Factors differentially associated with early readmission at a university teaching psychiatric hospital

Risk factors associated with 30-day unplanned hospital readmission for patients with mental illness

Unplanned hospital readmission rate is up to 43% in mental health settings, which is higher than in general health settings. Unplanned readmissions delay the recovery of patients with mental illness and add financial burden on families and healthcare services. There have been efforts to reduce readmissions with a particular interest in identifying patients at higher readmission risk after index admission; however, the results have been inconsistent. This systematic review synthesized risk factors associated with 30-day unplanned hospital readmissions for patients with mental illness. Eleven electronic databases were searched from 2010 to 30 September 2021 using key terms of 'mental illness', 'readmission' and 'risk factors'. Sixteen studies met the selection criteria for this review. Data were synthesized using content analysis and presented in narrative and tabular form because the extracted risk factors could not be pooled statistically due to methodological heterogeneity of the included studies. Consistently cited readmission predictors were patients with lower educational background, unemployment, previous mental illness hospital admission and more than 7 days of the index hospitalization. Results revealed the complexity of identifying unplanned hospital readmission predictors for people with mental illness. Policymakers need to specify the expected standards that written discharge summary must reach general practitioners concurrently at discharge. Hospital clinicians should ensure that discharge summary summaries are distributed to general practitioners for effective ongoing patient care and management. Having an advanced mental health nurse for patients during their transition period needs to be explored to understand how this role could ensure referrals to the general practitioner are eventuated.

Inpatient Early Intervention for Serious Mental Illnesses Is Associated With Fewer Rehospitalizations Compared With Treatment as Usual in a High-volume Public Psychiatric Hospital Setting

OBJECTIVE

High-acuity publicly funded inpatient psychiatric settings usually feature short lengths of stay and high readmission rates. This study examined the influence of an early intervention program for serious mental illnesses (SMI) on readmissions at 6 and 12 months postdischarge at a high-volume, urban public inpatient psychiatric hospital.

METHODS

The Early Onset Treatment Program (EOTP) is a cost-free, 90-day inpatient multidisciplinary service intervention program for uninsured patients who are within 5 years of SMI onset, funded as a pilot program by the Texas state legislature. Rehospitalization rates at 6 and 12 months were extracted from electronic medical records for EOTP participants (n=165) and comparison patients matched on demographics and diagnosis (n=155). The comparison group received treatment as usual at the same psychiatric hospital. Group re-admission rates were compared using logistic and Poisson regression analyses.

RESULTS

Group membership was a significant predictor of rehospitalization (P<0.0001) at both 6 and 12 months. Expressed as 1/odds ratio (OR), the EOTP group was less likely to readmit once and more than once at 6 months postdischarge (1/OR=3.82 and 4.74, respectively) compared with the non-EOTP group. The EOTP group was also less likely to readmit once and more than once at 12 months postdischarge (1/OR=2.96 and 3.51, respectively).

CONCLUSIONS

The results suggest that participation in the EOTP service in this high-acuity setting was significantly related to reduced likelihood of rehospitalization at 6 and 12 months. Several variables may account for this observation, including length of stay, longer medication adherence, environmental stability, and more individualized and extensive psychotherapy treatment.

Inpatient early intervention for serious mental illnesses and post-discharge criminal involvement in a high-volume psychiatric hospital setting

Individuals with serious mental illness (SMI) are at increased risk for arrest and incarceration relative to the same-community population without SMI. Publicly-funded inpatient psychiatric hospitals usually feature short lengths of stay and limited opportunities for extended services that might impact criminal justice involvement after discharge. This study examined the influence of an early intervention program for SMI at a high-volume public psychiatric hospital on involvement in the criminal justice system post-discharge. The Early Onset Treatment Program (EOTP) is an extended service intervention program for uninsured patients who are within 5 years of SMI onset. Criminal justice records (number of arrests with conviction, days of incarceration) were obtained for EOTP participants (n = 164) and comparison patients (n = 164) matched on demographics, diagnosis, and discharge date via propensity score matching. Data were zero-inflated and analyzed using hurdle models, controlling for prior arrests. The EOTP group was less likely to be convicted of at least one crime post-discharge (0 arrests vs. > 0, p < .001), and spent fewer days incarcerated (if incarcerated ≥1 day, p < .03). Participation in the EOTP service was linked to reduced likelihood of post-discharge arrest and days incarcerated. Several alternative variables may contribute to this preliminary observation, including length of stay, medication adherence, longer environmental stability, and individual patient characteristics.

