Predictors for readmission into children's inpatient mental health treatment

Reduction of Mental Health-Related Emergency Department Admissions for Youth and Young Adults Following a Remote Intensive Outpatient Program: Quality Improvement Analysis

BACKGROUND

Pediatric mental health emergency department (ED) visits are increasing at 6% to 10% per year, at substantial cost, while 13% of youth with psychiatric hospitalizations are readmitted in the following weeks. Hospitals do not have the resources to meet escalating youth's mental health needs. Intensive outpatient (IOP) programs, which provide multiple hours of care each week, have the power to reduce the number of patients in need of hospitalized care and provide a step-down option for patients discharging from ED's in order to prevent readmissions.

OBJECTIVE

The purpose of this program evaluation was to assess (1) whether youth and young adult ED admission rates decreased following participation in a remote IOP program and (2) whether there were differences in readmission rates between youth and young adults by gender identity, sexual orientation, race, or ethnicity.

METHODS

Data were collected from intake and 3-month postdischarge surveys for 735 clients who attended at least 6 sessions of a remote IOP program for youth and young adults. Patients reported if they had been admitted to an ED within the previous 30 days and the admission reason. Over half (407/707, 57.6%) of clients were adolescents and the rest were young adults (300/707, 42.4%; mean age 18.25, SD 4.94 years). The sample was diverse in gender identity (329/687, 47.9% female; 196/687, 28.5% male; and 65/669, 9.7% nonbinary) and sexual orientation (248/635, 39.1% heterosexual; 137/635, 21.6% bisexual; 80/635, 10.9% pansexual; and 170/635, 26.8% other sexual orientation) and represented several racial (9/481, 1.9% Asian; 48/481, 10% Black; 9/481, 1.9% Indigenous; 380/481, 79% White; and 35/481, 7.2% other) and ethnic identities (112/455, 24.6% Hispanic and 28/455, 6.2% other ethnic identity).

RESULTS

Mental health-related ED admissions significantly decreased between intake and 3 months after discharge, such that 94% (65/69) of clients with a recent history of mental health-related ED admissions at IOP intake reported no mental health-related ED admissions at 3 months after discharge from treatment (χ21=38.8, P<.001). There were no differences in ED admissions at intake or in improvement at 3 months after discharge by age, gender, sexuality, race, or ethnicity.

CONCLUSIONS

This study documents a decrease in ED admissions between intake and 3 months after discharge among both youth and young adults who engage in IOP care following ED visits. The similar outcomes across demographic groups indicate that youth and young adults experience similar decreases after the current tracks of programming. Future research could conduct a full return-on-investment analysis for intensive mental health services for youth and young adults.

Referral patterns to outpatient child and adolescent mental health services and factors associated with referrals being rejected. A cross-sectional observational study

BACKGROUND

Outpatient child and adolescent mental health services (CAMHS) are faced with the challenge of balancing increasing demands with limited resources. An additional challenge is high rejection rates of referrals which causes frustration for referring agents and families. In order to effectively plan and allocate available resources within CAMHS there is a need for up-to-date knowledge on referral patterns and factors associated with rejection of referrals.

METHODS

In this cross-sectional observational study we did a retrospective review of all referrals (n = 1825) for children (0-18) referred for assessment at the outpatient CAMHS of the North Denmark Region in 2018.

RESULTS

The most common referral reasons to CAMHS were attention deficit disorder (ADHD/ADD) (27.9%), autism spectrum disorder (22.4%), affective disorders (14.0%) and anxiety disorders (11.6%). The majority of referrals came from general practitioners, but for neurodevelopmental disorders educational psychologists were the primary referral source. Re-referrals constituted more than a third of all referrals (35.9%). Children in care were overrepresented in this clinical sample and had an increased risk (Adj. OR 2.54) of having their referrals rejected by CAMHS. Referrals from general practitioners were also associated with an increased risk of rejection (Adj. OR 3.29).

CONCLUSIONS

A high proportion of children with mental disorders have a repeated need for assessment by CAMHS. There is a need for future research on predictors of re-referral to outpatient services to identify potential targets for reducing re-referral rates as well as research on how to optimize service provision for children with a repeated need for assessment. General practitioners are the main gatekeepers to CAMHS and research on interventions to improve the referral process should be aimed towards general practitioners.

Perspectives of Parents and Providers on Reasons for Mental Health Readmissions: A Content Analysis Study

Pediatric hospitalizations for mental health conditions are rapidly increasing, with readmission rates for mental health conditions surpassing those for non-mental health conditions. The objective of this study was to identify reasons for pediatric mental health readmissions from the perspectives of parents and providers. We performed a retrospective content analysis of surveys administered to parents and providers of patients with a 14-day readmission to an inpatient pediatric psychiatry unit between 5/2017 and 8/2018. Open-ended survey items assessed parent and provider perceptions of readmission reasons. We used deductive coding to categorize survey responses into an a priori coding scheme based on prior research. We used inductive coding to identify and categorize responses that did not fit into the a priori coding scheme. All data were recoded using the revised schema and reliability of the coding process was assessed using kappa statistics and consensus building. We had completed survey responses from 89 (64%) of 138 readmission encounters (56 parent surveys; 61 provider surveys). The top three readmission reasons that we identified from parent responses were: discordant inpatient stay expectations with providers (41%), discharge hesitancy (34%), and treatment plan failure (13%). Among providers, the top readmission reasons that we identified were: access to outpatient care (30%), treatment adherence (13%), and a challenging home (11%) and social environment (11%). We identified inpatient stay expectations, discharge hesitancy, and suboptimal access to outpatient care as the most prominent reasons for mental health readmissions, which provide targets for future quality improvement efforts.

