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Record W2958782760 · doi:10.1177/2049463719857100

A structured classification of the types of pain research studies accessed by different health professionals involved in pain management

2019· article· en· W2958782760 on OpenAlexafffund
Vanitha Arumugam, Joy C. MacDermid, Ruby Grewal, Zakir Uddin

Bibliographic record

VenueBritish Journal of Pain · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMcGill UniversityWestern UniversitySt Joseph's Health Care
FundersCanadian Institutes of Health Research
KeywordsMedicinePsychosocialPsychological interventionIntervention (counseling)RehabilitationMEDLINEHealth professionalsChronic painPhysical therapyDescriptive statisticsHealth careNursingPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to describe the information access behaviours of clinicians involved in pain management with respect to their use of a pain evidence resource and to determine the areas of professional differences. METHODS: ) were enrolled in this study. The users regularly received email alerts about newly published clinical articles about pain that were pre-appraised for scientific merit and clinical relevance. A sample of up to 10 abstracts retrieved by each user were retrieved and classified using a descriptive classification system to describe the types of research, pain subtypes, interventions and outcomes that were reported in the accessed studies. Frequencies and chi-square tests were performed to compare access behaviours across professions. RESULTS: A total of 258 participants viewed 2311 abstracts. More than 52% of abstracts viewed were primary clinical studies; the majority (87%) addressed treatment effectiveness and were quantitative research (99.8%). The most commonly accessed clinical topic (58%) related to musculoskeletal pain and the most accessed pain type was chronic pain (76%). Drugs, injections and rehabilitation therapy were most commonly addressed in accessed intervention studies. Differences in professional focus were reflected in access: physicians/nurses accessed studies on injections (23%) and drugs (26%) and nurses accessed surgical studies, whereas other professions rarely did. Physiotherapists (PTs) and occupational therapists (OTs) preferentially accessed studies on rehabilitation. OTs and psychologists preferentially accessed the available studies on cognitive interventions; OTs accessed more ergonomic studies. Psychologists most accessed educational and psychosocial intervention studies. There were no differences in access across professions to multidisciplinary interventions. CONCLUSION: While access partially reflects the content of the pain repository, professional differences in access were evident that related to the nature of the intervention, type of pain and the research design. Multidisciplinary evidence repositories may need to consider how to include and meet varied information needs.

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)0.068
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0680.006
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 integrity0.0000.001
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 head0.242
GPT teacher head0.527
Teacher spread0.286 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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