Case review of perinatal deaths at hospitals in Kigali, Rwanda: perinatal audit with application of a three-delays analysis

Identifying avoidable causes of perinatal deaths in a district hospital in Lesotho

BACKGROUND

 Certain determinants can be associated with avoidable perinatal deaths, and audits are needed to establish what these determinants are, and what can be done to prevent such deaths.

OBJECTIVES

 The study aimed at identifying and describing determinants associated with avoidable perinatal deaths at a district hospital in Lesotho and strategies to curb their occurrence.

METHOD

 A retrospective descriptive study was conducted using 142 anonymised obstetric records from January 2018 to December 2020. A data collection tool was adopted from the Perinatal Problem Identification Programme. In this tool, avoidable determinants are referred to as 'factors' or 'problems'.

RESULTS

 A concerning number of perinatal deaths were secondary to avoidable patient factors, namely a delay in seeking medical care, inappropriate responses to antepartum haemorrhage, and inadequate responses to poor foetal movements. Medical personnel factors are also worth observing, namely incorrect use of partograph, insufficient notes to comment on avoidable factors and 'other' medical personnel problems. Ranking highest among administrative problems were the unavailability of intensive care unit beds and ventilators and inadequate resuscitation equipment. Administrative problems accounted for more perinatal deaths than the patient-related factors and medical personnel factors.

CONCLUSION

 There is an urgent need for periodic audits, health education for patients, staff competency and the necessary equipment to resuscitate neonates.Contribution: Avoidable determinants associated with perinatal deaths in a district hospital in Lesotho could be identified. This information provides an understanding of what can be done to limit avoidable perinatal deaths.

Determinants of stillbirths in sub-Saharan Africa: A systematic review

BACKGROUND

Sub-Saharan African (SSA) countries have high stillbirth rates compared with high-income countries, yet research on risk factors for stillbirth in SSA remain scant.

OBJECTIVES

To identify the modifiable risk factors of stillbirths in SSA and investigate their strength of association using a systematic review.

SEARCH STRATEGY

CINAHL Plus, EMBASE, Global Health and MEDLINE databases were searched for literature.

SELECTION CRITERIA

Observational population- and facility-level studies exploring stillbirth risk factors, published in 2013-2019 were included.

DATA COLLECTION AND ANALYSIS

A narrative synthesis of data was undertaken and the potential risk factors were classified into subgroups.

MAIN RESULTS

Thirty-seven studies were included, encompassing 20 264 stillbirths. The risk factors were categorised as: maternal antepartum factors (0-4 antenatal care visits, multiple gestations, hypertension, birth interval of >3 years, history of perinatal death); socio-economic factors (maternal lower wealth index and basic education, advanced maternal age, grand multiparity of ≥5); intrapartum factors (direct obstetric complication); fetal factors (low birthweight and gestational age of <37 weeks) and health systems factors (poor quality of antenatal care, emergency referrals, ill-equipped facility). The proportion of unexplained stillbirths remained very high. No association was found between stillbirths and body mass index, diabetes, distance from the facility or HIV.

CONCLUSIONS

The overall quality of evidence was low, as many studies were facility based and did not adjust for confounding factors. This review identified preventable risk factors for stillbirth. Focused programmatic strategies to improve antenatal care, emergency obstetric care, maternal perinatal education, referral and outreach systems, and birth attendant training should be developed. More population-based, high-quality research is needed.

The Journey Toward Establishing Inpatient Care for Small and Sick Newborns in Ethiopia, India, Malawi, and Rwanda

BACKGROUND

Limited information is available about the approaches used and lessons learned from low- and middle-income countries that have implemented inpatient services for small and sick newborns. We developed descriptive case studies to compare the journeys to establish inpatient newborn care across Ethiopia, India, Malawi, and Rwanda.

METHODS

A total of 57 interviews with stakeholders in Ethiopia (n=12), India (n=12), Malawi (n=16), and Rwanda (n=17) informed the case studies. Our heuristic data analysis followed a deductive organizing framework approach. We informed our data analysis via targeted literature searches to uncover details related to key events. We used the NEST360 Theory of Change for facility-based care, which reflects the World Health Organization (WHO) Health Systems Framework as a starting point and added, as necessary, in an edit processing format until data saturation was achieved.

FINDINGS

Results highlight the strategies and innovation used to establish small and sick newborn care by health system building block and by country. We conducted a gap analysis of implementation of WHO Standards for Improving Facility-Based Care. The journeys to establish inpatient newborn care across the 4 countries are similar in terms of trajectory yet unique in their implementation. Unifying themes include leadership and governance at national level to consolidate and coordinate action to improve newborn quality of care, investment to build staff skills on data collection and use, and institutionalization of regular neonatal data reviews to identify gaps and propose relevant strategies.

CONCLUSION

Efforts to establish and scale inpatient care for small and sick newborns in Ethiopia, India, Malawi, and Rwanda over the last decade have led to remarkable success. These country examples can inspire more nascent initiatives that other low- and middle-income countries may undertake. Documentation should give voice to lived country experience, not all of which is fully captured in existing, peer-reviewed published literature.

Association between quality antenatal care and low birth weight in Rwanda: a cross-sectional study design using the Rwanda demographic and health surveys data

BACKGROUND

Low birth weight (LBW) is an important factor influencing infant morbidity and mortality. Pregnant women should receive a variety of interventions during antenatal care (ANC) that are crucial in improving birth weight. ANC visits alone do not promise that women have received all recommended antenatal services. However, there are limited evidence of the relationship between ANC quality and LBW in Rwanda. Therefore, the purpose of this study was to assess the association between quality ANC and LBW along with the factors influencing LBW and how quality ANC affects LBW in Rwandan pregnant women.

