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Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region

BACKGROUND: High quality routine health system data is essential for tracking progress towards attainment of the Millennium Development Goals 4 & 5. This study aimed to determine the completeness and accuracy of transfer of routine maternal health service data at health facility, district and re...

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Autores principales: Amoakoh-Coleman, Mary, Kayode, Gbenga A, Brown-Davies, Charles, Agyepong, Irene Akua, Grobbee, Diederick E, Klipstein-Grobusch, Kerstin, Ansah, Evelyn K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4392754/
https://www.ncbi.nlm.nih.gov/pubmed/25889945
http://dx.doi.org/10.1186/s13104-015-1058-3
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author Amoakoh-Coleman, Mary
Kayode, Gbenga A
Brown-Davies, Charles
Agyepong, Irene Akua
Grobbee, Diederick E
Klipstein-Grobusch, Kerstin
Ansah, Evelyn K
author_facet Amoakoh-Coleman, Mary
Kayode, Gbenga A
Brown-Davies, Charles
Agyepong, Irene Akua
Grobbee, Diederick E
Klipstein-Grobusch, Kerstin
Ansah, Evelyn K
author_sort Amoakoh-Coleman, Mary
collection PubMed
description BACKGROUND: High quality routine health system data is essential for tracking progress towards attainment of the Millennium Development Goals 4 & 5. This study aimed to determine the completeness and accuracy of transfer of routine maternal health service data at health facility, district and regional levels of the Greater Accra Region of Ghana. METHODS: A cross sectional study was conducted using secondary data comprised of routine health information data collected at facility level for the first quarter of 2012. Twelve health facilities were selected using a multistage sampling method. Data relating to antenatal care and delivery were assessed for completeness and accuracy of data transfer. Primary source data from health facility level (registers and record notebooks where health information data are initially entered) , used as the reference data, were counted, collated, and compared with aggregate data on aggregate forms compiled from these sources by health facility staff. The primary source data was also compared with data in the district health information management system (DHIMS–II), a web-based data collation and reporting system. Percentage completeness and percentage error in data transfer were estimated. RESULTS: Data for all 5,537 antenatal registrants and 3, 466 deliveries recorded into the primary source for the first quarter of 2012 were assessed. Completeness was best for age data, followed by data on parity and hemoglobin at registration. Mean completeness of the facility level aggregate data for the data sampled, was 94.3% (95% CI = 90.6% – 98.0%) and 100.0% respectively for the aggregate form and DHIMS-II database. Mean error in data transfer was 1.0% (95% CI = 0.8% - 1.2%). Percentage error comparing aggregate form data and DHIMS-II data respectively to the primary source data ranged from 0.0% to 4.9% respectively, while percentage error comparing the DHIMS-II data to aggregate form data, was generally very low or 0.0%. CONCLUSION: Routine maternal health services data in the Greater Accra region, available at the district level through the DHIMS-II system is complete when compared to facility level primary source data and reliable for use.
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spelling pubmed-43927542015-04-11 Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region Amoakoh-Coleman, Mary Kayode, Gbenga A Brown-Davies, Charles Agyepong, Irene Akua Grobbee, Diederick E Klipstein-Grobusch, Kerstin Ansah, Evelyn K BMC Res Notes Research Article BACKGROUND: High quality routine health system data is essential for tracking progress towards attainment of the Millennium Development Goals 4 & 5. This study aimed to determine the completeness and accuracy of transfer of routine maternal health service data at health facility, district and regional levels of the Greater Accra Region of Ghana. METHODS: A cross sectional study was conducted using secondary data comprised of routine health information data collected at facility level for the first quarter of 2012. Twelve health facilities were selected using a multistage sampling method. Data relating to antenatal care and delivery were assessed for completeness and accuracy of data transfer. Primary source data from health facility level (registers and record notebooks where health information data are initially entered) , used as the reference data, were counted, collated, and compared with aggregate data on aggregate forms compiled from these sources by health facility staff. The primary source data was also compared with data in the district health information management system (DHIMS–II), a web-based data collation and reporting system. Percentage completeness and percentage error in data transfer were estimated. RESULTS: Data for all 5,537 antenatal registrants and 3, 466 deliveries recorded into the primary source for the first quarter of 2012 were assessed. Completeness was best for age data, followed by data on parity and hemoglobin at registration. Mean completeness of the facility level aggregate data for the data sampled, was 94.3% (95% CI = 90.6% – 98.0%) and 100.0% respectively for the aggregate form and DHIMS-II database. Mean error in data transfer was 1.0% (95% CI = 0.8% - 1.2%). Percentage error comparing aggregate form data and DHIMS-II data respectively to the primary source data ranged from 0.0% to 4.9% respectively, while percentage error comparing the DHIMS-II data to aggregate form data, was generally very low or 0.0%. CONCLUSION: Routine maternal health services data in the Greater Accra region, available at the district level through the DHIMS-II system is complete when compared to facility level primary source data and reliable for use. BioMed Central 2015-04-01 /pmc/articles/PMC4392754/ /pubmed/25889945 http://dx.doi.org/10.1186/s13104-015-1058-3 Text en © Amoakoh-Coleman et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), 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
Amoakoh-Coleman, Mary
Kayode, Gbenga A
Brown-Davies, Charles
Agyepong, Irene Akua
Grobbee, Diederick E
Klipstein-Grobusch, Kerstin
Ansah, Evelyn K
Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region
title Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region
title_full Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region
title_fullStr Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region
title_full_unstemmed Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region
title_short Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region
title_sort completeness and accuracy of data transfer of routine maternal health services data in the greater accra region
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4392754/
https://www.ncbi.nlm.nih.gov/pubmed/25889945
http://dx.doi.org/10.1186/s13104-015-1058-3
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