Psychiatric readmissions and their association with environmental and health system characteristics: a systematic review of the literature

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.

Functioning, psychiatric symptoms and quality of life of individuals with severe mental disorders after psychiatric rehabilitation

PURPOSE

Psychiatric disorders may have a negative effect on individuals' living, forming intimate relationships, education, and employment. The aim of psychiatric rehabilitation is to promote recovery - finding ways to cope with mental disorders despite debilitating symptoms. This study aimed to explore the outcomes of accommodation, social inclusion, psychiatric symptoms, substance and service use, quality of life and subjective recovery of young adults with severe mental illness after psychiatric rehabilitation.

MATERIALS AND METHODS

The study population consisted of individuals who had been in residential psychiatric rehabilitation between the ages of 18-29 years. Data on outcomes were collected using a questionnaire after a flexible follow-up period (mean 29 months). The questionnaire was answered by 32 eligible persons. We analysed multiple outcomes and compared the proportion of persons living independently at the start, after psychiatric rehabilitation, and at the follow-up point.

RESULTS

At the start of the rehabilitation, 33%, at the end, 69%, and at follow-up, 78% lived independently. However, most had not reached competitive employment nor were studying. Cognitive symptoms were the most common psychiatric symptoms, followed by depressive symptoms. More than 80% of the sample felt that they had partly recovered from their severe mental illness.

CONCLUSION

According to the results of this study residential psychiatric rehabilitation may have positive effects on functioning and independent living at follow-up. Reaching competitive employment is difficult for persons with severe mental disorders and effective rehabilitation interventions need to be implemented. However, this study had limitations, and these results should be considered preliminary.

Ensuring Continuity of Care: Effective Strategies for the Post-hospitalization Transition of Psychiatric Patients in a Family Medicine Outpatient Clinic

In healthcare, continuity of care is a crucial element, especially for patients in the field of psychiatry who have recently been discharged from a hospital. The shift from inpatient to outpatient care poses challenges for patients and healthcare providers, including openness to treatment, competing priorities, financial insecurity, concerns and dilemmas faced by patients regarding their post-hospitalization life after improvements in symptoms, lack of social support, poor patient-doctor relationships, lack of insight, and stigma associated with mental illness. Therefore, it is vital to employ effective strategies to ensure patients receive the required care and support during this transition. This review delves into the significance of continuity of care for psychiatric patients post-hospitalization, effective strategies for the transition, and the challenges and barriers to implementation from the perspective of a family medicine practice. To analyze physicians' role in managing psychiatric patients post-hospitalization, we developed a comprehensive search strategy. This involved extracting relevant data, updates, guidelines, and recommendations. Our search spanned various online repositories, such as PubMed and Google Scholar, specifically focusing on US-based guidelines aligned with our objectives. The search was conducted using medical subject headings (MeSH) and combinations of "OR," "AND," and "WITH." We crafted keywords to optimize our search strategy, including psychiatric illness, post-hospitalization, follow-up, follow-up care, primary care follow-up, and guidelines. Exploring online repositories yielded 132 articles, and we identified some guidelines that addressed our objectives. We established inclusion and exclusion criteria for our review and reviewed 21 papers. Post-hospitalization follow-up is a critical facet of psychiatric care, aligning with guidelines from the American Psychiatric Association and other relevant sources. Emphasizing continuity of care ensures a smooth transition from inpatient to outpatient settings, sustaining therapeutic momentum and minimizing the risk of relapse. This comprehensive approach involves careful medication management, regular mental health assessments, education on condition-specific coping strategies, and coordinated care between healthcare providers. It includes conducting risk assessments, safety planning, building social support and community integration, prompt post-hospitalization follow-up, and tailored treatment plans. Together, these measures enhance overall wellness for recently discharged patients. This holistic strategy tackles pressing short-term needs while facilitating long-term stability, promoting resilience and successful community reintegration, reducing readmission likelihood, and ultimately supporting sustained recovery.

YouBelong Home: A Ugandan Community Mental Health Intervention

In Uganda, low resources for mental health provision combine with disadvantage and inadequate supports for family and community-based care. Catalysed by the need to reduce overcrowded psychiatric hospital wards and frequent readmissions at Butabika National Referral Mental Hospital (BNRMH) in Kampala, the nongovernment organisation YouBelong Uganda (YBU) developed the YouBelong Home (YBH) intervention. YBH is a theoretically eclectic pre and post hospital discharge intervention. This paper reports on qualitative findings of the project Curtailing Hospital Readmissions for Patients with Severe Mental Illness in Africa (CHaRISMA), which explored how to refine the YBH intervention. The project was funded by a UK Joint Global Health Trials (JGHT) Development Grant. Data was collected through structured interviews with service users and caregivers, reflective practice by the YBH implementing team and a stakeholder focus group. A summary of refinements to the YBH intervention follows the TIDieR format (Template for Intervention Description and Replication).

Compulsory and voluntary admissions in comparison: A 9-year long observational study

BACKGROUND

Few studies, so far, have been specifically designed to highlight the features related to Compulsory Admissions (CA) and Voluntary Admissions (VA) in Italian psychiatric emergency wards.

AIMS

The main purpose of this observational study was to compare the sociodemographic and clinical characteristics of VA and CA and to explore possible predictors of re-admissions.

METHODS

During a 6-month Index Period (February, the 1st-July, the 31st 2008) all psychiatric admissions were documented and then followed-up through all available informatic systems for the next 9 years.

RESULTS

Out of 390 hospitalizations, 101 (25.9%) were compulsory (CA rate was 2.79 per 10,000 inhabitants per year, mean duration of hospitalizations of 7.33 ± 7.84 days). Diagnoses were recorded for the 325 patients who had been hospitalized during index period: schizophrenic psychoses ([p = .042], in particular schizophrenia [p = .027]), manic episode (p = .044), and delusional disorders (p = .009) were associated with CA; conversely, the diagnosis of unipolar major depression (p = .005) and personality disorders (p = .048) were significantly more frequent in VA. The 325 admitted patients were followed up for 1,801 person-years. No significant differences were found in terms of drop-outs, transferring, and discharge rates, and mortality rates due to both natural causes and suicides. Factors associated with at least one compulsory readmission were younger age and having had a previous CA (p = .011); conversely having been engaged with psychiatric services for over 1 year prior to index hospitalization was protective for a subsequent CA (p = .013).

CONCLUSIONS

After a 40-year old political reform, the current study shows that, in a context of integrated outpatient and inpatient services, engagement with outpatient care may be protective for compulsory rehospitalization.

Sociodemographic, clinical and pharmacological factors influencing early readmission in mental health settings

Early readmissions (between 24 hours and 30 days after discharge) can be disruptive for psychiatric patients and their families.

Patient-, Hospital-, and System-Level Factors Associated With 30-Day Readmission After a Psychiatric Hospitalization

Readmission after inpatient care for a psychiatric condition is associated with a range of adverse events including suicide and all-cause mortality. This study estimated 30-day readmission rates in a large cohort of inpatient psychiatric admissions in New York State and examined how these rates varied by patient, hospital, and service system characteristics. Data were obtained from Medicaid claims records, and clinician, hospital, and region data, for individuals with a diagnosis of any mental disorder admitted to psychiatric inpatient units in New York State from 2012 to 2013. Psychiatric readmission was defined as any unplanned inpatient stay with a mental health diagnosis with an admission date within 30 days of being discharged. Unadjusted and adjusted odds ratios of being readmitted within 30 days were estimated using logistic regression analyses. Over 15% of individuals discharged from inpatient units between 2012 and 2013 were readmitted within 30 days. Patients who were readmitted were more likely to be homeless, have a schizoaffective disorder or schizophrenia, and have medical comorbidity. Readmission rates varied in this cohort mainly because of individual-level characteristics. Homeless patients were at the highest risk of being readmitted after discharge.

