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?

Readiness to provide comprehensive emergency obstetric and neonatal care: a cross-sectional study in 30 health facilities in Tanzania

BACKGROUND

Despite the global progress in bringing health services closer to the population, mothers and their newborns still receive substandard care leading to morbidity and mortality. Health facilities' capacity to deliver the service is a prerequisite for quality health care. This study aimed to assess health facilities' readiness to provide comprehensive emergency obstetric and newborn care (CEmONC), comprising of blood transfusion, caesarean section and basic services, and hence to inform improvement in the quality of care interventions in Tanzania.

METHODS

A cross-sectional assessment of 30 CEmONC health facilities implementing the Safer Births Bundle of Care package in five regions of Tanzania was carried out between December 2020 and January 2021. We adapted the World Health Organization's Service Availability and Readiness Assessment tool to assess amenities, equipment, trained staff, guidelines, medicines, and diagnostic facilities. Composite readiness scores were calculated for each category and results were compared at the health facility level. For categorical variables, we tested for differences by Fisher's exact test; for readiness scores, differences were tested by a linear mixed model analysis, taking into account dependencies within the regions. We used p < 0.05 as our level of significance.

RESULTS

The overall readiness to provide CEmONC was 69.0% and significantly higher for regional hospitals followed by district hospitals. Average readiness was 78.9% for basic amenities, 76.7% for medical equipment, 76.0% for diagnosis and treatment commodities, 63.6% for staffing and 50.0% for guidelines. There was a variation in the availability of items at the individual health facility level and across levels of facilities. We found a significant difference in the availability of basic amenities, equipment, staffing, and guidelines between regional, and district hospitals and health centres (p = 0.05). Regional hospitals had significantly higher scores of medical equipment than district hospitals and health centers (p = 0.02). There was no significant difference in the availability of commodities for diagnosis and treatment between different facility levels.

CONCLUSION

Facilities' readiness was inadequate and varied across different levels of the facility. There is room to improve the facilities' readiness to deliver quality maternal and newborn care. The responsible authorities should take immediate actions to address the observed deficiencies while carefully choosing the most effective and feasible interventions and monitoring progress in readiness.

Quantifying health facility service readiness for small and sick newborn care: comparing standards-based and WHO level-2 + scoring for 64 hospitals implementing with NEST360 in Kenya, Malawi, Nigeria, and Tanzania

BACKGROUND

Service readiness tools are important for assessing hospital capacity to provide quality small and sick newborn care (SSNC). Lack of summary scoring approaches for SSNC service readiness means we are unable to track national targets such as the Every Newborn Action Plan targets.

METHODS

A health facility assessment (HFA) tool was co-designed by Newborn Essential Solutions and Technologies (NEST360) and UNICEF with four African governments. Data were collected in 68 NEST360-implementing neonatal units in Kenya, Malawi, Nigeria, and Tanzania (September 2019-March 2021). Two summary scoring approaches were developed: a) standards-based, including items for SSNC service readiness by health system building block (HSBB), and scored on availability and functionality, and b) level-2 + , scoring items on readiness to provide WHO level-2 + clinical interventions. For each scoring approach, scores were aggregated and summarised as a percentage and equally weighted to obtain an overall score by hospital, HSBB, and clinical intervention.

RESULTS

Of 1508 HFA items, 1043 (69%) were included in standards-based and 309 (20%) in level-2 + scoring. Sixty-eight neonatal units across four countries had median standards-based scores of 51% [IQR 48-57%] at baseline, with variation by country: 62% [IQR 59-66%] in Kenya, 49% [IQR 46-51%] in Malawi, 50% [IQR 42-58%] in Nigeria, and 55% [IQR 53-62%] in Tanzania. The lowest scoring was family-centred care [27%, IQR 18-40%] with governance highest scoring [76%, IQR 71-82%]. For level-2 + scores, the overall median score was 41% [IQR 35-51%] with variation by country: 50% [IQR 44-53%] in Kenya, 41% [IQR 35-50%] in Malawi, 33% [IQR 27-37%] in Nigeria, and 41% [IQR 32-52%] in Tanzania. Readiness to provide antibiotics by culture report was the highest-scoring intervention [58%, IQR 50-75%] and neonatal encephalopathy management was the lowest-scoring [21%, IQR 8-42%]. In both methods, overall scores were low (< 50%) for 27 neonatal units in standards-based scoring and 48 neonatal units in level-2 + scoring. No neonatal unit achieved high scores of > 75%.

