Cost of treating sick young infants (0-59 days) with Possible Serious Bacterial Infection in resource-constrained outpatient primary care facilities: An insight from implementation research in two districts of Haryana and Uttar Pradesh (India).

Background: Information on the average and incremental costs of implementing alternative strategies for treating young infants 0-59 days old in primary health facilities with signs of possible serious bacterial infection (PSBI) when a referral is not feasible is limited but valuable for policymakers. Methods: Direct activity costs were calculated for outpatient treatment of PSBI and pneumonia in two districts of India: Palwal, Haryana and Lucknow, Uttar Pradesh. These included costs of staff time and consumables for initial assessment, classification, and referrals; recommended treatment of fast breathing (oral amoxicillin for seven days) and PSBI (injection gentamicin and oral amoxicillin for seven days); and daily assessments. Indirect operational costs included staff training; staff time cost for general management, supervision, and coordination; referral transport; and communication. Results: The average cost per young infant treated for recommended and acceptable treatment for PSBI was 16 US dollars (US$) (95% CI = US$15.4-16.3) in 2018-19 and US$18.5 in 2022 (adjusted for inflation) when all direct and indirect operational costs were considered. The average cost of recommended treatment for pneumonia was US$10.1 (95% CI = US$9.7-10.6) or US$11.7 in 2022, per treated young infant. The incremental cost 2018-2019 for supplies, medicines, and operations (excluding staff time costs) per infant treated for PSBI was US$6.1 and US$4.3 and for pneumonia was US$3.5 and US$2.2 in Palwal and Lucknow, respectively. Operation and administrative costs were 25% in Palwal and 12% in Lucknow of the total PSBI treatment costs. The average cost per live birth for treating PSBI in each population was US$5 in Palwal and US$3 in Lucknow. Higher operation costs for social mobilisation activities in Palwal led to the empowerment of families and timely care-seeking. Conclusions: Costs of treatment of PSBI with the recommended regimen in an outpatient setting, when a referral is not feasible, are under US$20 per treated child and must be budgeted to reduce deaths from neonatal sepsis. The investment must be made in activities that lead to successful identification, prompt care seeking, timely initiation of treatment and follow-up.

Effect of kangaroo mother care initiated in community settings on financial risk protection of low-income households: a randomised controlled trial in Haryana, India.

INTRODUCTION: Many families in low-income and middle-income countries have high out-of-pocket expenditures (OOPE) for healthcare, and some face impoverishment. We aimed to assess the effect of Kangaroo Mother Care initiated in community setting (ciKMC) on financial risk protection estimated by healthcare OOPE, catastrophic healthcare expenditure (CHE) and impoverishment due to healthcare seeking for low birthweight infants, using a randomised controlled trial design. METHODS: We included 4475 low birthweight infants randomised to a ciKMC (2491 infants) and a control (1984 infants) arm, in a large trial conducted between 2017 and 2018 in Haryana, India. We used generalised linear models of the Gaussian family with an identity link to estimate the mean difference in healthcare OOPE, and Cox regression to estimate the HRs for CHE and impoverishment, between the trial arms. RESULTS: Overall, in the 8-week observation period, the mean healthcare OOPE per infant was lower (US$20.0) in the ciKMC arm compared with the control arm (US$25.6) that is, difference of -US$5.5, 95% CI -US$11.4 to US$0.3, p=0.06). Among infants who sought care it was US$8.5 (95% CI -US$17.0 to -US$0.03, p=0.03) lower in the ciKMC arm compared with the control arm. The HR for impoverishment due to healthcare seeking was 0.56 (95% CI 0.36 to 0.89, p=0.01) and it was 0.91 (95% CI 0.74 to 1.12, p=0.37) for CHE. CONCLUSION: ciKMC can substantially reduce the cost of care seeking and the risk of impoverishment for households. Our findings show that supporting mothers to provide KMC to low birthweight infants at home, in addition to reducing early infant mortality, may provide financial risk protection. TRIAL REGISTRATION NUMBER: CTRI/2017/10/010114.

Health equity impact of community-initiated kangaroo mother care: a randomized controlled trial.

