Predicting future hospital utilization for mental health conditions

Lithium treatment versus hospitalization in bipolar disorder and major depression patients

BACKGROUND

Preventing hospitalization of major affective disorder patients is a fundamental clinical challenge for which lithium is expected to be helpful.

METHODS

We compared hospitalization rates and morbidity of 260 patients with DSM-5 bipolar or major depressive disorder in the 12 months before starting lithium versus 12 months of its use. We evaluated duration of untreated illness, previous treatments, substance abuse, suicidal status, lithium dose, and use of other medicines for association with new episodes of illness or of symptomatic worsening as well as hospitalization, using bivariate and multivariate analyses.

RESULTS

Within 12 months before lithium, 40.4 % of patients were hospitalized versus 11.2 % during lithium treatment; other measures of morbidity also improved. Benefits were similar with bipolar and major depressive disorders. Independently associated with hospitalization during lithium treatment were: receiving an antipsychotic with lithium, suicide attempt during lithium treatment, lifetime substance abuse, and psychiatric hospitalization in the year before starting lithium, but not diagnosis.

LIMITATIONS

Participants and observation times were limited. The study was retrospective regarding clinical history, lacked strict control of treatments and was not blinded.

CONCLUSIONS

This naturalistic study adds support to the effectiveness of lithium treatment in preventing hospitalization in patients with episodic major mood disorders.

Risk Factors for Inpatient Psychiatric Readmission: Are There Gender Differences?

The objectives of the study were to compare characteristics of women and men discharged from an inpatient psychiatric facility and to identify gender-specific risk factors associated with 30-day and 1-year readmission using administrative data. The sample included adults discharged from an inpatient psychiatric facility in a Midwestern city (N = 1853). The analysis showed that the 30-day readmission rate was significantly lower among women, but there was no difference in the 1-year readmission rate. Risk factors for readmission differed by gender. For example, for 30-day readmission, being on Medicare versus commercial insurance increased the odds for women (OR 3.08; 95 % CI 1.35-7.04) and taking first-generation antipsychotics versus no antipsychotics increased the odds for men (OR 2.09; 95 % CI 1.26-3.48). These findings suggest there are important differences between women and men readmitted to an inpatient psychiatric facility. Future strategies need to take into account gender-specific risk factors in order to improve long-term patient outcomes.

Predictors of psychiatric re-hospitalization in older adults with severe mental illness

OBJECTIVE

Many patients with severe recurrent mental illness are approaching late life; however, little is known about psychiatric re-hospitalization in this population. Our objective was to identify predictors of psychiatric re-hospitalization.

METHODS

This was a retrospective cohort study of all 226 geriatric patients (age ≥65 years) admitted to a tertiary care Canadian inpatient psychiatric unit between 2003 and 2008. The main outcome was psychiatric re-hospitalization in 5-year follow-up post-discharge (e.g. 2008-2013 if a patient had been first admitted in 2008). Multivariate Cox regression analyses were used to identify potential predictors of re-hospitalization.

RESULTS

Over 5-year follow-up, 32.3% (73/226) required psychiatric re-hospitalization. Prior lifetime history of psychiatric admission, currently living in a supervised setting and bipolar disorder diagnosis all independently predicted a lower time to psychiatric re-hospitalization (HRs > 2.0, p < 0.05).

CONCLUSIONS

The rate of psychiatric re-hospitalization is high in older adults admitted for severe mental illness. Clinicians should be aware of the especially high rates of re-hospitalization in geriatric psychiatric inpatients with bipolar disorder, previous psychiatric admissions, or those living in a supervised setting. Future research could investigate approaches to prevent psychiatric re-hospitalization in these vulnerable sub-populations.

Psychiatric Rehospitalization: Development of a Person-Level Indicator for Care Planning and Quality Assurance

OBJECTIVE

Rehospitalization affects quality of life and health system efficiency. Although this outcome is a common quality indicator, there are few applications for linking evaluation to risk mitigation at the person level. This study examined risk factors for rehospitalization to develop an application for supporting care planning based on the interRAI Mental Health (MH), a commonly available assessment system.

METHOD

A retrospective analysis was performed of 53,538 psychiatric inpatients assessed with the interRAI MH in Ontario, Canada, between January 2010 and May 2014. The interRAI MH is a clinical system for assessing demographic variables, service utilization, functional status, and clinical needs. Logistic regression models and survival analysis were used to develop the Rehospitalization Clinical Assessment Protocol by predicting 90-day rehospitalization to any inpatient mental health bed.

