Redesigning the Brain Injury Landscape in Ontario - HHS partners with CONNECT
Bibliographic record
Abstract
502Redesigning the Brain Injury Landscape in Ontario - HHS partners with CONNECTMr. John Zsofcsin11Hamilton Health Sciences, Hamilton, CanadaHamilton Health Sciences is doing something different for people after Acquired Brain Injury (ABI) and stroke. Partnering with a private BC company CONNECT, a new resource opening in 2019 promises to help people redesign their lives u2013 while redesigning the health system. HHS would like to present a poster about this unique partnership and its intentions to transition people from hospital to home after ABI and stroke. A public/private partnership we feel will be replicated in other LHINs in Ontario and for other patient populations. After a successful RFP bid in 2016 CONNECT Hamilton will be opening in April/May 2019 and will focus on an alternative manner to support clients and their families.Purpose and Culture:This partnership has promoted respect for each other's culture and strengths, breaks down silos in traditional medical models and changes the way we talk to and coach our clients to promote successAlong with these significant outcomes, three other notable achievements of the partnership are:1. The creation of the Life Redesign ModelTM:u2022tA culture of personal accountability, support risk taking, social capital and meaningful community participationu2022tServices planned around what the person wants more of in life. Participation in relevant life situations drives the residentsu2019 goalsu2022tLeveraging neuroplasticity by pursuing resident goals in real-life, non-institutional settingsu2022tA u201cdoing-withu201d coaching approach with blended job roles and a multi-professional coaching team2. Leading Practice u2013 Accreditation CanadaThe Life Redesign ModelTM was deemed Leading Practice by Accreditation Canada in 2016 under client and family centred care for acquired brain injury services.3. Proven Outcomes10 years into a partnership with Interior Health in British Columbia, CONNECT has:u2022tTransitioned 165 individuals through with an average LOS is 278 Days u2022t75% of residents move out to a lower-cost environment for years to come;u2022tGenerating an estimated system savings of $85M and climbing, or an ROI of 553%.Together CONNECT Lake Country and IH have filled a significant system gap for folks with ABI, providing an opportunity for people after ABI and stroke in BC to redesign their lives. The partnership has allowed many individuals to avoid long-term care and institutionalization, with 75% of people going home and to the community after CONNECT. Most importantly, the partnership has built a huge number of powerful individual stories that can inspire change and have positive influence for the individual and others. Measuring Success We want to share and develop this partnership as an example of whatu2019s possible from Hospital to Community and will measure success through:Goal-attainment scalingWait timesOccupancy RatesLength of StayQuality of LifeMove-out destinationOnce we can prove itu2019s working and successful, we want to share it!
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.004 |
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".