Factors associated with discharge home in older patients admitted to emergency department observation units: Looking for a predictive scale

Author:

Montero‐Pérez F. Javier1ORCID,Bajo‐Fernández Inmaculada1,González‐del Castillo Juan2,Burillo‐Putze Guillermo3,Jacob Javier4,Aguiló Sira5,Piñera‐Salmerón Pascual6,Alquezar‐Arbé Aitor7,Fernández‐Alonso Cesáreo2,Llorens Pere89,Cho Jeong‐Uh Hong10,Casado‐Ramón Beatriz11,Gayoso‐Martín Sara12,Sánchez‐Sindín Goretti13,Fernández‐Álvarez María Esther14,Gallardo‐Vizcaíno Patricia15,Romero‐Carrete Carlos7,Llauger Lluís16,Vázquez‐Rey Verónica17,Calle‐Fernández Sara18,Cañete Mónica19,Ruescas Esther20,Fernández‐Salgado Fátima21,Miró Òscar5,

Affiliation:

1. Emergency Department Hospital Universitario Reina Sofía Córdoba Spain

2. Emergency Department Hospital Clínico San Carlos, IDISSC, Complutense University Madrid Spain

3. Emergency Department Hospital Universitario de Canarias, University of La Laguna Tenerife, Canary Islands Spain

4. Emergency Department Hospital Universitari de Bellvitge, l'Hospitalet de Llobregat Barcelona Spain

5. Emergency Department Hospital Clínic, IDIBAPS, Universitat de Barcelona Barcelona Spain

6. Emergency Department Hospital Reina Sofía Murcia Spain

7. Emergency Department  Hospital de la Santa Creu i Sant Pau Barcelona Spain

8. Emergency Department Hospital General Universitario Dr. Balmis. Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL) Alicante Spain

9. Clinic Medicine Department Universidad Miguel Hernández Elche Spain

10. Emergency Department Hospital de Mendaro Gipuzkoa Spain

11. Emergency Department Hospital Miguel Servet Zaragoza Spain

12. Emergency Department  Hospital Comarcal El Escorial Madrid Spain

13. Emergency Department Hospital Do Salnes Villagarcía de Arosa Pontevedra Spain

14. Emergency Department Hospital de Barbanza Ribeira. A Coruña Spain

15. Emergency Department Hospital del Mar Barcelona Spain

16. Emergency Department Hospital de Vic Barcelona Spain

17. Emergency Department Hospital del Nalón Langreo Asturias Spain

18. Emergency Department Hospital Altagracia Manzanares Ciudad Real Spain

19. Emergency Department Hospital Nuestra Señora del Prado Talavera de la Reina, Toledo Spain

20. Emergency Department Hospital Universitario Vinalopó Elche, Alicante Spain

21. Emergency Department Hospital de Móstoles Móstoles, Madrid Spain

Abstract

AbstractBackgroundThe selection of patients who are going to be admitted to an emergency department observation unit (EDOU) is essential for the good management of these units, intended fundamentally to avoid unnecessary hospitalization of patients. This is especially important when dealing with older patients. It would be important to know what factors are associated with discharge home and to have a clinical predictive scale that appropriately selects older patients who are going to be admitted to an EDOU.MethodsA retrospective cross‐sectional study was conducted of all patients ≥65 years of age assisted in 48 Spanish Emergency Departments for 7 consecutive days and were admitted to the EDOU. Demographics‐functional, vital signs data and initial laboratory results were analyzed to investigate its association with discharge home and develop and validate a prediction model for discharge home from EDOU. Multivariable logistic regression was performed to develop a prediction model, and a scoring system was created.ResultsAmong 5457 patients admitted to the EDOU from the emergency room, 2508 (46%) patients were discharged home, and 2949 (54%) were admitted to the hospital. Five variables were strongly associated with discharge home: the absence of fever (adjusted OR: 3.61, 95% CI:1.53–8.54), Glasgow Coma Scale score of 15 points (2.80, 1.63–4.82), absence of tachypnea (2.51, 1.74–3.64) or leukocytosis (2.07, 1.70–2.52) and oxygen saturation >94% (2.00, 1.64–2.43). The final model achieved an area under the receiver operating characteristic curve of 0.648 (IC95% = 0.627–0.668) in the development cohort and 0.635 (0.614–0.656) in the validation cohort.ConclusionsThere are factors associated with a greater probability of discharge home of older patients admitted to EDOUs. Prediction at the individual level remains elusive, as the best model obtained in this study did not have sufficient validity to be applied in the clinical setting.

Publisher

Wiley

Reference35 articles.

1. Medicare Benefit Policy Manual. Chapter 6 ‐ Hospital Services Covered Under Part B. 20.5‐Outpatient Observation Services.www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Internet-Only-Manuals-IOMs-Items/CMS012673 (Accessed July 2023).

2. Observation Medicine – Key Concepts: How to Start (and Maintain) an Observation Unit: What You Need to Know: Clinical Issues

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