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Record W4306178407 · doi:10.3917/rsi.149.0031

L’expérience des parents endeuillés participant à des groupes de soutien après un deuil périnatal : une synthèse thématique

2022· review· fr· W4306178407 on OpenAlexaff
Dominique Lalande, Andrée-Anne Desrosiers, Sabrina Zeghiche, Isabelle Landry, Francine de Montigny

Bibliographic record

VenueRecherche en soins infirmiers · 2022
Typereview
Languagefr
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Support groups play an essential role in caring for parents experiencing perinatal death and bereavement. However, there is very little data on the effectiveness of these services on their well-being. To better understand the experience of bereaved parents using support group services, a qualitative systematic review was conducted using Thomas and Harden’s method. Seven databases (MEDLINE, CINAHL, Scopus, PsycARTICLES, Cairn, Érudit, and Repère) were searched in October 2017 with an update in June 2021. A total of 16 studies were included and critically evaluated. The thematic synthesis made it possible to generate four analytical themes to describe parents’ experience according to the notion of spaces. The first theme refers to external space, i.e., the format of the support groups (virtual or face-to-face), and the other three themes reflect internal spaces, i.e., the functions of the groups (support, expression, and learning). This thematic synthesis confirms that participating in support groups benefits bereaved parents. It also offers possible solutions to improve the structure and accessibility of support groups.

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)0.018
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0080.011
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.478
GPT teacher head0.478
Teacher spread0.000 · 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 designQualitative
Domainnot available
GenreReview

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

Citations2
Published2022
Admission routes1
Has abstractyes

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