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.

Re-Accessing Community Mental Health Services for Children and Adolescents

A substantial number of children experience persistent or recurrent problems and may need more than one episode of care. However, there is a paucity of research on recurrent service use. The present study examined the rates and predictors of re-accessing community-based care. Secondary data analyses were conducted on administrative data from 5 mental health agencies in Ontario (N = 1802). Approximately a third (29.6%) of children who had an episode of care re-accessed services again within 4 years; the median time to re-access was 386 days or 12.68 months. Social content (e.g., age, parental marital status) and treatment system (e.g., spacing of visits) variables predicted re-accessing services, although predictors varied based on how services were re-accessed. A better understanding of the factors that influence recurrent service use may help mental health agencies better prepare for and facilitate this process for families.

Factors Associated With Multiple Psychiatric Readmissions for Youth With Mood Disorders

OBJECTIVE

Inpatient psychiatric readmission rates are increasingly considered indicators of quality of care. This study builds upon prior research by examining patient-, hospital-, and community-level factors associated with single and multiple readmissions for youth.

METHOD

A retrospective cohort study was conducted using Medicaid claims data from four states supplemented with the American Hospital Association survey, the Area Resource File, and the National Survey of Mental Health Treatment Services. Multinomial logistic regression examined patient-, hospital-, and community-level factors that were associated with inpatient psychiatric readmission for 6,797 Medicaid-eligible youth with a primary diagnosis of mood disorder using a three-level nominal dependent variable coded as no readmission, one readmission, and two or more readmissions within 6 months after discharge.

RESULTS

Six months after initial discharge, 941 youth (13.8%) were readmitted once and 471 (6.9%) were readmitted two or more times. The odds of single or multiple readmissions were significantly higher (p < .05) for youth classified as disabled or in foster care, those with multiple psychiatric comorbidities, medical comorbidity, and prior psychiatric hospitalization. Treatment in hospitals with high percentage of Medicaid discharges and a high number of beds was associated with lower odds of readmission. There was a significant interaction between length of stay and outpatient mental health follow-up within 7 days of discharge.

CONCLUSION

Patient- and hospital-level factors are associated with likelihood of both single and multiple youth inpatient psychiatric readmissions, suggesting potential risk markers for psychiatric readmission.

Health Care Reform, Length of Stay, and Readmissions for Child Mental Health Hospitalizations

BACKGROUND

Health care reform may impact inpatient mental health services by increasing access and changing insurer incentives. We examined whether implementation of the 2014 Affordable Care Act (ACA) was associated with changes in psychiatric length of stay (LOS) and 30-day readmissions for pediatric patients.

METHODS

We conducted an interrupted time-series analysis to evaluate LOS and 30-day readmissions during the 30 months before and 24 months after ACA implementation, with a 6-month wash-out period, on patients aged 4 to 17 years who were discharged from the psychiatry unit of a children's hospital. Differences by payer (Medicaid versus non-Medicaid) were examined in moderated interrupted time series. Logistic regression was used to examine the association between psychiatric LOS and 30-day readmissions.

RESULTS

There were 1874 encounters in the pre-ACA period and 2186 encounters in the post-ACA period. Compared with pre-ACA implementation, post-ACA implementation was associated with LOS that was significantly decreasing over time (pre-ACA versus post-ACA slope difference: -0.10 days per encounter per month [95% confidence interval -0.17 to -0.02]; P = .01), especially for Medicaid-insured patients (pre-ACA versus post-ACA slope difference: -0.14 days per encounter per month [95% confidence interval -0.26 to -0.01]; P = .03). The overall proportion of 30-day readmissions increased significantly (pre-ACA 6%, post-ACA 10%; P < .05 for the difference). We found no association between LOS and 30-day readmissions.

CONCLUSIONS

ACA implementation was associated with a decline in psychiatric inpatient LOS over time, especially for those on Medicaid, and an increase in 30-day readmissions. LOS was not associated with 30-day inpatient readmissions. Further investigation to understand the drivers of these patterns is warranted.

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.

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.

A logic model development for an adolescent based intervention to improve benefits from Therapeutic Residential Care (TRC)

There is a significant need to comprehensively describe and illustrate via a logic model what processes work for adolescents in residential treatment facilities and how to make improvements (Bean, White, Neagle & Lake, 2005).The purpose of this article is to highlight one Adolescent TRC's journey to develop and implement a working Logic Model.