METHODS

The Demographic and Health Surveys (DHS) are cross-sectional, nationally representative household surveys that collect population, health, and nutrition. In this Study we used three waves of Rwanda Demographic and Health Surveys 2010,2014-5 and 2019-20. A total of 16,144 women aged 15 to 49 years who had live births in the five years preceding each survey were included in this study. A stratified two-stage sampling methods was used to select the participants. The first stage involves selecting clusters (villages) from a list of all clusters in the country. The second stage involves selecting households within each cluster. A survey adjusted for clusters at multiple level and a bivariate and multivariable logistic regression was used to estimate adjusted odds ratios(aOR) and 95% confidence intervals to assess the association between the outcome and independent variables.

RESULTS

The utilization of a high-quality ANC increased slightly over the three survey years and LBW had a slow decline. Out of 5813 women;201(3.45%) had high-quality ANC in the 2010 survey, and out of 5813 newborns,180(3.10%) were LBW. Out of 5404 women;492(9.11%) had high-quality ANC in 2015, and out of 5404 newborns,151(2.79% were LBW). Out of 5203 women,776(14.92%) had high-quality ANC in the 2020 survey year, and out of the 5206 newborns,139(2.67%) were LBW. In multivariable analysis, at a borderline limit high quality ANC was negatively associated with LBW(aOR:0.67;95%CI:0.43,1.05) compared to low-quality ANC. Higher birth orders of the newborn were negatively associated with LBW (aOR:0.63;95%CI:0.49,0.82 and aOR:0.44;95%CI:0.32,0.61 for 2nd -3rd and 4th and above respectively) compared to 1st orders newborn. Newborns from rich households were less likely to experience LBW than those from poor households (aOR:0.71;95%CI:0.55,0.91). Female newborns were associated with an increase of LBW (aOR:1.43;95% CI:1.18,1.73) than male newborns.

CONCLUSION

The findings confirm the fundamental importance of a high-quality ANC on LBW. The findings could be utilized to develop monitoring strategies and assess pregnancy health assistance programs with a focus on LBW reduction.

Facility-based stillbirth review processes used in different countries across the world: a systematic review

Background

Facility-based stillbirth review provides opportunities to estimate incidence, evaluate causes and risk factors for stillbirths, and identify any issues related to the quality of pregnancy and childbirth care which require improvement. Our aim was to systematically review all types and methods of facility-based stillbirth review processes used in different countries across the world, to examine how stillbirth reviews in facility settings are being conducted worldwide and to identify the outcomes of implementing the reviews. Moreover, to identify facilitators and barriers influencing the implementation of the identified facility-based stillbirth reviews processes by conducting subgroup analyses.

Methods

A systematic review of published literature was conducted by searching MEDLINE (OvidSP) [1946-present], EMBASE (OvidSP) [1974-present], WHO Global Index Medicus (globalindexmedicus.net), Global Health (OvidSP) [1973-2022 Week 8] and CINAHL (EBSCOHost) [1982-present] from their inception until 11 January, 2023. For unpublished or grey literature, the WHO databases, Google Scholar and ProQuest Dissertations & Theses Global were searched, as well as hand searching the reference lists of included studies. MESH terms encompassing "∗Clinical Audit", "∗Perinatal Mortality", "Pregnancy Complications", and "Stillbirth" were used with Boolean operators. Studies that used a facility-based review process or any approach to evaluate care prior to stillbirth, and explained the methods used were included. Reviews and editorials were excluded. Three authors (YYB, UGA, and DBT) independently screened and extracted data, and assessed the risk of bias using an adapted JBI's Checklist for Case Series. A logic model was used to inform the narrative synthesis. The review protocol was registered with PROSPERO, CRD42022304239.

Findings

A total of 68 studies from 17 high-income (HICs) and 22 low-and-middle-income countries (LMICs) met the inclusion criteria from a total of 7258 identified records. These were stillbirth reviews conducted at different levels: district, state, national, and international. Three types were identified: audit, review, and confidential enquiry, but not all desired components were included in most processes, which led to a mismatch between the description of the type and the actual method used. Routine data from hospital records was the most common data source for identifying stillbirths, and case assessment was based on stillbirth definition in 48 out of 68 studies. Hospital notes were the most common source of information about care received and causes/risk factors for stillbirth. Short-term and medium-term outcomes were reported in 14 studies, but impact of the review process on reducing stillbirth, which is more difficult to establish, was not reported in any study. Facilitators and barriers in implementing a successful stillbirth review process identified from 14 studies focused on three main themes: resources, expertise, and commitment.

Interpretation

This systematic review's findings identified that there is a need for clear guidelines on how to measure the impact of implementation of changes based on outputs of stillbirth reviews and methods to enable effective dissemination of learning points in the future and promoting them through training platforms. In addition, there is a need to develop and adopt a universal definition of stillbirth to facilitate meaningful comparison of stillbirth rates between regions. The key limitation of this review is that while using a logic model for narrative synthesis was deemed most appropriate for this study, sequence of implementing a stillbirth review in the real world is not linear, and assumptions are often not met. Therefore, the logic model proposed in this study should be interpreted with flexibility when designing a stillbirth review process. The generated learnings from the stillbirth review processes inform the action plans and allow facilities to consider where the changes should happen to improve the quality of care in the facilities, enabling positive short-term and medium-term outcomes.

Funding

Kellogg College, University of Oxford, Clarendon Fund, University of Oxford, Nuffield Department of Population Health, University of Oxford and Medical Research Council (MRC).

Designed to Fail? Revisiting Uganda's Maternal Health Policies to Understand Policy Design Issues Underpinning Missed Targets for Reduction of Maternal Mortality Ratio (MMR): 2000-2015

BACKGROUND

Despite Uganda and other sub-Saharan African countries missing their maternal mortality ratio (MMR) targets for Millennium Development Goal (MDG) 5, limited attention has been paid to policy design in the literature examining the persistence of preventable maternal mortality. This study examined the specific policy interventions designed to reduce maternal deaths in Uganda and identified particular policy design issues that underpinned MDG 5 performance. We suggest a novel prescriptive and analytical (re)conceptualization of policy in terms of its fidelity to '3Cs' (coherence of design, comprehensiveness of coverage and consistency in application) that could have implications for future healthcare programming.