Characterization of multilevel influences of mental health care transitions: a comparative case study analysis

Purpose

Mental health care transitions are increasingly prioritized given their potential to optimize care delivery and patient outcomes, especially those focused on the transition from inpatient to outpatient mental health care. However, limited efforts to date characterize such mental health transition practices, especially those spanning multiple service setting contexts. Examination of key influences of inpatient to outpatient mental health care transitions across care contexts is needed to inform ongoing and future efforts to improve mental health care transitions. The current work aims to characterize multilevel influences of mental health care transitions across three United States-based mental health system contexts.

Methods

A comparative multiple case study design was used to characterize transition practices within the literature examining children’s, non-VA adult, and VA adult service contexts. Andersen’s (1995) Behavioral Health Service Use Model was applied to identify and characterize relevant distinct and common domains of focus in care transitions across systems.

Results

Several key influences to mental health care transitions were identified spanning the environmental, individual, and health behavior domains, including: community capacity or availability, cross-system or agency collaboration, provider training and experience related to mental health care transitions, client care experience and expectations, and client clinical characteristics or complexity.

Conclusions

Synthesis illustrated several common factors across system contexts as well as unique factors for further consideration. Our findings inform key considerations and recommendations for ongoing and future efforts aiming to plan, expand, and better support mental health care transitions. These include timely information sharing, enhanced care coordination and cross setting and provider communication, continued provider/client education, and appropriate tailoring of services to improve mental health care transitions.

Mental Health and Addiction Related Emergency Department Visits: A Systematic Review of Qualitative Studies

Mental health and addiction (MHA) related Emergency Department (ED) visits have increased significantly in recent years. Studies identified that a small subgroup of patients constitutes a disproportionally large number of visits. However, there is limited qualitative research exploring the phenomenon from the perspectives of patients who visited ED frequently for MHA reasons, and healthcare providers who provide care to the patients since the overwhelming majority of studies were quantitative based on clinical records. Without input from patients and healthcare providers, policymakers have inadequate information for designing and implementing programs. The purpose of this study was to systematically review the literature of qualitative research on frequent MHA related ED visits. The findings of the review revealed that a lack of community resources and existing community resources not meeting the needs of patients were critical contributing factors for frequent MHA related ED visits.

Clinical Outcomes in Routine Evaluation Measures for Patients Discharged from Acute Psychiatric Care: Four-Arm Peer and Text Messaging Support Controlled Observational Study

Background: Peer support workers (PSW) and text messaging services (TxM) are supportive health services that are frequently examined in the field of mental health. Both interventions have positive outcomes, with TxM demonstrating clinical and economic effectiveness and PSW showing its utility within the recovery-oriented model. Objective: To evaluate the effectiveness of PSW and TxM in reducing psychological distress of recently discharged patients receiving psychiatric care. Methods: This is a prospective, rater-blinded, pilot-controlled observational study consisting of 181 patients discharged from acute psychiatric care. Patients were randomized into one of four conditions: daily supportive text messages only, peer support only, peer support plus daily text messages, or treatment as usual. Clinical Outcomes in Routine Evaluation—Outcome Measure (CORE-OM), a standardized measure of mental distress, was administered at four time points: baseline, six weeks, three months, and six months. MANCOVA was used to assess the impact of the interventions on participants’ scores on four CORE-OM subscales across the three follow-up time points. Recovery, clinical change, and reliable change in CORE-OM all-item analysis were examined across the four groups, and the prevalence of risk symptoms was measured. Results: A total of 63 patients completed assessments at each time point. The interaction between PSW and TxM was predictive of differences in scores on the CORE-OM functioning subscale with a medium effect size (F1,63 = 4.19; p = 0.045; ηp2 = 0.07). The PSW + TxM group consistently achieved higher rates of recovery and clinical and reliable improvement compared to the other study groups. Additionally, the text message group and the PSW + TxM group significantly reduced the prevalence of risk of self/other harm symptoms after six months of intervention, with 27.59% (χ2(1) = 4.42, p = 0.04) and 50% (χ2(1) = 9.03, p < 0.01) prevalence reduction, respectively. Conclusions: The combination of peer support and supportive text messaging is an impactful intervention with positive clinical outcomes for acute care patients. Adding the two interventions into routine psychiatric care for patients after discharge is highly recommended.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Predicting 30-Day Readmissions: Evidence From a Small Rural Psychiatric Hospital

To improve quality of care and patient outcomes, and to reduce costs, hospitals in the United States are trying to mitigate readmissions that are potentially avoidable. By identifying high-risk patients, hospitals may be able to proactively adapt treatment and discharge planning to reduce the likelihood of readmission. Our objective in this study was to derive and validate a predictive model of 30-day readmissions for a small rural psychiatric hospital in the northeast. However, this model can be adapted by other rural psychiatric hospitals-a context that has been understudied in the literature. Our sample consisted of 1912 adult inpatients (1281 in the derivation cohort and 631 in the validation cohort), who were admitted between August 1, 2014, and July 31, 2016. We used deidentified data from the hospital's electronic medical record, including physician orders and discharge summaries. These data were merged with community-level variables that reflected the availability of care in the patients' zip codes. We first considered the correlates of 30-day readmission in a regression framework. We found that the probability of readmission increased with the number of previous admissions (vs. no readmissions). Moreover, the probability of readmission was much higher for patients with a depressive disorder (vs. no depressive disorder), with another mood disorder (vs. no other mood disorder), and/or with a psychotic disorder (vs. no psychotic disorder). We used these associations to derive a predictive model, in which we used the regression coefficients to construct a score for each patient. We then estimated the predicted probability of 30-day readmission on the basis of that score. After validating the model, we discuss the implications for clinical practice and the limitations of our approach.

Searching for factors associated with the "Revolving Door phenomenon" in the psychiatric inpatient unit: A 5-year retrospective cohort study

The revolving door (RD) phenomenon refers to subjects who undergo frequent rehospitalizations in psychiatric units. The main aim of this study was to analyze clinical factors associated with RD in acute inpatient psychiatric ward. In a 5-year cohort study, subjects hospitalized three or more times in 12 months (revolving door subjects-RDS) were identified. A total of 1,324 subjects were hospitalized. RDS represented 6.3% (n = 84) of the entire sample with a total of 337 RD hospitalizations (revolving door hospitalizations-RDH) (16.7% of all admissions). RDS were younger, unmarried, with comorbid substance related disorders, with mood or psychotic disorders and affected by comorbid medical conditions. After controlling for age, sex and marital status, the most strongly associated variable with RDH was the comorbidity between mood and substance use disorders. Other associated factors were the presence of a comorbid medical condition and a longer length of stay. The commitment to community residential facilities and the treatment with a first generation long-acting antipsychotic were also associated with RDH. On the contrary, admissions to the psychiatric unit for manic/hypomanic episode or for self-directed harmful behavior were inversely associated with RDH. Attention should be given to these clinical variables in order to reduce RD.

[Individual and contextual factors associated with violent behaviours during psychiatric hospitalizations]

BACKGROUND

The prevention of Physical Violent Behavior (VB) toward others during psychiatric hospitalization is a major concern of clinicians. These VBs can have a deleterious impact on the victims, inpatients or caregivers, as well as on the therapeutic milieu. Such violence can also have negative consequences for the assailant patients, such as repeatedly being hospitalized under restraint, stigmatization, and difficulties reintegrating into the community.

OBJECTIVES

This study explored individual (age, gender, marital status, living status, diagnostic) and institutional (type of admission, length of stay, number of previous hospitalizations) risk factors, and how their interactions could increase the risk of VB during psychiatric hospitalizations.

METHOD

The study was carried out over a period of four years in the psychiatry department of the Lausanne University Hospital, on the 15 wards (219 beds) specialized in acute psychiatric care for adults. All the patients admitted to one of these wards during this period (n=4518), aged between 18 and 65 years, were included in the study. The sample was divided in two groups: non-violent patients (NVPs) and violent patients (VPs). VBs, defined as physical aggressions against another person, were assessed by the Staff Observation Aggression Scale - Revised (SOAS - R). Only physical assaults, associated or not with other types of violence, involving hospitalized patients were analyzed. Personal and institutional factors were extracted from the hospital database. Chi² independence tests were used to assess differences between groups. Logistic regression models were used to identify the links between each factor and the VB. Classification and regression trees were used to study the hierarchical effect of factors, and combinations of factors, on VBs.

