Vulnerable newborn types: Analysis of population-based registries for 165 million births in 23 countries, 2000-2021.

OBJECTIVE: To examine the prevalence of novel newborn types among 165 million live births in 23 countries from 2000 to 2021. DESIGN: Population-based, multi-country analysis. SETTING: National data systems in 23 middle- and high-income countries. POPULATION: Liveborn infants. METHODS: Country teams with high-quality data were invited to be part of the Vulnerable Newborn Measurement Collaboration. We classified live births by six newborn types based on gestational age information (preterm <37 weeks versus term ≥37 weeks) and size for gestational age defined as small (SGA, <10th centile), appropriate (10th-90th centiles), or large (LGA, >90th centile) for gestational age, according to INTERGROWTH-21st standards. We considered small newborn types of any combination of preterm or SGA, and term + LGA was considered large. Time trends were analysed using 3-year moving averages for small and large types. MAIN OUTCOME MEASURES: Prevalence of six newborn types. RESULTS: We analysed 165 017 419 live births and the median prevalence of small types was 11.7% - highest in Malaysia (26%) and Qatar (15.7%). Overall, 18.1% of newborns were large (term + LGA) and was highest in Estonia 28.8% and Denmark 25.9%. Time trends of small and large infants were relatively stable in most countries. CONCLUSIONS: The distribution of newborn types varies across the 23 middle- and high-income countries. Small newborn types were highest in west Asian countries and large types were highest in Europe. To better understand the global patterns of these novel newborn types, more information is needed, especially from low- and middle-income countries.

Comprehensive Health Insurance and access to maternal healthcare services among Peruvian women: a cross-sectional study using the 2021 national demographic survey.

BACKGROUND: The government-subsidized health insurance scheme Seguro Integral de Salud ("SIS") was introduced in Peru initially to provide coverage to uninsured and poor pregnant women and children under five years old and was later extended to cover all uninsured members of the population following the Peruvian Plan Esencial de Aseguramiento Universal - "PEAS" (Essential UHC Package). Our study aimed to analyze the extent to which the introduction of SIS has increased equity in access and quality by comparing the utilization of maternal healthcare services among women with different insurance coverages. METHODS: Relying on the 2021 round of the nationally-representative survey "ENDES" (Encuesta Nacional Demográfica y de Salud Familiar), we analyzed data for 19,181 women aged 15-49 with a history of pregnancy in the five years preceding the survey date. We used a series of logistic regressions to explore the association between health insurance coverage (defined as No Insurance, SIS, or Standard Insurance) and a series of outcome variables measuring access to and quality of all services along the available maternal healthcare continuum. RESULTS: Only 46.5% of women across all insurance schemes reported having accessed effective ANC prevention. Findings from the adjusted logistic regression confirmed that insured women were more likely to have accessed ANC services compared with uninsured women. Our findings indicate that women in the "SIS" group were more likely to have accessed six ANC visits (aOR = 1.40; 95% CI 1.14-1.73) as well as effective ANC prevention (aOR = 1.32; 95% CI 1.17-1.48), ANC education (aOR = 1.59; 95% CI 1.41-1.80) and ANC screening (aOR = 1.46; 95% CI 1.27-1.69) during pregnancy, compared with women in the "Standard Insurance" group [aOR = 1.35 (95% CI 1.13-1.62), 1.22 (95% CI 1.04-1.42), 1.34 (95% CI 1.18-1.51) and 1.31(95% CI 1.15-1.49)] respectively. In addition, women in the "Standard Insurance" group were more likely to have received skilled attendance at birth (aOR = 2.17, 95% CI 1.33-3.55) compared with the women in the "SIS" insurance group (aOR = 2.12; 95% CI 1.41-3.17). CONCLUSIONS: Our findings indicate the persistence of inequities in access to maternal healthcare services that manifest themselves not only in the reduced utilization among the uninsured, but also in the lower quality of service coverage that uninsured women received compared with women insured under "Standard Insurance" or "SIS". Further policy reforms are needed both to expand insurance coverage and to ensure that all women receive the same access to care irrespective of their specific insurance coverage.

Geographic inequalities in health intervention coverage - mapping the composite coverage index in Peru using geospatial modelling.