METHODS

We conducted a retrospective study. Sixteen Ugandan maternal health policy documents and 21 national programme performance reports were examined, and six key informant interviews conducted with national stakeholders managing maternal health programmes during the reference period 2000-2015. We applied the analytical framework of the 'three delay model' combined with a broader literature on 'policy mixing.'

RESULTS

Despite introducing fourteen separate policy instruments over 15 years with the goal of reducing maternal mortality, by the end of the MDG period in 2015, only 87.5% of the interventions for the three delays were covered with a notable lack of coherence and consistency evident among the instruments. The three delays persisted at the frontline with 70% of deaths by 2014 attributed to failures in referral policies while 67% of maternal deaths were due to inadequacies in healthcare facilities and trained personnel in the same period. By 2015, 37.3% of deaths were due to transportation issues.

CONCLUSION

The piecemeal introduction of additional policy instruments frequently distorted existing synergies among policies resulting in persistence of the three delays and missed MDG 5 target. Future policy reforms should address the 'three delays' but also ensure fidelity of policy design to coherence, comprehensiveness and consistency.

Cause and risk factors of early neonatal death in Ethiopia

Background

Globally, three fourth of neonatal deaths occur during the early neonatal period, this makes it a critical time to reduce the burden of neonatal death. The survival status of a newborn is determined by the individual (neonatal and maternal), and facility-level factors. Several studies were conducted in Ethiopia to assess early neonatal death; however, most of the studies had limited participants and did not well address the two main determinant factors covered in this study. In response to this gap, this study attempted to examine factors related to early neonatal death based on perinatal death surveillance data in consideration of all the possible determinants of early neonatal death.

Methods

The national perinatal death surveillance data were used for this study. A total of 3814 reviewed perinatal deaths were included in the study. Bayesian multilevel parametric survival analysis was employed to identify factors affecting the survival of newborns during the early neonatal period. Adjusted time ratio (ATR) with 95% Bayesian credible intervals (CrI) was reported and log-likelihood was used for model comparison. Statistical significance was declared based on the non-inclusion of 1.0 in the 95% CrI.

Result

More than half (52.4%) of early neonatal deaths occurred within the first two days of birth. Per the final model, as gestational age increases by a week the risk of dying during the early neonatal period is reduced by 6% [ATR = 0.94,95%CrI:(0.93–0.96)]. There was an increased risk of death during the early neonatal period among neonates deceased due to birth injury as compared to neonates who died due to infection [ATR = 2.05,95%CrI:(1.30–3.32)]; however, perinates who died due to complication of an intrapartum event had a lower risk of death than perinates who died due to infection [ATR = 0.87,95%CrI:(0.83–0.90)]. As the score of delay one and delay three increases by one unit, the newborn’s likelihood of surviving during the early neonatal period is reduced by 4% [ATR = 1.04,95%CrI:(1.01–1.07)] and 21% [ATR = 1.21,95%CrI:(1.15–1.27)] respectively. Neonates born from mothers living in a rural area had a higher risk of dying during the early neonatal period than their counterparts living in an urban area [ATR = 3.53,95%CrI:(3.34–3.69)]. As compared to neonates treated in a primary health facility, being treated in secondary [ATR = 1.14,95%CrI:(1.02–1.27)] and tertiary level of care [ATR = 1.15,95%CrI:(1.04–1.25)] results in a higher risk of death during the early neonatal period.

Conclusion

The survival of a newborn during the early neonatal period is determined by both individual (gestational age, cause of death, and delay one) and facility (residence, type of health facility and delay three) level factors. Thus, to have a positive early neonatal outcome, a tailored intervention is needed for the three major causes of death (i.e Infection, birth injury, and complications of the intrapartum period). Furthermore, promoting maternal health, improving the health-seeking behaviour of mothers, strengthening facility readiness, and narrowing down inequalities in service provision are recommended to improve the newborn’s outcomes during the early neonatal period.

Three delays model applied to pediatric injury care seeking in Northern Tanzania: A mixed methods study

Pediatric injuries are a leading cause of morbidity and mortality in low-and middle-income countries. Timely presentation to care is key for favorable outcomes. The goal of this study was to identify and examine delays that children experience between injury and receiving definitive care at a zonal referral hospital in Northern Tanzania. Between November 2020 and October 2021, we enrolled 348 pediatric trauma patients, collecting quantitative data on referral and timing information. In-depth interviews (IDIs) to explain and explore delays to care were completed with a sub-set of 30 family members. Data were analyzed according to the Three Delays Model. 81.0% (n = 290) of pediatric injury patients sought care at an intermediary facility before reaching the referral hospital. Time from injury to presentation at the referral hospital was 10.2 hours [IQR 4.8, 26.5] if patients presented first to clinics, 8.0 hours [IQR 3.9, 40.0] if patients presented first to district/regional hospitals, and 1.4 hours [IQR 0.7, 3.5] if patients presented directly to the referral hospital. In-hospital mortality was 8.2% (n = 30); 86.7% (n = 26) of these children sought care at an intermediary facility prior to reaching the referral hospital. IDIs revealed themes related to each delay. For decision to seek care (Delay 1), delays included emergency recognition, applying first aid, and anticipated challenges. For reaching definitive care (Delay 2), delays included caregiver rationale for using intermediary facilities, the complex referral system, logistical challenges, and intermediary facility delays. For receiving definitive care (Delay 3), wait time and delays due to treatment cost existed at the referral hospital. Factors throughout the healthcare system contribute to delays in receipt of definitive care for pediatric injuries. To minimize delays and improve patient outcomes, interventions are needed to improve caregiver and healthcare worker education, streamline the current trauma healthcare system, and improve quality of care in the hospital setting.

