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Record W2145791690 · doi:10.1136/bmjspcare-2011-000058

Paediatric palliative care: a survey of paediatricians and family practitioners

2012· article· en· W2145791690 on OpenAlexaff
Lynn Straatman, Tanice Miller

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2012
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsVancouver Native Health Society
Fundersnot available
KeywordsPalliative careMedicineFamily medicineNursingCoping (psychology)Psychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Paediatric palliative care focuses on the enhancement of the quality of life for a child and family through a combination of active and compassionate therapies intended to comfort and support the child and family who are living with a life-threatening illness. The purpose of this study was to assess the experience with and confidence in providing paediatric palliative care of practicing family/general practitioners (GPs) and paediatricians. In addition, the learning needs, modes of learning and their methods of coping/self-care were questioned. METHODS: Two hundred paediatricians and GPs in the province of British Columbia were randomly selected to participate in a mailed survey. The survey consisted of three categories: demographic information, experience and knowledge of paediatric palliative care, educational needs and preferences for learning and provision of their own self-care. RESULTS: The response rate of completed surveys was 56.5%. Only 40.1% of respondents felt their knowledge and experience were adequate. Overall, 73.5% of the respondents reported that they would like to learn more about paediatric palliative care. Over 53% of those surveyed preferred that learning be offered remotely through either internet or correspondence. Seventy-four per cent of respondents expressed they had adequate or very adequate self-care strategies to meet their own needs of well-being. CONCLUSIONS: The results of the survey will guide the paediatric palliative care community to design programmes that will better educate practicing physicians and future physicians about paediatric palliative and end of life care, healthcare services and family communication and support.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.380
Teacher spread0.313 · 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 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

Citations19
Published2012
Admission routes1
Has abstractyes

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