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Frequency Of Messages And Perceived Self-Efficacy For Treatment Among People Living With Hiv/Aids In Homa Bay County, Kenya

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Listed:
  • Catherine Mwangi

  • Professor Hellen Mberia

  • Paul Kimalu

  • Catherine Ngugi

  • Rogers Simiyu

  • Gordon Okomo

  • Collins Mukanya Mudogo

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.

Suggested Citation

  • Catherine Mwangi & Professor Hellen Mberia & Paul Kimalu & Catherine Ngugi & Rogers Simiyu & Gordon Okomo & Collins Mukanya Mudogo, 2021. "Frequency Of Messages And Perceived Self-Efficacy For Treatment Among People Living With Hiv/Aids In Homa Bay County, Kenya," International Journal of Communication and Public Relation, IPRJB, vol. 6(2), pages 1-16.
    • Handle: RePEc:bdu:ojijcp:v:6:y:2021:i:2:p:1-16:id:1286
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    References listed on IDEAS

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    1. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    2. repec:plo:pone00:0125187 is not listed on IDEAS
    3. Isaac Amankwaa & Daniel Boateng & Dan Yedu Quansah & Cynthia Pomaa Akuoko & Catrin Evans, 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, Public Library of Science, vol. 13(9), pages 1-20, September.
    4. repec:plo:pone00:0169162 is not listed on IDEAS
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