BACKGROUND: The composite coverage index (CCI) provides an integrated perspective towards universal health coverage in the context of reproductive, maternal, newborn and child health. Given the sample design of most household surveys does not provide coverage estimates below the first administrative level, approaches for achieving more granular estimates are needed. We used a model-based geostatistical approach to estimate the CCI at multiple resolutions in Peru. METHODS: We generated estimates for the eight indicators on which the CCI is based for the departments, provinces, and areas of 5 × 5 km of Peru using data from two national household surveys carried out in 2018 and 2019 plus geospatial covariates. Bayesian geostatistical models were fit using the INLA-SPDE approach. We assessed model fit using cross-validation at the survey cluster level and by comparing modelled and direct survey estimates at the department-level. RESULTS: CCI coverage in the provinces along the coast was consistently higher than in the remainder of the country. Jungle areas in the north and east presented the lowest coverage levels and the largest gaps between and within provinces. The greatest inequalities were found, unsurprisingly, in the largest provinces where populations are scattered in jungle territory and are difficult to reach. CONCLUSIONS: Our study highlighted provinces with high levels of inequality in CCI coverage indicating areas, mostly low-populated jungle areas, where more attention is needed. We also uncovered other areas, such as the border with Bolivia, where coverage is lower than the coastal provinces and should receive increased efforts. More generally, our results make the case for high-resolution estimates to unveil geographic inequities otherwise hidden by the usual levels of survey representativeness.

Emergency department risk factors for serious clinical deterioration in a paediatric hospital in Peru.

AIM: Identification of critically ill children upon presentation to the emergency department (ED) is challenging, especially when resources are limited. The objective of this study was to identify ED risk factors associated with serious clinical deterioration (SCD) during hospitalisation in a resource-limited setting. METHODS: A retrospective case-control study of children less than 18 years of age presenting to the ED in a large, freestanding children's hospital in Peru was performed. Cases had SCD during the first 7 days of hospitalisation whereas controls did not. Information collected during initial ED evaluation was used to identify risk factors for SCD. RESULTS: A total of 120 cases and 974 controls were included. In univariate analysis, young age, residence outside Lima, evaluation at another facility prior to ED presentation, congenital malformations, abnormal neurologic baseline, co-morbidities and a prior paediatric intensive care unit admission were associated with SCD. In multivariate analysis, age < 12 months, residence outside Lima and evaluation at another facility prior to ED presentation remained associated with SCD. In addition, comatose neurological status, hypoxaemia, tachycardia, tachypnoea and temperature were also associated with SCD. CONCLUSIONS: Many risk factors for SCD during hospitalisation can be identified upon presentation to the ED. Using these factors to adjust monitoring during and after the ED stay has the potential to decrease SCD events. Further studies are needed to determine whether this holds true in other resource-limited settings.

Understanding drivers of domestic public expenditure on reproductive, maternal, neonatal and child health in Peru at district level: an ecological study.

BACKGROUND: Peru has increased substantially its domestic public expenditure in maternal and child health. Peruvian departments are heterogeneous in contextual and geographic factors, underlining the importance of disaggregated expenditure analysis up to the district level. We aimed to assess possible district level factors influencing public expenditure on reproductive, maternal, neonatal and child health (RMNCH) in Peru. METHODS: We performed an ecological study in 24 departments, with specific RMNCH expenditure indicators as outcomes, and covariates of different hierarchical dimensions as predictors. To account for the influence of variables included in the different dimensions over time and across departments, we chose a stepwise multilevel mixed-effects regression model, with department-year as the unit of analysis. RESULTS: Public expenditure increased in all departments, particularly for maternal-neonatal and child health activities, with a different pace across departments. The multilevel analysis did not reveal consistently influential factors, except for previous year expenditure on reproductive and maternal-neonatal health. Our findings may be explained by a combination of inertial expenditure, a results-based budgeting approach to increase expenditure efficiency and effectiveness, and by a mixed-effects decentralization process. Sample size, interactions and collinearity cannot be ruled out completely. CONCLUSIONS: Public district-level RMNCH expenditure has increased remarkably in Peru. Evidence on underlying factors influencing such trends warrants further research, most likely through a combination of quantitative and qualitative approaches.

Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis.

