FREQUENCY OF MESSAGES AND PERCEIVED SELF-EFFICACY FOR TREATMENT AMONG PEOPLE LIVING WITH HIV/AIDS IN HOMA BAY COUNTY, KENYA
DOI:
https://doi.org/10.47604/ijcpr.1286Keywords:
Appointment adherence; HIV/AIDS; Self-efficacy; Text for adherence (T4A), Frequency of messages.Abstract
Purpose: The purpose of this study was to ascertain the effect of frequency of text messaging on perceived self-efficacy for treatment among people living with HIV/AIDS in Homa Bay County.
Methodology: The study used a quasi-experimental design. This involved a control and an intervention group to assess the effect of the text messaging. Data was collected using an interview schedule for participants and questionnaires for key informant interview. The study triangulated quantitative and qualitative data. Results shared in this paper are for the intervention group. Spearman's rho correlations and simple linear regression models were used to estimate the relationship between the independent variable (frequency of messages) and the dependent variable (self-efficacy), and ANOVA test was done to test the hypothesis and presented in tables and graphs. Qualitative data was analyzed thematically and narratives are provided under each section in verbatim.
Findings: The desired sample size for the intervention group was 317. Out which the study achieved 77.92 percent (n=247). Frequency of messages, did not yield a statistically significant relationship on perceived self-efficacy for appointment adherence (p<0.52; CI=95 per cent). However, receiving messages on a monthly basis had a significant but relatively week, inverse relationship with perceived self-efficacy (C= -0.181; p<0.02 ;< 0.05,). Qualitative findings established the messages were not boring
Unique Contribution to Theory, Practice and Policy: Frequency of messages may depend on other factors such as type and content of messages being sent. Individual characteristics such as the social environment, level of education and general interest of HIV information and ART adherence may also influence the frequency of messages. Mobile interventions should ensure that the right number of required messages is sent to patients for optimum utilization and achievement of the desired outcomes.
Downloads
References
Amankwaa, I., Boateng, D., Quansah, D., Y., Akuoko, C., P., & Evans, C. (2018). Effectiveness of short message services and voice call interventions for antiretroviral therapy adherence and other outcomes: A systematic review and meta-analysis. PLoS ONE 13(9): e0204091. https://doi.org/ 10.1371/journal.pone.0204091
Anglada-Martinez, H., Riu-Viladoms, G., Martin-Conde, M., Rovira-Illamola, M., Sotoca-Momblona, J. M., & Codina-Jane, C. (2015). Does mHealth increase adherence to medication? Results of a systematic review. International Journal of Clinical Practice, 69(1), 9-32. https://doi.org/10.1111/ijcp.12582
Badawy, S., Barrera, L., Sinno, M., Kaviany, S., O'Dwyer, L., & Kuhns, L. (2017). Text Messaging and Mobile Phone Apps as Interventions to Improve Adherence in Adolescents with Chronic Health Conditions: A Systematic Review. (G. Eysenbach, Ed.) JMIR MHEALTH AND UHEALTH, 5(5), 1-17. doi:10.2196/mhealth.7798
Bertozzi, S. Padian, N., Wegbrat, J., DeMaria, L., Feldman, B., Gayle, H., Gold, J.,Grant, R., & Isabel, M. (2006). HIV/AIDS Prevention and Treatment: in Diesease Contol Priorites in Developing Countries, 2nd Edition.
Bobrow, K., Farmer, A. J., Sprnger, D., Shanyinde, M., Yu, L., Brennan, T., . . . Levitt, N. (2016). Mobile Phone Text Messages to Support Treatment Adherence in Adults With High Blood Pressure (SMS-Text Adherence Support [StAR]) A Single-Blind, Randomized Trial. 592-600. doi:10.1161/CIRCULATIONAHA.115.017530
Deglise, C., Suggs, L. S., & Odermatt, P. (2012). SMS for disease control in developing countries: a systematic review of mobile health applications. J Telemed Telecare, 18(5), 273-281. doi:10.1258/jtt.2012.110810
Eshleman S. H., Mracna M., Guay L. A., Deseyve M., Cunningham S., Mirochnick M. et al. Selection and Fading of Resistance Mutations in Women and Infants Receiving Nevirapine to Prevent HIV-1 Vertical Transmission (HIVNET 012). AIDS. 2001;15(15):1951-57.
Fischer, J., E., Greenhalgh, C., & Benford, S. (2011). Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications. In: Byland M, Juhlin O, Fernaeus Y, editors. Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Service; Aug 30 -Sep 02; Stockholm, Sweden. New York, NY: ACM; 2011. p. 181-190.
