Outcome and length of stay in psychiatric hospitalization, the experience of the University Clinic of Turin

Determinants of clinical outcome and length of stay in acute care forensic psychiatry units

Criminological and sociodemographic variables, such as previous criminal convictions, increased risk of violence, early onset of mental disorder, antisocial personality, psychosis and low social support, have all been related to longer length of stay (LoS) and poorer outcome in long stay forensic services. The factors impacting on LoS and clinical response in acute care specialized units are poorly documented. To address this issue, we examined the psychiatric records of all cases admitted between January 1st and December 31th 2020 in the sole acute ward for detained persons located in the central prison of the Geneva County, Switzerland. Information on judicial status included pre-trial versus sentence execution, previous incarcerations, and age of the first incarceration. Sociodemographic data included age, gender, marital status, and education attainment. Previous inpatient stays prior to incarceration were recorded. All of the ICD-10 clinical diagnoses were made by two independent, board-certified psychiatrists blind to the scope of the study. The standardized assessment was based on the HoNOS (Health of Nation Outcome Scales) at admission and discharge, HONOS-secure at admission, HCR-20 (Historical Clinical Risk 20) version 2, PCL-R (Psychopathy Checklist Revised), and SAPROF (Structured Assessment of Protective Factors). Stepwise forward multiple linear regression models predicting the LoS and delta HONOS respectively were built with the above mentioned parameters. The selected variables were then used in univariate and multivariable regression models. Higher HCR-scores (mainly on clinical items), and longer LoS were related to higher delta HONOS scores. In contrast, cases in pre-trial detention showed a worst clinical outcome. In multivariable models, all three variables remained independent predictors of the clinical outcome and explained 30.7% of its variance. Only education and diagnosis of borderline personality were related to the LoS and explained 12.6% of its variance in multivariable models. Our results suggest that the use of acute wards specialized in forensic psychiatry are mainly useful for patients with prior inpatient care experience, and higher violence risk during sentence execution. In contrast, they seem to be less performant for persons in pre-trial detention that could benefit from less restrictive clinical settings.

Depressive Disorder Related Hospitalizations in Portugal Between 2008-2015: a Nationwide Observational Study

Depression is a prevalent disease, being one of the most relevant contributors of disability in the overall global burden of diseases. Hospitalization episodes are important quality indicators in psychiatric care. The primary aim of this study is to analyse depressive disorder related hospitalizations in Portuguese public hospitals and to detail clinical and sociodemographic differences among various subtypes of depression. Admissions with a primary diagnosis of depression in adult patients(> = 18 years) were selected from a national mainland hospitalization database. ICD-9-CM codes were used to select the diagnoses of interest: 296.2 × to 296.3x (Major depressive disorder), 300.4 (Dysthymic disorder) and 311 (Depressive disorder, not elsewhere classified). Birth date, sex, residence address, primary and secondary diagnoses, admission date, discharge date, length of stay (LoS), discharge status, and hospital estimated charges were obtained. A total of 28,569 hospitalizations (22,387 patients) with a primary diagnosis of depression were analysed. In the 8-year period of the study, 19.1% of all hospitalizations with a primary diagnosis of psychiatric disorder were linked to Depression. Major Depressive episodes were the most common (n = 15,384; 53.8%), followed by Depression unspecified episodes (n = 6,793; 23.8%), and Dysthymia (n = 6,392; 22.4%). Most episodes occurred in female patients (70.2%; n = 20,052), with a mean age of 50.6 years, and 37.0% (n = 10,564) of the episodes were associated to other psychiatric comorbidities. Depressive disorders are one of the leading causes of hospitalization in Portuguese psychiatric departments, being responsible for approximately 1 in 5 hospitalizations with a psychiatric diagnosis.

Bipolar Disorder Related Hospitalizations - a Descriptive Nationwide Study Using a Big Data Approach

Bipolar Disorder (BD) is a mental disorder which frequently requires long hospitalizations and need for acute psychiatric care. The aim of this study was to describe a nationwide perspective of BD related hospitalizations and to use a BigData based approach in mental health research. We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008-2015. Hospitalizations with a primary diagnosis of BD were selected based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 296.xx (excluding 296.2x; 296.3x and 296.9x). From 20,807 hospitalizations belonging to 13,300 patients, around 33.4% occurred in male patients with a median length of stay of 16.0 days and a mean age of 47.9 years. The most common hospitalization diagnosis in BD has the code 296.4x (manic episode) representing 34.3% of all hospitalizations, followed by the code 296.5x (depressed episode) with 21.4%. The mean estimated hospitalization charge was 3,508.5€ per episode, with a total charge of 73M€ in the 8-year period of this study.This is a nationwide study giving a broad perspective of the BD hospitalization panorama at a national level. We found important differences in hospitalization characteristics by sex, age and primary diagnosis.

