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Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda

BACKGROUND: In an effort to improve access to proven maternal and newborn health interventions, Rwanda implemented a mobile phone (mHealth) monitoring system called RapidSMS. RapidSMS was scaled up across Rwanda in 2013. The objective of this study was to evaluate the impact of RapidSMS on the utili...

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Autores principales: Hategeka, Celestin, Ruton, Hinda, Law, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429813/
https://www.ncbi.nlm.nih.gov/pubmed/30949586
http://dx.doi.org/10.1186/s41256-019-0098-y
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author Hategeka, Celestin
Ruton, Hinda
Law, Michael R.
author_facet Hategeka, Celestin
Ruton, Hinda
Law, Michael R.
author_sort Hategeka, Celestin
collection PubMed
description BACKGROUND: In an effort to improve access to proven maternal and newborn health interventions, Rwanda implemented a mobile phone (mHealth) monitoring system called RapidSMS. RapidSMS was scaled up across Rwanda in 2013. The objective of this study was to evaluate the impact of RapidSMS on the utilization of maternal and newborn health services in Rwanda. METHODS: Using data from the 2014/15 Rwanda demographic and health survey, we identified a cohort of women aged 15–49 years who had a live birth that occurred between 2010 and 2014. Using interrupted time series design, we estimated the impact of RapidSMS on uptake of maternal and newborn health services including antenatal care (ANC), health facility delivery and vaccination coverage. RESULTS: Overall, the coverage rate at baseline for ANC (at least one visit), health facility delivery and vaccination was very high (> 90%). The baseline rate was 50.30% for first ANC visit during the first trimester and 40.57% for at least four ANC visits. We found no evidence that implementing RapidSMS was associated with an immediate increase in ANC (level change: -1.00% (95% CI: -2.30 to 0.29) for ANC visit at least once, -1.69% (95% CI: -9.94 to 6.55) for ANC (at least 4 visits), -3.80% (95% CI: -13.66 to 6.05) for first ANC visit during the first trimester), health facility delivery (level change: -1.79, 95% CI: -6.16 to 2.58), and vaccination coverage (level change: 0.58% (95%CI: -0.38 to 1.55) for BCG, -0.75% (95% CI: -6.18 to 4.67) for polio 0). Moreover, there was no significant trend change across the outcomes studied. CONCLUSION: Based on survey data, the implementation of RapidSMS did not appear to increase uptake of the maternal and newborn health services we studied in Rwanda. In most instances, this was because the existing level of the indicators we studied was very high (ceiling effect), leaving little room for potential improvement. RapidSMS may work in contexts where improvement remains to be made, but not for indicators that are already very high. As such, further research is required to understand why RapidSMS had no impact on indicators where there was enough room for improvement.
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spelling pubmed-64298132019-04-04 Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda Hategeka, Celestin Ruton, Hinda Law, Michael R. Glob Health Res Policy Research BACKGROUND: In an effort to improve access to proven maternal and newborn health interventions, Rwanda implemented a mobile phone (mHealth) monitoring system called RapidSMS. RapidSMS was scaled up across Rwanda in 2013. The objective of this study was to evaluate the impact of RapidSMS on the utilization of maternal and newborn health services in Rwanda. METHODS: Using data from the 2014/15 Rwanda demographic and health survey, we identified a cohort of women aged 15–49 years who had a live birth that occurred between 2010 and 2014. Using interrupted time series design, we estimated the impact of RapidSMS on uptake of maternal and newborn health services including antenatal care (ANC), health facility delivery and vaccination coverage. RESULTS: Overall, the coverage rate at baseline for ANC (at least one visit), health facility delivery and vaccination was very high (> 90%). The baseline rate was 50.30% for first ANC visit during the first trimester and 40.57% for at least four ANC visits. We found no evidence that implementing RapidSMS was associated with an immediate increase in ANC (level change: -1.00% (95% CI: -2.30 to 0.29) for ANC visit at least once, -1.69% (95% CI: -9.94 to 6.55) for ANC (at least 4 visits), -3.80% (95% CI: -13.66 to 6.05) for first ANC visit during the first trimester), health facility delivery (level change: -1.79, 95% CI: -6.16 to 2.58), and vaccination coverage (level change: 0.58% (95%CI: -0.38 to 1.55) for BCG, -0.75% (95% CI: -6.18 to 4.67) for polio 0). Moreover, there was no significant trend change across the outcomes studied. CONCLUSION: Based on survey data, the implementation of RapidSMS did not appear to increase uptake of the maternal and newborn health services we studied in Rwanda. In most instances, this was because the existing level of the indicators we studied was very high (ceiling effect), leaving little room for potential improvement. RapidSMS may work in contexts where improvement remains to be made, but not for indicators that are already very high. As such, further research is required to understand why RapidSMS had no impact on indicators where there was enough room for improvement. BioMed Central 2019-03-22 /pmc/articles/PMC6429813/ /pubmed/30949586 http://dx.doi.org/10.1186/s41256-019-0098-y Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hategeka, Celestin
Ruton, Hinda
Law, Michael R.
Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda
title Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda
title_full Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda
title_fullStr Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda
title_full_unstemmed Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda
title_short Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda
title_sort effect of a community health worker mhealth monitoring system on uptake of maternal and newborn health services in rwanda
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429813/
https://www.ncbi.nlm.nih.gov/pubmed/30949586
http://dx.doi.org/10.1186/s41256-019-0098-y
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