medigraphic.com
ISSN 2307-2113 (Electronic)
Revista Cubana de Información en Ciencias de la Salud (ACIMED)

2016, Number 3

<< Back Next >>

Revista Cubana de Información en Ciencias de la Salud (ACIMED) 2016; 27 (3)

Use of mobile health applications with Internal Medicine patients at the Regional Hospital of Duitama, Boyacá, Colombia

Santamaría PGA, Hernández REH, Suárez OF

Language: Spanish
References: 38
Page: 271-285
PDF size: 265.01 Kb.


ABSTRACT

A descriptive cross-sectional study was conducted with the purpose of identifying the use and acceptance of mobile health applications (apps) with adult patients attending the outpatient internal medicine service at a regional hospital. Data were collected from telephone interviews with a sample of 452 patients. Of the 452 patients interviewed, 87 (19 %) had smartphones, 82 used some sort of app (18.1 %, CI-95: 4.5-21.6 %) and only 11 had downloaded health apps (2.4 %, CI-95: 1-3.8 %). The apps most commonly used were for control of the menstrual cycle (6 cases; 54 % of the health apps), to monitor physical exercise (4 cases; 36 % of the health apps) and in only one case an app for birth control (9 % of the health apps). The following barriers were identified in relation to the use of the apps: not knowing how to use the mobile device in 181 cases (40 %, CI-95: 35-44 %), lack of access to the Internet in 95 cases (21 %, CI-95: 17-24 %), not knowing how to use the apps in 84 cases (18 %, CI-95: 14-22 %) and mistrust of the safety of the apps in 46 cases (10 %, CI-95: 7.3-12 %). Use of apps is low among the patients attending the outpatient internal medicine service. Additionally, access to smart mobile devices is lower than the national mean reported. The main access barriers are lack of knowledge about the use of the apps and lack of access to the technologies (access to the Internet and possession of smartphones).


REFERENCES

  1. Boulos MN, Brewer AC, Karimkhani C, Buller DB, Dellavalle RP. Mobile medical and health apps: state of the art, concerns, regulatory control and certification. Online J Public Health Inform. 2014;5(3):229.

  2. Blumberg SJ, Ganesh N, Luke JV, Gonzales G. Wireless substitution: state-level estimates from the National Health Interview Survey, 2012. Natl Health Stat Report. 2013(70):1-16.

  3. Lippi G, Plebani M. Laboratory applications for smartphones: risk or opportunity? Clin Biochem. 2011;44(4):273-4.

  4. Ministerio de Tecnologías de Información y Comunicación (MinTIC). Boletín Trimestral de las TIC. Julio 2015. 2015. p. 17-9.

  5. Ozdalga E, Ozdalga A, Ahuja N. The smartphone in medicine: a review of current and potential use among physicians and students. J Med Internet Res. 2012;14(5):e128.

  6. Lewis TL, Boissaud-Cooke MA, Aungst TD, Eysenbach G. Consensus on use of the term "App" versus "Application" for reporting of mHealth research. J Med Internet Res. 2014;16(7):e174.

  7. Boulos MN, Wheeler S, Tavares C, Jones R. How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed Eng Online. 2011;10:24.

  8. Ifrach B, Johari R. Pricing a bestseller: sales and visibility in the marketplace for mobile apps. ACM SIGMETRICS Performance Evaluation Review. 2014;41(4):51.

  9. Fox R, Cooley J, McGrath M, Hauswirth M. Mobile health apps - from singular to collaborative. Stud Health Technol Inform. 2012;177:158-63.

  10. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research: a decade of evolution. J Med Internet Res. 2013;15(5):e95.

  11. Payne KB, Wharrad H, Watts K. Smartphone and medical related App use among medical students and junior doctors in the United Kingdom (UK): a regional survey. BMC Med Inform Decis Mak. 2012;12:121.

  12. Kiser K. 25 ways to use your smartphone. Physicians share their favorite uses and apps. Minn Med. 2011;94(4):22-9.

  13. Whittaker R, McRobbie H, Bullen C, Borland R, Rodgers A, Gu Y. Mobile phonebased interventions for smoking cessation. Cochrane Database Syst Rev. 2012;11:CD006611.

  14. Fanning J, Mullen SP, McAuley E. Increasing physical activity with mobile devices: a meta-analysis. J Med Internet Res. 2012;14(6):e161.