RESULTS

During the study period, 414 VBs were reported involving 199 patients (4.40 % of all patients). VPs were significantly younger, male, more likely to be unmarried and living in sheltered housing before hospitalization. In this group, the proportion of patients with diagnoses of schizophrenia, and/or schizophrenia with comorbid substance abuse and cognitive impairment, were higher compared to NVPs. VPs were more frequently admitted involuntarily, had a longer average length of stay and a greater number of previous hospitalizations. The logistic regression model performed on individual factors have shown a significant link between age (OR=0.99; CI: 0.97-1.00; P-value=0.024), living in sheltered housing before admission (OR=2.46; CI: 1.61-3.75; P-value<0.000), schizophrenic disorders (OR=2.18; CI: 1.35-3.57; P-value=0.001), schizophrenic disorders with substance abuse comorbidity (OR=2.00; CI: 1.16-3.37; P-value=0.016), cognitive impairment (OR=3.41; CI: 1,21-8.25; P-value=0.010), and VBs. The logistic regression model on institutional factors have shown a significant link between involuntary hospitalization (OR=4.38; CI: 3.20-6.08; P-value<0.000), length of previous stay (OR=1.01; CI: 1.00-1.01; P-value<0.000), number of previous hospitalizations (OR=1.06; CI: 1.00-1.12; P-value=0.031), and VBs. The logistic regression model on individual and institutional factors have shown a significant link between age (OR=0.99; CI: 0.97-1.00; P-value=0.008), living in sheltered housing before admission (OR=2.46: CI: 1.61-3.75; P-value=0.034), cognitive impairment (OR=3.41; CI: 1.21-8.25; P-value=0.074), involuntary hospitalization (OR=3.46; CI: 2.48-4.87; P-value<0.000), length of previous stay (OR=1.01; CI: 1.00-1.01; P-value<0.000), and VBs. The classification and regression trees have shown that the relationship between long length of stay and repeated hospitalizations mainly potentiate the risk of violence.

CONCLUSION

The results of this study have shown the existence of a small group of vulnerable patients who accumulate constrained hospital stays during which violence occurs. Exploring the clinical profiles and institutional pathways of patients could help to better identify these patients and promote a more appropriate mode of support, such as intensive clinical case management. This model could facilitate the development of a clinical network and the links between the structures and partners caring for a patient. This would create a continuous support, avoiding or limiting the lack of continuity of care and care disruption.

Family care for persons with severe mental illness: experiences and perspectives of caregivers in Uganda

BACKGROUND

In low-income settings with limited social protection supports, by necessity, families are a key resource for care and support. Paradoxically, the quality of family care for people living with Severe Mental Illness (PLSMI) has been linked to support for recovery, hospital overstay and preventable hospital readmissions. This study explored the care experiences of family members of PLSMI with patients at the national mental hospital in Kampala, Uganda, a low income country. This study was undertaken to inform the development of YouBelongHome (YBH), a community mental health intervention implemented by YouBelong Uganda (YBU), a registered NGO in Uganda.

METHODS

Qualitative data was analysed from 10 focus groups with carers of ready to discharge patients on convalescent wards in Butabika National Referral Mental Hospital (BNRMH), Kampala. This is a subset of data from a mixed methods baseline study for YouBelong Uganda, undertaken in 2017 to explore hospital readmissions and community supports for PLSMI from the Wakiso and Kampala districts, Uganda.

RESULTS

Three interrelated themes emerge in the qualitative analysis: a range of direct, practical care provided by the caregiver of the PLSMI, emotional family dynamics, and the social and cultural context of care. The family care giving role is multidimensional, challenging, and changing. It includes protection of the PLSMI from harm and abuse, in the context of stigma and discrimination, and challenging behaviours that may result from poor access to and use of evidence-based medicines. There is reliance on traditional healers and faith healers reflecting alternative belief systems and health seeking behaviour rather than medicalised care. Transport to attend health facilities impedes access to help outside the family care system. Underpinning these experiences is the impact of low economic resources.

CONCLUSIONS

Family support can be a key resource and an active agent in mental health recovery for PLSMI in Uganda. Implementing practical family-oriented mental health interventions necessitates a culturally aware practice. This should be based in understandings of dynamic family relationships, cultural understanding of severe mental illness that places it in a spiritual context, different family forms, caregiving practices and challenges as well as community attitudes. In the Ugandan context, limited (mental) health system infrastructure and access to medications and service access impediments, such as economic and transport barriers, accentuate these complexities.

Psychiatric readmission rates in a multi-level mental health care system - a descriptive population cohort study

BACKGROUND

Readmission rates are frequently used as a quality indicator for health care, yet their validity for evaluating quality is unclear. Published research on variables affecting readmission to psychiatric hospitals have been inconsistent. The Norwegian specialist mental health care system is characterized by a multi-level structure; hospitals providing specialized -largely unplanned care and district psychiatric centers (DPCs) providing generalized -more often planned care. In certain service systems, readmission may be an integral part of individual patients' treatment plan. The aim of the present study was to describe and examine the task division in a multi-level health care system. This we did through describing differences in patient population (age, sex, diagnosis, substance abuse comorbidity and length of stay) and admissions types (unplanned vs. planned) treated at different levels (hospital, DPC or both), and by examining whether readmission risk differ according to type and place of treatment of index-admission and travel-time to nearest hospital and DPC.

METHODS

In this population-based cohort study using administrative data we included all individuals aged 18 and older who were discharged from psychiatric inpatient care with an ICD-10 diagnosis F2-F6 ("functional mental disorders") in 2012. Selecting each individual's first discharge during 2012 as index gave N = 16,185 for analyses following exclusions. Analysis of readmission risk were done using Kaplan-Maier failure curves.

RESULTS

Overall, 15.1 and 47.7% of patients were readmitted within 30 and 365 days, respectively. Unplanned admission patients were more likely to be readmitted within 30 days than planned patients. Those transferred between hospital and DPC during index admission were more likely to be readmitted within 365 days, and to experience planned readmission. Patients with short travel time were more likely to have unplanned readmission, while patients with long travel time were more likely to have planned readmission.

CONCLUSIONS

DPCs and hospitals fill different purposes in the Norwegian health care system, which is reflected in different patient populations. Differences in short term readmission rates between hospitals and DPCs disappeared when type of admission (unplanned/planned) was considered. The results stress the importance of addressing differences in organisation and task distribution when comparing readmission rates between mental health systems.

The Joint Crisis Plan: A Powerful Tool to Promote Mental Health

Purpose: The Joint Crisis Plan (JCP) has received growing interest in clinical and research settings. JCP is a type of psychiatric advance statement that describes how to recognize early signs of crisis and how to manage crises. The purpose of the present study, to our knowledge the first to be conducted on this topic in the French-speaking context and to include inpatients, was to describe the content of JCPs and how they are perceived by patients and the providers. Methods: The study used an exploratory, mixed, sequential method. Existing JCPs were retrospectively collected in several clinical contexts (hospital, community settings, and sheltered accommodation). Based on their analyses, we conducted semi-structured interviews including some rating scales on the perception of the JCPs among patients and providers in these settings. For the qualitative analyses, content analyses were conducted with a hybrid approach using NVivo 12 software. Data were double-coded and discussed with a third researcher until agreement was reached. Results: One hundred eighty-four JCPs were collected retrospectively and 24 semi-structured interviews were conducted with 12 patients and 12 providers. No relatives could be included in the research process. The content of the studied JCPs was relevant and indicated that patients had good knowledge of themselves and their illness. Improvements in the quality of the therapeutic relationship, respect for patients' choices and wishes, and a greater sense of control of their illness were reported. The JCP was perceived as a very useful tool by patients and providers. Concerning JCP limitations, lack of staff training, difficulties with the shared decision-making process, and the poor availability of the JCPs when needed were reported. Conclusion: The study highlights that JCPs may be used with patients suffering from a large variety of psychiatric disorders in different care settings. The JCP is perceived as very useful by both patients and providers. The promising results of this study support the promotion of the wide use of JCPs with patients who have experienced crises. It is important to continue to research JCPs through impact studies that include family members.

