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Record W2332203814 · doi:10.1097/anc.0000000000000135

Postpartum Depression in the NICU

2014· article· en· W2332203814 on OpenAlexaff
Ryan T. Blucker, J. Arthur Gillaspy, Dennis L. Jackson, Carla Hetherington, Kathy Kyler, Amy Cherry, Mary Mccaffree, Stephen R. Gillaspy

Bibliographic record

VenueAdvances in Neonatal Care · 2014
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of WindsorChrysler (Canada)
Fundersnot available
KeywordsConfirmatory factor analysisGoodness of fitMedicineConstruct validityStatisticsNeonatal intensive care unitConfidence intervalClinical psychologyDepression (economics)Postpartum depressionPsychometricsStructural equation modelingPsychiatryPregnancyMathematicsInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this research was to examine the construct validity of scores from the Postpartum Depression Screening Scale administered to mothers of infants in a neonatal intensive care unit. SUBJECTS: Two samples (n = 385 and n = 110) of mothers with infants in a neonatal intensive care unit in the south-central region of the United States completed the Postpartum Depression Screening Scale 2 weeks postpartum. Both samples were similar in race and education level but differed according to marital status. DESIGN: Study 1 was retrospective and descriptive, whereas study 2 was prospective and descriptive. METHODS: In study 1, confirmatory factor analysis was used to evaluate the originally proposed 7-factor structure and a 1-factor model. Because of overly high correlations between 3 of the factors, a revised 5-factor model was also tested. In study 2, confirmatory factor analysis was again used to test the construct validity or goodness of fit of the 7-factor and 5-factor models. MAIN OUTCOME MEASURES: Goodness-of-fit indices and factor pattern coefficients. PRINCIPAL RESULTS: In study 1, high correlations between 3 of the factors in the 7-factor model did not converge. Thus, a 5-factor model was also tested. This model had reasonable fit: χ= 1339.70 (550); P < 0.01; comparative fit index = 0.85; root mean square error of approximation = 0.06; and 90% confidence interval for root mean square error of approximation = 0.058 to 0.067. In study 2, confirmatory factor analysis was again used to test the construct validity or goodness of fit of the 7-factor and 5-factor models. Results for the 7-factor model indicated unacceptable fit: χ (539) = 959.10; P < 0.01; comparative fit index = 0.76; and root mean square error of approximation = 0.09. The 5-factor model was also poor: χ (550) = 992.95; P < 0.01; comparative fit index = 0.75; and root mean square error of approximation = 0.09. CONCLUSIONS: Although the construct validity of the 7-factor model of the PDSS was not supported for this sample of mothers, additional factor analytic work was used to develop and provide initial validation of a 5-factor model. Future research should continue to explore the unique experiences of mothers in the NICU who experience postpartum depression.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.268

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)0.0000.000

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 head0.007
GPT teacher head0.299
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

Citations10
Published2014
Admission routes1
Has abstractyes

Explore more

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