BACKGROUND: Kangaroo mother care (KMC) can substantially enhance overall survival of low birthweight babies. In a large randomized controlled trial, we recently showed that supporting mothers to provide community initiated KMC (ciKMC) can reduce mortality among infants up to 180 days of life by 25% (hazard ratio (HR) 0.75). With the current analysis, we aimed to explore if ciKMC promotion leads to increased inequity in survival. METHODS: In the trial we randomized 8402 low birthweight babies to a ciKMC (4480 babies) and a control (3922 babies) arm, between 2015 and 2018 in Haryana, India. We estimated the difference in concentration indices, which measure inequality, between babies in the ciKMC and control arms for survival until 180 days of life. Further, we compared the effect of ciKMC promotion across subgroups defined by socioeconomic status, caste, maternal literacy, infant's sex, and religion. RESULTS: Our intervention did not increase survival inequity, as the concentration index in the ciKMC arm of the trial was 0.05 (95% CI -0.07 to 0.17) lower than in the control arm. Survival impact was higher among those belonging to the lower two wealth quintiles, those born to illiterate mothers and those belonging to religions other than Hindu. CONCLUSIONS: We found that ciKMC promotion did not increase inequity in survival associated with wealth. The beneficial impact of ciKMC tended to be larger among vulnerable groups. Supporting mothers to provide KMC at home to low birthweight babies will not increase and could indeed reduce inequities in infant survival. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02653534 . Registered January 12, 2016-Retrospectively registered.

Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, advocacy, resources allocation and program evaluation and at an individual level for targeted care. Early prenatal ultrasound examination is not available in these settings, gestational age (GA) is estimated using new-born assessment, last menstrual period (LMP) recalls and birth weight, which are unreliable. Algorithms in developed settings, using metabolic screen data, provided GA estimates within 1-2 weeks of ultrasonography-based GA. We sought to leverage machine learning algorithms to improve accuracy and applicability of this approach to LMICs settings. METHODS: This study uses data from AMANHI-ACT, a prospective pregnancy cohorts in Asia and Africa where early pregnancy ultrasonography estimated GA and birth weight are available and metabolite screening data in a subset of 1318 new-borns were also available. We utilized this opportunity to develop machine learning (ML) algorithms. Random Forest Regressor was used where data was randomly split into model-building and model-testing dataset. Mean absolute error (MAE) and root mean square error (RMSE) were used to evaluate performance. Bootstrap procedures were used to estimate confidence intervals (CI) for RMSE and MAE. For pre-term birth identification ROC analysis with bootstrap and exact estimation of CI for area under curve (AUC) were performed. RESULTS: Overall model estimated GA had MAE of 5.2 days (95% CI 4.6-6.8), which was similar to performance in SGA, MAE 5.3 days (95% CI 4.6-6.2). GA was correctly estimated to within 1 week for 85.21% (95% CI 72.31-94.65). For preterm birth classification, AUC in ROC analysis was 98.1% (95% CI 96.0-99.0; p < 0.001). This model performed better than Iowa regression, AUC Difference 14.4% (95% CI 5-23.7; p = 0.002). CONCLUSIONS: Machine learning algorithms and models applied to metabolomic gestational age dating offer a ladder of opportunity for providing accurate population-level gestational age estimates in LMICs settings. These findings also point to an opportunity for investigation of region-specific models, more focused feasible analyte models, and broad untargeted metabolome investigation.

Costs and cost-effectiveness of management of possible serious bacterial infections in young infants in outpatient settings when referral to a hospital was not possible: Results from randomized trials in Africa.

