MétaCan
Menu
Back to cohort
Record W2940981509

Avaliação da dor, estresse e coping em puérperas no pós operatório de cesárea

2019· article· pt· W2940981509 on OpenAlexaboutno aff
Vania da Rosa Friedrich, Monique Pereira Portella Guerreiro, Eliane Raquel Rieth Benetti, Joseila Sônego Gomes, Rosane Maria Kirchner, Eniva Miladi Fernandes Stumm

Bibliographic record

VenueRevista de Pesquisa: Cuidado é Fundamental · 2019
Typearticle
Languagept
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsnot available
Fundersnot available
KeywordsStressorBiopsychosocial modelMedicineCoping (psychology)Ethics committeePostpartum periodPerceived Stress ScaleGynecologyPsychiatryPregnancyStress (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Objective: The study’s purpose has ben to assess pain, perceived stress and coping in puerperal women during their cesarean postoperative periods. Methods: It is a cross-sectional study with a quantitative approach, which was carried out with 65 postpartum women admitted to a general hospital. The puerperal women during their cesarean postoperative period showing complaints and/or signs of pain in the last 24 hours were included. Data collection took place from April to July 2014 by using a Socio-demographic/Clinical Characterization Form, the McGill Pain Questionnaire, the Perceived Stress Scale, and an Inventory of Coping Strategies. Considering data analysis, Statistical analysis was performed. The project was approved by the Ethics and Research Committee from the Universidade Regional do Nororeste do Estado do Rio Grande do Sul (UNIJUI), CAAE No. 26726014.0.0000.5350. Results: 46.4% reported severe pain; 64.6% “nauseous” pain. Among the puerperal women, 83.1% were classified as medium stress, and Positive Reassessment was the most used coping factor. Conclusion: Through the surgical procedure the biopsychosocial health of the puerperal women can be compromised due to the presence of pain. Nevertheless, the use of coping strategies focused on the problem might favor the confrontation of the stressors in a positive way.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0250.023

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 head0.027
GPT teacher head0.332
Teacher spread0.305 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRevista de Pesquisa: Cuidado é FundamentalSame topicPregnancy-related medical researchFrench-language works237,207