7 research outputs found
New Antenatal Model in Africa and India (NAMAI) study: implementation research to improve antenatal care using WHO recommendations
Background: In 2020, an estimated 287 000 women died globally from pregnancyârelated causes and 2 million babies were stillborn. Many of these outcomes can be prevented by quality healthcare during pregnancy and childbirth. Within the continuum of maternal health, antenatal care (ANC) is a key moment in terms of contact with the health system, yet it remains an underutilized platform. This paper describes the protocol for a study conducted in collaboration with Ministries of Health and country research partners that aims to employ implementation science to systematically introduce and test the applicability of the adapted WHO ANC package in selected sites across four countries. Methods: Study design is a mixed methods stepped-wedge cluster randomized implementation trial with a nested cohort component (in India and Burkina Faso). The intervention is composed of two layers: (i) the country- (or state)-specific ANC package, including evidence-based interventions to improve maternal and newborn health outcomes, and (ii) the co-interventions (or implementation strategies) to help delivery and uptake of the adapted ANC package. Using COM-B model, co-interventions support behaviour change among health workers and pregnant women by (1) training health workers on the adapted ANC package and ultrasound (except in India), (2) providing supplies, (3) conducting mentoring and supervision and (4) implementing community mobilization strategies. In Rwanda and Zambia, a fifth strategy includes a digital health intervention. Qualitative data will be gathered from health workers, women and their families, to gauge acceptability of the adapted ANC package and its components, as well as experience of care. The implementation of the adapted ANC package of interventions, and their related costs, will be documented to understand to what extent the co-interventions were performed as intended, allowing for iteration. Discussion: Results from this study aim to build the global evidence base on how to implement quality ANC across different settings and inform pathways to scale, which will ultimately lead to stronger health systems with better maternal and perinatal outcomes. On the basis of the study results, governments will be able to adopt and plan for national scale-up, aiming to improve ANC nationally. This evidence will inform global guidance. Trial registration number: ISRCTN, ISRCTN16610902. Registered 27 May 2022. https://www.isrctn.com/ISRCTN16610902
Vulnerable newborn types: analysis of subnational, population-based birth cohorts for 541 285 live births in 23 countries, 2000â2021
Objective: To examine prevalence of novel newborn types among 541 285 live births in 23 countries from 2000 to 2021. Design: Descriptive multi-country secondary data analysis. Setting: Subnational, population-based birth cohort studies (n = 45) in 23 low- and middle-income countries (LMICs) spanning 2000â2021. Population: Liveborn infants. Methods: Subnational, population-based studies with high-quality birth outcome data from LMICs were invited to join the Vulnerable Newborn Measurement Collaboration. We defined distinct newborn types 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 [<2500 g], nonLBW) as ten types (using all three outcomes), six types (by excluding the birthweight categorisation), and four types (by collapsing the AGA and LGA categories). We defined small types as those with at least one classification of LBW, PT or SGA. We presented study characteristics, participant characteristics, data missingness, and prevalence of newborn types by region and study. Results: Among 541 285 live births, 476 939 (88.1%) had non-missing and plausible values for gestational age, birthweight and sex required to construct the newborn types. The median prevalences of ten types across studies were T+AGA+nonLBW (58.0%), T+LGA+nonLBW (3.3%), T+AGA+LBW (0.5%), T+SGA+nonLBW (14.2%), T+SGA+LBW (7.1%), PT+LGA+nonLBW (1.6%), PT+LGA+LBW (0.2%), PT+AGA+nonLBW (3.7%), PT+AGA+LBW (3.6%) and PT+SGA+LBW (1.0%). The median prevalence of small types (six types, 37.6%) varied across studies and within regions and was higher in Southern Asia (52.4%) than in Sub-Saharan Africa (34.9%). Conclusions: Further investigation is needed to describe the mortality risks associated with newborn types and understand the implications of this framework for local targeting of interventions to prevent adverse pregnancy outcomes in LMICs.The Children's Investment Fund Foundation, grant 2004-04670. The funders had no role in the study design, data collection, analysis or interpretation of the paper
Vulnerable newborn types: analysis of subnational, population-based birth cohorts for 541â285 live births in 23Â countries, 2000-2021.
