DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience

Influencing factors of length of stay among repeatedly hospitalized patients with mood disorders: a longitudinal study in China

BACKGROUND

Patients with mood disorders usually require repeated and prolonged hospitalization, resulting in a heavy burden on healthcare resources. This study aims to identify variables associated with length of stay(LOS) of repeatedly hospitalized patients with mood disorders and to provide information for optimizing psychiatry management and healthcare resource allocation.

METHODS

Electronic medical records (EMRs) of repeatedly hospitalized patients with mood disorders from January 2010 to December 2018 were collected and retrospectively analyzed. Chi-square and t-test were adopted to investigate the differences in characteristics between the two groups of short LOS and long LOS. Generalized estimating equation (GEE) was conducted to investigate potential factors influencing LOS.

RESULTS

A total of 2,009 repeatedly hospitalized patients with mood disorders were enrolled, of which 797 (39.7%) had a long LOS and 1,212 (60.3%) had a short LOS. Adverse effects of treatment, continuous clinical manifestation, chronic onset type, suicide attempt, comorbidity and use of antidepressants were positively associated with long LOS among all repeatedly hospitalized patients with mood disorders (P < 0.050). For patients with depression, factors associated with long LOS consisted of age, monthly income, adverse effects of treatment, continuous clinical manifestation, suicide attempt and comorbidity (P < 0.050). Whereas, for patients with bipolar disorder (BD), adverse effects of treatment, four or more hospitalizations and use of antidepressants contributed to the long LOS (P < 0.050). Influencing factors of LOS also vary among patients with different effectiveness of treatment.

CONCLUSION

The LOS in repeatedly hospitalized patients with mood disorders was influenced by multiple factors. There were discrepancies in the factors affecting LOS in patients with different diagnoses and effectiveness of treatment, and specific factors should be addressed when evaluating the LOS.

Long-acting injectable antipsychotics for the treatment of bipolar disorder: evidence from mirror-image studies

Clinical trials and real-world data have shown that long-acting injectable antipsychotics (LAIs) might be an effective therapeutic option also for people with bipolar disorder (BD). However, complementing evidence from mirror-image studies investigating LAIs in BD is scattered and has not been systematically evaluated so far. We thus performed a review of observational mirror-image studies testing the effectiveness of LAI treatment on clinical outcomes in people with BD. Embase, MEDLINE, and PsycInfo electronic databases were systematically searched (via Ovid) up to November 2022. We included six mirror-image studies that compared relevant clinical outcomes between the 12-months after (post-treatment period) and the 12-months before (pre-treatment period) the initiation of a LAI treatment in adults with BD. We found that LAI treatment is associated with a significant reduction in days spent in hospital and number of hospitalizations. Moreover, LAI treatment seems to be associated with a significant decrease in the proportion of individuals with at least one hospital admission, even though data on this outcome were reported by just two studies. In addition, studies consistently estimated a significant reduction of hypo-/manic relapses after LAI treatment initiation, while the effect of LAIs for depressive episodes is less clear. Finally, LAI treatment initiation was associated with a lower number of emergency department visits in the year after LAI initiation. The findings of this review seem to suggest that the use of LAIs is an effective strategy to improve major clinical outcomes in people with BD. Nonetheless, additional research, based on standardized assessments of prevalent polarity and relapses, is needed to identify the clinical characteristics of individuals with BD who are most likely to benefit from a LAI treatment.

Analysis of Factors Influencing Telemedicine-Based Psychiatric Extended Care and Care of Psychiatric Patients

The aim of this paper is to understand the current situation of the care burden of patients with mental illness in remission and the factors affecting it in order to provide a scientific basis for targeted interventions. This paper reviews the concept of telemedicine, the application of telemedicine in home hospice care, and the remaining problems and improvement strategies of telemedicine in home hospice care, with the aim of providing a reference for the application of telemedicine in home hospice care in China. The Zarit Burden Scale, Family Care Scale, and Social Functioning Scale were used to conduct one-to-one interviews with 201 schizophrenic patients in remission and their primary caregivers in Hubei Province. Among them, 66, 72, and 25 cases (32.8%, 35.9%, and 12.4%) had mild, moderate, and severe burdens, respectively. Caregivers' family care and patients' social functioning were generally poor. The results of multiple linear regression analysis showed that caregiver age, caregiver education, caregiver family care, patient medical costs, and patient social functioning were factors influencing the burden of care for patients with schizophrenia in remission (P < 0.05). The government, mental health centers, and families should understand the level of caregiving burden of patients with schizophrenia in remission and the factors influencing it and provide targeted measures to reduce the caregiving burden.