Pre-Discharge Predictors of 1-Year Rehospitalization in Adolescents and Young Adults with Severe Mental Disorders: A Retrospective Cohort Study

Background and objectives: Readmissions of youths hospitalized for a severe mental disorder are common events and bear a remarkable human, social, and economic burden. The current study aimed at evaluating predictors of 1-year rehospitalization in a sample of adolescents and young adults with severe mental disorders. Materials and Methods: Data for ≤25-year-old inpatients with a severe mental disorder and consecutively admitted between 1 January 2016 and 30 June 2019 were collected. Subjects were retrospectively assessed over a follow-up period of one year after the index discharge to track readmissions—i.e., the primary outcome variable. Standard descriptive statistics were used. The association between variables and 1-year rehospitalization was estimated using the univariate Cox proportional hazards regression model. We then carried out a multivariable Cox regression model, also estimating the covariate-adjusted survivor function. Hazard ratios (HRs) with related 95% confidence intervals (95% CIs) were provided. Results: The final sample included 125 individuals. The multivariable Cox regression model estimated that co-occurring substance use disorders (HR = 2.14; 95% CI: 1.08 to 4.26; p = 0.029) and being admitted for a suicide attempt (HR = 2.49; 95% CI: 1.13 to 5.49; p = 0.024) were both significant predictors of 1-year rehospitalization. Conclusions: Our study showed that comorbid substance use disorders and being admitted for a suicide attempt were predictors of early readmission in youths with severe mental disorders. Although their generalizability is limited, our findings could contribute to improve the quality of young patients’ mental health care by identifying vulnerable subjects who may benefit from tailored interventions to prevent rehospitalizations.

Longitudinal examination of youth readmission to mental health inpatient units

OBJECTIVE

Significant barriers exist for youth in obtaining mental health services. These barriers are exacerbated by growing demand, attributed partially to children and adolescents who have repeat hospital admissions. The purpose of this study was to identify demographic, socioeconomic and clinical predictors of readmission to inpatient psychiatric services in New Brunswick, Canada.

METHOD

Key demographic, support and clinical predictors of readmission were identified. The New Brunswick Discharge Abstract Database (DAD) was used to compile a cohort of all children and adolescents ages 3-19 years with psychiatric hospital admissions between 1 April 2003 and 31 March 2014 (N = 3825). Primary analyses consisted of Kaplan-Meier survival methods with log-rank tests to assess time-to-readmission variability, and Cox regression to identify significant predictors of readmission.

RESULTS

In total, 27.8% of admitted children and adolescents experienced at least one readmission within the 10-year period, with 57.3% readmitted to hospital within 90 days following discharge. Bivariate results indicated that male, upper-middle socioeconomic status (SES) youths aged 11-15 years from nonrural communities were most likely to be readmitted. Notable predictors of increased readmission likelihood were older age, being male, higher SES, referral to care by medical practitioner, discharge to another health facility, psychosis, and previous psychiatric admission.

CONCLUSION

A significant portion of the variance in readmission was accounted for by youth demographic characteristics (i.e. age, SES, geographic location) and various support structures, including referrals to inpatient care and aftercare support services.

KEY PRACTITIONER MESSAGE

Readmission to inpatient psychiatric care among youth is affected by a number of multifaceted risk factors across individual, environmental and clinical domains. This study used provincial population-scale longitudinal administrative data to demonstrate the influence of various individual and demographic factors on likelihood of readmission, which is notably absent from the majority of studies that make use of smaller, short-term data samples. Ensuring that multiple factors outside of the clinical context are considered when examining readmission among youth may contribute to a more thorough understanding of youth hospitalization patterns.

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.

Factors associated with 30-days and 180-days psychiatric readmissions: A snapshot of a metropolitan area

Psychiatric re-hospitalization rate is a widely used quality indicator within mental health care. This study aims to investigate which variables are implied in determining readmissions over two intervals after the index event, 30 days and 6 months. The study sample included 798 inpatients, it was divided into two groups: not readmitted patients (NRP) and readmitted patients (RP), which has been further split into: Readmitted within 30 days (RP30dd) and Readmitted during the 150-day period (between 31 and 180 days) after the index discharge (RP150). A multivariate logistic regression with backward selection method was performed in order to find variables independently associated with readmission. The overall incidence of readmissions was 16.04%. Discharge to a Psychiatric Nursing Home was found to be a protective factor for all the groups. In adds, for the overall readmission, compulsory index admission and higher education (this lasts as in RP30dd group) were protective factors; whereas higher length of stay (as for readmission within 31-180 days) and a diagnosis of Personality Disorder were risk factors. The patient-specific factors significantly associated with likelihood of rehospitalization in the final model do identify some high-risk groups toward to whom possibly address prevention strategies.

Measures of Care Coordination at Inpatient Psychiatric Facilities and the Medicare 30-Day All-Cause Readmission Rate

OBJECTIVE

Since late 2012, the Medicare Inpatient Psychiatric Facility Quality Reporting (IPFQR) program of the Centers for Medicare and Medicaid Services (CMS) has required inpatient psychiatric facilities to collect and publicly report a suite of quality measures. This study explored the association between facility-level 30-day risk-adjusted all-cause readmission (medical or psychiatric) after psychiatric hospitalization (READM-30-IPF) and care coordination process measures in the IPFQR program.

METHODS

The study used publicly reported IPFQR facility-level performance data of the Hospital Compare Web site for 1,343 inpatient psychiatric facilities, reflecting performance from July 2015 to June 2017. The authors used a cross-sectional design and linear regression models controlling for hospital and community characteristics and using state as fixed effect.

RESULTS

The mean±SD facility-level READM-30-IPF was 20%±3%, with substantial variation by facility type, ownership status, rurality, and percentage of racial-ethnic minority residents in the county. Regression results showed that facilities with performance in the top tercile on the measure of 7-day mental health follow-up after discharge had readmission rates significantly lower than facilities in the bottom tercile (coefficient=-0.58, p<0.01), although the magnitude of this difference was small. READM-30-IPF, however, did not vary by facilities' performance on measures of discharge plan creation and transmission.

CONCLUSIONS

Results suggest that facilities have substantial opportunities to reduce readmissions after psychiatric hospitalization. The association between hospital performance on care coordination process measures and the all-cause readmission measure currently included in the IPFQR program was minimal. The CMS should evaluate whether the IPFQR measures adequately capture compliance with evidence-based processes and desired outcomes.

The Effects of an Enhanced Primary Care Model for Patients with Serious Mental Illness on Emergency Department Utilization

Patients with Serious Mental Illness (SMI) have high rates of emergency department visits and high premature mortality rates, often due to poor primary care. A model of enhanced primary care services integrated in a behavioral health location is being implemented and studied at the UNC WakeBrook Primary Care Center (UNCWPC). This research was conducted as a retrospective cohort study. ED Visit Utilization before and after establishing care at UNCWPC were calculated for a cohort and a subset of patients. There was a decrease in ED utilization after years 3-4 of enrollment for physical health complaints for the overall cohort (n = 101), from 3.23 to 1.83 visits/person/year, and for patients with multiple physical comorbidities (n = 50), from 4.04 to 2.48 visits/person/year. This study indicated that an enhanced model of primary care can help decrease ED utilization for primary care conditions. The decline was not seen until the patients were well-established.

Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data

BACKGROUND

Psychiatric disorders may occur as a single episode or be persistent and relapsing, sometimes leading to suicidal behaviours. The exact causes of psychiatric disorders are hard to determine but easy access to health care services can help to reduce their severity. The aim of this study was to investigate the factors associated with repeated hospitalizations among the patients with psychiatric illness, which may help the policy makers to target the high-risk groups in a more focused manner.

