Birthweight: EN-BIRTH multi-country validation study.

BACKGROUND: Accurate birthweight is critical to inform clinical care at the individual level and tracking progress towards national/global targets at the population level. Low birthweight (LBW) < 2500 g affects over 20.5 million newborns annually. However, data are lacking and may be affected by heaping. This paper evaluates birthweight measurement within the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study. METHODS: The EN-BIRTH study took place in five hospitals in Bangladesh, Nepal and Tanzania (2017-2018). Clinical observers collected time-stamped data (gold standard) for weighing at birth. We compared accuracy for two data sources: routine hospital registers and women's report at exit interview survey. We calculated absolute differences and individual-level validation metrics. We analysed birthweight coverage and quality gaps including timing and heaping. Qualitative data explored barriers and enablers for routine register data recording. RESULTS: Among 23,471 observed births, 98.8% were weighed. Exit interview survey-reported weighing coverage was 94.3% (90.2-97.3%), sensitivity 95.0% (91.3-97.8%). Register-reported coverage was 96.6% (93.2-98.9%), sensitivity 97.1% (94.3-99%). Routine registers were complete (> 98% for four hospitals) and legible > 99.9%. Weighing of stillbirths varied by hospital, ranging from 12.5-89.0%. Observed LBW rate was 15.6%; survey-reported rate 14.3% (8.9-20.9%), sensitivity 82.9% (75.1-89.4%), specificity 96.1% (93.5-98.5%); register-recorded rate 14.9%, sensitivity 90.8% (85.9-94.8%), specificity 98.5% (98-99.0%). In surveys, "don't know" responses for birthweight measured were 4.7%, and 2.9% for knowing the actual weight. 95.9% of observed babies were weighed within 1 h of birth, only 14.7% with a digital scale. Weight heaping indices were around two-fold lower using digital scales compared to analogue. Observed heaping was almost 5% higher for births during the night than day. Survey-report further increased observed birthweight heaping, especially for LBW babies. Enablers to register birthweight measurement in qualitative interviews included digital scale availability and adequate staffing. CONCLUSIONS: Hospital registers captured birthweight and LBW prevalence more accurately than women's survey report. Even in large hospitals, digital scales were not always available and stillborn babies not always weighed. Birthweight data are being captured in hospitals and investment is required to further improve data quality, researching of data flow in routine systems and use of data at every level.

Antibiotic use for inpatient newborn care with suspected infection: EN-BIRTH multi-country validation study.

BACKGROUND: An estimated 30 million neonates require inpatient care annually, many with life-threatening infections. Appropriate antibiotic management is crucial, yet there is no routine measurement of coverage. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study aimed to validate maternal and newborn indicators to inform measurement of coverage and quality of care. This paper reports validation of reported antibiotic coverage by exit survey of mothers for hospitalized newborns with clinically-defined infections, including sepsis, meningitis, and pneumonia. METHODS: EN-BIRTH study was conducted in five hospitals in Bangladesh, Nepal, and Tanzania (July 2017-July 2018). Neonates were included based on case definitions to focus on term/near-term, clinically-defined infection syndromes (sepsis, meningitis, and pneumonia), excluding major congenital abnormalities. Clinical management was abstracted from hospital inpatient case notes (verification) which was considered as the gold standard against which to validate accuracy of women's report. Exit surveys were conducted using questions similar to The Demographic and Health Surveys (DHS) approach for coverage of childhood pneumonia treatment. We compared survey-report to case note verified, pooled across the five sites using random effects meta-analysis. RESULTS: A total of 1015 inpatient neonates admitted in the five hospitals met inclusion criteria with clinically-defined infection syndromes. According to case note verification, 96.7% received an injectable antibiotic, although only 14.5% of them received the recommended course of at least 7 days. Among women surveyed (n = 910), 98.8% (95% CI: 97.8-99.5%) correctly reported their baby was admitted to a neonatal ward. Only 47.1% (30.1-64.5%) reported their baby's diagnosis in terms of sepsis, meningitis, or pneumonia. Around three-quarters of women reported their baby received an injection whilst in hospital, but 12.3% reported the correct antibiotic name. Only 10.6% of the babies had a blood culture and less than 1% had a lumbar puncture. CONCLUSIONS: Women's report during exit survey consistently underestimated the denominator (reporting the baby had an infection), and even more so the numerator (reporting known injectable antibiotics). Admission to the neonatal ward was accurately reported and may have potential as a contact point indicator for use in household surveys, similar to institutional births. Strengthening capacity and use of laboratory diagnostics including blood culture are essential to promote appropriate use of antibiotics. To track quality of neonatal infection management, we recommend using inpatient records to measure specifics, requiring more research on standardised inpatient records.

