Evidence map›Paper›PMID 34472623›Full record

ArticleStudies in family planning2021

Measuring Family Planning Provider Bias: A Discrete Choice Experiment among Burkinabé, Pakistani, and Tanzanian Providers.

Maria Dieci, Zachary Wagner, Willa Friedman, Sarah Burgess, Jessica Vandermark, Sandra I McCoy, Manisha Shah, William H Dow

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Studies in family planning, 2021. 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.

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  12. "Women's health (London, England)
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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

8 authors.

Maria DieciMaria Dieci, Sandra I. McCoy, William H. Dow are at the School of Public Health, University of California, Berkeley, Berkeley, CA, 94704, USA.ORCID 0000-0002-5364-8789
Zachary WagnerZachary Wagner is at the RAND Corporation, Santa Monica, CA, 90401, USA.
Willa FriedmanWilla Friedman is at the Department of Economics, University of Houston, Houston, TX, 77204, USA.
Sarah BurgessSarah Burgess, Jessica Vandermark are at the Camber Collective, San Francisco, CA, 94102, USA.
Jessica VandermarkSarah Burgess, Jessica Vandermark are at the Camber Collective, San Francisco, CA, 94102, USA.
Sandra I McCoyMaria Dieci, Sandra I. McCoy, William H. Dow are at the School of Public Health, University of California, Berkeley, Berkeley, CA, 94704, USA.
Manisha ShahManisha Shah is at the Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
William H DowMaria Dieci, Sandra I. McCoy, William H. Dow are at the School of Public Health, University of California, Berkeley, Berkeley, CA, 94704, USA.

Funding

INTERDISCIPLINARY TRAINING IN DEMOGRAPHYT32HD007275 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEEHAN, DENNIS MICHAEL · 1985 to 2025
$5.3M
AHRQ HHS T32 HS022241NICHD NIH HHS T32 HD007275
6 · The paper itself

Abstract

The unmet need for modern contraception remains high around the world, particularly for youth. While some of this unmet need is driven by limited health infrastructure and method mix availability, many adolescents who visit family planning providers still do not receive methods that fit their needs. This suggests that providers may be biased against youth and that interventions to change provider behavior could help close this gap. However, it is unclear if this bias is a result of age or other characteristics common among young women such as not being married and not having children. We use a discrete choice experiment in Burkina Faso, Pakistan, and Tanzania to disentangle the effects of age on providers' decisions to provide contraception from the effects of other potential confounding factors. We find that, although young women may experience the most bias, age is not the main driver. Rather, marital status and parity seem to influence provider decisions to offer services or counsel on modern methods. These findings suggest that interventions to reduce provider bias should focus on changing behavior towards unmarried and nulliparous women, regardless of their age.

Indexed as

Contraception BehaviorFamily Planning ServicesAdolescentChildContraceptionFemaleHumansPakistanPregnancyTanzania

Identifiers

PMID34472623
PMCPMC12063291

What OpenQuestion holds

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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.