Patient-, Hospital-, and System-Level Factors Associated With 30-Day Readmission After a Psychiatric Hospitalization

Associations between readmission and patient-reported measures in acute psychiatric inpatients: a multicenter prospective longitudinal study

PURPOSE

This study examined whether patient-reported measures (PRMs) addressing quality of life, personal agency, functional impairment, and treatment satisfaction at hospital discharge were associated with future readmission during a 12-month follow-up period. The study also examined whether readmission influenced changes in the same measures.

METHODS

A multicenter prospective cohort study was conducted at 21 psychiatric hospitals in Japan. Participants completed the EuroQol-five-dimensions-five-level (EQ-5D), the Five-item Subjective Personal Agency Scale, and the Sheehan Disability Scale (SDS) at the time of index admission (T1), discharge from index admission (T2), and 6 months (T3) and 12 months (T4) after discharge. Inpatient treatment satisfaction was assessed at T2. Readmission and variables potentially associated with hospitalization and PRMs were evaluated using mixed-effects logistic regression models and mixed models for repeated measures.

RESULTS

A total of 491 participants were followed for 12 months (attrition rate: 19.4%), and 480 were included in the EQ-5D analysis. The most common diagnoses were schizophrenia (59%), depression (14%), and bipolar disorder (13%). No patient-reported measures were significantly associated with readmission over the follow-up period. Interaction of readmission and time did not significantly affect changes in EQ-5D. Readmission did significantly influence SDS score changes between T2 and T3 (B = 1.78, 95% CI = 0.30-3.25, p = 0.018) and between T3 and T4 (B = 1.43, 95% CI = 0.14-2.72, p = 0.029). The same influence of readmission on SDS score changes was not observed in the model which adjusted for all potential covariates.

CONCLUSION

Readmission was potentially associated with changes in self-reported functional impairment. Findings highlight the potential role of intensive post-discharge services in preventing readmission, rather than relying on time-of-discharge PRMs in order to predict readmission risk.

TRIAL REGISTRATION

This study was registered in UMIN Clinical Trials Registry (UMIN000034220).

Conditional cash transfers and mortality in people hospitalised with psychiatric disorders: A cohort study of the Brazilian Bolsa Família Programme

BACKGROUND

Psychiatric patients experience lower life expectancy compared to the general population. Conditional cash transfer programmes (CCTPs) have shown promise in reducing mortality rates, but their impact on psychiatric patients has been unclear. This study tests the association between being a Brazilian Bolsa Família Programme (BFP) recipient and the risk of mortality among people previously hospitalised with any psychiatric disorders.

METHODS AND FINDINGS

This cohort study utilised Brazilian administrative datasets, linking social and health system data from the 100 Million Brazilian Cohort, a population-representative study. We followed individuals who applied for BFP following a single hospitalisation with a psychiatric disorder between 2008 and 2015. The outcome was mortality and specific causes, defined according to International Classification of Diseases 10th Revision (ICD-10). Cox proportional hazards models estimated the hazard ratio (HR) for overall mortality and competing risks models estimated the HR for specific causes of death, both associated with being a BFP recipient, adjusted for confounders, and weighted with a propensity score. We included 69,901 psychiatric patients aged between 10 and 120, with the majority being male (60.5%), and 26,556 (37.99%) received BFP following hospitalisation. BFP was associated with reduced overall mortality (HR 0.93, 95% CI 0.87,0.98, p 0.018) and mortality due to natural causes (HR 0.89, 95% CI 0.83, 0.96, p < 0.001). Reduction in suicide (HR 0.90, 95% CI 0.68, 1.21, p = 0.514) was observed, although it was not statistically significant. The BFP's effects on overall mortality were more pronounced in females and younger individuals. In addition, 4% of deaths could have been prevented if BFP had been present (population attributable risk (PAF) = 4%, 95% CI 0.06, 7.10).

CONCLUSIONS

BFP appears to reduce mortality rates among psychiatric patients. While not designed to address elevated mortality risk in this population, this study highlights the potential for poverty alleviation programmes to mitigate mortality rates in one of the highest-risk population subgroups.

Factors associated with readmissions in psychiatric inpatient care: a prospective cohort study based on hospital registers

BACKGROUND

Readmissions in psychiatric inpatient care may reflect problems in the provision of care, but the underlying factors are not well known. We examined the associations of patient characteristics (sociodemographic factors, diagnoses), treatment (duration, previous episodes, neuromodulation) and ward overload with psychiatric inpatient readmissions and multiple readmissions in Finland.

METHODS

We used a routinely collected data pool from one hospital district and followed all 2052 hospitalizations that started in 2018. The outcomes were readmission within 30 days and one year, and among those with readmission, the number of readmissions.

RESULTS

Of the patients, 11% had readmission within 30 days and 33% had readmission within one year. Women, those with previous hospitalizations, those with an ICD-10 diagnosis from the 'behavioural syndromes associated with physiological disturbances and physical factors / disorders of adult personality and behaviour' group, those with a diagnosis from the 'neurotic, stress-related and somatoform disorders' group, those with psychotic disorders, and those who received neuromodulation treatment were more likely to have readmissions. Having a diagnosis of 'disorders of psychological development' or 'behavioural and emotional disorders with onset usually occurring in childhood and adolescence' was associated with a lower likelihood of readmission. The duration of treatment and ward overload during the index period were not associated with readmission.

