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Record W4224323934 · doi:10.26443/mjm.v20i1.831

The Direct and Indirect Financial Costs Sustained by Parents of Children with Osteogenesis Imperfecta

2022· article· en· W4224323934 on OpenAlexaffvenue
Aimee R. Castro, Marilyn Morand, Frank Rauch, Argerie Tsimicalis

Bibliographic record

VenueMcGill Journal of Medicine · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsUniversité de MontréalMcGill UniversityShriners Hospitals for Children - Canada
Fundersnot available
KeywordsOsteogenesis imperfectaMedicineReimbursementIndirect costsWorkforceHealth careFinanceNursingFamily medicineBusinessEconomic growthAccountingEconomics

Abstract

fetched live from OpenAlex

Osteogenesis Imperfecta (OI), also known as brittle bone disease, is a rare genetic condition characterized by increased bone fragility. The financial costs of caring for a child with a rare condition can be a significantsource of stress for families. As such, the financial costs of care are a concern to the clinicians who care for these families. However, the financial impact of caring for a child with OI is under-reported. A secondary analysis was conducted on data collected from a qualitative study in nursing. The aim was to offer preliminary insights into the financial impacts of caring for a child living with OI. Participants reported many direct out-of-pocket costs, which presented with reimbursement barriers. Other indirect costs resulted from missed work, career changes, or workforce departures. Policy and clinical implications include optimizing accessibility of supportive childcare policies, simplifying healthcare reimbursements, and regularly assessing families’ knowledge of available financial supports.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.007
GPT teacher head0.256
Teacher spread0.249 · 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 designBench or experimental
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

Citations5
Published2022
Admission routes2
Has abstractyes

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