Readmission of Patients to Acute Psychiatric Hospitals: Influential Factors and Interventions to Reduce Psychiatric Readmission Rates.
Ernest OwusuFolajinmi OluwasinaNnamdi NkireMobolaji A LawalVincent Israel Opoku AgyapongPublished in: Healthcare (Basel, Switzerland) (2022)
Background: Appropriate and adequate treatment of psychiatric conditions in the community or at first presentation to the hospital may prevent rehospitalization. Information about hospital readmission factors may help to reduce readmission rates. This scoping review sought to examine the readmission of patients to acute psychiatric hospitals to determine predictors and interventions to reduce psychiatric readmission rates. Method: A scoping review was conducted in eleven bibliographic databases to identify the relevant peer-reviewed studies. Two reviewers independently assessed full-text articles, and a screening process was undertaken to identify studies for inclusion in the review. PRISMA checklist was adopted, and with the Covidence software, 75 articles were eligible for review. Data extraction was conducted, collated, summarized, and findings reported. Result: 75 articles were analyzed. The review shows that learning disabilities, developmental delays, alcohol, drug, and substance abuse, were crucial factors that increased the risk of readmission. Greater access to mental health services in residential treatment and improved crisis intervention in congregate care settings were indicated as factors that reduce the risk of readmission. Conclusion: High rates of readmission may adversely impact healthcare spending. This study suggests a need for focused health policies to address readmission factors and improve community-based care.
Keyphrases
- healthcare
- mental health
- end stage renal disease
- public health
- randomized controlled trial
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- liver failure
- prognostic factors
- physical activity
- palliative care
- air pollution
- systematic review
- machine learning
- respiratory failure
- emergency department
- risk assessment
- deep learning
- drug induced
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation
- mechanical ventilation
- health promotion