Time in treatment: Examining mental illness trajectories across inpatient psychiatric treatment

Early discharge or reduced length of stay for inpatient psychiatric patients is related to increased readmission rates and worse clinical outcomes including increased risk for suicide. Trajectories of mental illness outcomes have been identified as an important method for predicting the optimal length of stay but the distinguishing factors that separate trajectories remain unclear. We sought to identify the distinct classes of patients who demonstrated similar trajectories of mental illness over the course of inpatient treatment, and we explore the patient characteristics associated with these mental illness trajectories. We used data (N = 3406) from an inpatient psychiatric hospital with intermediate lengths of stay. Using growth mixture modeling, latent mental illness scores were derived from six mental illness indicators: psychological flexibility, emotion regulation problems, anxiety, depression, suicidal ideation, and disability. The patients were grouped into three distinct trajectory classes: (1) High-Risk, Rapid Improvement (HR-RI); (2) Low-Risk, Gradual Improvement (LR-GI); and (3) High-Risk, Gradual Improvement (HR-GI). The HR-GI was significantly younger than the other two classes. The HR-GI had significantly more female patients than males, while the LR-GI had more male patients than females. Our findings indicated that younger females had more severe mental illness at admission and only gradual improvement during the inpatient treatment period, and they remained in treatment for longer lengths of stay, than older males.

Length of stay in relation to the risk of inpatient and post-discharge suicides: A national health insurance claim data study

BACKGROUND

This study aimed to compare the predictors of suicides among psychiatric inpatients and recently discharged patients and to examine the association between the length of stay and suicides.

METHODS

Data from psychiatric inpatients were extracted from the National Health Insurance databank and merged with information from the Cause of Death data using unique identification numbers. Poisson regression analyses were used to estimate the incidence rate ratio for inpatient and post-discharge suicides, which included the variables of sex, age, psychiatric diagnosis, and number of admissions in the preceding year. The associations between length of stay and inpatient and post-discharge suicide were examined using multivariate Poisson regression analyses that were adjusted for these variables.

RESULTS

A diagnosis of affective disorders and a higher number of previous admissions increased both inpatient and post-discharge suicides. Patients older than 15-24 years had a significantly lower inpatient suicide risk but were more likely to die by suicide post-discharge. The risk of suicide both during the inpatient stay and post-discharge statistically significantly decreased when the length of stay was longer.

LIMITATIONS

As there were variations in societal, environmental, and facility-level factors that might have influenced the association between length of stay and suicide, the generalization of our findings to different settings may be impeded.

CONCLUSIONS

This study provides additional evidence that hospitalization helps to reduce the suicide risk. It suggests that medical professionals should be alert to inpatient suicide and that they should determine the optimal length of stay considering post-discharge suicide.

Predictors of hospitalization length of stay among re-admitted treatment-resistant Bipolar Disorder inpatients

BACKGROUND

Hospitalization accounts for significant health care resource utilization for treatment-resistant Bipolar Disorder (BD), especially among frequent users of acute inpatient psychiatric units. Appraisal of the clinical features and predictive role of selected variables is therefore crucial in such population, representing the aim of the present research.

METHODS

A hundred and nineteen BD inpatients with an established history of pharmacological treatment resistance for either mania or bipolar depression were classified as long hospitalization cases (LOS⁺) and their controls and compared against each other for a number of demographic, clinical, and psychopathological features.

RESULTS

Overall, female sex, current second-generation atypical antipsychotic (SGA)/mood stabilizer other than lithium as well as antidepressant treatment at the admission occurred statistically more frequently among LOS⁺ cases, concordant with higher scores at the Hamilton scales for depression and anxiety. Lithium utilization at the time of hospitalization did not differ between cases and controls (LOS^-, n = 81/119), as predominant affective temperament and other psychopathological rating did not. Overall, the time of admission, use of SGA, anticonvulsant (other than lithium), antidepressant, lifetime alcohol dependence, and BD Type (-I or -II), but not current mood polarity at the time of hospitalization, correctly predicted LOS⁺ grouping 68.2% of the times: Exp(B) = 3.151, p042.

