Development of an information system and mobile application for the care of type 2 diabetes patients at the primary care level for the health sector in Mexico: study protocol for a randomized controlled, open-label trial

Noël C Barengo, Leticia Manuel Apolinar, Norma A Estrada Cruz, José E Fernández Garate, Roberto A Correa González, Paula A Diaz Valencia, Cecilia Alicia Cinco Gonzalez, José Alberto Gómez Rodriguez, Nelly Cisneros González, SANENT Study Group, Maria L Arellano Flores, Mercedes E Ledesma Muñoz, Diana A Gonzalez Sotelo, Oscar M Davila Maldonado, Jhoana G Gomez Garcia, Francisco J Laureano Hernandez, Julio Eduardo Zarazua Jimenez, Brenda A Pulido Garcia, Hector Rodriguez Vazquez, Alexis A Ramirez Dorantes, Liliana A Gonzalez Fierro, Juan C Hernandez Hernandez, Jorge Zenil Perez, Noël C Barengo, Leticia Manuel Apolinar, Norma A Estrada Cruz, José E Fernández Garate, Roberto A Correa González, Paula A Diaz Valencia, Cecilia Alicia Cinco Gonzalez, José Alberto Gómez Rodriguez, Nelly Cisneros González, SANENT Study Group, Maria L Arellano Flores, Mercedes E Ledesma Muñoz, Diana A Gonzalez Sotelo, Oscar M Davila Maldonado, Jhoana G Gomez Garcia, Francisco J Laureano Hernandez, Julio Eduardo Zarazua Jimenez, Brenda A Pulido Garcia, Hector Rodriguez Vazquez, Alexis A Ramirez Dorantes, Liliana A Gonzalez Fierro, Juan C Hernandez Hernandez, Jorge Zenil Perez

Abstract

Background: Providing optimal care for type 2 diabetes (DM2) patients remains a challenge for all healthcare systems. Patients often encounter various barriers in adhering to self-management programs due to lack of knowledge and understanding of self-care activities, lack of individualized and coordinated care, inconvenient and costly education sessions, and poor patient-provider communication. Mobile technologies such as cell phones/smartphones, handheld tablets, and other wireless devices offer new and exciting opportunities for addressing some of these challenges. The purpose of this study is to compare a diabetes management strategy using an information board and a mobile application versus standard care in patients with uncontrolled DM2.

Method: The SANENT (Sistema de Análisis de Enfermedades No Transmisibles) trial is a primary care-based, prospective, two-arm, randomized controlled, open-label, blinded-endpoint study. We aim to recruit 1440 DM2 patients during a period of 6 months until the requested number of participants has been achieved. The total length of the intervention will be 1 year. Both men and women treated for DM2 with an HbA1c > 8.5% and ≥ 20 years of age are eligible to participate in the study. The primary outcome of the study is improved diabetes control measured by changes in HbA1c in the study participants. HbA1c will be measured at baseline, 3-month, 6-month, 9-month, and 12-month follow-up visits in all participants. The main analysis will be based on the intention-to-treat principle. The primary endpoint of the study will be the change in HbA1C within the groups and the differences between the groups. This will be assessed by a repeated measurement approach based on mixed models which contain both fixed effects and random effects.

Discussion: The overall goal of this project is to contribute to the evidence for the use of mobile technology to improve the treatment and regulation of poorly controlled DM2 patients living in Mexico. Our proposed project will show how mobile health technology tools can be used in the treatment of patients with uncontrolled DM2 in primary health care in a Latin American population, and particularly how they could help diabetes patients take better care of themselves.

Trial registration: ClinicalTrials.gov , US National Institutes of Health NCT04974333 . Prospectively registered on July 13, 2021. Protocol version number 1, dated August 15th, 2021.

Keywords: Control; Primary care; Telemedicine; Treatment compliance; Type 2 diabetes; mHealth.