BACKGROUND: Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012. METHODS: We used various secondary data sources to describe time trends of stunting and of possible predictors that included distal to proximal determinants. We determined a ranking of departments by annual change of stunting and of different predictors. To account for variation over time and across departments, we used an ecological hierarchical approach based on a multilevel mixed-effects regression model, considering stunting as the outcome. Our unit of analysis was one department-year. RESULTS: Stunting followed a decreasing trend in all departments, with differing slopes. The reduction pace was higher from 2007-2008 onwards. The departments with the highest annual stunting reduction were Cusco (-2.31%), Amazonas (-1.57%), Puno (-1.54%), Huanuco (-1.52%), and Ancash (-1.44). Those with the lowest reduction were Ica (-0.67%), Ucayali (-0.64%), Tumbes (-0.45%), Lima (-0.37%), and Tacna (-0.31%). Amazon and Andean departments, with the highest baseline poverty rates and concentrating the highest rural populations, showed the highest stunting reduction. In the multilevel analysis, when accounting for confounding, social determinants seemed to be the most important factors influencing annual stunting reduction, with significant variation between departments. CONCLUSIONS: Stunting reduction may be explained by the adoption of anti-poverty policies and sustained implementation of equitable crosscutting interventions, with focus on poorest areas. Inclusion of quality indicators for reproductive, maternal, neonatal and child health interventions may enable further analyses to show the influence of these factors. After a long stagnation period, Peru reduced dramatically its national and departmental stunting prevalence, thanks to a combination of social determinants and crosscutting factors. This experience offers useful lessons to other countries trying to improve their children's nutrition.

Towards sustainable partnerships in global health: the case of the CRONICAS Centre of Excellence in Chronic Diseases in Peru.

Human capital requires opportunities to develop and capacity to overcome challenges, together with an enabling environment that fosters critical and disruptive innovation. Exploring such features is necessary to establish the foundation of solid long-term partnerships. In this paper we describe the experience of the CRONICAS Centre of Excellence in Chronic Diseases, based at Universidad Peruana Cayetano Heredia in Lima, Peru, as a case study for fostering meaningful and sustainable partnerships for international collaborative research. The CRONICAS Centre of Excellence in Chronic Diseases was established in 2009 with the following Mission: "We support the development of young researchers and collaboration with national and international institutions. Our motivation is to improve population's health through high quality research." The Centre's identity is embedded in its core values - generosity, innovation, integrity, and quality- and its trajectory is a result of various interactions between multiple individuals, collaborators, teams, and institutions, which together with the challenges confronted, enables us to make an objective assessment of the partnership we would like to pursue, nurture and support. We do not intend to provide a single example of a successful partnership, but in contrast, to highlight what can be translated into opportunities to be faced by research groups based in low- and middle-income countries, and how these encounters can provide a strong platform for fruitful and sustainable partnerships. In defiant contexts, partnerships require to be nurtured and sustained. Acknowledging that all partnerships are not and should not be the same, we also need to learn from the evolution of such relationships, its key successes, hurdles and failures to contribute to the promotion of a culture of global solidarity where mutual goals, mutual gains, as well as mutual responsibilities are the norm. In so doing, we will all contribute to instil a new culture where expectations, roles and interactions among individuals and their teams are horizontal, the true nature of partnerships.

Remaining missed opportunities of child survival in Peru: modelling mortality impact of universal and equitable coverage of proven interventions.

BACKGROUND: Peru has made great improvements in reducing stunting and child mortality in the past decade, and has reached the Millennium Development Goals 1 and 4. The remaining challenges or missed opportunities for child survival needs to be identified and quantified, in order to guide the next steps to further improve child survival in Peru. METHODS: We used the Lives Saved Tool (LiST) to project the mortality impact of proven interventions reaching every women and child in need, and the mortality impact of eliminating inequalities in coverage distribution between wealth quintiles and urban-rural residence. RESULTS: Our analyses quantified the remaining missed opportunities in Peru, where prioritizing scale-up of facility-based case management for all small and sick babies will be most effective in mortality reduction, compared to other evidenced-based interventions that prevent maternal and child deaths. Eliminating coverage disparities between the poorest quintiles and the richest will reduce under-five and neonatal mortality by 22.0 and 40.6 %, while eliminating coverage disparities between those living in rural and urban areas will reduce under-five and neonatal mortality by 29.3 and 45.2 %. This projected neonatal mortality reduction achieved by eliminating coverage disparities is almost comparable to that already achieved by Peru over the past decade. CONCLUSIONS: Although Peru has made great strides in improving child survival, further improvement in child health, especially in newborn health can be achieved if there is universal and equitable coverage of proven, quality health facility-based interventions. The magnitude of reduction in mortality will be similar to what has been achieved in the past decade. Strengthening health system to identify, understand, and direct resources to the poor and rural areas will ensure that Peru achieve the Sustainable Development Goals by 2030.

Examining national and district-level trends in neonatal health in Peru through an equity lens: a success story driven by political will and societal advocacy.

