Evidence map›Paper›PMID 39533531›Full record

ArticleStudies in family planning2024

Estimating the Social Visibility of Abortions in Uganda and Ethiopia Using the Game of Contacts.

Margaret Giorgio, Solomon Shiferaw, Fredrick Makumbi, Assefa Seme, Simon Peter Sebina Kibira, Sarah Nabukeera, Selena Anjur-Dietrich, Mahari Yihdego, Niguse Tadele, Elizabeth Sully

Abstract read
In one paragraph

Article in Studies in family planning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Margaret GiorgioGuttmacher Institute, New York, NY, 10038, USA.ORCID 0000-0003-0006-9465
Solomon ShiferawDepartment of Reproductive Health and Health Service Management, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-7385-423X
Fredrick MakumbiSchool of Public Health, Makerere University, Kampala, Uganda.
Assefa SemeDepartment of Reproductive Health and Health Service Management, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Simon Peter Sebina KibiraSchool of Public Health, Makerere University, Kampala, Uganda.
Sarah NabukeeraSchool of Public Health, Makerere University, Kampala, Uganda.
Selena Anjur-DietrichBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21218, USA.
Mahari YihdegoDepartment of Reproductive Health and Health Service Management, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Niguse TadeleDepartment of Reproductive Health and Health Service Management, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-3765-3617
Elizabeth SullyGuttmacher Institute, New York, NY, 10038, USA.ORCID 0000-0002-0736-2237

Funding

An anonymous foundationDavid and Lucile Packard FoundationThe William and Flora Hewlett Foundation
6 · The paper itself

Abstract

Social network-based data collection methods that rely on third-party reporting have emerged as a promising approach for measuring abortion in restrictive settings. In order for these methods to accurately measure abortion incidence, they must also assess the visibility of abortions within social networks. Failure to do so may result in estimates affected by transmission bias, caused by imperfect knowledge of all abortions within one's social network. In this paper, we present exploratory research that uses respondent-driven sampling (RDS) and the game of contacts method to measure abortion visibility in four sites in Uganda and Ethiopia. We assess the existence of potential biases in the game of contacts estimate of abortion visibility in each site by conducting several internal and external validity tests. While these tests provided some promising results, other factors such as the representativeness of the RDS samples, direct versus indirect abortion knowledge transfers, and the generalizability of the study sites may have introduced biases into the final estimates of abortion visibility in this study. We conclude by making recommendations on how applications of this methodology could be improved to better estimate abortion-related transmission bias.

Indexed as

Abortion, InducedAdolescentAdultBiasData CollectionEthiopiaFemaleHumansPregnancySocial SupportUgandaYoung Adult

Identifiers

PMID39533531
PMCPMC11636778

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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.