Factors Associated with Length of Stay in a Swiss Mental Hospital

Length of hospital stay in involuntary admissions in Greece: a 10-year retrospective observational study

PURPOSE

The treatment of mental disorders has shifted from inpatient wards to community-based settings in recent years, but some patients may still have to be admitted to inpatient wards, sometimes involuntarily. It is important to maintain the length of hospital stay (LoS) as short as possible while still providing adequate care. The present study aimed to explore the factors associated with the LoS in involuntarily admitted psychiatric patients.

METHODS

A ten-year retrospective chart review of 332 patients admitted involuntarily to the inpatient psychiatric ward of the General University Hospital of Ioannina, Northwestern Greece, between 2008 and 2017 was conducted.

RESULTS

The mean LoS was 23.8 (SD = 33.7) days and was relatively stable over the years. Longer-stay hospitalization was associated with schizophrenia-spectrum disorder diagnosis, previous hospitalizations and the use of mechanical restraint, whereas patients in residential care experienced significantly longer LoS (52.6 days) than those living with a caregiver (23.5 days) or alone (19.4 days). Older age at disease onset was associated with shorter LoS, whereas no statistically significant differences were observed with regard to gender.

CONCLUSION

While some of our findings were in line with recent findings from other countries, others could not be replicated. It seems that multiple factors influence LoS and the identification of these factors could help clinicians and policy makers to design more targeted and cost-effective interventions. The optimization of LoS in involuntary admissions could improve patients' outcomes and lead to more efficient use of resources.

Hospital Length of Stay and Associated Factors in Adult Patients with Depression in Germany: A Cross-Sectional Study

Objective: The aim of the present study was to evaluate the hospital length of stay (LoS) and its associated factors among adult patients hospitalized with depression in Germany. Methods: This cross-sectional study included all adults (≥18 years) hospitalized with depression from January 2019 to December 2023 treated in 36 hospitals across Germany. The primary outcome was patients' hospital LoS in days. The associations between age, sex, depression severity, co-diagnoses, hospital, and hospital LoS were analyzed using hierarchical multivariable linear regression models. Results: A total of 6579 patients (mean age 46.6 ± 17.7 years) with 8965 hospitalizations for depression were available. The mean hospital LoS was 35.2 days. Severe depression (+4.9 days) was associated with a longer hospital LoS, with moderate depression as the reference. Older age was positively associated with a longer hospital LoS. Vitamin D deficiency (+9 days), lipid metabolism disorders (+8 days), obesity (+8 days), sleep disorders (+7 days), and reaction to severe stress and adjustment disorders (+5 days) were also significantly associated with hospital LoS. Conclusions: In patients with depression, higher depression severity, advanced age, vitamin D deficiency, lipid metabolism disorders, obesity, sleep disorders, reactions to severe stress, and adjustment disorders were associated with a longer hospital LoS. Addressing these factors through comprehensive and integrated care strategies could help optimize hospitalization duration and improve overall patient outcomes.

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.

Investigating Length of Stay Patterns and Its Predictors in the South Wales Trauma Network

Background

Length of stay (LOS) is frequently employed as a performance metric for trauma care. Following the establishment of the trauma network worldwide, the assessment and prediction of LOS in different levels of trauma centres have been extensively studied. However, assessing the total patient length of stay from a whole trauma network perspective is unclear. The objective of this study was to systematically analyse the overall Length of Stay (LOS) pattern within the SWTN before its establishment and in the immediate time after its foundation and, secondly, to assess the association between relevant impact factors and LOS.

Methodology

A retrospective secondary analysis based on the trauma admission dataset from Trauma Audit and Research Network(TARN) dataset was conducted. The studied sample covered around 18000 patients admitted to trauma centres from South Wales Major trauma network between January 2012 and October 2021. The primary outcome is the total length of stay in the trauma network. Statistical tests were applied to examine the difference between normal and outlier LOS. Data visualisation was utilised to demonstrate the LOS patterns and potential association between LOS and relevant demographic and clinical predictors.

