Clinical complexity and hospital admissions in the December holiday period

Christmas and New Year's holidays are risk factors for hospitalization, but the causes of this "holiday effect" are uncertain. In particular, clinical complexity (CC) has never been assessed in this setting. We therefore sought to determine whether patients admitted to the hospital du...

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Veröffentlicht in:PloS one 2020-06, Vol.15 (6), p.e0234112-e0234112
Hauptverfasser: Lenti, Marco Vincenzo, Klersy, Catherine, Brera, Alice Silvia, Musella, Valeria, Benedetti, Irene, Padovini, Lucia, Ciola, Mariella, Croce, Gabriele, Ballesio, Alessia, Gorgone, Maria Fortunata, Bertolino, Giampiera, Di Sabatino, Antonio, Corazza, Gino Roberto
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container_start_page e0234112
container_title PloS one
container_volume 15
creator Lenti, Marco Vincenzo
Klersy, Catherine
Brera, Alice Silvia
Musella, Valeria
Benedetti, Irene
Padovini, Lucia
Ciola, Mariella
Croce, Gabriele
Ballesio, Alessia
Gorgone, Maria Fortunata
Bertolino, Giampiera
Di Sabatino, Antonio
Corazza, Gino Roberto
description Christmas and New Year's holidays are risk factors for hospitalization, but the causes of this "holiday effect" are uncertain. In particular, clinical complexity (CC) has never been assessed in this setting. We therefore sought to determine whether patients admitted to the hospital during the December holiday period had greater CC compared to those admitted during a contiguous non-holiday period. This is a prospective, longitudinal study conducted in an academic ward of internal medicine in 2017-2019. Overall, 227 consecutive adult patients were enrolled, including 106 cases (mean age 79.4±12.8 years, 55 females; 15 December-15 January) and 121 controls (mean age 74.3±16.6 years, 56 females; 16 January-16 February). Demographic characteristics, CC, length of stay, and early mortality rate were assessed. Logistic regression analyses for the evaluation of independent correlates of being a holiday case were computed. Cases displayed greater CC (17.7±5.5 vs 15.2±5.9; p = 0.001), with greater impact of socioeconomic (3.51±1.7 vs 2.9±1.7; p = 0.012) and behavioral (2.36±1.6 vs 1.9±1.8; p = 0.01) CC components. Cases were also significantly frailer according to the Edmonton Frail Scale (8.0±2.8 vs 6.4±3.1; p
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In particular, clinical complexity (CC) has never been assessed in this setting. We therefore sought to determine whether patients admitted to the hospital during the December holiday period had greater CC compared to those admitted during a contiguous non-holiday period. This is a prospective, longitudinal study conducted in an academic ward of internal medicine in 2017-2019. Overall, 227 consecutive adult patients were enrolled, including 106 cases (mean age 79.4±12.8 years, 55 females; 15 December-15 January) and 121 controls (mean age 74.3±16.6 years, 56 females; 16 January-16 February). Demographic characteristics, CC, length of stay, and early mortality rate were assessed. Logistic regression analyses for the evaluation of independent correlates of being a holiday case were computed. Cases displayed greater CC (17.7±5.5 vs 15.2±5.9; p = 0.001), with greater impact of socioeconomic (3.51±1.7 vs 2.9±1.7; p = 0.012) and behavioral (2.36±1.6 vs 1.9±1.8; p = 0.01) CC components. Cases were also significantly frailer according to the Edmonton Frail Scale (8.0±2.8 vs 6.4±3.1; p&lt;0.001), whilst having similar disease burden, as measured by the CIRS comorbidity index. Age (OR 1.02; p = 0.039), low income (OR 1.97, 95% CI 1.10-3.55; p = 0.023), and total CC (OR 1.06; p = 0.014) independently correlated with the cases. 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source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
subjects Age
Biology and Life Sciences
Biometrics
Christmas
Cognitive ability
Complexity
Correlation analysis
Dementia
Demographic aspects
Deprivation
Enrollments
Epidemiology
Evaluation
Family physicians
Females
Forecasts and trends
Health aspects
Holidays
Holidays & special occasions
Hospital admission and discharge
Hospitalization
Hospitals
Income
Influence
Internal medicine
Longitudinal studies
Medicine
Medicine and Health Sciences
Mortality
New year
Patients
People and Places
Regression analysis
Resource allocation
Risk analysis
Risk factors
Social Sciences
Socioeconomics
Statistical analysis
Variables
title Clinical complexity and hospital admissions in the December holiday period
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