Evidence map›Paper›PMID 36575489›Full record

ArticleReproductive health2022

Describing the safety of abortion at the population level using network-based survey approaches.

Clémentine Rossier, Onikepe Owolabi, Seni Kouanda, Martin Bangha, Caron R Kim, Bela Ganatra, Dennis Feehan, Casey Breen, Moussa Zan, Rachidatou Compaoré and 5 more

Abstract read
In one paragraph

Article in Reproductive health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

15 authors.

Clémentine RossierInstitute of Demography and Socioeconomics, University of Geneva, 40 Bd du Pont d'Arve, 1211, Geneva, Switzerland. clementine.rossier@unige.ch.ORCID http://orcid.org/0000-0003-2788-4718
Onikepe OwolabiGuttmacher Institute, New York, USA.
Seni KouandaIRSS, Ouagadougou, Burkina Faso.
Martin BanghaAPHRC, Nairobi, Kenya.
Caron R KimUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
Bela GanatraUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
Dennis FeehanUniversity of California, Berkeley, Berkeley, USA.
Casey BreenUniversity of California, Berkeley, Berkeley, USA.
Moussa ZanInstitute of Demography and Socioeconomics, University of Geneva, 40 Bd du Pont d'Arve, 1211, Geneva, Switzerland.
Rachidatou CompaoréIRSS, Ouagadougou, Burkina Faso.
Adama BaguiyaIRSS, Ouagadougou, Burkina Faso.
Ramatou OuédraogoAPHRC, Nairobi, Kenya.
Clement OduorAPHRC, Nairobi, Kenya.
Vincent BagnoaIRSS, Ouagadougou, Burkina Faso.
Sherine AtheroAPHRC, Nairobi, Kenya.

Funding

Dutch Ministry of Foreign Affairs #4000000282Swiss National Centre of Competence in Research LIVES - Overcoming vulnerability: Life course perspectives 51NF40-160590UK Aid from the UK Government 203177 -101UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP) ) WHO Registration 2017/730199-0World Health Organization 001
6 · The paper itself

Abstract

backgroundDespite the negative impact of unsafe abortions on women's health and rights, the degree of abortion safety remains strikingly undocumented for a large share of abortions globally. Data on how women induce abortions (method, setting, provider) are central to the measurement of abortion safety. However, health-facility statistics and direct questioning in population surveys do not yield representative data on abortion care seeking pathways in settings where access to abortion services is highly restricted. Recent developments in survey methodologies to study stigmatized / illegal behaviour and hidden populations rely on the fact that such information circulates within social networks; however, such efforts have yet to give convincing results for unsafe abortions.

objectiveThis article presents the protocol of a study whose purpose is to apply and develop further two network-based methods to contribute to the generation of reliable population-level information on the safety of abortions in contexts where access to legal abortion services is highly restricted.

methodsThis study plans to obtain population-level data on abortion care seeking in two Health and Demographic Surveillance Systems in urban Kenya and rural Burkina Faso by applying two methods: Anonymous Third-Party Reporting (ATPR) (also known as confidantes' method) and Respondent Driven Sampling (RDS). We will conduct a mixed methods formative study to determine whether these network-based approaches are pertinent in the study contexts. The ATPR will be refined notably by incorporating elements of the Network Scale-Up Method (NSUM) to correct or account for certain of its biases (transmission, barrier, social desirability, selection). The RDS will provide reliable alternative estimates of abortion safety if large samples and equilibrium can be reached; an RDS multiplex variant (also including social referents) will be tested. DISCUSSION: This study aims at documenting abortion safety in two local sites using ATPR and RDS. If successful, it will provide data on the safety profiles of abortion seekers across sociodemographic categories in two contrasted settings in sub-Saharan Africa. It will advance the formative research needed to determine whether ATPR and RDS are applicable or not in a given context. It will improve the questionnaire and correcting factors for the ATPR, improve the capacity of RDS to produce quasi-representative data on abortion safety, and advance the validation of both methods.

Indexed as

Abortion ApplicantsAbortion, InducedAbortion, LegalBurkina FasoFemaleHumansPregnancySurveys and QuestionnairesAbortion care seekingAnonymous third-party reporting methodConfidantes' methodHealth and demographic surveillance systemsNetwork-based survey methodsNetwork scale-up methodPopulation-based dataRespondent-driven samplingUnsafe abortion

Identifiers

PMID36575489
PMCPMC9795788

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.