Healthc Inform Res.  2018 Oct;24(4):292-299. 10.4258/hir.2018.24.4.292.

Preferences of ICT among Patients with Chronic Kidney Disease Undergoing Hemodialysis: An Ecuadorian Cross-Sectional Study

• Cherrez-Ojeda I
• Felix M
• Mata VL
• Vanegas E
• Gavilanes
• Chedraui P
• Simancas-Racines D
• Calderon J
• Ortiz F
• Blum G
• Plua A
• Gonzalez G
• Moscoso G
• Morquecho

• KMID: 2434544
• DOI: http://doi.org/10.4258/hir.2018.24.4.292

Abstract

OBJECTIVES
The aim of the present study was to assess the frequency of use, and preferences regarding information and communication technologies (ICTs) among Ecuadorian patients with chronic kidney disease (CKD) undergoing hemodialysis.
METHODS
We conducted an anonymous cross-sectional survey-based study from January 2016 to April 2017, involving 393 patients with end-stage renal disease from 9 hemodialysis centers, in which they rated their use and preferences of various ICTs through a modified version of the Michigan Questionnaire. The questionnaire collected information regarding demographics, patients' interest in obtaining health-related information through ICTs, and interest in using ICTs as a potential way to communicate with their healthcare providers. A chi-square test for association and adjusted regression analyses were performed.
RESULTS
Among all patients who participated, 64.3% reported owning a cellphone, with less than a third reporting active Internet connection. The most used ICT for obtaining information about CKD and/or hemodialysis was web-based Internet, followed by YouTube. SMS was rated the highest to receive and seek health-related information, followed by Facebook. Younger age and higher levels of education were associated with a higher overall usage of ICTs. Finally, more than half of the patients reported interest in using WhatsApp for communicating with their healthcare providers.
CONCLUSIONS
Understanding the preferences of ICTs among patients with CKD undergoing hemodialysis could help to improve their outcomes through the potential uses and benefits of ICTs. Further research is needed to assess their role in improving the care of patients with chronic diseases.

Keyword

Chronic Kidney Diseases; Renal Dialysis; Medical Informatics; Social Media; Internet

MeSH Terms

Anonyms and Pseudonyms
Chronic Disease
Cross-Sectional Studies*
Demography
Education
Health Personnel
Humans
Internet
Kidney Failure, Chronic
Medical Informatics
Michigan
Renal Dialysis*
Renal Insufficiency, Chronic*
Social Media

Figure

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  Figure 1 Information and communication technologies usage and preferences among patients with chronic kidney disease (CKD) undergoing hemodialysis.

Reference

1. Braun L, Sood V, Hogue S, Lieberman B, Copley-Merriman C. High burden and unmet patient needs in chronic kidney disease. Int J Nephrol Renovasc Dis. 2012; 5:151–163.

2. White SL, Chadban SJ, Jan S, Chapman JR, Cass A. How can we achieve global equity in provision of renal replacement therapy? Bull World Health Organ. 2008; 86(3):229–237.

3. Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int. 2011; 80(12):1258–1270.

4. Tonelli M, Wiebe N, Culleton B, House A, Rabbat C, Fok M, et al. Chronic kidney disease and mortality risk: a systematic review. J Am Soc Nephrol. 2006; 17(7):2034–2047.

5. Rosa-Diez G, Gonzalez-Bedat M, Pecoits-Filho R, Marinovich S, Fernandez S, Lugon J, et al. Renal replacement therapy in Latin American end-stage renal disease. Clin Kidney J. 2014; 7(4):431–436.

6. Soman SS, Yee J. Nephrology and telehealth: now? or now! Adv Chronic Kidney Dis. 2017; 24(1):1–3.

7. Bonner A, Gillespie K, Campbell KL, Corones-Watkins K, Hayes B, Harvie B, et al. Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study. BMC Nephrol. 2018; 19(1):28.

8. Lee YL, Cui YY, Tu MH, Chen YC, Chang P. Mobile health to maintain continuity of patient-centered care for chronic kidney disease: content analysis of apps. JMIR Mhealth Uhealth. 2018; 6(4):e10173.

9. Mercado-Martinez FJ, Urias-Vazquez JE. Hispanic American kidney patients in the age of online social networks: content analysis of postings, 2010 - 2012. Rev Panam Salud Publica. 2014; 35(5-6):392–398.

