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Record W6981734095

Examining the Relationship Between Home Care Rehabilitation Therapy Services and Healthcare Utilization Among Those with Multimorbidity in Ontario, Canada

2022· dissertation· en· W6981734095 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2022
Typedissertation
Languageen
FieldArts and Humanities
TopicPentecostalism and Christianity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationPsychological interventionHealth careContext (archaeology)Acute careCohortPopulationCohort study
DOInot available

Abstract

fetched live from OpenAlex

Individuals that experience multimorbidity are higher healthcare users and at an increased risk for poor health outcomes and functional decline. Rehabilitation therapists (occupational and physical therapists) can help these individuals with complex health challenges to address their functional needs and negotiate successful transitions in health care. Research was needed to determine the association between home care rehabilitation therapy and healthcare utilization outcomes. The overarching aim of this dissertation was to explore the association of home care rehabilitation therapy on unplanned acute health care utilization outcomes (i.e., hospitalizations and emergency department visits) for individuals with multimorbidity that were recently discharged from the hospital. This dissertation addresses this aim through three studies: a rapid review and two retrospective cohort studies. The rapid review synthesized the existing literature about home care rehabilitation therapy services for individuals with multimorbidity. The key findings from this review were that existing literature focused primarily on physical therapy interventions addressing functional impairment, and that system-level impact of therapeutic interventions was poorly addressed due to an emphasis in the literature on those with multimorbid musculoskeletal conditions. Studies two and three were retrospective cohort studies using health administrative data from ICES. In the first cohort study, we explored the association of home care rehabilitation therapy on healthcare utilization outcomes for individuals with multimorbidity that were recently discharged from an acute care hospital. In the second cohort study, this population was considered within the context of a discharge from an inpatient rehabilitation unit setting. The results of these two studies demonstrate that home care rehabilitation therapists are seeing clients that are medically complex (4+ chronic conditions), and require more help across areas of activities of daily living, cognition, and pain. Overall, there is a significant reduction in hospital readmission and emergency department use among those receiving rehabilitation therapy compared to those receiving other home care services, irrespective of discharge location. These findings suggest that rehabilitation therapists are instrumental in successful discharges to a home environment that benefit both the client and the healthcare system. These findings provide the foundation to explore the role of rehabilitation beyond single condition clinical guidelines.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.083
Threshold uncertainty score0.601

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.009
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.219
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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