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Record W2097412744 · doi:10.1016/j.pec.2015.02.002

Midwives’ perceptions of communication during videotaped counseling for prenatal anomaly tests: How do they relate to clients’ perceptions and independent observations?

2015· article· en· W2097412744 on OpenAlexaff
Linda Martin, Janneke T. Gitsels-van der Wal, Monique Pereboom, Evelien Spelten, Eileen K. Hutton, Sandra van Dulmen

Bibliographic record

VenuePatient Education and Counseling · 2015
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsMcMaster University
FundersAcademie Verloskunde Amsterdam Groningen
KeywordsPerceptionCoding (social sciences)PsychologyMedicineNursingFamily medicineClinical psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aimed to provide insight into Dutch midwives' self-evaluation of prenatal counseling for anomaly screening in real life practice and, the degree of congruence of midwives' self-assessments with clients' perceptions and with observed performance. METHODS: Counseling sessions were videotaped. We used the QUOTE(prenatal) questionnaire to have each midwife (N = 20) and her client (N = 240) rate the prenatal counseling that they had together. We used an adapted version of the RIAS video-coding system to assess actual counseling during videotaped prenatal counseling (N = 240). RESULTS: Midwives perceived the following functions of counseling performed well: 100% of Client-Counselor relation (CCR); 80% of Health Education (HE); and 17% Decision-Making Support (DMS). Congruence on HE of midwives with observers and with clients was ≥ 75%; congruence on DMS was higher between midwives and observers (80%) compared to midwives and clients (62%). CONCLUSION: Midwives perceive that during prenatal counseling the CCR and HE functions of counseling were performed well, whereas DMS was not. Furthermore, this study shows incongruence between midwives and clients about the discussion during DMS, indicating DMS is more difficult to assess than HE. PRACTICE IMPLICATIONS: The best way to measure prenatal counseling practice might be by using assessments of different sources within one study.

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)0.001
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 score0.121
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.030
GPT teacher head0.292
Teacher spread0.262 · 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
Published2015
Admission routes1
Has abstractyes

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