Browsing by Author "Ben Saleh, Michael"

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    Risk Factors for Readmission Following Inpatient Care for Depression
    (2022-02-23) Ben Saleh, Michael; University of Gothenburg / Institute of Medicine; Göteborgs universitet / Institutionen för medicin
    Background: Little is known about risk factors predisposing to higher readmission frequency in psychiatric inpatient care for depression. So far, few studies have been conducted on mapping various factors that might have an important association with readmission for depression. Aim: This study aimed to identify risk factors associated with an increased risk of readmission within 90 days and 30 days, after being discharged from psychiatric inpatient care for depression. Method: We designed a patient chart-based cohort study of medical records for psychiatric inpatients diagnosed with depression between 20th December 2018 to 12th December 2019 at Sahlgrenska University Hospital, Sweden. First, we used a univariate analysis using a t-test and a chi-square test. Then, we used a multivariate analysis using binary logistic regression. Results: The rate of readmission within 90 days was 18.9% (95%-confidence interval 14.1– 23.5) compared to 9.5% (95%-confidence interval 5.9–12.9) at 30 days. The length of stay was a significant risk factor associated with readmission in the binary logistic regression; OR = 1.024 (95% CI 1.003–1.046) for each additional day stayed. Eating disorders were significantly (p < 0.032) associated with readmission within 90 days. Although no statistically significant differences were found between the sexes, female participants were numerically more likely to be readmitted to the psychiatric department within 30 days (n = 16, 64%), compared with male participants (n = 9, 36%, p = 0.52), but not for the 90-day follow up (n = 25, 50%) for female and (n = 25, 50%, p=0.206) male, respectively. Conclusion: Of the patients admitted for depression, almost 1 out of 5 were readmitted within 90 days. Only a few risk factors predicted readmission, and only the length of stay appeared to be an independent risk factor. However, a larger cohort will be needed to determine which risk factors are independent.