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Validating indicators for monitoring availability and geographic distribution of emergency obstetric and newborn care (EmoNC) facilities: a study triangulating health system, facility, and geospatial data

Validating indicators for monitoring availability and geographic distribution of emergency obstetric and newborn care (EmoNC) facilities: a study triangulating health system, facility, and geospatial data
Validating indicators for monitoring availability and geographic distribution of emergency obstetric and newborn care (EmoNC) facilities: a study triangulating health system, facility, and geospatial data
Availability of emergency obstetric and newborn care (EmONC) is a strong supply side measure of essential health system capacity that is closely and causally linked to maternal mortality reduction and fundamentally to achieving universal health coverage. The World Health Organization’s indicator “Availability of EmONC facilities” was prioritized as a core indicator to prevent maternal death. The indicator focuses on whether there are sufficient emergency care facilities to meet the population need, but not all facilities designated as providing EmONC function as such. This study seeks to validate “Availability of EmONC” by comparing the value of the indicator after accounting for key aspects of facility functionality and an alternative measure of geographic distribution. This study takes place in four subnational geographic areas in Argentina, Ghana, and India using a census of all birthing facilities. Performance of EmONC in the 90 days prior to data collection was assessed by examining facility records. Data were collected on facility operating hours, staffing, and availability of essential medications. Population estimates were generated using ArcGIS software using WorldPop to estimate the total population, and the number of women of reproductive age (WRA), pregnancies and births in the study areas. In addition, we estimated the population within two-hours travel time of an EmONC facility by incorporating data on terrain from Open Street Map. Using these data sources, we calculated and compared the value of the indicator after incorporating data on facility performance and functionality while varying the reference population used. Further, we compared its value to the proportion of the population within two-hours travel time of an EmONC facility. Included in our study were 34 birthing facilities in Argentina, 51 in Ghana, and 282 in India. Facility performance of basic EmONC (BEmONC) and comprehensive EmONC (CEmONC) signal functions varied considerably. One facility (4.8%) in Ghana and no facility in India designated as BEmONC had performed all seven BEmONC signal functions. In Argentina, three (8.8%) CEmONC-designated facilities performed all nine CEmONC signal functions, all located in Buenos Aires Region V. Four CEmONC-designated facilities in Ghana (57.1%) and the three CEmONC-designated facilities in India (23.1%) evidenced full CEmONC performance. No sub-national study area in Argentina or India reached the target of 5 BEmONC-level facilities per 20,000 births after incorporating facility functionality yet 100% did in Argentina and 50% did in India when considering only facility designation. Demographic differences also accounted for important variation in the indicator’s value. In Ghana, the total population in Tolon within 2 hours travel time of a designated EmONC facility was estimated at 99.6%; however, only 91.1% of women of reproductive age were within 2 hours travel time. Comparing the value of the indicator when calculated using different definitions reveals important inconsistencies, resulting in conflicting information about whether the threshold for sufficient coverage is met. This raises important questions related to the indicator’s validity. To provide a valid measure of effective coverage of EmONC, the construct for measurement should extend beyond the most narrow definition of availability and account for functionality and geographic accessibility.
Argentina, Censuses, Comprehensive Health Care, Emergency Medical Services, Emergency Treatment, Female, Humans, Infant, Newborn, Pregnancy
1932-6203
e0287904
Gausman, Jewel
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Pingray, Veronica
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Adanu, Richard
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Bandoh, Delia A.B.
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Barrueta, Mabel
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Blossom, Jeff
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Chakraborty, Suchandrima
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Dotse-Gborgbortsi, Winfred
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Kenu, Ernest
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Khan, Nizamuddin
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Langer, Ana
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Nigri, Carolina
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Odikro, Magdalene A.
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Ramesh, Sowmya
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Saggurti, Niranjan
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Vazquez, Paula
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Williams, Caitlin R.
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Jolivet, R. Rima
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Gausman, Jewel
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Pingray, Veronica
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Adanu, Richard
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Bandoh, Delia A.B.
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Barrueta, Mabel
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Blossom, Jeff
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Chakraborty, Suchandrima
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Dotse-Gborgbortsi, Winfred
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Kenu, Ernest
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Khan, Nizamuddin
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Langer, Ana
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Nigri, Carolina
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Odikro, Magdalene A.
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Ramesh, Sowmya
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Saggurti, Niranjan
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Vazquez, Paula
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Williams, Caitlin R.
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Jolivet, R. Rima
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Gausman, Jewel, Pingray, Veronica, Adanu, Richard, Bandoh, Delia A.B., Barrueta, Mabel, Blossom, Jeff, Chakraborty, Suchandrima, Dotse-Gborgbortsi, Winfred, Kenu, Ernest, Khan, Nizamuddin, Langer, Ana, Nigri, Carolina, Odikro, Magdalene A., Ramesh, Sowmya, Saggurti, Niranjan, Vazquez, Paula, Williams, Caitlin R. and Jolivet, R. Rima (2023) Validating indicators for monitoring availability and geographic distribution of emergency obstetric and newborn care (EmoNC) facilities: a study triangulating health system, facility, and geospatial data. PLoS ONE, 18 (9 September), e0287904, [e0287904]. (doi:10.1371/journal.pone.0287904).