LIMITATIONS

Post-hoc, cross-sectional study, relatively small sample size, recall and selection bias on some diagnoses.

CONCLUSIONS

Overall, LOS⁺ treatment-resistant BD inpatients characterize for higher severity and greater pharmaco-utilization use, which warrants replication studies to include additional predictors to shed further light on the matter.

Effect of accreditation on length of stay in psychiatric inpatients: pre-post accreditation medical record comparison

Background

An interest in hospital accreditation is growing rapidly among many countries to enhance the quality of health care services. The literature showed a positive association between accreditation and some processes of health care. One of the main factors that influence bed availability is the length of hospital stay (LOS), which is considered as an important indicator of the quality of inpatient psychiatric hospitalization. We aimed to investigate whether hospital accreditation drives improvements for the length of stay in psychiatric inpatients.

Methods

The study reviewed medical records of consecutive hospital admissions for pre- and post-accreditation comparisons of LOS in two acute mental health wards at a teaching general hospital in Riyadh, Saudi Arabia. Data obtained from the 12-month-post-accreditation period (July 2011 to June 2012) were compared with those from the 12-month-pre-accreditation period (July 2009 to June 2010). The adoption of accreditation program occurred over a 12-month period in the middle of the study (July 2010 to June 2011). Compiled information included demographics, diagnosis, assessment, and LOS. All identified charts were reviewed; there were no exclusion criteria. Patients were not contacted.

Results

Post-accreditation, the mean (SD) length of stay was 35.3 ± 18.5 days and the range was 3–113 days. Whereas in the pre-accreditation period the mean (SD) length of stay was 41.1 ± 29.5 days and the range was 1–167 days. The difference was statistically significant (P = 0.026).

Conclusion

Accreditation reduces excess LOS and contributes to improving the quality of psychiatric inpatient care and access to psychiatric beds.

Typologies of psychiatric admissions and length of inpatient stay in Italy

OBJECTIVE

To describe admissions to an inpatient psychiatric unit in Italy over a two-year period and explore the influence of demographics, clinical variables and organisational and context-related factors on length of stay.

METHODS

Data were obtained from clinical records and recorded by a psychiatrist through a proper checklist.

RESULTS

Shorter admissions involved patients with personality disorders and substance use disorders. Greater illness severity and difficulties in setting a post-discharge programme were associated with longer admissions.

CONCLUSIONS

Clinical, organisational and context-related factors all had significant effects on length of stay.

Impact of social-psychiatric services and psychiatric clinics on involuntary admissions

BACKGROUND

Germany provides a wide range of highly developed mental health care to its citizens. The aim of this study was to identify factors influencing the voluntariness of admissions to psychiatric hospitals. Especially the impact of demographic factors of the region, characteristics of the psychiatric hospitals and characteristics of the psychosocial services was analyzed.

METHOD

A retrospective analysis of hospital admission registers from 13 German adult psychiatric hospitals in 2009 was conducted. Public data on the regional psychiatric accommodation and demographic situation were added. Hospitals were dichotomously divided according to their index of involuntary admissions. Group comparisons were performed between the clinics with low and high involuntary admission indices. Analysis was conducted with clinical, psychiatric provision and demographic data related to inpatients in the Landschaftsverbands Westfalen-Lippe (LWL)-PsychiatryNetwork.

RESULTS

Especially the range of services provided by the social-psychiatric services in the region such as number of supervised patients and home visits had an influence on the proportion of involuntary admissions to a psychiatric hospital. Some demographic characteristics of the region such as discretionary income showed further influence. Contrary to our expectations, the characteristics of the individual hospital seem to have no influence on the admission rate.

CONCLUSION

Social-psychiatric services show a preventive impact on involuntary acute psychiatry interventions. Sociodemographic factors and patient variables play a role with regard to the number of involuntary hospitalizations, whereas characteristics of hospitals seemed to play no role.

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.

Factors associated with length of psychiatric hospitalization

OBJECTIVE

Criteria for psychiatric hospitalization have undergone marked changes. Efforts to limit length-of-hospitalization risk greater morbidity at discharge and increased needs for appropriate aftercare. Accordingly, we evaluated factors associated with length of psychiatric hospitalization and aftercare-types.

METHODS

We reviewed medical records of 589 patients with major psychiatric disorders hospitalized in a university-affiliated, not-for-profit psychiatric hospital to identify characteristics associated with length of hospitalization, types of aftercare and insurance coverage, using standard bivariate and multivariate analytical methods.

