Experiences of Financial Stress and Supports in Caregivers During Pediatric Hospital Admission
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: In Canada and the United States, ∼1 in 5 children live in poverty, contributing to poor health outcomes. Families with children with chronic illness may experience additional financial stress related to hospitalization. This study aimed to capture experiences of financial needs and supports among caregivers with a child admitted to a tertiary care pediatric hospital to inform hospital-based financial services to reduce financial stress in families. METHODS: We recruited caregivers of children admitted to the general inpatient ward of an academic pediatric center using purposive sampling with no exclusion criteria. Individual, semistructured, in-depth interviews with participants were conducted. Data collected included socio-demographics, financial needs, and experiences with financial supports. Interviews were audio-recorded, transcribed verbatim, coded, and analyzed on NVivo software using a modified-grounded theory approach and summative content analysis. RESULTS: Fifteen caregivers of diverse backgrounds were interviewed, including non-English speakers (n = 4). Three themes and associated subthemes (in parentheses) were identified: (1) financial stress expressed by participants (acute admission-related and chronic financial stress), (2) challenges associated with accessing and utilizing financial supports (caregiver factors, systemic hospital factors, and systemic government factors), and (3) ideas for financial services at the pediatric hospital (services that will provide acute- and chronic financial assistance including education about financial supports and benefits). CONCLUSIONS: Our study highlighted acute and chronic financial needs as well as challenges in accessing financial support. Participants were interested in the healthcare system gaining a comprehensive understanding of their financial circumstances and accessing financial services in a hospital setting.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".