Cargando…

Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa

AIM: To identify better performing iCCM programs in sub–Saharan Africa (SSA) and identify factors associated with better performance using routine data. METHODS: We examined 15 evaluations or studies of integrated community case management (iCCM) programs in SSA conducted between 2008 and 2013 and w...

Descripción completa

Detalles Bibliográficos
Autores principales: Oliphant, Nicholas P., Muñiz, Maria, Guenther, Tanya, Diaz, Theresa, Laínez, Yolanda Barberá, Counihan, Helen, Pratt, Abigail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267092/
https://www.ncbi.nlm.nih.gov/pubmed/25520798
http://dx.doi.org/10.7189/jogh.04.020408
_version_ 1782349099666767872
author Oliphant, Nicholas P.
Muñiz, Maria
Guenther, Tanya
Diaz, Theresa
Laínez, Yolanda Barberá
Counihan, Helen
Pratt, Abigail
author_facet Oliphant, Nicholas P.
Muñiz, Maria
Guenther, Tanya
Diaz, Theresa
Laínez, Yolanda Barberá
Counihan, Helen
Pratt, Abigail
author_sort Oliphant, Nicholas P.
collection PubMed
description AIM: To identify better performing iCCM programs in sub–Saharan Africa (SSA) and identify factors associated with better performance using routine data. METHODS: We examined 15 evaluations or studies of integrated community case management (iCCM) programs in SSA conducted between 2008 and 2013 and with information about the program; routine data on treatments, supervision, and stockouts; and, where available, data from community health worker (CHW) surveys on supervision and stockouts. Analyses included descriptive statistics, Fisher exact test for differences in median treatment rates, the Kruskal-Wallis test for differences in the distribution of treatment rates, and Spearman’s correlation by program factors. RESULTS: The median percent of annual expected cases treated was 27% (1–74%) for total iCCM, 37% (1–80%) for malaria, 155% (7–552%) for pneumonia, and 27% (1–74%) for diarrhoea. Seven programs had above median total iCCM treatments rates. Four programs had above median treatment rates, above median treatments per active CHW per month, and above median percent of expected cases treated. Larger populations under–five targeted were negatively associated with treatment rates for fever, malaria, diarrhea, and total iCCM. The ratio of CHWs per population was positively associated with diarrhoea treatment rates. Use of rapid diagnostic tests (RDTs) was negatively associated with treatment rates for pneumonia. Treatment rates and percent of annual expected cases treated were equivalent between programs with volunteer CHWs and programs with salaried CHWs. CONCLUSIONS: There is large variation in iCCM program performance in SSA. Four programs appear to be higher performing in terms of treatment rates, treatments per CHW per month, and percent of expected cases treated. Treatment rates for diarrhoea are lower than expected across most programmes. CHWs in many programmes are overtreating pneumonia. Programs targeting larger populations under–five tend to have lower treatment rates. The reasons for lower pneumonia treatment rates where CHWs use RDTs need to be explored. Programs with volunteer CHWs and those with salaried CHWs can achieve similar treatment rates and percent of annual expected cases treated but to do so volunteer programs must manage more CHWs per population and salaried CHWs must provide more treatments per CHW per month.
format Online
Article
Text
id pubmed-4267092
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Edinburgh University Global Health Society
record_format MEDLINE/PubMed
spelling pubmed-42670922014-12-17 Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa Oliphant, Nicholas P. Muñiz, Maria Guenther, Tanya Diaz, Theresa Laínez, Yolanda Barberá Counihan, Helen Pratt, Abigail J Glob Health Articles AIM: To identify better performing iCCM programs in sub–Saharan Africa (SSA) and identify factors associated with better performance using routine data. METHODS: We examined 15 evaluations or studies of integrated community case management (iCCM) programs in SSA conducted between 2008 and 2013 and with information about the program; routine data on treatments, supervision, and stockouts; and, where available, data from community health worker (CHW) surveys on supervision and stockouts. Analyses included descriptive statistics, Fisher exact test for differences in median treatment rates, the Kruskal-Wallis test for differences in the distribution of treatment rates, and Spearman’s correlation by program factors. RESULTS: The median percent of annual expected cases treated was 27% (1–74%) for total iCCM, 37% (1–80%) for malaria, 155% (7–552%) for pneumonia, and 27% (1–74%) for diarrhoea. Seven programs had above median total iCCM treatments rates. Four programs had above median treatment rates, above median treatments per active CHW per month, and above median percent of expected cases treated. Larger populations under–five targeted were negatively associated with treatment rates for fever, malaria, diarrhea, and total iCCM. The ratio of CHWs per population was positively associated with diarrhoea treatment rates. Use of rapid diagnostic tests (RDTs) was negatively associated with treatment rates for pneumonia. Treatment rates and percent of annual expected cases treated were equivalent between programs with volunteer CHWs and programs with salaried CHWs. CONCLUSIONS: There is large variation in iCCM program performance in SSA. Four programs appear to be higher performing in terms of treatment rates, treatments per CHW per month, and percent of expected cases treated. Treatment rates for diarrhoea are lower than expected across most programmes. CHWs in many programmes are overtreating pneumonia. Programs targeting larger populations under–five tend to have lower treatment rates. The reasons for lower pneumonia treatment rates where CHWs use RDTs need to be explored. Programs with volunteer CHWs and those with salaried CHWs can achieve similar treatment rates and percent of annual expected cases treated but to do so volunteer programs must manage more CHWs per population and salaried CHWs must provide more treatments per CHW per month. Edinburgh University Global Health Society 2014-12 /pmc/articles/PMC4267092/ /pubmed/25520798 http://dx.doi.org/10.7189/jogh.04.020408 Text en Copyright © 2014 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Oliphant, Nicholas P.
Muñiz, Maria
Guenther, Tanya
Diaz, Theresa
Laínez, Yolanda Barberá
Counihan, Helen
Pratt, Abigail
Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa
title Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa
title_full Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa
title_fullStr Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa
title_full_unstemmed Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa
title_short Multi–country analysis of routine data from integrated community case management (iCCM) programs in sub–Saharan Africa
title_sort multi–country analysis of routine data from integrated community case management (iccm) programs in sub–saharan africa
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267092/
https://www.ncbi.nlm.nih.gov/pubmed/25520798
http://dx.doi.org/10.7189/jogh.04.020408
work_keys_str_mv AT oliphantnicholasp multicountryanalysisofroutinedatafromintegratedcommunitycasemanagementiccmprogramsinsubsaharanafrica
AT munizmaria multicountryanalysisofroutinedatafromintegratedcommunitycasemanagementiccmprogramsinsubsaharanafrica
AT guenthertanya multicountryanalysisofroutinedatafromintegratedcommunitycasemanagementiccmprogramsinsubsaharanafrica
AT diaztheresa multicountryanalysisofroutinedatafromintegratedcommunitycasemanagementiccmprogramsinsubsaharanafrica
AT lainezyolandabarbera multicountryanalysisofroutinedatafromintegratedcommunitycasemanagementiccmprogramsinsubsaharanafrica
AT counihanhelen multicountryanalysisofroutinedatafromintegratedcommunitycasemanagementiccmprogramsinsubsaharanafrica
AT prattabigail multicountryanalysisofroutinedatafromintegratedcommunitycasemanagementiccmprogramsinsubsaharanafrica