OBJECTIVE: To examine prevalence of novel newborn types among 541â285 live births in 23 countries from 2000 to 2021. DESIGN: Descriptive multi-country secondary data analysis. SETTING: Subnational, population-based birth cohort studies (nâ=â45) in 23 low- and middle-income countries (LMICs) spanning 2000-2021. POPULATION: Liveborn infants. METHODS: Subnational, population-based studies with high-quality birth outcome data from LMICs were invited to join the Vulnerable Newborn Measurement Collaboration. We defined distinct newborn types 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 [<2500âg], nonLBW) as ten types (using all three outcomes), six types (by excluding the birthweight categorisation), and four types (by collapsing the AGA and LGA categories). We defined small types as those with at least one classification of LBW, PT or SGA. We presented study characteristics, participant characteristics, data missingness, and prevalence of newborn types by region and study. RESULTS: Among 541â285 live births, 476â939 (88.1%) had non-missing and plausible values for gestational age, birthweight and sex required to construct the newborn types. The median prevalences of ten types across studies were T+AGA+nonLBW (58.0%), T+LGA+nonLBW (3.3%), T+AGA+LBW (0.5%), T+SGA+nonLBW (14.2%), T+SGA+LBW (7.1%), PT+LGA+nonLBW (1.6%), PT+LGA+LBW (0.2%), PT+AGA+nonLBW (3.7%), PT+AGA+LBW (3.6%) and PT+SGA+LBW (1.0%). The median prevalence of small types (six types, 37.6%) varied across studies and within regions and was higher in Southern Asia (52.4%) than in Sub-Saharan Africa (34.9%). CONCLUSIONS: Further investigation is needed to describe the mortality risks associated with newborn types and understand the implications of this framework for local targeting of interventions to prevent adverse pregnancy outcomes in LMICs
Applying the strategic health purchasing progress tracking framework: lessons from nine African countries
The Strategic Purchasing Africa Resource Center (SPARC) developed a framework for tracking strategic purchasing that uses a functional and practical approach to describe, assess, and strengthen purchasing to facilitate policy dialogue within countries. This framework was applied in nine African countries to assess their progress on strategic purchasing. This paper summarizes overarching lessons from the experiences of the nine countries. In each country, researchers populated a Microsoft Excel-based matrix using data collected through document reviews and key informant interviews conducted between September 2019 and March 2021. The matrix documented governance arrangements; core purchasing functions (benefits specification, contracting arrangements, provider payment, and performance monitoring); external factors affecting purchasing; and results attributable to the implementation of these purchasing functions. SPARC and its partners synthesized information from the country assessments to draw lessons applicable to strategic purchasing in Africa. All nine countries have fragmented health financing systems, each with distinct purchasing arrangements. Countries have made some progress in specifying a benefit package that addresses the health needs of the most vulnerable groups and entering into selective contracts with mostly private providers that specify expectations and priorities. Progress on provider payment and performance monitoring has been limited. Overall, progress on strategic purchasing has been limited in most of the countries and has not led to large-scale health system improvements because of the persistence of out-of-pocket payments as the main source of health financing and the high degree of fragmentation, which limits purchasing power to allocate resources and incentivize providers to improve productivity and quality of care
Recommended from our members
Model fidelity of group antenatal and postnatal care: a process analysis of the first implementation of this innovative service model by the Preterm Birth Initiative-Rwanda.
Background: For a large trial of the effect of group antenatal care on perinatal outcomes in Rwanda, a Technical Working Group customized the group care model for implementation in this context. This process analysis aimed to understand the degree of fidelity with which the group antenatal care model was implemented during the trial period. Methods: We used two discreet questionnaires to collect data from two groups about the fidelity with which the group antenatal care model was implemented during this trial period. Group care facilitators recorded descriptive data about each visit and self-assessed process fidelity with a series of yes/no checkboxes. Master Trainers assessed process fidelity with an 11-item tool using a 5-point scale of 0 (worst) to 4 (best). Results: We analyzed 2763 questionnaires completed by group care facilitators that documented discreet group visits among pregnant and postnatal women and 140 questionnaires completed by Master Trainers during supervision visits. Data recorded by both groups was available for 84 group care visits, and we compared these assessments by visit. Approximately 80% of all group visits were provided as intended, with respect to both objective measures (e.g. group size) and process fidelity. We did not find reliable correlations between conceptually-related items scored by Master Trainers and self-assessment data reported by group visit facilitators. Conclusions: We recommend both the continued participation of expert observers at new and existing group care sites and ongoing self-assessment by group care facilitators. Finally, we present two abbreviated assessment tools developed by a Rwanda-specific Technical Working Group that reviewed these research results
Vulnerable newborn types: analysis of subnational, populationâbased birth cohorts for 541 285 live births in 23 countries, 2000â2021
Setting: Subnational, population-based
birth cohort studies (n = 45) in 23 low-and
middle-income
countries (LMICs) spanning 2000â2021.