Barriers and enablers to routine register data collection for newborns and mothers: EN-BIRTH multi-country validation study.

BACKGROUND: Policymakers need regular high-quality coverage data on care around the time of birth to accelerate progress for ending preventable maternal and newborn deaths and stillbirths. With increasing facility births, routine Health Management Information System (HMIS) data have potential to track coverage. Identifying barriers and enablers faced by frontline health workers recording HMIS source data in registers is important to improve data for use. METHODS: The EN-BIRTH study was a mixed-methods observational study in five hospitals in Bangladesh, Nepal and Tanzania to assess measurement validity for selected Every Newborn coverage indicators. We described data elements required in labour ward registers to track these indicators. To evaluate barriers and enablers for correct recording of data in registers, we designed three interview tools: a) semi-structured in-depth interview (IDI) guide b) semi-structured focus group discussion (FGD) guide, and c) checklist assessing care-to-documentation. We interviewed two groups of respondents (January 2018-March 2019): hospital nurse-midwives and doctors who fill ward registers after birth (n = 40 IDI and n = 5 FGD); and data collectors (n = 65). Qualitative data were analysed thematically by categorising pre-identified codes. Common emerging themes of barriers or enablers across all five hospitals were identified relating to three conceptual framework categories. RESULTS: Similar themes emerged as both barriers and enablers. First, register design was recognised as crucial, yet perceived as complex, and not always standardised for necessary data elements. Second, register filling was performed by over-stretched nurse-midwives with variable training, limited supervision, and availability of logistical resources. Documentation complexity across parallel documents was time-consuming and delayed because of low staff numbers. Complete data were valued more than correct data. Third, use of register data included clinical handover and monthly reporting, but little feedback was given from data users. CONCLUSION: Health workers invest major time recording register data for maternal and newborn core health indicators. Improving data quality requires standardised register designs streamlined to capture only necessary data elements. Consistent implementation processes are also needed. Two-way feedback between HMIS levels is critical to improve performance and accurately track progress towards agreed health goals.

Labour and delivery ward register data availability, quality, and utility - Every Newborn - birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries.

BACKGROUND: Countries with the highest burden of maternal and newborn deaths and stillbirths often have little information on these deaths. Since over 81% of births worldwide now occur in facilities, using routine facility data could reduce this data gap. We assessed the availability, quality, and utility of routine labour and delivery ward register data in five hospitals in Bangladesh, Nepal, and Tanzania. This paper forms the baseline register assessment for the Every Newborn-Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study. METHODS: We extracted 21 data elements from routine hospital labour ward registers, useful to calculate selected maternal and newborn health (MNH) indicators. The study sites were five public hospitals during a one-year period (2016-17). We measured 1) availability: completeness of data elements by register design, 2) data quality: implausibility, internal consistency, and heaping of birthweight and explored 3) utility by calculating selected MNH indicators using the available data. RESULTS: Data were extracted for 20,075 births. Register design was different between the five hospitals with 10-17 of the 21 selected MNH data elements available. More data were available for health outcomes than interventions. Nearly all available data elements were > 95% complete in four of the five hospitals and implausible values were rare. Data elements captured in specific columns were 85.2% highly complete compared to 25.0% captured in non-specific columns. Birthweight data were less complete for stillbirths than live births at two hospitals, and significant heaping was found in all sites, especially at 2500g and 3000g. All five hospitals recorded count data required to calculate impact indicators including; stillbirth rate, low birthweight rate, Caesarean section rate, and mortality rates. CONCLUSIONS: Data needed to calculate MNH indicators are mostly available and highly complete in EN-BIRTH study hospital routine labour ward registers in Bangladesh, Nepal and Tanzania. Register designs need to include interventions for coverage measurement. There is potential to improve data quality if Health Management Information Systems utilization with feedback loops can be strengthened. Routine health facility data could contribute to reduce the coverage and impact data gap around the time of birth.

Risk factors for antepartum stillbirth: a case-control study in Nepal.

