Project description:BackgroundSignal functions for emergency obstetric and newborn care (EmONC) are the major interventions for averting maternal and neonatal mortalities. Readiness of the facilities is essential to provide all the basic and comprehensive signal functions for EmONC to ensure emergency services from the designated facilities. The study assessed population coverage and availability of EmONC services in public and private facilities in Bangladesh.MethodsAn assessment was conducted in all the public and private facilities providing obstetric care in to in-patients 24 districts. Data were collected on the performance of signal functions for EmONC from the study facilities in the last three months prior to the date of assessment. Trained data-collectors interviewed the facility managers and key service providers, along with review of records, using contextualized tools. Population coverage of signal functions was assessed by estimating the number of facilities providing the signal functions for EmONC compared to the United Nations requirements. Availability was assessed in terms of the proportion of facilities providing the services by type of facilities and by district.ResultsCaesarean section (CS) delivery and blood transfusion (BT) services (the two major components of comprehensive EmONC) were respectively available in 6.4 (0.9 public and 5.5 private) and 5.6 (1.3 public and 4.3 private) facilities per 500,000 population. The signal functions for basic EmONC, except two (parental anticonvulsants and assisted vaginal delivery), were available in a minimum of 5 facilities (public and private sectors combined) per 500,000 population. A major inter-district variation in the availability of signal functions was observed in each public- and private-sector facility. Among the various types of facilities, only the public medical college hospitals had all the signal functions. The situation was poor in other public facilities at the district and sub-district levels as well as in private facilities.ConclusionsIn the public sector, CS delivery and BT services were available in the minimum required number of facilities. However, to ensure basic EmONC services, participation of the private sector is necessary. Public-private partnership should be promoted for nationwide coverage of signal functions for EmONC in Bangladesh.

Project description:Background: Globally, the rate of reduction in delivery-associated maternal and perinatal mortality has been slow compared to improvements in post-delivery mortality in children under five. Improving clinical readiness for basic obstetric emergencies is crucial for reducing facility-based maternal deaths. Emergency readiness is commonly assessed using tracers derived from the maternal signal functions model.Objective-method: We compare emergency readiness using the signal functions model and a novel clinical cascade. The cascades model readiness as the proportion of facilities with resources to identify the emergency (stage 1), treat it (stage 2) and monitor-modify therapy (stage 3). Data were collected from 44 Kenyan clinics as part of an implementation trial.Findings: Although most facilities (77.0%) stock maternal signal function tracer drugs, far fewer have resources to practically identify and treat emergencies. In hypertensive emergencies for example, 38.6% of facilities have resources to identify the emergency (Stage 1 readiness, including sphygmomanometer, stethoscope, urine collection device, protein test). 6.8% have the resources to treat the emergency (Stage 2, consumables (IV Kit, fluids), durable goods (IV pole) and drugs (magnesium sulfate and hydralazine). No facilities could monitor or modify therapy (Stage 3). Across five maternal emergencies, the signal functions overestimate readiness by 54.5%. A consistent, step-wise pattern of readiness loss across signal functions and care stage emerged and was profoundly consistent at 33.0%.Significance: Comparing estimates from the maternal signal functions and cascades illustrates four themes. First, signal functions overestimate practical readiness by 55%. Second, the cascade's intuitive indicators can support cross-sector health system or program planners to more precisely measure and improve emergency care. Third, adding few variables to existing readiness inventories permits step-wise modeling of readiness loss and can inform more precise interventions. Fourth, the novel aggregate readiness loss indicator provides an innovative and intuitive approach for modeling health system emergency readiness. Additional testing in diverse contexts is warranted.

Project description:Measurement 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.We 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".Of 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.Reporting 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.

