Evidence map›Paper›PMID 40078062›Full record

ArticleInternational journal of qualitative studies on health and well-being2025

"From my life, she will never be gone, even though she is no longer here" - a single case interpretative phenomenological analysis on spousal loss and resilience.

Chloe Beeris, Alistair Niemeijer, Rob Bisseling, Anja Machielse

Abstract read
In one paragraph

Article in International journal of qualitative studies on health and well-being, 2025. 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

4 authors.

Chloe BeerisHumanism and Social Resilience, University of Humanistic Studies (UvH), Utrecht, The Netherlands.ORCID 0000-0002-2848-1550
Alistair NiemeijerCare Ethics and Policy, University of Humanistic Studies (UvH), Utrecht, The Netherlands.
Rob BisselingIndependent Scholar, Stichting Erwelzijn, Deventer.
Anja MachielseHumanism and Social Resilience, University of Humanistic Studies (UvH), Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older people often face drastic life events, such as spousal loss, that profoundly affect their daily lives. Consequently, resilience-how one navigates life's changes to avoid further adverse outcomes-is increasingly relevant in ageing studies. Although understanding older adults' resilience is key to preventing adverse outcomes, the complexity of loss-related events and everyday resilience in later life is underexplored from a process-based perspective. This study employs an Interpretative Phenomenological Analysis (IPA) case study of one individual to investigate resilience in response to spousal loss from a process-based perspective. Four interviews were conducted with this one participant and data was analysed following IPA guidelines. Findings indicate how resilience, in this case, resembles a process of continuous adaptation and renewal or "bouncing forward", in the face of diverse adversities, as written by Bourbeau. This study enriches our understanding of the process-based perspective on resilience, which is essential for concretely defining resilience and its practical application.

Indexed as

Adaptation, PsychologicalAgingBereavementLife Change EventsResilience, PsychologicalSpousesWidowhoodAgedFemaleHumansInterviews as TopicQualitative ResearchAgeingcase studyinterpretative phenomenological analysisResiliencespousal loss

Identifiers

PMID40078062
PMCPMC11912240

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.