BACKGROUND: Globally, at least 2.65 million stillbirths occur every year, of which more than half are during the antepartum period. The proportion of intrapartum stillbirths has substantially declined with improved obstetric care; however, the number of antepartum stillbirths has not decreased as greatly. Attempts to lower this number may be hampered by an incomplete understanding of the risk factors leading to the majority of antepartum stillbirths. We conducted this study in a tertiary hospital in Nepal to identify the specific risk factors that are associated with antepartum stillbirth in this setting. METHODS: This case-control study was conducted between July 2012 and September 2013. All women who had antepartum stillbirths during this period were included as cases, while 20 % of all women delivering at the hospital were randomly selected and included as referents. Information on potential risk factors was taken from medical records and interviews with the women. Logistic regression analysis was completed to determine the association between those risk factors and antepartum stillbirth. RESULTS: During the study period, 4567 women who delivered at the hospital were enrolled as referents, of which 62 had antepartum stillbirths and were re-categorized into the case population. In total, there were 307 antepartum stillbirths. An association was found between the following risk factors and antepartum stillbirth: increasing maternal age (aOR 1.0, 95 % CI 1.0-1.1), less than five years of maternal education (aOR 2.4, 95 % CI 1.7-3.2), increasing parity (aOR 1.2, 95 % CI 1.0-1.3), previous stillbirth (aOR 2.6, 95 % CI 1.6-4.4), no antenatal care attendance (aOR 4.2, 95 % CI 3.2-5.4), belonging to the poorest family (aOR 1.3, 95 % CI 1.0-1.8), antepartum hemorrhage (aOR 3.7, 95 % CI 2.4-5.7), maternal hypertensive disorder during pregnancy (aOR 2.1, 95 % CI 1.5-3.1), and small weight-for-gestational age babies (aOR 1.5, 95 % CI 1.2-2.0). CONCLUSION: Lack of antenatal care attendance, which had the strongest association with antepartum stillbirth, is a potentially modifiable risk factor, in that increasing the access to and availability of these services can be targeted. Antenatal care attendance provides an opportunity to screen for other potential risk factors for antepartum stillbirth, as well as to provide counseling to women, and thus, helps to ensure a successful pregnancy outcome. CLINICAL TRIAL REGISTRATION: ISRCTN97846009 (url. www.isrctn.com/ISRCTN97846009 ).

Quality Indicators to Evaluate Essential Newborn Care in Low- and Middle-Income Countries.

BACKGROUND: Strategies to improve neonatal outcomes rely on accurate collection and analyses of quality indicators. Most low- and middle-income countries (LMICs) fail to monitor facility-level indicators, partly because recommended and consistently defined indicators for essential newborn care (ENC) do not exist. This gap prompted our development of an annotated directory of quality indicators. METHODS: We used a mixed method study design. In phase 1, we selected potential indicators by reviewing existing literature. An overall rating was assigned based on subscores for scientific evidence, importance, and usability. We used a modified Delphi technique for consensus-based approval from American Academy of Pediatrics Helping Babies Survive Planning Group members (phase 2) and secondarily surveyed international partners with expertise in ENC, LMIC clinical environments, and indicator development (phase 3). We generated the final directory with guidelines for site-specific indicator selection (phase 4). RESULTS: We identified 51 indicators during phase 1. Following Delphi sessions and secondary review, we added 5 indicators and rejected 7. We categorized the 49 indicators meeting inclusion criteria into 3 domains: 17 outcome, 21 process, and 11 educational. Among those, we recommend 30 for use, meaning indicators should be selected preferentially when appropriate; we recommend 9 for selective use primarily because of data collection challenges and 10 for use with reservation because of scientific evidence or usability limitations. CONCLUSIONS: We developed this open-access indicator directory with input from ENC experts to enable appraisal of care provision, track progress toward improvement goals, and provide a standard for benchmarking care delivery among LMICs.

Factors associated with poor adherence to intrapartum fetal heart monitoring in relationship to intrapartum related death: A prospective cohort study.