INTRODUCTION: Serious bacterial neonatal infections are a major cause of global neonatal mortality. While hospitalized treatment is recommended, families cannot access inpatient treatment in low resource settings. Two parallel randomized control trials were conducted at five sites in three countries (Democratic Republic of Congo, Kenya, and Nigeria) to compare the effectiveness of treatment with experimental regimens requiring fewer injections with a reference regimen A (injection gentamicin plus injection procaine penicillin both once daily for 7 days) on the outpatient basis provided to young infants (0-59 days) with signs of possible serious bacterial infection (PSBI) when the referral was not feasible. Costs were estimated to quantify the financial implications of scaleup, and cost-effectiveness of these regimens. METHODS: Direct economic costs (including personnel, drugs and consumable costs) were estimated for identification, prenatal and postnatal visits, assessment, classification, treatment and follow-up. Data on time spent by providers on each activity was collected from 83% of providers. Indirect marginal financial costs were estimated for non-consumables/capital, training, transport, communication, administration and supervision by considering only a share of the total research and health system costs considered important for the program. Total economic costs (direct plus indirect) per young infant treated were estimated based on 39% of young infants enrolled in the trial during 2012 and the number of days each treated during one year. The incremental cost-effectiveness ratio was calculated using treatment failure after one week as the outcome indicator. Experimental regimens were compared to the reference regimen and pairwise comparisons were also made. RESULTS: The average costs of treating a young infant with clinical severe infection (a sub-category of PSBI) in 2012 was lowest with regimen D (injection gentamicin once daily for 2 days plus oral amoxicillin twice daily for 7 days) at US$ 20.9 (95% CI US$ 16.4-25.3) or US$ 32.5 (2018 prices). While all experimental regimens B (injection gentamicin once daily plus oral amoxicillin twice daily, both for 7 days), regimen C (once daily of injection gentamicin injection plus injection procaine penicillin for 2 days, thereafter oral amoxicillin twice daily for 5 days) and regimen D were found to be more cost-effective as compared with the reference regimen A; pairwise comparison showed regimen D was more cost-effective than B or C. For fast breathing, the average cost of treatment with regimen E (oral amoxicillin twice daily for 7 days) at US$ 18.3 (95% CI US$ 13.4-23.3) or US$ 29.0 (2018 prices) was more cost-effective than regimen A. Indirect costs were 32% of the total treatment costs. CONCLUSION: Scaling up of outpatient treatment for PSBI when the referral is not feasible with fewer injections and oral antibiotics is cost-effective for young infants and can lead to increased access to treatment resulting in potential reductions in neonatal mortality. CLINICAL TRIAL REGISTRATION: The trial was registered with Australian New Zealand Clinical Trials Registry under ID ACTRN 12610000286044.

Management of possible serious bacterial infection in young infants where referral is not possible in the context of existing health system structure in Ibadan, South-west Nigeria.

INTRODUCTION: Neonatal infections contribute substantially to infant mortality in Nigeria and globally. Management requires hospitalization, which is not accessible to many in low resource settings. World Health Organization developed a guideline to manage possible serious bacterial infection (PSBI) in young infants up to two months of age when a referral is not feasible. We evaluated the feasibility of implementing this guideline to achieve high coverage of treatment. METHODS: This implementation research was conducted in out-patient settings of eight primary health care centres (PHC) in Lagelu Local Government Area (LGA) of Ibadan, Oyo State, Nigeria. We conducted policy dialogue with the Federal and State officials to adopt the WHO guideline within the existing programme setting and held orientation and sensitization meetings with communities. We established a Technical Support Unit (TSU), built the capacity of health care providers, supervised and mentored them, monitored the quality of services and collected data for management and outcomes of sick young infants with PSBI signs. The Primary Health Care Directorate of the state ministry and the local government led the implementation and provided technical support. The enablers and barriers to implementation were documented. RESULTS: From 1 April 2016 to 31 July 2017 we identified 5278 live births and of these, 1214 had a sign of PSBI. Assuming 30% of births were missed due to temporary migration to maternal homes for delivery care and approximately 45% cases came from outside the catchment area due to free availability of medicines, the treatment coverage was 97.3% (668 cases/6861 expected births) with an expected 10% PSBI prevalence within the first 2 months of life. Of 1214 infants with PSBI, 392 (32%) infants 7-59 days had only fast breathing (pneumonia), 338 (27.8%) infants 0-6 days had only fast breathing (severe pneumonia), 462 (38%) presented with signs of clinical severe infection (CSI) and 22 (1.8%) with signs of critical illness. All but two, 7-59 days old infants with pneumonia were treated with oral amoxicillin without a referral; 80% (312/390) adhered to full treatment; 97.7% (381/390) were cured, and no deaths were reported. Referral to the hospital was not accepted by 87.7% (721/822) families of infants presenting with signs of PSBI needing hospitalization (critical illness 5/22; clinical severe infection; 399/462 and severe pneumonia 317/338). They were treated on an outpatient basis with two days of injectable gentamicin and seven days of oral amoxicillin. Among these 81% (584/721) completed treatment; 97% (700/721) were cured, and three deaths were reported (two with critical illness and one with clinical severe infection). We identified health system gaps including lack of staff motivation and work strikes, medicines stockouts, sub-optimal home visits that affected implementation. CONCLUSIONS: When a referral is not feasible, outpatient treatment for young infants with signs of PSBI is possible within existing programme structures in Nigeria with high coverage and low case fatality. To scale up this intervention successfully, government commitment is needed to strengthen the health system, motivate and train health workers, provide necessary commodities, establish technical support for implementation and strengthen linkages with communities. REGISTRATION: Trial is registered on Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12617001373369.