Relationship Between Time of Admission, Help-Seeking Behavior, and Psychiatric Outcomes: "From Dusk Till Dawn"

INTRODUCTION

Day and time of admission influence treatment outcomes and prognosis in several medical specialties; this seems related to resources' ability. It is largely unknown whether this also applies to mental health services. We investigate the relationship between time of admission, patients' demographic and clinical profile, and treatment outcomes.

METHODS

Demographic and clinical profiles of admitted and discharged patients to a general psychiatric ward between January 1st, 2013 and December 31st, 2020, were analyzed. In addition, we used the last year (i.e., 2020) to monitor rehospitalization. Time of admission was defined as weekdays (working day, weekend) and dayshifts (daytime, dusk, and dawn).

RESULTS

During the study period, 12,449 patient admissions occurred. The mean age of the sample was 48.05 ± 20.90 years, with 49.32% (n = 6,140) females. Most admissions (n = 10,542, 84%) occurred on working days. Two-fifths of admissions (39.7%, n = 4,950) were compulsory, with a higher rate outside daytime hours. Patients had slight differences in the clinical profile, resulting from evaluating the different items of the Health of Nation Outcome Scale (HoNOS). Patients admitted on night shifts, weekends, and holidays showed a shorter length of stay; patients compulsorily admitted during daytime (disregarding the day of the week) had a longer length of stay. All patient groups achieved a robust clinical improvement (i.e., an HoNOS score reduction of around 50%), with similar readmission rates.

DISCUSSION

The main finding of our study is the relationship between "daytime hours" and fewer compulsory admissions, a result of the interplay between demographics, clinical characteristics, and out-of-clinic service availability (such as ambulatory psychiatric- psychological praxis; day-clinic; home-treatment). The differing clinical profile, in turn, determines differences in treatment selection, with patients admitted after office hours experiencing a higher rate of coercive measures. The shorter length of stay for out-of-office admissions might result from the hospitalization as an intervention. These results should encourage the implementation of outpatient crisis-intervention services, available from dusk till dawn.

Nurse Staffing and Health Outcomes of Psychiatric Inpatients: A Secondary Analysis of National Health Insurance Claims Data

PURPOSE

The present study investigated the association between nurse staffing and health outcomes among psychiatric inpatients in Korea by assessing National Health Insurance claims data.

METHODS

The dataset included 70,136 patients aged 19 years who were inpatients in psychiatric wards for at least two days in 2016 and treated for mental and behavioral disorders due to use of alcohol; schizophrenia, schizotypal and delusional disorders; and mood disorders across 453 hospitals. Nurse staffing levels were measured in three ways: registered nurse-to-inpatient ratio, registered nurse-to-adjusted inpatient ratio, and nursing staff-to-adjusted inpatient ratio. Patient outcomes included length of stay, readmission within 30 days, psychiatric emergency treatment, use of injected psycholeptics for chemical restraint, and hypnotics use. Relationships between nurse staffing levels and patient outcomes were analyzed considering both patient and system characteristics using multilevel modeling.

RESULTS

Multilevel analyses revealed that more inpatients per registered nurse, adjusted inpatients per registered nurse, and adjusted inpatients per nursing staff were associated with longer lengths of stay as well as a higher risk of readmission. More adjusted inpatients per registered nurse and adjusted inpatients per nursing staff were also associated with increased hypnotics use but a lower risk of psychiatric emergency treatment. Nurse staffing levels were not significantly associated with the use of injected psycholeptics for chemical restraint.

CONCLUSION

Lower nurse staffing levels are associated with negative health outcomes of psychiatric inpatients. Policies for improving nurse staffing toward an optimal level should be enacted to facilitate better outcomes for psychiatric inpatients in Korea.

