases: A systematic review and meta-analysis of prospective observational studies. In International Journal of Behavioral Nutrition and Physical Activity (Vol. 17, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s12966-020-01007-5

Hill, J. (2019). LONG-TERM CONDITIONS The older person with diabetes: considerations for care. In British Journal of Community Nursing (Vol. 24, Issue 4). http://tinyurl.com/y3nd86za.

Hoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., Altman, D. G., Barbour, V., Macdonald, H., Johnston, M., Kadoorie, S. E. L., Dixon-Woods, M., McCulloch, P., Wyatt, J. C., Phelan, A. W. C. & Michie, S. (2014). Better reporting of interventions: Template for intervention description and replication (TIDieR) checklist and guide. BMJ (Online), 348. https://doi.org/10.1136/bmj.g1687

Jin, K., Khonsari, S., Gallagher, R., Gallagher, P., Clark, A. M., Freedman, B., Briffa, T., Bauman, A., Redfern, J. & Neubeck, L. (2019). Telehealth interventions for the secondary prevention of coronary heart disease: A systematic review and meta-analysis. European Journal of Cardiovascular Nursing, 18(4), 260–271. https://doi.org/10.1177/1474515119826510

Nanditha, A., Thomson, H., Susairaj, P., Srivanichakorn, W., Oliver, N., Godsland, I. F., Majeed, A., Darzi, A., Satheesh, K., Simon, M., Raghavan, A., Vinitha, R., Snehalatha, C., Westgate, K., Brage, S., Sharp, S. J., Wareham, N. J., Johnston, D. G. & Ramachandran, A. (n.d.). A pragmatic and scalable strategy using mobile technology to promote sustained lifestyle changes to prevent type 2 diabetes in India and the UK: a randomised controlled trial. https://doi.org/10.1007/s00125-019-05061-y/Published

Polgreen, L. A., Anthony, C., Carr, L., Simmering, J. E., Evans, N. J., Foster, E. D., Segre, A. M., Cremer, J. F. &Polgreen, P. M. (2018). The effect of automated text messaging and goal setting on pedometer adherence and physical activity in patients with diabetes: A randomized controlled trial. PLoS ONE, 13(5). https://doi.org/10.1371/journal.pone.0195797

Popay, J., Baldwin, S., Arai, L., Britten, N., Petticrew, M., Rodgers, M. & Sowden, A. (2007). Guidance on the conduct of narrative synthesis in systematic reviews: A product from the ESRC Methods Programme. Guidance on the Conduct of Narrative Synthesis in Systematic Reviews: A Product from the ESRC Methods Programme, METHODS BR(April 2006), 13. https://doi.org/10.13140/2.1.1018.4643

Poppe, L., de Bourdeaudhuij, I., Verloigne, M., Degroote, L., Shadid, S. &Crombez, G. (2019). A self-regulation-based eHealth and mHealth intervention for an active lifestyle in adults with type 2 diabetes: Protocol for a randomized controlled trial. JMIR Research Protocols, 8(3). https://doi.org/10.2196/12413

Pusat Data dan Informasi. (2020). Infodatin: TetapProduktif, Cegah, dan Atasi Diabetes Melitus. Kementerian Kesehatan RI .

Rawstorn, J. C., Gant, N., Direito, A., Beckmann, C. & Maddison, R. (2016). Telehealth exercise-based cardiac rehabilitation: A systematic review and meta-analysis. In Heart (Vol. 102, Issue 15, pp. 1183–1192). BMJ Publishing Group. https://doi.org/10.1136/heartjnl-2015-308966

Suliga, E., Cie?la, E., R?bak, D., Kozie?, D. &G?uszek, S. (2018). Relationship between sitting time, physical activity, and metabolic syndrome among adults depending on body mass index (BMI). Medical Science Monitor, 24, 7633–7645. https://doi.org/10.12659/MSM.907582

The Joanna Briggs Institute. (2018). Critical Appraisal Tools. The Joanna Briggs Institute. http://joannabriggs-webdev.org/research/critical-appraisal-tools.html

TuranKavradim, S., Özer, Z. & Boz, ?. (2020). Effectiveness of telehealth interventions as a part of secondary prevention in coronary artery disease: a systematic review and meta-analysis. In Scandinavian Journal of Caring Sciences (Vol. 34, Issue 3, pp. 585–603). Blackwell Publishing Ltd. https://doi.org/10.1111/scs.12785

Umeh, K. (2017). Personal care plans and glycaemic control: the role of body mass index and physical activity. British Journal of Nursing, 26(10), 543–551.

World Health Organization. (2021a, April 13). Diabetes. World Health Organization . https://www.who.int/news-room/fact-sheets/detail/diabetes

World Health Organization. (2021b, September 2). Coronavirus disease (COVID-19) advice for the public. World Health Organization. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public


Article Statistic

Abstract view : 16 times
Fulltext (Bahasa Indonesia) views : 4 times

Dimensions Metrics

How To Cite This :

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Triana Karnadipa, Ari Nurfikri, Safrin Arifin

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.