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In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial

BACKGROUND: The WelTel Kenya1 trial demonstrated that text message support improved adherence to antiretroviral therapy (ART) and suppression of HIV-1 RNA load. The intervention involved sending weekly messages to patients inquiring how they were doing; participants were required to respond either t...

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Autores principales: van der Kop, Mia L., Karanja, Sarah, Thabane, Lehana, Marra, Carlo, Chung, Michael H., Gelmon, Lawrence, Kimani, Joshua, Lester, Richard T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457960/
https://www.ncbi.nlm.nih.gov/pubmed/23049928
http://dx.doi.org/10.1371/journal.pone.0046033
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author van der Kop, Mia L.
Karanja, Sarah
Thabane, Lehana
Marra, Carlo
Chung, Michael H.
Gelmon, Lawrence
Kimani, Joshua
Lester, Richard T.
author_facet van der Kop, Mia L.
Karanja, Sarah
Thabane, Lehana
Marra, Carlo
Chung, Michael H.
Gelmon, Lawrence
Kimani, Joshua
Lester, Richard T.
author_sort van der Kop, Mia L.
collection PubMed
description BACKGROUND: The WelTel Kenya1 trial demonstrated that text message support improved adherence to antiretroviral therapy (ART) and suppression of HIV-1 RNA load. The intervention involved sending weekly messages to patients inquiring how they were doing; participants were required to respond either that they were well or that there was a problem. OBJECTIVES: 1) Describe problems participants identified through mobile phone support and reasons why participants did not respond to the messages; 2) investigate factors associated with indicating a problem and not responding; and 3) examine participant perceptions of the intervention. DESIGN: Secondary analysis of WelTel Kenya1 trial data. METHODS: Reasons participants indicated a problem or did not respond were extracted from the study log. Negative binomial regression was used to determine participant characteristics associated with indicating a problem and non-response. Data from follow-up questionnaires were used to describe participant perceptions of the intervention. RESULTS: Between 2007 and 2009, 271 participants generated 11,873 responses; 377 of which indicated a problem. Health issues were the primary reason for problem responses (72%). Rural residence (adjusted incidence rate ratio [IRR] 1.96; 95%CI 1.19–3.25; p = 0.009 and age were associated with indicating a problem (adjusted IRR 0.63 per increase in age group category; 95%CI 0.50–0.80; p<0.001). Higher educational level was associated with a decreased rate of non-response (adjusted IRR 0.81; 95%CI 0.69–0.94; p = 0.005). Of participants interviewed, 62% (n = 129) stated there were no barriers to the intervention; cell phone issues were the most common barrier. Benefits included reminding patients to take medication and promoting a feeling that “someone cares”. CONCLUSIONS: The WelTel intervention enabled frequent communication between clinicians and patients during the WelTel Kenya1 trial. Many patients valued the service for the support it provided, with health-related concerns comprising the majority of problems identified by participants. Few sociodemographic characteristics were associated with participant engagement in the intervention.
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spelling pubmed-34579602012-10-03 In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial van der Kop, Mia L. Karanja, Sarah Thabane, Lehana Marra, Carlo Chung, Michael H. Gelmon, Lawrence Kimani, Joshua Lester, Richard T. PLoS One Research Article BACKGROUND: The WelTel Kenya1 trial demonstrated that text message support improved adherence to antiretroviral therapy (ART) and suppression of HIV-1 RNA load. The intervention involved sending weekly messages to patients inquiring how they were doing; participants were required to respond either that they were well or that there was a problem. OBJECTIVES: 1) Describe problems participants identified through mobile phone support and reasons why participants did not respond to the messages; 2) investigate factors associated with indicating a problem and not responding; and 3) examine participant perceptions of the intervention. DESIGN: Secondary analysis of WelTel Kenya1 trial data. METHODS: Reasons participants indicated a problem or did not respond were extracted from the study log. Negative binomial regression was used to determine participant characteristics associated with indicating a problem and non-response. Data from follow-up questionnaires were used to describe participant perceptions of the intervention. RESULTS: Between 2007 and 2009, 271 participants generated 11,873 responses; 377 of which indicated a problem. Health issues were the primary reason for problem responses (72%). Rural residence (adjusted incidence rate ratio [IRR] 1.96; 95%CI 1.19–3.25; p = 0.009 and age were associated with indicating a problem (adjusted IRR 0.63 per increase in age group category; 95%CI 0.50–0.80; p<0.001). Higher educational level was associated with a decreased rate of non-response (adjusted IRR 0.81; 95%CI 0.69–0.94; p = 0.005). Of participants interviewed, 62% (n = 129) stated there were no barriers to the intervention; cell phone issues were the most common barrier. Benefits included reminding patients to take medication and promoting a feeling that “someone cares”. CONCLUSIONS: The WelTel intervention enabled frequent communication between clinicians and patients during the WelTel Kenya1 trial. Many patients valued the service for the support it provided, with health-related concerns comprising the majority of problems identified by participants. Few sociodemographic characteristics were associated with participant engagement in the intervention. Public Library of Science 2012-09-25 /pmc/articles/PMC3457960/ /pubmed/23049928 http://dx.doi.org/10.1371/journal.pone.0046033 Text en © 2012 van der Kop et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
van der Kop, Mia L.
Karanja, Sarah
Thabane, Lehana
Marra, Carlo
Chung, Michael H.
Gelmon, Lawrence
Kimani, Joshua
Lester, Richard T.
In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial
title In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial
title_full In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial
title_fullStr In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial
title_full_unstemmed In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial
title_short In-Depth Analysis of Patient-Clinician Cell Phone Communication during the WelTel Kenya1 Antiretroviral Adherence Trial
title_sort in-depth analysis of patient-clinician cell phone communication during the weltel kenya1 antiretroviral adherence trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457960/
https://www.ncbi.nlm.nih.gov/pubmed/23049928
http://dx.doi.org/10.1371/journal.pone.0046033
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