Factors associated with length of stay and readmission in acute psychiatric inpatient services in Portugal

Assessing the factors that influence duration and number of hospitalizations may support mental health services planning and delivery. This study examines the factors associated with length of stay and readmission in Portuguese psychiatric inpatient services during 2002, 2007 and 2012. Data from all admissions were extracted from clinical files. Logistic regression models estimated the association between length of stay (<17 vs ≥17 days) and number of admissions per year (1 vs >1 admission) with sociodemographic, clinical, and contextual factors. Older age, a diagnosis of psychosis, and compulsory admission were associated with higher odds of longer length of stay. Being married, secondary education, suicide attempt, a diagnosis of substance use and "other mental disorders", being admitted in 2012, and two of the psychiatric inpatient services associated with lower odds of longer length of stay. Being retired (or others), a diagnosis of psychosis, compulsory admission, and psychiatric service were associated with increased odds of readmission. Older age, and secondary and higher education were associated with lower odds of readmission. The findings indicate that multiple factors influence length of stay and readmission. Identifying these factors provides useful evidence for clinicians and policy makers to design more targeted and cost-effective interventions.

Length of stay among multi-ethnic psychiatric inpatients in the United Kingdom

BACKGROUND

Disproportionate rates of psychiatric admissions and length of stay (LOS)¹ have been repeatedly observed among Black and Minority Ethnic (BME)² groups with severe mental illness (SMI), specifically those of Black Caribbean heritage. Commensurate understanding of the mechanisms underlying this observation remains poorly understood, warranting further attention.

METHOD

A quasi-experimental retrospective cohort design was used to examine 11,617 psychiatric inpatient admissions in London, U.K. Variations in LOS across four ethnic groups (i.e., Black Caribbean, Black African, White British, and Asian) were recorded. Multivariate logistic regression was then used to determine the extent to which demographic (age, marital status, gender, homeless at admission), clinical (primary diagnosis, substance misuse), and behavioral variables (violent behavior, deliberate self-harm, victimization) explained any observed differences across ethnic groups.

RESULTS

Univariate analyses revealed that while Black Caribbean and African minority group admissions were significantly more likely to be a longer (>28 days) than shorter (≤28 days) LOS, White British admissions demonstrated the opposite association. After adjusting for demographic, clinical, and behavioral factors, the multivariate logistic regression only partially explained the association between Black Caribbean and African admissions and longer LOS compared to White British admissions. The regression model explained approximately 18% of the observed variance in LOS.

CONCLUSIONS

These findings indicate that additional variables, such as treatment, system related, and discrimination-based factors, should be examined to better understand the complex relationship between BME groups and LOS in order to improve the experience and outcomes of these vulnerable psychiatric populations.

[Staffing levels and patient-related outcomes : Systematic literature review on international evidence]

The objective of this study was to systematically review the international literature with respect to significant links between staffing levels or qualification on the one hand and patient-related outcomes on the other. Of the initial 7778 abstracts identified by means of a complex search strand in PubMed and CINAHL, 51 could finally be included in a qualitative synthesis. A total of nine different patient-related outcome categories with significant associations on an at least ordinally scaled level were distinguished. None of the studies included had a (quasi-)experimental research design. Despite, in some instances, high numbers of cases at multiple sites and efforts to control obvious confounding variables by regression analysis, no evidence-based conclusions for health policy or clinical practice can be drawn from the available observational studies. There is therefore a considerable need for prospective randomized or at least quasi-experimental studies also as accompanying research on novel models of financing.

Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission

BACKGROUND

Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD) also met criteria for the other diagnosis. Yet limited data are available concerning the potential impact of co-occurring BPD and/or BPD features on the course or outcome in patients with BD. Therefore, this study examined this comorbidity utilizing the standardized Borderline Personality Questionnaire (BPQ).

METHODS

This study involved 714 adult patients with a primary diagnosis of BD per DSM-IV criteria who were admitted to the psychiatric unit at an academic hospital in Houston, TX between July 2013 and July 2018. All patients completed the BPQ within 72 hours of admission. Statistical analysis was used to detect correlations between severity of BD, length of stay (LOS), and scores on the BPQ. A machine learning model was constructed to predict the parameters affecting patients' readmission rates within 30 days.

