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Record W2996871494 · doi:10.31770/2561-7516.1034

Pain Management in the Context of a Nursing Help Line: Identification of Needs, Development of a Continuing Education Activity, and Evaluation of its Impact

2019· article· en· W2996871494 on OpenAlexaffvenue
Marc Boisvert, Charles Bilodeau, Patricia Bourgault, Frances Gallagher

Bibliographic record

VenueScience of Nursing and Health Practices · 2019
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCompetence (human resources)Pain managementPhoneContext (archaeology)NursingPerceptionMedicineFocus groupPsychologyPhysical therapyBusiness

Abstract

fetched live from OpenAlex

Introduction: Pain management by nurses in the context of a phone help line is a complex task. Continuing education (CE) is a potentially effective strategy to ensure development of this competence. Objective: The main objective of this study was to develop and evaluate a customized pain management CE activity by and for nurses working at a phone help line providing health information. Methods: A three-phase convergent mixed-method design was used: needs and preferred educational strategies assessment, conception of CE activity, evaluation. Based on a participatory approach, the CE activity was developed to meet participants’ expectations and needs. It included two components: 1) CE day and 2) individual clinical support. A quasi-experimental study with a single time series was used to evaluate the CE activity regarding participants’ knowledge and beliefs about pain management and their perceptions of their pain management activities. Data collection was performed using focus groups and questionnaires. Results: Participants’ knowledge about pain management increased after the CE day and remained stable after three months. Also, participants reported an increase in various patient-centered pain management nursing activities. Discussion and conclusion: This study illustrates the importance of involving nurses in designing a CE activity and supports its potential benefits in the context of a phone help line.

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)0.016
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
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 science0.0000.000
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 head0.252
GPT teacher head0.555
Teacher spread0.303 · 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 designQualitative
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

Citations0
Published2019
Admission routes2
Has abstractyes

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