Why do adolescents return to an acute psychiatric unit?

Brief Interventions for Suicidal Youths in Medical Settings: A Meta-Analysis

CONTEXT

Most youths who die by suicide have interfaced with a medical system in the year preceding their death, placing outpatient medical settings on the front lines for identification, assessment, and intervention.

OBJECTIVE

Review and consolidate the available literature on suicide risk screening and brief intervention with youths in outpatient medical settings and examine common outcomes.

DATA SOURCES

The literature search looked at PubMed, OVID, CINAHL, ERIC, and PsychInfo databases.

STUDY SELECTION

Interventions delivered in outpatient medical settings assessing and mitigating suicide risk for youths (ages 10-24). Designs included randomized controlled trials, prospective and retrospective cohort studies, and case studies.

DATA EXTRACTION

Authors extracted data on rates of referral to behavioral health services, initiation/adjustment of medication, follow-up in setting of assessment, suicidal ideation at follow-up, and suicide attempts and/or crisis services visited within 1 year of initial assessment.

RESULTS

There was no significant difference in subsequent suicide attempts between intervention and control groups. Analysis on subsequent crisis service could not be performed due to lack of qualifying data. Key secondary findings were decreased immediate psychiatric hospitalizations and increased mental health service use, along with mild improvement in subsequent depressive symptoms.

LIMITATIONS

The review was limited by the small number of studies meeting inclusion criteria, as well as a heterogeneity of study designs and risk of bias across studies.

CONCLUSIONS

Brief suicide interventions for youth in outpatient medical settings can increase identification of risk, increase access to behavioral health services, and for crisis interventions, can limit psychiatric hospitalizations.

The prevalence and impact of adolescent hospitalization to adult psychiatric units

BACKGROUND

With increasing psychiatric hospitalizations among adolescents and constrained hospital resources, there are times when youth are hospitalized in adult inpatient psychiatry units. Evidence on the prevalence of this practice and associated impacts is lacking.

AIMS

We sought to explore the prevalence, determinants, and outcomes related to the hospitalization of adolescents aged 12-17 years on adult inpatient psychiatry units in Ontario.

METHODS

Using health administrative data, we constructed a cohort of adolescents with an inpatient psychiatric admission in Ontario (2007-2011). We classified adolescents as having an admission to an adult psychiatry unit or to other inpatient units. Multivariable regression models were used to estimate prevalence ratios (PR) for factors associated with adult admission, as well as risk ratios (RR) for the impact of adult admission on length of stay, discharge against medical advice, and 30-day readmission.

RESULTS

Over the study period, 22.6% of adolescents with a psychiatric hospitalization (n = 16 998) had an admission to an adult psychiatry unit. Older age (16 vs. 15 years: PR = 2.27, 95% CI = 2.07-2.48; 17 vs. 15 years: PR = 2.91, 95% CI = 2.66-3.18), rural residence (PR = 1.46, 95% CI = 1.38-1.55), psychotic (PR = 1.25, 95% CI = 1.15-1.36) or personality disorder (PR = 1.59, 95% CI = 1.41-1.80) diagnoses, and involuntary status (PR = 2.18, 95% CI = 2.05-2.31) were independently associated with adult admission. Adolescents admitted to adult units were more likely to be discharged against medical advice (RR = 1.77, 95% CI = 1.45-2.17).

CONCLUSIONS

Nearly one in four adolescent psychiatric admissions occurs on an adult psychiatric unit. These findings help to fill gaps in the prior literature, and highlight the need for further research to inform policy decisions and resource allocation for adolescent inpatient psychiatric care.

Risk Factors for Revolving Door in Children and Adolescents with Psychiatric Disorders

Revolving Door (RD) is a frequent phenomenon afflicting children and adolescents with psychiatric diagnoses. Nevertheless, risk factors for RD are still a matter of debate. To better understand RD phenomenon, we conducted a retrospective study on 224 children and adolescents (165 females and 59 males, aged 6-16 years) with a psychiatric hospitalization, taking the multiple risk factors together. At this aim, 108 patients with multiple hospitalizations and 116 patients with only one hospitalization were compared on demographic characteristics, clinical conditions, psychiatric ward stay, and post-discharge management factors. More than half of psychiatric patients were readmitted within three months of discharge. RD patients presented greater severity of illness, needed longer stays, and were more frequently placed in residential facilities than non-RD patients. Non-suicidal self-injurious and adoption were the main predictors of RD. Clinical instruments that detected behavioural and emotional symptoms, suicidal ideation severity, and level of impairment of the person's functioning were useful to identify patients at high risk for RD. In conclusion, our findings pointed out that several risk factors have to be considered to better understand and, in the future, prevent RD phenomenon.