RESULTS

Analysis revealed that the severity of certain BPD traits at baseline was associated with mood state and outcome measured by LOS. Inpatients with BD who were admitted during acute depressive episodes had significantly higher mean scores on 7 of the 9 BPQ subscales (P<0.05) compared with those admitted during acute manic episodes. Inpatients with BD with greater BPQ scores on 4 of the 9 BPQ subscales had significantly shorter LOS than those with lower BPQ scores (P<0.05). The machine learning model identified 6 variables as predictors for likelihood of 30-day readmission with a high sensitivity (83%), specificity (77%), and area under the receiver operating characteristic curve of 86%.

CONCLUSIONS

Although preliminary, these results suggest that inpatients with BD who have higher levels of BPD features were more likely to have depressive rather than manic symptoms, fewer psychotic symptoms, and a shorter LOS. Moreover, machine learning models may be particularly valuable in identifying patients with BD who are at the highest risk for adverse consequences including rapid readmission.

Factors Associated with Length of Stay in a Swiss Mental Hospital

The aim of this study was to identify factors which are associated with the length of stay in a Swiss mental hospital. Demographical and clinical data of all patients who were admitted to the adult inpatient psychiatric service of the Federal State of Aargau in 2016 were examined regarding their association with the length of stay. The study sample included N = 1479 patients. Mean length of stay was 33 days and the median equalled 26 days. Higher age and a primary diagnosis of psychotic or affective disorder were associated with increased length of stay. In contrast, foreign nationality and compulsory admission were associated with reduced length of stay. While some of our findings were in line with recent findings from Italy and the United Kingdom, others could not be replicated.

Understanding geographic variations in psychiatric inpatient admission rates: width of the variations and associations with the supply of health and social care in France

BACKGROUND

Inpatient care accounts for the majority of mental health care costs and is not always beneficial. It can indeed have detrimental consequences if not used appropriately, and is unpopular among patients. As a consequence, its reduction is supported by international recommendations. Varying rates of psychiatric inpatient admissions therefore deserve to draw attention of researchers, clinicians and policy makers alike as such variations can challenge quality, equity and efficiency of care. In this context, our objectives were first to describe variations in psychiatric inpatient admission rates across the whole territory of mainland France, and second to identify their association with characteristics of the supply of care, which can be targeted by dedicated health policies.

METHODS

Our study was carried out in French psychiatric sectors' catchment areas for the year 2012. Inpatient admission rates per 100,000 adult inhabitants were calculated using data from the national psychiatric discharge database. Their variations were described numerically and graphically. We then carried out a negative binomial regression to identify characteristics of the supply of care (public and private care, health and social care, hospital and community-based care, specialised and non-specialised care) which were associated with these variations while adjusting our analysis for other relevant factors, in particular epidemiological differences.

RESULTS

Considerable variations in inpatient admission rates were observed between psychiatric sectors' catchment areas and were widespread on the French territory. Institutional characteristics of the hospital to which each sector was linked (private non-profit status, specialisation in psychiatry and participation to teaching activities and to emergency care) were associated with inpatient admission rates. Similarly, an increase in the availability of community-based private psychiatrists was associated with a decrease in the inpatient admission rate while an increase in the capacity of housing institutions for disabled individuals was associated with an increase in this rate.

CONCLUSIONS

Our results advocate for a homogenous repartition of health and social care for mental disorders in lines with the health needs of the population served. This should apply particularly to community-based private psychiatrists, whose heterogeneity of repartition has often been underscored.

Socio-demographic characteristics and factors associated with hospitalization in psychiatry of old age patients: an international comparison between Ireland and Turkey

BACKGROUND

Taking predictors of hospitalization characteristics into consideration internationally would broaden our understanding of this population on a local basis.

AIMS

We aimed to examine and compare socio-demographic profiles along with hospitalization characteristics including length of hospital stay (LOS), reasons for admission and diagnoses among older adult inpatients hospitalized in Ireland and Turkey, and to assess factors predicting these features.

METHODS

The admission charts of 356 psychiatric inpatients over 65 years of age who were admitted to two different acute psychiatric hospitals (Sligo/Ireland and Istanbul/Turkey) were analysed by means of descriptive modalities and logistic regression.

