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Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH).

ABSTRACT: Background:Globally, progress in Maternal and Child Health (MCH) has been inconsistent, with several evidence showing both between and within country disparities in several RMNCH outcome measures. In this study, we aim to meta-analyse existing literature on association between three major equity stratifiers and a selection of RMNCH indicators. Methods:We searched PubMed, Embase, Scopus databases and grey literatures from the WHO, UNICEF and World Bank publications. Using the PRISMA guidelines, we identified and reviewed studies from low and middle-income countries, that explored the effects of inequalities on RMNCH, with focus on studies that utilised data from a nationally representative survey. The review protocol was registered at the PROSPERO international prospective register of systematic reviews. Results:A total of 28 studies were included in the meta-analysis. Results revealed the existence of marked inequality based on income levels, education and place of residence. The most significant level of disparity was with regards to unmet need for contraception and antenatal coverage. For both respective indicators, those with secondary or higher education were 6 times more likely to have better coverage, than those with lesser level of education; (odds ratio (OR)?=?6.25 (95% confidence interval (CI)?=?1.68-23.23; I2?=?98%, P?=?0.006) and (OR?=?6.17 (95% CI?=?3.03-12.56; I2?=?97%, P?

SUBMITTER: Adegbosin AE

PROVIDER: S-EPMC6513502 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH).

Adegbosin Adeyinka E AE Zhou Hong H Wang Sen S Stantic Bela B Sun Jing J

Journal of global health 20190601 1

<h4>Background</h4>Globally, progress in Maternal and Child Health (MCH) has been inconsistent, with several evidence showing both between and within country disparities in several RMNCH outcome measures. In this study, we aim to meta-analyse existing literature on association between three major equity stratifiers and a selection of RMNCH indicators.<h4>Methods</h4>We searched PubMed, Embase, Scopus databases and grey literatures from the WHO, UNICEF and World Bank publications. Using the PRISM ...[more]

PMID: 31131102

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Project description:BackgroundReproductive, maternal, newborn, child health, and nutrition (RMNCH&N) data is an indispensable tool for program and policy decisions in low- and middle-income countries. However, being equipped with evidence doesn't necessarily translate to program and policy changes. This study aimed to characterize data visualization interpretation capacity and preferences among RMNCH&N Tanzanian program implementers and policymakers ("decision-makers") to design more effective approaches towards promoting evidence-based RMNCH&N decisions in Tanzania.MethodsWe conducted 25 semi-structured interviews in Kiswahili with junior, mid-level, and senior RMNCH&N decision-makers working in Tanzanian government institutions. We used snowball sampling to recruit participants with different rank and roles in RMNCH&N decision-making. Using semi-structured interviews, we probed participants on their statistical skills and data use, and asked participants to identify key messages and rank prepared RMNCH&N visualizations. We used a grounded theory approach to organize themes and identify findings.ResultsThe findings suggest that data literacy and statistical skills among RMNCH&N decision-makers in Tanzania varies. Most participants demonstrated awareness of many critical factors that should influence a visualization choice-audience, key message, simplicity-but assessments of data interpretation and preferences suggest that there may be weak knowledge of basic statistics. A majority of decision-makers have not had any statistical training since attending university. There appeared to be some discomfort with interpreting and using visualizations that are not bar charts, pie charts, and maps.ConclusionsDecision-makers must be able to understand and interpret RMNCH&N data they receive to be empowered to act. Addressing inadequate data literacy and presentation skills among decision-makers is vital to bridging gaps between evidence and policymaking. It would be beneficial to host basic data literacy and visualization training for RMNCH&N decision-makers at all levels in Tanzania, and to expand skills on developing key messages from visualizations.

Project description:BackgroundHousehold survey data are frequently used to measure reproductive, maternal, newborn, child and adolescent health (RMNCAH) service utilisation in low and middle income countries. However, these surveys are typically only undertaken every 5 years and tend to be representative of larger geographical administrative units. Investments in district health management information systems (DHMIS) have increased the capability of countries to collect continuous information on the provision of RMNCAH services at health facilities. However, reliable and recent data on population distributions and demographics at subnational levels necessary to construct RMNCAH coverage indicators are often missing. One solution is to use spatially disaggregated gridded datasets containing modelled estimates of population counts. Here, we provide an overview of various approaches to the production of gridded demographic datasets and outline their potential and their limitations. Further, we show how gridded population estimates can be used as alternative denominators to produce RMNCAH coverage metrics in combination with data from DHMIS, using childhood vaccination as examples.MethodsWe constructed indicators on the percentage of children one year old for diphtheria, pertussis and tetanus vaccine dose 3 (DTP3) and measles vaccine dose (MCV1) in Zambia and Nigeria at district levels. For the numerators, information on vaccines doses was obtained from each country's respective DHMIS. For the denominators, the number of children was obtained from 3 different sources including national population projections and aggregated gridded estimates derived using top-down and bottom-up geospatial methods.ResultsIn Zambia, vaccination estimates utilising the bottom-up approach to population estimation substantially reduced the number of districts with > 100% coverage of DTP3 and MCV1 compared to estimates using population projection and the top-down method. In Nigeria, results were mixed with bottom-up estimates having a higher number of districts > 100% and estimates using population projections performing better particularly in the South.ConclusionsGridded demographic data utilising traditional and novel data sources obtained from remote sensing offer new potential in the absence of up to date census information in the estimation of RMNCAH indicators. However, the usefulness of gridded demographic data is dependent on several factors including the availability and detail of input data.

Project description:Globally, increasing efforts have been made to hold duty-bearers to account for their commitments to improve reproductive, maternal, newborn, child and adolescent health (RMNCAH) over the past two decades, including via social accountability approaches: citizen-led, collective processes for holding duty-bearers to account. There have been many individual studies and several reviews of social accountability approaches but the implications of their findings to inform future accountability efforts are not clear. We addressed this gap by conducting a review of reviews in order to summarise the current evidence on social accountability for RMNCAH, identify factors contributing to intermediary outcomes and health impacts, and identify future research and implementation priorities. The review was registered with the International Prospective Register of Systematic Reviews (PROSPERO CRD42019134340). We searched eight databases and systematic review repositories and sought expert recommendations for published and unpublished reviews, with no date or language restrictions. Six reviews were analysed using narrative synthesis: four on accountability or social accountability approaches for RMNCAH, and two specifically examining perinatal mortality audits, from which we extracted information relating to community involvement in audits. Our findings confirmed that there is extensive and growing evidence for social accountability approaches, particularly community monitoring interventions. Few documented social accountability approaches to RMNCAH achieve transformational change by going beyond information-gathering and awareness-raising, and attention to marginalised and vulnerable groups, including adolescents, has not been well documented. Drawing generalisable conclusions about results was difficult, due to inconsistent nomenclature and gaps in reporting, particularly regarding objectives, contexts, and health impacts. Promising approaches for successful social accountability initiatives include careful tailoring to the social and political context, strategic planning, and multi-sectoral/multi-stakeholder approaches. Future primary research could advance the evidence by describing interventions and their results in detail and in their contexts, focusing on factors and processes affecting acceptability, adoption, and effectiveness.

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Dataset Information

Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH).

Publications

Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH).

Similar Datasets

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