Evidence map›Paper›PMID 38491353›Full record

ArticleBMC women's health2024

Women's decision process when actively choosing to 'go flat' after breast cancer: a constructivist grounded theory study.

Anna Paganini, Linda Myrin Westesson, Emma Hansson, Susanne Ahlstedt Karlsson

Abstract read
In one paragraph

Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 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

4 authors.

Anna PaganiniRegion Västra Götaland, Department of Plastic and Reconstructive Surgery, Sahlgrenska University hospital, Gothenburg, Sweden. anna.paganini@gu.se.ORCID 0000-0001-7043-0063
Linda Myrin WestessonSahlgrenska Academy, Institution for Health and Care Sciences at Gothenburg University, Gothenburg, Sweden.ORCID 0000-0002-9613-8084
Emma HanssonRegion Västra Götaland, Department of Plastic and Reconstructive Surgery, Sahlgrenska University hospital, Gothenburg, Sweden.ORCID 0000-0002-3218-0881
Susanne Ahlstedt KarlssonSahlgrenska Academy, Institution for Health and Care Sciences at Gothenburg University, Gothenburg, Sweden.ORCID 0000-0001-5436-5476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to describe a conceptual model that could illuminate the decision process women go through when choosing to go flat on one or both sides due to breast cancer.

methodsA qualitative design, with constructivist grounded theory was used. Eighteen women were individually interviewed, digitally or by telephone, until saturation was reached. Data were analysed using a constant comparative iterative method in accordance with grounded theory. By examining the text data to identify the decision process for going flat and rejecting reconstructive surgery open coding was obtained. As the study proceeded patterns were explored and categories developed into a core category.

resultsThe overall decision process for women choosing to go flat on one or both sides emerged in three phases: Phase 1, where the women are forced to "Face the cancer", Phase 2 comprising "Reflections on health and motivation" and Phase 3, described as "Hobson's choice". The fundament of the decision process was found in the core category "Establishing and safeguarding the chosen self".

conclusionsThe decision process involved in actively going flat and rejecting reconstructive surgery is founded in the individual woman's motivations, such as view of femininity and apprehensions about the offered reconstructive surgery.

Indexed as

Breast NeoplasmsPlastic Surgery ProceduresAnxietyDecision MakingFemaleGrounded TheoryHumansBreast cancerBreast reconstructionDecision makingFlat closureGrounded theoryMastectomyPatient experience

Identifiers

PMID38491353
PMCPMC10941362

What OpenQuestion holds

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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.