METHODS

A large linked administrative database consisting of 200,537 patients with psychiatric diagnosis in the years of 2008-2012 was used in this analysis. Various counts regression models including zero-inflated and hurdle models were considered for analyzing the hospitalization rate among patients with psychiatric disorders within three months follow-up since their index visit dates. The covariates for this study consisted of socio-demographic and clinical characteristics of the patients.

RESULTS

The results show that the odds of hospitalization are significantly higher among registered Indians, male patients and younger patients. Hospitalization rate depends on the patients' disease types. Having previously visited a general physician served a protective role for psychiatric hospitalization during the study period. Patients who had seen an outpatient psychiatrist were more likely to have a higher number of psychiatric hospitalizations. This may indicate that psychiatrists tend to see patients with more severe illnesses, who require hospital-based care for managing their illness.

CONCLUSIONS

Providing easier access to registered Indian people and youth may reduce the need for hospital-based care. Patients with mental health conditions may benefit from greater and more timely access to primary care.

'If we would change things outside we wouldn't even need to go in…' supporting recovery via community-based actions: A focus group study on psychiatric rehospitalization

BACKGROUND

Psychiatric rehospitalization is a complex phenomenon in need of more person-centred approaches. The current paper aimed to explore how community-based actions and daily life influence mental health and rehospitalization.

DESIGN, SETTING AND PARTICIPANTS

The qualitative study included focus group data from six European countries including 59 participants. Data were thematically analysed following an inductive approach deriving themes and subthemes in relation to facilitators and barriers to mental health.

RESULTS

Barriers consisted of subthemes (financial difficulty, challenging family circumstances and stigma), and facilitators consisted of three subthemes (complementing services, signposting and recovery). The recovery subtheme consisted of a further five categories (family and friends, work and recreation, hope, using mental health experience and meaning).

DISCUSSION

Barriers to mental health largely related to social determinants of mental health, which may also have implications for psychiatric rehospitalization. Facilitators included community-based actions and aspects of daily life with ties to personal recovery. By articulating the value of these facilitators, we highlight benefits of a person-centred and recovery-focused approach also within the context of psychiatric rehospitalization.

CONCLUSIONS

This paper portrays how person-centred approaches and day-to-day community actions may impact psychiatric rehospitalization via barriers and facilitators, acknowledging the social determinants of mental health and personal recovery.

PATIENT OR PUBLIC CONTRIBUTION

The current study included participants with experience of psychiatric rehospitalization from six different European countries. Furthermore, transcripts were read by several of the focus group participants, and a service user representative participated in the entire research process in the original study.

Observed Outcomes: An Approach to Calculate the Optimum Number of Psychiatric Beds

The number of psychiatric beds, in most developed countries, has decreased progressively since the late 1950s. Many clinicians believe that this reduction has gone too far. But how can we determine the number of psychiatric beds a mental health system needs? While the population health approach has advantages over the normative approach, it makes assumptions about optimal and minimum duration of hospitalization required for various psychiatric disorders. In this paper, we describe a naturalistic approach that estimates the required number of psychiatric beds by comparing the bed levels at which negative outcomes develop in different jurisdictions. We hypothesize that there will be a threshold below which negative outcomes will be seen across jurisdictions. We predict that hospital key performance indices will be more sensitive to bed reductions than the clinical and social outcomes of patients. The observed outcome approach can complement other approaches to determining bed numbers at the national and local levels, and should be a priority for future health services research.

Predicting Patients' Readmission: Do Clinicians Outperform a Statistical Model? An Exploratory Study on Clinical Risk Judgment in Mental Health

This study explores whether clinicians or a statistical model can better identify patients at risk of early readmission and investigates variables potentially associated with clinicians' risk judgment. We focus on a total of 142 patients discharged from acute psychiatric wards in the Verona Mental Health Department (Italy). Psychiatrists assessed patients' risk of readmission at 30 and 90 days postdischarge, predicted their postdischarge compliance, and assessed their Global Assessment of Functioning (GAF) score at admission and discharge. Clinicians' judgment outperformed the statistical model, with the difference reaching statistical significance for 30-day readmission. Clinicians' readmission risk judgment, both for 30 and 90 days, was found to be statistically associated with predicted compliance with community treatment and GAF score at discharge. Clinicians' superior performance might be explained by their risk judgment depending on nonmeasurable factors, such as experience and intuition. Patients with a poorer GAF score at discharge and poor assumed compliance were predicted to have a higher risk of readmission.

Discharge planning, self-management, and community support: Strategies to avoid psychiatric rehospitalisation from a service user perspective

OBJECTIVE

Psychiatric rehospitalisation is often seen as a negative outcome in terms of healthcare quality and cost, as well as potentially hindering the process of recovery. The purpose of our study was to explore psychiatric rehospitalisation from a service-user perspective, paying attention to how rehospitalisation can be avoided.

METHOD

Eight focus groups, including a total of 55 mental health service users, were conducted in six European countries (Austria, Finland, Italy, Norway, Romania, and Slovenia). The results were analysed using systematic text condensation.

RESULTS

All participants had been in touch with mental health services for at least one year, and had experienced more than one psychiatric hospitalisation. Participants emphasised the importance of discharge planning and psychoeducation both during and after the hospital stay, as well as the benefits of structured plans, coping strategies, self-monitoring techniques, and close contact with local community services.Social contacts and meaningful activities were also considered to be critical, as was support from peers and family members.

CONCLUSION

Efforts to avoid psychiatric rehospitalisation should include actions that support a functional day-to-day life, improve coping strategies, and build on cross-sectoral collaboration.

PRACTICE IMPLICATIONS

The study emphasises the need for psychoeducational and psychosocial interventions, starting already during the inpatient stay.

Racial Disparities in Pediatric Psychiatric Emergencies: A Health Systems Approach

Less than half of African American youth with severe mental disorders receive psychiatric care. When they do receive care, African American youth use the Emergency Department at higher rates than whites. We examine whether rapid expansion of primary mental health care at Community Health Centers reduces Emergency Department visits for psychiatric care especially among African American youth. Through four studies, we examine (1) the impact of mental health service capacity on the disparity of psychiatric care among African American youth; (2) how Community Health Center mental health visits vary with repeat psychiatric emergency visits; (3) the county-level drivers of the expansion of Community Health Centers; and (4) how Community Health Center expansion affects overall psychiatric emergency care. Results indicate that increased continuity of mental health care at Community Health Centers corresponds with a reduction in racial disparities in youth psychiatric ED visits. In addition, an increase in Community Health Center capacity varies inversely with repeated psychiatric Emergency Department visits and inversely with psychiatric Emergency Department visits overall. And finally, results show an increase in Community Health Center mental health services among counties with greater poverty, lower physician availability, and higher percentage of uninsured. Our studies indicate that expansion of federally-funded primary mental health services affects the overall system of emergency psychiatric care. However, this expansion does not appear to dramatically reduce racial/ethnic disparities in psychiatric emergency department visits.

Factors associated with 30-day and 1-year readmission among psychiatric inpatients in Beijing China: a retrospective, medical record-based analysis

BACKGROUND

Psychiatric readmissions negatively impact patients and their families while increasing healthcare costs. This study aimed at investigating factors associated with psychiatric readmissions within 30 days and 1 year of the index admissions and exploring the possibilities of monitoring and improving psychiatric care quality in China.

METHODS

Data on index admission, subsequent admission(s), clinical and hospital-related factors were extracted in the inpatient medical record database covering 10 secondary and tertiary psychiatric hospitals in Beijing, China. Logistic regressions were used to examine the associations between 30-day and 1-year readmissions plus frequent readmissions (≥3 times/year), and clinical variables as well as hospital characteristics.