Perinatal mortality audit in a rural referral hospital in Tanzania to inform future interventions: A descriptive study

Background

Clear evidence exists that perinatal audit and feedback can lead to important improvements in practice. The death audit can lead to the identification of existing potential delays which are the decision to seek medical care, reaching an appropriate facility, and receiving timely adequate care at the facility. Such an audit potentially initiates a positive discussion, which may foster the implementation of changes that aims at saving more lives.

Objective

To review the perinatal deaths case notes and identify potential gaps in care provision and health-seeking behavior to foster best practice.

Methods

The stillbirths and neonatal death case notes that occurred between January 2019 and May 2020 at the hospital were reviewed using an adapted WHO checklist. The completed review case notes were entered into an electronic system and a quality control check-up was done. Data were analysed descriptively, and findings were presented in tables.

Results

There were 4,898 births, and 1,175 neonatal admissions, out of these there were 135 recorded stillbirths (2.8%) and 201(4.1% of the total hospital births) early neonatal deaths. Out of the 1,175 neonates, 635 (54%) were born within the hospital and 540 (46%) were admitted from other facilities and home deliveries. In total 86 stillbirths and 140 early neonatal deaths case notes were retrieved and audited. Out of 86 stillbirths’ case notes audited, 30 (34.9%) seemed to have died during labor, and of these 5 had audible fetal heart rate during admission. Apgar scores less than 7 at 5 minutes, prematurity, and meconium aspiration were the top three recorded causes of neonatal deaths. Inadequate/late antenatal care visits and home delivery were the maternal factors likely to have contributed to perinatal deaths. Inadequate labor monitoring (12%) and documentation (62%) were among the providers’ factors likely to have contributed to perinatal deaths.

Conclusion

This audit shows that there are high rates of preventable intrapartum stillbirths and early neonatal deaths. Both women and providers’ factors were found to have contributed to the stillbirths and neonatal deaths. There is a need to encourage women to adequately attend antenatal care, utilize health facilities during birth, and improve maternity and neonatal care at the health facilities.

Audit identified modifiable factors in Hospital Care of Newborns in low-middle income countries: a scoping review

BACKGROUND

Audit of facility-based care provided to small and sick newborns is a quality improvement initiative that helps to identify the modifiable gaps in newborn care (BMC Pregnancy Childbirth 14: 280, 2014). The aim of this work was to identify literature on modifiable factors in the care of newborns in the newborn units in health facilities in low-middle-income countries (LMICs). We also set out to design a measure of the quality of the perinatal and newborn audit process.

METHODS

The scoping review was conducted using the methodology outlined by Arksey and O'Malley and refined by Levac et al, (Implement Sci 5:1-9, 2010). We reported our results using the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines. We identified seven factors to ensure a successful audit process based on World Health Organisation (WHO) recommendations which we subsequently used to develop a quality of audit process score.

DATA SOURCES

We conducted a structured search using PubMed, CINAHL, EMBASE, LILACS, POPLINE and African Index Medicus.

STUDY SELECTION

Studies published in English between 1965 and December 2019 focusing on the identification of modifiable factors through clinical or mortality audits in newborn care in health facilities from LMICs.

DATA EXTRACTION

We extracted data on the study characteristics, modifiable factors and quality of audit process indicators.

RESULTS

A total of six articles met the inclusion criteria. Of these, four were mortality audit studies and two were clinical audit studies that we used to assess the quality of the audit process. None of the studies were well conducted, two were moderately well conducted, and four were poorly conducted. The modifiable factors were divided into three time periods along the continuum of newborn care. The period of newborn unit care had the highest number of modifiable factors, and in each period, the health worker related modifiable factors were the most dominant.

CONCLUSION

Based on the significant number of modifiable factors in the newborn unit, a neonatal audit tool is essential to act as a structured guide for auditing newborn unit care in LMICs. The quality of audit process guide is a useful method of ensuring high quality audits in health facilities.

Baseline assessment of the WHO/UNICEF/UNFPA maternal and newborn quality-of-care standards around childbirth: Results from an intermediate hospital, northeast Namibia

BACKGROUND

Quality of care around childbirth can reduce above half of the stillbirths and newborn deaths. Northeast Namibia's neonatal mortality is higher than the national level. Yet, no review exists on the quality of care provided around childbirth. This paper reports on baseline assessment for implementing WHO/UNICEF/UNFPA quality measures around childbirth.

METHODS

A mixed-methods research design was used to assess quality of care around childbirth. To obtain good saturation and adequate women opinions, we purposively sampled the only high-volume hospital in northeast Namibia; observed 53 women at admission, of which 19 progressed to deliver on the same day/hours of data collection; and interviewed 20 staff and 100 women who were discharged after delivery. The sampled hospital accounted for half of all deliveries in that region and had a high (27/1,000) neonatal mortality rate above the national (20/1,000) level. We systematically sampled every 22nd delivery until the 259 mother-baby pair was reached. Data were collected using the Every Mother Every Newborn assessment tool, entered, and analyzed using SPSS V.27. Descriptive statistics was used, and results were summarized into tables and graphs.

RESULTS

We reviewed 259 mother-baby pair records. Blood pressure, pulse, and temperature measurements were done in 98% of observed women and 90% of interviewed women at discharge. Above 80% of human and essential physical resources were adequately available. Gaps were identified within the WHO/UNICEF/UNFPA quality standard 1, a quality statement on routine postpartum and postnatal newborn care (1.1c), and also within standards 4, 5, and 6 on provider-client interactions (4.1), information sharing (5.3), and companionship (6.1). Only 45% of staff received in-service training/refresher on postnatal care and breastfeeding. Most mothers were not informed about breastfeeding (52%), postpartum care and hygiene (59%), and family planning (72%). On average, 49% of newborn postnatal care interventions (1.1c) were practiced. Few mothers (0-12%) could mention any newborn danger signs.

