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Record W2328364297 · doi:10.1155/2004/290250

Exploring Physicians′ Comfort Level with Opioids for Chronic Noncancer Pain

2004· article· en· W2328364297 on OpenAlexafffundabout
Martin N. Scanlon, Urmil Chugh

Bibliographic record

VenuePain Research and Management · 2004
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsChronic painMedicineIntensive care medicineAnesthesiaPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the attitudes of family physicians (FPs) toward the use of opioids in the management of chronic noncancer pain (CNCP) in the Calgary Health Region (CHR), Calgary, Alberta. METHODS: From January to February 2003, random samples of 147 FPs (32 were used to pretest the instrument and were therefore excluded from the findings) and 142 specialists practicing in the CHR were invited to participate in a 20 min survey to explore aspects of CNCP management in the CHR. Physicians' comfort in prescribing opioids and nonsteroidal anti-inflammatory drugs for CNCP was measured on a four-point ordinal scale. The specialists' subgroup served as a quasi-control group. In addition, a short version of the survey was provided for those physicians who declined to fully partake in the study. This allowed the researchers to compare important characteristics between respondents and nonrespondents. RESULTS: A total of 125 physicians (63 FPs and 62 specialists) participated in the study. The overall response rate was 48.6% and response rates for FPs and specialists were 54.8% and 43.7%, respectively. Response rates for the long version of the survey were 42.6% for FPs (n=49), 31.6% for other specialists (n=45) and 36.6% for both combined. The majority of FPs and specialists (98% and 71.1%, respectively) reported that 'they can handle' nonsteroidal anti-inflammatory drugs, Tylenol No 3 with Codeine (Janssen-Ortho/McNeil Consumer Healthcare, Canada) (95.9% and 64.4%, respectively), morphine/MS Contin (Purdue Pharma, Canada) (61.2% and 24.4%, respectively) and Percocet (Bristol-Myers Squibb, Canada)/OxyContin (Purdue Pharma, Canada) (61.2% and 33.3%, respectively). Fewer FPs and specialists report that 'they can handle' Dilaudid (Abbott Laboratories, Canada)/Hydromorph Contin (Purdue Pharma, Canada) (36.7% and 13.3%, respectively), fentanyl patch (30.6% and 11.1%, respectively) and methadone (0% and 6.7%, respectively). Male FPs reported a greater degree of comfort than female FPs regarding morphine/MS Contin, Percocet/OxyContin and Dilaudid/ Hydromorph Contin (Mann-Whitney U tested at alpha <or=0.05). No sex differences were detected among specialists. No relationship was detected between comfort and years of practice or number of chronic pain patients in practice. Among specialists, a weak positive relationship was detected between the degree of comfort with methadone (Spearman's rank correlation coefficient=0.35, alpha=0.03) and the significance of pain management in the practice. Except for methodone, the FPs reported a higher confidence with the drugs in question compared with specialists (alpha

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.214
GPT teacher head0.374
Teacher spread0.160 · 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 source (direct Gemma or distilled Codex), 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

Citations40
Published2004
Admission routes3
Has abstractyes

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