  15. Marcano Belisario JS, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Database Syst Rev. 2013;11:CD010013.

  16. VonHoltz LA, Hypolite KA, Carr BG, Shofer FS, Winston FK, Hanson CW, 3rd, et al. Use of Mobile Apps: A Patient-centered Approach. Acad Emerg Med. 2015;22(6):765-8.

  17. BinDhim NF, Hawkey A, Trevena L. A systematic review of quality assessment methods for smartphone health apps. Telemed J E Health. 2015;21(2):97-104.

  18. Departamento Administrativo Nacional de Estadísticas (DANE). Indicadores básicos de tenencia y uso de tecnologías de la información y la comunicación en hogares, y personas de 5 y más años de edad, 2013. DANE. Boletín de prensa; 2014 [citado 20 de abril de 2016]. Disponible en: http://www.dane.gov.co/files/investigaciones/boletines/tic/bol_tic_2013.pdf

  19. Ministerio de Tecnologías de Información y Comunicación (MinTIC). Estudio de Consumo Digital (Techtracker) del Ministerio de las TIC e Ipsos Napoleón Franco. MinTIC, 2014 [citado 20 de abril de 2016]. Disponible en: http://www.mintic.gov.co/portal/604/w3-article-6048.html

  20. Katz RL. La infraestructura de América Latina y el Caribe: situación actual y prioridades para impulsar su desarrollo. Telecommunications Policy. 2011;17(6):415-30.

  21. Steele Gray C, Miller D, Kuluski K, Cott C. Tying eHealth Tools to Patient Needs: Exploring the Use of eHealth for Community-Dwelling Patients With Complex Chronic Disease and Disability. JMIR Res Protoc. 2014;3(4):e67.

  22. Scheibe M, Reichelt J, Bellmann M, Kirch W. Acceptance factors of mobile apps for diabetes by patients aged 50 or older: a qualitative study. Med 2 0. 2015;4(1):e1.

  23. Blaya JA, Fraser HS, Holt B. E-health technologies show promise in developing countries. Health Aff (Millwood). 2010;29(2):244-51.

  24. Seabrook HJ, Stromer JN, Shevkenek C, Bharwani A, de Grood J, Ghali WA. Medical applications: a database and characterization of apps in Apple iOS and Android platforms. BMC Res Notes. 2014;7:573.

  25. Mosa AS, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak. 2012;12:67.

  26. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M. Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis. J Med Internet Res. 2013;15(6):e120.

  27. Goh G, Tan NC, Malhotra R, Padmanabhan U, Barbier S, Allen JC, Jr., et al. Short-term trajectories of use of a caloric-monitoring mobile phone app among patients with type 2 diabetes mellitus in a primary care setting. J Med Internet Res. 2015;17(2):e33.

  28. Standing S, Standing C. Mobile technology and healthcare: the adoption issues and systemic problems. Int J Electron Health. 2008;4(3-4):221-35.

  29. Levin D. MHealth: promise and pitfalls. Front Health Serv Manage. 2012;29(2):33-9.

  30. Food and Drug Administration (FDA). Mobile medical applications: guidance for industry and Food and Drug Administration staff. EE.UU.: Food and Drug Administration; 2013.

  31. Chan SR, Misra S. Certification of mobile apps for health care. JAMA. 2014;312(11):1155-6.

  32. Powell AC, Landman AB, Bates DW. In search of a few good apps. JAMA. 2014;311(18):1851-2.

  33. Wolf JA, Moreau JF, Akilov O, Patton T, English JC, Ho J, et al. Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA Dermatol. 2013;149(4):422-6.

  34. Visvanathan A, Hamilton A, Brady RR. Smartphone apps in microbiology. Is better regulation required? Clin Microbiol Infect. 2012;18(7):E218-20.

  35. Carter T, O'Neill S, Johns N, Brady RR. Contemporary vascular smartphone medical applications. Ann Vasc Surg. 2013;27(6):804-9.

  36. Hickey E, McMillan B, Mitchell C. Practitioners should embrace, not ignore, health apps. BMJ. 2015;350:2336.

  37. Oviedo E, Fernández A. Tecnologías de la información y la comunicación en el sector salud: oportunidades y desafíos para reducir inequidades en América Latina y el Caribe: CEPAL; 2010.

  38. Castiel LD, Sanz-Valero J. El acceso a la información como determinante social de la salud. Nutr Hospit. 2010;25:26-30.




2020     |     www.medigraphic.com