Cargando…

Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?

BACKGROUND: Improving maternal and newborn health requires improvements in the quality of facility-based care. This is challenging to measure: routine data may be unreliable; respondents in population surveys may be unable to accurately report on quality indicators; and facility assessments lack pop...

Descripción completa

Detalles Bibliográficos
Autores principales: Willey, Barbara, Waiswa, Peter, Kajjo, Darious, Munos, Melinda, Akuze, Joseph, Allen, Elizabeth, Marchant, Tanya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823029/
https://www.ncbi.nlm.nih.gov/pubmed/29497508
http://dx.doi.org/10.7189/jogh.08.010601
_version_ 1783301798462750720
author Willey, Barbara
Waiswa, Peter
Kajjo, Darious
Munos, Melinda
Akuze, Joseph
Allen, Elizabeth
Marchant, Tanya
author_facet Willey, Barbara
Waiswa, Peter
Kajjo, Darious
Munos, Melinda
Akuze, Joseph
Allen, Elizabeth
Marchant, Tanya
author_sort Willey, Barbara
collection PubMed
description BACKGROUND: Improving maternal and newborn health requires improvements in the quality of facility-based care. This is challenging to measure: routine data may be unreliable; respondents in population surveys may be unable to accurately report on quality indicators; and facility assessments lack population level denominators. We explored methods for linking access to skilled birth attendance (SBA) from household surveys to data on provision of care from facility surveys with the aim of estimating population level effective coverage reflecting access to quality care. METHODS: We used data from Mayuge District, Uganda. Data from household surveys on access to SBA were linked to health facility assessment census data on readiness to provide basic emergency obstetric and newborn care (BEmONC) in the same district. One individual- and two ecological-linking methods were applied. All methods used household survey reports on where care at birth was accessed. The individual-linking method linked this to data about facility readiness from the specific facility where each woman delivered. The first ecological-linking approach used a district-wide mean estimate of facility readiness. The second used an estimate of facility readiness adjusted by level of health facility accessed. Absolute differences between estimates derived from the different linking methods were calculated, and agreement examined using Lin’s concordance correlation coefficient. RESULTS: A total of 1177 women resident in Mayuge reported a birth during 2012-13. Of these, 664 took place in facilities within Mayuge, and were eligible for linking to the census of the district’s 38 facilities. 55% were assisted by a SBA in a facility. Using the individual-linking method, effective coverage of births that took place with an SBA in a facility ready to provide BEmONC was just 10% (95% confidence interval CI 3-17). The absolute difference between the individual- and ecological-level linking method adjusting for facility level was one percentage point (11%), and tests suggested good agreement. The ecological method using the district-wide estimate demonstrated poor agreement. CONCLUSIONS: The proportion of women accessing appropriately equipped facilities for care at birth is far lower than the coverage of facility delivery. To realise the life-saving potential of health services, countries need evidence to inform actions that address gaps in the provision of quality care. Linking household and facility-based information provides a simple but innovative method for estimating quality of care at the population level. These encouraging findings suggest that linking data sets can result in meaningful evidence even when the exact location of care seeking is not known.
format Online
Article
Text
id pubmed-5823029
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Edinburgh University Global Health Society
record_format MEDLINE/PubMed
spelling pubmed-58230292018-03-01 Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods? Willey, Barbara Waiswa, Peter Kajjo, Darious Munos, Melinda Akuze, Joseph Allen, Elizabeth Marchant, Tanya J Glob Health Research Theme 2: Improving Coverage Measurement BACKGROUND: Improving maternal and newborn health requires improvements in the quality of facility-based care. This is challenging to measure: routine data may be unreliable; respondents in population surveys may be unable to accurately report on quality indicators; and facility assessments lack population level denominators. We explored methods for linking access to skilled birth attendance (SBA) from household surveys to data on provision of care from facility surveys with the aim of estimating population level effective coverage reflecting access to quality care. METHODS: We used data from Mayuge District, Uganda. Data from household surveys on access to SBA were linked to health facility assessment census data on readiness to provide basic emergency obstetric and newborn care (BEmONC) in the same district. One individual- and two ecological-linking methods were applied. All methods used household survey reports on where care at birth was accessed. The individual-linking method linked this to data about facility readiness from the specific facility where each woman delivered. The first ecological-linking approach used a district-wide mean estimate of facility readiness. The second used an estimate of facility readiness adjusted by level of health facility accessed. Absolute differences between estimates derived from the different linking methods were calculated, and agreement examined using Lin’s concordance correlation coefficient. RESULTS: A total of 1177 women resident in Mayuge reported a birth during 2012-13. Of these, 664 took place in facilities within Mayuge, and were eligible for linking to the census of the district’s 38 facilities. 55% were assisted by a SBA in a facility. Using the individual-linking method, effective coverage of births that took place with an SBA in a facility ready to provide BEmONC was just 10% (95% confidence interval CI 3-17). The absolute difference between the individual- and ecological-level linking method adjusting for facility level was one percentage point (11%), and tests suggested good agreement. The ecological method using the district-wide estimate demonstrated poor agreement. CONCLUSIONS: The proportion of women accessing appropriately equipped facilities for care at birth is far lower than the coverage of facility delivery. To realise the life-saving potential of health services, countries need evidence to inform actions that address gaps in the provision of quality care. Linking household and facility-based information provides a simple but innovative method for estimating quality of care at the population level. These encouraging findings suggest that linking data sets can result in meaningful evidence even when the exact location of care seeking is not known. Edinburgh University Global Health Society 2018-06 2018-02-22 /pmc/articles/PMC5823029/ /pubmed/29497508 http://dx.doi.org/10.7189/jogh.08.010601 Text en Copyright © 2018 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Research Theme 2: Improving Coverage Measurement
Willey, Barbara
Waiswa, Peter
Kajjo, Darious
Munos, Melinda
Akuze, Joseph
Allen, Elizabeth
Marchant, Tanya
Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?
title Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?
title_full Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?
title_fullStr Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?
title_full_unstemmed Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?
title_short Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?
title_sort linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?
topic Research Theme 2: Improving Coverage Measurement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823029/
https://www.ncbi.nlm.nih.gov/pubmed/29497508
http://dx.doi.org/10.7189/jogh.08.010601
work_keys_str_mv AT willeybarbara linkingdatasourcesformeasurementofeffectivecoverageinmaternalandnewbornhealthwhatdowelearnfromindividualvsecologicallinkingmethods
AT waiswapeter linkingdatasourcesformeasurementofeffectivecoverageinmaternalandnewbornhealthwhatdowelearnfromindividualvsecologicallinkingmethods
AT kajjodarious linkingdatasourcesformeasurementofeffectivecoverageinmaternalandnewbornhealthwhatdowelearnfromindividualvsecologicallinkingmethods
AT munosmelinda linkingdatasourcesformeasurementofeffectivecoverageinmaternalandnewbornhealthwhatdowelearnfromindividualvsecologicallinkingmethods
AT akuzejoseph linkingdatasourcesformeasurementofeffectivecoverageinmaternalandnewbornhealthwhatdowelearnfromindividualvsecologicallinkingmethods
AT allenelizabeth linkingdatasourcesformeasurementofeffectivecoverageinmaternalandnewbornhealthwhatdowelearnfromindividualvsecologicallinkingmethods
AT marchanttanya linkingdatasourcesformeasurementofeffectivecoverageinmaternalandnewbornhealthwhatdowelearnfromindividualvsecologicallinkingmethods