Effects of temporary psychiatric holds on length of stay and readmission risk among persons admitted for psychotic disorders

The practice of involuntary psychiatric commitment is central to the acute treatment of persons with severe mental illness and others in psychiatric crisis. Deciding whether a patient should be admitted involuntarily requires weighing respect for autonomy against beneficence, considering the clinical needs of the patient, and navigating ambiguous legal standards. The relative dearth of information about the impact of involuntary commitment on objective patient outcomes complicates matters ethically, legally, and clinically. To address this gap in the literature, we sought to determine the association between temporary psychiatric holds and length of stay and readmission rates among a retrospective sample of adult patients admitted to a large psychiatric hospital with diagnoses of schizophrenia, schizoaffective disorder, mania, and other psychotic disorders. In total, we identified 460 patients and 559 unique encounters meeting our inclusion criteria; 90 of the encounters were voluntary (involving a temporary psychiatric hold) and 469 were involuntary. Univariable and multivariable analyses suggested that temporary psychiatric holds were not significantly associated with either length of stay or readmission rate. These findings are relevant to clinicians who must decide whether to admit a patient involuntarily, as they suggest that making a patient involuntary is not associated with differences in length of stay or readmission risk.

Implementation and evaluation of a psychoeducation program in an outpatient mental health center

BACKGROUND

Psychoeducation has been shown to improve patient attitudes toward medication.

PROBLEM

A rural mental health agency did not provide a medication psychoeducation group. Medication nonadherence can lead to early psychiatric readmission.

METHODS

An 8-week program of group psychoeducation was delivered to clients with severe and persistent mental illness. The Beliefs about Medications Questionnaire measured changes in patient attitudes toward medication.

RESULTS

Patient satisfaction was high, even though results showed no significant change in attitudes toward medication.

IMPLICATIONS

Future programs might consider different outcome measures, including rates of post-group medication adherence and/or measures of the quality of the therapeutic relationship, which is the most robust indicator of treatment success.

Sociodemographic and clinical characteristics of patients with recurrent psychiatric readmissions in Qatar

OBJECTIVE

To examine the sociodemographic and clinical characteristics of psychiatric patients with recurrent psychiatric readmissions (RPR).

METHODS

A retrospective study was conducted at Hamad General Hospital in Qatar on psychiatric patients with recurrent readmissions from August 2018 to January 2019.

RESULTS

Of 380 psychiatric patients admitted during the study period, 40 (10.5%) were readmitted within 30 days of discharge. Most of the patients who were readmitted were single, male and unemployed. Psychotic spectrum disorder was the most frequent psychiatric condition and was diagnosed in 18 (45%) patients. A total of 30% of the patients were receiving treatment with anti-psychotics, and a similar number received more than one medication. Most patients showed poor or no compliance. Only 12.5% of patients stayed in the hospital for more than 5 weeks in their last admission during the study period.

CONCLUSIONS

Poor compliance, male sex and single status were the most common demographic and clinical features of patients with RPR. Post-discharge psychiatric care should be tailored to meet the requirements of patients prone to RPR.

Risk factors of hospitalization for any medical condition among patients with prior emergency department visits for mental health conditions

BACKGROUND

This longitudinal study identified risk factors for frequency of hospitalization among patients with any medical condition who had previously visited one of six Quebec (Canada) emergency departments (ED) at least once for mental health (MH) conditions as the primary diagnosis.