Conflict of interest statement

The authors declare that they have no competing interests

© 2022. The Author(s).

References

    1. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, Colagiuri S, Guariguata L, Motala AA, Ogurtsova K, Shaw JE, Bright D, Williams R, IDF Diabetes Atlas Committee 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. 2019;157:107843. doi: 10.1016/j.diabres.2019.107843\.
    1. International Diabetes Federation . IDF Diabetes Atlas. 10. Brussels, Belgium: International Diabetes Federation; 2021.
    1. Tuomilehto J, Rastenyte D, Qiao Q, Jakovljevic D. Epidemiology of macrovascular disease and hypertension in diabetes mellitus. In International Textbook of Diabetes Mellitus, 3rd edn (De Fronso, R. A., Ferrannini, E., Keen, H. & Zimmet, P. eds) 1345–1370 (John Wiley & Sons, Chichester, UK, 2004).
    1. Barengo NC, Katoh S, Moltchanov S, Tajima N, Tuomilehto J. The diabetes-cardiovascular risk paradox: results from a Finnish population-based prospective study. Eur Heart J. 2008;29(15):1889–1895. doi: 10.1093/eurheartj/ehn250.
    1. Manuel D, Schultz S. Health-related quality of life and health-adjusted life expectancy of people with diabetes mellitus in Ontario, Canada, 1996–1997. Diabetes Care. 2004;27(2):407–414. doi: 10.2337/diacare.27.2.407.
    1. WHO. Global status report on noncommunicable diseases. Geneva: World Health Organization. 2014:2014.
    1. WHO. Global Health Estimates: Deaths by Cause, Age, Sex and Country, 2000±2012. Geneva: World Health Organization; 2014.
    1. Kitsiou S, Paré G, Jaana M, Gerber B. Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews. PLoS One. 2017;12(3):e0173160. doi: 10.1371/journal.pone.0173160.
    1. Wild SH, Hanley J, Lewis SC, McKnight JA, McCloughan LB, Padfield PL, Parker RA, Paterson M, Pinnock H, Sheikh A, McKinstry B. Supported Telemonitoring and Glycemic Control in People with Type 2 Diabetes: The Telescot Diabetes Pragmatic Multicenter Randomized Controlled Trial. PLoS Med. 2016;13(7):e1002098. doi: 10.1371/journal.pmed.1002098.
    1. Powers MA, Bardsley J, Cypress M, Duker P, Funnell MM, Fischl AH, Maryniuk MD, Siminerio L, Vivian E. Diabetes self-management education and support in type 2 diabetes: a joint position statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics. Diabetes Educ. 2015;41(4):417–430. doi: 10.2337/dc15-0730.
    1. UK Prospective Diabetes Study (UKPDS) Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS) 33. Lancet 1998;352:837–851, 9131, DOI: 10.1016/S0140-6736(98)07019-6.
    1. The Diabetes Control and Complications Trial Research Group The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus. N Engl J Med. 1993;329(14):977–986. doi: 10.1056/NEJM199309303291401.
    1. Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, Hadden D, Turner RC, Holman RR. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321(7258):405–412. doi: 10.1136/bmj.321.7258.405.
    1. Hua X, Lung TW-C, Palmer A, Si L, William H. Herman, Philip Clarke How Consistent is the Relationship between Improved Glucose Control and Modelled Health Outcomes for People with Type 2 Diabetes Mellitus? a Systematic Review. Pharmacoeconomics. 2017;35(3):319–329. doi: 10.1007/s40273-016-0466-0.
    1. Baxter M. R. Hudson R, Mahon J, Bartlett C, Samyshkin Y, Alexiou D, Hex N. Estimating the impact of better management of glycaemic control in adults with Type 1 and Type 2 diabetes on the number of clinical complications and the associated financial benefit. Diabet Med. 2016;33(11):1575–1581. doi: 10.1111/dme.13062.
