Repeated use of hospital-based services and delayed hospital discharges in a population-based cohort of autistic adults in Canada
Bibliographic record
Abstract
Recognizing higher rates of co-occurring health conditions in autistic adults and the frequent use of hospital-based health care services, this study compared rates of repeat emergency visits, repeat hospitalizations, and delayed discharges in autistic adults to other adults with and without developmental disabilities matched for age and sex, living in Ontario, Canada. Returning to the hospital emergency department within a month, being readmitted to hospital within a month and experiencing a delayed discharge from hospital were each more likely to occur in autistic males and females than their counterparts without developmental disabilities, with the risk ratios being the highest for delayed discharges. Males and females with other developmental disabilities were more likely to return to the emergency department within a month than their autistic counterparts, and males with other developmental disabilities were more likely than autistic males to be readmitted to hospital, but the likelihood of delayed discharge in the two groups was similar. These findings suggest that more needs to be done to both improve hospital-based experiences of autistic adults and adults with other developmental disabilities, and to strengthen community-based care to reduce the likelihood of repeat and extended stays in hospital. Lay abstract We know that autistic people have more health problems and are more likely to go to the emergency department and get hospitalized than other people, but we know less about the problems they have once they get to the hospital. In this study, we looked at all autistic adults in Ontario and compared them to adults who were not autistic and to adults who had other kinds of developmental disabilities to see who came back to the emergency department in the month after an emergency department visit, who got re-hospitalized in the month after being sent home from hospital, and who stayed in the hospital longer than they needed to because there was no place appropriate for them to go to. We found that both autistic males and females were more likely to have these things happen to them than the same age- and sex-matched adults who did not have developmental disabilities. We also found that adults with other kinds of developmental disabilities had similar problems to autistic people. This makes us think that we need to work harder to improve health care for autistic adults and adults with other developmental disabilities when they come to hospital. We also need to make community services work better, and work more closely with hospital services, so that people only come to hospital when they need to and that they can go home when they are ready.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".