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Giving Birth in Two Maternity Hospitals in Lithuania

2010· article· en· W2057659635 on OpenAlexaff
Beverley Chalmers, Dalia Jeckaite

Bibliographic record

VenueBirth · 2010
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersWorld Health Organization
KeywordsMaternity careObstetricsNursingMedicineFamily medicinePregnancyBiology

Abstract

fetched live from OpenAlex

BACKGROUND: In many hospitals in former Soviet countries, traditional Soviet perinatal policies remain in place, although in others reforms have been introduced. This study explores women's experiences during labor and birth in two Lithuanian maternity hospitals. The hospitals differed in that one (S) followed traditional Soviet era maternity practices whereas the other (P) had been exposed to World Health Organization-Euro practices and policies with respect to more up-to-date evidence-based and family-centered care. METHODS: Consecutive women giving birth in the two maternity hospitals were asked to participate in a survey. Completed responses were obtained from 416 women in one hospital (P) and 304 in the other hospital (S) representing 92.4 and 67.5 percent response rates, respectively. RESULTS: Rates of interventions in both hospitals were similarly high with, however, P hospital being more likely to be sensitive to women's psychosocial needs, such as being allowed to eat and drink more often during labor, and to have their husband or partner with them for labor and birth. CONCLUSION: It appears that in Lithuania, as in many parts of the world, introducing changes to the clinical care of birth takes time, and psychosocial changes may be easier to introduce than alterations in clinical practice.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.997

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)0.0040.000

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 head0.018
GPT teacher head0.344
Teacher spread0.327 · 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.

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

Citations6
Published2010
Admission routes1
Has abstractyes

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