Results

The distribution of length of stay in SWTN follows a right-skewed distribution with a median of 10 (IQR, 5-18) and a mean of 15.92 days. There were 1520 patients with outliers for LOS. A significant difference (p¡ 0.05) was found between the normal and outlier groups of LOS based on demographic (age, gender and residential information) and clinical characteristics(ward type, maximum of anatomically-based injury severity score(AIS) and probability of survival). Age group, maximum AIS score on specific injured region, ward type and its interaction effect with the number of admissions may associated with the LOS. Specifically, patients admitted to the geriatric ward exhibited notably prolonged LOS, and individuals with more than 2 admissions to long-term care and recovery-related wards such as neurosurgical rehabilitation, spinal injuries and burns wards also displayed elevated LOS.

Conclusion

Our finding supports prior evidence indicating elderly people are vulnerable to longer stays. Moreover, concerning the types of admission wards, patients admitted to rehabilitation wards who underwent more than 2 hospitalisations also faced an increased risk of prolonged stay. Based on these results, policymakers and healthcare providers should contemplate expanding the allocation of medical resources to this demographic to mitigate the length of stay and optimise associated healthcare costs.

Demographic, clinical and biochemical correlates of the length of stay for different polarities in Chinese inpatients with bipolar disorder: A real-world study

Introduction: Many patients with bipolar disorder (BD) need hospitalization, while the number of hospital beds for these patients is limited. Managing the length of stay (LOS) is an effective solution to this issue. Research on LOS and its influencing factors in BD is limited in China. This study aimed to identify the factors relevant to LOS in different polarities in Chinese patients with BD. Method: This was a real-world, cross-sectional study. Data were obtained from the electronic medical record system. Patients admitted to Beijing Anding Hospital between Jan 2014 and Dec 2017 and diagnosed with BD were included. Demographic information, clinical characteristics, and biochemical variables were collected. Patients were classified into short and long LOS groups based on a cutoff value. A univariate study and a multivariate logistic regression analysis were performed to identify variables related to LOS in various BD polarities. The receiver operating characteristic (ROC) analysis was utilized to evaluate the discrimination accuracy of the regression model. Result: Four thousand six hundred and seventy-five visits from 4,451 individuals were included in the analysis. For the whole sample, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). There was an additive interaction between a family history of mental disorders and polarities (p < 0.05). For manic episodes, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). For depressive episodes, psychotic features and high-density lipoprotein cholesterol (HDLC) levels were positively associated with long LOS (all p < 0.05). For mixed states, unmarried status was positively associated with long LOS, while low-density lipoprotein cholesterol (LDLC) levels were negatively associated with LOS (all p < 0.05). The area under the curve (AUC) values for depressive episodes, manic episodes, and mixed states in the combined model were 0.587, 0.553, and 0.619, respectively (all p < 0.05). Discussion: The findings suggested that LOS correlates differed by polarity, with marital status, psychotic features, a family history of mental disorders, and lipid levels strongly linked with LOS in patients with BD.

Factors related to the length of stay for major depressive disorder patients in China: A real-world retrospective study

Background

As numerous patients with depression have to be hospitalized because of various reasons, the demand far exceeds the limited bed count in the psychiatry department. Controlling the length of stay (LOS) of the patient is gradually being considered an effective method to alleviate this problem. Given the lack of statistical evidence of the LOS of patients with major depressive disorder (MDD) in China and the strain on the limited psychiatric resources, the purpose of our study was to investigate the LOS of patients with MDD among in-patient samples and to analyze related factors of the LOS in China by building a regression model.

Method

The data were exported from the electronic medical record system. A total of three categories of independent variables were enrolled in our study, namely, demographic, clinical, and biochemical. Univariate analysis and binominal regression analysis were applied comprehensively to find the factors related to the LOS among MDD samples. The discrimination accuracy of the model was evaluated by the receiver operating characteristic (ROC) analysis. ROC analysis indicated that the discrimination accuracy of our model was acceptable (AUC = 0.790, 95% CI = 0.714–0.865, P < 0.001).

Result

A total of 254 patients were finally brought into analysis after filtering. Regression analysis indicated that abnormal LDL was the only risk factor of long LOS (OR = 3.352, 95% CI = 1.087–10.337, P = 0.035) among all the kinds of variables. Notably, in the statistically irrelevant factors of the LOS, the category of anti-depressant drugs [serotonin–norepinephrine reuptake inhibitor (SNRI) or selective serotonin reuptake inhibitor (SSRI)] prescribed to patients with MDD was not associated statistically with the LOS, which was against our initial hypothesis that the LOS of patients with MDD treated with SNRI would vary from that of the patients treated with SSRI.