RESULTS

The 30-day and 1-year psychiatric readmission rates were 16.69% (1289/7724) and 33.79% (2492/7374) respectively. 746/2492 patients (29.34%) were readmitted 3 times or more within a year (frequent readmissions). Factors significantly associated with the risk of both 30-day and 1-year readmission were residing in an urban area, having medical comorbidities, previous psychiatric admission(s), length of stay > 60 days in the index admission and being treated in tertiary hospitals (p < 0.001). Male patients were more likely to have frequent readmissions (OR 1.30, 95%CI 1.04-1.64). Receiving electroconvulsive therapy (ECT) was significantly associated with a lower risk of 30-day readmission (OR 0.72, 95%CI 0.56-0.91) and frequent readmissions (OR 0.60, 95%CI 0.40-0.91).

CONCLUSION

More than 30% of the psychiatric inpatients were readmitted within 1 year. Urban residents, those with medical comorbidities and previous psychiatric admission(s) or a longer length of stay were more likely to be readmitted, and men are more likely to be frequently readmitted. ECT treatment may reduce the likelihood of 30-day readmission and frequent admissions. Targeted interventions should be designed and piloted to effectively monitor and reduce psychiatric readmissions.

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

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

Clinical and organizational factors predicting readmission for mental health patients across Italy

PURPOSE

The aims of our study are: to explore rehospitalization in mental health services across Italian regions, Local Health Districts (LHDs), and hospitals; to examine the predictive power of different clinical and organizational factors.

METHODS

The data set included adult patients resident in Italy discharged from a general hospital episode with a main psychiatric diagnosis in 2012. Independent variables at the individual, hospital, LHD, and region levels were used. Outcome variables were individual-level readmission and LHD-level readmission rate to any hospital at 1-year follow-up. The association with readmission of each variable was assessed through both single- and multi-level logistic regression; descriptive statistics were provided to assess geographical variation. Relevance of contextual effects was investigated through a series of random-effects regressions without covariates.

RESULTS

The national 1-year readmission rate was 43.0%, with a cross-regional coefficient of variation of 6.28%. Predictors of readmission were: admission in the same LHD as residence, psychotic disorder, higher length of stay (LoS), higher rate of public beds in the LHD; protective factors were: young age, involuntary admission, and intermediate number of public healthcare staff at the LHD level. Contextual factors turned out to affect readmission only to a limited degree.

CONCLUSIONS

Homogeneity of readmission rates across regions, LHDs, hospitals, and groups of patients may be considered as a positive feature in terms of equity of the mental healthcare system. Our results highlight that readmission is mainly determined by individual-level factors. Future research is needed to better explore the relationship between readmission and LoS, discharge decision, and resource availability.

Assessing psychiatric safety in suicidal emergency department patients

We provide a review of the assessment of suicidal emergency department patients and includes a legal and ethical perspective. Screening tools and psychiatric consultation are important adjuncts to the ED evaluation of potentially suicidal patients. Suicide risk should be assessed, and if positive, an appropriate and safe disposition should be arranged. The aim of this article is to review these assessment tools and consider ethical issues, such as patient autonomy, accountability of the emergency physician, and consultant to Emergency Medical Treatment and Labor Act (EMTALA) as well as confidentiality, privacy, and social issues.

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

BACKGROUND

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

AIMS

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

METHOD

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

RESULTS

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

CONCLUSIONS

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

Factors Associated With High Use of Hospital Psychiatric Services in Málaga, Spain: Analysis of First Admissions

The early prediction of patients at risk may facilitate the efficient use of interventions that have been demonstrated to reduce readmissions. The aim of the study was to analyze variables during first admissions associated with further high use of an inpatient hospitalization psychiatric unit in Málaga, Spain. The risk of having three or more psychiatric admissions was analyzed in a sample of 1535 first-time admissions with multivariate Cox regression. In the multivariate model, the variables associated with the risk of high use were age at admission (p < 0.001), length of stay (p < 0.001), place of residence (p < 0.001), and previous history with mental health services (p < 0.001). The results suggest that there are several easily accessible characteristics at first admission that are potentially useful in detecting patients at risk.

Psychiatric-related Revisits to the Emergency Department Following Rapid Expansion of Community Mental Health Services

OBJECTIVES

Repeat visits (revisits) to emergency departments (EDs) for psychiatric care reflect poor continuity of care and impose a high financial cost. We test whether rapid expansion of community health centers (CHCs)-which provide regional, low-cost primary care-correspond with fewer repeat psychiatric-related ED visits (PREDVs).

METHODS

We obtained repeated cross-sectional time-series data for 7.8 million PREDVs from the State Emergency Department Database for four populous U.S. states (California, Florida, North Carolina, and New York) from 2006 to 2011. We specified as the outcome variable the count of repeat visits per ED visitor with a psychiatric diagnosis. We retrieved aggregate-level mental health visits at CHCs from the Uniform Data System. Negative binomial regression methods controlled for individual-level confounders, county health system and sociodemographic attributes, year fixed effects, and county fixed effects.

RESULTS

The risk of a repeat PREDV decreased with a county-level increase in mental health patients seen at CHCs (incidence rate ratio = 0.986, 95% confidence interval = 0.98 to 0.99). Conversion of this rate ratio to the number of revisits averted indicated 34,000 fewer repeat PREDVs in these four states statistically associated with a 1% expansion in CHC mental health visits. Exploratory analyses found that revisits decline for relatively mild/moderate illnesses (e.g., mood, anxiety disorders) but not for severe illnesses (e.g., schizophrenia/psychoses).

CONCLUSION

An increase in mental health services at CHCs corresponds with a modest decline in repeat PREDVs. This decline concentrates among those with less severe mental illnesses.

Correlates of psychiatric inpatient readmissions of children and adolescents with mental disorders

To identify correlates of psychiatric readmission of youth, we conducted a consecutive, retrospective 1-year cohort study (07.01.2014-06.30.2015) of youth (age = 5-17.9) admitted to psychiatric inpatient facility. Stepwise elimination, multivariable logistic regression analyses were conducted to identify independent correlates of 1-year and 30-day psychiatric readmissions. The Family/Caregiver Interview Tool (FCIT) was given to caregivers of 30-day readmitted youth and analyzed using generalized linear model to predict time to readmission. Altogether, 1231 youth experienced 1534 hospitalizations. The 1-year readmission rate was 32.4%; 30-day readmission rate was 10.2%. Significant independent correlates of readmissions were longer length of stay, higher antipsychotic treatment rates, living closer to the hospital, and comorbid obesity, all accounting for 12.2% of variance. FCIT revealed that caregiver's ability to fill prescription after discharge delayed readmission, while shorter time to follow-up appointment hastened it. Illness exacerbation was responsible for 73% of 30-day readmissions; system of care factors accounted for 13%. Compared to clinicians, caregivers significantly underestimated environment of care factors (including caregiver's mental health) as the primary cause for readmission. Readmissions are common and correlate with illness severity and systems of care factors. Family support services may help reduce readmissions. Hospital-specific qualitative investigation may help identify intervention targets to reduce readmissions.

Tools for Moving On: Adapting an Evidence-Based Housing Curriculum for Individuals Receiving Services in an Inpatient Psychiatric Setting to Prepare for Community Living

Individuals with serious mental illness transitioning from state psychiatric hospitals to community living need specialized skills to enter community housing programs. There are few examples of best practice hospital group programs to improve community living skills. To address this gap, the authors developed a community skills training and discharge readiness program, Tools for Moving On (TFMO), adapted from materials from the Substance Abuse and Mental Health Services Administration Permanent Supportive Housing: Tools for Tenants toolkit. The new program uses facilitator and participant handouts, implementation recommendations, and covers four topics, including housing choices, housing preferences, tenancy skills, and support needs. Adapting existing evidence-based practices for individuals in state psychiatric hospitals may aid in successful discharge and community living and support nurses in their efforts for discharge. [Journal of Psychosocial Nursing and Mental Health Services, 57(8), 23-29.].