BACKGROUND: Peru has impressively reduced its neonatal mortality rate (NMR). We aimed, for the period 2000-2013, to: (a) describe national and district NMR variations over time; (b) assess NMR trends by wealth quintile and place of residence; (c) describe evolution of mortality causes; (d) assess completeness of registered mortality; (e) assess coverage and equity of NMR-related interventions; and (f) explore underlying driving factors. METHODS: We compared national NMR time trends from different sources. To describe NMR trends by wealth quintiles, place of residence and districts, we pooled data on births and deaths by calendar year for neonates born to women interviewed in multiple surveys. We disaggregated coverage of NMR-related interventions by wealth quintiles and place of residence. To identify success factors, we ran regression analyses and combined desk reviews with qualitative interviews and group discussions. RESULTS: NMR fell by 51 % from 2000 to 2013, second only to Brazil in Latin America. Reduction was higher in rural and poorest segments (52 and 58 %). District NMR change varied by source. Regarding cause-specific NMRs, prematurity decreased from 7.0 to 3.2 per 1,000 live births, intra-partum related events from 2.9 to 1.2, congenital abnormalities from 2.4 to 1.8, sepsis from 1.9 to 0.8, pneumonia from 0.9 to 0.4, and other conditions from 1.2 to 0.7. Under-registration of neonatal deaths decreased recently, more in districts with higher development index and lower rural population. Coverage of family planning, antenatal care and skilled birth attendance increased more in rural areas and in the poorest quintile. Regressions did not show consistent associations between mortality and predictors. During the study period social determinants improved substantially, and dramatic out-of-health-sector and health-sector changes occurred. Rural areas and the poorest quintile experienced greater NMR reduction. This progress was driven, within a context of economic growth and poverty reduction, by a combination of strong societal advocacy and political will, which translated into pro-poor implementation of evidence-based interventions with a rights-based approach. CONCLUSIONS: Although progress in Peru for reducing NMR has been remarkable, future challenges include closing remaining gaps for urban and rural populations and improving newborn health with qualified staff and intermediate- and intensive-level health facilities.

Countdown to 2015 country case studies: systematic tools to address the "black box" of health systems and policy assessment.

BACKGROUND: Evaluating health systems and policy (HSP) change and implementation is critical in understanding reproductive, maternal, newborn and child health (RMNCH) progress within and across countries. Whilst data for health outcomes, coverage and equity have advanced in the last decade, comparable analyses of HSP changes are lacking. We present a set of novel tools developed by Countdown to 2015 (Countdown) to systematically analyse and describe HSP change for RMNCH indicators, enabling multi-country comparisons. METHODS: International experts worked with eight country teams to develop HSP tools via mixed methods. These tools assess RMNCH change over time (e.g. 1990-2015) and include: (i) Policy and Programme Timeline Tool (depicting change according to level of policy); (ii) Health Policy Tracer Indicators Dashboard (showing 11 selected RMNCH policies over time); (iii) Health Systems Tracer Indicators Dashboard (showing four selected systems indicators over time); and (iv) Programme implementation assessment. To illustrate these tools, we present results from Tanzania and Peru, two of eight Countdown case studies. RESULTS: The Policy and Programme Timeline tool shows that Tanzania's RMNCH environment is complex, with increased funding and programmes for child survival, particularly primary-care implementation. Maternal health was prioritised since mid-1990s, yet with variable programme implementation, mainly targeting facilities. Newborn health only received attention since 2005, yet is rapidly scaling-up interventions at facility- and community-levels. Reproductive health lost momentum, with re-investment since 2010. Contrastingly, Peru moved from standalone to integrated RMNCH programme implementation, combined with multi-sectoral, anti-poverty strategies. The HSP Tracer Indicators Dashboards show that Peru has adopted nine of 11 policy tracer indicators and Tanzania has adopted seven. Peru costed national RMNCH plans pre-2000, whereas Tanzania developed a national RMNCH plan in 2006 but only costed the reproductive health component. Both countries included all lifesaving RMNCH commodities on their essential medicines lists. Peru has twice the health worker density of Tanzania (15.4 vs. 7.1/10,000 population, respectively), although both are below the 22.8 WHO minimum threshold. CONCLUSIONS: These are the first HSP tools using mixed methods to systematically analyse and describe RMNCH changes within and across countries, important in informing accelerated progress for ending preventable maternal, newborn and child mortality in the post-2015 era.

Countdown to 2015 country case studies: what can analysis of national health financing contribute to understanding MDG 4 and 5 progress?