RESULTS

Variables found to significantly predict rehospitalization included 6 or more lifetime hospitalizations (odds ratio [OR] = 1.40), positive symptoms of psychosis (OR = 1.23), a secondary substance use disorder (OR = 1.13), and being at risk of harm to self (OR = 1.11). Using these variables, the Rehospitalization Clinical Assessment Protocol was derived whereby those at level 2 (highest) were 74% more likely to be rehospitalized within 90 days than those at level 0. By 1-year postdischarge, 30% at level 2 and 18% at level 0 were rehospitalized.

CONCLUSIONS

The Rehospitalization Clinical Assessment Protocol is an application supporting care planning for targeting risk of rehospitalization whenever a person is assessed with the interRAI MH. Further exploration is needed to understand how the use of this Clinical Assessment Protocol, service processes, and health system structures further mediate or moderate psychiatric rehospitalization risk.

Gender-specific research on mental illness in the emergency department: current knowledge and future directions

Mental illness is a growing, and largely unaddressed, problem for the population and for emergency department (ED) patients in particular. Extensive literature outlines sex and gender differences in mental illness' epidemiology and risk and protective factors. Few studies, however, examined sex and gender differences in screening, diagnosis, and management of mental illness in the ED setting. Our consensus group used the nominal group technique to outline major gaps in knowledge and research priorities for these areas, including the influence of violence and other risk factors on the course of mental illness for ED patients. Our consensus group urges the pursuit of this research in general and conscious use of a gender lens when conducting, analyzing, and authoring future ED-based investigations of mental illness.

Extending the validity of the Personality Assessment Inventory's (PAI) Level of Care Index (LOCI) in multiple psychiatric settings

The purpose of this study was to extend the validity and clinical application of the Level of Care Index (LOCI) from the Personality Assessment Inventory (PAI) in 2 independent psychiatric samples. In Study 1 (N = 201), the LOCI effectively differentiated level of care (inpatients from outpatients), and was also meaningfully associated with risk factors for psychiatric admission (e.g., suicidal ideation, self-harming behavior, previous psychiatric admission, etc.), even after controlling for other demographic variables (range of Cohen's ds = 0.57-1.00). Likewise, the LOCI also incremented other risk indicators (suicide and violence history) and relevant PAI indexes (i.e., Mean Clinical Elevation, and Suicide and Violence Potential) in predicting level of care, and explained an additional 6% to 12% of variance in the target variable. Diagnostic efficiency analyses indicated LOCI scores in the range of 15 to 18 optimize positive and negative predictive power, and classification rate. In Study 2 (N = 96), the LOCI was found to be significantly higher in those with a recent psychiatric admission within the past 6 months (d = 0.64), as compared to those without an admission. Similarly, those who were admitted for suicide risk had significantly higher mean LOCI scores as compared to those who did not (d = 0.70). The clinical implications of these findings and potential application of the LOCI are discussed.

The frequency of rehospitalization and associated factors in Colombian psychiatric patients: a cohort study

BACKGROUND

The rehospitalization of patients with mental disorders is common, with rehospitalization rates of up to 80% observed in these patients. This phenomenon negatively impacts families, patients, and the health care system. Several factors have been associated with an increased likelihood of rehospitalization. This study was aimed at determining the frequency and the factors associated with rehospitalization in a psychiatric clinic.

METHODS

We performed a prospective cohort study with 361 patients who were hospitalized at the Clinic of Our Lady of Peace in Bogota, Colombia from August-December 2009. We calculated the incidence rates of rehospitalization and the risk factors using Cox regression.

RESULTS

Overall, 60% of the patients in this cohort were rehospitalized during the year that followed the index event. The variables associated with rehospitalization were separated, divorced, or single status; higher socio-economic strata; a longer duration of index hospitalization; and a diagnosis of substance abuse, schizophrenia, bipolar disorder, or depression.

CONCLUSIONS

The rehospitalization rate in our study was as high as reported in other studies. The associated factors with it in this group, may contribute to the design of programs that will reduce the frequency of rehospitalization among patients with mental disorders, in countries like Colombia. Additionally, these results may be useful in interventions, such as coping skills training, psycho-education, and community care strategies, which have been demonstrated to reduce the frequency of rehospitalization.

