Cargando…
Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15
BACKGROUND: The Integrated Disease Surveillance and Response (IDSR) strategy was introduced in Madagascar in 2007. Information was collected by Healthcare structures (HS) on paper forms and transferred to the central level by post or email. Completeness of data reporting was around 20% in 2009–10. F...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891931/ https://www.ncbi.nlm.nih.gov/pubmed/29631631 http://dx.doi.org/10.1186/s12913-018-3081-2 |
_version_ | 1783313078537945088 |
---|---|
author | Randriamiarana, Rado Raminosoa, Grégoire Vonjitsara, Nikaria Randrianasolo, Rivo Rasamoelina, Harena Razafimandimby, Harimahefa Rakotonjanabelo, Arthur Lamina Lepec, Richard Flachet, Loïc Halm, Ariane |
author_facet | Randriamiarana, Rado Raminosoa, Grégoire Vonjitsara, Nikaria Randrianasolo, Rivo Rasamoelina, Harena Razafimandimby, Harimahefa Rakotonjanabelo, Arthur Lamina Lepec, Richard Flachet, Loïc Halm, Ariane |
author_sort | Randriamiarana, Rado |
collection | PubMed |
description | BACKGROUND: The Integrated Disease Surveillance and Response (IDSR) strategy was introduced in Madagascar in 2007. Information was collected by Healthcare structures (HS) on paper forms and transferred to the central level by post or email. Completeness of data reporting was around 20% in 2009–10. From 2011, in two southern regions data were transmitted through short messages service using one telephone provider. We evaluated the system in 2014–15 to determine its performance before changing or expanding it. METHODS: We randomly selected 80 HS and interviewed their representatives face-to-face (42) or by telephone (38). We evaluated knowledge of surveillance activities and selected case definitions, number of SMS with erroneous or missing information among the last ten transferred SMS, proportion of weekly reports received in the last 4 weeks and of the last four health alerts notified within 48 h, as well as mobile phone network coverage. RESULTS: Sixty-four percent of 80 interviewed HS representatives didn’t know their terms of reference, 83% were familiar with the malaria case definition and 32% with that of dengue. Ninety percent (37/41) of visited HS had five or more errors and 47% had missing data in the last ten SMS they transferred. The average time needed for weekly IDSR data compilation was 24 min in the Southern and 47 in the South-eastern region. Of 320 expected SMS 232 (73%) were received, 136 (43%) of them in time. Out of 38 alerts detected, four were notified on time. Nine percent (7/80) of HS had no telephone network with the current provider. CONCLUSIONS: SMS transfer has improved IDSR data completeness, but timeliness and data quality remain a problem. Healthcare staff needs training on guidelines and case definitions. From 2016, data are collected and managed electronically to reduce errors and improve the system’s performance. |
format | Online Article Text |
id | pubmed-5891931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58919312018-04-11 Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15 Randriamiarana, Rado Raminosoa, Grégoire Vonjitsara, Nikaria Randrianasolo, Rivo Rasamoelina, Harena Razafimandimby, Harimahefa Rakotonjanabelo, Arthur Lamina Lepec, Richard Flachet, Loïc Halm, Ariane BMC Health Serv Res Research Article BACKGROUND: The Integrated Disease Surveillance and Response (IDSR) strategy was introduced in Madagascar in 2007. Information was collected by Healthcare structures (HS) on paper forms and transferred to the central level by post or email. Completeness of data reporting was around 20% in 2009–10. From 2011, in two southern regions data were transmitted through short messages service using one telephone provider. We evaluated the system in 2014–15 to determine its performance before changing or expanding it. METHODS: We randomly selected 80 HS and interviewed their representatives face-to-face (42) or by telephone (38). We evaluated knowledge of surveillance activities and selected case definitions, number of SMS with erroneous or missing information among the last ten transferred SMS, proportion of weekly reports received in the last 4 weeks and of the last four health alerts notified within 48 h, as well as mobile phone network coverage. RESULTS: Sixty-four percent of 80 interviewed HS representatives didn’t know their terms of reference, 83% were familiar with the malaria case definition and 32% with that of dengue. Ninety percent (37/41) of visited HS had five or more errors and 47% had missing data in the last ten SMS they transferred. The average time needed for weekly IDSR data compilation was 24 min in the Southern and 47 in the South-eastern region. Of 320 expected SMS 232 (73%) were received, 136 (43%) of them in time. Out of 38 alerts detected, four were notified on time. Nine percent (7/80) of HS had no telephone network with the current provider. CONCLUSIONS: SMS transfer has improved IDSR data completeness, but timeliness and data quality remain a problem. Healthcare staff needs training on guidelines and case definitions. From 2016, data are collected and managed electronically to reduce errors and improve the system’s performance. BioMed Central 2018-04-10 /pmc/articles/PMC5891931/ /pubmed/29631631 http://dx.doi.org/10.1186/s12913-018-3081-2 Text en © The Author(s). 2018 Open AccessThis 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 Article Randriamiarana, Rado Raminosoa, Grégoire Vonjitsara, Nikaria Randrianasolo, Rivo Rasamoelina, Harena Razafimandimby, Harimahefa Rakotonjanabelo, Arthur Lamina Lepec, Richard Flachet, Loïc Halm, Ariane Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15 |
title | Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15 |
title_full | Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15 |
title_fullStr | Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15 |
title_full_unstemmed | Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15 |
title_short | Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15 |
title_sort | evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of madagascar, 2014–15 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891931/ https://www.ncbi.nlm.nih.gov/pubmed/29631631 http://dx.doi.org/10.1186/s12913-018-3081-2 |
work_keys_str_mv | AT randriamiaranarado evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT raminosoagregoire evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT vonjitsaranikaria evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT randrianasolorivo evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT rasamoelinaharena evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT razafimandimbyharimahefa evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT rakotonjanabeloarthurlamina evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT lepecrichard evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT flachetloic evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 AT halmariane evaluationofthereinforcedintegrateddiseasesurveillanceandresponsestrategyusingshortmessageservicedatatransmissionintwosouthernregionsofmadagascar201415 |