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Record W2888644269 · doi:10.1016/j.gaceta.2018.06.004

Encuentros y desencuentros entre salud comunitaria y sistema sanitario español. Informe SESPAS 2018

2018· article· es· W2888644269 on OpenAlexaboutno aff
Nieves Martínez Cía, Marta Pérez Pérez, Julio Heras-Mosteiro, Gonzalo Gutiérrez Ávila, José Manuel Díaz Olalla, Juan Luis Ruiz-Giménez Aguilar

Bibliographic record

VenueGaceta Sanitaria · 2018
Typearticle
Languagees
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthPolitical scienceSocial determinants of healthCharterHealth careCitizen journalismHealth promotionIdeologyHealth policyInternational healthPopulationPoliticsEconomic growthMedicineEnvironmental healthNursingEconomics

Abstract

fetched live from OpenAlex

A través de un recorrido histórico por la relación del Sistema Nacional de Salud español y la Salud Comunitaria, se describen las diferentes etapas de auge o declive de la Atención Primaria -y en concreto de su orientación comunitaria-, los acercamientos y distanciamientos en su relación con la Salud Pública y la influencia de las ideologías políticas dominantes. Considerando la salud comunitaria como parte esencial de la Atención Primaria, y de acuerdo con la estrategia de Alma Ata y los principios de la Carta de Ottawa, se defiende una reorientación comunitaria de los servicios de salud y se propone retomar la Atención Primaria como eje estratégico del Sistema Nacional de Salud, dada su capacidad para un abordaje integral de los procesos salud-enfermedad, sus posibilidades de reducir desigualdades y enfrentar determinantes sociales, así como de superar inequidades en salud, con la participación de la población y en coordinación con otros sectores. Los desafíos del futuro inmediato, así como las consecuencias de la crisis económica y de los recortes y debilitamiento del Estado de Bienestar, hacen evidente la necesidad de promover procesos participativos que impliquen al conjunto de actores sociales y, sobre todo, a la ciudadanía, considerada no como destinataria y’usuaria’ o consumidora, sino como sujeto activo y colaborativo. Se señala la imperiosa necesidad de incorporar procesos participativos dirigidos a crear una nueva cultura colectiva respecto a la sostenibilidad y universalidad de los recursos públicos de salud existentes. In this article, we describe the different stages of the rise and decline of Primary Health Care and, in particular, its community approach; we do so by providing a historical journey of the relationship between the Spanish National Health System and community health, outlining the connections and disconnections with Public Health as well as the influence of dominant political ideologies. We defend a community reorientation of health services, considering community health as an essential part of Primary Health Care, and in accordance with the Alma Ata strategy and the principles of the Ottawa Charter. The Primary Health System is taken up as the strategic axis of the National Health System, given its capacity for an integral approach to health-disease processes, and the possibility it poses for reducing inequalities and confronting social determinants as well as overcoming inequities in health, with the participation of the population and in coordination with other sectors. The challenges of the immediate future, as well as the consequences of the economic crisis, the cuts, and the weakening of the Welfare State, make evident the need to promote participatory processes that involve all the social actors and, above all, the citizenship -considered not as a recipient and’user’ or consumer, but as an active and collaborative subject. These participatory processes aim at creating a new collective culture regarding the sustainability and universality of existing public health resources.

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)0.005
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0030.003
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0470.008

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 head0.038
GPT teacher head0.374
Teacher spread0.336 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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