Evidence map›Paper›PMID 32306969›Full record

ArticleReproductive health2020

Does women's age matter in the SDGs era: coverage of demand for family planning satisfied with modern methods and institutional delivery in 91 low- and middle-income countries.

Inacio Crochemore M da Silva, Fernanda Everling, Franciele Hellwig, Carine Ronsmans, Lenka Benova, Jennifer Requejo, Anita Raj, Aluisio J D Barros, Cesar G Victora

Abstract read
In one paragraph

Article in Reproductive health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  5. Article
  6. Institutional Delivery in the Philippines: Does a Minimum of 8 Antenatal Care Visits Matter?Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Inacio Crochemore M da SilvaInternational Center for Equity in Health, Post-graduate Program in Epidemiology, Federal University of Pelotas, Marechal Deodoro, 1160, Pelotas, RS, 96020-220, Brazil. icmsilva@equidade.org.ORCID https://orcid.org/0000-0001-5390-8360
Fernanda EverlingInternational Center for Equity in Health, Post-graduate Program in Epidemiology, Federal University of Pelotas, Marechal Deodoro, 1160, Pelotas, RS, 96020-220, Brazil.ORCID https://orcid.org/0000-0003-3668-7134
Franciele HellwigInternational Center for Equity in Health, Post-graduate Program in Epidemiology, Federal University of Pelotas, Marechal Deodoro, 1160, Pelotas, RS, 96020-220, Brazil.ORCID https://orcid.org/0000-0002-2509-9866
Carine RonsmansFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Lenka BenovaFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Jennifer RequejoHealth and HIV Division of Planning, Analysis and Monitoring, UNICEF, New York, NY, USA.
Anita RajCenter on Gender Equity and Health, Department of Medicine, University of California San Diego, San Diego, USA.
Aluisio J D BarrosInternational Center for Equity in Health, Post-graduate Program in Epidemiology, Federal University of Pelotas, Marechal Deodoro, 1160, Pelotas, RS, 96020-220, Brazil.ORCID https://orcid.org/0000-0002-2022-8729
Cesar G VictoraInternational Center for Equity in Health, Post-graduate Program in Epidemiology, Federal University of Pelotas, Marechal Deodoro, 1160, Pelotas, RS, 96020-220, Brazil.ORCID https://orcid.org/0000-0002-2465-2180

Funding

Bill & Melinda Gates Foundation OPP1148933Wellcome TrustWellcome Trust 101815/Z/13/Z
6 · The paper itself

Abstract

backgroundThe Sustainable Development Goals (SDGs) include specific targets for family planning (SDG 3.7) and birth attendance (SDG 3.1.2), and require analyses disaggregated by age and other dimensions of inequality (SDG 17.18). We aimed to describe coverage with demand for family planning satisfied with modern methods (DFPSm) and institutional delivery in low- and middle-income countries across the reproductive age spectrum. We attempted to identify a typology of patterns of coverage by age and compare their distribution according to geographic regions, World Bank income groups and intervention coverage levels.

methodsWe used Demographic and Health Survey and Multiple Indicator Cluster Surveys. For DFPSm, we considered the woman's age at the time of the survey, whereas for institutional delivery we considered the woman's age at birth of the child. Both age variables were categorized into seven groups of 5 year-intervals, 15-19 up to 45-49. Five distinct patterns were identified: (a) increasing coverage with age; (b) similar coverage in all age groups; (c) U-shaped; (d) inverse U-shaped; and (e) declining coverage with age. The frequency of the five patterns was examined according to UNICEF regions, World Bank income groups, and coverage at national level of the given indicator.

resultsWe analyzed 91 countries. For DFPSm, the most frequent age patterns were inverse U-shaped (53%, 47 countries) and increasing coverage with age (41%, 36 countries). Inverse-U shaped patterns for DFPSm was the commonest pattern among lower-middle income countries, while low- and upper middle-income countries showed a more balanced distribution between increasing with age and U-shaped patterns. In the first and second tertiles of national coverage of DFPSm, inverse U-shaped was observed in more than half of countries. For institutional delivery, declining coverage with age was the prevailing pattern (44%, 39 countries), followed by similar coverage across age groups (39%, 35 countries). Most (79%) upper-middle income countries showed no variation by age group while most low-income countries showed declining coverage with age (71%).

conclusionLarge inequalities in DFPSm and institutional delivery were identified by age, varying from one intervention to the other. Policy and programmatic approaches must be tailored to national patterns, and in most cases older women and adolescents will require special attention due to lower coverage and because they are at higher risk for maternal mortality and other poor obstetrical outcomes.

Indexed as

Delivery, ObstetricFamily Planning ServicesMaternal AgeMaternal Health ServicesPatient Acceptance of Health CareAdolescentAdultAge FactorsDeveloping CountriesFemaleHumansMiddle AgedPregnancySustainable DevelopmentYoung AdultAge patternsHealth inequalitiesReproductive healthSustainable development goals

Identifiers

PMID32306969
PMCPMC7168879

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.