10. Baptist AP, Thompson M, Grossman KS, Mohammed L, Sy A, Sanders GM. Social media, text messaging, and email-preferences of asthma patients between 12 and 40 years old. J Asthma. 2011; 48(8):824–830.

11. Tuot DS, Boulware LE. Telehealth applications to enhance CKD knowledge and awareness among patients and providers. Adv Chronic Kidney Dis. 2017; 24(1):39–45.

12. Diamantidis CJ, Becker S. Health information technology (IT) to improve the care of patients with chronic kidney disease (CKD). BMC Nephrol. 2014; 15:7.

13. Mehrotra R, Kermah D, Fried L, Adler S, Norris K. Racial differences in mortality among those with CKD. J Am Soc Nephrol. 2008; 19(7):1403–1410.

14. Hsu CY, Lin F, Vittinghoff E, Shlipak MG. Racial differences in the progression from chronic renal insufficiency to end-stage renal disease in the United States. J Am Soc Nephrol. 2003; 14(11):2902–2907.

15. Lopez MH, Gonzalez-Barrera A, Patten E. Closing the digital divide: Latinos and technology adoption [Internet]. Washington (DC): Pew Research Center;2013. cited at 2018 Oct 1. Available from: http://www.pewhispanic.org/2013/03/07/closing-the-digital-dividelatinos-and-technology-adoption/.

16. Schatell D, Wise M, Klicko K, Becker BN. In-center hemodialysis patients' use of the internet in the United States: a national survey. Am J Kidney Dis. 2006; 48(2):285–291.

17. Thakkar J, Kurup R, Laba TL, Santo K, Thiagalingam A, Rodgers A, et al. Mobile telephone text messaging for medication adherence in chronic disease: a meta-analysis. JAMA Intern Med. 2016; 176(3):340–349.

18. Kaplan WA. Can the ubiquitous power of mobile phones be used to improve health outcomes in developing countries? Global Health. 2006; 2:9.

19. Goldstein K, Briggs M, Oleynik V, Cullen M, Jones J, Newman E, et al. Using digital media to promote kidney disease education. Adv Chronic Kidney Dis. 2013; 20(4):364–369.

20. Smith R, Koehlmoos TP. Provision of health information for all. BMJ. 2011; 342:d4151.

21. Sarkar U, Karter AJ, Liu JY, Adler NE, Nguyen R, Lopez A, et al. Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access. J Am Med Inform Assoc. 2011; 18(3):318–321.

22. Romano MF, Sardella MV, Alboni F, Russo L, Mariotti R, Nicastro I, et al. Is the digital divide an obstacle to e-health? An analysis of the situation in Europe and in Italy. Telemed J E Health. 2015; 21(1):24–35.

23. Lockwood M, Saunders M, Josephson MA, Becker YT, Lee C. Determinants of frequent Internet use in an urban kidney transplant population in the United States: characterizing the digital divide. Prog Transplant. 2015; 25(1):9–17.

24. Repique RJ. Digital natives, digital immigrants: dichotomy or diversity in psychiatric nursing? J Am Psychiatr Nurses Assoc. 2013; 19(2):100–101.

25. Organisation for Economic Co-operation and Development (OECD). Understanding the digital divide. Paris: OECD;2001.

26. Cherrez-Ojeda I, Vanegas E, Calero E, Plaza K, Cano JA, Calderon JC, et al. What kind of information and communication technologies do patients with Type 2 diabetes mellitus prefer? An Ecuadorian cross-sectional study. Int J Telemed Appl. 2018; 2018:3427389.

27. Cherrez Ojeda I, Calderon JC, Jove OL, Guerreros A, Plaza KJ, Cano JA, et al. What kind of information and communication technologies do patients with COPD prefer to use? A cross-sectional study in Latin America. Chron Respir Dis. 2018; 15(3):286–295.

28. Garg N, Venkatraman A, Pandey A, Kumar N. YouTube as a source of information on dialysis: a content analysis. Nephrology (Carlton). 2015; 20(5):315–320.

29. Young K. WhatsApp usage highest in LatAm [Internet]. London: GlobalWebIndex;2016. cited at 2018 Oct 1. Available from: https://blog.globalwebindex.com/chartof-the-day/whatsapp-usage-highest-in-latam/.

30. Jawad M, Abass J, Hariri A, Akl EA. Social media use for public health campaigning in a low resource setting: the case of waterpipe tobacco smoking. Biomed Res Int. 2015; 2015:562586.