Using national electronic health care registries for comparing the risk of psychiatric re-hospitalisation in six European countries: Opportunities and limitations

Psychiatric re-hospitalisation rates have been of longstanding interest as health care quality metric for planners and policy makers, but are criticized for not being comparable across hospitals and countries due to measurement unclarities. The objectives of the present study were to explore the interoperability of national electronic routine health care registries of six European countries (Austria, Finland, Italy, Norway, Romania, Slovenia) and, by using variables found to be comparable, to calculate and compare re-hospitalisation rates and the associated risk factors. A "Methods Toolkit" was developed for exploring the interoperability of registry data and protocol led pilot studies were carried out. Problems encountered in this process are described. Using restricted but comparable data sets, up to twofold differences in psychiatric re-hospitalisation rates were found between countries for both a 30- and 365-day follow-up period. Cumulative incidence curves revealed noteworthy additional differences. Health system characteristics are discussed as potential causes for the differences. Multi-level logistic regression analyses showed that younger age and a diagnosis of schizophrenia/mania/bipolar disorder consistently increased the probability of psychiatric re-hospitalisation across countries. It is concluded that the advantage of having large unselected study populations of national electronic health care registries needs to be balanced against the considerable efforts to examine the interoperability of databases in cross-country comparisons.

Associations between readmission and patient-reported measures in acute psychiatric inpatients: a study protocol for a multicenter prospective longitudinal study (the ePOP-J study)

Background

Several previous observational studies have reported the risk factors associated with readmission in people with mental illness. While patient-reported experiences and outcomes have become increasingly important in healthcare, only a few studies have examined these parameters in terms of their direct association with readmission in an acute psychiatric setting. This project will investigate multiple factors associated with readmission and community living in acute psychiatric patients in Japan. This study will primarily investigate whether patient-reported experiences at discharge, particularly quality of life (QoL), are associated with future readmission and whether readmission after the index hospitalization is associated with changes in patient-reported outcomes during the study period. Here, we describe the rationale and methods of this study.

Methods

This multicenter prospective cohort study is being conducted in 21 participating Japanese hospitals, with a target sample of approximately 600 participants admitted to the acute psychiatric ward. The study has four planned assessment points: time of index admission (T1), time of discharge (from the index admission) (T2), 6 months after discharge from the index admission (T3), and 12 months after discharge from the index admission (T4). Participants will complete self-reported measures including a QoL scale, a subjective disability scale, and an empowerment- and self-agency-related scale at each assessment point; additionally, service satisfaction, subjective view of need for services, and subjective relationships with family members will be assessed at T2 and T3. We will assess the participants’ hospitalization during the study period and evaluate several potential individual- and service-level factors associated with readmission and patient-reported experiences and outcomes. Multivariate analyses will be conducted to identify potential associations between readmission and patient-reported experiences and outcomes.

Discussion

The present study may produce evidence on how patient-reported experiences at discharge influence readmission and on the influence of readmission on the course of patient-reported outcomes from admission to community living after discharge. The study may contribute to improving care for both patients’ subjective views of their own health conditions and their community lives in an acute psychiatric setting.

Trial registration University Hospital Medical Information Network—Clinical Trials Registry (UMIN-CTR) UMIN000034220. Registered on September 20, 2018.

Electronic supplementary material

The online version of this article (10.1186/s13033-019-0298-3) contains supplementary material, which is available to authorized users.

Mentally disordered offenders discharged from designated hospital facilities under the medical treatment and supervision act in Japan: Reoffending and readmission

BACKGROUND

Current Japanese forensic mental health legislation (Medical Treatment and Supervision Act [MTSA]) was enacted in 2003. Little is known, however, about the actual outcomes for the offender patients detained within hospitals under this provision.

AIM

This study aimed to quantify reoffending and readmission following patients' discharge from forensic psychiatric hospital units across Japan and explore related risk factors.

METHODS

We followed up 526 offenders with mental disorder who had been detained under the MTSA and who were subsequently discharged from any of the 28 hospitals nationwide between 2007 and 2015.

RESULTS

The total cumulative reoffence rate was found to be 2.5% (1.1-3.9%) after 1 year and 7.5% (4.6-10.4%) after 3 years. The rate of serious reoffending was 0.4% (-0.18% to 0.99%) after 1 year and 2.0% (0.4-3.6%) after 3 years. The cumulative admission rate to local psychiatric hospitals following a discharge was 21.8% after 6 months and 37.6% after 1 year. Patients who had been discharged from their MTSA order but transferred to a general psychiatric hospital before open community residence-because it was necessary to build community supports-were more likely to reoffend than those discharged directly to the community. Patients who had been diagnosed with a substance use disorder (F10-F19) and had one subsequent admission were at higher risk of further readmissions.

CONCLUSIONS

The low reoffending rates could be attributed to the intensive treatment and care plans required by the MTSA. The high rate of readmission to psychiatric hospitals may indicate shortcomings in community mental health services in Japan.

The effects of a schizophrenia pay-for-performance program on patient outcomes in Taiwan

OBJECTIVE

To examine the effects of a schizophrenia pay-for-performance (P4P) program on the health outcomes of patients in Taiwan.

DATA SOURCES

Seven years (2007-2013) of data from the National Health Insurance Administration (NHIA) databases were examined.

STUDY DESIGN

P4P patients included those who were treated at participating facilities and consecutively included in the regular group (classified by the NHIA). Non-P4P patients were treated at nonparticipating facilities and never included in the regular group. The caliper matching method and a generalized estimating equation were used to estimate difference-in-differences models (baseline year 2009) and examine the short- and long-term effects of the P4P program on adverse outcomes.

PRINCIPAL FINDINGS

The schizophrenia P4P program was associated with decreases in unscheduled outpatient visits (OR: 0.69, P < 0.001) and compulsory admissions (incidence rate ratio: 0.33, P < 0.05). However, this program was not associated with decreases in other outcomes including emergency department visits for any disease, admissions to an acute psychiatric ward, and readmission within 6 months.

CONCLUSIONS

Although the disease management component of the P4P program can be beneficial for compulsory admissions, more sophisticated activities, such as health promotion targeting disadvantaged patients, could be implemented to reduce the occurrence of complicated adverse outcomes.

Factors associated with long length of stay in an inpatient psychiatric unit in Lilongwe, Malawi

PURPOSE

Studies of factors affecting length of stay during psychiatric hospitalization in sub-Saharan Africa are sparse. A better understanding of such factors may lead to interventions resulting in quicker patient stabilization and discharge, freeing up needed psychiatric beds and reducing health care system expenditures. Therefore, we sought to identify factors associated with long length of stay in Malawi.

METHODS

We reviewed the charts of 417 patients hospitalized at Kamuzu Central Hospital's Bwaila Psychiatric Unit in Lilongwe, Malawi from January 1 to December 31, 2011. Multivariate logistic regression analysis was employed to test for associations between patient factors and long length of stay (defined as more than 28 days).

RESULTS

Mean length of stay was 22.08 ± 27.70 days (range 0-243). 21.82% (91/417) of patients stayed longer than 28 days. Long length of stay was associated with living outside of Lilongwe district [aOR: 3.65 (1.66-8.01), p = 0.001] and treatment for antipsychotic extrapyramidal side effects (EPS) during hospitalization [aOR: 3.45 (1.32-9.03), p = 0.012]. Patients who had more interactions with medical providers for this episode of illness prior to presentation at the unit were less likely to have a long length of stay [aOR: 0.35 (0.16-0.76), p = 0.008].

CONCLUSIONS

Our findings demonstrate areas of possible intervention to reduce length of stay, including securing means for patient transport home, rapid identification and treatment of EPS, and reducing the risk of EPS by decreased use of high potency first-generation antipsychotics.

Mental health service users' experiences of psychiatric re-hospitalisation - an explorative focus group study in six European countries

Background

Psychiatric re-hospitalisation is considered costly and disruptive to individuals. The perspective of the mental health service user is largely unexplored in literature.

The purpose of our study was to explore service users’ experiences of psychiatric re-hospitalisation across six countries in Europe.