Kangaroo Mother Care implementation research to develop models for accelerating scale-up in India and Ethiopia: study protocol for an adequacy evaluation.

INTRODUCTION: Kangaroo Mother Care (KMC) is the practice of early, continuous and prolonged skin-to-skin contact between the mother and the baby with exclusive breastfeeding. Despite clear evidence of impact in improving survival and health outcomes among low birth weight infants, KMC coverage has remained low and implementation has been limited. Consequently, only a small fraction of newborns that could benefit from KMC receive it. METHODS AND ANALYSIS: This implementation research project aims to develop and evaluate district-level models for scaling up KMC in India and Ethiopia that can achieve high population coverage. The project includes formative research to identify barriers and contextual factors that affect implementation and utilisation of KMC and design scalable models to deliver KMC across the facility-community continuum. This will be followed by implementation and evaluation of these models in routine care settings, in an iterative fashion, with the aim of reaching a successful model for wider district, state and national-level scale-up. Implementation actions would happen at three levels: 'pre-KMC facility'-to maximise the number of newborns getting to a facility that provides KMC; 'KMC facility'-for initiation and maintenance of KMC; and 'post-KMC facility'-for continuation of KMC at home. Stable infants with birth weight<2000 g and born in the catchment population of the study KMC facilities would form the eligible population. The primary outcome will be coverage of KMC in the preceding 24 hours and will be measured at discharge from the KMC facility and 7 days after hospital discharge. ETHICS AND DISSEMINATION: Ethics approval was obtained in all the project sites, and centrally by the Research Ethics Review Committee at the WHO. Results of the project will be submitted to a peer-reviewed journal for publication, in addition to national and global level dissemination. STUDY STATUS: WHO approved protocol: V.4-12 May 2016-Protocol ID: ERC 2716. Study implementation beginning: April 2017. Study end: expected March 2019. TRIAL REGISTRATION NUMBER: Community Empowerment Laboratory, Uttar Pradesh, India (ISRCTN12286667); St John's National Academy of Health Sciences, Bangalore, India and Karnataka Health Promotion Trust, Bangalore, India (CTRI/2017/07/008988); Society for Applied Studies, Delhi (NCT03098069); Oromia, Ethiopia (NCT03419416); Amhara, SNNPR and Tigray, Ethiopia (NCT03506698).

Effect of community-initiated kangaroo mother care on survival of infants with low birthweight: a randomised controlled trial.

BACKGROUND: Coverage of kangaroo mother care remains very low despite WHO recommendations for its use for babies with low birthweight in health facilities for over a decade. Initiating kangaroo mother care at the community level is a promising strategy to increase coverage. However, knowledge of the efficacy of community-initiated kangaroo mother care is still lacking. We aimed to assess the effect of community-initiated kangaroo mother care provided to babies weighing 1500-2250 g on neonatal and infant survival. METHODS: In this randomised controlled, superiority trial, undertaken in Haryana, India, we enrolled babies weighing 1500-2250 g at home within 72 h of birth, if not already initiated in kangaroo mother care, irrespective of place of birth (ie, home or health facility) and who were stable and feeding. The first eligible infants in households were randomly assigned (1:1) to the intervention (community-initiated kangaroo mother care) or control group by block randomisation using permuted blocks of variable size. Twins were allocated to the same group. For second eligible infants in the same household as an enrolled infant, if the first infant was assigned to the intervention group the second infant was also assigned to this group, whereas if the first infant was assigned to the control group the second infant was randomly assigned (1:1) to the intervention or control group. Mothers and infants in the intervention group were visited at home (days 1-3, 5, 7, 10, 14, 21, and 28) to support kangaroo mother care (ie, skin-to-skin contact and exclusive breastfeeding). The control group received routine care. The two primary outcomes were mortality between enrolment and 28 days and between enrolment and 180 days. Analysis was by intention to treat and adjusted for clustering within households. The effect of the intervention on mortality was assessed with person-time in the denominator using Cox proportional hazards model. This study is registered with ClinicalTrials.gov, NCT02653534 and NCT02631343, and is now closed to new participants. FINDINGS: Between July 30, 2015, and Oct 31, 2018, 8402 babies were enrolled, of whom 4480 were assigned to the intervention group and 3922 to the control group. Most births (6837 [81·4%]) occurred at a health facility, 36·2% (n=3045) had initiated breastfeeding within 1 h of birth, and infants were enrolled at an average of about 30 h (SD 17) of age. Vital status was known for 4470 infants in the intervention group and 3914 in the control group at age 28 days, and for 3653 in the intervention group and 3331 in the control group at age 180 days. Between enrolment and 28 days, 73 infants died in 4423 periods of 28 days in the intervention group and 90 deaths in 3859 periods of 28 days in the control group (hazard ratio [HR] 0·70, 95% CI 0·51-0·96; p=0·027). Between enrolment and 180 days, 158 infants died in 3965 periods of 180 days in the intervention group and 184 infants died in 3514 periods of 180 days in the control group (HR 0·75, 0·60-0·93; p=0·010). The risk ratios for death were almost the same as the HRs (28-day mortality 0·71, 95% CI 0·52- 0·97; p=0·032; 180-day mortality 0·76, 0·60-0·95; p=0·017). INTERPRETATION: Community-initiated kangaroo mother care substantially improves newborn baby and infant survival. In low-income and middle-income countries, incorporation of kangaroo mother care for all infants with low birthweight, irrespective of place of birth, could substantially reduce neonatal and infant mortality. FUNDING: Research Council of Norway and University of Bergen.

