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Evaluation of a family nursing intervention for distressed pregnant women and their partners: a single group before and after study

2012· article· en· W2104906892 on OpenAlexaboutno aff
Marga Thome, Stefanía Birna Arnardóttir

Bibliographic record

VenueJournal of Advanced Nursing · 2012
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
FundersHáskóli Íslands
KeywordsNursingIntervention (counseling)PsychologyMedicineFamily medicineClinical psychology

Abstract

fetched live from OpenAlex

AIM: To report a study of the effects of an antenatal family nursing intervention for emotionally distressed women and their partners. BACKGROUND: High levels of depressive symptoms and anxiety are common in pregnant women, and their partners are likely to suffer from a higher degree of these symptoms than those of non-distressed women. Maternal anxiety and depressive symptoms influence the development of the foetus and child negatively. Distress-reducing interventions for couples are scarce. DESIGN: The design was a pre- and post-test single group quasi-experiment. METHODS: All women distressed during the last two trimesters of pregnancy were referred by midwives to a family nursing home-visiting service in a primary care setting in Iceland. They were invited to participate in the study from November 2007-September 2009. The final sample was 39 couples. Assessment of distress was through self-reporting of depressive symptoms and anxiety, self-esteem, and dyadic adjustment. The couple received four home visits that were guided by the Calgary Family Nursing Model. RESULTS: Women experienced a higher degree of distress than men before the intervention. Couple's distress was interrelated, and improvement was significant on all indicators after the intervention. CONCLUSION: Healthcare professionals who care for distressed expectant women should attend to their partners' mental health status. The Calgary Family Nursing Model is an appropriate guide for nursing care of distressed prospective couples in a primary care setting.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.046
GPT teacher head0.386
Teacher spread0.341 · 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 designOther design
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

Citations20
Published2012
Admission routes1
Has abstractyes

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