BACKGROUND: Poor quality of intrapartum care remains a global health challenge for reducing stillbirth and early neonatal mortality. Despite fetal heart rate monitoring (FHRM) being key to identify fetus at risk during labor, sub-optimal care prevails in low-income settings. The study aims to assess the predictors of suboptimal fetal heart rate monitoring and assess the association of sub-optimal FHRM and intrapartum related deaths. METHOD: A prospective cohort study was conducted in 12 hospitals between April 2017 to October 2018. Pregnant women with fetal heart sound present during admission were included. Inferential statistics were used to assess proportion of sub-optimal FHRM. Multi-level logistic regression was used to detect association between sub-optimal FHRM and intrapartum related death. RESULT: The study cohort included 83,709 deliveries, in which in more than half of women received suboptimal FHRM (56%). The sub-optimal FHRM was higher among women with obstetric complication than those with no complication (68.8% vs 55.5%, p-value<0.001). The sub-optimal FHRM was higher if partograph was not used than for whom partograph was completely filled (70.8% vs 15.9%, p-value<0.001). The sub-optimal FHRM was higher if the women had no companion during labor than those who had companion during labor (57.5% vs 49.6%, p-value<0.001). After adjusting for background characteristics and intra-partum factors, the odds of intrapartum related death was higher if FHRM was done sub-optimally in reference to women who had FHRM monitored as per protocol (aOR, 1.47; 95% CI; 1.13, 1.92). CONCLUSION: Adherence to FHRM as per clinical standards was inadequate in these hospitals of Nepal. Furthermore, there was an increased odds of intra-partum death if FHRM had not been carried out as per clinical standards. FHRM provided as per protocol is key to identify fetuses at risk, and efforts are needed to improve the adherence of quality of care to prevent death.

Implementing quality improvement intervention to improve intrapartum fetal heart rate monitoring during COVID-19 pandemic- observational study.

INTRODUCTION: Adherence to intrapartum fetal heart rate monitoring (FHRM) for early decision making in high-risk pregnancies remains a global health challenge. COVID-19 has led to disruption of routine intrapartum care in all income settings. This study aims to evaluate the implementation of quality improvement (QI) intervention to improve intrapartum FHRM and birth outcome before and during pandemic. METHOD AND MATERIALS: We conducted an observational study among 10,715 pregnant women in a hospital of Nepal, over 25 months. The hospital implemented QI intervention i.e facilitated plan-do-study-act (PDSA) meetings before and during pandemic. We assessed the change in intrapartum FHRM, timely action in high-risk deliveries and fetal outcomes before and during pandemic. RESULTS: The number of facilitated PDSA meetings increased from an average of one PDSA meeting every 2 months before pandemic to an average of one PDSA meeting per month during the pandemic. Monitoring and documentation of intrapartum FHRM at an interval of less than 30 minutes increased from 47% during pre-pandemic to 73.3% during the pandemic (p<0.0001). The median time interval from admission to abnormal heart rate detection decreased from 160 minutes to 70 minutes during the pandemic (p = 0.020). The median time interval from abnormal FHR detection to the time of delivery increased from 122 minutes to 177 minutes during the pandemic (p = 0.019). There was a rise in abnormal FHR detection during the time of admission (1.8% vs 4.7%; p<0.001) and NICU admissions (2.9% vs 6.5%; p<0.0001) during the pandemic. CONCLUSION: Despite implementation of QI intervention during the pandemic, the constrains in human resource to manage high risk women has led to poorer neonatal outcome. Increasing human resources to manage high risk women will be key to timely action among high-risk women and prevent stillbirth.

Working Memory During Late Pregnancy: Associations With Antepartum and Postpartum Depression Symptoms.

Background: Few studies, with conflicting results, report on the association between memory performance and depressive symptoms during the perinatal period. In this study, we aimed to evaluate whether memory performance during late pregnancy is associated with antepartum (APD) and postpartum depression (PPD) symptoms. Method: We conducted a prospective follow-up of 283 pregnant women, nested within a large cohort of women enrolled in the BASIC study in Uppsala University hospital between 2009 and 2019. The Wechsler Digit Span Task (forward-DSF, backward-DSB and total score-DST) was performed to evaluate short-term memory/attention (DSF) and working memory (DSB) around the 38th gestational week; the Edinburgh Postnatal Depression Scale (EPDS), evaluating depressive symptoms, was filled out at 17, 32, 38 gestational weeks, as well as at 6 weeks postpartum. Unadjusted and multivariate logistic regression was used to assess the association between performance on the Digit Span Task and outcome, namely depressive symptoms (using a cut-off of 12 points on the EPDS) at 38 gestational weeks, as well as at 6 weeks postpartum. Results: APD symptoms were not significantly associated with DSF (p = 0.769) or DSB (p = 0.360). APD symptoms were significantly associated with PPD symptoms (p < 0.001). Unadjusted regression modeling showed that DSF in pregnancy was a significant predictor of PPD symptoms (OR 1.15; 95% CI, 1.00, 1.33, p = 0.049), and remained a significant predictor when adjusted for confounders (education and feeling rested at assessment; OR 1.21, 95% CI 1.03, 1.42, p = 0.022). DSF was a predictor of PPD symptoms only for women without a pre-pregnancy history of depression (OR 1.32; 95% CI 1.04, 1.67, p = 0.024) and also those without APD (OR 1.20, 95% CI 1.01, 1.43, p = 0.040). Conclusion: There was no significant association between working and short-term memory performance and APD symptoms. Among all women, but especially non-depressed earlier in life and/or at antepartum, those scoring high on the forward memory test, i.e., short-term memory, had a higher risk for PPD. Future studies are required to further explore the pathophysiology behind and the predictive value of these associations.