METHODS

Records of n = 11,367 patients were investigated using administrative databanks (2012-13/2014-15). Hospitalization rates in the 12 months after a first ED visit in 2014-15 were categorized as no hospitalizations (0 times), moderate hospitalizations (1-2 times), and frequent hospitalizations (3+ times). Based on the Andersen Behavioral Model, data on risk factors were gathered for the 2 years prior to the first visit in 2014-15, and were identified as predisposing, enabling or needs factors. They were tested using a hierarchical multinomial logistic regression according to the three groups of hospitalization rate.

RESULTS

Enabling factors accounted for the largest percentage of total variance explained in the study model, followed by needs and predisposing factors. Co-occurring mental disorders (MD)/substance-related disorders (SRD), alcohol-related disorders, depressive disorders, frequency of consultations with outpatient psychiatrists, prior ED visits for any medical condition and number of physicians consulted in specialized care, were risk factors for both moderate and frequent hospitalizations. Schizophrenia spectrum and other psychotic disorders, bipolar disorders, and age (except 12-17 years) were risk factors for moderate hospitalizations, while higher numbers (4+) of overall interventions in local community health service centers were a risk factor for frequent hospitalizations only. Patients with personality disorders, drug-related disorders, suicidal behaviors, and those who visited a psychiatric ED integrated with a general ED in a separate site, or who visited a general ED without psychiatric services were also less likely to be hospitalized. Less urgent and non-urgent illness acuity prevented moderate hospitalizations only.

CONCLUSIONS

Patients with severe and complex health conditions, and higher numbers of both prior outpatient psychiatrist consultations and ED visits for medical conditions had more moderate and frequent hospitalizations as compared with non-hospitalized patients. Patients at risk for frequent hospitalizations were more vulnerable overall and had important biopsychosocial problems. Improved primary care and integrated outpatient services may prevent post-ED hospitalization.

Predictors of 30-day Postdischarge Readmission to a Multistate National Sample of State Psychiatric Hospitals

BACKGROUND

Early discharge from psychiatric inpatient care may pose challenges for the patient's recovery and may incite a rapid return to the hospital. This study identified demographic, clinical, and the continuing of care characteristics associated with rapid readmission into a sample of psychiatric inpatient hospitals.

METHODS

Cross-sectional analysis of 60,254 discharges from state psychiatric hospitals. Logistic regression explored the relationship between predictors of rapid readmission.

RESULTS

Eight percent of discharges were readmitted to the same hospital within 30 days after discharge. Factors significantly related with rapid readmission included white (odds ratio, 1.23; 95% confidence interval, 1.13-1.34), non-Hispanic (1.48, 1.26-1.73), not married (1.53, 1.32-1.76), voluntarily admitted (1.18, 1.05-1.33), with length of stay (LOS) ≤ 7 days (3.52, 3.04-4.08), or LOS 8-31 days (3.20, 2.79-3.66), or LOS 32-92 days (1.91, 1.65-2.22), with a schizophrenia or other psychotic disorders (1.69, 1.46-1.96) or personality disorder (1.76, 1.50-2.06), referred to a setting different from the outpatient (1.27, 1.16-1.40), or with a living arrangement different from private residence (1.54, 1.40-1.68).

CONCLUSIONS

Disparities in rapid readmission rates exist among state psychiatric hospitals. A national overview of the individuals with mental illness at risk of being prematurely discharged may suggests insights into quality initiatives aimed at reducing rapid readmissions into psychiatric inpatient care.

