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Record W3186487937 · doi:10.29173/cjen133

A better Way to care for Long Term Care residents (LTC) in times of medical urgency: improving acute care for LTC residents

2021· article· en· W3186487937 on OpenAlexaffvenueabout
Leanna Wyer, Shawna Reid, Abraham Munene, Eddy Lang, Vivian Ewa, Heather Hair, Greta G. Cummings, Patrick McLane, Eldon Spackman, Peter Faris, Dominic A. Alaazi, Marian George, Jayna Holroyd‐Leduc

Bibliographic record

VenueCanadian Journal of Emergency Nursing · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsReferralLong-term careAcute careUnit (ring theory)MedicineGerontologyHealth careNursingBusinessMedical emergencyPsychologyOperations managementPolitical scienceEngineering

Abstract

fetched live from OpenAlex

A better way to care for Long Term Care residents (LTC) in times of medical urgency: improving acute care for LTC residents. Leanna Wyer, Shawna Reid, Abraham Munene, Eddy Lang, Vivian Ewa, Heather Hair, Greta Cummings, Patrick McLane, Eldon Spackman, Peter Faris, Dominic Alaazi, Marian George, Jayna Holroyd-Leduc Background: Many LTC residents are transferred to Emergency Departments (EDs) with conditions that could be cared for in LTC, perhaps with additional support (e.g. Community Paramedics). Communication between sites and EDs has also been lacking. These lead to long lengths of stay in EDs, unnecessary use of resources, and sub-optimal health outcomes. Two INTERACT tools will support initial management of the concern at the LTC site. Then a Care and Referral Pathway will help facilitate needed conversations and optimal transfers between LTC and ED. Implementation: Beginning in April 2019, standalone LTC sites in Calgary and Central zones have been invited to participate. Using a randomized stepped wedge design, we implement at 4-5 new sites every 3 months, with a total goal of implementing this change in 40 sites in Calgary and 9 sites in the Central zone. Early engagement with site medical directors, LTC and ED physicians, and managers at RAAPID (Referral, Access, Advice, Placement, Information and Destination) call centre and Community Paramedics was instrumental in getting the project initiated. Quarterly meetings with a project steering committee assists with ongoing project details and risk/issues. Operational leads and unit managers meet with our Senior Practice Consultant to be introduced to the project. This is followed by an implementation session at which site staff are given information about the specific tools and pathway, potential barriers are mitigated, and a site implementation plan is developed. Quarterly reports using data from a project Tableau dashboard are prepared by our Research Coordinator and distributed to LTC sites for them to monitor their performance compared to zone averages on a number of performance indicators. Evaluation Methods: The project will be evaluated using both qualitative and quantitative measures. Key Performance Indicators include a reduction in transfers to EDs, improved satisfaction, and increased use of available resources. Residents, families and healthcare providers will participate in interviews or focus groups to assess their experiences with the interventions. Quantitative evaluation includes an economic analysis to determine how the interventions have led to cost savings within the healthcare system, as well as examination of the number transfers to ED, hospital admissions, calls to RAAPID, and visits by Community Paramedics. This will help to determine if the intervention has led to better resource utilization, increased satisfaction among residents and families, and improved patient and health system outcomes. At this stage of the project, no unintended consequences have been identified. Results: Currently, we have implemented at 6 of 11 Cohorts (26 sites). Data from April 2019 (start of project) until December 2020 show a downward trend in number of ED visits and hospital admissions, as well as increased utilization of RAAPID. Formal evaluation will be completed when the project ends in June 2022. Given the COVID-19 pandemic, it is important to note that this may have an effect on our current trends and this will further be explored at the end of the project period. Anecdotal evidence is also beginning to indicate success of the right care being provided in the right place. Advice and Lessons Learned:1) Firstly, partnerships with key stakeholders are vital to ensure successful utilization of theLTC-ED Care and Referral pathway. Specifically, RAAPID is key to the facilitation ofcommunication between LTC sites and the EDs, and the services provided by CommunityParamedics allow many residents to remain at their LTC homes. 2) Secondly, good engagement with Site Medical Directors and Operational leads is needed toensure LTC staff and physicians are supported to use the interventions, and to care for theirresidents on site if appropriate. 3) Finally, tailored implementation strategies for each individual LTC site (and units in somecases) help mitigate site specific barriers, leverage strengths, and work within the site culture.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.396
Teacher spread0.365 · 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.

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
Published2021
Admission routes3
Has abstractyes

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