CONCLUSIONS

The findings of this study suggest possible risk factors for readmission and can be used to plan psychiatric care. To some degree, the risk factors varied between different readmission types. It is important to examine whether there are unmet treatment needs in psychiatric inpatient care for children and adolescents.

Rehospitalisation rates after long-term follow-up of patients with severe mental illness admitted for more than one year: a systematic review

AIMS

This study aimed to conduct a systematic review of studies on the outcomes of long-term hospitalisation of individuals with severe mental illness, considering readmission rates as the primary outcome.

METHODS

Studies considered were those in which participants were aged between 18 and 64 years with severe mental illness; exposure to psychiatric hospitals or wards was long-term (more than one year); primary outcomes were readmission rates; secondary outcomes were duration of readmission, employment, schooling, and social participation; and the study design was either observational or interventional with a randomised controlled trial (RCT) design. Relevant studies were searched using MEDLINE, PsycINFO, Web of Science, CINAHL, and the Japan Medical Abstract Society. The final search was conducted on 1 February 2022. The risk of bias in non-randomised studies of interventions was used to assess the methodological quality. A descriptive literature review is also conducted.

RESULTS

Of the 11,999 studies initially searched, three cohort studies (2,293 participants) met the eligibility criteria. The risk of bias in these studies was rated as critical or serious. The 1-10 years readmission rate for patients with schizophrenia who had been hospitalised for more than one year ranged from 33 to 55%. The average of readmission durations described in the two studies was 70.5 ± 95.6 days per year (in the case of a 7.5-year follow-up) and 306 ± 399 days (in the case of a 3-8-year follow-up). None of the studies reported other outcomes defined in this study.

CONCLUSIONS

The readmission rates in the included studies varied. Differences in the follow-up period or the intensity of community services may have contributed to this variability. In countries preparing to implement de-institutionalisation, highly individualised community support should be designed to avoid relocation to residential services under supervision. The length of stay for readmissions was shorter than that for index admissions. The results also imply that discharge to the community contributes to improved clinical outcomes such as improved social functioning. The validity of retaining patients admitted because of the risk of rehospitalisation was considered low. Future research directions have also been discussed.

Association of homelessness and psychiatric hospital readmission-a retrospective cohort study 2016-2020

BACKGROUND

A large proportion of adult psychiatric inpatients experience homelessness and are often discharged to unstable accommodation or the street. It is unclear whether homelessness impacts psychiatric hospital readmission. Our primary objective was to examine the association between homelessness and risk for 30-day and 90-day readmission following discharge from a psychiatric unit at a single urban hospital.

METHODS

A retrospective cohort study involving health administrative data among individuals (n = 3907) in Vancouver, Canada with an acute psychiatric admission between January 2016 and December 2020. Participants were followed from the date of index admission until censoring (December 30, 2020). Homelessness was measured at index admission and treated as a time-varying exposure. Adjusted Hazard Ratios (aHRs) of acute readmission (30-day and 90-day) for psychiatric and substance use disorders were estimated using multivariable Cox proportional hazards regression.

RESULTS

The cohort comprised 3907 individuals who were predominantly male (61.89%) with a severe mental illness (70.92%), substance use disorder (20.45%) and mean age of 40.66 (SD, 14.33). A total of 686 (17.56%) individuals were homeless at their index hospitalization averaging 19.13 (21.53) days in hospital. After adjusting for covariates, patients experiencing homelessness had a 2.04 (1.65, 2.51) increased rate of 30-day readmission and 1.65 (1.24, 2.19) increased rate of 90-day readmission during the observation period.

CONCLUSIONS

Homelessness was significantly associated with increased 30-day and 90-day readmission rates in a large comprehensive sample of adults with mental illness and substance use disorders. Interventions to reduce homelessness are urgently needed.

QUESTION

Is homelessness associated with risk for 30-day and 90-day psychiatric hospital readmission?

FINDINGS

In this retrospective cohort study of 3907 individuals, homelessness at discharge was associated with increased 30-day and 90-day psychiatric readmission.

MEANING

Housing status is an important risk factor for hospital readmission. High-quality interventions focused on housing supports have the potential to reduce psychiatric readmission.

Risk of psychiatric readmission in the homeless population: A 10-year follow-up study

Homelessness continues to be a major social and clinical problem. The homeless population has a higher burden of disease that includes psychiatric disorders. In addition, they have a lower use of ambulatory health services and a higher use of acute care. Few investigations analyze the use of services of this population group in the long term. We analyzed the risk of psychiatric readmission of homeless individuals through survival analysis. All admissions to a mental health hospitalization unit in the city of Malaga, Spain, from 1999 to 2005, have been analyzed. Three analyses were carried out: two intermediate analyses at 30 days and 1 year after starting follow-up; and one final analysis at 10 years. In all cases, the event was readmission to the hospitalization unit. The adjusted Hazard Ratio at 30 days, 1-year, and 10-year follow-ups were 1.387 (p = 0.027), 1.015 (p = 0.890), and 0.826 (p = 0.043), respectively. We have found an increased risk of readmission for the homeless population at 30 days and a decreased risk of readmission at 10 years. We hypothesize that this lower risk of long-term readmission may be due to the high mobility of the homeless population, its low degree of adherence to long-term mental health services, and its high mortality rate. We suggest that time-critical intervention programs in the short term could decrease the high rate of early readmission of the homeless population, and long-term interventions could link them with services and avoid its dispersion and abandonment.