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Record W4404621633 · doi:10.1177/13623613241299285

Repeated use of hospital-based services and delayed hospital discharges in a population-based cohort of autistic adults in Canada

2024· article· en· W4404621633 on OpenAlexafffundabout
Yona Lunsky, Robert Balogh, Hannah Chung, Anna Durbin, Meng‐Chuan Lai, Ami Tint, Jonathan A. Weiss, Barry Isaacs, Elizabeth Lin

Bibliographic record

VenueAutism · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsYork UniversityHealth CanadaSurrey Place CentreUniversity of CalgaryOntario Tech UniversityUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsAutismEmergency departmentMedicinePopulationHospital dischargeCohortHealth careCohort studyPublic healthPsychologyPsychiatryNursing

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.307
Teacher spread0.292 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2024
Admission routes3
Has abstractyes

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