Evaluation of the transitional discharge model on use of psychiatric health services: An interrupted time series analysis

WHAT IS KNOWN ON THE SUBJECT?: The period between hospital discharge and community reintegration is a vulnerable time for people with mental illness due to a lack of continuity of care. They are at a high risk of undesired outcomes, including return to hospital. Many transitional models have been developed. It is important to continue evaluating models for improvement and adaptability to different contexts. The transitional discharge model (TDM) is an intervention that incorporates both continued support from hospital staff after discharge and peer support to facilitate a smooth transition. Previous studies have reported positive outcomes such as increased discharges, decreased readmissions, reduced inpatient length of stay and improved quality of life. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Health service use outcomes were examined separately for acute and tertiary care psychiatric units. Previous TDM studies in Canada only examined tertiary care units, but many patients also receive care in acute care units. Although recent studies of different interventions generally reported decreased readmissions, the current study found readmissions increased after TDM and then decreased over time for acute care units, whereas no change was observed for tertiary care units. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Transitional discharge model evidence supports nursing practice based on interpersonal relations and strategies. Nurses need to be aware of peer support resources to facilitate this part of the model. The effectiveness of TDM may be increased by considering the differences in needs of distinct patient groups, such as those discharged from acute versus tertiary care units. ABSTRACT: Introduction The transitional discharge model (TDM) bridges hospital discharge and community living for people receiving psychiatric services. TDM, based on Peplau's theory of interpersonal relations, ensures continued support from hospital staff until a therapeutic relationship is established with community providers and formal peer support. Aim To compare temporal trends in psychiatric health services use before and after TDM implementation within acute and tertiary care psychiatric units in Ontario, Canada. Method Using health administrative databases, monthly discharges from psychiatric units 3 years prior to 2 years after TDM implementation were identified. Median inpatient length of stay (LOS), psychiatric readmission rates and mental health-related emergency department visit rates were compared using segmented regression analyses. Results Among acute care units, median LOS decreased significantly below the projected historical trend following TDM implementation, while readmissions increased significantly and declined thereafter. No significant changes were found for tertiary care units. Discussion Studies on various interventions have shown decreased readmission rates, whereas the trend differed between acute and tertiary care units in this study. Possible reasons include different patient needs and staff practices. Implications for Practice Needs of people from different unit types should be considered when implementing TDM. Nurses should recognize the development of therapeutic relationships and availability of peer support resources.

Effect of an RN-Led Medication Teaching Initiative on Psychiatric Recidivism

This quality improvement (QI) project analyzed the impact of RN-led medication teaching on readmissions of adult patients discharged from a Midwest psychiatric veterans' hospital. Data on patient participation in the initiative, outpatient medication adherence, and annual 30-day readmission rates were gathered from electronic medical records (EMR) and patient discharge logs from years 2017 and 2018. Forty-three percent of RNs engaged in the initiative. Percentages of patients, who received medication teaching throughout the year, ranged from 27% to 40%. However, self-reported medication adherence following discharge was much higher (73-85%). The RN-led medication teaching initiative did not impact recidivism, and low staff participation was reflected by the downtrend in numbers of patients who received medication teaching throughout the year. Compared to previous years, annual recidivism increased. Fifty-three percent of recidivist patients who received medication teaching reported complete outpatient medication adherence prior to readmission, possibly indicating it is not a significant factor in preventing readmissions or, alternatively, that patients tend to over-report adherence. A small group of patients (19%) accounted for the majority of readmissions annually (70%). This group appears to be most at risk for continued recidivism. Future attempts to improve unit recidivism might benefit from aligning interventional strategies to the common risk factors of chronic recidivists.

Clinical risk model to predict 28-day unplanned readmission via the accident and emergency department after discharge from acute psychiatric units for patients with psychotic spectrum disorders

BACKGROUND

Unplanned readmissions rates are an important indicator of the quality of care provided in a psychiatric unit. However, there is no validated risk model to predict this outcome in patients with psychotic spectrum disorders.

AIMS

This paper aims to establish a clinical risk prediction model to predict 28-day unplanned readmission via the accident and emergency department after discharge from acute psychiatric units for patients with psychotic spectrum disorders.

METHOD

Adult patients with psychotic spectrum disorders discharged within a 5-year period from all psychiatric units in Hong Kong were included in this study. Information on the socioeconomic background, past medical and psychiatric history, current discharge episode and Health of the Nation Outcome Scales (HoNOS) scores were used in a logistic regression to derive the risk model and the predictive variables. The sample was randomly split into two to derive (n = 10 219) and validate (n = 10 643) the model.

