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Record W7044785739

Análisis de situación de los servicios obstétricos en el primer nivel de atención en la Provincia de Esmeraldas

2014· dissertation· en· W7044785739 on OpenAlexaboutno aff

Bibliographic record

VenueUSFQ Digital Repository (Universidad San Francisco de Quito) · 2014
Typedissertation
Languageen
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsnot available
FundersUniversidad San Francisco de Quito
KeywordsInfant mortalityHealth carePrimary health careQuality (philosophy)Government (linguistics)PopulationPublic healthMillennium Development GoalsSituation analysisMedical care
DOInot available

Abstract

fetched live from OpenAlex

A situational analysis of obstetric services offered by the centers of primary health care in the province of Esmeraldas is important because it gives us the basic information to achieve international objectives made at the Millennium Development Goals (MDGs), which is concerning about to improve maternal health, reducing maternal mortality and the mortality rate of children under 5 years. For this we used a statistical tool designed by several institutions specialized in obstetric neonatal health in Canada, applied at national and international level that evaluate knowledge and skills of staff that are in charge of health care, infrastructure and medical equipment, which was applied within 8 health sub-centers at the province of Esmeraldas which were: Subcentro #1 Esmeraldas, San Mateo, San Rafael, Tachina, Camarones, Lagarto, Montalvo, Rocafuerte . After applied the evaluation we can concluded that both the skills of the staff for health care neonatal and obstetric gynecology as infrastructure and medical equipment from different subcenters is insufficient and therefore must implement regulatory strategies , planning, control and provision of services for a network of quality health care users.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0030.003
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 head0.010
GPT teacher head0.361
Teacher spread0.351 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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