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Record W3037211237 · doi:10.1177/1359105320935986

Emotional distress among parent caregivers of adolescents with sickle cell disease: Association with patients and caregivers variables

2020· article· en· W3037211237 on OpenAlexaff
Ayodeji A. Bioku, Jude U. Ohaeri, Stephen O. Oluwaniyi, Tinuke O Olagunju, Gary Chaimowitz, Andrew T Olagunju

Bibliographic record

VenueJournal of Health Psychology · 2020
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychosocialDistressCoping (psychology)AttendanceDiseaseEmotional distressAnxietyCaregiver burdenClinical psychologyMedicinePsychological resiliencePsychologyPsychiatryGerontologyDementia

Abstract

fetched live from OpenAlex

Evidence suggests that impairment in caregiver wellbeing can alter the quality of care in children with sickle cell disease. We examined 121 parent caregivers of adolescents with sickle cell disease for emotional distress and disruptions to caregiver lifestyle and interests. Participants were predominantly mothers 92(76%) with mean age, 43.59 ( SD = 6.39) years. Four in every ten caregivers had emotional distress, and this was predicted by frequent hospital attendance and disruptions in caregiver lifestyle, relationships, and interests. Psychosocial support to promote resilience and adaptive coping-styles to deal with the stress from unforeseen crises, frequent hospital visits, and lifestyle disruptions are indicated to improve caregiver wellbeing.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.010
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.261
Teacher spread0.252 · 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

Citations31
Published2020
Admission routes1
Has abstractyes

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