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Record W4402126301 · doi:10.29375/01237047.4639

Impact of implementing the pain best practice guideline in a long-term care home using the knowledge-to-action framework

2024· article· en· W4402126301 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMedunab · 2024
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsRegistered Nurses' Association of Ontario
FundersGovernment of OntarioRegistered Nurses' Association of Ontario
KeywordsGuidelinePain assessmentAuditMedicineQuality of life (healthcare)Action planPopulationNursingPhysical therapyPain managementFamily medicineBusiness

Abstract

fetched live from OpenAlex

Introduction. Assessment and management of pain in older adults can be challenging, with persistent pain prevalence ranging from 25% to 80%, especially in long term care homes (LTCH), where most seniors are unable to verbalize their pain. This article describes the implementation of the Registered Nurses’ Association of Ontario (RNAO) Assessment and Management of Pain (Third Edition) best practice guideline (BPG) in a LTCH in Toronto, Canada. Methodology. Using mixed descriptive study methodology, this 391-bed home housing older adults over 80 years implemented the Pain guideline using the knowledge-to-action framework and audit procedures to evaluate the impact of implementing this guideline. Key implementation activities included educating residents, families, and staff about pain while integrating validated pain screening and assessment tools into practice. A mixed methods approach of qualitative and quantitative data was utilized to monitor improvements in clinical and organizational outcomes. Results. The impact of implementing Pain BPG is: improved utilization of pain assessment and management tools, reduced incidence of worsening pain, improved pain scores and improved resident quality of life. The structured and integrated, evidence-based approaches to pain assessment and management reflected that long-term care residents don’t have to live with pain regularly, which leads to a better quality of life and resident/family satisfaction. Discussion. In conjunction with the structured approach of the knowledge-to-action framework and the Pain BPG, the LTCH utilized tailored approaches to meet the needs of their resident population. Recognizing the unique needs of seniors in a residential setting, organizational structural facilitators, and barriers and cultural needs, the LTCH developed multi modal approaches based on a person and family centred approach. This evidence-based and resident focused approach was the key to the successful implementation and subsequent outcomes that were resultant. Conclusion. The systematic implementation of the RNAO pain BPG and the utilization of the knowledge-to-action framework was shown to improve resident outcomes, improve organizational processes and generate staff satisfaction. Participation and engagement of residents, their families and health professionals in the process was one of the greatest facilitators.

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.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.041
GPT teacher head0.429
Teacher spread0.389 · 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