Utilisation, equity and determinants of full antenatal care in India: analysis from the National Family Health Survey 4.

OBJECTIVES: We examined the utilisation, equity and determinants of full antenatal care (ANC), defined as 4 or more antenatal visits, at least one tetanus toxoid (TT) injection and consumption of iron folic acid (IFA) for a minimum of 100 days, in India. METHODS: We analysed a sample of 190,898 women from India's National Family Health Survey 4. Concentration curves and concentration index were used to assess equity in full ANC utilisation. Multivariable logistic regression model was used to examine the factors associated with full ANC utilisation. RESULTS: In India, 21% of pregnant women utilised full ANC, ranging from 2.3-65.9% across states. Overall, 51.6% had 4 or more ANC visits, 30.8% consumed IFA for atleast 100 days, and 91.1% had one or more doses of tetanus toxoid. Full ANC utilisation was inequitable across place of residence, caste and maternal education. Registration of pregnancy, utilisation of government's Integrated Child Development Services (ICDS) and health insurance coverage were associated with higher odds of full ANC utilisation. Lower maternal education, lower wealth quintile(s), lack of father's participation during antenatal visits, higher birth order, teenage and unintended pregnancy were associated with lower odds of full ANC utilisation. CONCLUSIONS: Full ANC utilisation in India was inadequate and inequitable. Although half of the women did not receive the minimum recommended ANC visits, the utilisation of TT immunisation was almost universal. The positive association of full ANC with ICDS utilisation and child's father involvement may be leveraged for increasing the uptake of full ANC. Strategies to address the socio-demographic factors associated with low and inequitable utilisation of full ANC are imperative for strengthening India's maternal health program.

Costing of three feeding regimens for home-based management of children with uncomplicated severe acute malnutrition from a randomised trial in India.

TRIAL DESIGN: Three feeding regimens-centrally produced ready-to-use therapeutic food, locally produced ready-to-use therapeutic food, and augmented, energy-dense, home-prepared food-were provided in a community setting for children with severe acute malnutrition (SAM) in the age group of 6-59 months in an individually randomised multicentre trial that enrolled 906 children. Foods, counselling, feeding support and treatment for mild illnesses were provided until recovery or 16 weeks. METHODS: Costs were estimated for 371 children enrolled in Delhi in a semiurban location after active survey and identification, enrolment, diagnosis and treatment for mild illnesses, and finally treatment with one of the three regimens, both under the research and government setting. Direct costs were estimated for human resources using a price times quantity approach, based on their salaries and average time taken for each activity. The cost per week per child for food, medicines and other consumables was estimated based on the total expenditure over the period and children covered. Indirect costs for programme management including training, transport, non-consumables, infrastructure and equipment were estimated per week per child based on total expenditures for research study and making suitable adjustments for estimations under government setting. RESULTS: No significant difference in costs was found across the three regimens per covered or per treated child. The average cost per treated child in the government setting was estimated at US$56 (<3500 rupees). CONCLUSION: Home-based management of SAM with a locally produced ready-to-use therapeutic food is feasible, acceptable, affordable and very cost-effective in terms of the disability-adjusted life years saved and gross national income per capita of the country. The treatment of SAM at home needs serious attention and integration into the existing health system, along with actions to prevent SAM. TRIAL REGISTRATION NUMBER: NCT01705769; Pre-results.