Effect of health insurance on the utilisation of allied health services by people with chronic disease: a systematic review and meta-analysis

Allied health services benefit the management of many chronic diseases. The effects of health insurance on the utilisation of allied health services has not yet been established despite health insurance frequently being identified as a factor promoting utilisation of medical and hospital services among people with chronic disease. The objective of this systematic review and meta-analysis was to establish the effects of health insurance on the utilisation of allied health services by people with chronic disease. Medline (Ovid Medline 1948 to Present with Daily Update), EMBASE (1980 to 1 April 2011), CINAHL, PsychINFO and the Cochrane Central Register of Controlled Trials were searched to 12 April 2011 inclusive. Studies were eligible for inclusion if they were published in English, randomised controlled trials, quasi-experimental trials, quantitative observational studies and included people with one or more chronic diseases using allied health services and health insurance. A full-text review was performed independently by two reviewers. Meta-analyses were conducted. One hundred and fifty-eight citations were retrieved and seven articles were included in the meta-analyses. The pooled odds ratio (95% CI) of having insurance (versus no insurance) on the utilisation of allied health services among people with chronic disease was 1.33 (1.16-1.52; P<0.001). There was a significant effect of insurance on the utilisation of non-physiotherapy services, pooled odds ratio (95% CI) 4.80 (1.46-15.79; P=0.01) but having insurance compared with insurance of a lesser coverage was not significantly associated with an increase in physiotherapy utilisation, pooled odds ratio (95% CI) 1.53 (0.81-2.91; P=0.19). The presence of co-morbidity or functional limitation and higher levels of education increased utilisation whereas gender, race, marital status and income had a limited and variable effect, according to the study population. The review was limited by the considerable heterogeneity in the research questions being asked, sample sizes, study methodology (including allied health service), insurance type and dependent variables analysed. The presence of health insurance was generally associated with increased utilisation of allied health services; however, this varied depending on the population, provider type and insurance product.

Patterns of mental health care utilisation: distribution of services and its predictability from routine data

OBJECTIVES

Explore if a multi-dimensional analytic approach to routinely registered data provides a comprehensive way to characterise utilisation patterns, and to test if the patients' functional status is a predictor for the use of services.

METHOD

We linked register contact data during a two-year period, including all types of specialised mental health services, in the population of a Norwegian county. Cox regression was applied in the models for prediction of admission and readmission.

RESULTS

Great variability and complexity in patterns of utilisation were found, including multiple transitions between in-patient and out-patient statuses. The distribution of services was characterised by a small group of patients receiving a disproportionally large amount of resources. A majority of 77% appeared as out-patients only. Severity of symptoms as well as of dysfunction, as assessed by the split GAF-score, differentiated amongst utilisation groups. Both dimensions were significant predictors for admission. In contrast, only the severity of dysfunction predicted readmission.

CONCLUSION

Multi-dimensional data architecture and analytical perspectives can be applied to routine data, and should be used to analyse the diverse patterns of utilisation. Risk populations could be predicted by routinely registered information on functional status.

[Medical care utilization status and associated factors with extended hospitalization of psychiatric patients in Korea]

OBJECTIVES

This study was performed to examine medical care utilization of psychiatric patients and to explore patients' characteristics associated with extended hospitalization.

METHODS

Data were extracted from information of Korean Health Insurance Review and Assessment Service. All data associated with admission and outpatient clinic visit were analysed by patient characteristics. We selected first psychiatric admission patients who diagnosed mental and behavioral disorders due to use of alcohol (main disease code: F10), schizophrenia and related disorders (F20-29) and mood disorders (F30~33) from January to June 2005. We analysed status of admission, mean length of stay, regular access to outpatient clinic and rates of extended hospitalization during 3 years. Bivariate and multivariate analyses were conducted to identify factors associated with extended hospitalization.

RESULTS

The number of psychiatric patients during the first six month of 2005 was 30,678. The mean length of stay was longest for schizophrenia and related disorders but shortest for mood disorders. Patients who experienced an extended hospitalization were 18.8% of total subjects. An extended hospitalization was more common in schizophrenia and related disorders than other diagnostic groups. The factors associated with the extended hospitalization were age, sex, diagnostic group, type of insurance and medical care utilization groups.

CONCLUSIONS

The study indicates the problem of an extended hospitalization for psychiatric patients in Korea. It is suggested that variations in rates of extended hospitalization among medical care utilization group may need an active early intervention system in psychiatric treatment service. Particular attention needs to be devoted to planning and funding for reducing extended hospitalization.

Reducing 30-day inpatient psychiatric recidivism and associated costs through intensive case management

PURPOSE OF THE STUDY

Intensive case management (ICM) holds promise in reducing 30-day inpatient psychiatric recidivism and associated costs. The purpose of this study is to determine the impact of ICM on 30-day inpatient psychiatric recidivism and associated costs among adult health plan members at elevated risk of psychiatric hospitalization.

PRIMARY PRACTICE SETTING

Psychiatric settings.