Effect of a scaled-up quality improvement intervention on health workers' competence on neonatal resuscitation in simulated settings in public hospitals: A pre-post study in Nepal.

BACKGROUND: Helping Babies Breathe (HBB) training improves bag and mask ventilation and reduces neonatal mortality and fresh stillbirths. Quality improvement (QI) interventions can improve retention of neonatal resuscitation knowledge and skills. This study aimed to evaluate the effect of a scaled-up QI intervention package on uptake and retention of neonatal resuscitation knowledge and skills in simulated settings. METHODS: This was a pre-post study in 12 public hospitals of Nepal. Knowledge and skills of trainees on neonatal resuscitation were evaluated against the set standard before and after the introduction of QI interventions. RESULTS: Altogether 380 participants were included for knowledge evaluation and 286 for skill evaluation. The overall knowledge test score increased from 14.12 (pre-basic) to 15.91 (post-basic) during basic training (p < 0.001). The knowledge score decreased over time; 15.91 (post-basic) vs. 15.33 (pre-refresher) (p < 0.001). Overall skill score during basic training (16.98 ± 1.79) deteriorated over time to 16.44 ± 1.99 during refresher training (p < 0.001). The proportion of trainees passing the knowledge test increased to 91.1% (post-basic) from 67.9% (pre-basic) which decreased to 86.6% during refresher training after six months. The knowledge and skill scores were maintained above the set standard (>14.0) over time at all hospitals during refresher training. CONCLUSION: HBB training together with QI tools improves health workers' knowledge and skills on neonatal resuscitation, irrespective of size and type of hospitals. The knowledge and skills deteriorate over time but do not fall below the standard. The HBB training together with QI interventions can be scaled up in other public hospitals. TRIAL REGISTRATION: This study was part of the larger Nepal Perinatal Quality Improvement Project (NePeriQIP) with International Standard Randomised Controlled Trial Number, ISRCTN30829654, registered 17th of May, 2017.

Mistreatment of newborns after childbirth in health facilities in Nepal: Results from a prospective cohort observational study.

BACKGROUND: Patient experience of care reflects the quality of health care in health facilities. While there are multiple studies documenting abuse and disrespect to women during childbirth, there is limited evidence on the mistreatment of newborns immediately after childbirth. This paper addresses the evidence gap by assessing the prevalence and risk factors associated with mistreatment of newborns after childbirth in Nepal, based on a large-scale observational study. METHODS AND FINDINGS: This is a prospective observational cohort study conducted over a period of 18 months in 4 public referral hospitals in Nepal. All newborns born at the facilities during the study period, who breathed spontaneously and were observed, were included. A set of indicators to measure mistreatment for newborns was analysed. Principal component analysis was used to construct a single newborn mistreatment index. Uni-variate, multi-variate, and multi-level analysis was done to measure the association between the newborn mistreatment index and demographic, obstetric, and neonatal characteristics. A total of 31,804 births of newborns who spontaneously breathed were included. Among the included newborns, 63.0% (95% CI, 62.5-63.5) received medical interventions without taking consent from the parents, 25.0% (95% CI, 24.5-25.5) were not treated with kindness and respect (roughly handled), and 21.4% (95% CI, 20.9-21.8) of them were suctioned with no medical need. Among the newborns, 71.7% (95% CI, 71.2-72.3) had the cord clamped within 1 minute and 77.6% (95% CI, 77.1-78.1) were not breast fed within 1 hour of birth. Only 3.5% (95% CI, 3.2-3.8) were kept in skin to skin contact in the delivery room after birth. The mistreatment index showed maximum variation in mistreatment among those infants born to women of relatively disadvantaged ethnic groups and infants born to women with 2 or previous births. After adjusting for hospital heterogeneity, infants born to women aged 30-34 years (ß, -0.041; p value, 0.01) and infants born to women aged 35 years or more (ß, -0.064; p value, 0.029) were less mistreated in reference to infants born to women aged 18 years or less. Infants born to women from the relatively disadvantaged (chhetri) ethnic groups (ß, 0.077; p value, 0.000) were more likely to be mistreated than the infants born to relatively advantaged (brahmin) ethnic groups. Female newborns (ß, 0.016; p value, 0.015) were more likely to be mistreated than male newborns. CONCLUSIONS: The mistreatment of spontaneously breathing newborns is high in public hospitals in Nepal. Mistreatment varied by hospital, maternal ethnicity, maternal age, and sex of the newborn. Reducing mistreatment of newborns will require interventions at policy, health system, and individual level. Further, implementation studies will be required to identify effective interventions to reduce inequity and mistreatment of newborns at birth.