RESULTS

Notable factors associated with longer hospitalization included: more highly supervised aftercare, diagnosis of schizophrenia or schizoaffective>affective disorders, longer illnesses, higher antipsychotic doses and more complex drug-treatments at discharge, lower GAF functional status, unemployment, being unmarried, as well as public vs. private insurance. Multivariate modeling sustained association of longer hospitalization with higher antipsychotic doses, more structured aftercare, public insurance, lower GAF scores, and diagnoses of chronic psychotic disorders. Structured aftercare was associated with younger age, fewer years ill, and private insurance, but varied little by diagnosis and was unrelated to ethnicity. Public insurance was associated notably with being unemployed, unmarried, less functional, having a chronic psychotic disorder for more years, and lack of structured aftercare.

CONCLUSIONS

Illness severity and functional impairment may modulate efforts to limit psychiatric hospitalization. Higher-level aftercare was associated with illness and disability factors as well as with private insurance; public insurance was associated with dysfunction, unemployment and chronic illness, as well as longer hospitalization.

Length of psychiatric hospitalization is correlated with CYP2D6 functional status in inpatients with major depressive disorder

AIM

This study aimed to determine the effect of the CYP2D6 genotype on the length of hospitalization stay for patients treated for major depressive disorder.

METHODS

A total of 149 inpatients with a diagnosis of major depressive disorder at the Institute of Living, Hartford Hospital (CT, USA), were genotyped to detect altered alleles in the CYP2D6 gene. Prospectively defined drug metabolism indices (metabolic reserve, metabolic alteration and allele alteration) were determined quantitatively and assessed for their relationship to length of hospitalization stay.

RESULTS

Hospital stay was significantly longer in deficient CYP2D6 metabolizers (metabolic reserve <2) compared with functional or suprafunctional metabolizers (metabolic reserve ≥2; 7.8 vs 5.7 days, respectively; p = 0.002).

CONCLUSION

CYP2D6 enzymatic functional status significantly affected length of hospital stay, perhaps due to reduced efficacy or increased side effects of the medications metabolized by the CYP2D6 isoenzyme. Functional scoring of CYP2D6 alleles may have a substantial impact on the quality of care, patient satisfaction and the economics of psychiatric treatment.

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.

Modeling trajectory of depressive symptoms among psychiatric inpatients: a latent growth curve approach

OBJECTIVE

Changes in the parameters of inpatient psychiatric care have inspired a sizable literature exploring correlates of prolonged intervention as well as symptom change over varying lengths of hospitalization. However, existing data offer limited insight regarding the nature of symptom change over time. Objectives of this longitudinal research were to (1) model the trajectory of depressive symptoms within an inpatient psychiatric sample, (2) identify characteristics associated with unique patterns of change, and (3) evaluate the magnitude of expected gains using objective clinical benchmarks.

METHOD

Participants included 1,084 psychiatric inpatients treated between April 2008 and December 2010. Latent growth curve modeling was used to determine the trajectory of Beck Depression Inventory II depressive symptoms in response to treatment. Age, gender, trauma history, prior hospitalization, and DSM-IV diagnoses were examined as potential moderators of recovery.

RESULTS

Results indicate a nonlinear model of recovery, with symptom reductions greatest following admission and slowing gradually over time. Female gender, probable trauma exposure, prior psychiatric hospitalization, and primary depressive diagnosis were associated with more severe trajectories. Diagnosis of alcohol/substance use, by contrast, was associated with more moderate trajectories. Objective benchmarks occurred relatively consistently across patient groups, with clinically significant change occurring between 2-4 weeks after admission.

CONCLUSIONS

The nonlinear trajectory of recovery observed in these data provides insight regarding the dynamics of inpatient recovery. Across all patient groups, symptom reduction was most dramatic in the initial week of hospitalization. However, notable improvement continued for several weeks after admission. Results suggest that timelines for adequate inpatient care are largely contingent on program-specific goals.

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?

Number of prior episodes and the presence of depressive symptoms are associated with longer length of stay for patients with acute manic episodes

BACKGROUND

Few studies have analyzed predictors of length of stay (LOS) in patients admitted due to acute bipolar manic episodes. The purpose of the present study was to estimate LOS and to determine the potential sociodemographic and clinical risk factors associated with a longer hospitalization. Such information could be useful to identify those patients at high risk for long LOS and to allocate them to special treatments, with the aim of optimizing their hospital management.

