Evidence map›Paper›PMID 36909928›Full record

ArticleSSM - population health2023

Unmet need and intention to use as predictors of adoption of contraception in 10 Performance Monitoring for Action geographies.

Dana Sarnak, Phil Anglewicz, Saifuddin Ahmed

Abstract read
In one paragraph

Article in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

3 authors.

Dana SarnakDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, USA.
Phil AnglewiczDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, USA.
Saifuddin AhmedDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determinants of fertility typically feature demand as the key motivation driver for contraceptive use. Yet relatively little is known about the extent to which demand for contraception predicts future contraceptive use, primarily due to the lack of longitudinal data that captures these measures at different time points. Two ways in which demand is often measured are unmet need and intention to use. Despite its intended use as a population measure, unmet need is commonly used in individual-level analyses and as a marker for individual-level demand for contraception. Few studies have assessed the extent to which unmet need predicts or reflects women's true latent demand as demonstrated by their future contraceptive use; the same is true for intention to use contraception in the future. We expand on previous research to assess whether and the degree to which unmet need and intention to use contraception predict adoption of contraception within a year, among nonusers in ten representative geographies using Performance Monitoring for Action (PMA) data. Findings show that in nine of ten sites, intention to use within a year was significantly associated with subsequent adoption, while in eight of ten sites, unmet need for spacing or limiting was not associated with adoption. Our results are important for programs as they try to identify true dynamic demand for contraception.

Indexed as

ContraceptionDemand for contraceptionFamily planningLongitudinalPanelsub-Saharan AfricaUnmet need for contraception

Identifiers

PMID36909928
PMCPMC9996096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.