BACKGROUND: Countdown to 2015 (Countdown) supported countries to produce case studies that examine how and why progress was made toward the Millennium Development Goals (MDGs) 4 and 5. Analysing how health-financing data explains improvements in RMNCH outcomes was one of the components to the case studies. METHODS: This paper presents a descriptive analysis on health financing from six Countdown case studies (Afghanistan, Ethiopia, Malawi, Pakistan, Peru, and Tanzania), supplemented by additional data from global databases and country reports on macroeconomic, health financing, demographic, and RMNCH outcome data as needed. It also examines the effect of other contextual factors presented in the case studies to help interpret health-financing data. RESULTS: Dramatic increases in health funding occurred since 2000, where the MDG agenda encouraged countries and donors to invest more resources on health. Most low-income countries relied on external support to increase health spending, with an average 20-64 % of total health spending from 2000 onwards. Middle-income countries relied more on government and household spending. RMNCH funding also increased since 2000, with an average increase of 119 % (2005-2010) for RMNH expenditures (2005-2010) and 165 % for CH expenditures (2005-2011). Progress was made, especially achieving MDG 4, even with low per capita spending; ranging from US$16 to US$44 per child under 5 years among low-income countries. Improvements in distal factors were noted during the time frame of the analysis, including rapid economic growth in Ethiopia, Peru, and Tanzania and improvements in female literacy as documented in Malawi, which are also likely to have contributed to MDG progress and achievements. CONCLUSIONS: Increases in health and RMNCH funding accompanied improvements in outcomes, though low-income countries are still very reliant on external financing, and out-of-pocket comprising a growing share of funds in middle-income settings. Enhancements in tracking RMNCH expenditures across countries are still needed to better understand whether domestic and global health financing initiatives lead to improved outcomes as RMNCH continues to be a priority under the Sustainable Development Goals.

Every Newborn: health-systems bottlenecks and strategies to accelerate scale-up in countries.

Universal coverage of essential interventions would reduce neonatal deaths by an estimated 71%, benefit women and children after the first month, and reduce stillbirths. However, the packages with the greatest effect (care around birth, care of small and ill newborn babies), have low and inequitable coverage and are the most sensitive markers of health system function. In eight of the 13 countries with the most neonatal deaths (55% worldwide), we undertook a systematic assessment of bottlenecks to essential maternal and newborn health care, involving more than 600 experts. Of 2465 bottlenecks identified, common constraints were found in all high-burden countries, notably regarding the health workforce, financing, and service delivery. However, bottlenecks for specific interventions might differ across similar health systems. For example, the implementation of kangaroo mother care was noted as challenging in the four Asian country workshops, but was regarded as a feasible aspect of preterm care by respondents in the four African countries. If all high-burden countries achieved the neonatal mortality rates of their region's fastest progressing countries, then the mortality goal of ten or fewer per 1000 livebirths by 2035 recommended in this Series and the Every Newborn Action Plan would be exceeded. We therefore examined fast progressing countries to identify strategies to reduce neonatal mortality. We identified several key factors: (1) workforce planning to increase numbers and upgrade specific skills for care at birth and of small and ill newborn babies, task sharing, incentives for rural health workers; (2) financial protection measures, such as expansion of health insurance, conditional cash transfers, and performance-based financing; and (3) dynamic leadership including innovation and community empowerment. Adapting from the 2005 Lancet Series on neonatal survival and drawing on this Every Newborn Series, we propose a country-led, data-driven process to sharpen national health plans, seize opportunities to address the quality gap for care at birth and care of small and ill newborn babies, and systematically scale up care to reach every mother and newborn baby, particularly the poorest.

Factors behind job preferences of Peruvian medical, nursing and midwifery students: a qualitative study focused on rural deployment.

BACKGROUND: Deployment of health workforce in rural areas is critical to reach universal health coverage. Students' perceptions towards practice in rural areas likely influence their later choice of a rural post. We aimed at exploring perceptions of students from health professions about career choice, job expectations, motivations and potential incentives to work in a rural area. METHODS: In-depth interviews and focus groups were conducted among medical, nursing and midwifery students from universities of two Peruvian cities (Ica and Ayacucho). Themes for assessment and analysis included career choice, job expectations, motivations and incentives, according to a background theory a priori built for the study purpose. RESULTS: Preference for urban jobs was already established at this undergraduate level. Solidarity, better income expectations, professional and personal recognition, early life experience and family models influenced career choice. Students also expressed altruism, willingness to choose a rural job after graduation and potential responsiveness to incentives for practising in rural areas, which emerged more frequent from the discourse of nursing and midwifery students and from all students of rural origin. Medical students expressed expectations to work in large urban hospitals offering higher salaries. They showed higher personal, professional and family welfare expectations. Participants consistently favoured both financial and non-financial incentives. CONCLUSIONS: Nursing and midwifery students showed a higher disposition to work in rural areas than medical doctors, which was more evident in students of rural origin. Our results may be useful to improve targeting and selection of undergraduate students, to stimulate the inclination of students to choose a rural job upon graduation and to reorient school programmes towards the production of socially committed health professionals. Policymakers may also consider using our results when planning and implementing interventions to improve rural deployment of health professionals.