Development and validation of a simplified algorithm for neonatal gestational age assessment - protocol for the Alliance for Maternal Newborn Health Improvement (AMANHI) prospective cohort study.

OBJECTIVE: The objective of the Alliance for Maternal and Newborn Health Improvement (AMANHI) gestational age study is to develop and validate a programmatically feasible and simple approach to accurately assess gestational age of babies after they are born. The study will provide accurate, population-based rates of preterm birth in different settings and quantify the risks of neonatal mortality and morbidity by gestational age and birth weight in five South Asian and sub-Saharan African sites. METHODS: This study used on-going population-based cohort studies to recruit pregnant women early in pregnancy (<20 weeks) for a dating ultrasound scan. Implementation is harmonised across sites in Ghana, Tanzania, Zambia, Bangladesh and Pakistan with uniform protocols and standard operating procedures. Women whose pregnancies are confirmed to be between 8 to 19 completed weeks of gestation are enrolled into the study. These women are followed up to collect socio-demographic and morbidity data during the pregnancy. When they deliver, trained research assistants visit women within 72 hours to assess the baby for gestational maturity. They assess for neuromuscular and physical characteristics selected from the Ballard and Dubowitz maturation assessment scales. They also measure newborn anthropometry and assess feeding maturity of the babies. Computer machine learning techniques will be used to identify the most parsimonious group of signs that correctly predict gestational age compared to the early ultrasound date (the gold standard). This gestational age will be used to categorize babies into term, late preterm and early preterm groups. Further, the ultrasound-based gestational age will be used to calculate population-based rates of preterm birth. IMPORTANCE OF THE STUDY: The AMANHI gestational age study will make substantial contribution to improve identification of preterm babies by frontline health workers in low- and middle- income countries using simple evaluations. The study will provide accurate preterm birth estimates. This new information will be crucial to planning and delivery of interventions for improving preterm birth outcomes, particularly in South Asia and sub-Saharan Africa.

Setting research priorities for maternal, newborn, child health and nutrition in India by engaging experts from 256 indigenous institutions contributing over 4000 research ideas: a CHNRI exercise by ICMR and INCLEN.

BACKGROUND: Health research in low- and middle- income countries (LMICs) is often driven by donor priorities rather than by the needs of the countries where the research takes place. This lack of alignment of donor's priorities with local research need may be one of the reasons why countries fail to achieve set goals for population health and nutrition. India has a high burden of morbidity and mortality in women, children and infants. In order to look forward toward the Sustainable Development Goals, the Indian Council of Medical Research (ICMR) and the INCLEN Trust International (INCLEN) employed the Child Health and Nutrition Research Initiative's (CHNRI) research priority setting method for maternal, neonatal, child health and nutrition with the timeline of 2016-2025. The exercise was the largest to-date use of the CHNRI methodology, both in terms of participants and ideas generated and also expanded on the methodology. METHODS: CHNRI is a crowdsourcing-based exercise that involves using the collective intelligence of a group of stakeholders, usually researchers, to generate and score research options against a set of criteria. This paper reports on a large umbrella CHNRI that was divided into four theme-specific CHNRIs (maternal, newborn, child health and nutrition). A National Steering Group oversaw the exercise and four theme-specific Research Sub-Committees technically supported finalizing the scoring criteria and refinement of research ideas for the respective thematic areas. The exercise engaged participants from 256 institutions across India - 4003 research ideas were generated from 498 experts which were consolidated into 373 research options (maternal health: 122; newborn health: 56; child health: 101; nutrition: 94); 893 experts scored these against five criteria (answerability, relevance, equity, innovation and out-of-box thinking, investment on research). Relative weights to the criteria were assigned by 79 members from the Larger Reference Group. Given India's diversity, priorities were identified at national and three regional levels: (i) the Empowered Action Group (EAG) and North-Eastern States; (ii) States and Union territories in Northern India (including West Bengal); and (iii) States and Union territories in Southern and Western parts of India. CONCLUSIONS: The exercise leveraged the inherent flexibility of the CHNRI method in multiple ways. It expanded on the CHNRI methodology enabling analyses for identification of research priorities at national and regional levels. However, prioritization of research options are only valuable if they are put to use, and we hope that donors will take advantage of this prioritized list of research options.

