Evidence map›Paper›PMID 36033055›Full record

ArticleFrontiers in psychology2022

Conceptualising the separation from an abusive partner as a multifactorial, non-linear, dynamic process: A parallel with Newton's laws of motion.

Daniela Di Basilio, Fanny Guglielmucci, Maria Livanou

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Article in Frontiers in psychology, 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Daniela Di BasilioDepartment of Psychology, Faculty of Health and Education, Manchester Metropolitan University, Manchester, United Kingdom.
Fanny GuglielmucciDepartment of Philosophy, Communication, and Performing Arts, Roma Tre University, Rome, Italy.
Maria LivanouDepartment of Psychology, Faculty of Health and Education, Manchester Metropolitan University, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study focused on the dynamics and factors underpinning domestic abuse (DA) survivors' decisions to end the abusive relationship. The experiences and opinions of 12 female DA survivors and 18 support workers were examined through in-depth, one-to-one, semi-structured interviews. Hybrid thematic analysis was conducted to retrieve semantic themes and explore relationships among the themes identified and the differences in survivors' and professionals' narratives of the separation process. The findings highlighted that separation decisions derived from the joint action of two sets of factors, the "promoters" and the "accelerators." Whilst the "promoters" are factors leading to the separation from the abuser over time, the "accelerators" bear a stronger and more direct connection with survivors' decision to end the abusive relationship. Despite their differences, both these factors acted as propelling forces, leading survivors to actively pursue the separation from the perpetrator. To portray the dynamic links among these factors, we propose a conceptualisation drawn from Newton's laws of motion. Our findings also highlighted important differences in the views of survivors and support workers, as the former conceived themselves as proactive in ending the abuse, whereas the latter described the leaving process as mainly led by authorities and services supporting survivors. This study has potential implications for research, policy and clinical practice, as it suggests that far from being a linear sequence of multiple stages, leaving an abusive relationship results from a complex interplay of factors that facilitate ("promoters") or drastically accelerate ("accelerators") the separation process. We argue that future research should aim at improving our current understanding of the subjective and situational factors that can act as "accelerators" or "promoters" for women's leaving decisions. Moreover, clinicians and policymakers should invest in creating interventions that aid victims to recognise and leverage promoters and accelerators, thus increasing their readiness to end the abuse.

Indexed as

domestic violenceleaving an abusive partnerpost-traumatic growthprofessionals supporting victimsseparationStages of Changeturning points

Identifiers

PMID36033055
PMCPMC9403895

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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.