Development of a Care Model Integrating Health Behavior Modification and Telemedicine for Glycemic Control in Uncontrolled Type 2 Diabetes Mellitus
Keywords:
low carbohydrate diet, telemedicine, intermittent fastingAbstract
Background: The Ministry of Public Health has realized improving quality of diabetes care in response to the escalating global burden of diabetes. This study aimed to develop an integrated chronic care model promoting dietary behavior changes through a low-carbohydrate diet and strengthening self-care engagement via telemedicine. The intervention aimed to enhance self-management capacities, achieve glycemic control.
Methodology: The study employed a research and development design divided into three phases: problem situation analysis, model development, and evaluation of the model’s effectiveness. In phase 1, a qualitative study was conducted involving 7 service providers from the noncommunicable clinic and 15 uncontrolled type 2 diabetes patients purposively selected. Phase 2 focused on developing an integrated diabetes care model based on phase 1 findings, incorporating elements of the chronic care model, health literacy principles, and motivational theory. In phase 3, a quasi-experimental study was conducted among uncontrolled type 2 diabetes patients at four pilot sub-district health promoting hospitals. Participants were systematically allocated into two groups: an experimental group receiving the health behavior modification interventions and a comparison group receiving standard usual care. Each group consisted of 20 participants. Qualitative data were analyzed using content analysis, while quantitative data were analyzed using descriptive statistics, Fisher’s exact test, independent t-test, and multivariable regression analysis.
Results: The standard usual care service was ineffective in assessing patients’ self-management needs and providing individualized advice, resulting in service overcrowding and persistent inappropriate health behaviors among patients with diabetes. To address these issues, an integrated care system was developed, offering personalized self-management support, data transfer, and telemedicine-based follow-up at sub-district health promoting hospitals. Following implementation, patients demonstrated improved self-care behaviors, significant reductions in HbA1C levels, improved lipid profiles, and decreased use of glucose-lowering medications.
Conclusion: The integrated diabetes care model was effective in better glycemic and lipid control among uncontrolled type 2 diabetes patients. Scaling the implementation of this model to additional community hospitals could enhance effective diabetes care delivery at the local level. Furthermore, the model could be adapted as a diabetes remission model at sub-district health promoting hospitals.
References
Schwingshackl L, Hoffmann G, Lampousi A-M, Knüppel S, Iqbal K, Schwedhelm C, et al. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol [internet]. 2017;32(5):363–75. Available from: https://pubmed.ncbi.nlm.nih.gov/28397016/. doi: 10.32394/rpzh.2019.0086.
Hosseini F, Jayedi A, Khan TA, Shab-Bidar S. Dietary carbohydrate and the risk of type 2 diabetes: an updated systematic review and dose–response meta-analysis of prospective cohort studies. Sci Rep [internet]. 2022 [cited 2024 Dec 18];12(1):2491. Available from: https://pubmed.ncbi.nlm.nih.gov/35169172/. doi: 10.1038/s41598-022-06212-9.
Klimek M, Knap J, Reda M, Masternak M. Physical activity in prevention and treatment of type 2 diabetes mellitus. 2019;9(9):1175-81. Available from: https://www.researchgate.net/publication/338397137_Physical_activity_in_prevention_and_treatment_of_type_2_diabetes_mellitus. doi: 10.5281/zenodo.3464935.
Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract [internet]. 2019 [cited 2024 Dec 23];157(107843). Available from: https://pubmed.ncbi.nlm.nih.gov/31518657/. doi: 10.1016/j.diabres.2019.107843.
Jang J-Y, Moon S, Cho S, Cho KH, Oh C-M. Visit-to-visit HbA1c and glucose variability and the risks of macrovascular and microvascular events in the general population. Sci Rep [internet]. 2019 [cited 2024 Dec 23];9(1):1374. Available from: https://pubmed.ncbi.nlm.nih.gov/30718626/. doi: 10.1038/s41598-018-37834-7.
Marciano L, Camerini A-L, Schulz PJ. The role of health literacy in diabetes knowledge, self-care, and glycemic control: a meta-analysis. J Gen Intern Med [internet]. 2019 [cited 2024 Dec 13];34(6):1007–17. Available from: https://pubmed.ncbi.nlm.nih.gov/30877457/. doi: 10.1007/s11606-019-04832-y.