RESULTS

The rate of unplanned readmission was 7.09%. The risk factors for unplanned readmission include higher number of previous admissions, comorbid substance misuse, history of violence and a score of one or more in the discharge HoNOS overactivity or aggression item. Protective factors include older age, prescribing clozapine, living with family and relatives after discharge and imposition of conditional discharge. The model had moderate discriminative power with a c-statistic of 0.705 and 0.684 on the derivation and validation data-set.

CONCLUSIONS

The risk of readmission for each patient can be identified and adjustments in the treatment for those with a high risk may be implemented to prevent this undesirable outcome.

Assessment of pharmacy-driven transitional interventions in hospitalized patients with psychiatric disorders

OBJECTIVE

Pharmacy-driven transitions of care (TOC) services for psychiatric patient populations have not been systematically evaluated. The primary objective was to assess pharmacy TOC services for patients hospitalized for psychiatric care at an academic medical center. The secondary objectives were to evaluate the incidence of psychiatric-associated readmission, emergency department (ED) presentations, or both and outpatient clinic follow-up 30 days after discharge, in addition to characterizing the types and frequencies of psychotropic medications prescribed at discharge.

DESIGN

Retrospective, double-cohort study.

SETTING AND PARTICIPANTS

This study compares adult patients who received at least 1 pharmacy-driven TOC intervention before discharge from a psychiatric unit between June 1, 2017, and June 30, 2018, with a historical control group that was discharged between June 1, 2016, and May 31, 2017. Interventions included discharge education on selected high-risk medications, medication barriers assessment, TOC notes to outpatient providers, postdischarge telecommunication, and bedside medication delivery.

OUTCOME MEASURES

The percentage of pharmacy TOC services provided for patients hospitalized for psychiatric care at an academic medical center and the incidence of psychiatric-associated readmission, ED presentations, or both and outpatient clinic follow-up 30 days after discharge.

RESULTS

Fifty-three and 104 electronic health records were reviewed within the control and intervention groups, respectively. The most common interventions were discharge education (22.7%), bedside delivery of medications (22.7%), and medication barrier assessments (22.2%). Adherence (26.8%) and cost (19.5%) were the most common medication barriers. Thirty-day psychiatric-associated readmissions, ED presentations, or both occurred in 32.4% and 15.4% of patients in the control and intervention groups, respectively (P < 0.001). Of the patients, 15.1% and 20.1% presented for outpatient follow-up in the control and intervention groups, respectively (P < 0.001). Statistically, more patients in the control group were prescribed antidepressants at discharge (41.8% vs. 13.1%), whereas more patients in the intervention group were prescribed lithium (10.9% vs. 4.3%) and antipsychotics other than clozapine (40.0% vs. 25.9%).

CONCLUSION

The findings show significant differences in clinical outcomes between patients receiving and not receiving pharmacy-driven transitional interventions. Future prospective studies are warranted to further elucidate these observations.

Community health services and risk of readmission in public psychiatric hospitals of Belo Horizonte, Brazil, 2005-2011

INTRODUCTION

The readmission phenomenon in psychiatry not only reflects the severity and chronicity of the underlying disorders, but also indicates the quality of mental healthcare. In the context of the Brazilian mental healthcare reform, no study has included the availability of outpatient care among the potential determinants for psychiatric readmission.

OBJECTIVE

To correlate the availability of community healthcare resources at the place of residence with the risk of psychiatric readmission.

METHODS

All admission records from 2005 to 2011 in the two public psychiatric hospitals of Belo Horizonte were included (n=19,723). Variables related to patients and characteristics of hospitalization were collected, and indicators of community healthcare coverage were calculated for each place of residence yearly. The outcome of interest was early (<7 days), medium-term (8-30 days) and late (31-365 days) readmissions. The analysis was based on Cox regressions.