CONCLUSION

This is the first study in Namibia to assess WHO/UNICEF/UNFPA quality-of-care measures around childbirth. Measurement of provider-client interactions and information sharing revealed significant deficiencies in this aspect of care that negatively affected the client's experience of care. To achieve reductions in neonatal death, improved training in communication skills to educate clients is likely to have a major positive and relatively low-cost impact.

Lived Experiences of Mothers Following a Perinatal Loss

BACKGROUND

Perinatal mortality affects the health of mothers negatively. Sub-Saharan Africa accounts for 95% of the global statistics of perinatal mortalities. Despite this, studies that investigate the experiences of mothers following a perinatal loss are limited.

AIMS

The aim of this study was to explore the lived experiences of a perinatal loss among mothers in a rural setting in Kenya.

METHODS

An interpretative phenomenological study was conducted using eight purposively sampled mothers who had experienced a perinatal loss. Data was collected using semi structured audiotaped interviews, which were transcribed, and analyzed using thematic analysis.

RESULTS

Data analysis led to four main themes and five sub-themes from the theme of emotionally distressing. The main themes included (1) Searching for Answers, (2) Shattered Maternal Roles and Expectations, (3) Altered Relationships, and (4) Emotionally Distressing. Five sub-themes were also identified from the theme of emotionally distress: (1) shock, (2) sadness and pain, (3) confusion, (4) denial and disbelief, (5) anger.

DISCUSSION

Perinatal loss was a traumatizing experience for mothers in this study. Their social experiences influenced their recovery from the losses. Findings suggest the need for adequate midwife support and continuity in care for mothers affected by perinatal losses.

CONCLUSION

The results highlight critical issues in mothers' experience of perinatal losses. Specific, adequate and professional interventions are needed to help mothers cope with perinatal losses.

Verbal Autopsies for Out-of-Hospital Infant Deaths in Zambia

OBJECTIVES

In Zambia, a significant number of infants die in the community. It is hypothesized that delays in care contribute to many of these so-called "brought in dead" infants.

METHODS

We analyzed free-text narratives from verbal autopsies, in which families narrate the final series of events leading to each infant's death. Using the 3-delays model framework and working iteratively to achieve consensus, we coded each narrative using NVivo software to identify, characterize, and quantify the contribution of delays and other factors to the fatal outcome.

RESULTS

Verbal autopsies were collected from 230 families of brought in dead infants younger than 6 months of age. As many as 82.8% of infants had 1 or more delays in care. The most-common delay was in the family's decision to seek care (54.8%), even as severe symptoms were frequently described. Similarly, 27.8% of infants died en route to a health care facility. Delays in receiving adequate care, including infants dying while waiting in line at a clinic or during referral from a clinic to a hospital, occurred in 24.7% of infants. A third of infants had been previously evaluated by a clinician in the days before their death.

CONCLUSIONS

Delays in care were the rule rather than the exception in this population of Zambian infants. Accessing care requires families to navigate significant logistic barriers, and balance complex forces in deciding to seek care. Strategies to avoid such delays could save many infants lives.

Neonatal mortality burden and trends in UNHCR refugee camps, 2006-2017: a retrospective analysis

Background

More than 100 million people were forcibly displaced over the last decade, including millions of refugees displaced across international borders. Although refugee health and well-being has gained increasing attention from researchers in recent years, few studies have examined refugee birth outcomes or newborn health on a regional or global scale. This study uses routine health information system data to examine neonatal mortality burden and trends in refugee camps between 2006 and 2017.

Methods

Refugee population and mortality data were exported from the United Nations High Commissioner for Refugees (UNHCR) Health Information System (HIS) database. Tableau was used to export the data. Stata was used for data cleaning and statistical analysis. Neonatal mortality burdens and trends in refugee camps were analyzed and compared to national and subnational neonatal mortality rates captured by household surveys.

Findings

One hundred fifty refugee camps in 21 countries were included in this study, with an average population of 1,725,433 between 2006 and 2017. A total of 663,892 live births and 3382 neonatal deaths were captured during this period. Annual country-level refugee camp neonatal mortality rates (NMR) ranged from 12 to 56 neonatal deaths per 1000 live births. In most countries and years where national population-based surveys are available, refugee camp NMR as reported in the UNHCR HIS was lower than that of the immediate host community.

Conclusion

The UNHCR HIS provides insights into the neonatal mortality burden among refugees in camp settings and issues to consider in design and use of routine health information systems to monitor neonatal health in sub-national populations. Increased visibility of neonatal deaths and stillbirths among displaced populations can drive advocacy and inform decisions needed to strengthen health systems. Efforts to count every stillbirth and neonatal death are critical, as well as improvements to reporting systems and mechanisms for data review within broader efforts to improve the quality of neonatal care practices within and outside of health facilities.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10343-5.

Identifying, Prioritizing and Visually Mapping Barriers to Injury Care in Rwanda: A Multi-disciplinary Stakeholder Exercise

Background

Whilst injuries are a major cause of disability and death worldwide, a large proportion of people in low- and middle-income countries lack timely access to injury care. Barriers to accessing care from the point of injury to return to function have not been delineated.

Methods

A two-day workshop was held in Kigali, Rwanda in May 2019 with representation from health providers, academia, and government. A four delays model (delays to seeking, reaching, receiving, and remaining in care) was applied to injury care. Participants identified barriers at each delay and graded, through consensus, their relative importance. Following an iterative voting process, the four highest priority barriers were identified. Based on workshop findings and a scoping review, a map was created to visually represent injury care access as a complex health-system problem.

Results

Initially, 42 barriers were identified by the 34 participants. 19 barriers across all four delays were assigned high priority; highest-priority barriers were “Training and retention of specialist staff”, “Health education/awareness of injury severity”, “Geographical coverage of referral trauma centres”, and “Lack of protocol for bypass to referral centres”. The literature review identified evidence relating to 14 of 19 high-priority barriers. Most barriers were mapped to more than one of the four delays, visually represented in a complex health-system map.