Nugent TL, Galea AM, Sammut R. Health literacy, self-management and glycaemic control in persons living with type 2 diabetes mellitus: a cross-sectional study. Pract Diabetes [internet]. 2023 [cited 2024 Dec 18];40(4):28–34. Available from: https://www.researchgate.net/publication/372791009_Health_literacy_self-management_and_glycaemic_control_in_persons_living_with_type_2_diabetes_mellitus_a_cross-sectional_study. doi: 10.1002/pdi.2467.
Ebbeling CB, Feldman HA, Klein GL, Wong JMW, Bielak L, Steltz SK, et al. Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial. BMJ [internet]. 2018 [cited 2024 Dec 18];363:k4583. Available from: https://pubmed.ncbi.nlm.nih.gov/30429127/. doi: 10.1136/bmj.k4583.
Vasim I, Majeed CN, DeBoer MD. Intermittent fasting and metabolic health. Nutrients [Internet]. 2022 [cited 2024 Dec 8];14(3):631. Available from: https://www.mdpi.com/2072-6643/14/3/631. doi: 10.3390/nu14030631.
Wheatley SD, Deakin TA, Arjomandkhah NC, Hollinrake PB, Reeves TE. Low carbohydrate dietary approaches for people with Type 2 diabetes-A narrative review. Front Nutr [internet]. 2021 [cited 2024 Dec 12];8:687658. Available from: https://pubmed.ncbi.nlm.nih.gov/34336909/. doi: 10.3389/fnut.2021.687658.
Wagner E, Austin B, Korff V. Improving outcomes in chronic illness. Manage Care Q. 1996;4(2):12–25.
Oh R, Gilani B, Uppaluri KR. Low carbohydrate diet. Treasure Island: StatPearls; 2022
Srina S. Development of care model for diabetic type 2 by LINE application. J Res Health Inno Dev [internet]. 2021 [cited 2024 Dec 20];2(1):123-33. Available from: https://he01.tci-thaijo.org/index.php/jrhi/article/view/252511. (in Thai)
Polpuak P, Chutipanyapron N. Development of health behavior promotion model for controlling blood sugar levels in diabetic patients. BMJ [internet]. 2018 [cited 2024 Dec 20];35(3):348-59. Available from: https://he01.tci-thaijo.org/index.php/BMJ/article/view/201150. (in Thai)
Sirimai N, Chomnirat W. Health service system development for patients with uncontrolled type 2 diabetes mellitus at Namnao Hospital, Namnao district, Phetchabun province. RDHSJ [internet]. 2021 [cited 2024 Dec 23];14(3):57-70. Available from: https://he02.tci-thaijo.org/index.php/RDHSJ/article/view/253004/173064. (in Thai)
Cherdchutrakulkiat S, lillahkul N, Noin J. Development of a service management model for diabetic patients, Sam Ngam District Health Network, Phichit province. J Health Sci Thai [internet]. 2022 [cited 2024 Dec 23];31(6):1061-70. Available from: https://thaidj.org/index.php/JHS/article/view/12987. (in Thai)
Saringkarn S, Thipsut T, Munluan K. The control of sugar level among type 2 diabetic patients by an individual and family self-management. PHJ BUU [internet]. 2024 [cited 2024 Dec 23];19(1):68-80. Available from: https://he02.tci-thaijo.org/index.php/phjbuu/article/view/266839. (in Thai)
Pachariyanon W, Kessomboon P, Suwanmola L, Chongwarin S, Puhern N. Factors associated with poor control of diabetes mellitus. MKHJ [internet]. 2018 [cited 2024 Dec 11];15(1):118- 27. Available from: https://he02.tci-thaijo.org/index.php/MKHJ/article/view/204878. (in Thai)
Sroisong S, Rueankon A, Apichantramethakul K, Nunta N, Sukkaseam J. Perceived self-care behaviors among patients with type 2 diabetes mellitus and poor glycemic control. JPNC [internet]. 2018 [cited 2024 Dec 16];28(2):93-103. Available from: https://he01.tci-thaijo.org/index.php/pnc/article/view/118083. (in Thai)
Vasanth R, Ganesh A, Shanker R. Impact of stress on type 2 diabetes mellitus management. Psychiatr Danub. 2017;29(Suppl 3):416–21.
Kanaley JA, Colberg SR, Corcoran MH, Malin SK, Rodriguez NR, Crespo CJ, et al. Exercise/physical activity in individuals with type 2 diabetes: a consensus statement from the American College of Sports Medicine. Med Sci Sports Exerc [internet]. 2022;54(2):353–68. Available from: https://pubmed.ncbi.nlm.nih.gov/35029593/ doi: 10.1249/mss.0000000000002800.
