HEALTH EQUITY PREDICTORS AMONG AGING PARENTAL CAREGIVERS OF ADULTS WHO HAVE AUTISM
Bibliographic record
Abstract
The principles guiding initiatives related to aging among individuals with intellectual disabilities (i.e., independence, participation, care, self-fulfilment and dignity) are based on the principles adopted in the United Nations Principles for Older Persons (resolution 46/91) (United Nations, 1991). This resolution must implicitly include their aging parental caregivers. Aging parental caregivers of adults with Autism Spectum Disorder (ASD), may be particularly vulnerable as they balance their own needs that change as they age and care for their adult child. Policies and funding decisions directed at meeting the needs of people with ASD have tended to focus on the individual with the developmental disorder, yet implementation relies heavily on family caregivers, primarily parents. Little is known about the health impacts, both positive and negative, among aging parents caring for an adult with ASD. It is necessary to consider the health of the parents of adults with ASD, as they are aging themselves. The province of Ontario has developed the Health Equity Impact Assessment (HEIA), a five-step model designed to identify the unintended health impacts, both positive and negative, of policies. The purpose of this research is to use the HEIA as a framework to identify the health impacts of community-based policy on aging caregivers of adults who have ASD. Participants (N= 320), completed the World Health Organization Quality of Life – Brief, Caregiver Burden Inventory, ENRICHD Social Support Instrument, Caregiver Reaction Assessment, and demographic questionnaires were analyzed using multiple regressions. Interviews were also conducted among parents (N= 50), age 50 years old and older, of adults diagnosed with to explore how the services and supports provided influenced the social determinants of health (SDOH). Results: The findings demonstrated a negative correlation between burden experienced by the parents and various aspects of social determinants of health. Caregiver burden was a predictor of QOL. Subthemes, identified using line-by-line analysis of transcribed interviews used a grounded theory perspective, included: stress, fatigue, physical assaults, worsening of chronic conditions, fear and helplessness experienced by these parents. This study highlights impediments to SDOH experienced by aging parental caregivers of adults who have ASD, which can be mitigated by service providers.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".