METHODOLOGY AND SAMPLE

An intent-to-treat, historical control design was used to examine utilization differences between 305 intervention group members eligible to receive ICM services and a cohort of 347 baseline group members identified retrospectively using identical criteria during a similar 1-year time period before implementation of the ICM program.

RESULTS

The 30-day recidivism rate for baseline group members was 29.11% as compared with 8.52% among intervention group members. Logistic regression results indicated a significant main effect for the ICM intervention. Inpatient psychiatric costs for the 30-day outcome period were on $1,528.91 lower per member in the intervention group. Regression results indicated a main effect for the ICM intervention. Program costs were estimated at $41.39 per member.

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

The ICM intervention was associated with significant reductions in inpatient, psychiatric 30-day readmission rates, and associated costs among adult members who are at elevated risk of inpatient, psychiatric recidivism. The intervention, enrollment process, and measurement strategies can be adapted for use by case managers in a variety of different settings.

Medicaid patients at high risk for frequent hospital admission: real-time identification and remediable risks

Patients with frequent hospitalizations generate a disproportionate share of hospital visits and costs. Accurate determination of patients who might benefit from interventions is challenging: most patients with frequent admissions in 1 year would not continue to have them in the next. Our objective was to employ a validated regression algorithm to case-find Medicaid patients at high-risk for hospitalization in the next 12 months and identify intervention-amenable characteristics to reduce hospitalization risk. We obtained encounter data for 36,457 Medicaid patients with any visit to an urban public hospital from 2001 to 2006 and generated an algorithm-based score for hospitalization risk in the subsequent 12 months for each patient (0 = lowest, 100 = highest). To determine medical and social contributors to the current admission, we conducted in-depth interviews with high-risk hospitalized patients (scores >50) and analyzed associated Medicaid claims data. An algorithm-based risk score >50 was attained in 2,618 (7.2%) patients. The algorithm's positive predictive value was equal to 0.67. During the study period, 139 high-risk patients were admitted: 60 met inclusion criteria and 50 were interviewed. Fifty-six percent cited the Emergency Department as their usual source of care or had none. Sixty-eight percent had >1 chronic medical conditions, and 42% were admitted for conditions related to substance use. Sixty percent were homeless or precariously housed. Mean Medicaid expenditures for the interviewed patients were $39,188 and $84,040 per patient for the years immediately prior to and following study participation, respectively. Findings including high rates of substance use, homelessness, social isolation, and lack of a medical home will inform the design of interventions to improve community-based care and reduce hospitalizations and associated costs.

The influence of institutional characteristics on length of stay for psychiatric patients: a national database study in South Korea

The institutionalization of psychiatric patients has put a tremendous burden on many societies, but few studies have examined the effects of institutional characteristics on patient length of stay (LOS). This paper investigated the association between institutional characteristics and LOS for 160,517 psychiatric patients in South Korea by applying a two-level modeling technique to administrative claims databases covering the entire patient population. Patient LOS, expressed in terms of days, was analyzed by taking account of institutional type, ownership, location, inpatient capacity, staffing, and patient demographics. The characteristics of inpatients were used as control variables and consisted of gender, age, sub-diagnosis, and the type of national health security program. The main findings of this study are: (1) patient LOS was 69% longer at psychiatric hospitals than at tertiary-care hospitals; (2) neither location nor inpatient capacity was associated with LOS; (3) larger staffs reduced LOS; and (4), LOS increased with a higher proportion of male inpatients, inpatients > or =65 years old, or inpatients diagnosed with organic or schizophrenic disorders, possibly through contextual effects. The results of this study suggest that researchers and policy makers could improve their assessment of psychiatric patient LOS and its association with health outcome by taking into account institutional characteristics and using multi-level analyses.

Reinstitutionalization following psychiatric discharge among VA patients with serious mental illness: a national longitudinal study

Patterns of reinstitutionalization following psychiatric hospitalization for individuals with serious mental illnesses (SMI) vary by medical and psychiatric health care settings. This report presents rates of reinstitutionalization across care settings for 35,527 patients following psychiatric discharge in the Department of Veterans Affairs (VA) health system, a national health care system. Over a 7-year follow-up period, 30,417 patients (86%) were reinstitutionalized. Among these patients, 73% were initially reinstitutionalized to inpatient psychiatric settings. Homelessness, medical morbidity, and substance use were associated with increased risks for reinstitutionalization. Despite the VA's increased emphasis on outpatient services delivery, the vast majority of patients experienced reinstitutionalization in the follow-up period. Study findings may inform efforts to refine psychiatric and medical assessment for service delivery for this vulnerable population.