A 5-year retrospective cohort study of unplanned readmissions in an Australian tertiary paediatric hospital

Objective The aim of this study was to examine the characteristics and prevalence of all-cause unplanned hospital readmissions at a tertiary paediatric hospital in Western Australia from 2010 to 2014. Methods A retrospective cohort descriptive study was conducted. Unplanned hospital readmission was identified using both 28- and 30-day measurements from discharge date of an index hospital admission to the subsequent related unplanned admission date. This allowed international comparison. Results In all, 73132 patients with 134314 discharges were identified. During the 5-year period, 4070 discharges (3.03%) and 3330 patients (4.55%) were identified as 30-day unplanned hospital readmissions. There were minimal differences in the rate of readmissions on Days 28, 29 and 30 (0.2%). More than 50% of readmissions were identified as a 5-day readmission. Nearly all readmissions for croup and epiglottitis occurred by Day 5; those for acute bronchiolitis and obstructive sleep apnoea requiring tonsillectomy and/or adenoidectomy occurred by Day 15 and those for acute appendicitis and abdominal and pelvic pain occurred by Day 30. Conclusion This study highlights the variability in the distribution of time intervals from discharge to readmission among diagnoses, suggesting the commonly used 28- or 30-day readmission measurement requires review. It is crucial to establish an appropriate measurement for specific paediatric conditions related to readmissions for the accurate determination of the prevalence and actual costs associated with readmissions. What is known about this topic? Unplanned hospital readmissions result in inefficient use of health resources. Australia has used 28 days to measure unplanned readmissions. However, the 30-day measurement is commonly used in the literature. Only five Australian studies were identified with a focus on readmissions associated with specific paediatric health conditions. What does this paper add? This is the first known study examining paediatric all-cause unplanned same-hospital readmissions in Western Australia. The study used both 28- and 30-day measures from discharge to unplanned readmission to allow international comparison. More than half the unplanned hospital readmissions occurred between Day 0 and Day 5 following discharge from the index admission. Time intervals from discharge date to readmission date varied for diagnosis-specific readmissions of paediatric patients. What are the implications for practitioners? Targeting the top principal index admission diagnoses identified for paediatric readmissions is critical for improvement in the continuity of discharge care delivery, health resource utilisation and associated costs. Because 52% of unplanned readmissions occurred in the first 5 days, urgent investigation and implementation of prevention strategies are required, especially when the readmission occurs on the date of discharge.

Predicting Psychiatric Rehospitalization in Adolescents

Adolescent psychiatric rehospitalizations are common, cause patients and their families severe psychological distress, and use tremendous healthcare resources. This study sought to identify predictors of rehospitalization in 783 adolescents in the 2 year period following psychiatric hospitalization at a major treatment facility in a large urban area. A current diagnosis of posttraumatic stress disorder, greater severity of lifetime suicidal ideation (SI) and stronger treatment alliance prior to hospitalization were associated with a greater likelihood of rehospitalization. Overall, severe lifetime SI was the strongest predictor of rehospitalization; although, within the first 4 months post-discharge, moderate lifetime SI was the strongest predictor. Future research should continue to identify additional factors that may influence rehospitalization, such as the intensity of post-discharge services.

Psychiatric Readmission of Children and Adolescents: A Systematic Review and Meta-Analysis

OBJECTIVE

To investigate predictors of psychiatric hospital readmission of children and adolescents, a systematic review and meta-analysis was conducted.

METHODS

Following PRISMA statement guidelines, a systematic literature search of articles published between 1997 and 2018 was conducted in PubMed/MEDLINE, Google Scholar, and PsycINFO for original peer-reviewed articles investigating predictors of psychiatric hospital readmission among youths (<18 years old). Effect sizes were extracted and combined by using random-effects meta-analysis. Covariates were investigated with meta-regression and subgroup analyses.

RESULTS

Thirty-three studies met inclusion criteria, containing information on 83,361 children and adolescents, of which raw counts of readmitted vs. non-readmitted youths were available for 76,219. Of these youths, 13.2% (N=10,076) were readmitted. The mean±SD study follow-up was 15.9±15.0 months, and time to readmission was 13.1±12.8 months. Readmission was associated with, but not limited to, suicidal ideation at index hospitalization (pooled odds ratio [OR_pooled]=2.35, 95% confidence interval [CI]=1.64-3.37), psychotic disorders (OR_pooled=1.87, 95% CI=1.53-2.28), prior hospitalization (OR_pooled=2.51, 95% CI=1.76-3.57), and discharge to residential treatment (OR_pooled=1.84, 95% CI=1.07-3.16). There was evidence of moderate study bias. Prior investigations were methodologically and substantively heterogeneous, particularly for measurement of family-level factors.