DISCUSSION

Two scoring approaches reveal gaps in SSNC readiness with no neonatal units achieving high scores (> 75%). Government-led quality improvement teams can use these summary scores to identify areas for health systems change. Future analyses could determine which items are most directly linked with quality SSNC and newborn outcomes.

Health facility assessment of small and sick newborn care in low- and middle-income countries: systematic tool development and operationalisation with NEST360 and UNICEF

BACKGROUND

Each year an estimated 2.3 million newborns die in the first 28 days of life. Most of these deaths are preventable, and high-quality neonatal care is fundamental for surviving and thriving. Service readiness is used to assess the capacity of hospitals to provide care, but current health facility assessment (HFA) tools do not fully evaluate inpatient small and sick newborn care (SSNC).

METHODS

Health systems ingredients for SSNC were identified from international guidelines, notably World Health Organization (WHO), and other standards for SSNC. Existing global and national service readiness tools were identified and mapped against this ingredients list. A novel HFA tool was co-designed according to a priori considerations determined by policymakers from four African governments, including that the HFA be completed in one day and assess readiness across the health system. The tool was reviewed by > 150 global experts, and refined and operationalised in 64 hospitals in Kenya, Malawi, Nigeria, and Tanzania between September 2019 and March 2021.

RESULTS

Eight hundred and sixty-six key health systems ingredients for service readiness for inpatient SSNC were identified and mapped against four global and eight national tools measuring SSNC service readiness. Tools revealed major content gaps particularly for devices and consumables, care guidelines, and facility infrastructure, with a mean of 13.2% (n = 866, range 2.2-34.4%) of ingredients included. Two tools covered 32.7% and 34.4% (n = 866) of ingredients and were used as inputs for the new HFA tool, which included ten modules organised by adapted WHO health system building blocks, including: infrastructure, pharmacy and laboratory, medical devices and supplies, biomedical technician workshop, human resources, information systems, leadership and governance, family-centred care, and infection prevention and control. This HFA tool can be conducted at a hospital by seven assessors in one day and has been used in 64 hospitals in Kenya, Malawi, Nigeria, and Tanzania.

CONCLUSION

This HFA tool is available open-access to adapt for use to comprehensively measure service readiness for level-2 SSNC, including respiratory support. The resulting facility-level data enable comparable tracking for Every Newborn Action Plan coverage target four within and between countries, identifying facility and national-level health systems gaps for action.

Maternal health policy environment and the relationship with service utilization in low- and middle-income countries

Background

The extent to which a favorable policy environment influences health care utilization and outcomes for pregnant and postpartum women is largely unknown. In this study, we aimed to describe the maternal health policy environment and examines its relationship with maternal health service utilization in low- and middle-income countries (LMICs).

Methods

We used data from World Health Organization's 2018-2019 sexual, reproductive, maternal, newborn, child, and adolescent health (SRMNCAH) policy survey linked with key contextual variables from global databases, as well as UNICEF data on antenatal care (ANC), institutional delivery, and postnatal care (PNC) utilization in 113 LIMCs. We grouped maternal health policy indicators into four categories - national supportive structures and standards, service access, clinical guidelines, and reporting and review systems. For each category and overall, we calculated summative scores accounting for available policy indicators in each country. We explored variations of policy indicators by World Bank income group using χ² tests and fitted logistic regression models for ≥85% coverage for each of four or more antenatal care visits (ANC4+), institutional delivery, PNC for the mothers, and for all ANC4+, institutional delivery, and PNC for mothers, adjusting for policy scores and contextual variables.

Results

The average scores for the four policy categories were as follows: 3 for national supportive structures and standards (score range = 0-4), 5.5 for service access (score range = 0-7), 6. for clinical guidelines (score range = 0-10), and 5.7 for reporting and review systems (score range = 0-7), for an average total policy score of 21.1 (score range = 0-28) across LMICs. After adjusting for country context variables, for each unit increase in the maternal health policy score, the odds of ANC4+>85% increased by 37% (95% confidence interval (CI) = 1.13-1.64) and the odds of all ANC4+, institutional deliveries and PNC>85% by 31% (95% CI = 1.07-1.60).

Conclusions

Despite the availability of supportive structures and free maternity service access policies, there is a dire need for stronger policy support for clinical guidelines and practice regulations, as well as national reporting and review systems for maternal health. A more favorable policy environment for maternal health can improve adoption of evidence-based interventions and increase utilization of maternal health services in LMICs.

