scholarly journals Assessing capacity of health facilities to provide routine maternal and newborn care in low-income settings: what proportions are ready to provide good-quality care, and what proportions of women receive it?

2019 ◽  
Author(s):  
Keith Tomlin ◽  
Della Berhanu ◽  
Meenakshi Gautham ◽  
Nasir Umar ◽  
Joanna Schellenberg ◽  
...  

Abstract Background Good quality maternal and newborn care at primary health facilities is essential for both mothers and infants, but in settings with high maternal and newborn mortality the evidence for the protective effect of facility delivery is inconsistent. We surveyed samples of health facilities in three settings with high maternal mortality, to assess the quality of routine maternal and newborn care and the proportion of women delivering in facilities with a good standard of care. Surveys were conducted in 2012 and 2015 to assess changes in the quality of care over time. Methods Surveys were conducted in Ethiopia, the Indian state of Uttar Pradesh and Gombe State in North-Eastern Nigeria. 166 and 305 primary care facilities were sampled in 2012 and 2015 respectively. In each year we assessed whether each facility could provide four “signal” functions of routine maternal and newborn care. From facility registers we counted the number of deliveries in the previous six months and calculated the proportion of women giving birth in facilities which could offer good quality routine care. Results In Ethiopia the proportion of deliveries in facilities which provided all four signal functions rose from 40% (95% CI 26-57) in 2012 to 43% (95% CI 31-56) in 2015. In Uttar Pradesh in 2012 an estimated 4% (95% CI 1-24) of facility deliveries occurred in facilities which provided all four signal functions, rising to 39% (95% CI 25-55) in 2015. In Nigeria these estimates were 25% (95% CI 6-66) and zero for 2012 and 2015 respectively. Improvements in signal functions in Ethiopia and Uttar Pradesh were led by improved supplies of commodities while Nigeria experienced declines in supplies of commodities and the number of Skilled Birth Attendants employed. Conclusions This study quantifies how health facilities can provide sub-optimal maternal and newborn care, and may help explain inconsistent outcomes of health facility care in some settings. Signal function methodology can provide a rapid and inexpensive measure of the capacity of facilities to provide such care. Incorporating data on facility deliveries and repeating the analyses highlights the adjustments that could have greatest impact upon maternal and newborn care.

2020 ◽  
Author(s):  
Keith Tomlin ◽  
Della Berhanu ◽  
Meenakshi Gautham ◽  
Nasir Umar ◽  
Joanna Schellenberg ◽  
...  

Abstract Background Good quality maternal and newborn care at primary health facilities is essential, but in settings with high maternal and newborn mortality the evidence for the protective effect of facility delivery is inconsistent. We surveyed samples of health facilities in three settings with high maternal mortality to assess their readiness to provide routine maternal and newborn care, and proportions of women using facilities that were ready to offer good quality care. Surveys were conducted in 2012 and 2015 to assess changes over time. Methods Surveys were conducted in Ethiopia, the Indian state of Uttar Pradesh and Gombe State in North-Eastern Nigeria. At each facility the staffing, infrastructure and commodities were quantified. These formed components of four “signal functions” that describe aspects of routine maternal and newborn care. A facility was considered ready to perform a signal function if all the required components were present. Readiness to perform all four signal functions classed a facility as ready to provide good quality routine care. From facility registers we counted deliveries and calculated the proportions of women delivering in facilities ready to offer good quality routine care. Results In Ethiopia the proportion of deliveries in facilities classed as ready to offer good quality routine care rose from 40% (95% confidence interval (CI) 26-57) in 2012 to 43% (95% CI 31-56) in 2015. In Uttar Pradesh these estimates were 4% (95% CI 1-24) in 2012 and 39% (95% CI 25-55) in 2015, while in Nigeria they were 25% (95% CI 6-66) in 2012 and zero in 2015. Improved facility readiness in Ethiopia and Uttar Pradesh arose from increased supplies of commodities, while in Nigeria facility readiness fell due to depleted commodity supplies and fewer Skilled Birth Attendants. Conclusions This study quantifies the readiness of health facilities to offer good quality routine maternal and newborn care, and may help explain inconsistent outcomes of facility care in some settings. Signal function methodology can provide a rapid and inexpensive measure of such facility readiness. Incorporating data on facility deliveries and repeating the analyses highlights the adjustments that could have greatest impact upon routine maternal and newborn care.