CONCLUSIONS

Interventions to reduce child psychiatric readmissions should place priority on youths with indicators of high clinical severity, particularly with a history of suicidality, psychiatric comorbidity, prior hospitalization, and discharge to residential treatment. Standardization of methods to determine prevalence rates of readmissions and their predictors is needed to mitigate potential biases and inform a national strategy to reduce repeated child psychiatric hospital readmissions.

Risk factors associated with 30-day all-cause unplanned hospital readmissions at a tertiary children's hospital in Western Australia

AIM

To identify risk factors associated with 30-day all-cause unplanned hospital readmission at a tertiary children's hospital in Western Australia.

METHODS

An administrative paediatric inpatient dataset was analysed retrospectively. Patients of all ages discharged between 1 January 2010 and 31 December 2014 were included. Demographic and clinical information at the index admission was examined using multivariate logistic regression analysis.

RESULTS

A total of 3330 patients (4.55%) experienced at least one unplanned readmission after discharge. Readmission was more likely to occur in patients who were either older than 16 years (odds ratio (OR) = 1.46; 95% confidence interval (CI) 1.07-1.98), utilising private insurance as an inpatient (OR = 1.16; 95% CI 1.00-1.34), with greater socio-economic advantage (OR = 1.20; 95% CI 1.02-1.41), admitted on Friday (OR = 1.21; 95% CI 1.05-1.39), discharged on Friday/Saturday/Sunday (OR = 1.26, 95% CI 1.10-1.44; OR = 1.34, 95% CI 1.15-1.57; OR = 1.24, 95% CI 1.05-1.47, respectively), with four or more diagnoses at the index admission (OR = 2.41; 95% CI 2.08-2.80) or hospitalised for 15 days or longer (OR = 2.39; 95% CI 1.88-2.98). Area under receiver operating characteristic curve of the predictive model is 0.645.

CONCLUSIONS

A moderate discriminative ability predictive model for 30-day all-cause same hospital readmission was developed. A structured discharge plan is suggested to be commenced from admission to ensure continuity of care for patients identified as being at higher risk of readmission. A recommendation is made that a designated staff member be assigned to co-ordinate the plan, including assessment of patients' and primary carers' readiness for discharge. Further research is required to establish comprehensive paediatric readmission rates by accessing linkage data to capture different hospital readmissions.

Risk factors associated with paediatric unplanned hospital readmissions: a systematic review

OBJECTIVE

To synthesise evidence on risk factors associated with paediatric unplanned hospital readmissions (UHRs).

DESIGN

Systematic review.

DATA SOURCE

CINAHL, EMBASE (Ovid) and MEDLINE from 2000 to 2017.

ELIGIBILITY CRITERIA

Studies published in English with full-text access and focused on paediatric All-cause, Surgical procedure and General medical condition related UHRs were included.

DATA EXTRACTION AND SYNTHESIS

Characteristics of the included studies, examined variables and the statistically significant risk factors were extracted. Two reviewers independently assessed study quality based on six domains of potential bias. Pooling of extracted risk factors was not permitted due to heterogeneity of the included studies. Data were synthesised using content analysis and presented in narrative form.

RESULTS

Thirty-six significant risk factors were extracted from the 44 included studies and presented under three health condition groupings. For All-cause UHRs, ethnicity, comorbidity and type of health insurance were the most frequently cited factors. For Surgical procedure related UHRs, specific surgical procedures, comorbidity, length of stay (LOS), age, the American Society of Anaesthesiologists class, postoperative complications, duration of procedure, type of health insurance and illness severity were cited more frequently. The four most cited risk factors associated with General medical condition related UHRs were comorbidity, age, health service usage prior to the index admission and LOS.

CONCLUSIONS

This systematic review acknowledges the complexity of readmission risk prediction in paediatric populations. This review identified four risk factors across all three health condition groupings, namely comorbidity; public health insurance; longer LOS and patients<12 months or between 13-18 years. The identification of risk factors, however, depended on the variables examined by each of the included studies. Consideration should be taken into account when generalising reported risk factors to other institutions. This review highlights the need to develop a standardised set of measures to capture key hospital discharge variables that predict unplanned readmission among paediatric patients.

