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Record W4310155677 · doi:10.1111/opn.12519

Professional development and career planning for nurses working in care homes for older people: A scoping review

2022· review· en· W4310155677 on OpenAlexaboutno aff
Joanne Fitzpatrick, Leda A. Bianchi, Nicky Hayes, Tiago Manuel Horta Reis da Silva, Ruth Harris

Bibliographic record

VenueInternational Journal of Older People Nursing · 2022
Typereview
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsNursingOlder peopleGerontological nursingProfessional developmentPsychologyMedicineGerontologyMedical education

Abstract

fetched live from OpenAlex

BACKGROUND: A skilled, knowledgeable, and compassionate nurse workforce is pivotal to caring well for older people living in care homes. This requires the provision of continuing professional development and career planning for nurses, which are key also for nurse recruitment and retention. Continuing professional development and career planning strategies and interventions should be evidence-driven. OBJECTIVE: To identify the extent, range and nature of contemporary evidence regarding professional development and career planning for nurses caring for older people living in care homes. METHODS: The methodological framework used was the Joanna Briggs Institute guidance for scoping reviews. The PRISMA extension for scoping reviews was used as the reporting framework. Four databases were searched from January 2010 to July 2021. Results were screened independently by two reviewers using eligibility criteria. Full texts and the reference lists of eligible articles were reviewed. Data were extracted for key elements from the 25 articles included. RESULTS: Of the 25 articles, the majority were authored in the United States (n = 10) and UK (n = 8) with the remaining from Australia (n = 3), Canada (n = 3) and the Netherlands (n = 1). Four articles reported on professional development programmes. Three literature reviews addressed challenges for nurse participation in professional development, experiences of care home nurses as clinical leaders and managers, and leadership. Two expert commentaries reported on the challenges related to professional development and career planning for care home nurses. Sixteen empirical studies investigated a range of topics including: competencies, roles, intention to stay and leave, continuing professional development, and leadership. Key emergent factors that support professional development and career planning were as follows: access to structured learning opportunities addressing knowledge and skills specific to nursing frail older adults, a supportive working environment including adequate staffing, study time and flexible working, and integration of leadership development. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: This scoping review has highlighted factors that support and challenge professional development and career planning for nurses working in the care home sector. There remain important gaps in the opportunities for professional development and career planning for care home nurses that warrant attention.

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)0.016
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0170.018
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.088
GPT teacher head0.444
Teacher spread0.356 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations52
Published2022
Admission routes1
Has abstractyes

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