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Bed net ownership in Kenya: the impact of 3.4 million free bed nets

BACKGROUND: In July and September 2006, 3.4 million long-lasting insecticide-treated bed nets (LLINs) were distributed free in a campaign targeting children 0-59 months old (CU5s) in the 46 districts with malaria in Kenya. A survey was conducted one month after the distribution to evaluate who recei...

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Autores principales: Hightower, Allen, Kiptui, Rebecca, Manya, Ayub, Wolkon, Adam, Vanden Eng, Jodi Leigh, Hamel, Mary, Noor, Abdisalan, Sharif, Shahnaz K, Buluma, Robert, Vulule, John, Laserson, Kayla, Slutsker, Laurence, Akhwale, Willis
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912322/
https://www.ncbi.nlm.nih.gov/pubmed/20576145
http://dx.doi.org/10.1186/1475-2875-9-183
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author Hightower, Allen
Kiptui, Rebecca
Manya, Ayub
Wolkon, Adam
Vanden Eng, Jodi Leigh
Hamel, Mary
Noor, Abdisalan
Sharif, Shahnaz K
Buluma, Robert
Vulule, John
Laserson, Kayla
Slutsker, Laurence
Akhwale, Willis
author_facet Hightower, Allen
Kiptui, Rebecca
Manya, Ayub
Wolkon, Adam
Vanden Eng, Jodi Leigh
Hamel, Mary
Noor, Abdisalan
Sharif, Shahnaz K
Buluma, Robert
Vulule, John
Laserson, Kayla
Slutsker, Laurence
Akhwale, Willis
author_sort Hightower, Allen
collection PubMed
description BACKGROUND: In July and September 2006, 3.4 million long-lasting insecticide-treated bed nets (LLINs) were distributed free in a campaign targeting children 0-59 months old (CU5s) in the 46 districts with malaria in Kenya. A survey was conducted one month after the distribution to evaluate who received campaign LLINs, who owned insecticide-treated bed nets and other bed nets received through other channels, and how these nets were being used. The feasibility of a distribution strategy aimed at a high-risk target group to meet bed net ownership and usage targets is evaluated. METHODS: A stratified, two-stage cluster survey sampled districts and enumeration areas with probability proportional to size. Handheld computers (PDAs) with attached global positioning systems (GPS) were used to develop the sampling frame, guide interviewers back to chosen households, and collect survey data. RESULTS: In targeted areas, 67.5% (95% CI: 64.6, 70.3%) of all households with CU5s received campaign LLINs. Including previously owned nets, 74.4% (95% CI: 71.8, 77.0%) of all households with CU5s had an ITN. Over half of CU5s (51.7%, 95% CI: 48.8, 54.7%) slept under an ITN during the previous evening. Nearly forty percent (39.1%) of all households received a campaign net, elevating overall household ownership of ITNs to 50.7% (95% CI: 48.4, 52.9%). CONCLUSIONS: The campaign was successful in reaching the target population, families with CU5s, the risk group most vulnerable to malaria. Targeted distribution strategies will help Kenya approach indicator targets, but will need to be combined with other strategies to achieve desired population coverage levels.
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spelling pubmed-29123222010-07-30 Bed net ownership in Kenya: the impact of 3.4 million free bed nets Hightower, Allen Kiptui, Rebecca Manya, Ayub Wolkon, Adam Vanden Eng, Jodi Leigh Hamel, Mary Noor, Abdisalan Sharif, Shahnaz K Buluma, Robert Vulule, John Laserson, Kayla Slutsker, Laurence Akhwale, Willis Malar J Research BACKGROUND: In July and September 2006, 3.4 million long-lasting insecticide-treated bed nets (LLINs) were distributed free in a campaign targeting children 0-59 months old (CU5s) in the 46 districts with malaria in Kenya. A survey was conducted one month after the distribution to evaluate who received campaign LLINs, who owned insecticide-treated bed nets and other bed nets received through other channels, and how these nets were being used. The feasibility of a distribution strategy aimed at a high-risk target group to meet bed net ownership and usage targets is evaluated. METHODS: A stratified, two-stage cluster survey sampled districts and enumeration areas with probability proportional to size. Handheld computers (PDAs) with attached global positioning systems (GPS) were used to develop the sampling frame, guide interviewers back to chosen households, and collect survey data. RESULTS: In targeted areas, 67.5% (95% CI: 64.6, 70.3%) of all households with CU5s received campaign LLINs. Including previously owned nets, 74.4% (95% CI: 71.8, 77.0%) of all households with CU5s had an ITN. Over half of CU5s (51.7%, 95% CI: 48.8, 54.7%) slept under an ITN during the previous evening. Nearly forty percent (39.1%) of all households received a campaign net, elevating overall household ownership of ITNs to 50.7% (95% CI: 48.4, 52.9%). CONCLUSIONS: The campaign was successful in reaching the target population, families with CU5s, the risk group most vulnerable to malaria. Targeted distribution strategies will help Kenya approach indicator targets, but will need to be combined with other strategies to achieve desired population coverage levels. BioMed Central 2010-06-24 /pmc/articles/PMC2912322/ /pubmed/20576145 http://dx.doi.org/10.1186/1475-2875-9-183 Text en Copyright ©2010 Hightower et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 cited.
spellingShingle Research
Hightower, Allen
Kiptui, Rebecca
Manya, Ayub
Wolkon, Adam
Vanden Eng, Jodi Leigh
Hamel, Mary
Noor, Abdisalan
Sharif, Shahnaz K
Buluma, Robert
Vulule, John
Laserson, Kayla
Slutsker, Laurence
Akhwale, Willis
Bed net ownership in Kenya: the impact of 3.4 million free bed nets
title Bed net ownership in Kenya: the impact of 3.4 million free bed nets
title_full Bed net ownership in Kenya: the impact of 3.4 million free bed nets
title_fullStr Bed net ownership in Kenya: the impact of 3.4 million free bed nets
title_full_unstemmed Bed net ownership in Kenya: the impact of 3.4 million free bed nets
title_short Bed net ownership in Kenya: the impact of 3.4 million free bed nets
title_sort bed net ownership in kenya: the impact of 3.4 million free bed nets
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912322/
https://www.ncbi.nlm.nih.gov/pubmed/20576145
http://dx.doi.org/10.1186/1475-2875-9-183
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