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Record W4414180501 · doi:10.1192/j.eurpsy.2025.1986

Navigating Grief in Wartime: Needs Assessment and Help-Seeking Behaviors among Bereaved in Ukraine

2025· article· en· W4414180501 on OpenAlexaboutno aff
Iryna Leshchuk, But, Ye.S. Zelenko, Олена Хаустова, Олег Чабан, Iryna Frankova

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsGriefPsychoeducationComplicated griefQuarter (Canadian coin)Social supportTraumatic grief

Abstract

fetched live from OpenAlex

Introduction Traumatic losses are prevalent during armed conflicts and known to be a risk factor for prolonged grief disorder (Shevlin et al., 2024). Social support and psychoeducation are protective factors for prolonged grief disorder (Al-Gamal et al., 2018). Ukrainians are known to avoid seeking help or support after exposure to traumatic events (Quirke et al., 2021). Not much is known about help-seeking and supporting behavior following the loss of a loved one amidst the ongoing war in Ukraine. Objectives The aim of this exploratory study was to assess the experiences, needs, and help-seeking behavior of those in bereavement and those supporting them during the war in Ukraine. Methods An online questionnaire was designed by co-authors; data was collected in November 2023 via phone calls among users of the Opinion Internet panel by Factum Group Ukraine. Inclusion criteria were: a) Ukrainians aged 18-55; b) Internet users residing in Ukrainian cities with more than 50,000 residents before the full-scale invasion; c) those who currently live in Ukraine or abroad. The survey evaluated respondents’ experiences of enduring the loss of a loved one and supporting persons in grief after the full-scale invasion of Ukraine, as well as the need for support and information about the grieving process. Results Fifty-three percent of survey respondents (n=400) were female. A quarter of the respondents lost a loved one since February 24, 2022 (15% due to death, 14% due to violent death, 5% missing in action), while 9% refused to respond. Among those in bereavement, the majority (63%) reported that it was vital for them to better understand their own grief process. One-third reported the need for additional support in coping with the loss. One-fifth (21%) of those experiencing loss sought support as the experience became unbearable. Among those seeking professional care, there was a difference in the frequency of approaching different specialists. Twenty percent of the respondents reported that they did not seek help but were willing to. The majority of respondents (62%) reported supporting a person who experienced loss. However, only 49% of them felt confident enough to do so. The majority (82%) of respondents said that they considered it important to have information on ways to support loved ones in grief. Conclusions Despite the fact that a third of people required support and care while experiencing a loss, only 1 in 5 approached mental health professionals or other healthcare specialists. Half of those who wanted to support their loved ones did not feel confident enough. Raising awareness among the population about the process of coping with loss, normalizing seeking support, and providing possible options for supporting people in grief is of high importance for the people of Ukraine affected by the full-scale war. Disclosure of Interest None Declared

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.354
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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