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Perceptions of women, nurses, midwives and doctors about the use of video during birth to improve quality of care: focus group discussions

2011· article· en· W1503466367 on OpenAlexaff
Luc R.C.W. van Lonkhuijzen, Mariette Groenewout, Andrea B. Schreuder, GG Zeeman, Albert Scherpbier, L.C. Aukes, PP van den Berg

Bibliographic record

VenueBJOG An International Journal of Obstetrics & Gynaecology · 2011
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFocus groupPerceptionQuality (philosophy)PsychologyNursingMedical educationQualitative researchScope (computer science)Focus (optics)MedicineFamily medicineComputer scienceSociology

Abstract

fetched live from OpenAlex

Please cite this paper as: van Lonkhuijzen L, Groenewout M, Schreuder A, Zeeman G, Scherpbier A, Aukes L, van den Berg P. Perceptions of women, nurses, midwives and doctors about the use of video during birth to improve quality of care: focus group discussions. BJOG 2011; DOI:10.1111/j.1471-0528.2011.02943.x. The use of video during birth for quality of care was discussed in focus groups with women, nurses, midwives and doctors. Qualitative analysis revealed three categories of importance. First, goals and benefits: improving quality of care, teaching, research and legal issues are important potential applications. Second, limitations: concerns for privacy, fear of feedback and use of video in case of adverse events. Third, rules and regulations: goals and scope of the use of video need to be clearly described, access to video needs to be secured, and time until destruction needs to be specified. Video capture of birth is considered useful and seems acceptable if specific conditions are met.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.327
Teacher spread0.291 · 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

Citations9
Published2011
Admission routes1
Has abstractyes

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