Conclusion

Up to our knowledge, our research is the first study to show the potential factors related to the LOS from various domains, especially biochemical indexes, and the effect of drugs, among clinical patients with MDD in China. Our results could provide a theoretical reference for efficient psychiatry hospitalization management and prioritization of allocating medical resources. Future studies are required for updating independent variables which are potentially related to the LOS and verifying existing results in a larger sample.

Impact of Compulsory Admission on Treatment and Outcome: A Propensity Score Matched Analysis

Background

Despite multiple ethical issues and little evidence of their efficacy, compulsory admission and treatment are still common psychiatric practice. Therefore, we aimed to assess potential differences in treatment and outcome between voluntarily and compulsorily admitted patients.

Methods

We extracted clinical data from inpatients treated in an academic hospital in Zurich, Switzerland between January 1, 2013 and December 31, 2019. Observation time started upon the first admission and ended after a one-year follow-up after the last discharge. Several sociodemographic and clinical characteristics, including Health of the Nation Outcome Scales (HoNOS) scores, were retrospectively obtained. We then identified risk factors of compulsory admission using logistic regression in order to perform a widely balanced propensity score matching. Altogether, we compared 4,570 compulsorily and 4,570 voluntarily admitted propensity score-matched patients. Multiple differences between these groups concerning received treatment, coercive measures, clinical parameters, and service use outcomes were detected.

Results

Upon discharge, compulsorily admitted patients reached a similar HoNOS sum score in a significantly shorter duration of treatment. They were more often admitted for crisis interventions, were prescribed less pharmacologic treatment, and received fewer therapies. During the follow-up, voluntarily admitted patients were readmitted more often, while the time to readmission did not differ.

Conclusions

Under narrowly set circumstances, compulsory admissions might be helpful to avert and relieve exacerbations of severe psychiatric disorders.

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.

Violent Behavior Prior to Admission Is Not a Factor in Further Prolonged Length of Stay: A Retrospective Cohort Study in a Japanese Psychiatric Hospital

Background: This study assessed the hypothesis that violent behavior prior to admission prolongs psychiatric hospitalization and evaluated the likelihood of hospital discharge to a community care setting based on demographic and clinical factors, with an emphasis on violent behavior. Methods: We retrospectively selected 362 patients who were involuntarily admitted to a psychiatric hospital in Japan from December 1, 2015 to November 30, 2017, stayed longer than planned, and underwent review by a multidisciplinary team. We assessed (a) education and marital status and history of substance abuse, (b) the presence/absence and type of violent behavior that led to hospital admission, and (c) the discharge criteria. We divided the subjects into groups according to whether they had demonstrated violent behavior prior to admission and compared demographic and clinical variables between the groups using bivariate analysis. We also analyzed data using the Cox proportional hazard model, defining discharge to the community as the outcome. Age, sex, and variables that were significant at a level of P < 0.05 based on Cox univariate analysis were included in the multivariate models using the forced entry method. Results: The Violent group included 94 patients (26%). There were no significant between-group differences in age, sex, educational background, marital history, career history, or the history of substance abuse. However, hospitalization was significantly longer in the Non-violent group. The Cox proportional multivariate hazard ratios revealed that violent behavior prior to admission resulted in a higher probability of hospital discharge. Conclusion: Violent behavior prior to admission did not significantly contribute to prolonged hospitalization in patients who deviated from the treatment plan and had exceeded the planned hospitalization duration. Our findings recommend caution when using violence and impulsiveness observed during the acute stage to predict the difficulty of long-term treatment.

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.

Characterizing DSM-5 and ICD-11 personality disorder features in psychiatric inpatients at scale using electronic health records

BACKGROUND

Investigation of personality traits and pathology in large, generalizable clinical cohorts has been hindered by inconsistent assessment and failure to consider a range of personality disorders (PDs) simultaneously.

METHODS

We applied natural language processing (NLP) of electronic health record notes to characterize a psychiatric inpatient cohort. A set of terms reflecting personality trait domains were derived, expanded, and then refined based on expert consensus. Latent Dirichlet allocation was used to score notes to estimate the extent to which any given note reflected PD topics. Regression models were used to examine the relationship of these estimates with sociodemographic features and length of stay.