Record type: Article

Abstract

Availability of emergency obstetric and newborn care (EmONC) is a strong supply side measure of essential health system capacity that is closely and causally linked to maternal mortality reduction and fundamentally to achieving universal health coverage. The World Health Organization’s indicator “Availability of EmONC facilities” was prioritized as a core indicator to prevent maternal death. The indicator focuses on whether there are sufficient emergency care facilities to meet the population need, but not all facilities designated as providing EmONC function as such. This study seeks to validate “Availability of EmONC” by comparing the value of the indicator after accounting for key aspects of facility functionality and an alternative measure of geographic distribution. This study takes place in four subnational geographic areas in Argentina, Ghana, and India using a census of all birthing facilities. Performance of EmONC in the 90 days prior to data collection was assessed by examining facility records. Data were collected on facility operating hours, staffing, and availability of essential medications. Population estimates were generated using ArcGIS software using WorldPop to estimate the total population, and the number of women of reproductive age (WRA), pregnancies and births in the study areas. In addition, we estimated the population within two-hours travel time of an EmONC facility by incorporating data on terrain from Open Street Map. Using these data sources, we calculated and compared the value of the indicator after incorporating data on facility performance and functionality while varying the reference population used. Further, we compared its value to the proportion of the population within two-hours travel time of an EmONC facility. Included in our study were 34 birthing facilities in Argentina, 51 in Ghana, and 282 in India. Facility performance of basic EmONC (BEmONC) and comprehensive EmONC (CEmONC) signal functions varied considerably. One facility (4.8%) in Ghana and no facility in India designated as BEmONC had performed all seven BEmONC signal functions. In Argentina, three (8.8%) CEmONC-designated facilities performed all nine CEmONC signal functions, all located in Buenos Aires Region V. Four CEmONC-designated facilities in Ghana (57.1%) and the three CEmONC-designated facilities in India (23.1%) evidenced full CEmONC performance. No sub-national study area in Argentina or India reached the target of 5 BEmONC-level facilities per 20,000 births after incorporating facility functionality yet 100% did in Argentina and 50% did in India when considering only facility designation. Demographic differences also accounted for important variation in the indicator’s value. In Ghana, the total population in Tolon within 2 hours travel time of a designated EmONC facility was estimated at 99.6%; however, only 91.1% of women of reproductive age were within 2 hours travel time. Comparing the value of the indicator when calculated using different definitions reveals important inconsistencies, resulting in conflicting information about whether the threshold for sufficient coverage is met. This raises important questions related to the indicator’s validity. To provide a valid measure of effective coverage of EmONC, the construct for measurement should extend beyond the most narrow definition of availability and account for functionality and geographic accessibility.

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Accepted/In Press date: 15 June 2023
Published date: 14 September 2023
Additional Information: Funding Information: Funding: This work was supported by the Bill and Melinda Gates Foundation through an award to RRJ and AL (Improving Maternal Health Measurement (IMHM) Capacity and Use, grant number OPP1169546). Funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Funding Information: Funding:ThisworkwassupportedbytheBilland MelindaGatesFoundationthroughanawardto RRJandAL(ImprovingMaternalHealth Measurement(IMHM)CapacityandUse,grant numberOPP1169546).Fundershadnorolein studydesign,datacollectionandanalysis,decision topublish,orpreparationofthemanuscript. Publisher Copyright: Copyright: © 2023 Gausman et al.
Keywords: Argentina, Censuses, Comprehensive Health Care, Emergency Medical Services, Emergency Treatment, Female, Humans, Infant, Newborn, Pregnancy

Identifiers

Local EPrints ID: 482308
URI: http://eprints.soton.ac.uk/id/eprint/482308
ISSN: 1932-6203
PURE UUID: aea30869-b0bb-48b5-bb22-c0a5504f7be7
ORCID for Winfred Dotse-Gborgbortsi: ORCID iD orcid.org/0000-0001-7627-1809

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Date deposited: 26 Sep 2023 16:47
Last modified: 10 Apr 2024 02:12

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Contributors

Author: Jewel Gausman
Author: Veronica Pingray
Author: Richard Adanu
Author: Delia A.B. Bandoh
Author: Mabel Barrueta
Author: Jeff Blossom
Author: Suchandrima Chakraborty
Author: Winfred Dotse-Gborgbortsi ORCID iD
Author: Ernest Kenu
Author: Nizamuddin Khan
Author: Ana Langer
Author: Carolina Nigri
Author: Magdalene A. Odikro
Author: Sowmya Ramesh
Author: Niranjan Saggurti
Author: Paula Vazquez
Author: Caitlin R. Williams
Author: R. Rima Jolivet

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