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Record W4413366163 · doi:10.5334/ijic.nacic24114

MGH2Home: Integrating Interdisciplinary Care for Seamless Transitions from Hospital to Home

2025· article· en· W4413366163 on OpenAlexaboutno aff
Chantel Marshall, David C. Fry, Dorothy Quon

Bibliographic record

VenueInternational Journal of Integrated Care · 2025
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsNursingMedicineIntegrated careHealth care

Abstract

fetched live from OpenAlex

MGH2Home integrates the expertise of a hospital with three home and community care services organizations to form a unified care team under shared governance. This program targets adults designated as Alternate Level of Care in the hospital who need ongoing health and social support post-discharge. By focusing on determinants of health care planning, MGH2Home facilitates the transition of patients who would otherwise remain in the hospital, aiming to improve population health in East Toronto.Prior to discharge, the care team collaborates with patients and care partners to create a transitional care plan covering medical, rehabilitation, and social care needs. This plan continues into the community, adapting to changing needs. Post-discharge, patients receive comprehensive, multidisciplinary services at home. Regular team huddles and coordination with primary care providers ensure tailored support as clients recover and regain independence. Clients can remain in the program for up to 90 days before transitioning to less intensive support.The program involves community and patient representatives in all design sessions, addressing barriers and identifying innovative solutions. These representatives also serve on the Program Steering Committee, ensuring ongoing community involvement.In its first year, MGH2Home served 229 patients, with an average age of 79, conducting thousands of visits by Personal Support Workers, Nurses, Therapy Assistants, Social Workers, Occupational Therapists, Physiotherapists, and Pharmacists. Medication reconciliation was completed on all patients, revealing that 8% of patients had discrepancies or were taking inappropriate medications, with 90% of the pharmacist's recommended changes implemented.Since September 2023, early identification helped 25% of patients avoid ALC status, potentially reducing their hospital stays. Additionally, 60% of patients transitioned successfully back to their communities or traditional home care, with 3% showing improved functional levels.Patients and families have called the program a "lifeline" during the transition from hospital to home. Data indicates improved patient outcomes and preserved hospital bed capacity.Creating a One Team Approach necessitates a cultural shift for hospital and community care partners. Ensuring sustainability involves maintaining cross-partner collaboration, adhering to a shared vision and guiding principles, and using common metrics.The program's success relies on a dedicated team providing diverse services to patients with varying care complexities. Initial challenges included understanding capacity. A Power BI dashboard informed decision-making, leading to adjusted staffing levels in the coming year, including an increase in Personal Support Workers and the addition of a Program Supervisor within the hospital to support the transitional planning.Establishing a common workflow in a decentralized environment posed challenges. Early and thorough planning for centralized health information records and communication tools was crucial. The program uses a single scheduling platform called GoldCare, MS Teams for team communication, and a common repository for policies, procedures, and training.In the coming year, MGH2Home will leverage insights from its one-year evaluation as well as feedback from patients, families, and providers to refine the program. Efforts will focus on enhancing data governance, improving team communication, and collaborating with community programs and initiatives such as East Toronto Primary Care Response Team (PCCRT) and East Toronto Health Partners RNAO BPSO OHTs Transition in Care Best Practice Guidelines work.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.008
GPT teacher head0.318
Teacher spread0.310 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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