Conclusion

Overcoming barriers to ensure access to quality injury care requires a multifaceted approach which considers the whole patient journey from injury to rehabilitation. Our results can guide researchers and policymakers planning future interventions.

The application of WHO ICD-PM: Feasibility for the classification of timing and causes of perinatal deaths in a busy birth centre in a low-income country

OBJECTIVE

To assess the feasibility of the application of International Classification of Diseases-10-to perinatal mortality (ICD-PM) in a busy low-income referral hospital and determine the timing and causes of perinatal deaths, and associated maternal conditions.

DESIGN

Prospective application of ICD-PM.

SETTING

Referral hospital of Mnazi Mmoja Hospital, Zanzibar, United Republic of Tanzania.

POPULATION

Stillbirths and neonatal deaths with a birth weight above 1000 grams born between October 16th 2017 to May 31st 2018.

METHODS

Clinical information and an adapted WHO ICD-PM interactive excel-based system were used to capture and classify the deaths according to timing, causes and associated maternal complications. Descriptive analysis was performed.

MAIN OUTCOME MEASURES

Timing and causes of perinatal mortality and their associated maternal conditions.

RESULTS

There were 661 perinatal deaths of which 248 (37.5%) were neonatal deaths and 413 (62.5%) stillbirths. Of the stillbirths, 128 (31%) occurred antepartum, 129 (31%) intrapartum and for 156 (38%) the timing was unknown. Half (n = 64/128) of the antepartum stillbirths were unexplained. Two-thirds (67%, n = 87/129) of intrapartum stillbirths followed acute intrapartum events, and 30% (39/129) were unexplained. Of the neonatal deaths, 40% died after complications of intrapartum events.

CONCLUSION

Problems of documentation, lack of perinatal death audits, capacity for investigations, and guidelines for the unambiguous objective assignment of timing and primary causes of death are major threats for accurate determination of timing and specific primary causes of perinatal deaths.

Temporal trends in coverage, quality and equity of maternal and child health services in Rwanda, 2000-2015

INTRODUCTION

Achieving the maternal and child health (MCH)-related Sustainable Development Goals (SDG) will require equitable and effective (quality-adjusted) coverage of recommended health interventions in low- and middle-income countries. We assessed effective coverage and equity of MCH services in Rwanda in the Millennium Development Goal (MDG) era to help guide policy decisions to improve equitable health gains in the SDG era and beyond.

METHODS

Using four rounds of Rwanda demographic and health surveys conducted from 2000 to 2015, we identified coverage and quality indicators for five MCH services: antenatal care (ANC), delivery care, and care for child diarrhoea, suspected pneumonia and fever. We calculated crude coverage and quality in each survey and used these to estimate effective coverage. The effective coverage should be regarded as an upper bound because there were few available quality measures. We also described equity in effective coverage of these five MCH services over time across the wealth index, area of residence and maternal education using equiplots.

RESULTS

A total of 48 910 women aged 15-49 years and 33 429 children under 5 years were included across the four survey rounds. In 2015, average effective coverage was 33.2% (range 19.9%-44.2%) across all five MCH services, 30.1% (range 19.9%-40.2%) for maternal health services (average of ANC and delivery) and 35.3% (range 27.3%-44.2%) for sick child care (diarrhoea, pneumonia and fever). This is in contrast to crude coverage which averaged 56.5% (range 43.6%-90.7%) across all five MCH services, 67.3% (range 43.9%-90.7%) for maternal health services and 49.2% (range 43.6%-53.9%) for sick child care. Between 2010 and 2015 effective coverage increased by 154.2% (range 127.3%-170.0%) for maternal health services and by 27.4% (range 4.2%-79.6%) for sick child care. These increases were associated with widening socioeconomic inequalities in effective coverage for maternal health services, and narrowing inequalities in effective coverage for sick child care.

CONCLUSION

While effective coverage of common MCH services generally improved in the MDG era, it still lagged substantially behind crude coverage for the same services due to low-quality care. Overall, effective coverage of MCH services remained suboptimal and inequitable. Policies should focus on improving effective coverage of these services and reducing inequities.

Implementation of the Perinatal Death Surveillance and Response guidelines: Lessons from annual health system strengthening interventions in the Rwenzori Sub-Region, Western Uganda

Aim

To determine the health facility-based perinatal mortality rate, its causes and avoidable factors using the perinatal mortality surveillance and response guidelines.

Design

This was an action study conducted in one of the districts in Western Uganda from 1 January-31 December 2019.

Methods

A total of 20 perinatal death cases were recruited consecutively. Data were collected using a Ministry of Health Perinatal Death Surveillance and Response (PDSR) questionnaire containing questions on pregnancy, delivery and immediate postnatal care. We used descriptive statistics to describe key data elements.

Results

We found a health facility-based perinatal mortality rate of 17.3 deaths per 1,000 live births. Birth asphyxia was the most common cause of perinatal deaths. Seven, three and ten mothers delayed seeking, reaching and receiving appropriate health care, respectively.

Journey of vulnerability: a mixed-methods study to understand intrapartum transfers in Tanzania and Zambia

BACKGROUND

Timely intrapartum referral between facilities is pivotal in reducing maternal/neonatal mortality and morbidity but is distressing to women, resource-intensive and likely to cause delays in care provision. We explored the complexities around referrals to gain understanding of the characteristics, experiences and outcomes of those being transferred.

METHODS

We used a mixed-method parallel convergent design, in Tanzania and Zambia. Quantitative data were collected from a consecutive, retrospective case-note review (target, n = 2000); intrapartum transfers and stillbirths were the outcomes of interest. A grounded theory approach was adopted for the qualitative element; data were collected from semi-structured interviews (n = 85) with women, partners and health providers. Observations (n = 33) of transfer were also conducted. Quantitative data were analysed descriptively, followed by binary logistic regression models, with multiple imputation for missing data. Qualitative data were analysed using Strauss's constant comparative approach.

