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Record W4307055394 · doi:10.1093/pch/pxac100.084

85 Mental health service utilization and cost amongst parents post NICU discharge: A descriptive analysis

2022· article· en· W4307055394 on OpenAlexaffabout
Laura Diamond, Myla E. Moretti, Kayla Esser, Eyal Cohen, Karel O’Brien, Wendy J. Ungar, Julia Orkin

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMental healthNeonatal intensive care unitAnxietyMedicineGovernment (linguistics)Intensive careDepression (economics)PediatricsFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background While mental health disorders are common in the postpartum period, the mental health of parents of infants in the neonatal intensive care unit (NICU) may be further compromised. Previous research demonstrates that up to 40% of NICU parents exhibit elevated levels of depression and anxiety, and endorse trauma symptoms shortly after their baby’s birth. Objectives To describe the parental and infant characteristics and costs associated with MHS use in parents of infants recently discharged from seven Canadian level III NICUs. Design/Methods The study was nested in an ongoing clinical trial of parents of high-risk infants across seven Canadian level III NICUs. Parent and infant characteristics were obtained at enrollment and summarized. Information pertaining to MHS use was obtained from the Resource Use Questionnaire administered to parents at 4 months post-enrollment (RUQ-4m). A pricing table allocating standard costs for services was created to estimate MHS costs for the services reported across the follow-up interval. Results A total of n=213 families completed the RUQ-4m. Of these, 33 individual parents (8%; n=25 female, n=8 male) across 28 families (13%) used MHS following infant discharge from the NICU. Therapy, including psychotherapy and social work, was the most utilized service (46%), followed by psychology (24%) and psychiatry (12%). Using the pricing table to estimate costs, an average of $541 per month was spent on MHS per family. Of these costs, 34% were paid directly by a government program, while 31% were paid at least in part out-of-pocket. Three-quarters (72%) of MHS users were born in Canada compared to 47% of non-users, 72% were on a leave from work compared to 59% of non-users, and 79% were first-time parents compared to 62% of non-users. The average length of hospital admission for infants of MHS users was 100 days compared to 143 days for non-MHS users. Finally, 20% of MHS users reported past or current depression compared to 8% of non-users. Conclusion We found that just over one-tenth of families used MHS post-discharge, that those who used MHS primarily used therapy, and that mental health services cost an estimated $540 per family per month. This is the first pan-Canadian study to describe MHS utilization and cost amongst parents post-NICU discharge. Given the high rates of mental health conditions in this population, the rates of MHS use reported were lower than expected. This preliminary data may represent those who were able to access care, rather than all participants who may have required MHS.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.246
Threshold uncertainty score0.490

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.287
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes2
Has abstractyes

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