METHODS

This was a cross-sectional study recruiting adult patients with a diagnosis of bipolar disorder (Diagnostic and Statistical Manual of Mental Disorders, 4th edition, text revision (DSM-IV-TR) criteria) who had been hospitalized due to an acute manic episode with a Young Mania Rating Scale total score greater than 20. Bivariate correlational and multiple linear regression analyses were performed to identify independent predictors of LOS.

RESULTS

A total of 235 patients from 44 centers were included in the study. The only factors that were significantly associated to LOS in the regression model were the number of previous episodes and the Montgomery-Åsberg Depression Rating Scale (MADRS) total score at admission (P < 0.05).

CONCLUSIONS

Patients with a high number of previous episodes and those with depressive symptoms during mania are more likely to stay longer in hospital. Patients with severe depressive symptoms may have a more severe or treatment-resistant course of the acute bipolar manic episode.

A model to incorporate genetic testing (5-HTTLPR) in pharmacological treatment of major depressive disorders

OBJECTIVE

To evaluate the benefit of pharmacogenetics in antidepressant treatment.

METHODS

In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER).

RESULTS

Under base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness.

CONCLUSION

Notwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment.

Do patients improve after short psychiatric admission?: a cohort study in Italy

BACKGROUND

Information on outcomes of acute inpatient care in routine psychiatric practice is scant. In particular, it is uncertain to what extent short hospitalization can produce clinically meaningful changes.

AIM

Our aim was to estimate the symptomatic outcome in a representative sample of patients admitted for short treatment to general hospital psychiatric units in Italy.

METHODS

Patients were assessed at admission and discharge using 24-item Brief Psychiatric Rating Scale (BPRS). Reliable change index was calculated to estimate the proportion of change attributable to measurement error and a cut-off score of 38 was adopted to identify the patients who showed clinically significant change.

RESULTS

Average length of stay was 5.7 days. Mean BPRS score dropped from 53.2 on admission to 41.5 at discharge, showing statistically significant improvement with an effect size of 0.80. However, reliable change was achieved by 24.7% of patients and clinically meaningful change by 13.6%.

CONCLUSIONS

Reliance on statistical significance and effect size overestimates treatment effects, whereas reliable and clinically significant change index provides a conservative way to assess outcome. Few patients showed relevant improvement after a brief admission.

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

PURPOSE

This study aimed to identify services-related and area-based measures together with socio-demographic factors that could improve diagnosis-related groups in explaining length of stay variability in general hospital psychiatric units in Veneto Region (North East of Italy).

METHODS

Data were collected from the regional hospital discharge records database. A hierarchical multiple regression model with only diagnosis-related groups as predictors of actual and ln-transformed length of stay was compared with a second model in which patient-, service- and area-level variables were included. Local health district was used as group-level in the hierarchical multiple regression analysis.

RESULTS

The only diagnosis explains 6.4% of actual length of stay total variance (14.8% for ln-transformation). In the second model length of stay resulted related also to gender, age, severity of hospitalization, patient's local health district, number of psychiatrists, psychologists, hospital attendants/nurses, social workers and educators in the general hospital psychiatric units, number of outpatients in each local health district and percentages of divorced and single people, with almost a 2% point increase on actual length of stay in explained variance (5% point increase for ln-transformation).

CONCLUSIONS

For the first time the hospital discharge card regional survey of all public acute inpatient psychiatric facilities in Veneto Region were used. The innovative aspect of this study was the attempt to investigate the relationship between length of stay and other indexes, characterizing not only the inpatient facilities, but also the resident population structure in each area. The information about factors that influence length of stay can be useful to inform service planning and resource allocation.

Bed accessibility in a private psychiatric hospital

OBJECTIVE

Access to beds is a major problem in many psychiatric services and increased waiting times can lead to adverse health outcomes. While there has been a considerable amount of research evaluating bed management systems in public psychiatric services, the private sector has received little attention. This project aimed to determine the time to admission for patients referred to an acute private psychiatric hospital, and to identify factors contributing to time intervals between referral and admission.

METHOD

All staff involved in the admission process engaged in an ongoing, interactive data collection process. Accurate data on waiting times for acute patients was obtained and fed back to credentialed admitting psychiatrists.

RESULTS

Determinants of admission were clarified. For urgent admissions, the longest time interval was between the patient being advised that a bed was available and actually presenting themselves at the hospital.

CONCLUSION

The project was effective in clarifying admission flow in a private psychiatric hospital. Some strategies that might reduce time intervals between referral and admission are described.