2020 ◽  
Author(s):  
Keith Tomlin ◽  
Della Berhanu ◽  
Meenakshi Gautham ◽  
Nasir Umar ◽  
Joanna Schellenberg ◽  
...  

Abstract Background Good quality maternal and newborn care at primary health facilities is essential, but in settings with high maternal and newborn mortality the evidence for the protective effect of facility delivery is inconsistent. We surveyed samples of health facilities in three settings with high maternal mortality to assess their readiness to provide routine maternal and newborn care, and proportions of women using facilities that were ready to offer good quality care. Surveys were conducted in 2012 and 2015 to assess changes over time. Methods Surveys were conducted in Ethiopia, the Indian state of Uttar Pradesh and Gombe State in North-Eastern Nigeria. At each facility the staffing, infrastructure and commodities were quantified. These formed components of four “signal functions” that described aspects of routine maternal and newborn care. A facility was considered ready to perform a signal function if all the required components were present. Readiness to perform all four signal functions classed a facility as ready to provide good quality routine care. From facility registers we counted deliveries and calculated the proportions of women delivering in facilities ready to offer good quality routine care. Results In Ethiopia the proportion of deliveries in facilities classed as ready to offer good quality routine care rose from 40% (95% confidence interval (CI) 26-57) in 2012 to 43% (95% CI 31-56) in 2015. In Uttar Pradesh these estimates were 4% (95% CI 1-24) in 2012 and 39% (95% CI 25-55) in 2015, while in Nigeria they were 25% (95% CI 6-66) in 2012 and zero in 2015. Improved facility readiness in Ethiopia and Uttar Pradesh arose from increased supplies of commodities, while in Nigeria facility readiness fell due to depleted commodity supplies and fewer Skilled Birth Attendants. Conclusions This study quantified the readiness of health facilities to offer good quality routine maternal and newborn care, and may help explain inconsistent outcomes of facility care in some settings. Signal function methodology can provide a rapid and inexpensive measure of such facility readiness. Incorporating data on facility deliveries and repeating the analyses highlighted adjustments that could have greatest impact upon routine maternal and newborn care.


Curationis ◽  
2018 ◽  
Vol 41 (1) ◽  
Author(s):  
Yonas R. Guta ◽  
Patrone R. Risenga ◽  
Mary M. Moleki ◽  
Merertu T. Alemu

Background: Community-based care can serve as a valuable programme in the provision of essential maternal and newborn care, specifically in communities in low-income countries. However, its application in maternal and newborn care is not clearly documented in relation to the rendering of services by skilled birth attendants.Objectives: The purpose of the analysis was to clarify the meaning of the concept ‘community-based maternal and newborn care and its relationship to maternal and newborn health’.Method: Walker and Avant’s and Rodgers and Knafl’s as well as Chin and Kramer’s approaches to concept analysis were followed to analyse community-based maternal and newborn care.Results: The attributes of community-based care in maternal and newborn health include (1) the provision of home- and/or community-level skilled care, (2) linkages of health services and (3) community participation and mobilisation. These attributes are influenced by antecedents as well as consequences.Conclusion: The provision of good maternal and newborn care to all clients is a crucial aspect in provision of maternal and newborn services. In order for low-income countries to promote maternal and newborn health, community-based care services are the best option to follow.


The Lancet ◽  
2014 ◽  
Vol 384 (9948) ◽  
pp. 1129-1145 ◽  
Author(s):  
Mary J Renfrew ◽  
Alison McFadden ◽  
Maria Helena Bastos ◽  
James Campbell ◽  
Andrew Amos Channon ◽  
...  

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