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Record W4402151566 · doi:10.32920/ihtp.v4i2.2081

Reframing goals and strategies for delivering humanized obstetric care in Brazil

2024· article· en· W4402151566 on OpenAlexafffundvenue
Margareth Santos Zanchetta, Walterlânia Silva Santos, Vanessa Rodrigues Pina, Rebecca Zimmerman, Dakota Carrie, Francesca Aviv, Ivone Evangelista Cabral, Alecssandra de Fátima Silva Viduedo, Audrey Vidal Pereira, Aldrin de Sousa Pinheiro, Hilary Hwu, Hannah Stahl, Hannah Argumedo-Stenner, Ingryd Cunha Ventura Felipe, Delmar Teixeira Gomes, Zuleyce Maria Lessa Pacheco, Waglânia de Mendonça Faustino e Freitas, Ana Luiza de Oliveira Carvalho, Mônica Chiodi Toscano de Campos, Karline Wilson‐Mitchell, Vanessa Fofie, Dorin Adria d’Souza, Milena Oliva, John Tadeo, Oona M St-Amant, Sepali Guruge, Henry Parada

Bibliographic record

VenueInternational Health Trends and Perspectives · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsPrincess Margaret Cancer Centre
FundersUniversidade Estadual PaulistaUniversidade Federal de Minas GeraisUniversidade Federal da ParaíbaMitacsUniversidade Federal do AmazonasYork UniversityUniversidade de Brasília
KeywordsThematic analysisNursingAccountabilityPublic relationsPopulationMedicineHealth carePolitical scienceQualitative researchSociologyEnvironmental health

Abstract

fetched live from OpenAlex

Introduction: Despite the long-lasting efforts to promote the quality of obstetric care, Brazil requires robust changes in the care practices throughout the prenatal-labour-postpartum continuum. The ongoing National Program for the Humanization of Prenatal and Childbirth (PHPN) efforts address the fight against obstetric violence (OV), the improvement in the quality of obstetric care, but its implementation has faced obstacles and difficulties, such as responding to cultural values and operating with a weak infrastructure. This research explored Brazilian health and social service professionals’ perceptions of the PHPN’s recommendations regarding innovation, policy and practice changes necessary to respect women’s human rights to receive a high quality, dignifying obstetric care. Methods: An online multi-site survey in which data were collected (Jun 2019-Mar 2020) from health professionals working in the public health system in Brazil. Data analysis used descriptive statistics and thematic analysis. Analytical themes were Perceptions of Program effectiveness to minimize obstetric violence and Program’s gaps, inadequacies and needed changes. Results: Respondents (n=369) disclosed their perceptions about the Program’s nature, utility, and gaps towards an improved implementation. Key issues were rooted in the outdated university education, reduced accountability, and governance in services’ management; unfavourable work conditions and climate; professional power-imbalance; population’s lack of information about the Program; underutilization of obstetric nurses’ and midwives’ skills; neglect of professional development; no denunciation & re-education, and culture of quality improvement. Conclusions: Firmness, hope and determination will be needed to transform society’s culture of silence about OV, awakening the public awareness and mobilizing to enhance collective health and political literacy to ensure professional accountability while protecting women and newborns. There is a need for a realignment of work processes, an investment in professional education, and education within women’s social networks for women to become partners in the active process of improvement of quality of obstetric care.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.870
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.418
Teacher spread0.373 · 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.

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

Citations4
Published2024
Admission routes3
Has abstractyes

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