RESULTS

There were significant differences in several domains of socio-demographics, reasons of admission and diagnoses. LOS was significantly longer in Ireland. Living alone was the only significant predictor for longer LOS in both countries, whereas in addition to living alone, younger age was also a contributor for longer LOS in Turkey.

DISCUSSION

Given that the only factor predicting LOS both in Turkey and Ireland was living alone, helping to identify more acceptable ways of providing social support for living arrangements constitutes an important service to shorten LOS in old age psychiatric population.

CONCLUSIONS

It is possible to infer that independent from the cultural diversities, living arrangement is a consistent entity to influence length of hospital stay in older adult population.

The Development of Psychiatric Services Providing an Alternative to Full-Time Hospitalization Is Associated with Shorter Length of Stay in French Public Psychiatry

International recommendations for mental health care have advocated for a reduction in the length of stay (LOS) in full-time hospitalization and the development of alternatives to full-time hospitalizations (AFTH) could facilitate alignment with those recommendations. Our objective was therefore to assess whether the development of AFTH in French psychiatric sectors was associated with a reduction in the LOS in full-time hospitalization. Using data from the French national discharge database of psychiatric care, we computed the LOS of patients admitted for full-time hospitalization. The level of development of AFTH was estimated by the share of human resources allocated to those alternatives in the hospital enrolling the staff of each sector. Multi-level modelling was carried out to adjust the analysis on other factors potentially associated with the LOS (patients', psychiatric sectors' and environmental characteristics). We observed considerable variations in the LOS between sectors. Although the majority of these variations resulted from patients' characteristics, a significant negative association was found between the LOS and the development of AFTH, after adjusting for other factors. Our results provide first evidence of the impact of the development of AFTH on mental health care and will provide a lever for policy makers to further develop these alternatives.

Predictors of Length of Stay in an Inpatient Psychiatric Unit of a General Hospital in Perugia, Italy

The aim of this study was to understand which of a number of factors are most associated with psychiatric inpatient length of stay (LoS). We hypothesized that a longer LoS would be predicted by: older age, male gender, unmarried marital status, foreign nationality, more than one hospitalization, being hospitalized involuntarily, psychotic symptoms and behavioral dyscontrol at admission, discharge diagnosis of psychotic and personality disorders, not having a substance use disorder, treatment with more than one class of medications, and being discharged to a community residential facility. All admissions to the Psychiatric Inpatient Unit of Santa Maria della Misericordia, Perugia Hospital, Umbria, Italy, from June 2011 to June 2014, were included in a medical record review. Bivariate analyses were performed and a multiple linear regression model was built using variables that were associated (p < .05) with LoS in bivariate tests. The study sample included 1236 patients. In the final, most parsimonious regression model, five variables independently explained 18 % of variance in LoS: being admitted involuntarily, being admitted for thought disorders, not having a substance-related disorder, having had more than one hospitalization, and being discharged to a community residential facility. LoS on this inpatient psychiatric unit in Umbria was associated with a number of sociodemographic and clinical characteristics. Knowledge of these and other predictors of LoS will be increasingly important to, when possible, reduce the length of restrictive, costly hospitalizations and embrace community-based services.

Differences in the use of involuntary admission across the Veneto Region: which role for individual and contextual variables?

AIMS

The first aim of this study is to compare involuntary admissions across the Veneto Region in Italy. The second aim is to explore the relation between mental health services provision, characteristics of population, individual factors and involuntary admissions.

METHODS

For 21 Mental Health Departments (MHDs) in the Veneto Region (Italy), the average population prevalence rate of involuntary admissions between 2000 and 2007 and the percentage of involuntary admissions were calculated. Chi-square tests for equality of proportions were used to test hypotheses. Variables at the individual, contextual and organisational levels were used in multiple regressions, with the involuntary admission data as dependent variables.

RESULTS

The average prevalence rate of involuntary commitment was 12.75 ranging from 1.96 to 27.59 across MHDs . About 75% of the involuntary admissions referred to psychotic patients, and almost half of patients were aged 25-44. Significant differences among MHDs emerged; higher percentages of involuntary admissions were generally found in densely populated areas. Higher ageing indices and rates of social workers were found as predictors of the prevalence rate. In the multilevel regression, being males and psychotic significantly increased involuntary admissions, while the percentage of singles in population decreased it.