Project description:BackgroundEfforts to expand access to institutional delivery alone without quality of care do not guarantee better survival. However, little evidence documents the quality of childbirth care in Ethiopia, which limits our ability to improve quality. Therefore, this study assessed the quality of and barriers to routine childbirth care signal functions during intra-partum and immediate postpartum period.MethodsA sequential explanatory mixed method study was conducted among 225 skilled birth attendants who attended 876 recently delivered women in primary level facilities. A multi stage sampling procedure was used for the quantitative phase whilst purposive sampling was used for the qualitative phase. The quantitative survey recruitment occurred in July to August 2018 and in April 2019 for the qualitative key informant interview and Focus Group Discussions (FGD). A validated quantitative tool from a previous validated measurement study was used to collect quantitative data, whereas an interview guide, informed by the literature and quantitative findings, was used to collect the qualitative data. Principal component analysis and a series of univariate and multivariate linear regression analysis were used to analyze the quantitative data. For the qualitative data, verbatim review of the data was iteratively followed by content analysis and triangulation with the quantitative results.ResultsThis study showed that one out of five (20.7%, n = 181) mothers received high quality of care in primary level facilities. Primary hospitals (? = 1.27, 95% CI:0.80,1.84, p = 0.001), facilities which had staff rotation policies (? = 2.19, 95% CI:0.01,4.31, p = 0.019), maternal involvement in care decisions (? = 0.92, 95% CI:0.38,1.47, p = 0.001), facilities with maternal and newborn health quality improvement initiatives (? = 1.58, 95% CI:0.26, 3.43, p = 0.001), compassionate respectful maternity care training (? = 0.08, 95% CI: 0.07,0.88, p = 0.021), client flow for delivery (? = 0.19, 95% CI:-0.34, -0.04, p = 0.012), mentorship (? = 0.02, 95% CI:0.01, 0.78, p = 0.049), and providers' satisfaction (? = 0.16, 95% CI:0.03, 0.29, p = 0.013) were predictors of quality of care. This is complemented by qualitative research findings that poor quality of care during delivery and immediate postpartum related to: work related burnout, gap between providers' skill and knowledge, lack of enabling working environment, poor motivation scheme and issues related to retention, poor providers caring behavior, unable translate training into practice, mismatch between number of provider and facility client flow for delivery, and in availability of essential medicine and supplies.ConclusionsThere is poor quality of childbirth care in primary level facilities of Tigray. Primary hospitals, facilities with staff rotation, maternal and newborn health quality improvement initiatives, maternal involvement in care decisions, training on compassionate respectful maternity care, mentorship, and high provider satisfaction were found to have significantly increased quality of care. However, client flow for delivery service is negatively associated with quality of care. Efforts must be made to improve the quality of care through catchment-based mentorship to increase providers' level of adherence to good practices and standards. More attention and thoughtful strategies are required to minimize providers' work-related burnout.

Project description:BACKGROUND:Abortion-related mortality is one of the main causes of maternal mortality worldwide. Laws often restrict the provision of safe abortion care, yet post-abortion care is a service that all countries have committed to provide to manage abortion complications. There is minimal evidence on the capacity of national health systems to provide post-abortion care. METHODS:We did a multicountry analysis of data from nationally representative Service Provision Assessment surveys done between 2007 to 2017 in ten countries across three regions (Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Tanzania, and Uganda). Data were available for all ten countries from 2007 to 2015. We included facilities offering childbirth delivery services and classified facilities as primary or referral level. We measured signal functions for post-abortion care (the availability of key equipment and ability to perform services) to assess the proportion of primary-level and referral-level facilities in each country with the capacity to provide basic and comprehensive post-abortion care, respectively. We calculated the proportion of facilities providing each post-abortion care signal function to examine specific gaps in service provision. FINDINGS:There are critical gaps in the provision of post-abortion care at all facilities that offer delivery services. In seven (70%) of ten countries, less than 10% of primary-level facilities could provide basic post-abortion care, and in eight (80%) of ten countries less than 40% of referral-level facilities could provide comprehensive post-abortion care. In no country could all referral facilities provide all the essential services that need to be included in basic post-abortion care. INTERPRETATION:The capacity of primary-level and referral-level health facilities to provide basic and comprehensive post-abortion care, respectively, is low. The results highlight the gap between political commitments to address the consequences of unsafe abortion and the capacity of health systems to provide post-abortion care. Increasing the provision of good-quality post-abortion care is essential to reduce the level of abortion-related morbidity and mortality. FUNDING:UK Aid from the UK Government.