    1. Muralidharan S, Ranjani H, Anjana RM, Allender S, Mohan V. Mobile Health Technology in the Prevention and Management of Type 2 Diabetes. Indian J Endocrinol Metab. 2017;21(2):334–340. doi: 10.4103/ijem.IJEM_407_16.
    1. Klonoff DC. The current status of mHealth for diabetes: Will it be the next big thing? J Diabetes Sci Technol. 2013;7(3):749–758. doi: 10.1177/193229681300700321.
    1. Hangaard S, Laursen SH, Andersen JD, Kronborg T, Vestergaard P, Hejlesen O, Udsen FW. The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression. J Diabetes Sci Technol. 2021;26:19322968211064633. doi: 10.1177/19322968211064633.
    1. Chan A-W, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin J, Dickersin K, Hróbjartsson A, Schulz KF, Parulekar WR, Krleža-Jerić K, Laupacis A, Moher D. SPIRIT 2013 Explanation and Elaboration: Guidance for protocols of clinical trials. BMJ. 2013;346(jan08 15):e7586. doi: 10.1136/bmj.e7586.
    1. Fernández GJE, Cisneros GN, Manuel AL, Basurto AML, Arellano FML, Correa GRA, et al. Clinical Characterization and Frequencies of Acute and Chronic Complications in Diabetes. J Diab Metab. 2020;11:858. doi: 10.35248/2155-6156.20.11.858.
    1. Zurita-Cruz JN, Manuel-Apolinar L, Arellano-Flores ML, Gutiérrez A, Rivera-Hernández A, Carranza-Muleiro RA, et al. Type 2 diabetes: epidemiological changes at Instituto Mexicano del Seguro Social associated with complications in Mexico. Int J Diabetes Dev Countries. 2019. 10.1007/s13410-019-00767-6.
    1. Zurita-Cruz JN, Manuel-Apolinar L, Arellano-Flores ML, Gutierrez-Gonzalez A, Najera AG, Cisneros-Gonzalez N. Health and quality of life outcomes impairment of quality of life in type 2 diabetes mellitus: a cross-sectional study. Health Qual Life Outcomes. 2018;16(1):94. doi: 10.1186/s12955-018-0906-y.
    1. Morisky D, Green L, Levine D. Concurrent and predictive validity of a self-reported measure of medication adherence. Med. Care. 1986;24(1):67–74. doi: 10.1097/00005650-198601000-00007.
    1. Burholt V, Nash P. Short Form 36 (SF-36) Health Survey Questionnaire: normative data for Wales. J Public Health. 2011;33(4):587–603. doi: 10.1093/pubmed/fdr006.
    1. Shamah-Levy T, Mejía-Rodríguez F, García Guerra A, Visuet-Vega I, Méndez Gómez-Humarán I. Martínez Domínguez, De la Cruz-Góngora V. Comportamiento y factores asociados con la anemia en mujeres mexicanas en edad fértil. Ensanut 2018-19. Salud Publica Mex. 2020;62(6):767–776. doi: 10.21149/11866.
    1. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–1395. doi: 10.1249/01.MSS.0000078924.61453.FB.
    1. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988;56(6):893–897. doi: 10.1037/0022-006X.56.6.893.
    1. Beck AT, Steer RA, Brown GK. anual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation; 1996.
    1. Goyal S, Cafazzo JA. Mobile phone health apps for diabetes management: current evidence and future developments. QJM. 2013;106(12):1067–1069. doi: 10.1093/qjmed/hct203.
    1. Cafazzo JA, Casselman M, Hamming N, Katzman DK, Palmert MR. Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study. J Med Internet Res. 2012; 14(3):e70. doi: 10.2196/jmir.2058. doi: 10.1093/qjmed/hct203. Epub 2013 Oct 8.
    1. Huffman M. Health coaching: a new and exciting technique to enhance patient self-management and improve outcomes. Home Healthc Nurse. 2007;25(4):271–274. doi: 10.1097/01.NHH.0000267287.84952.8f.