RESULTS

Intrapartum transfer rates were 11% (111/998; 2 unknown) in Tanzania and 37% (373/996; 1 unknown) in Zambia. Main reasons for transfer were prolonged/obstructed labour and pre-eclampsia/eclampsia. Women most likely to be transferred were from Zambia (as opposed to Tanzania), HIV positive, attended antenatal clinic < 4 times and living > 30 min away from the referral hospital. Differences were observed between countries. Of those transferred, delays in care were common and an increase in poor outcomes was observed. Qualitative findings identified three categories: social threats to successful transfer, barriers to timely intrapartum care and reparative interventions which were linked to a core category: journey of vulnerability.

CONCLUSION

Although intrapartum transfers are inevitable, modifiable factors exist with the potential to improve the experience and outcomes for women. Effective transfers rely on adequate resources, effective transport infrastructures, social support and appropriate decision-making. However, women's (and families) vulnerability can be reduced by empathic communication, timely assessment and a positive birth outcome; this can improve women's resilience and influence positive decision-making, for the index and future pregnancy.

Time-critical conditions: assessment of burden and access to care using verbal autopsy in Agincourt, South Africa

Background

Time-critical conditions (TCC) are estimated to cause substantial mortality in low and middle-income countries. However, quantification of deaths and identification of contributing factors to those deaths are challenging in settings with poor health records.

Aim

To use verbal autopsy (VA) data from the Agincourt health and sociodemographic surveillance system in rural South Africa to quantify the burden of deaths from TCC and to evaluate the barriers in seeking, reaching and receiving quality care for TCC leading to death.

Methodology

Deaths from 1993 to 2015 were analysed to identify causality from TCC. Deaths due to TCC were categorised as communicable, non-communicable, maternal, neonatal or injury-related. Proportion of deaths from TCC by age, sex, condition type and temporal trends was described. Deaths due to TCC from 2012 to 2015 were further examined by circumstances of mortality (CoM) indicators embedded in VA. Healthcare access, at illness onset and during the final day of life, as well as place of death, was extracted from free text summaries. Summaries were also analysed qualitatively using a Three Delays framework to identify barriers to healthcare.

Results

Of 15 305 deaths, 5885 (38.45%) were due to TCC. Non-communicable diseases were the most prevalent cause of death from TCC (2961/5885 cases, 50.31%). CoM indicators highlighted delays in a quarter of deaths due to TCC, most frequently in seeking care. The most common pattern of healthcare access was to die outwith a facility, having sought no healthcare (409/1324 cases, 30.89%). Issues in receipt of quality care were identified by qualitative analysis.

Conclusion

TCCs are responsible for a substantial burden of deaths in this rural South African population. Delays in seeking and receiving quality care were more prominent than those in reaching care, and thus further research and solution development should focus on healthcare-seeking behaviour and quality care provision.

Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa

Background

Every year, an estimated 2.6 million stillbirths occur worldwide, with up to 98% occurring in low- and middle-income countries (LMIC). There is a paucity of primary data on cause of stillbirth from LMIC, and particularly from sub-Saharan Africa to inform effective interventions. This study aimed to identify the cause of stillbirths in low- and middle-income settings and compare methods of assessment.

Methods

This was a prospective, observational study in 12 hospitals in Kenya, Malawi, Sierra Leone and Zimbabwe. Stillbirths (28 weeks or more) were reviewed to assign the cause of death by healthcare providers, an expert panel and by using computer-based algorithms. Agreement between the three methods was compared using Kappa (κ) analysis. Cause of stillbirth and level of agreement between the methods used to assign cause of death.

Results

One thousand five hundred sixty-three stillbirths were studied. The stillbirth rate (per 1000 births) was 20.3 in Malawi, 34.7 in Zimbabwe, 38.8 in Kenya and 118.1 in Sierra Leone. Half (50.7%) of all stillbirths occurred during the intrapartum period.

Cause of death (range) overall varied by method of assessment and included: asphyxia (18.5–37.4%), placental disorders (8.4–15.1%), maternal hypertensive disorders (5.1–13.6%), infections (4.3–9.0%), cord problems (3.3–6.5%), and ruptured uterus due to obstructed labour (2.6–6.1%). Cause of stillbirth was unknown in 17.9–26.0% of cases.

Moderate agreement was observed for cause of stillbirth as assigned by the expert panel and by hospital-based healthcare providers who conducted perinatal death review (κ = 0.69; p < 0.0005). There was only minimal agreement between expert panel review or healthcare provider review and computer-based algorithms (κ = 0.34; 0.31 respectively p < 0.0005).

Conclusions

For the majority of stillbirths, an underlying likely cause of death could be determined despite limited diagnostic capacity. In these settings, more diagnostic information is, however, needed to establish a more specific cause of death for the majority of stillbirths. Existing computer-based algorithms used to assign cause of death require revision.

Implementing the liberalized abortion law in Kigali, Rwanda: Ambiguities of rights and responsibilities among health care providers

OBJECTIVE

Rwanda amended its abortions law in 2012 to allow for induced abortion under certain circumstances. We explore how Rwandan health care providers (HCP) understand the law and implement it in their clinical practice.

DESIGN

Fifty-two HCPs involved in post-abortion care in Kigali were interviewed by qualitative individual in-depth interviews (n =32) and in focus group discussions (n =5) in year 2013, 2014, and 2016. All data were analyzed using thematic analysis.

FINDINGS

HCPs express ambiguities on their rights and responsibilities when providing abortion care. A prominent finding was the uncertainties about the legal status of abortion, indicating that HCPs may rely on outdated regulations. A reluctance to be identified as an abortion provider was noticeable due to fear of occupational stigma. The dilemma of liability and litigation was present, and particularly care providers' legal responsibility on whether to report a woman who discloses an illegal abortion.

