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Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia

BACKGROUND: A sentinel hospital-based severe acute respiratory infection (SARI) surveillance system was established in Indonesia in 2013. Deciding on the number, geographic location and hospitals to be selected as sentinel sites was a challenge. Based on the recently published WHO guideline for infl...

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Autores principales: Susilarini, Ni Ketut, Sitorus, Martahan, Praptaningsih, Catharina Yekti, Sampurno, Ondri Dwi, Bratasena, Arie, Mulyadi, Ester, Rusli, Roselinda, Fandil, Ahmad, Mangiri, Amalya, Apsari, Hana, Hariyanto, Edy, Samaan, Gina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179842/
https://www.ncbi.nlm.nih.gov/pubmed/25248619
http://dx.doi.org/10.1186/1472-6963-14-424
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author Susilarini, Ni Ketut
Sitorus, Martahan
Praptaningsih, Catharina Yekti
Sampurno, Ondri Dwi
Bratasena, Arie
Mulyadi, Ester
Rusli, Roselinda
Fandil, Ahmad
Mangiri, Amalya
Apsari, Hana
Hariyanto, Edy
Samaan, Gina
author_facet Susilarini, Ni Ketut
Sitorus, Martahan
Praptaningsih, Catharina Yekti
Sampurno, Ondri Dwi
Bratasena, Arie
Mulyadi, Ester
Rusli, Roselinda
Fandil, Ahmad
Mangiri, Amalya
Apsari, Hana
Hariyanto, Edy
Samaan, Gina
author_sort Susilarini, Ni Ketut
collection PubMed
description BACKGROUND: A sentinel hospital-based severe acute respiratory infection (SARI) surveillance system was established in Indonesia in 2013. Deciding on the number, geographic location and hospitals to be selected as sentinel sites was a challenge. Based on the recently published WHO guideline for influenza surveillance (2012), this study presents the process for hospital sentinel site selection. METHODS: From the 2,165 hospitals in Indonesia, the first step was to shortlist to hospitals that had previously participated in respiratory disease surveillance systems and had acceptable surveillance performance history. The second step involved categorizing the shortlist according to five regions in Indonesia to maximize geographic representativeness. A checklist was developed based on the WHO recommended attributes for sentinel site selection including stability, feasibility, representativeness and the availability of data to enable disease burden estimation. Eight hospitals, a maximum of two per geographic region, were visited for checklist administration. Checklist findings from the eight hospitals were analyzed and sentinel sites selected in the third step. RESULTS: Six hospitals could be selected based on resources available to ensure system stability over a three-year period. For feasibility, all eight hospitals visited had mechanisms for specimen shipment and the capacity to report surveillance data, but two had limited motivation for system participation. For representativeness, the eight hospitals were geographically dispersed around Indonesia, and all could capture cases in all age and socio-economic groups. All eight hospitals had prerequisite population data to enable disease burden estimation. The two hospitals with low motivation were excluded and the remaining six were selected as sentinel sites. CONCLUSIONS: The multi-step process enabled sentinel site selection based on the WHO recommended attributes that emphasize right-sizing the surveillance system to ensure its stability and maximizing its geographic representativeness. This experience may guide other countries interested in adopting WHO’s influenza surveillance standards for sentinel site selection.
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spelling pubmed-41798422014-10-01 Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia Susilarini, Ni Ketut Sitorus, Martahan Praptaningsih, Catharina Yekti Sampurno, Ondri Dwi Bratasena, Arie Mulyadi, Ester Rusli, Roselinda Fandil, Ahmad Mangiri, Amalya Apsari, Hana Hariyanto, Edy Samaan, Gina BMC Health Serv Res Research Article BACKGROUND: A sentinel hospital-based severe acute respiratory infection (SARI) surveillance system was established in Indonesia in 2013. Deciding on the number, geographic location and hospitals to be selected as sentinel sites was a challenge. Based on the recently published WHO guideline for influenza surveillance (2012), this study presents the process for hospital sentinel site selection. METHODS: From the 2,165 hospitals in Indonesia, the first step was to shortlist to hospitals that had previously participated in respiratory disease surveillance systems and had acceptable surveillance performance history. The second step involved categorizing the shortlist according to five regions in Indonesia to maximize geographic representativeness. A checklist was developed based on the WHO recommended attributes for sentinel site selection including stability, feasibility, representativeness and the availability of data to enable disease burden estimation. Eight hospitals, a maximum of two per geographic region, were visited for checklist administration. Checklist findings from the eight hospitals were analyzed and sentinel sites selected in the third step. RESULTS: Six hospitals could be selected based on resources available to ensure system stability over a three-year period. For feasibility, all eight hospitals visited had mechanisms for specimen shipment and the capacity to report surveillance data, but two had limited motivation for system participation. For representativeness, the eight hospitals were geographically dispersed around Indonesia, and all could capture cases in all age and socio-economic groups. All eight hospitals had prerequisite population data to enable disease burden estimation. The two hospitals with low motivation were excluded and the remaining six were selected as sentinel sites. CONCLUSIONS: The multi-step process enabled sentinel site selection based on the WHO recommended attributes that emphasize right-sizing the surveillance system to ensure its stability and maximizing its geographic representativeness. This experience may guide other countries interested in adopting WHO’s influenza surveillance standards for sentinel site selection. BioMed Central 2014-09-23 /pmc/articles/PMC4179842/ /pubmed/25248619 http://dx.doi.org/10.1186/1472-6963-14-424 Text en © Susilarini et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Susilarini, Ni Ketut
Sitorus, Martahan
Praptaningsih, Catharina Yekti
Sampurno, Ondri Dwi
Bratasena, Arie
Mulyadi, Ester
Rusli, Roselinda
Fandil, Ahmad
Mangiri, Amalya
Apsari, Hana
Hariyanto, Edy
Samaan, Gina
Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
title Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
title_full Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
title_fullStr Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
title_full_unstemmed Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
title_short Application of WHO’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
title_sort application of who’s guideline for the selection of sentinel sites for hospital-based influenza surveillance in indonesia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179842/
https://www.ncbi.nlm.nih.gov/pubmed/25248619
http://dx.doi.org/10.1186/1472-6963-14-424
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