CONCLUSIONS

This study contributes to define the specific contribution of each factor predicting the use of involuntary admission, even within areas under the same legislation. It shows how the inclusion of both individual and contextual factors may lead to better predictions and provides precious data for the services improvement.

Variations in Performance of Mental Health Providers in the English NHS: An Analysis of the Relationship Between Readmission Rates and Length-of-Stay

Length-of-stay (LOS) for inpatient mental health care is a major driver of variation in resource use internationally. We explore determinants of LOS in England, focusing on the impact of emergency readmission rates which can serve as a measure of the quality of care. Data for 2009/2010 and 2010/2011 are analysed using hierarchical and non-hierarchical models. Unexplained residual variation among providers is quantified using Empirical Bayes techniques. Diagnostic, treatment and patient-level demographic variables are key drivers of LOS. Higher emergency readmission rates are associated with shorter LOS. Ranking providers by residual variation reveals significant differences, suggesting some providers can improve performance.

Gender differences in 353 inpatients with acute psychosis: The experience of one Psychiatric Emergency Service of Turin

The aim of the study is to evaluate gender-related socio-demographic and clinical differences in a large sample of inpatients with schizophrenia spectrum disorder. A sample of 353 acute patients, consecutively hospitalized between January 2007 and December 2008 in the Psychiatric Emergency Service of the San Giovanni Battista Hospital, was recruited. Psychiatric assessment included the Clinical Global Impression Scale-Severity (CGI-S), the Brief Psychiatric Rating Scale (BPRS) and the Global Assessment of Functioning (GAF). Differences between the groups were tested using chi-square test and ANOVA. Data were analyzed using a three-way MANOVA with the six BPRS scales with repeated measures for admission/discharge and BPRS total score baseline and independent groups for men and women. A two-way ANOVA for repeated measures was performed for CGI-S and GAF. Men were younger, more likely to be never married, more often substance abusers. Male patients showed both lower anxious-depressive and anergia symptom scores and higher activation symptom scores than female patients. Brief hospitalization was shown to be highly effective in both groups. Females showed a significantly better improvement in anergia and activation than males. The present evidence suggests that management of acute psychosis should target specific gender differences which should influence therapeutic approach in all its modalities.

Association between length of hospital stay and implementation of discharge planning in acute psychiatric inpatients in Japan

Background

Japan has introduced an acute psychiatric care unit to the public healthcare insurance program, but its requirement of a shorter length of stay could lead to discharges without proper discharge planning. The aim of this study was to examine the association between the implementation of discharge planning and the length of stay of acute psychiatric inpatients in Japan.

Methods

This retrospective cross-sectional study included 449 patients discharged from the ‘psychiatric emergency ward’ of 66 hospitals during a two-week period from March 7 to 20, 2011. The assigned nurse or nursing assistant for each patient provided information on the implementation of discharge planning in the hospital stay.

Results

Approximately one quarter of the 449 patients (n = 122) received no support for coordination with post-discharge community care resources. The 122 patients who had received no support for community care coordination had a significantly lower mean age at admission, a shorter length of stay, and a higher rate of either no follow-up or unidentified post-discharge outpatient service than the other 327 patients. Multilevel linear regression analysis demonstrated a significantly greater length of stay among patients who were older, those who had a primary diagnosis of schizophrenia, those who were admitted compulsorily, those who received hospital outpatient services, and those who received community care coordination support from the assigned nurse or nursing assistant. The implementation of support for community care coordination did not indicate a significant association with these factors, which have been related to an increased risk of psychiatric readmission.

Conclusion

Patients to whom the assigned nurse or nursing assistant provided support on community care coordination experienced a significantly greater length of hospital stay. The implementation of support for community care coordination did not indicate a significant association with these factors, which have been related to an increased risk of psychiatric readmission. The mental health policy should increase focus on discharge planning in the acute psychiatric setting to enhance a link between psychiatric inpatient care and post-discharge community care resources.

Correlates of readmission risk and readmission days in a large psychiatric hospital in Guangzhou, China

INTRODUCTION

For many patients with psychiatric disorders, the course of illness is characterized by frequent relapses, resulting to re-hospitalization and high costs. While the correlates of readmission have been extensively studied in developed countries, few studies have examined readmission in low- and middle-income countries where bed supply is limited.

