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Record W2258308046 · doi:10.12927/whp.2016.24493

Case Study: Primary Healthcare Clinical Placements during Nursing and Midwifery Education in Lesotho

2015· article· en· W2258308046 on OpenAlexvenueno aff
Alice Christensen, Semakaleng Phafoli, J R Butler, Isabel Nyangu, Laura Skolnik, Stacie Stender

Bibliographic record

VenueWorld health & population · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
FundersU.S. President’s Emergency Plan for AIDS ReliefUnited States Agency for International Development
KeywordsNursingPrimary health careMedicineHealth careGovernment (linguistics)Primary careObstetricsFamily medicinePopulationPolitical scienceEnvironmental health

Abstract

fetched live from OpenAlex

In Lesotho, primary healthcare is the main access point for health services. While nurses and midwives provide most of the care at this level, assessments of the clinical education programs have highlighted gaps in primary healthcare experiences for nursing and midwifery students. This case study examines placement of nursing and midwifery students in primary health clinics alongside preceptors. The placements provide students with varied clinical experience, better preparing them to practice in primary healthcare clinics. To date, more than 700 nursing and midwifery students have been placed in 40 rural health centres and 228 preceptors have been trained. The government is scaling up the program nationally.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.184
GPT teacher head0.555
Teacher spread0.371 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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