Rates of psychiatric readmission and public mental health policies

Barros, Régis Eric Maia; Del-Ben, Cristina Marta

doi:10.1016/j.rbp.2012.05.005

Cited by 1 publication

(3 citation statements)

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“…Other studies [ 36 , 45 ] reported that other reasons for the high number of readmissions might be generally the high comorbidity in patients with AIPD, as demonstrated by Soyka et al who reported that the alcohol relapse rate is increased since AIPD is the consequence of chronic and severe alcohol dependence [ 42 ]. Results from this study [ 46 ] question these earlier findings and indicate a strikingly high rehospitalization rate for patients with AIPD.…”

Section: Resultsmentioning

confidence: 51%

“…In conclusion, the data from these hospital statistics [ 46 ] indicate that AIPD is a relatively ‘‘stable’’ clinical syndrome with a high rehospitalization rate and a more chronic relapsing course than previously thought. Although it cannot be concluded that AIPD is the only cause for readmissions as AIPD is the consequence of chronic and severe alcohol dependence with an often high comorbidity.…”

Section: Resultsmentioning

confidence: 99%

“…However, upon completion of a multivariate logistic regression analysis, the report of intentional medication non-adherence at home was associated with readmission. In a study [ 46 ] conducted by Brian et al, 2019, the findings suggested an association between intentional medication non-adherence at home and readmission during the study period [ 6 ].…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Readmission of Patients to Acute Psychiatric Hospitals: Influential Factors and Interventions to Reduce Psychiatric Readmission Rates

et al. 2022

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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.

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