Vulnerable newborn phenotypes in Peru: a population-based study of 3,841,531 births at national and subnational levels from 2012 to 2021.

Background: We aimed to examine the national and subnational prevalence of vulnerable newborn phenotypes in Peru, 2012-2021. Methods: Newborn phenotypes were defined using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight [LBW], non-LBW) using the Peruvian National Birth Registry as six (by excluding birthweight) and ten newborn phenotypes (using all three outcomes). Small phenotypes (with at least one classification of PT, SGA, or LBW) were further considered. Using individual-level data, we stratified the phenotypes by maternal educational level, maternal age, healthcare insurance, altitude of residence, and geographic region (Coast, Andes, and Amazon). Findings: The prevalence of the five vulnerable newborn phenotypes for the study period was LGA+T (15.2%), AGA+PT (5.2%), SGA+T (4.6%), LGA+PT (0.8%), and SGA+PT (0.7%). The Coast had a higher prevalence of newborns with large phenotypes (19.4%) and the Highlands a higher prevalence of newborns with small phenotypes (12.5%). Mothers with poor socioeconomic status, extreme ages and living at high altitude had a higher prevalence of newborns with small phenotypes, and mothers who were wealthier, more educated, and older had a higher prevalence of infants with large phenotypes. Interpretation: Our findings cautiously suggest that socioeconomic and geographic disparities may play a crucial role in shaping vulnerable newborn phenotypes at national and subnational level in Peru. Further studies using longitudinal data are needed to corroborate our findings and to identify individual-level risk factors. Funding: Ter Meulen Grant from the KNAW Medical Sciences Fund of the Royal Netherlands Academy of Arts and Sciences (KNAWWF/1085/TMB406, KNAWWF/1327/TMB202116), Fogarty Program (D43TW011502).

Unveiling the dimension of regional disparities: Assessing the disruption of immunisation services by COVID-19 in Bangladesh.

Background: The coronavirus disease 2019 (COVID-19) pandemic disrupted essential health care services worldwide, including those related to immunisation. National data from Bangladesh shows that child immunisation may have been adversely affected by the pandemic but regional evidence is limited. We therefore aimed to explore the regional differences in the indirect effects of COVID-19 on child immunisation in Bangladesh. Methods: We extracted data from the District Health Information Software (DHIS2) spanning the period from January 2017 to December 2021. We examined three essential immunisation indicators: Bacille Calmette-Guérin (BCG), pentavalent third dose, and measles vaccinations. We examined both the yearly and monthly trends to explore fluctuations in the number of immunisations to pinpoint specific periods of service utilisation regression. Segmented regression with Poisson distribution was implemented given the count-based outcome. We reported incidence rate ratios (IRRs) with 95% confidence intervals (CIs) in different regions in 2020 and 2021 compared to the reference period (2017-19). Results: We initially observed a notable decline in vaccine administration in April 2020 compared to the pre-pandemic period of 2017-19 with a drop of approximately 53% for BCG vaccines, 55% for pentavalent third doses, and 51% for measles vaccines followed by May 2020. The second half of 2020 saw an increase in vaccination numbers. There were noticeable regional disparities, with Sylhet (IRR = 0.75; 95% CI = 0.67-0.84 for pentavalent administration, IRR = 0.79; 95% CI = 0.71-0.88 for measles administration) and Chattogram (IRR = 0.77; 95% CI = 0.72-0.83 for BCG administration) experiencing the most significant reductions in 2020. In April 2020, Dhaka also experienced the largest decline of 67% in measles vaccination. In 2021, most divisions experienced a rebound in BCG and pentavalent administration, exceeding 2019 levels, except for Chittagong, where numbers continued to decline, falling below the 2019 figure. Conclusions: Our findings highlight the impact of the COVID-19 pandemic on childhood immunisation across regions in Bangladesh. Sylhet, Chattogram, and Dhaka divisions experienced the most significant reductions in immunisation services during 2020. This underscores the importance of targeted interventions and regional strategies to mitigate the indirect effects of future challenges on essential health care services, particularly childhood immunisation, in Bangladesh.

Quality of care provided by mid-level health workers: systematic review and meta-analysis.

