Nursing diagnoses and hospital readmission of patients with respiratory diseases: Findings from a case-control study.

Autor: Suárez-González P; Department of Preventive Medicine and Public Health, School of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain., Suárez-Elosegui A; Department of Preventive Medicine and Public Health, School of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain., Arias-Fernández L; Department of Preventive Medicine and Public Health, School of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain., Pérez-Regueiro I; Emergency Medical Care Service (SAMU-Asturias), Oviedo, Spain.; Healthcare Research Area, Health Research Institute of Asturias (ISPA), Oviedo, Spain., Jimeno-Demuth FJ; Healthcare Research Area, Health Research Institute of Asturias (ISPA), Oviedo, Spain.; Central University Hospital of Asturias, Health Care Service of Asturias, Oviedo, Spain., Lana A; Department of Preventive Medicine and Public Health, School of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain.; Healthcare Research Area, Health Research Institute of Asturias (ISPA), Oviedo, Spain.
Jazyk: angličtina
Zdroj: Nursing open [Nurs Open] 2024 May; Vol. 11 (5), pp. e2182.
DOI: 10.1002/nop2.2182
Abstrakt: Aim: The rate of readmission after hospitalisation for respiratory diseases has become a common and challenging clinical problem. Social and functional patient variables could help identify cases at high risk of readmission. The aim was to identify the nursing diagnoses that were associated with readmission after hospitalisation for respiratory disease in Spain.
Design: Case-control study within the cohort of patients admitted for respiratory disease during 2016-19 in a tertiary public hospital in Spain (n = 3781).
Methods: Cases were patients who were readmitted within the first 30 days of discharge, and their controls were the remaining patients. All nursing diagnoses (n = 130) were collected from the electronic health record. They were then grouped into 29 informative diagnostic categories. Clinical confounder-adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using logistic regression models.
Results: The readmission rate was 13.1%. The nursing diagnoses categories 'knowledge deficit' (OR: 1.61; 95%CI: 1.13-2.31), 'impaired skin integrity and risk of ulcer infection' (OR: 1.45; 95%CI: 1.06-1.97) and 'activity intolerance associated with fatigue' (OR: 1.56; 95%CI: 1.21-2.01) were associated with an increased risk of suffering an episode of hospital readmission rate at 30% after hospital discharge, and this was independent of sociodemographic background, care variables and comorbidity.
Patient or Public Contribution: The nursing diagnoses assigned as part of the care plan of patients during hospital admission may be useful for predicting readmissions.
(© 2024 The Author(s). Nursing Open published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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