RESULTS

Among 3623 patients with 4702 admissions, being male, non-white, having a low burden of medical comorbidity, being admitted through the emergency department, and having public insurance were independently associated with greater levels of disinhibition, detachment, and psychoticism. Being female, white, and having private insurance were independently associated with greater levels of negative affectivity. The presence of disinhibition, psychoticism, and negative affectivity were each significantly associated with a longer stay, while detachment was associated with a shorter stay.

CONCLUSIONS

Personality features can be systematically and scalably measured using NLP in the inpatient setting, and some of these features associate with length of stay. Developing treatment strategies for patients scoring high in certain personality dimensions may facilitate more efficient, targeted interventions, and may help reduce the impact of personality features on mental health service utilization.

Patient and service-level factors affecting length of inpatient stay in an acute mental health service: a retrospective case cohort study

BACKGROUND

The NHS Mental Health Implementation Plan aims to reduce length of inpatient psychiatric stays to a maximum of 32 days, yet provides little guidance on how to achieve this. Previous studies have attempted to analyse factors influencing length of stay in mental health units, focussing mostly on patient factors. These models fail to sufficiently explain the variation in duration of inpatient stay. We assess how the type of service delivered by a trust, in addition to patient factors, influences length of stay.

METHODS

We conducted a retrospective case cohort study in a large inner-city NHS mental health trust for all admissions in a 1 month period. Data was gathered from electronic notes of 105 patients. Descriptive univariate and bivariate analyses were conducted on the data, with multiple regression analysis conducted on statistically significant data.

RESULTS

Short-stay assessment ward admission significantly reduced length of stay. Patients under outpatients or under care co-ordination, admitted through Mental Health Act assessment and formally detained all had longer length of stay. Out of area admissions, locum Consultant care, changing Responsible Clinician and ward transfers all led to longer length of stay. Factors indicating more severe illness such as increased observation level and polypharmacy, as well as diagnoses of psychosis or bipolar disorder were associated with longer duration of stay. Discharges requiring referral to accommodation or rehabilitation led to longer stays. The most significant factors that influenced length of stay were higher observation levels, diagnosis of psychotic illness or bipolar, and discharge to rehabilitation placement. The final model, taking into account all these factors, was able to account for 59.6% of the variability in length of stay.

CONCLUSIONS

The study backs up existing literature which shows patient-factors have an influence on length of stay. The study also demonstrates that service-level factors have an impact on the duration of stay. This data may be used to inform further studies which may aid provision of inpatient and community services in the future.

[The Intensive Psychiatric Care Unit at a Hospital with Maximum Care - An Analysis of Treatment Variables in the Therapy of Psychiatric and comorbid Somatic Disorders]

ZIEL DER STUDIE UND METHODIK

Alle 873 Behandlungsakten einer psychiatrischen Intensivstation aus einem Zeitraum von 5 Jahren gingen in eine Analyse des Patientenkollektivs, des Behandlungsoutcomes und von Prädiktoren für die stationäre Behandlungsdauer ein.

ERGEBNISSE UND SCHLUSSFOLGERUNG

Auf der beschriebenen Station wurden sowohl Patienten mit psychiatrischen Notfallsyndromen als auch Patienten mit komorbiden psychischen und somatischen Erkrankungen behandelt. Somatische Zusatzerkrankungen beeinflussen den stationären Behandlungsverlauf psychisch Erkrankter erheblich, z. B. durch eine um durchschnittlich 2,4 Wochen kürzere intensivpsychiatrische stationäre Behandlungsdauer bei häufiger Notwendigkeit (41,3%) einer stationären, z. B. rehabilitativen Anschlussbehandlung. Die Stationsauslastung von 110 % und die durchschnittliche Behandlungsdauer von 63 Tagen deuten auf einen hohen Bedarf an interdisziplinären psychiatrisch-somatischen Behandlungsmöglichkeiten hin. In Zukunft ist ein Zusammenwachsen von Psychiatrie und somatischer Medizin anzustreben. Untersuchungen zu Versorgungssituation und Wirtschaftlichkeit interdisziplinärer Behandlungsangebote stehen aus.

BACKGROUND AND METHOD

All 873 medical files of psychiatric inpatients treated over a 5 year period at a psychiatric intensive care unit were analyzed in regard to characteristics of the patient group, outcome and predictors for the length of stay.