CONCLUSION

The lack of professional consensus is creating barriers to the realization of safe abortion care within the legal framework, and challenge patients right for confidentiality. This bring consequences on girl's and women's reproductive health in the setting.

IMPLICATIONS FOR PRACTICE

To implement the amended abortion law and to provide equitable maternal care, the clinical and ethical guidelines for HCPs need to be revisited.

External injuries, trauma and avoidable deaths in Agincourt, South Africa: a retrospective observational and qualitative study

OBJECTIVE

Injury burden is highest in low-income and middle-income countries. To reduce avoidable deaths, it is necessary to identify health system deficiencies preventing timely, quality care. We developed criteria to use verbal autopsy (VA) data to identify avoidable deaths and associated health system deficiencies.

SETTING

Agincourt, a rural Bushbuckridge municipality, Mpumalanga Province, South Africa.

PARTICIPANTS

Agincourt Health and Socio-Demographic Surveillance System and healthcare providers (HCPs) from local hospitals.

METHODS

A literature review to explore definitions of avoidable deaths after trauma and barriers to access to care using the 'three delays framework' (seeking, reaching and receiving care) was performed. Based on these definitions, this study developed criteria, applicable for use with VA data, for identifying avoidable death and which of the three delays contributed to avoidable deaths. These criteria were then applied retrospectively to the VA-defined category external injury deaths (EIDs-a subset of which are trauma deaths) from 2012 to 2015. The findings were validated by external expert review. Key informant interviews (KIIs) with HCPs were performed to further explore delays to care.

RESULTS

Using VA data, avoidable death was defined with a focus on survivability, using level of consciousness at the scene and ability to seek care as indicators. Of 260 EIDs (189 trauma deaths), there were 104 (40%) avoidable EIDs and 78 (30%) avoidable trauma deaths (41% of trauma deaths). Delay in receiving care was the largest contributor to avoidable EIDs (61%) and trauma deaths (59%), followed by delay in seeking care (24% and 23%) and in reaching care (15% and 18%). KIIs revealed context-specific factors contributing to the third delay, including difficult referral systems.

CONCLUSIONS

A substantial proportion of EIDs and trauma deaths were avoidable, mainly occurring due to facility-based delays in care. Interventions, including strengthening referral networks, may substantially reduce trauma deaths.

Application of the ICD-PM classification system to stillbirth in four sub-Saharan African countries

OBJECTIVE

To identify the causes and categories of stillbirth using the Application of ICD-10 to Deaths during the Perinatal Period (ICD-PM).

METHODS

Prospective, observational study in 12 hospitals across Kenya, Malawi, Sierra Leone and Zimbabwe. Healthcare providers (HCPs) assigned cause of stillbirth following perinatal death audit. Cause of death was classified using the ICD-PM classification system.

FINDINGS

1267 stillbirths met the inclusion criteria. The stillbirth rate (per 1000 births) was 20.3 in Malawi (95% CI: 15.0-42.8), 34.7 in Zimbabwe (95% CI: 31.8-39.2), 38.8 in Kenya (95% CI: 33.9-43.3) and 118.1 in Sierra Leone (95% CI: 115.0-121.2). Of the included cases, 532 (42.0%) were antepartum deaths, 643 (50.7%) were intrapartum deaths and 92 cases (7.3%) could not be categorised by time of death. Overall, only 16% of stillbirths could be classified by fetal cause of death. Infection (A2 category) was the most commonly identified cause for antepartum stillbirths (8.6%). Acute intrapartum events (I3) accounted for the largest proportion of intrapartum deaths (31.3%). In contrast, for 76% of stillbirths, an associated maternal condition could be identified. The M1 category (complications of placenta, cord and membranes) was the most common category assigned for antepartum deaths (31.1%), while complications of labour and delivery (M3) accounted for the highest proportion of intrapartum deaths (38.4%). Overall, the proportion of cases for which no fetal or maternal cause could be identified was 32.6% for antepartum deaths, 8.1% for intrapartum deaths and 17.4% for cases with unknown time of death.

CONCLUSION

Clinical care and documentation of this care require strengthening. Diagnostic protocols and guidelines should be introduced more widely to obtain better data on cause of death, especially antepartum stillbirths. Revision of ICD-PM should consider an additional category to help accommodate stillbirths with unknown time of death.

Identifying the barriers to gastric cancer care at safety-net hospitals: A novel comparison of a safety-net hospital to a neighboring quaternary referral academic center in the same healthcare system

BACKGROUND

The three-delays model describes delays in seeking, reaching, and receiving care for vulnerable populations needing treatment. The dominant delay for patients with gastric adenocarcinoma (GAC) is unknown. We aimed to define patients with GAC who reached and received care at our regional safety-net hospital (Grady Memorial Hospital [GMH]) and our neighboring quaternary referral hospital (Emory University Hospital [EUH]).

METHODS

Clinicopathologic data from National Cancer Database (NCDB) participating academic centers were compared with GMH from 2004 to 2014. Outcomes of patients undergoing surgery at GMH were compared to those at EUH.

RESULTS

At presentation, compared to NCDB centers (n = 69 662), GMH patients (n = 154) were more often black (85.1 vs 17.2%; P < 0.001), uninsured (30.5 vs 4.7%; P < 0.001), have stage IV disease (43.5 vs 30.1%; P = 0.017), and received no treatment (40.3 vs 18.4%; P < 0.001). When only comparing patients who underwent curative-intent resection at GMH (n = 23) to EUH (n = 137), median overall survival was similar between both groups (GMH: median not reached; EUH: 59.8 mos; P = 0.785).

CONCLUSION

Although vulnerable patients with GAC within a safety-net hospital present with later stages of the disease, those who received surgery have acceptable outcomes. Thus, efforts should be made to overcome barriers in seeking care.