Abstract
BackgroundMeasurement of Emergency Obstetric Care capability is common, and measurement of newborn and overall routine childbirth care has begun in recent years. These assessments of facility capabilities can be used to identify geographic inequalities in access to functional health services and to monitor improvements over time. This paper develops an approach for monitoring the childbirth environment that accounts for the delivery caseload of the facility.MethodsWe used data from the Kenya Service Provision Assessment to examine facility capability to provide quality childbirth care, including infrastructure, routine maternal and newborn care, and emergency obstetric and newborn care. A facility was considered capable of providing a function if necessary tracer items were present and, for emergency functions, if the function had been performed in the previous three months. We weighted facility capability by delivery caseload, and compared results with those generated using traditional “survey weights”.ResultsOf the 403 facilities providing childbirth care, the proportion meeting criteria for capability were: 13% for general infrastructure, 6% for basic emergency obstetric care, 3% for basic emergency newborn care, 13% and 11% for routine maternal and newborn care, respectively. When the new caseload weights accounting for delivery volume were applied, capability improved and the proportions of deliveries occurring in a facility meeting capability criteria were: 51% for general infrastructure, 46% for basic emergency obstetric care, 12% for basic emergency newborn care, 36% and 18% for routine maternal and newborn care, respectively. This is because most of the caseload was in hospitals, which generally had better capability. Despite these findings, fewer than 2% of deliveries occurred in a facility capable of providing all functions.ConclusionReporting on the percentage of facilities capable of providing certain functions misrepresents the capacity to provide care at the national level. Delivery caseload weights allow adjustment for patient volume, and shift the denominator of measurement from facilities to individual deliveries, leading to a better representation of the context in which facility births take place. These methods could lead to more standardized national datasets, enhancing their ability to inform policy at a national and international level.
Highlights
Labor, delivery and the first 24 hours after birth are high-risk periods for mothers and babies
When the new caseload weights accounting for delivery volume were applied, capability improved and the proportions of deliveries occurring in a facility meeting capability
In 1997, Guidelines for monitoring the availability and use of obstetric services were published by United Nations International Children’s Emergency Fund (UNICEF), World Health Organization (WHO) and United Nations Population Fund (UNFPA). These Guidelines focused on a short list of Emergency Obstetric Care (EmOC) “signal functions”, which are key medical interventions needed to treat obstetric complications that are the leading causes of maternal death worldwide, namely hemorrhage, hypertensive diseases of pregnancy, infection, obstructed labor, and unsafe abortion [3]
Summary
Delivery and the first 24 hours after birth are high-risk periods for mothers and babies. In 1997, Guidelines for monitoring the availability and use of obstetric services were published by United Nations International Children’s Emergency Fund (UNICEF), WHO and United Nations Population Fund (UNFPA) These Guidelines focused on a short list of Emergency Obstetric Care (EmOC) “signal functions”, which are key medical interventions needed to treat obstetric complications that are the leading causes of maternal death worldwide, namely hemorrhage, hypertensive diseases of pregnancy, infection, obstructed labor, and unsafe abortion [3]. While these signal functions did not include every service that should be provided to care for pregnant women, they were intended to “signal” the level of care provided at individual facilities. This paper develops an approach for monitoring the childbirth environment that accounts for the delivery caseload of the facility
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.