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013). The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis. PLoS Medicine, 10(1). https://doi.org/10.1371/journal.pmed.1001363
Hall, A., Cole-Lewis, H., & Bernhardt J., M. (2015). Mobile Text Messaging for Health: A Systematic Review of Reviews. The Annual Review of Public Health. 36 :393-415.
Head, K., Noar, M., Iannairo,T., & Harrington, N.(2013). Efficcacy of Text Messaging-Based Interventions for Health Promotion: A Meta Analysis. Soc. Sci. Med(97), p 41-48.
Leon, N., Surender, R., Bobrow, K., Muller, J., & Farmer, A. (2015). Improving treatment adherence for blood pressure lowering via mobile phone SMS-messages in South Africa: a qualitative evaluation of the SMS-text Adherence SuppoRt (StAR) trial. BMC Family Practice, 16(1), 80. https://doi.org/10.1186/s12875-015-0289-7
Ministry of Health, & NASCOP. (2020). Kenya Population-Based HIV Impact Assessment (KENPHIA 2018). In KENPHIA (Vol. 10, Issue 2).
Mohammed, S., Islam, S., Lechner, A., Ferrari, U., Froeschl, G., Alam, D. S., Holle, R., Seissler, J., & Niessen, L. W. (2014). Mobile phone intervention for increasing adherence to treatment for type 2 diabetes in an urban area of Bangladesh : protocol for a randomized controlled trial. 1-9.
Morrison, L., G., Hargood, C., Pejovic, V., Geraghty, A., Lloyd, S., Goodman, N., et al. (2017). The Effect of Timing and Frequency of Push Notifications on Usage of a Smartphone-Based Stress Management Intervention: An Exploratory Trial. PLoS ONE 12(1): e0169162. https://doi.org/10.1371/journal.pone.0169162 pmid:28046034
National AIDS and STI Control Programme (NASCOP) Kenya. (2012). Kenya AIDS Indicator Survey 2012; Final Report. Nairobi, NASCOP.
National AIDS Control Council (NACC). (2018). Kenya HIV Estimates Report 2018. Ministry of Health, Kenya, 1-28. https://doi.org/10.1111/j.1365-2664.2007.0
PEPFAR. (2019). PEPFAR 2019 Country Operational Plan Guidance for all PEPFAR Countries. 447.
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived barriers and demographics. Journal of Business Research, 59, 999-1007. doi:10.1016/j.jbusres.2006.06.003
Rana, Y., Haberer, J., Huang, H., & Kambugu, A. (2015). Short Message Service ( SMS ) -Based Intervention to Improve Treatment Adherence among HIV-Positive Youth in Uganda : Focus Group Findings. 1-14. https://doi.org/10.1371/journal.pone.0125187
Riet, J., Ruiter, A., C., Werrij, M., Q., & Vries, H. D. (2008). The influence of self-efficacy on the effects of framed health messages. European Journal of Social Psychology (38), 800-809. DOI: 10.1002/ejsp.496
Riley, W. T., Rivera, D. E., Atienza, A. A, Nilsen, W., Allison, S. M., & Mermelstein, R. (2011). Health behavior models in the age of mobile interventions: Are our theories up to the task? Translational Behavioral Medicine 1(1), 53-71.
Sano, A., Johns, P., & Czerwinski, M. (2017). Designing Opportune Stress Intervention Delivery Timing using Multi-modal Data. 0-7.Schaecher KL. The importance of treatment adherence in HIV. Am J Manag Care. 2013 Sep;19(12 Suppl):s231-7. PMID: 24495293.
Sharma, P., & Agarwal, P. (2012). Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Retrieved from http://apps.who.int/rhl/hiv_aids/cd009756_sharmap_com/en/
UNAIDS. (2015). Understanding Fast-Track Accelerating Action to End the AIDS Epidemic by 2030.
World Health Organization Global Observatory for eHealth. (2010). Telemedicine: Opportunities and developments in Member States. Observatory, 2, 96. https://doi.org/10.4258/hir.2012.18.2.153
WHO (World Health Organization). 2002a. "Blood Safety: Aide-Memoire for National Blood Programmes." WHO, Geneva.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Catherine Mwangi, Professor Hellen Mberia, Paul Kimalu, Catherine Ngugi, Rogers Simiyu, Gordon Okomo, Collins Mukanya Mudogo
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.