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Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study
INTRODUCTION: Zambia has moved from accelerated malaria burden reduction to malaria elimination which requires the national malaria surveillance system to capture all cases from both the public and private sector. This study investigated challenges and factors associated with private health faciliti...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813650/ https://www.ncbi.nlm.nih.gov/pubmed/33505572 http://dx.doi.org/10.11604/pamj.2020.37.203.18829 |
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author | Gama, Angela Banda, Ignatius Kapaya, Fred Ingwe, Mercy Mwanza Chiwaula, Japhet Yeta, Anthony Kawesha, Elizabeth Chizema Hamainza, Busiku Chongwe, Gershom |
author_facet | Gama, Angela Banda, Ignatius Kapaya, Fred Ingwe, Mercy Mwanza Chiwaula, Japhet Yeta, Anthony Kawesha, Elizabeth Chizema Hamainza, Busiku Chongwe, Gershom |
author_sort | Gama, Angela |
collection | PubMed |
description | INTRODUCTION: Zambia has moved from accelerated malaria burden reduction to malaria elimination which requires the national malaria surveillance system to capture all cases from both the public and private sector. This study investigated challenges and factors associated with private health facilities reporting malaria in the national health management information system (HMIS). METHODS: a structured questionnaire was administered to the heads of 139 private health facilities in three provinces where approximately 85% of private health facilities are found in Zambia. Logistic regression was performed, and the outcome variable was reporting malaria in the HMIS. Epi Info® version 7 was used to conduct multivariable logistic regression to determine factors associated with private facilities reporting malaria in HMIS. RESULTS: private health facilities that had been operating for more than 20 years had three (3) times increased odds of reporting malaria in HMIS (AOR = 3.22, 95% CI: 1.23, 8.42; P-value = 0.02) compared to those that had been operating for less than 20 years. The private facilities that had staff who were aware about malaria surveillance (AOR = 2.06 95% CI: 1.38, 3.99, P-value = 0.01) had two times greater odds to report malaria in HMIS compared to those that were not aware. Lack of information and training in surveillance was identified as the main barrier for private facilities to report malaria in HMIS. CONCLUSION: as Zambia progresses towards malaria elimination, there is need to increase awareness and training of private providers on malaria surveillance to improve reporting in HMIS. |
format | Online Article Text |
id | pubmed-7813650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-78136502021-01-26 Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study Gama, Angela Banda, Ignatius Kapaya, Fred Ingwe, Mercy Mwanza Chiwaula, Japhet Yeta, Anthony Kawesha, Elizabeth Chizema Hamainza, Busiku Chongwe, Gershom Pan Afr Med J Research INTRODUCTION: Zambia has moved from accelerated malaria burden reduction to malaria elimination which requires the national malaria surveillance system to capture all cases from both the public and private sector. This study investigated challenges and factors associated with private health facilities reporting malaria in the national health management information system (HMIS). METHODS: a structured questionnaire was administered to the heads of 139 private health facilities in three provinces where approximately 85% of private health facilities are found in Zambia. Logistic regression was performed, and the outcome variable was reporting malaria in the HMIS. Epi Info® version 7 was used to conduct multivariable logistic regression to determine factors associated with private facilities reporting malaria in HMIS. RESULTS: private health facilities that had been operating for more than 20 years had three (3) times increased odds of reporting malaria in HMIS (AOR = 3.22, 95% CI: 1.23, 8.42; P-value = 0.02) compared to those that had been operating for less than 20 years. The private facilities that had staff who were aware about malaria surveillance (AOR = 2.06 95% CI: 1.38, 3.99, P-value = 0.01) had two times greater odds to report malaria in HMIS compared to those that were not aware. Lack of information and training in surveillance was identified as the main barrier for private facilities to report malaria in HMIS. CONCLUSION: as Zambia progresses towards malaria elimination, there is need to increase awareness and training of private providers on malaria surveillance to improve reporting in HMIS. The African Field Epidemiology Network 2020-10-29 /pmc/articles/PMC7813650/ /pubmed/33505572 http://dx.doi.org/10.11604/pamj.2020.37.203.18829 Text en Copyright: Angela Gama et al. https://creativecommons.org/licenses/by/4.0 The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Gama, Angela Banda, Ignatius Kapaya, Fred Ingwe, Mercy Mwanza Chiwaula, Japhet Yeta, Anthony Kawesha, Elizabeth Chizema Hamainza, Busiku Chongwe, Gershom Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study |
title | Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study |
title_full | Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study |
title_fullStr | Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study |
title_full_unstemmed | Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study |
title_short | Factors associated with private health facilities reporting malaria in the national health management information system in Zambia: a cross sectional study |
title_sort | factors associated with private health facilities reporting malaria in the national health management information system in zambia: a cross sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813650/ https://www.ncbi.nlm.nih.gov/pubmed/33505572 http://dx.doi.org/10.11604/pamj.2020.37.203.18829 |
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