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Record W7047322032

Exploring the Influences of Nurses' Career Decisions to Work in Remote Islands

2024· dissertation· en· W7047322032 on OpenAlexaboutno aff

Bibliographic record

VenueStirling Online Research Repository (University of Stirling) · 2024
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsMainlandWork (physics)Mainland ChinaRural areaEmpirical research
DOInot available

Abstract

fetched live from OpenAlex

Due to global nursing shortages, recruitment and retention of nurses is a major international concern, exacerbated in rural and remote areas. A published paper by Mackay et al. (2021), using systematic review techniques, found that despite the complexity of factors that influence nurses’ decisions to work in rural or remote settings, much of the research to date, mainly conducted in Australia, Canada or USA, has focused on specific factors in isolation. Existing evidence does not fully consider the multiple influences that may impact nurses’ decisions to remain in or leave rural or remote areas. This limits the effectiveness of recruitment and retention strategies. There is a paucity of rural and remote nursing research studies undertaken in the UK. 
\nThis thesis seeks to address the gap in empirical knowledge by exploring the connections between the person/al, profession/al and place related dimensions of rural and remote nursing and examining the complex interplay between the multiple factors that influence decisions made to work in rural and remote settings over the course of a career. 
\nUndertaken in the Western Isles of Scotland (WI), twenty-five biographical interviews were conducted with four groups of nurses with different career trajectories:
\n-\tGroup 1 (Remainers): Born in WI - trained in WI – remained in WI (n=5)
\n-\tGroup 2 (Returners): Born in WI – trained WI or mainland – worked mainland – returned to WI (n=9)
\n-\tGroup 3 (Leavers): Born WI or mainland – trained/ worked in WI- left to work on mainland - remained on mainland (n=5)
\n-\tGroup 4 (Incomers): Born mainland- trained/ worked on mainland – came to train/work in WI (n=6)
\n
\nThe use of biographical research methods has underpinned this study as semi-structured interviews captured deep and rich data to understand the career journey of nurses and what influenced their decision-making process to work in the Western Isles. Guided by the development of MacKay’s 3P model (person/al, profession/al, place) and the rich heritage of Rural Nurse Theory, results of Stage One of the analysis identified twenty-eight interrelated themes within the person/al, profession/al and place related dimensions of rural and remote nursing. Results of Stage Two of the analysis highlighted four overarching tensions/paradoxes - Anonymity/Visibility; Longing/Belonging; Ancestry/Acceptance; Specialist/Generalist.
\nThis study has added to the body of evidence in Rural Nurse Theory by indicating that a lack of anonymity affected nurses who were born in the WI in a different way from nurses from an urban background and local nurses experienced a stronger sense of belonging than ‘incomers’ who had difficulties being accepted. There is a need to support nurses transitioning to rural practice by strengthening their connections to people and place and adopting initiatives such as mentoring, preceptorship and socialisation through community partners.
\nNurses from all the groups acknowledged the need for a broad range of knowledge of different specialities and a strong demonstration of resilience to be able to cope with the scope, variety and unpredictability of rural and remote nursing. This thesis clearly highlighted that all the groups of participants highly commended the training, education and the support from tutors in the Western Isles but early career pathways of nurses were clearly haphazard due to some having difficulties securing permanent employment after completing their training. ‘Incomers’ were influenced to contemplate leaving the WI as they saw little opportunity for career progression or promotion. 
\nThis thesis proposes that the practice of remote and rural nurses needs to be redefined and considered as a speciality area in its own entity. The term ‘expert generalist’ which has historically provided a foundation theory for rural and remote nurses does not adequately address the deeper, intangible complexities and interplay of practice required in the rural and remote setting, where nurse’s practice is intertwined with and shaped by the community and culture. Giving rural and remote nurses career advancement opportunities through specialist training will result in the recognition of expertise, and a pathway of rural career progression, which may attract nurses to plan a rural career. A whole of community approach to workforce will facilitate opportunities for both family members, and the health professional to be part of the rural and remote community.
\n

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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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.105
GPT teacher head0.349
Teacher spread0.244 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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