Population: Liveborn infants.
Methods: Subnational, population-based
studies with high-quality
birth outcome
data from LMICs were invited to join the Vulnerable Newborn Measurement
Collaboration. We defined distinct newborn types 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 [<2500 g], non-
LBW) as ten types (using all three outcomes), six types (by excluding the birthweight
categorisation), and four types (by collapsing the AGA and LGA categories). We defined
small types as those with at least one classification of LBW, PT or SGA. We
presented study characteristics, participant characteristics, data missingness, and
prevalence of newborn types by region and study.
Results: Among 541 285 live births, 476 939 (88.1%) had non-missing
and plausible
values for gestational age, birthweight and sex required to construct the newborn
types. The median prevalences of ten types across studies were T+AGA+nonLBW
(58.0%), T+LGA+nonLBW (3.3%), T+AGA+LBW (0.5%), T+SGA+nonLBW
(14.2%), T+SGA+LBW (7.1%), PT+LGA+nonLBW (1.6%), PT+LGA+LBW (0.2%),
PT+AGA+nonLBW (3.7%), PT+AGA+LBW (3.6%) and PT+SGA+LBW (1.0%). The
median prevalence of small types (six types, 37.6%) varied across studies and within
regions and was higher in Southern Asia (52.4%) than in Sub-Saharan
Africa (34.9%).
Conclusions: Further investigation is needed to describe the mortality risks associated
with newborn types and understand the implications of this framework for local
targeting of interventions to prevent adverse pregnancy outcomes in LMICs
Vulnerable newborn types: analysis of subnational, populationâbased birth cohorts for 541 285 live births in 23 countries, 2000â2021
Objective: To examine prevalence of novel newborn types among 541â285 live births in 23 countries from 2000 to 2021. Design: Descriptive multi-country secondary data analysis. Setting: Subnational, population-based birth cohort studies (nâ=â45) in 23 low- and middle-income countries (LMICs) spanning 2000â2021. Population: Liveborn infants. Methods: Subnational, population-based studies with high-quality birth outcome data from LMICs were invited to join the Vulnerable Newborn Measurement Collaboration. We defined distinct newborn types 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 [<2500âg], nonLBW) as ten types (using all three outcomes), six types (by excluding the birthweight categorisation), and four types (by collapsing the AGA and LGA categories). We defined small types as those with at least one classification of LBW, PT or SGA. We presented study characteristics, participant characteristics, data missingness, and prevalence of newborn types by region and study. Results: Among 541â285 live births, 476â939 (88.1%) had non-missing and plausible values for gestational age, birthweight and sex required to construct the newborn types. The median prevalences of ten types across studies were T+AGA+nonLBW (58.0%), T+LGA+nonLBW (3.3%), T+AGA+LBW (0.5%), T+SGA+nonLBW (14.2%), T+SGA+LBW (7.1%), PT+LGA+nonLBW (1.6%), PT+LGA+LBW (0.2%), PT+AGA+nonLBW (3.7%), PT+AGA+LBW (3.6%) and PT+SGA+LBW (1.0%). The median prevalence of small types (six types, 37.6%) varied across studies and within regions and was higher in Southern Asia (52.4%) than in Sub-Saharan Africa (34.9%). Conclusions: Further investigation is needed to describe the mortality risks associated with newborn types and understand the implications of this framework for local targeting of interventions to prevent adverse pregnancy outcomes in LMICs