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Record W2979732361 · doi:10.1016/j.gaceta.2019.05.015

Barreras en mujeres indígenas para acceder a servicios obstétricos en el marco de redes integradas de servicios de salud

2019· article· es· W2979732361 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGaceta Sanitaria · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicMigration, Education, Indigenous Social Dynamics
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsPolitical scienceMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Analizar las barreras que enfrentan las mujeres indígenas para acceder a la red de servicios obstétricos en el marco de Redes Integradas de Servicios de Salud. Se diseñó un estudio transversal descriptivo que integró métodos cuantitativos y cualitativos. La muestra fue intencionada, no probabilística. La recolección de datos se hizo en Oaxaca, México, durante 2017 y 2018. Se encuestó a 149 mujeres indígenas usuarias de servicios obstétricos para caracterizarlas sociodemográficamente y se seleccionaron 30 que tuvieron complicaciones durante el proceso de embarazo y parto para realizarles una entrevista semiestructurada. Se realizó observación no participante. La red de servicios obstétricos agrupa la atención de cuatro instituciones con diferentes modelos de atención, y por ello diversos tipos de establecimientos y recursos humanos para atender a las mujeres indígenas. Casi el 20% de las mujeres no iniciaron control prenatal en el primer trimestre del embarazo y el 27,2% tuvieron complicaciones durante el periodo gestacional. Las principales barreras fueron de disponibilidad (horarios de atención, aspectos geográficos), accesibilidad (carencia de recursos financieros), aceptabilidad (prácticas ancestrales vs. recomendaciones médicas) y continuidad del servicio (dificultades para ingresar al segundo nivel de atención y a especialidades médicas). El modelo de atención en redes posibilita el acceso a los servicios obstétricos, pero no garantiza la atención. Para ello, es necesario mejorar tanto la infraestructura de las instituciones prestadoras de servicios obstétricos como los procesos de atención. Hay que ampliar la visión del modelo considerando la perspectiva de derechos humanos y de equidad en salud. To analyze the barriers that indigenous women face in access to the network of obstetric services in the context of the implementation of integrated healthcare networks (IHN). We designed a cross-sectional descriptive study including quantitative and qualitative methods. Sampling was intentional, no probabilistic. Data collection was carried out in Oaxaca, Mexico, during 2017-2018. A total of 149 indigenous women who used obstetrical services were surveyed and sociodemographic characteristics were obtained. Later were selected 30 cases that had complications during pregnancy and childbirth for a semi-structured interview. Non-participant observation was conducted. The network of obstetric services comprises four institutions with different models of care and therefore different types of facilities and human resources to assist indigenous women. Nearly 20% of women did not start prenatal care in the first trimester of pregnancy and 27.2% had complications during the gestational period. The main barriers were availability (hours of operation, geographical aspects), accessibility (lack of financial resources), acceptability (ancestral practices vs. medical recommendations), and continuity of service (difficulties for admit patients in hospitals referred from first line of care). The networks model allows access to obstetric services but does not guarantee care. For this it is necessary to improve both: the infrastructure of the obstetric service providers, and the care processes. It is necessary to broaden the vision of the IHN management model considering the perspective of human rights and equity in health.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.322
Teacher spread0.311 · 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