Feasibility of an Activity Control System in Patients with Diabetes: A Study Protocol of a Randomised Controlled Trial

References

• Baena-Díez JM, Peñafiel J, Subirana I, et al. Risk of cause-specific death in individuals with diabetes: a competing risks analysis. Diabetes Care. 2016;39(11):1987–1995. doi:10.2337/dc16-0614
   PubMed Web of Science ®Google Scholar
• Hills AP, Misra A, Gill JMR, et al. Public health and health systems: implications for the prevention and management of type 2 diabetes in south Asia. Lancet Diabetes Endocrinol. 2018;6(12):992–1002. doi:10.1016/S2213-8587(18)30203-1
   PubMed Web of Science ®Google Scholar
• Cho NH, Shaw JE, Karuranga S, et al. IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–281. doi:10.1016/j.diabres.2018.02.023
   PubMed Web of Science ®Google Scholar
• Lazarou C, Panagiotakos D, Matalas AL. The role of diet in prevention and management of type 2 diabetes: implications for public health. Crit Rev Food Sci Nutr. 2012;52(5):382–389. doi:10.1080/10408398.2010.500258
   PubMed Web of Science ®Google Scholar
• Dambha-Miller H, Feldman AL, Kinmonth AL, Griffin SJ. Association between primary care practitioner empathy and risk of cardiovascular events and all-cause mortality among patients with type 2 diabetes: a population-based prospective cohort study. Ann Fam Med. 2019;17(4):311–318. doi:10.1370/afm.2421
   Web of Science ®Google Scholar
• Mueller C, Schauerte I, Martin S, Irrgang V. Evaluation of self-care activities and quality of life in patients with type 2 diabetes treated with metformin using the 2D matrix code of outer drug packages as patient identifier: the depro proof-of-concept observational study. JMIR Diabetes. 2022;7(2):e31832. doi:10.2196/31832
   Google Scholar
• Jamal A, Tharkar S, Babaier WS, et al. Blood glucose monitoring and sharing amongst people with diabetes and their facilitators: cross-sectional study of methods and practices. JMIR Diabetes. 2021;6(4):e29178. doi:10.2196/29178
   Google Scholar
• Shankaracharya Odedra D, Samanta S, Vidyarthi AS, Vidyarthi AS. Computational intelligence in early diabetes diagnosis: a review. Rev Diabet Stud. 2010;7(4):252–262. doi:10.1900/RDS.2010.7.252
   Google Scholar
• Negreiros FD, Da S, Araújo AL, et al. Digital technologies in the care of people with diabetes during the COVID-19 pandemic: a scoping review. Rev Esc Enferm USP. 2021;55:e20210295. doi:10.1590/1980-220x-reeusp-2021-0295
   Web of Science ®Google Scholar
• Moody L, Wood E, Needham A, Booth A, Jimenez-Aranda A, Tindale W. Identifying individual enablers and barriers to the use of digital technology for the self-management of long-term conditions by older adults. J Med Eng Technol. 2022;1–14. doi:10.1080/03091902.2022.2089249
   Google Scholar
• Correia JC, Waqas A, Aujoulat I, et al. Evolution of therapeutic patient education: a systematic scoping review and scientometric analysis. Int J Environ Res Public Health. 2022;19(10):6128. doi:10.3390/ijerph19106128
   Web of Science ®Google Scholar
• May SG, Huber C, Roach M, et al. Adoption of digital health technologies in the practice of behavioral health: qualitative case study of glucose monitoring technology. J Med Internet Res. 2021;23(2):e18119. doi:10.2196/18119
   Web of Science ®Google Scholar
• Garg S, Norman GJ. Impact of COVID-19 on health economics and technology of diabetes care: use cases of real-time continuous glucose monitoring to transform health care during a global pandemic. Diabetes Technol Ther. 2021;23(S1):S15–20. doi:10.1089/dia.2020.0656
   Web of Science ®Google Scholar
• Chan AW, Tetzlaff JM, Gøtzsche PC, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586–e7586. doi:10.1136/bmj.e7586
   PubMed Web of Science ®Google Scholar
• Beprevent. Beprevent - Conéctate con tu ser querido; 2020. Available from: https://beprevent.es/. Accessed August 13, 2022.