Methodological reflections on health system oriented assessment of maternity care in 16 hospitals in sub-Saharan Africa: an embedded case study

Health Facility Assessments (HFAs) assessing facilities' readiness to provide services are well-established. However, HFA questionnaires are typically quantitative and lack depth to understand systems in which health facilities operate-crucial to designing context-oriented interventions. We report lessons from a multiple embedded case study exploring the experiences of HFA data collectors in implementing a novel HFA tool developed using systems thinking approach. We assessed 16 hospitals in four countries (Benin, Malawi, Tanzania, and Uganda) as part of a quality improvement implementation research. Our tool was organized in 17 sections and included dimensions of hospital governance, leadership, and financing; maternity care standards and procedures; ongoing quality improvement practices; interactions with communities; and mapping of the areas related to maternal care. Data for this study was collected using in-depth interviews with senior experts who conducted the HFA in the countries one to three months after completion of the HFAs. Data were analyzed using the inductive thematic analysis approach. Our HFA faced challenges in logistics (accessing key hospital-based respondents, high turnover of managerial staff, and difficulty accessing information considered sensitive in the context) and methodology (response bias, lack of data quality, and data entry into an electronic platform). Data elements of governance, leadership, and financing were the most affected. Opportunities and strategies adopted aimed at enhancing data collection (building on prior partnerships, understanding local and institutional bureaucracies) and enhancing data richness (identifying respondents with institutional memory, learning from experience, and conducting observations at various times). Moreover, HFA data collectors conducted abstraction of records and interviews in a flexible and adaptive way to enhance data quality. Lessons and new skills learned from our HFA could be used as inputs to respond to the growing need of integrating the systems thinking approach in HFA to improve contextual understanding of operations and structure.

What are the essential components of antenatal care? A systematic review of the literature and development of signal functions to guide monitoring and evaluation

BACKGROUND

Antenatal care (ANC) is one of the key care packages required to reduce global maternal and perinatal mortality and morbidity.

OBJECTIVES

To identify the essential components of ANC and develop signal functions.

SEARCH STRATEGY

MESH headings for databases including Cinahl, Cochrane, Global Health, Medline, PubMed and Web of Science.

SELECTION CRITERIA

Papers and reports on content of ANC published from 2000 to 2020.

DATA COLLECTION AND ANALYSIS

Narrative synthesis of data and development of signal function through 7 consensus-building workshops with 184 stakeholders.

MAIN RESULTS

A total of 221 papers and reports are included from which 28 essential components of ANC were extracted and used to develop 15 signal functions with the equipment, medication and consumables required for implementation of each. Signal functions for the prevention and management of infectious diseases (malaria, HIV, tuberculosis, syphilis and tetanus) can be applied depending on population disease burden. Screening and management of pre-eclampsia, gestational diabetes, anaemia, mental and social health (including intimate partner violence) are recommended universally. Three signal functions address monitoring of fetal growth and wellbeing, and identification and management of obstetric complications. Promotion of health and wellbeing via education and support for nutrition, cessation of substance abuse, uptake of family planning, recognition of danger signs and birth preparedness are included as essential components of ANC.

CONCLUSIONS

New signal functions have been developed which can be used for monitoring and evaluation of content and quality of ANC. Country adaptation and validation is recommended.

Improving maternal and newborn health services in Northeast Nigeria through a government-led partnership of stakeholders: a quasi-experimental study

OBJECTIVES

This study aimed to quantify change in the coverage, quality and equity of essential maternal and newborn healthcare interventions in Gombe state, Northeast Nigeria, following a four year, government-led, maternal and newborn health intervention.

DESIGN

Quasi-experimental plausibility study. Repeat cross-sectional household and linked health facility surveys were implemented in intervention and comparison areas.

SETTING

Gombe state, Northeast Nigeria.

PARTICIPANTS

Each household survey included a sample of 1000 women aged 13-49 years with a live birth in the previous 12 months. Health facility surveys comprised a readiness assessment and birth attendant interview.

INTERVENTIONS

Between 2016-2019 a complex package of evidence-based interventions was implemented to increase access, use and quality of maternal and newborn healthcare, spanning the six WHO health system building blocks.

OUTCOME MEASURES

Eighteen indicators of maternal and newborn healthcare.