METHODS

Using administrative data from the Guangzhou Psychiatric Hospital (GPH), we used Cox regression models to evaluate the relationship among age, gender, index length of stay (LOS), and the number of previous admissions to post-discharge readmission risk. Linear regression is used to evaluate predictors of total hospital days during the year after the index discharge.

RESULTS

Between April 1, 2010 and March 31, 2011, 2,525 patients were discharged with International Classification of Diseases, 10th Revision psychiatric diagnoses from GPH, with an average LOS of 64.2 (SD = 69.0), and 317 (12.4%) were readmitted in the following year. Survival analysis showed older age (P < 0.05), and the number of previous hospitalizations (P < 0.01) were significant predictors of the risk of readmission but not diagnosis or LOS. The number of previous admissions was the only predictor of total bed days of psychiatric care at GPH in the year following the initial discharge.

DISCUSSION

Shortened LOS was not associated with increased readmission risk or post-discharge hospital days. Rather, the number of past hospitalizations was the major predictor of both readmission risk and post-discharge hospital days of psychiatric care, and such patients deserve special attention. Lowering LOS may be justified, allowing funds to be redeployed to outpatient or community-based care.

Retrospective assessment of factors associated with readmission in a large psychiatric hospital in Guangzhou, China

Background

Most psychiatric inpatients in China are involuntarily admitted by their families, resulting in relatively long admissions and relatively low readmission rates. However, this pattern may change after implementation of China’s new national mental health law (promulgated in 2013), which restricts involuntary psychiatric admissions to the small proportion of mentally ill individuals who are a danger to self or others.

Aim

Assess the factors associated with readmission rates of psychiatric inpatients in Guangzhou, China.

Methods

A retrospective analysis of data from the Guangzhou Psychiatric Hospital, one of the largest psychiatric hospitals in China, used Cox regression models to evaluate the relationship between age, gender, diagnosis, marital status, employment status, relationship with the primary caregiver, type of medical insurance, length of stay of the index admission, and the number of previous admissions to estimate the risk of readmission over the year following discharge. Multivariate regression is used to assess factors associated with the total time of readmission during the year of follow-up.

Results

Among 3455 patients admitted from 1 January 2011 to 31 December 2012 who had a mean (sd) length of stay of 65.7 (66.3) days, 476 (13.8%) were readmitted one or more times within one year of discharge. After considering all potential predictors of readmission in a multivariate survival analysis, the number of previous hospitalizations prior to the index admission was the only statistically significant predictor of readmission. The only factor that was significantly related to the total time of readmission was the duration of the index admission.

Conclusion

Shorter length of stay was not associated with increased readmission rates in patients admitted to a large public psychiatric hospital in southern China. This suggests that the expected decrease in the length of psychiatric inpatient admissions that is likely to occur when, based on China’s new regulations, most patients are admitted voluntarily may not lead to increased rates of readmission. Prospective studies with a more comprehensive set of outcome measures (including patient functioning, medication adherence, and family burden) are needed to monitor the effect of the law on patients and on the distribution of mental health services.

Mental health care financing in Italy: current situation and perspectives

Through a review of the studies conducted on the analysis of the costs of the Italian mental health provision of care, this study aimed at describing the current financing system for mental health care in Italy. From the deinstitutionalization to the present days, Italian mental health care financing has evolved in line with both national plans and the actual European directives. The description of the current situation of mental health care financing in Italy can be useful to inform service planning and resource allocation, and to offer a wider European perspective.

Prediction of community mental health service utilization by individual and ecological level socio-economic factors

Individuals with a more deprived socioeconomic status (SES) are more likely to have higher rates of psychiatric morbidity and use of psychiatric services. Such service use is also influenced by socioeconomic factors at the ecological level. The aim of this article is to investigate the influence of these variables on service utilization. All patients in contact with three Italian community psychiatric services (CPS) were included. Community and hospital contacts over 6 months were investigated. Socio-economic characteristics were described using a SES Index and two new Resources Accessibility Indexes. Low SES was found to be associated with more community service contacts. When other individual and ecological variables were controlled for, SES was negatively associated only with the number of home visits, which was about half the rate in deprived areas. An association between service utilization and the resources of the catchment area was also detected. The economic crisis in Europe is increasing inequality of access, so paying attention to SES characteristics at both the individual and the ecological levels is likely to become increasingly important in understanding patterns of psychiatric service utilization and planning care accordingly.