OBJECTIVE: To assess the effectiveness of care provided by mid-level health workers. METHODS: Experimental and observational studies comparing mid-level health workers and higher level health workers were identified by a systematic review of the scientific literature. The quality of the evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation criteria and data were analysed using Review Manager. FINDINGS: Fifty-three studies, mostly from high-income countries and conducted at tertiary care facilities, were identified. In general, there was no difference between the effectiveness of care provided by mid-level health workers in the areas of maternal and child health and communicable and noncommunicable diseases and that provided by higher level health workers. However, the rates of episiotomy and analgesia use were significantly lower in women giving birth who received care from midwives alone than in those who received care from doctors working in teams with midwives, and women were significantly more satisfied with care from midwives. Overall, the quality of the evidence was low or very low. The search also identified six observational studies, all from Africa, that compared care from clinical officers, surgical technicians or non-physician clinicians with care from doctors. Outcomes were generally similar. CONCLUSION: No difference between the effectiveness of care provided by mid-level health workers and that provided by higher level health workers was found. However, the quality of the evidence was low. There is a need for studies with a high methodological quality, particularly in Africa - the region with the greatest shortage of health workers.

Prevalence of essential newborn care in home and facility births in the Peruvian Amazon: analysis of census data from programme evaluation in three remote districts of the Loreto region.

Background: Essential newborn care (ENC) covers optimal breastfeeding, thermal care, and hygienic cord care. These practices are fundamental to save newborn lives. Despite neonatal mortality remaining high in some parts of Peru, no comprehensive data on ENC is available. We sought to estimate the prevalence of ENC and assess differences between facility and home births in the remote Peruvian Amazon. Methods: We used baseline data from a household census of rural communities of three districts in Loreto region, collected as part of the evaluation of a maternal-neonatal health (MNH) programme. Women between 15 and 49 years with a live birth in the last 12 months were invited to complete a questionnaire about MNH-related care and ENC. Prevalence of ENC was calculated for all births and disaggregated by place of birth. Adjusted prevalence differences (PD) were post-estimated from logistic regression models on the effect of place of birth on ENC. Findings: All 79 rural communities with a population of 14,474 were censused. Among 324 (>99%) women interviewed, 70% gave birth at home, most (93%) without skilled birth assistance. Among all births, prevalence was lowest for immediate skin-to-skin contact (24%), colostrum feeding (47%), and early breastfeeding (64%). ENC was consistently lower in home compared to facility births. After adjusting for confounders, largest PD were found for immediate skin-to-skin contact (50% [95% CI: 38-62]), colostrum feeding (26% [16-36]), and clean cord care (23% [14-32]). ENC prevalence in facilities ranged between 58 and 93%; delayed bathing was lower compared to home births (-19% [-31 to -7]). Interpretation: Low prevalence of ENC practices among home births in a setting with high neonatal mortality and difficult access to quality care in facilities suggests potential for a community-based intervention to promote ENC practices at home, along with promotion of healthcare seeking and simultaneous strengthening of routine facility care. Funding: Grand Challenges Canada and Peruvian National Council of Science, Technology, and Technology Innovation.

The impact of the COVID-19 pandemic on trends in stillbirths, under-5 and maternal mortality in Brazil: Excess deaths and regional inequalities.

Background: Despite the proliferation of studies on the impact of the coronavirus disease 2019 (COVID-19) pandemic, there is less evidence on the indirect death toll compared to the health system and service provision disruptions. We assessed the impact of the COVID-19 pandemic on national and regional trends and differences in stillbirths, under-5 and maternal deaths in Brazil. Methods: We used the nationwide routine health information system data from January 2017 to December 2021, to which we applied descriptive and advanced mixed effects ordinary least squared regression models to measure the percent change in mortality levels during the COVID-19 pandemic (March 2020 to December 2021). We carried out counterfactual analyses comparing the observed and expected mortality levels for each type of mortality at national and regional levels. Results: Stillbirths increased 4.8% (3.1% in 2020 and 6.2% in 2021) and most noticeably maternal deaths increased 71.6% (35.3% in 2020 and 103.3% in 2021) over the COVID-19 period. An opposite pattern was observed in under-5 mortality, which dropped -10.2% (-12.5% in 2020 and -8.1% in 2021). We identified regional disparities, with a higher percent increase in stillbirths observed in the Central-West region and in maternal deaths in the South region. Discussion: Based on pre-pandemic trends and expected number of deaths in the absence of the COVID-19, we observed increases in stillbirths and maternal deaths and reductions in under-5 deaths during the pandemic. The months with the highest number of deaths (stillbirths and maternal deaths) coincided with the months with the highest mortality from COVID-19. The increase in deaths may also have resulted from indirect effects of the pandemic, such as unavailability of health services or even reluctance to go to the hospital when necessary due to fear of contagion. Conclusions: In Brazil, the COVID-19 outbreak and subsequent restrictions had a detrimental impact on stillbirths and maternal deaths. Even before the pandemic, mortality trends highlighted pre-existing regional inequalities in the country's health care system. Although there were some variations, increases were observed in all regions, indicating potential weaknesses in the health system and inadequate management during the pandemic, particularly concerning pregnant and postpartum women.