RESULTS

Between 2016 and 2019, the coverage of all indicators improved in intervention areas, with the exception of postnatal and postpartum contacts, which remained below 15%. Greater improvements were observed in intervention than comparison areas for eight indicators, including coverage of at least one antenatal visit (71% (95% CI 62 to 68) to 88% (95% CI 82 to 93)), at least four antenatal visits (46% (95% CI 39 to 53) to 69% (95% CI 60 to 75)), facility birth (48% (95% CI 37 to 59) to 64% (95% CI 54 to 73)), administration of uterotonics (44% (95% CI 34 to 54) to 59% (95% CI 50 to 67)), delayed newborn bathing (44% (95% CI 36 to 52) to 62% (95% CI 52 to 71)) and clean cord care (42% (95% CI 34 to 49) to 73% (95% CI 66 to 79)). Wide-spread inequities persisted however; only at least one antenatal visit saw pro-poor improvement.

CONCLUSIONS

This intervention achieved improvements in life-saving behaviours for mothers and newborns, demonstrating that multipartner action, coordinated through government leadership, can shift the needle in the right direction, even in resource-constrained settings.

Water, sanitation, and hygiene (WASH) facilities and infection control/prevention practices in traditional birth homes in Southwest Nigeria

Background

Poor environmental conditions and hygiene practices at the time of childbirth is linked to life-threatening infections and death in mothers and babies. Improvements in water, sanitation, and hygiene (WASH) have been identified as a means through which the lives of mothers and babies could be saved. This study was carried out to explore WASH conditions and infection prevention and control (IPC) practices in traditional birth homes/centers in Abeokuta, Southwest Nigeria. A total of 50 traditional birth centers and attendants (TBAs) were enrolled in the study. Sociodemographic characteristics of the TBAs and features of the birth centers were obtained using a semi-structured questionnaire. Assessment of WASH conditions and IPC practices was based on established protocols.

Results

Findings revealed that majority of the centers operated under poor WASH conditions and IPC practices; none met with the WHO minimum standards for environmental health.

Conclusions

Adequate WASH facilities and IPC practices remain a critical component of maternal and child health even in non-facility birth. As the transition to facility births continues in many countries, the large number of non-facility births demands their inclusion in WASH-related strategies, if global goals of reducing deaths of newborns and women deaths will be achieved.

Use of a participatory quality assessment and improvement tool for maternal and neonatal hospital care. Part 1: Review of implementation features and observed quality gaps in 25 countries

BACKGROUND

A substantial proportion of maternal and neonatal mortality and morbidity is attributable to gaps in quality of care. A systematic, standard-based tool for quality assessment and improvement for maternal and neonatal hospital care (QA/QI MN tool) was developed in 2009 by the World Health Organization (WHO). The tool guides the assessment process along the whole continuum from admission to discharge, collects the views of the recipients of care and engages hospital mangers and staff in identifying gaps and drafting an action plan.

METHODS

Publications describing use of the WHO QA/QI MN tool from 2009 to 2017 and reports retrievable from WHO or other development partners' websites were searched and considered for inclusion in the review. Only assessments of hospitals were considered. Quality gaps were classified as regarding case management in maternal care, case management in neonatal care, hospital infrastructure, hospital policies and according to severity and frequency. Quotations from women regarding key issues in effective communication, respect and dignity, emotional support and costs incurred were selected.

RESULTS

In the period 2009-2017, use of the WHO QA/QI MN tool was documented in 25 countries, belonging to Central and Eastern Europe (8), Central Asia (4), Sub-Saharan Africa (11), Latin America (1) and Middle East (1). Overall, 133 hospitals were assessed. The tool allowed to identify in great detail serious quality gaps including: insufficient or incomplete adherence to recommended evidence-based procedures for normal childbirth and maternal and neonatal complications; excess of inappropriate or unnecessary interventions; insufficient infection control; failure to provide respectful care, adequate communication and emotional support to mothers and babies; poor use of information generated locally to analyse processes and outcomes. These gaps were observed in all countries. Significant differences were observed among facilities belonging to the same health systems, ie, with very similar staffing, infrastructure and equipment.

CONCLUSIONS

The experience made, the largest of this kind, provides comprehensive and detailed insight into the existing quality gaps in a wide variety of settings. QI cycles at facility level should be primarily based on assessments made by multidisciplinary teams of professionals to identify the parts of the care pathways which require improvement through a participatory approach involving managers, staff and patients.