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Record W2560090119 · doi:10.1017/brimp.2016.26

Emotional Burden, Quality of Life, and Coping Styles in Care Givers of Patients with Disorders of Consciousness Living in Italy: Preliminary Data

2016· article· en· W2560090119 on OpenAlexaff
Caterina Romaniello, Chiara Simoni, Marina Farinelli, Erik Bertoletti, Vincenzo Pedone, Georg Northoff

Bibliographic record

VenueBrain Impairment · 2016
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychological interventionNormativeCoping (psychology)Mental healthPsychologyClinical psychologyQuality of life (healthcare)MedicinePsychiatry

Abstract

fetched live from OpenAlex

The literature about the care givers of patients with Disorders of Consciousness (DOCs) has highlighted the impact on both mental and physical dimensions of quality of life. This study aimed to: (1) describe emotional burden, quality of life, and coping styles in care givers of hospitalized patients with DOCs, compared to Italian normative data; (2) explore the relationships between these variables and their associations with socio-demographic features; and (3) describe their changes over time. Fifteen care givers of patients with DOCs, mostly middle-aged women, were assessed using the Family Strain Questionnaire, the SF-36 Health Survey, and the Coping Orientation to Problems Experienced – Nuova Versione Italiana. Eleven subjects were also assessed after 6 and 12 months. Data were analysed through descriptive statistics, correlations, and nonparametric tests of group differences. Compared to the Italian normative data, our sample showed a worse outcome in mental health, social functioning, global mental component, and emotional role functioning. Furthermore, subjects with high emotional burden had more thoughts of death compared to subjects with low emotional burden. Follow-up analyses revealed no variables changed over time. These results highlight the need for psychological interventions and support, since care givers represent an important part of an all-embracing support and care network for patients with DOCs.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.325
Teacher spread0.285 · 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 teacher head, 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

Citations7
Published2016
Admission routes1
Has abstractyes

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