Method

Eight focus groups were conducted in Romania, Slovenia, Finland, Italy, Austria and Norway.

Results

A total of 55 service users participated in the study. All participants had been in receipt of mental health services for at least 1 year, and had experienced more than one psychiatric hospitalisation. The experience of re-hospitalisation was considered: (1) less traumatising than the first hospitalisation, (2) to be necessary, and a relief, (3) occurring by default and without progress, (4) part of the recovery process.

Conclusions

Psychiatric re-hospitalisation was considered inevitable by the study participants, in both positive and negative terms. Striking similarities in service user experiences were found across all of the six countries, the first experience of psychiatric hospitalisation emerging as especially significant. Findings indicate the need for further action in order to develop more recovery and person-centred approaches within hospital care. For psychiatric inpatient care to be a positive part of the recovery process, further knowledge on what therapeutic action during the hospital stay would be beneficial, such as therapy, activities and integration with other services.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3317-1) contains supplementary material, which is available to authorized users.

Unplanned admissions to inpatient psychiatric treatment and services received prior to admission

BACKGROUND

Inpatient bed numbers are continually being reduced but are not being replaced with adequate alternatives in primary health care. There is a considerable risk that eventually all inpatient treatment will be unplanned, because planned or elective treatments are superseded by urgent needs when capacity is reduced.

AIMS OF THE STUDY

To estimate the rate of unplanned admissions to inpatient psychiatric treatment facilities in Norway and analyse the difference between patients with unplanned and planned admissions regarding services received during the three months prior to admission as well as clinical, demographical and socioeconomic characteristics of patients.

METHOD

Unplanned admissions were defined as all urgent and involuntary admissions including unplanned readmissions. National mapping of inpatients was conducted in all inpatient treatment psychiatric wards in Norway on a specific date in 2012. Binary logit regressions were performed to compare patients who had unplanned admissions with patients who had planned admissions (i.e., the analyses were conditioned on admission to inpatient psychiatric treatment).

RESULTS

Patients with high risk of unplanned admission are suffering from severe mental illness, have low functional level indicated by the need for housing services, high risk for suicide attempt and of being violent, low education and born outside Norway.

CONCLUSION

Specialist mental health services should support the local services in their efforts to prevent unplanned admissions by providing counselling, short inpatient stays, outpatient treatment and ambulatory outpatient psychiatry services.

IMPLICATIONS FOR HEALTH POLICIES

This paper suggests the rate of unplanned admissions as a quality indicator and considers the introduction of economic incentives in the income models at both service levels.

A comparison of decisions to discharge committed psychiatric patients between treating physicians and district psychiatric committees: an outcome study

BACKGROUND

The Israel Mental Health Act of 1991 stipulates a process for involuntary psychiatric hospitalization (IPH). A patient thus hospitalized may be discharged by either the treating psychiatrist (TP) or the district psychiatric committee (DPC). The decision rendered by the DPC is often at odds with the recommendation of the TP. Although much has been written about the ethical issues of restricting patients' rights and limiting their freedom, far less attention has been devoted to the psychiatric, medical, and social outcome of legal patient discharge against the doctor's recommendation.

METHODS

In our study we examined the outcomes of the decisions made by the DPC using readmission data, an internationally recognized indicator of the quality of hospital care, and compared them to the outcomes of patients discharged by the TP. All IPH discharges resulting from the DPC's determination for the year 2013 (N = 972) were extracted from the Israel national register. We also collected all IPH discharges owing to the TP's decision for 2013 (N = 5788). We defined "failure" as readmission in less than 30 days, involuntary civil readmission in less than 180 days, and involuntary readmission under court order in less than 1 year.

RESULTS

The rehospitalization pattern was compared in the two groups of patients discharged from their psychiatric hospitalization during 2013 (index discharges) and followed up individually for a year. We found a statistically significant difference between the DPC and the TP group for each of the time frames, with the DPC group returning to IPH much more frequently than the TP group. Using cross-sectional comparison with logistic regression adjusted for age, gender, diagnosis and length of hospitalization, we found the probability of a decision failure in the TP group was significantly less with an OR of 0.7 (95% CI .586-.863), representing a 30% adjusted decrease in the probability for failure in the TP group.

CONCLUSIONS

The results we present show that the probability of decision "failure" (readmission) was found to be significantly higher in the DPC group than in the TP group. It is often assumed that IPH patients will fare better at home in their communities than in a protracted hospitalization. This is frequently the rationale for early discharge by the DPC (30.1 days vs. 75.9 DPC and TP groups, respectively). Our results demonstrate that this rationale may well be a faulty generalization.

Overview of post-discharge predictors for psychiatric re-hospitalisations: a systematic review of the literature

BACKGROUND

High levels of hospital readmission (rehospitalisation rates) is widely used as indicator of a poor quality of care. This is sometimes also referred to as recidivism or heavy utilization. Previous studies have examined a number of factors likely to influence readmission, although a systematic review of research on post-discharge factors and readmissions has not been conducted so far. The main objective of this review was to identify frequently reported post-discharge factors and their effects on readmission rates.

METHODS

Studies on the association between post-discharge variables and readmission after an index discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management, OpenGrey and Google Scholar. Relevant articles published between January 1990 and June 2014 were included. A systematic approach was used to extract and organize in categories the information about post-discharge factors associated with readmission rates.

RESULTS

Of the 760 articles identified by the initial search, 80 were selected for this review which included a total number of 59 different predictors of psychiatric readmission. Subsequently these were grouped into four categories: 1) individual vulnerability factors, 2) aftercare related factors, 3) community care and service responsiveness, and 4) contextual factors and social support. Individual factors were addressed in 58 papers and were found to be significant in 37 of these, aftercare factors were significant in 30 out of the 45 papers, community care and social support factors were significant in 21 out of 31 papers addressing these while contextual factors and social support were significant in all seven papers which studied them.

CONCLUSIONS

This review represents a first attempt at providing an overview of post-discharge factors previously studied in association with readmission. Hence, by mapping out the current research in the area, it highlights the gaps in research and it provides guidance future studies in the area.

Pre-discharge factors predicting readmissions of psychiatric patients: a systematic review of the literature

BACKGROUND

Readmission rate is considered an indicator of the mental health care quality. Previous studies have examined a number of factors that are likely to influence readmission. The main objective of this systematic review is to identify the studied pre-discharge variables and describe their relevance to readmission among psychiatric patients.

METHODS

Studies on the association between pre-discharge variables and readmission after discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. Relevant publications published between January 1990 and June 2014 were included. For each variable, the number of papers that considered it as a predictor of readmission and that found a significant association was recorded, together with the association direction and whether it was found respectively in bivariate and in multivariate analyses.

RESULTS

Of the 734 articles identified in the search, 58 papers were included in this review, mainly from the USA and concerning patients with severe mental disorders. Analysed variables were classified according to the following categories: patients' demographic, social and economic characteristics; patients' clinical characteristics; patients' clinical history; patients' attitude and perception; environmental, social and hospital characteristics; and admission and discharge characteristics. The most consistently significant predictor of readmission was previous hospitalisations. Many socio-demographic variables resulted as influencing readmission, but the results were not always homogeneous. Among other patients' clinical characteristics, diagnosis and measures of functional status were the most often used variables. Among admission characteristics, length of stay was the main factor studied; however, the results were not very consistent. Other relevant aspects resulted associated with readmission, including the presence of social support, but they have been considered only in few papers. Results of quality assessment are also reported in the review. The majority of papers were not representative of the general psychiatric population discharged from an inpatient service. Almost all studies used multivariate analytical methods, i.e., confounders were controlled for, but only around 60% adjusted for previous hospitalisation, the variable most consistently considered associated to readmission in the literature.

CONCLUSIONS

The results contribute to increase knowledge on pre-discharge factors that could be considered by researchers as well as by clinicians to predict and prevent readmissions of psychiatric patients. Associations are not always straightforward and interactions between factors have to be considered.