Enhancing the child survival agenda to promote, protect, and support early child development.

High rates of child mortality and lost developmental potential in children under 5 years of age remain important challenges and drivers of inequity in the developing world. Substantive progress has been made toward Millennium Development Goal (MDG) 4 to improve child survival, but as we move into the post-2015 sustainable development agenda, much more work is needed to ensure that all children can realize their full and holistic physical, cognitive, psychological, and socio-emotional development potential. This article presents child survival and development as a continuous and multifaceted process and suggests that a life-course perspective of child development should be at the core of future policy making, programming, and research. We suggest that increased attention to child development, beyond child survival, is key to operationalize the sustainable development goals (SDGs), address inequities, build on the demographic dividend, and maximize gains in human potential. An important step toward implementation will be to increase integration of existing interventions for child survival and child development. Integrated interventions have numerous potential benefits, including optimization of resource use, potential additive impacts across multiple domains of health and development, and opportunity to realize a more holistic approach to client-centered care. However, a notable challenge to integration is the continued division between the health sector and other sectors that support child development. Despite these barriers, empirical evidence is available to suggest that successful multisectoral coordination is feasible and leads to improved short- and long-term outcomes in human, social, and economic development.

State of neonatal health care in eight countries of the SAARC region, South Asia: how can we make a difference?

The South Asian Association for Regional Cooperation (SAARC) is an organization of eight countries--Bangladesh, Bhutan, India, the Maldives, Nepal, Pakistan, Sri Lanka and Afghanistan. The major objectives of this review are to examine trends and progress in newborn and neonatal health care in the region. A landscape analysis of the current state of neonatal mortality, stillbirths and trends over the years for each country and the effective interventions to reduce neonatal mortality and stillbirths was undertaken. A modelling exercise using the Lives Saved Tool (LiST) was also undertaken to determine the impact of scaling up a set of essential interventions on neonatal mortality and stillbirths. The findings demonstrate that there is an unacceptably high and uneven burden of neonatal mortality and stillbirths in the region which together account for 39% of global neonatal deaths and 41% of global stillbirths. Progress is uneven across countries in the region, with five of the eight SAARC countries having reduced their neonatal mortality rate by more than 50% since 1990, while India (43%), Afghanistan (29%) and Pakistan (25%) have made slower progress and will not reach their MDG4 targets. The major causes of neonatal mortality are intrapartum-related deaths, preterm birth complications and sepsis which account for nearly 80% of all deaths. The LiST analysis shows that a gradual increase in coverage of proven available interventions until 2020 followed by a uniform scale-up to 90% of all interventions until 2030 could avert 52% of neonatal deaths (0.71 million), 29% of stillbirths (0.31 million) and achieve a 31% reduction in maternal deaths (0.25 million). The analysis demonstrates that the Maldives and Sri Lanka have done remarkably well while other countries need greater attention and specific focus on strategies to improve neonatal health.

Can available interventions end preventable deaths in mothers, newborn babies, and stillbirths, and at what cost?

Progress in newborn survival has been slow, and even more so for reductions in stillbirths. To meet Every Newborn targets of ten or fewer neonatal deaths and ten or fewer stillbirths per 1000 births in every country by 2035 will necessitate accelerated scale-up of the most effective care targeting major causes of newborn deaths. We have systematically reviewed interventions across the continuum of care and various delivery platforms, and then modelled the effect and cost of scale-up in the 75 high-burden Countdown countries. Closure of the quality gap through the provision of effective care for all women and newborn babies delivering in facilities could prevent an estimated 113,000 maternal deaths, 531,000 stillbirths, and 1·325 million neonatal deaths annually by 2020 at an estimated running cost of US$4·5 billion per year (US$0·9 per person). Increased coverage and quality of preconception, antenatal, intrapartum, and postnatal interventions by 2025 could avert 71% of neonatal deaths (1·9 million [range 1·6-2·1 million]), 33% of stillbirths (0·82 million [0·60-0·93 million]), and 54% of maternal deaths (0·16 million [0·14-0·17 million]) per year. These reductions can be achieved at an annual incremental running cost of US$5·65 billion (US$1·15 per person), which amounts to US$1928 for each life saved, including stillbirths, neonatal, and maternal deaths. Most (82%) of this effect is attributable to facility-based care which, although more expensive than community-based strategies, improves the likelihood of survival. Most of the running costs are also for facility-based care (US$3·66 billion or 64%), even without the cost of new hospitals and country-specific capital inputs being factored in. The maximum effect on neonatal deaths is through interventions delivered during labour and birth, including for obstetric complications (41%), followed by care of small and ill newborn babies (30%). To meet the unmet need for family planning with modern contraceptives would be synergistic, and would contribute to around a halving of births and therefore deaths. Our analysis also indicates that available interventions can reduce the three most common cause of neonatal mortality--preterm, intrapartum, and infection-related deaths--by 58%, 79%, and 84%, respectively.

