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Record W2076264826 · doi:10.4102/curationis.v37i1.1164

Student nurses’ perceptions of guidance and support in rural hospitals

2014· article· en· W2076264826 on OpenAlexaff
Steppies Richard Rikhotso, Martha J.S. Williams, Gedina De Wet

Bibliographic record

VenueCurationis · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsScience North
FundersNorth-West UniversityUniversiteit Stellenbosch
KeywordsNursingFeelingFocus groupPerceptionMedicineBachelorNurse educationQualitative researchPsychologyMedical education

Abstract

fetched live from OpenAlex

BACKGROUND: Clinical guidance and support of nursing students in rural hospitals is a challenge for novice nurses, who rotate amongst accredited hospitals throughout the province for clinical exposure, and find themselves in an unfamiliar environment. Theory learned at the training college is integrated with clinical exposure at hospitals and supplemented through teaching by hospital staff. Nursing students complain about lack of support and guidance from professional nurses within the hospital, some feeling restricted in execution of their nursing tasks by professional nurses and other staff. Students perceived negative attitudes from clinical staff, a lack of clinical resources, inadequate learning opportunities and a lack of support and mentoring during their clinical exposure. OBJECTIVES: This article describes perceptions of guidance and support of nursing students by professional nurses in a rural hospital and suggests guidelines for clinical guidance and support of nursing students. METHOD: A qualitative, explorative, descriptive and contextual design was used. Two focus group interviews were employed to collect data from a sample drawn from level II nursing students from one training college in Limpopo Province, South Africa, on different days (n = 13; n = 10). Qualitative content analysis was used to analyse data. RESULTS: Three themes (mutual distrust and disrespect, hospital environment, and clinical guidance and support) and subthemes (student behaviour and staff behaviour) emerged. CONCLUSION: Failure to support and guide nursing students professionally may lead to high turnover and absenteeism, resulting in students’ refusal to be allocated to a rural hospital for clinical exposure. Proposed guidelines have been formulated for clinical guidance and support of nursing students at the selected rural hospital. The college and hospital management should foster collaboration between the college tutors and professional nurses to ensure adequate guidance and support of nursing students.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.437
Teacher spread0.417 · 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 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

Citations38
Published2014
Admission routes1
Has abstractyes

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