   Google Scholar
• Clark TL, Gallo L, Euyoque JA, Philis-Tsimikas A, Fortmann A. Does diabetes distress influence clinical response to an mhealth diabetes self-management education and support intervention? Diabetes Educ. 2020;0145721720913276. doi:10.1177/0145721720913276
   Web of Science ®Google Scholar
• Garcia AA, Villagomez ET, Brown SA, Kouzekanani K, Hanis CL. The Starr County diabetes education study: development of the Spanish-language diabetes knowledge questionnaire. Diabetes Care. 2001;24(1):16–21. doi:10.2337/diacare.24.1.16
   PubMed Web of Science ®Google Scholar
• Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–383. doi:10.1016/0021-9681(87)90171-8
   PubMedGoogle Scholar
• Nguyen TMU, La Caze A, Cottrell N. What are validated self-report adherence scales really measuring?: a systematic review. Br J Clin Pharmacol. 2014;77(3):427–445. doi:10.1111/bcp.12194
   PubMed Web of Science ®Google Scholar
• Val Jiménez A, Amorós Ballestero G, Martínez Visa P, Fernández Ferré ML, León Sanromà M. Descriptive study of patient compliance in pharmacologic antihypertensive treatment and validation of the Morisky and Green test. Aten Primaria. 1992;10(5):767–770. Spanish.
   PubMedGoogle Scholar
• Morisky DE, Green LW, Levine DM. 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
   PubMed Web of Science ®Google Scholar
• Caro-Bautista J, Morilla-Herrera JC, Villa-Estrada F, Cuevas-Fernández-Gallego M, Lupiáñez-Pérez I, Morales-Asencio JM. Spanish cultural adaptation and psychometric validation of the Summary of Diabetes Self-Care Activities measure (SDSCA) among persons with type 2 diabetes mellitus. Aten Primaria. 2016;48(7):458–467. Spanish. doi:10.1016/j.aprim.2015.08.005
   Web of Science ®Google Scholar
• Craig CL, Marshall AL, Sjöström M, et al. 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
   PubMed Web of Science ®Google Scholar
• Giné-Garriga M, Martin C, Martín C, et al. Referral from primary care to a physical activity programme: establishing long-term adherence? A randomized controlled trial. Rationale and study design. BMC Public Health. 2009;9(1):31. doi:10.1186/1471-2458-9-31
   Web of Science ®Google Scholar
• Mantilla Toloza SC, Gómez-Conesa A. El Cuestionario Internacional de Actividad Física. Un instrumento adecuado en el seguimiento de la actividad física poblacional. Revista Iberoamericana de Fisioterapia y Kinesiología. 2007;10(1):48–52. doi:10.1016/S1138-6045(07)73665-1
   Google Scholar
• Brooke J. SUS: a retrospective. J Usability Stud. 2013;8(2):29–40.
   Google Scholar
• Brooke J. SUS - A quick and dirty usability scale. Usability Eval Ind. 1996;189(194):4–7.
   Google Scholar
• Lucey NM. More Than Meets the I: User-Satisfaction Of Computer Systems [Unpublished thesis for Diploma in Applied Psychology]. Cork, Ireland: University College Cork; 1991.
   Google Scholar
• Kirakowski J. The use of questionnaire methods for usability assessment. Unpublished manuscript Recuperado el; 1994:12.
   Google Scholar
• Fernandez OV, Giráldez SL, Sáiz AG, García AO, Sánchez MA, Guttierrez Perez AM. Integrated psychological treatment for schizophrenic patients. Psicothema-Oviedo. 1998;10:459–474.
   Web of Science ®Google Scholar
• Torres A, Olivares JM. Validation of the Spanish version of the social functioning scale. Actas Esp Psiquiatr. 2005;33(4):216–220.
   PubMed Web of Science ®Google Scholar
• Holt RI. The role of telehealth and diabetes. Diabet Med. 2019;36(5):529–530. doi:10.1111/dme.13958
   Web of Science ®Google Scholar
• Seng JJB, Kwan YH, Lee VSY, et al. Differential health care use, diabetes-related complications, and mortality among five unique classes of patients with type 2 diabetes in Singapore: a latent class analysis of 71,125 patients. Diabetes Care. 2020;43(5):1048–1056. doi:10.2337/dc19-2519
   PubMed Web of Science ®Google Scholar
• Ahlqvist E, Storm P, Käräjämäki A, et al. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018;6(5):361–369. doi:10.1016/S2213-8587(18)30051-2
   PubMed Web of Science ®Google Scholar