Sudnongbua R. A comparison efficacy of telemedicine platform and traditional algorithm in patient with diabetes mellitus for control blood sugar in Mahachanachai Hospital Yasotorn Hospital. JCPH [internet]. 2024 [cited 2024 Dec 16];10(2):200-10. Available from: https://he02.tci-thaijo.org/index.php/ajcph/article/view/267773. (in Thai)
Chaiyasarn S. Developing a model for caring for diabetes patients using telemedicine in Trakan Phuet Phon district, Ubon Ratchathani province. Health Sci BCNSP [internet]. 2024 [cited 2024 Dec 17];8(2): e271076. Available from: https:// he01.tci-thaijo.org/index.php/bcnsp/article/view/271076. (in Thai)
Chiaranai C, Chularee S, Saokaew S, Bhatarasakoon P, Umnuaypornlert A, Chaomuang N, et al. Effectiveness of telehealth on the glycemic control of patients with type 2 diabetes mellitus during the COVID-19 pandemic: a systematic review and meta-analysis of randomised controlled trials. Int J Nurs Stud Adv [internet]. 2024 [cited 2024 Dec 16];6(100169):100169. Available from: https://pubmed.ncbi.nlm.nih.gov/38746799/. doi: 10.1016/j.ijnsa.2023.100169.
Borries TM, Dunbar A, Bhukhen A, Rismany J, Kilham J, Feinn R, et al. The impact of telemedicine on patient self-management processes and clinical outcomes for patients with types I or II diabetes mellitus in the United States: a scoping review. Diabetes & Metabolic Syndrome 2019 [cited 2024 Dec 16];13(2):1353–5. Available form: https://pubmed.ncbi.nlm.nih.gov/31336491/. doi: 10.1016/j.dsx.2019.02.014.
Chawla, S, Tessarolo Silva F, Amaral Medeiros S, Mekary R.A, Radenkovic D. The effect of low-fat and low-carbohydrate diets on weight loss and lipid levels: a systematic review and meta-ฟnalysis. Nutrients 2020 [cited 2024 Dec 16];12(12):3774. Available form: https://pubmed.ncbi.nlm.nih.gov/33317019/. doi: 10.3390/nu12123774.
Iatan I, Huang K, Vikulova D, Ranjan S, Brunham LR. Association of a low-carbohydrate high-fat diet with plasma lipid levels and cardiovascular risk. JACC Adv [internet]. 2024 [cited 2024 Dec 23];3(6):100924. Available from: https://pubmed.ncbi.nlm.nih.gov/39081652/. doi: 10.1016/j.jacadv.2024.100924.
Chiu S, Williams PT, Krauss RM. Effects of a very high saturated fat diet on LDL particles in adults with atherogenic dyslipidemia: a randomized controlled trial. PLoS One [internet]. 2017 [cited 2024 Dec 23];12(2):e0170664. Available from: https://pubmed.ncbi.nlm.nih.gov/28166253/. doi: 10.1371/ journal.pone.0170664.
Buzdagli Y, Tekin A, Eyipinar CD, Öget F, Siktar E. The effect of different types of exercise on blood lipid profiles: a meta-analysis of randomized controlled studies. Science & Sports [internet]. 2022 [cited 2024 Dec 23];37(8):675–87. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0765159722001861. doi: 10.1016/j.scispo.2022.07.005.
Meng H, Zhu L, Kord-Varkaneh H, O Santos H, Tinsley GM, Fu P. Effects of intermittent fasting and energy-restricted diets on lipid profile: a systematic review and meta-analysis. Nutrition [internet]. 2020 [cited 2024 Dec 17];77:110801. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0899900720300848.
Tay J, Thompson CH, Luscombe-Marsh ND, Wycherley TP, Noakes M, Buckley JD, et al. Effects of an energy-restricted low-carbohydrate, high unsaturated fat/low saturated fat diet versus a high-carbohydrate, low-fat diet in type 2 diabetes: a 2-year randomized clinical trial. Diabetes Obes Metab [internet]. 2018 [cited 2024 Dec 23];20(4):858–71. Available from: https://pubmed.ncbi.nlm.nih.gov/29178536/. doi: 10.1111/ dom.13164.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Health Systems Research

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Journal of Health Systems Research is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license, unless otherwise stated.