Evidence map›Paper›PMID 36495077›Full record

ArticleStudies in family planning2022

Measurement of Unmet Need for Contraception: A Counterfactual Approach.

Mahesh Karra

Abstract read
In one paragraph

Article in Studies in family planning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Article
  4. Contraceptive Concordance.Studies in family planning · 2025
    Article
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  7. Article
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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

1 author.

Mahesh Karrais an Assistant Professor of Global Development Policy at the Frederick S. Pardee School of Global Studies, Boston University, 152 Bay State Road, Room G04C, Boston, MA, 02215, USA.ORCID 0000-0003-0962-092X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unmet need plays a critical role in reproductive health research, evaluation, and advocacy. Although conceptually straightforward, its estimation suffers from a number of methodological limitations, most notably its reliance on biased measures of women's stated fertility preferences. We propose a counterfactual-based approach to measuring unmet need at the population level. Using data from 56 countries, we calculate unmet need in a population as the difference between: (1) the observed contraceptive prevalence in the population; and (2) the calculated contraceptive prevalence in a subsample of women who are identified to be from "ideal" family planning environments. Women from "ideal" environments are selected on characteristics that signal their contraceptive autonomy and decision-making over family planning. We find significant differences between our approach and existing methods to calculating unmet need, and we observe variation across countries when comparing indicators. We argue that our indicator of unmet need is preferable to existing population-level indicators due to its independence from biases that are generated from the use of reported preference measures, the simplicity with which it can be derived, and its relevance for cross-country comparisons as well as context-specific analyses.

Indexed as

ContraceptionFamily Planning ServicesContraception BehaviorContraceptive AgentsFemaleFertilityHumansContraceptive Agents

Identifiers

PMID36495077
PMCPMC10107817

What OpenQuestion holds

Textmetadata
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.