Equity improvements in maternal and newborn care indicators: results from the Bardiya district of Nepal.

Community-based maternal and newborn care interventions have been shown to improve neonatal survival and other key health indicators. It is important to evaluate whether the improvement in health indicators is accompanied by a parallel increase in the equitable distribution of the intervention activities, and the uptake of healthy newborn care practices. We present an analysis of equity improvements after the implementation of a Community Based Newborn Care Package (CB-NCP) in the Bardiya district of Nepal. The package was implemented alongside other programs that were already in place within the district. We present changes in concentration indices (CIndices) as measures of changes in equity, as well as percentage changes in coverage, between baseline and endline. The CIndices were derived from wealth scores that were based on household assets, and they were compared usingt-tests. We observed statistically significant improvements in equity for facility delivery [CIndex: -0.15 (-0.24, -0.06)], knowledge of at least three newborn danger signs [-0.026(-0.06, -0.003)], breastfeeding within 1 h [-0.05(-0.11, -0.0001)], at least one antenatal visit with a skilled provider [-0.25(-0.04, -0.01)], at least four antenatal visits from any provider [-0.15(-0.19, -0.10)] and birth preparedness [-0.09(-0.12, -0.06)]. The largest increases in practices were observed for facility delivery (50%), immediate drying (34%) and delayed bathing (29%). These results and those of similar studies are evidence that community-based interventions delivered by female community health volunteers can be instrumental in improving equity in levels of facility delivery and other newborn care behaviours. We recommend that equity be evaluated in other similar settings within Nepal in order to determine if similar results are observed.

Newborn survival in Nepal: a decade of change and future implications.

Nepal is on target to meet the Millennium Development Goals for maternal and child health despite high levels of poverty, poor infrastructure, difficult terrain and recent conflict. Each year, nearly 35,000 Nepali children die before their fifth birthday, with almost two-thirds of these deaths occurring in the first month of life, the neonatal period. As part of a multi-country analysis, we examined changes for newborn survival between 2000 and 2010 in terms of mortality, coverage and health system indicators as well as national and donor funding. Over the decade, Nepal's neonatal mortality rate reduced by 3.6% per year, which is faster than the regional average (2.0%) but slower than national annual progress for mortality of children aged 1-59 months (7.7%) and maternal mortality (7.5%). A dramatic reduction in the total fertility rate, improvements in female education and increasing change in skilled birth attendance, as well as increased coverage of community-based child health interventions, are likely to have contributed to these mortality declines. Political commitment and support for newborn survival has been generated through strategic use of global and national data and effective partnerships using primarily a selective newborn-focused approach for advocacy and planning. Nepal was the first low-income country to have a national newborn strategy, influencing similar strategies in other countries. The Community-Based Newborn Care Package is delivered through the nationally available Female Community Health Volunteers and was piloted in 10 of 75 districts, with plans to increase to 35 districts in mid-2013. Innovation and scale up, especially of community-based packages, and public health interventions and commodities appear to move relatively rapidly in Nepal compared with some other countries. Much remains to be done to achieve high rates of effective coverage of community care, and especially to improve the quality of facility-based care given the rapid shift to births in facilities.