RESULTS

The coverage of basic health units and of psychiatrists was associated with lower readmission risks. Coverage of specialized centers for psychosocial attention (Centros de Atenção Psicossocial [CAPS]) and psychologists did not show any protective effects. Young, male patients and those residing outside the capital had greater risk of early readmission. Compared to other psychotic disorders, mood disorders and neurotic disorders were seen as protective factors for readmission.

CONCLUSION

Regionalized attention offered by the CAPS did not result in reduced readmission risks.

Ethnic differences in the diagnosis of schizophrenia and mood disorders during admission to an academic safety-net psychiatric hospital

U.S. Hispanics, now the single largest minority group in the country, face unique mental health disparities. The current study utilizes Andersen's Behavioral Model of Health Service Use to examine ethnic disparities in receiving a schizophrenia or mood disorder diagnosis at psychiatric hospital admission. Our retrospective cohort study examined electronic health record data at an academic safety-net psychiatric hospital for adult patients (n = 5571) admitted between 2010 and 2013. Logistic regression with block-wise entry of predisposing, enabling and need variables was used to examine ethnic disparities in receiving a schizophrenia diagnosis at admission. The block of need factors was the strongest predictor of receiving a schizophrenia diagnosis compared to predisposing and enabling factors. Compared to non-Hispanic whites, Hispanics and African Americans had a greater likelihood of receiving a schizophrenia diagnosis at admission. Additionally, patients diagnosed with schizophrenia had elevated positive and negative symptoms and were more likely to be male, single/unmarried, homeless, high inpatient service utilizers, involuntarily hospitalized, and to exhibit functional impairment at psychiatric hospital admission. To address elevated positive and negative symptoms of schizophrenia, functional impairment, social withdrawal, and high inpatient service utilization, promising psychosocial interventions should be adapted for racial and ethnic minority populations and utilized as an adjuvant to antipsychotic medication.

Implementation and Utilisation of Telepsychiatry in Ontario: A Population-Based Study

OBJECTIVE

Rural areas in Ontario have fewer psychiatrists, making access to specialist mental health care challenging. Our objective was to characterise psychiatrists delivering and patients receiving telepsychiatry in Ontario and to determine the number of patients who accessed a psychiatrist via telepsychiatry following discharge from psychiatric hospitalisation.

METHOD

We conducted a serial panel study to evaluate the characteristics of psychiatrists providing telepsychiatry from April 2007 to March 2013. In addition, we conducted a cross-sectional study for fiscal year 2012-2013 to examine telepsychiatry patient characteristics and create an in-need patient cohort of individuals with a recent psychiatric hospitalisation that assessed if they had follow-up with a psychiatrist in person or through telepsychiatry within 1 year of discharge.

RESULTS

In fiscal year 2012-2013, a total of 3801 people had 5635 telepsychiatry visits, and 7% ( n = 138) of Ontario psychiatrists provided telepsychiatry. Of the 48,381 people identified as in need of psychiatric care, 60% saw a local psychiatrist, 39% saw no psychiatrist, and less than 1% saw a psychiatrist through telepsychiatry only or telepsychiatry in addition to local psychiatry within a year. Three northern regions had more than 50% of in-need patients fail to access psychiatry within 1 year.

CONCLUSIONS

Currently, relatively few patients and psychiatrists use telepsychiatry. In addition, patients scarcely access telepsychiatry for posthospitalisation follow-up. This study, which serves as a preliminary baseline for telepsychiatry in Ontario, demonstrates that telepsychiatry has not evolved systematically to address need and highlights the importance of system-level planning when implementing telepsychiatry to optimise access to care.

