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Record W3087762049 · doi:10.1186/s12877-020-01742-1

Emergency department outcome of elderly patients assisted by professional home services, the EPIGER study

2020· article· en· W3087762049 on OpenAlexaff
Anne‐Laure Féral‐Pierssens, Gustave Toury, Fatima Sehimi, Nicolas Peschanski, Sai͏̈d Laribi, Amélie Carpentier, Magali Kraif, Clément Carbonnier, François-Xavier Duchâteau, Yonathan Freund, Philippe Juvin, Patrice Serre, Aurélie Arnaud, Edouard Dugat, Céline Occelli, Thomas Lanoux, Edouard Jacquet, Céline Moretto, A. Devillard, Aurélia Bordais, Olivier Maurin, Aurélie Caffier, J. Duchenne, Stéphane Gillet, Ester Milojevitch, Cindy Tissier, Sunde Kilic, Véronique Uchlinger, Nicolás Gónzalez, Vincent Lacoste, Sébastien Pouzoulet, Abdo Khoury, Philippe Marguet, Claude Zamour, A. Proust, Anastasia Dessena, Frédéric Saura, A. Schindler, Émilie Gelin, Ludivine Tendron, Isabelle Cailleux, Marie-Hélène Basso, Vanessa Houzé-Cerfon, Julie Oudet, Bernard Ah-Koon, Thierry Babet, Justine Bereau, Rishad Vally, Emilie Souchaud, C. Scouarnec, O. de Stabenrath, Olivier Vuillot, Isabelle Giraud, Laurent Bebien, Nicolas Chauvel, Thomas Le Normand, Cécile Rouchy, I. Arnault, Vivien Brenkmann, Damien Viglino, Ernest Maiello, O Matas, Rémy Lemarchand, Yves Duffait, Cécile Bonhomme, M. Martinez, Alain Viallon, Quentin Legoff, Benjamin Blonstein, Pierre-Arnaud Fort, Oriane Vicenzi, Valérie Ruche, Anthony Millet, Tahar Chouihed, Daniel Baugnon, Nathalie Daniel, Bertrand Boulanger, Julien Galant, Henri Le Hot, Christophe Rothmann, Isabelle Guenot, Mathieu Cochonneau, N. Smaiti, Patricia Lachery, É. Wiel, Sylvain Thiriez, Lila Abdelli, Rachid Kasdali, Thierry Ramaherison, Thomas Guidez, C. Bailly, Fabien Poher, Annick Idrissi, Karine Humbert, Paul Andregnette, Daniel Pic, N. Dublanchet, G Giroud, Laure Jainsky, Marc Lacrouts, Marie-Pierre Liepa, Gaëlle Esturoune, A. Ximenes, Ialasoa Randrianasolo, Mélanie Mathe, Hélène Chable, Géraldine Le Cardinal, Anne-Marie Zix-Minni, Pierrick Le Borgne, Fanny Schweitzer, Kasarra Ben Hammouda, J Schmitt, Gaëlle Compte, Marine Delaroche, Christian Di Filippo, Véronique Potinet, Olivier Regal, Alireza Nahani, Jacques Faivre, Teddy Sturiale, Mohammed Touil, Mario Di Rollo, Olivier Laine, Mathieu Gerain, Marc Latappy, François‐Xavier Ageron, Claire Vallenet, Agathe Leleu, Morgan Blandin, Anne-Laure Paquet, Marie-Laurence Fievet-Brochot, Erwin Hansconrad, Benoît Vivien, Alessandra Principe, Pierre‐Clément Thiebaud, É. Trabattoni, Eric Burggraff, Emmanuel Boust, Valérie Massol, Xavier Benet, Quentin Foubert, B. Jardel, Mélanie Roussel, Luc‐Marie Joly, Mariane Ovtcharenko, Karim Bedrici, Mohamed Abdeljaouad, Carole Mauger-Briche, Laurence Berton, Ludovic Dalle, M. Violeau, Loïc Amizet, F Fontaine, Anaïs Colonna, Jean Tida, Emelyne Cwicklinski, P. Fradin, Christine Vallejo, Lotfi Frigui, Samia Bregigeon, Muriel Porche, Arnaud Le Jan, Jean-Philippe Desclefs, Héry Andrianjafy, Laura Wajzer, Ta Trung Hung, Sébastien Beaune, Hugo Lenglet, Gaëlle Le Bail, Anna Bouchara, Marie-Clément Kouka, Mathias Wargon, Steven David, Mohamed Khalid, Catherine Phlippoteau, Stéphane Diez, J. Sende, Xavier Baermann, Catherine Legall, Aurélie Fehre, Célia Etiennar, Nathalie Roudiak, Julie Talfournier, Chloé Lefebvre, Yann-Érick Claessens, Pierre‐Nicolas Carron, Fabrice Dami, Esther Popotte, Ahmed Belkouch, Jean-Marc Pujo

Bibliographic record

VenueBMC Geriatrics · 2020
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversité de Sherbrooke
FundersShandong First Medical UniversitySociété Française de Médecine d'Urgence
KeywordsMedicineEmergency departmentRehabilitationMedical emergencyPhysical therapyEmergency medicineGerontologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: For the elderly population living at home, the implementation of professional services tends to mitigate the effect of loss of autonomy and increases their quality of life. While helping in avoiding social isolation, home services could also be associated to different healthcare pathways. For elderly patients, Emergency Departments (EDs) are the main entrance to hospital where previous loss of autonomy is associated to worst hospital outcomes. Part of elderly patients visiting EDs are still admitted to hospital for having difficulties coping at home without presenting any acute medical issue. There is a lack of data concerning elderly patients visiting EDs assisted by home services. Our aim was to compare among elderly patients visiting ED those assisted by professional home services to those who do not in terms of emergency resources' use and patients' outcome. METHODS: A multicenter, prospective cohort study was performed in 124 French EDs during a 24-h period on March 2016.Consecutive patients living at home aged ≥80 years were included. The primary objective was to assess the risk of mortality for patients assisted by professional home services vs. those who were not. Secondary objectives included admission rate and specific admission rate for "having difficulties coping at home". The primary endpoint was in-hospital mortality. Cox proportional-hazards regression model was used to test the association between professional home services and the primary endpoint. Multi variables logistic regressions were performed to assess secondary endpoints. RESULTS: One thousand one hundred sixty-eight patients were included, median age 86(83-89) years old,32% were assisted by professional home services. The overall in-hospital mortality rate was 7%. Assisted patients had more investigations performed. Home services were not associated with increased in-hospital mortality (HR = 1.34;95%CI [0.68-2.67]), nor with the admission rate (OR = 0.92;95%CI [0.65-1.30]). Assisted patients had a lower risk of being admitted for "having difficulties coping at home" (OR = 0.59;95%CI [0.38-0.92]). CONCLUSION: Professional home services which assist one-third of elderly patients visiting EDs, were not associated to lower in-hospital mortality or to an increased admission rate. Assisted patients were associated to a lower risk of being admitted for «having difficulties coping at home».Professional home services could result in avoiding some admissions and their corollary complications. TRIAL REGISTRATION: Clinicaltrial.gov - NCT02900391 , 09/14/2016, retrospectively registered.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.063
Threshold uncertainty score0.779

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.056
GPT teacher head0.371
Teacher spread0.315 · 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.

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".

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Citations7
Published2020
Admission routes1
Has abstractyes

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