Clinical outcome and length of stay in an Italian Psychiatric Emergency Service

PURPOSE

The aims of the present study were to analyze outcome and to evaluate diagnosis-specific pattern of improvement during a brief hospitalization in a Psychiatric Emergency Service (PES) in a catchment area in Turin, Italy.

METHODS

A sample of 848 acute patients, consecutively hospitalized between January 2007 and December 2008 in the PES of the San Giovanni Battista Hospital, with diagnoses of non-affective psychosis-affective psychosis, depressive disorder and mania-and personality disorder (DSM-IV-TR) was recruited. All patients were assessed with the Brief Psychiatric Rating Scale (BPRS). One-way analysis of variance was used to measure patients' individual reliable and clinically significant change speed between BPRS assessments, in which change speed was referred to the division of the gap between admission and discharge scores over the number of days of length of stay (LOS).

RESULTS

The overall sample showed a significant improvement of BPRS total score and each domain during a brief hospitalization (mean LOS 10.5 days), with a different pattern between the diagnostic groups. A significant difference in change speed of BPRS resulted in the whole sample and in each diagnostic groups; patients with mania showed a significantly faster improvement.

CONCLUSIONS

A brief hospitalization in our service was shown to be highly effective. A different and diagnosis-specific patients' individual reliable and clinically significant change speed was observed, with a significantly faster improvement in patients with mania.

State of psychiatry in Italy 35 years after psychiatric reform. A critical appraisal of national and local data

Thirty-four years have elapsed since the passing of the Italian Law 180, the reform law that marked the transition from a hospital-based system of care to a model of community psychiatry that was designed to be an alternative to, rather than to complement, the old hospital-centred services. The main principle of Law 180 is that psychiatric patients have the right to be treated the same way as patients with other diseases and only voluntary treatments are allowed, with a few exceptions that are strictly regulated. The main features and consequences of the Italian reform are initially reviewed; national and local level experiences and epidemiological data are then analysed in order to highlight and disentangle the 'active ingredients' of the Italian experience. A public health attitude with the capacity to network good practice in service organization by giving voice to successful experiences and promoting health service research, apart from some local services, is still generally lacking. Furthermore, it is still difficult to provide an evidence-based reply to the question: can à l'Italienne community-care be exported elsewhere?

Does psychopathology at admission predict the length of inpatient stay in psychiatry? Implications for financing psychiatric services

BACKGROUND

The debate on appropriate financing systems in inpatient psychiatry is ongoing. In this context, it is important to control resource use in terms of length of stay (LOS), which is the most costly factor in inpatient care and the one that can be influenced most easily. Previous studies have shown that psychiatric diagnoses provide only limited justification for explaining variation in LOS, and it has been suggested that measures such as psychopathology might be more appropriate to predict resource use. Therefore, we investigated the relationship between LOS and psychopathological syndromes or symptoms at admission as well as other characteristics such as sociodemographic and clinical variables.

METHODS

We considered routine medical data of patients admitted to the Psychiatric University Hospital Zurich in the years 2008 and 2009. Complete data on psychopathology at hospital admission were available in 3,220 inpatient episodes. A subsample of 2,939 inpatient episodes was considered in final statistical models, including psychopathology as well as complete datasets of further measures (e.g. sociodemographic, clinical, treatment-related and psychosocial variables). We used multivariate linear as well as logistic regression analysis with forward selection procedure to determine the predictors of LOS.

RESULTS

All but two syndrome scores (mania, hostility) were positively related to the length of stay. Final statistical models showed that syndromes or symptoms explained about 5% of the variation in length of stay. The inclusion of syndromes or symptoms as well as basic treatment variables and other factors led to an explained variation of up to 25%.

CONCLUSIONS

Psychopathological syndromes and symptoms at admission and further characteristics only explained a small proportion of the length of inpatient stay. Thus, according to our sample, psychopathology might not be suitable as a primary indicator for estimating LOS and contingent costs. This might be considered in the development of future costing systems in psychiatry.