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Record W2053328907 · doi:10.1089/jpm.2005.8.1005

Training of Palliative Medicine Fellows: A Report from the Field

2005· article· en· W2053328907 on OpenAlexaboutno aff
Sharon Carmody, Diane E. Meier, J. Andrew Billings, David E. Weissman, Robert M. Arnold

Bibliographic record

VenueJournal of Palliative Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsnot available
FundersAmerican Academy of Hospice and Palliative MedicineLadies Hospital Aid Society
KeywordsMedicinePalliative careFamily medicineMedical educationMEDLINETraining (meteorology)Nursing

Abstract

fetched live from OpenAlex

BACKGROUND: The escalating demand for palliative care physicians has led to the proliferation of postgraduate fellowship programs to train physicians in the United States and Canada. There is currently little data regarding the extent to which clinical, research, educational or administrative skills and competencies have been incorporated into fellowship training. OBJECTIVE: The survey aims were to describe: (1) fellows' interests and relative priorities for receiving training in the clinical, educational, research, and administrative aspects of palliative medicine; (2) quantity of training received in each area; (3) fellows' satisfaction with the teaching received in each area; (4) post-fellowship employment experiences. DESIGN: A survey was conducted via mail and in person, with e-mail utilized for reminders. SETTING/SUBJECTS: All palliative medicine fellows from the United States and Canada between 1997 and 2002 were surveyed. MEASUREMENTS: The survey instrument was based on a Health Resources Services Administration (HRSA) survey designed to assess research fellows' educational experiences and training satisfaction and modified to ensure sufficient focus on clinical, education, research and administrative activities; specific palliative medicine content was added. RESULTS: One hundred one fellows from 24 programs were identified; contact information was obtained from program directors for 89 fellows (88%). Sixty-seven valid surveys were received for a response rate of 75%; 22 programs (14 U.S., 8 Canadian, 92% of active fellowships) are represented. The vast majority of fellows (94%) identified clinical training as very important; 63% identified educational training as important and only few (33% and 21%, respectively) identified research or administrative training as very important. Fellows reported receiving less training on research and administrative topics than they did on clinical or educational topics. Sixty-eight percent of fellows reported spending 10% or less of their time on research activities, and subsequently fellows reported low levels of research competence. Fellows were very satisfied with their clinical training (mean rating = 4.51 on a 5-point scale), intermediately satisfied with their educational training (mean rating = 3.61) and less with their research (mean rating = 3.1) and administrative training (mean rating = 2.24). The largest proportion of fellows (73%) described their first post fellowship position as "clinician/educator" or "full time clinician"; only 14% were "clinician/researchers." CONCLUSION: Clinical training appears to be both the focus and strength of most palliative care fellowships surveyed. Fellows appear less interested in educational, research, and administrative training and programs appear to be less focused on these aspects of palliative medicine. Fellows also express a lower level of satisfaction with their training in these areas. The scope of fellowship programs must broaden to provide fellows opportunities to develop the research, education and administrative skills necessary to strengthen the research base of the field and provide academic leadership for the future.

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)0.167
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.720
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.167
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.281
GPT teacher head0.509
Teacher spread0.228 · 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 designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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