RESULTS AND CONCLUSIONS

Patients with psychiatric emergency syndromes and patients with comorbid psychiatric and somatic disorders were treated on the described unit. Somatic comorbidities have a considerable effect on the course of treatment for patients with psychiatric disorders. They have to receive stationary treatment for a shorter period (2.4 weeks) but often need further stationary, e. g. rehabilitative treatment. The utilization of this specific unit (110%) and the above average length of stay (63 days) point to an increasing need in inpatient treatment capacities for patients with psychiatric and somatic comorbidities. In future a growing together of somatic medicine and psychiatry in Germany is worthwhile. The evaluation of the treatment situation and aspects of cost effectiveness are yet to come.

Sociodemographic and Clinical Predictors of the Length of Psychiatric Inpatient Stay of Immigrants in Switzerland

Immigrants with mental disorders have consistently been reported to spend shorter time in the psychiatric hospital compared to native patients. The aim of this study was to identify sociodemographic, clinical and migration-related predictors of a shorter length of psychiatric inpatient stay among immigrants in Switzerland. All patients of a foreign nationality admitted for inpatient treatment in the year 2016 (N = 279) were included in this study. The sample characteristics were drawn from the register of the psychiatric hospital. Within this sample, self-harm and substance use predicted a shorter inpatient treatment episode whereas disturbances of general psychosocial functioning were a predictor of a longer length of stay. As similar results were also reported for non-immigrant patients, the impact of these specific behavioral and social problems on the length of inpatient stay does not appear to be migrant-specific. Moreover, a country of origin outside Europe was a strong predictor of shorter length of stay pointing to inequalities of inpatient psychiatric treatment within the group of immigrants. Therefore, the cultural background and migrant history of immigrants in psychiatry need stronger consideration in order to eliminate disadvantages in mental health care.

Factors Associated with Long-Stays in an Italian Psychiatric Intensive Treatment Facility: 1-Year Retrospective Observational Analysis

Psychiatric Intensive Treatment Facilities (PITF) are health inpatient settings for patients affected by sub-acute psychiatric disorders with impaired personal and social functioning. The aim of this study is to analyse the demographic and clinical variables related to long-stays in an Italian PITF in order to highlight the risk factors for stay lengthening. We retrospectively collected the selected variables from all patients and their stays in a PITF from 1 to 11-2016 to 31-10-2017. We divided the stays according to the median of duration, ≤29 and > 29 days, to compare selected variables in the two groups of stay length. Patients hospitalized for >29 days more frequently presented "Self-neglect", nursing diagnosis NANDA-I, and needed economic social service support. Multiple linear regression revealed that the presence of some variables as "many medical consultations", "economic social service support", "clinical interviews extended to institutional figures" were statistically significantly associated with an increased stay duration, suggesting that both clinical severity and difficult economic conditions were associated with the lengthening of stay. The knowledge of these factors can contribute to improve psychiatric treatments, reducing potential risk conditions for patient institutional dependence.

Community Mental Health Center Integrated Care Outcomes

Despite the compelling logic for integrating care for people with serious mental illness, there is also need for quantitative evidence of results. This retrospective analysis used 2013-2015 data from seven community mental health centers to measure clinical processes and health outcomes for patients receiving integrated primary care (n = 18,505), as well as hospital use for the 3943 patients with hospitalizations during the study period. Bivariate and regression analyses tested associations between integrated care and preventive screening rates, hemoglobin A1c levels, and hospital use. Screening rates for body-mass index, blood pressure, smoking, and hemoglobin A1c all increased very substantially during integrated care. More than half of patients with baseline hypertension had this controlled within 90 days of beginning integrated care. Among patients hospitalized at any point during the study period, the probability of hospitalization in the first year of integrated care decreased by 18 percentage points, after controlling for other factors such as patient severity, insurance status, and demographics (p < .001). The average length of stay was also 32% shorter compared to the year prior to integrated care (p < .001). Savings due to reduced hospitalization frequency alone exceeded $1000 per patient. Data limitations restricted this study to a pre-/post-study design. However, the magnitude and consistency of findings across different outcomes suggest that for people with serious mental illness, integrated care can make a significant difference in rates of preventive care, health, and cost-related outcomes.