Gender Specific Characteristics of Revolving Door Adolescents in Acute Psychiatric Inpatient Care

This study examined the impact of clinical and family related factors on adolescent revolving door (RD) phenomenon, defined as having three or more psychiatric hospitalizations before the age of 18. A clinical sample of adolescents (N = 508) aged 13-17 years, admitted to psychiatric inpatient care between April 2001 through March 2006, were interviewed using the k-SADS-PL and the EuropASI instruments. The national Finnish Care Register for Health Care provided life-time data on child and adolescent psychiatric inpatient hospitalizations. RD boys were shown to be significantly more likely than non-RD boys to be admitted to psychiatric inpatient care from child welfare placements and have previous self-mutilative behavior (SMB) and suicide attempts. RD girls were more likely to come from child welfare placements, have unemployed mothers and a history of SMB. Mortality in RD boys was significantly higher compared to non-RD boys. Frequent use of psychiatric inpatient care warrants comprehensive assessment of suicidal behavior in adolescents.

Predictors of Rehospitalization for Depressed Adolescents Admitted to Acute Psychiatric Treatment

OBJECTIVE

Presently, little is known about what factors predict adolescent psychiatric rehospitalization. Thus, the present study tested whether a battery of demographic and clinical characteristics predicted readmission within 6 months of discharge.

METHODS

Participants were 165 adolescents (112 females) aged 13-19 years (mean = 15.61, SD = 1.48) admitted to an acute residential treatment program between November 25, 2013, and November 18, 2014. Patients met diagnostic criteria (DSM-IV-TR) for current major depressive disorder or dysthymia. At admission, participants completed a battery of clinical interviews and questionnaires assessing demographics, early life stress, comorbid diagnoses, psychiatric symptoms, suicidality, self-injury, and risky behavior engagement. At discharge, psychiatric symptoms were reassessed. Readmission to the same residential service was monitored over a 6-month period following discharge.

RESULTS

Overall, 12.1% of adolescents were rehospitalized. We conducted a series of Cox regression survival analyses to test demographic and clinical predictors of patients' time to readmission. More frequent self-injurious behaviors in the month prior to hospitalization was significantly associated with a more rapid time to rehospitalization (β = 0.05, SE = .02, Wald₁ = 4.35, P = .037, OR = 1.05, 95% CI = 1.003-1.10).

CONCLUSIONS

It is critical to more effectively manage self-injury during the treatment of depressed adolescents, as this is the strongest predictor of later rehospitalization.

Treatment recidivism in adolescents with mental illness: A focused applied medical ethnography

PROBLEM

Treatment recidivism, described as frequent unplanned relapse readmissions, is a national problem predominant in adolescents with mental illness. Because the main triggers of treatment recidivism are not fully understood, the purpose of this study was to explore treatment recidivism (i) to better understand treatment recidivism from the perspectives of recidivist adolescents with mental illness, (ii) to describe major factors that contribute to treatment recidivism and how best to minimize them from the perspectives of these adolescents, and (iii) to describe their interaction with the medical culture.

METHODS

A focused applied medical ethnography was used to study 16 purposively selected adolescents. Interviews were conducted together with unobtrusive unit observation of the participants and collection of demographic and clinical information.

FINDINGS

The participants were nearly unanimous in identifying the "additional stressors" of problematic parental relations and school bullying as the main triggers of treatment recidivism over and above their "routine stressors" of adolescence and mental illness. They had mixed perceptions of treatment recidivism and described their interaction with the medical culture as positive.

CONCLUSION

Further research is needed to determine the impact of parental relations and school bullying on recidivism in adolescents with mental illness.

Factors associated with readmission in South African adolescents discharged from two inpatient psychosocial rehabilitation units

OBJECTIVE

This study aimed to describe the socio-demographic and clinical factors associated with readmission in an adolescent population discharged from two inpatient psychosocial rehabilitation (PSR) units in Cape Town, South Africa.

METHOD

Data were obtained from 97 consecutive patients discharged from two adolescent psychiatric PSR units over a period of one year. Patients were followed up for readmission to hospitals offering specialised psychiatric care in the Western Cape Province over a period of 18 months.

RESULTS

35 patients (36%) were readmitted during the study period. Multivariable analysis showed that previous admission increased readmission rate (Incidence Rate Ratio (IRR): 8.01, p < 0.001). Adolescents who were still schooling (IRR: 0.29, p < 0.001) or had a higher level of education (IRR: 0.45, p = 0.001) were less likely to be readmitted. No association was seen with type of diagnosis and readmission, although 51 adolescents (53%) were diagnosed on the schizophrenia spectrum of disorders.

