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Record W7047109794

Evaluation of the Western Cape Province Developmental Screening Programme

2023· dissertation· en· W7047109794 on OpenAlexaboutno aff

Bibliographic record

VenueOpen University of Cape Town (University of Cape Town) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
FundersUniversity of Cape Town
KeywordsQuarter (Canadian coin)Focus groupPrimary health careService delivery frameworkHealth careQualitative researchHealth servicesPrimary careResource (disambiguation)Service (business)
DOInot available

Abstract

fetched live from OpenAlex

This study evaluates the input, process and output parameters of the Western Cape Developmental Screening Programme in order to inform policy and practice regarding developmental screening in the province. The study describes the background, development and implementation of the screening programme and examines its current delivery, including the main enabling factors and barriers to implementation. In order to achieve the abovementioned objectives, a combination of predominantly qualitative and some quantitative data was gathered in stages from all levels of the health system (provincial, regional and district levels) using a number of different methods. In addition to documentary and literature reviews, information was gathered via structured interviews with key health managers at a provincial and regional level, a rapid facility survey and facility based assessments. Information gathered from interviews and focus groups was analysed thematically, while rapid facility survey results were analysed via Epilnfo. Despite numerous successes in its development and the overall awareness of the Developmental Screening Programme, developmental screening is not conducted uniformly across the province. Almost a quarter of primary health care facilities do not deliver any aspect of the programme and only one of nine facilities deliver according to protocol. This study concludes that despite the Developmental Screening Programme being a well-conceptualised and highly valued programme, its delivery has failed as a result of constraints within the broader health system. As previous evaluations of child health programmes have demonstrated, the overall transformation of the health system, organisation of service delivery at a primary health care level and gaps in human resource development and information systems impact significantly on the delivery of preventive service delivery for children. As official programmes for developmental screening are not conducted in any other provinces, the study results may also inform policy and practice on a national level.

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)0.020
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.604

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.044
GPT teacher head0.258
Teacher spread0.214 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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