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Record W4385429087 · doi:10.46743/2160-3715/2023.5909

Omani Families Caring for a Member with Mental Illness: A Descriptive Qualitative Study

2023· article· en· W4385429087 on OpenAlexaff
Khaldoun Aldiabat, Enam Alsrayheen, Muna Alshammari, Carole-Lynne Le Navenec, Odette Griscti

Bibliographic record

VenueThe Qualitative Report · 2023
Typearticle
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsUniversity of CalgaryCape Breton Regional HospitalNova Scotia Health AuthorityCape Breton University
FundersSultan Qaboos University
KeywordsDenialMental illnessQualitative researchFamily memberPsychologyNursingMentally illPsychological interventionDescriptive researchEmpathyContent analysisFamily caregiversFamily centered careTheme (computing)PsychiatryMedicineMental healthFamily medicineHealth carePsychotherapist

Abstract

fetched live from OpenAlex

The aim of this qualitative descriptive study was to gain an in depth understanding and knowledge regarding how Omani families care for a member with mental illness including how they supported the later in self-care activities. Data was collected from participants using a purposive sample consisting of ten family caregivers whose member was in Sultan Qaboos University Hospital in Muscat. Each caregiver participated in one semi-structured interview. The interviews were analyzed using qualitative content analysis. The findings included two major themes: The first theme was “caring and empowering with empathy, love, and understanding.” The second theme was “self-denial and giving without limitations.” In conclusion, Omani family caregivers for a mentally ill family member provided optimum level of care to help and empower their family members to manage the mental illness. However, in so doing, those caregivers denied and neglected themselves for taking care of their mentally ill members. Several appropriate clinical interventions and policies are needed to support those family caregivers, to create a situation recently referred to as becoming “care partners.”

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.184
GPT teacher head0.493
Teacher spread0.308 · 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.

Study designQualitative
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

Citations4
Published2023
Admission routes1
Has abstractyes

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