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Record W4391897709 · doi:10.1186/s12912-024-01769-4

A framework for capacity enhancement of Rwandan nurse educators and preceptors facilitating nursing students to learn pediatric pain management

2024· article· en· W4391897709 on OpenAlexaff
Philomene Uwimana, Donatilla Mukamana, Yolanda Babenko‐Mould, Oluyinka Adejumo

Bibliographic record

VenueBMC Nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsWestern University
FundersUniversity of Rwanda
KeywordsNursingMedicineNurse educationLicensureNursing researchPediatric nursingNursing management

Abstract

fetched live from OpenAlex

INTRODUCTION: In low- and middle- income countries like Rwanda, children are most likely to suffer from painful and life-limiting conditions due to various factors predominant in these settings. Adequate pre-licensure pain management training can improve pain relief nursing practices. Educators and nurses in practice have a responsibility to teach the soon-to- be nurses for holistic competent nursing care of children, emphasizing the importance of and addressing child's suffering, yet inconsistencies were reported in what was taught regarding pediatric pain management from a theoretical perspective by nurse educators as compared to their counterparts in clinical settings in Rwanda. DESIGN: This study applied a qualitative approach using group discussions based on nominal group technique (NGT) to develop and validate a conceptual framework supporting the capacity enhancement of nurse educators and preceptors facilitating students' learning about pediatric pain management in Rwanda. METHODS: NGT meetings were conducted with academic nurses (n = 8), nurse clinicians (n = 4), and nursing students (n = 2) during a 2-day workshop to identify strategies, discuss the relevance of each strategy and to agree on key concepts of a framework for improving the ability of nurse educators and preceptors to teach PPM to nursing students. After four weeks another round of NGT meetings were done with nursing faculty (n = 6), academic nurse leaders (n = 3), nurse preceptors (n = 2), clinical nurse leaders (n = 2), a nurse leader from a regulatory body (n = 1), and nursing student (n = 1) to validate the developed framework. FINDINGS: Four main strategies corresponding to the key concepts were mapped in a framework. Participants had a consensual agreement on the importance of the developed framework, they confirmed its completeness and practicality. In addition, participants found that the developed framework is logical, and confirmed that it is applicable for its purpose. CONCLUSION: The developed framework presents an opportunity to respond to the gaps in nursing pain education in the context of limited resources settings such as Rwanda. It can also be applied in nursing practice and nursing research, aligning with the need of improving the quality of care of suffering children. Furthermore, the framework can be adapted and utilized to meet the needs of healthcare professionals other than nurses. CLINICAL RELEVANCE: Strategies are suggested to improve the ability of nurse educators and preceptors in clinical settings to facilitate the acquisition of pediatric pain management competencies by the next generation of nurses. Future Rwandan nurses could then use the competencies acquired to provide optimal health care to children with pain in the best way possible during their practices.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.027
GPT teacher head0.365
Teacher spread0.338 · 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 designOther design
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

Citations3
Published2024
Admission routes1
Has abstractyes

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