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Record W2128067615 · doi:10.1017/s1041610206004339

Clinicians’ attitudes to spirituality in old age psychiatry

2006· article· en· W2128067615 on OpenAlexaboutno aff
Robert Lawrence, Julia H Head, Georgina Christodoulou, Biljana Andonovska, Samina Karamat, Anita Duggal, Jonathan Hillam, Sarah Eagger

Bibliographic record

VenueInternational Psychogeriatrics · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)SpiritualitySpiritual careMultidisciplinary approachMental healthPsychologyHealth careMedicineMental health carePastoral careNursingPsychiatryFamily medicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this survey is to investigate professional attitudes to the presence and value of spiritual care from Old Age Psychiatrists. METHOD: All registered members of the Faculty of the Psychiatry of Old Age in the United Kingdom were asked to complete a 21-question semi-structured questionnaire. The first mail shot took place in 2002 and the second mail shot to non-respondents in 2003. Quantitative and qualitative analyses were carried out on the answers received. RESULTS: The response rate was 46%. The majority of respondents (92%) recognize the importance of spiritual dimensions of care for older people with mental health needs and about a quarter of respondents appear to consider referring patients to the chaplaincy service. In contrast, integration of spiritual advisors within the assessment and management of individual cases is rare. CONCLUSIONS: Opinions vary as to whether provision of spiritual care should become widely available to older people with mental health needs who are admitted to hospital. Old age psychiatrists recognize that awareness of spiritual dimensions may be important for their patients. They seem less clear about the role of spiritual advisors and how NHS multidisciplinary clinical teams and spiritual and pastoral care services can be best integrated. Much work needs to be done on developing effective training and operational policies in this area.

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)0.002
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 score0.310
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.408
Teacher spread0.370 · 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

Citations26
Published2006
Admission routes1
Has abstractyes

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