An innovative multipartner research program to address detection, assessment and treatment of neonatal infections in low-resource settings.

BACKGROUND: In pursuit of innovative approaches for the management of severe infections in young infants, which is a major cause of mortality, a multipartner research program was conceptualized to provide right care in the right place. The primary objective was to generate evidence and identify a simple, safe and effective treatment regimen for young infants with severe infections that can be provided closer to home by trained health workers where referral is not possible. RESEARCH: Published and nonpublished data on community-based approaches for the management of neonatal sepsis were critically reviewed by an independent expert panel convened in 2007 by the World Health Organization in collaboration with the United States Agency for International Development and Save the Children/Saving Newborn Lives. These stakeholders agreed to 1) undertake research to improve the specificity of a diagnostic algorithm and revise World Health Organization/United Nations International Children's Emergency Fund Integrated Management of Childhood Illness guidelines to identify sick young infants for referral, 2) develop research studies with common research designs (1 site in each Bangladesh and Pakistan and a multicentre site in Democratic Republic of Congo, Kenya and Nigeria) and oversight mechanisms to evaluate antibiotic regimens (when referral is not accepted by the family) that are safe and efficacious, appropriate to the severity of infection, and deployable on a large scale and 3) utilize existing program delivery structures incorporating community health workers, skilled health workers to deliver simple antibiotic treatment when referral is not possible. CONCLUSIONS: This research program facilitated innovative research in different geographical, cultural and administrative milieus to generate recommendations for policy.

Setting research priorities to reduce global mortality from preterm birth and low birth weight by 2015.

AIM: This paper aims to identify health research priorities that could improve the rate of progress in reducing global neonatal mortality from preterm birth and low birth weight (PB/LBW), as set out in the UN's Millennium Development Goal 4. METHODS: We applied the Child Health and Nutrition Research Initiative (CHNRI) methodology for setting priorities in health research investments. In the process coordinated by the World Health Organization in 2007-2008, 21 researchers with interest in child, maternal and newborn health suggested 82 research ideas that spanned across the broad spectrum of epidemiological research, health policy and systems research, improvement of existing interventions and development of new interventions. The 82 research questions were then assessed for answerability, effectiveness, deliverability, maximum potential for mortality reduction and the effect on equity using the CHNRI method. RESULTS: The top 10 identified research priorities were dominated by health systems and policy research questions (eg, identification of LBW infants born at home within 24-48 hours of birth for additional care; approaches to improve quality of care of LBW infants in health facilities; identification of barriers to optimal home care practices including care seeking; and approaches to increase the use of antenatal corticosteriods in preterm labor and to improve access to hospital care for LBW infants). These were followed by priorities for improvement of the existing interventions (eg, early initiation of breastfeeding, including feeding mode and techniques for those unable to suckle directly from the breast; improved cord care, such as chlorhexidine application; and alternative methods to Kangaroo Mother Care (KMC) to keep LBW infants warm in community settings). The highest-ranked epidemiological question suggested improving criteria for identifying LBW infants who need to be cared for in a hospital. Among the new interventions, the greatest support was shown for the development of new simple and effective interventions for providing thermal care to LBW infants, if KMC is not acceptable to the mother. CONCLUSION: The context for this exercise was set within the MDG4, requiring an urgent and rapid progress in mortality reduction from low birth weight, rather than identifying long-term strategic solutions of the greatest potential. In a short-term context, the health policy and systems research to improve access and coverage by the existing interventions, coupled with further research to improve effectiveness, deliverability and acceptance of existing interventions, and epidemiological research to address the key gaps in knowledge, were all highlighted as research priorities.