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Record W1975434568 · doi:10.1002/pbc.21448

Impact of childhood cancer on parental employment and sources of income: A Canadian pilot study

2007· article· en· W1975434568 on OpenAlexafffundabout
Heather Limburg, Amanda Shaw, Mary L. McBride

Bibliographic record

VenuePediatric Blood & Cancer · 2007
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsBC Cancer AgencyPublic Health Agency of Canada
FundersChildhood Cancer CanadaUniversity of British Columbia
KeywordsSalaryMedicineFamily incomeCancerNet incomeDiseaseFamily medicineDemographyPediatricsGerontologyFinance

Abstract

fetched live from OpenAlex

BACKGROUND: Loss of income and out of pocket expenses related to childhood cancer care can account for over 25% of a family's total disposable income, adding to the stress of facing a life-threatening disease. The objective of this pilot study was to assess the impact of childhood cancer on employment and sources of income within families. PROCEDURE: A retrospective postal-administered questionnaire was used to collect information from parents of children diagnosed with cancer before 20 years of age between 1990 and 1996 in the province of British Columbia (n = 111). RESULTS: Among full or part-time employed parents, 64% of mothers and 16% of fathers left their job after their child's diagnosis. The large majority of parents who left their jobs were away for less than 1 year (65% of mothers; 78% of fathers) and nearly all were able to return to the same job if they chose to do so (80% of mothers; 89% of fathers). Parents with children <10 years of age at diagnosis and those with leukemia were most likely to take leave from their jobs. There was considerable change in sources of income between the time of diagnosis and survey with more families relying on employment insurance, social assistance or other financial support at diagnosis. Reliance on sources of income other than salary decreased with time since diagnosis. CONCLUSIONS: It appears that the diagnosis of childhood cancer may cause an important but short-term impact on the employment and income sources of affected families.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.023
GPT teacher head0.334
Teacher spread0.311 · 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.

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

Citations88
Published2007
Admission routes3
Has abstractyes

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