Effect of the Mamás del Río programme on essential newborn care: a three-year before-and-after outcome evaluation of a community-based, maternal and neonatal health intervention in the Peruvian Amazon.

Background: Despite remarkable progress in maternal and neonatal health, regional inequalities persist in Peru. In rural areas of Amazonian Loreto, access to quality care is difficult, home births are frequent, and neonatal mortality is high. We conducted a prospective before-and-after study to assess the effect after implementation and over time of a community-based intervention on essential newborn care (ENC). Methods: Mamás del Río consists of tablet-enhanced educational home visits by Community health workers (CHW) to pregnant women and mothers of newborns, with supportive training on ENC of traditional birth attendants and facility staff. The study area comprised 79 rural communities of three districts in Loreto. Primary outcomes were ENC practices in home births, secondary outcomes were ENC in facility births as well as healthcare seeking, measured at baseline before and at year 2 and year 3 after intervention implementation. Community censuses included questionnaires to women aged 15-49 years with a live birth. We calculated prevalence of outcomes at each time point and estimated adjusted prevalence differences (PD) between time points using post-estimation based on logistic regression. Findings: Following implementation early 2019, 97% of communities had a trained CHW. At year 2 follow-up, 63% (322/530) of women received a CHW visit during pregnancy. Seven out of nine ENC indicators among home births improved, with largest adjusted prevalence differences in immediate skin-to-skin contact (50% [95% CI: 42-58], p < 0.0001), colostrum feeding (45% [35-54], p < 0.0001), and cord care (19% [10-28], p = 0.0001). Improvements were maintained at year 3, except for cord care. At year 2, among facility births only three ENC indicators improved, while more women gave birth in a facility. Sensitivity analyses showed ENC prevalence was similar before compared to after onset of Covid-19 lockdown. Interpretation: ENC practices in home births improved consistently and changes were sustained over time, despite the onset of the Covid-19 pandemic. A community-based approach for behaviour-change in home-based newborn care appears effective. Process evaluation of mechanisms will help to explain observed effects and understand transferability of findings. Funding: Grand Challenges Canada and Peruvian National Council of Science and Technology.

A comprehensive analysis of cardiovascular mortality trends in Peru from 2017 to 2022: Insights from 183,386 deaths of the national death registry.

Background/objectives: Cardiovascular diseases are the leading cause of global mortality. Systematic studies on cardiovascular-related mortality at national and subnational levels in Peru are lacking. We aimed to describe the trends in cardiovascular-related mortality between 2017 and 2022 in Peru at national and subnational levels and by socioeconomic indicators. Subjects/methods: We used data from the Peruvian death registry 2017-2022. Using ICD-10 codes, mortality was categorized into: hypertensive-, coronary-, and cerebrovascular- related deaths. We estimated age-standardized cardiovascular-related mortality rates by sex at national and regional levels, and by natural regions (Coast, Highlands, Amazon). We estimated the change in mortality rates between 2017-2019 and 2020-2022 and explored factors that contributed to such a change. We explored ecological relationships between mortality rates and socioeconomic indicators. Findings: Overall 183,386 cardiovascular-related deaths were identified. Coronary-related deaths (37.2 %) were followed by hypertensive-related (25.1 %) and cerebrovascular-related deaths (22.6 %). Peru showed a marked increasing trend in cardiovascular-related mortality in 2020-2022 (77.8 %). The increase clustered in the Coast and Highlands, with the highest change observed in Lima (132.1 %). Mortality was highest in subjects with lower education and subjects with public health insurance. Gini coefficient was associated with lower mortality rates while unemployment was associated with higher mortality rates. Interpretation: There was a notable rise in cardiovascular-related mortality in Peru, particularly during the Covid-19 pandemic with a slight decrease in 2022. Gaining a comprehensive understanding of the factors that contribute to the increase in cardiovascular deaths in Peru will facilitate the development of precise interventions at both the national and regional levels.