Project description:BackgroundMaternal and newborn mortality rates remain unacceptably high, especially where the majority of births occur in home settings or in facilities with inadequate resources. The introduction of emergency obstetric and newborn care services has been proposed by several organizations in order to improve pregnancy outcomes. However, the effectiveness of emergency obstetric and neonatal care services has never been proven. Also unproven is the effectiveness of community mobilization and community birth attendant training to improve pregnancy outcomes.Methods/designWe have developed a cluster-randomized controlled trial to evaluate the impact of a comprehensive intervention of community mobilization, birth attendant training and improvement of quality of care in health facilities on perinatal mortality in low and middle-income countries where the majority of births take place in homes or first level care facilities. This trial will take place in 106 clusters (300-500 deliveries per year each) across 7 sites of the Global Network for Women's and Children's Health Research in Argentina, Guatemala, India, Kenya, Pakistan and Zambia. The trial intervention has three key elements, community mobilization, home-based life saving skills for communities and birth attendants, and training of providers at obstetric facilities to improve quality of care. The primary outcome of the trial is perinatal mortality. Secondary outcomes include rates of stillbirth, 7-day neonatal mortality, maternal death or severe morbidity (including obstetric fistula, eclampsia and obstetrical sepsis) and 28-day neonatal mortality.DiscussionIn this trial, we are evaluating a combination of interventions including community mobilization and facility training in an attempt to improve pregnancy outcomes. If successful, the results of this trial will provide important information for policy makers and clinicians as they attempt to improve delivery services for pregnant women and newborns in low-income countries.Trial registrationClinicalTrials.gov NCT01073488.

Project description:IntroductionThere is a set of globally accepted and nationally adapted signal functions for categorising health facilities for maternal services. Newborn resuscitation is the only newborn intervention which is included in the WHO recommended list of emergency obstetric care signal functions. This is not enough to comprehensively assess the readiness of a health facility for providing newborn services. In order to address the major causes of newborn death, the Government of Bangladesh has prioritised a set of newborn interventions for national scale-up, the majority of which are facility-based. Effective delivery of these interventions depends on a core set of functions (skills and services). However, there is no standardised and approved set of newborn signal functions (NSFs) based on which the service availability and readiness of a health facility can be assessed for providing newborn services. Thus, this study will be the first of its kind to identify such NSFs. These NSFs can categorise health facilities and assist policymakers and health managers to appropriately plan and adequately monitor the progress and performance of health facilities delivering newborn healthcare.Methods and analysisWe will adopt the Delphi technique of consensus building for identification of NSFs and 1-2 indicator for each function while employing expert consultation from relevant experts in Bangladesh. Based on the identified NSFs and signal function indicators, the existing health facility assessment (HFA) tools will be updated, and an HFA survey will be conducted to assess service availability and readiness of public health facilities in relation to the new NSFs. Descriptive statistics (proportion) with a 95% CI will be used to report the level of service availability and readiness of public facilities regarding NSFs.Ethics and disseminationEthical approval was obtained from Research Review and Ethical Review Committee of icddr, b (PR-17089). Results will be disseminated through meetings, seminars, conference presentations and international peer-review journal articles.

Project description:BACKGROUND:Malawi is celebrated as one of the few countries in sub-Saharan Africa to meet the Millennium Development Goal of reducing under-5 mortality by two-thirds between 1990 and 2015. However, within this age range neonatal mortality rates are the slowest to decline, even though rates of facility births are increasing. Examining the quality of neonatal care at district-level facilities where most deliveries occur is warranted. OBJECTIVE:The objective of this paper is to evaluate the quality of neonatal care in three district hospitals and one primary health centre in southern Malawi as well as to report the limitations and lessons learned on using the WHO integrated quality of care assessment tool. METHODS:These facility assessments were part of the "Integrating a neonatal healthcare package for Malawi" project, a part of the Innovating for Maternal and Child Health in Africa (IMCHA) initiative. The WHO integrated quality of care assessment tool was used to assess quality of care and availability and quantity of supplies and resources. The modules on infrastructure, neonatal care and labour and delivery were included. Facility assessments were administered in November 2017 and aspects of care were scored on a Likert scale from one to five (a score of 5 indicating compliance with WHO standards of care; one as lowest indicating inadequate care). RESULTS:The continuum of labour, delivery and neonatal care were assessed to identify areas that required improvements to meet standards of care. Critical areas for improvements included infection control (mean score 2.9), equipment, supplies and setup for newborn care in the labor ward (2.3), in the surgical theater (3.3), and nursery (3.4 nursery facilities, 3.0 supplies and equipment), as well as for management of sick newborns (3.2), monitoring and follow-up (3.6). Only one of the 12 domains, laboratory, met the standards of care with only minor improvements needed (4.0). CONCLUSION:The WHO integrated quality of care assessment tool is a validated tool that can shed light on the complex quality of care challenges faced by district-level health facilities. The results reveal that the quality of care needs improvement, particularly for sick and vulnerable newborns.

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New signal functions to measure the ability of health facilities to provide routine and emergency newborn care.

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New signal functions to measure the ability of health facilities to provide routine and emergency newborn care.

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