Evidence map›Paper›PMID 39430444›Full record

ArticleHeliyon2024

Unveiling the silent suffering: Examining the complexities of disclosure and concealment strategies in women living with obstetric fistula.

Sandra Freda Wood, Ebenezer Ato Kwamena Aidoo, Kweku Ewusie Orleans Lindsay, Jessica Afful Tuleassi, Frank Nukunu, Cindy Afoakwa-Acheampong

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sandra Freda WoodHugh Downs School of Human Communication, Arizona State University, Tempe, USA.
Ebenezer Ato Kwamena AidooCommunication Studies Department, University of Iowa, Iowa City, USA.
Kweku Ewusie Orleans LindsayNursing and Midwifery Training College, Cape Coast, Ghana.
Jessica Afful TuleassiHubbard School of Journalism and Mass Communication, University of Minnesota, Twin Cities USA.
Frank NukunuNursing and Midwifery Training College, Cape Coast, Ghana.
Cindy Afoakwa-AcheampongBrian Lamb School of Communication, Purdue University, West Lafayette USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstetric Fistula (OF), one of the tragic birth injuries in developing countries, overwhelms women living with this condition with multifaceted effects. Although concealing has been justified in some studies, revealing is also encouraged. Such uncertainty leaves women in a loop of tension in managing the disclosure or non-disclosure of their diagnosis. They resort to several strategies to manage their private information. Using Communication Privacy Management (CPM) Theory, this study documents the disclosure or non-disclosure strategies that women living with OF adopt to manage their diagnosis information. Data was derived from semi-structured interviews conducted with 19 women either living with OF presently or have lived with it before. The thematic analysis yielded categories of who, when, what, and how. These categories were further subdivided into nine specific practices or strategies for revealing. However, the categories under the non-disclosure focused on only who and how, where four themes emerged. This study has both practical and theoretical significance by identifying disclosure and non-disclosure intervention strategies useful for providing relief for women diagnosed with OF.

Indexed as

Communication privacy management (CPM)Disclosure/non-disclosureGhana/AfricaObstetric fistulaStrategies

Identifiers

PMID39430444
PMCPMC11489373

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.