Promoting financial empowerment after brain injury: Findings from focus groups
Bibliographic record
Abstract
ObjectiveTo cocreate and synthesize financial empowerment ideas for people living with acquired brain injury from multiple perspectives.DesignWe completed a qualitative descriptive study using focus-group methods. Content analysis was guided by deductive categorization across overlapping idea areas of educational products, human-interaction services, and advocacy approaches, followed by inductive idea subcategorization.SettingWe held seven focus groups, five online and two in-person. Participants were recruited via community organization advertisements and convenience sampling. Four researchers analyzed transcripts using a triangulation approach.ParticipantsTwenty-five adults (ages 18+) participated in seven different focus groups: 15 individuals living with acquired brain injury (five groups); 2 close others (one group); and 8 project advisory members (one group). Demographics varied across age, education, and time since injury; most were women.ResultsWe generated 20 idea subcategories for financial empowerment after brain injury. Participants discussed ideas related to advocacy and service ideas more than products, but noted the salience of varied option availability to meet different needs across individuals. Participants living with brain injury identified seven unique ideas compared to the close other group and project advisory group.ConclusionsFinancial empowerment to address economic factors of financial capability and financial well-being after brain injury is important to brain injury rehabilitation, health, and well-being. Including lived experience voices provided unique ideas for addressing financial empowerment. Providing a spectrum of options and addressing contextualization factors could enhance the financial well-being of adults living with brain injury, which can contribute to brain injury recovery and improve community participation.
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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 | 0.003 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".