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Enregistrement 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 sur 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

Notice bibliographique

RevueCanadian Journal of Emergency Nursing · 2021
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGeriatric Care and Nursing Homes
Établissements canadiensAlberta Health Services
Organismes subventionnairesnon disponible
Mots-clésReferralLong-term careAcute careUnit (ring theory)MedicineGerontologyHealth careNursingBusinessMedical emergencyPsychologyOperations managementPolitical scienceEngineering

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,993
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,012
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0040,001
Communication savante0,0020,002
Science ouverte0,0020,005
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0110,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,396
Écart entre enseignants0,365 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission3
Résumé présentoui

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Même revueCanadian Journal of Emergency NursingMême sujetGeriatric Care and Nursing HomesTravaux en français237 207