    1. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiologic Reviews. 2010;32(1):56–69. doi: 10.1093/epirev/mxq004.
    1. de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev. 2012;12:CD007459. doi: 10.1002/14651858.CD007459.
    1. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, Patel V, Haines A. The effectiveness of mobile-health technology- based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362. doi: 10.1371/journal.pmed.1001362.
    1. Herbert L, Owen V, Pascarella L, Streisand R. Text message interventions for children and adolescents with type 1 diabetes: A systematic review. Diabetes Technol Ther. 2013;15(5):362–370. doi: 10.1089/dia.2012.0291.
    1. Holtz B, Lauckner C. Diabetes management via mobile phones: a systematic review. Telemed J E Health. 2012;18(3):175–184. doi: 10.1089/tmj.2011.0119.
    1. Krishna S, Boren SA. Diabetes self-management care via cell phone: a systematic review. J Diabetes Sci Technol. 2008;2(3):509–517. doi: 10.1177/193229680800200324.
    1. Krishna S, Boren SA, Balas EA. Healthcare via cell phones: A systematic review. Telemedicine e- Health. 2009;15(3):231–240. doi: 10.1089/tmj.2008.0099.
    1. Liang X, Wang Q, Yang X, Cao J, Chen J, Mo X, Huang J, Wang L, Gu D. Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabet Med. 2011;28(4):455–463. doi: 10.1111/j.1464-5491.2010.03180.x.
    1. Pal K, Eastwood SV, Michie S, Farmer AJ, Barnard ML, Peacock R, Wood B, Inniss JD, Murray E, Cochrane Metabolic and Endocrine Disorders Group Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus. Cochrane Database Syst Rev. 2013;3(3):CD008776. doi: 10.1002/14651858.CD008776.pub2.
    1. Russell-Minda E, Jutai J, Speechley M, Bradley K, Chudyk A, Petrella R. Health technologies for monitoring and managing diabetes: a systematic review. J Diabetes Sci Technol. 2009;3(6):1460–1471. doi: 10.1177/193229680900300628.
    1. Saffari M, Ghanizadeh G, Koenig HG. Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis. Prim Care Diabetes. 2014;8(4):275–285. doi: 10.1016/j.pcd.2014.03.004.
    1. Sutcliffe P, Martin S, Sturt J, Powell J, Griffiths F, Adams A, Dale J. Systematic review of communication technologies to promote access and engagement of young people with diabetes into healthcare. BMC Endocr Disord. 2011;11(1):1. doi: 10.1186/1472-6823-11-1.
    1. Tao D, Or CK. Effects of self-management health information technology on glycaemic control for patients with diabetes: a meta-analysis of randomized controlled trials. J Telemed Telecare. 2013;19(3):133–143. doi: 10.1177/1357633X13479701.
    1. Fortmann AL, Gallo LC, Garcia MI, Taleb M, Euyoque JA, Clark T, Skidmore J, Ruiz M, Dharkar-Surber S, Schultz J, Philis-Tsimikas A. Dulce Digital: An mHealth SMS-Based Intervention Improves Glycemic Control in Hispanics With Type 2 Diabetes. Diabetes Care. 2017;40(10):1349–1355. doi: 10.2337/dc17-0230.
    1. Napolitano MA, Hayes S, Russo G, Muresu D, Giordano A, Foster GD. Using avatars to model weight loss behaviors: participant attitudes and technology development. J Diabetes Sci Technol. 2013;7(4):1057–1065. doi: 10.1177/193229681300700430.
    1. Williams JP, Schroeder D. Popular Glucose Tracking Apps and Use of mHealth by Latinos With Diabetes: Review. JMIR Mhealth Uhealth. 2015;3(3):e84. doi: 10.2196/mhealth.3986.

Source: PubMed

3
Se inscrever