CONCLUSION

Study findings highlight the need for increased collaboration between the Departments of Health and Education. Furthermore, the study illustrates the need for specific post-discharge community follow-up for adolescents. Prospective research in this particular population group is needed to contribute to the literature on factors associated with readmission in South African adolescent patients.

An evidence synthesis of risk identification, assessment and management for young people using tier 4 inpatient child and adolescent mental health services

Background

Inpatient child and adolescent mental health services are one part of a complex system, and exist to meet the needs of young people with the greatest mental health difficulties.

Objectives

The research question was ‘What is known about the identification, assessment and management of risk (where “risk” is broadly conceived) in young people (aged 11–18 years) with complex mental health needs entering, using and exiting inpatient child and adolescent mental health services in the UK?’

Data sources

The two-phase Evidence for Policy and Practice Information and Co-ordinating Centre approach was used. In phase 1, scoping searches were made using two databases with an end date of March 2013. Phase 2 centred on the search for citations relating to the risks to young people of ‘dislocation’ and ‘contagion’. Searches were made using 17 databases, with time limits from 1995 to September 2013. Websites were searched, a call for evidence circulated and references of included citations reviewed.

Review methods

Priority risk areas for phase 2 were decided in collaboration with stakeholders including through consultations with young people and the mother of a child who had been in hospital. All types of evidence relating to outcomes, views and experiences, costs and cost-effectiveness, policies, and service and practice responses in the areas of ‘dislocation’ and ‘contagion’ for young people (11–18 years) using inpatient mental health services were considered. A staged approach to screening was used. Data were extracted into tables following guidance from the Centre for Reviews and Dissemination or tables developed for the review. Quality was assessed using appraisal checklists from the Effective Public Health Practice Project or the Critical Skills Appraisal Programme or devised by previous reviewers. No papers were excluded on the grounds of quality, and all materials identified were narratively synthesised.

Results

In phase 1, 4539 citations were found and 124 included. Most were concerned with clinical risks. In phase 2, 15,662 citations were found and 40 addressing the less obvious risks of ‘dislocation’ and ‘contagion’ were included, supplemented by 20 policy and guidance documents. These were synthesised using these categories: Dislocation: Normal Life; Dislocation: Identity; Dislocation: Friends; Dislocation: Stigma; Dislocation: Education; Dislocation: Families; and Contagion. No studies included an economic analysis or economic evaluation. The importance to stakeholders of these less obvious risks contrasted with the limited quantity and quality of research capable of informing policy, services and practice in these areas.

Limitations

Included studies were of variable quality. Data derived could not be used to inform an economic modelling of NHS costs or to analyse cost-effectiveness. Other limitations were the search for only English-language materials and the use of umbrella concepts (‘dislocation’ and ‘contagion’).

Conclusions

The less obvious risks are important, but little evidence exists to support their identification, assessment and management. This has implications for services, and a programme of research is recommended to generate new knowledge.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Risk factors for rehospitalization and inpatient care among pediatric psychiatric intake response center patients

BACKGROUND

The study sought to explore the characteristics, risk factors for inpatient recommendation, and risk factors for revisits to a pediatric psychiatric intake response center (PIRC). There are three research questions: 1. What is the general profile of pediatric patients who present at the PIRC? 2. What are the risk factors for patients who repeatedly visit the PIRC? 3. What are the risk factors for PIRC patients who are recommended to inpatient care?

METHODS

The study utilized a retrospective medical chart review of a random sample (n = 260). A PIRC profile was created using frequency and prevalence calculations, in addition to a survival analysis of patients who return to the PIRC in order to determine how long it takes for PIRC patients to return to the PIRC. Factors that contribute to increased odds of returning to PIRC and being recommended for inpatient treatment were calculated using two logistic regression analyses.

RESULTS

The average pediatric PIRC patient is about 13 years old, Caucasian, with Medicaid and comes from a divorced or single parent household. About 43% of patients presented at PIRC for suicidal thoughts, ideation, intentions or actions. At least 63% of patients have a history of victimization. The average time to return to PIRC is about 90 days. Patients with a history of victimization, suicidal behavior, learning problems, problems with peers, and a history of violence were at an increased odds of returning to the PIRC. Those patients who were previously admitted to inpatient care and had a family history of mental health issues were at increased odds of being recommended to inpatient treatment.

CONCLUSIONS

This sample presents with a multitude of issues that contribute to increased odds of revisits to PIRC and inpatient recommendation. These issues seem to come from multiple levels of influence. Future research should expand to similar treatment facilities and use a prospective design to confirm risk factors. Treatment for pediatric psychiatric patients may focus on multiple factors that influence patients' mental health.