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

Abstract

Abstract 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.

Keywords

• case–control studies
• hospitalisation
• nursing diagnosis
• patient readmission
• prognosis
• respiration disorders