Patient Characteristics Associated with Inpatient Psychiatric Re-admissions and the Utility of the READMIT Clinical Risk Index

In response to the problem of frequent 30-day readmissions to inpatient psychiatric facilities, Vigod and colleagues (2015) developed the READMIT clinical risk index to identify risk factors for psychiatric inpatient readmissions. The purpose of this descriptive retrospective study was to examine the effectiveness of the READMIT clinical risk index to identify patients that are at high risk for a 30-day inpatient psychiatric readmission at a state psychiatric hospital in the southeastern US. Data were extracted from the discharge summaries of patients discharged between September 2013 and December 2014. Data collected included patient demographic variables (age, gender, race/ethnicity, primary diagnosis, housing status at discharge, employment, long-acting injectable at discharge, substance abuse, education, and insurance status) and study variables from the READMIT clinical risk index (repeat admission, emergent admission, age, diagnosis and discharge, medical comorbidity, intensity, and time in hospital). The inclusion criterion was age 18 and above. There were no exclusion criteria. Findings indicated that age, insurance status, previous lifetime admissions, 'diagnoses and discharge' scores, and higher READMIT clinical risk index scores were associated with 30-day readmissions. Future research should include a prospective study of the READMIT clinical risk index to assess its predictability of 30-day readmissions and explore possible use of the minimum clinical risk index score to trigger evaluation of patient need for enhanced transitional care services posthospital discharge.

Predictors of psychiatric readmission among patients with bipolar disorder at an academic safety-net hospital

OBJECTIVE

Even with treatment, approximately one-third of patients with bipolar disorder relapse into depression or mania within 1 year. Unfavorable clinical outcomes for patients with bipolar disorder include increased rates of psychiatric hospitalization and functional impairment. However, only a few studies have examined predictors of psychiatric hospital readmission in a sample of patients with bipolar disorder. The purpose of this study was to examine predictors of psychiatric readmission within 30 days, 90 days and 1 year of discharge among patients with bipolar disorder using a conceptual model adapted from Andersen's Behavioral Model of Health Service Use.

METHODS

In this retrospective study, univariate and multivariate logistic regression analyses were conducted in a sample of 2443 adult patients with bipolar disorder who were consecutively admitted to a public psychiatric hospital in the United States from 1 January to 31 December 2013.

RESULTS

In the multivariate models, several enabling and need factors were significantly associated with an increased risk of readmission across all time periods examined, including being uninsured, having ⩾3 psychiatric hospitalizations and having a lower Global Assessment of Functioning score. Additional factors associated with psychiatric readmission within 30 and 90 days of discharge included patient homelessness. Patient race/ethnicity, bipolar disorder type or a current manic episode did not significantly predict readmission across all time periods examined; however, patients who were male were more likely to readmit within 1 year. The 30-day and 1-year multivariate models showed the best model fit.

CONCLUSION

Our study found enabling and need factors to be the strongest predictors of psychiatric readmission, suggesting that the prevention of psychiatric readmission for patients with bipolar disorder at safety-net hospitals may be best achieved by developing and implementing innovative transitional care initiatives that address the issues of multiple psychiatric hospitalizations, housing instability, insurance coverage and functional impairment.

Racial disparities during admission to an academic psychiatric hospital in a large urban area

Multiple studies confirm that African Americans are less likely than non-Hispanic whites to receive needed mental health services. Research has consistently shown that African Americans are under-represented in outpatient mental health treatment settings and are over-represented in inpatient psychiatric settings. Further, African Americans are more likely to receive a diagnosis of schizophrenia and are less likely receive an affective disorder diagnosis during inpatient psychiatric hospitalization compared to non-Hispanic white patients, pointing to a need for examining factors contributing to mental health disparities. Using Andersen's Behavioral Model of Health Service Use, this study examined predisposing, enabling and need factors differentially associated with health service utilization among African American and non-Hispanic white patients (n=5183) during psychiatric admission. We conducted univariate and multivariate logistic regression analyses to examine both main effects and interactions. In the multivariate model, African American race at admission was predicted by multiple factors including younger age, female gender, multiple psychiatric hospitalizations, elevated positive and negative symptoms of psychosis, a diagnosis of schizophrenia and substance use, as well as having housing and commercial insurance. Additionally, screening positive for cannabis use at intake was found to moderate the relationship between being female and African American. Our study findings highlight the importance of examining mental health disparities using a conceptual framework developed for vulnerable populations (such as racial minorities and patients with co-occurring substance use).