Predictors of Partial Hospital Readmission for Young Children with Oppositional Defiant Disorder

This study aimed to: (1) examine rates of readmission among young children with oppositional defiant disorder (ODD) following discharge from a psychiatric partial hospital treatment program, and (2) examine child factors (i.e., age, sex, co-occurring diagnoses, suicidality) and family factors (i.e., parental depression, stress) as prospective predictors of readmission. Participants were 261 children (ages 3-7 years) who entered the study at the time of their initial program admission and who met DSM-IV criteria for ODD. Of these 261 children, 61 (23%) were subsequently readmitted, with most readmissions occurring within 1 year. Cox regression survival analyses demonstrated that younger child age, child suicidal thoughts and behavior, and child PTSD diagnosis were associated with decreased time to readmission. Findings suggest that young children with ODD who present with co-occurring suicidality or PTSD are at risk for readmission following partial hospitalization, with implications for treatment and aftercare planning.

Reducing pediatric psychiatric hospital readmissions and improving quality care through an innovative Readmission Risk Predictor Tool

PROBLEM

Less than 30-day readmission has become a national problem. This pediatric medical center discovered that the primary diagnosis of Mood Disorder, not otherwise specified, was the third most common readmission diagnosis hospital-wide. Administration actively sought a resolution to less-than-30-day readmissions because All-Patient-Refined-Diagnostic-Related Groups would soon include pediatric hospitals with reimbursement impact.

METHODS

The Iowa Model for evidence-based practice framed the work of case management to identify readmission risk, reduce readmissions, and improve patient quality. In July 2014, the Readmit Predictor Tool (RPT) and Protocol were developed from literature review of contributing factors of pediatric psychiatric readmissions and assessed levels of readmission risk. The nurse case manager provided follow-up telephone calls to caregivers with children identified as moderate-to-high risk for readmissions.

FINDINGS

Effects of RPT use resulted in decreased readmissions by 29.5% in the first year, followed by 7.8% and 5.1% reductions in the second and third years, respectively, despite substantial increases in patient acuity during the period.

CONCLUSION

Using the RPT and initiating the psychiatry nurse case manager position, less-than-30-day readmissions decreased over a 3-year period.

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.

Effects of Family Structure on Mental Health of Children: A Preliminary Study

BACKGROUND

To find any association between family structure and rates of hospitalization as an indicator for behavior problems in children.

METHODS

Retrospective chart review of 154 patients who were admitted to the preadolescent unit at Lincoln Prairie Behavioral Health Center between July and December 2012.

RESULTS

We found that only 11% of children came from intact families living with biological parents while 89% had some kind of disruption in their family structure. Two-third of the children in the study population had been exposed to trauma with physical abuse seen in 36% of cases. Seventy-one percent had reported either a parent or a sibling with a psychiatric disorder. Children coming from biologically family were less likely to have been exposed to trauma. Children coming from single/divorced families were less likely to have been exposed to sexual abuse but more likely to have a diagnosis of attention deficit hyperactivity disorder (ADHD) compared to other types of families. Strong association was found between exposure to trauma and certain diagnoses in respect to hospitalization. ADHD predicted a 4 times likelihood of having more than one previous hospitalization, with mood disorder, oppositional defiant disorder, and physical abuse increasing the risk by more than twice.

CONCLUSIONS

Significant differences in family structure were demonstrated in our study of children being admitted to inpatient psychiatric hospitalization. The presence of trauma and family psychiatric history predicted higher rates of readmission. Our study highlighted the role of psychosocial factors, namely, family structure and its adverse effects on the mental well-being of children.

Exploring the Needs for Support of Pediatric Nurses Caring for Children with a Mental Health Disorder Hospitalized in Non-Psychiatric Units

This qualitative study explored the experience and the needs for support of pediatric nurses caring for children with a mental health disorder hospitalized in non-psychiatric units in a health organization in Canada. Semi-structured interviews were conducted with 17 nurses. Content analysis revealed two main themes: (a) nurses are challenged by the lack of knowledge, the gap between access to mental health resources and the basic role of only ensuring safety. Amidst these barriers, nurses revealed their feelings of helplessness, frustration and injustice. (b) All participants voiced their willingness to break this powerlessness loop. They identified several strategies to support them: more training in mental health, better collaboration with the mental health team, etc. Further research is needed to evaluate the efficiency of these strategies to improve the delivery of care for children with a mental health disorder hospitalized in non-psychiatric units.

Does the Hospital Predict Readmission? A Multi-level Survival Analysis Approach

Time to psychiatric rehospitalization was predicted for a sample of 1473 Medicaid-insured youth in Illinois in 2005 and 2006. A multi-level model statistical strategy was employed to account for the fact that youth days to rehospitalization were nested within hospital and to test the hypothesis that hospitals would vary significantly in return rates, controlling for individual-level (e.g., symptom, demographic) variables. Hospitals did not vary significantly in days to rehospitalization. At the individual-level, level of externalizing behavior and residential treatment placement predicted a faster return to the hospital. These results support the perspective that hospital outcomes are best operationalized using variables tied more directly to the inpatient episode (e.g., LOS, reductions in acuity).

Predictors of re-entry into the child protection system in Singapore: a cumulative ecological-transactional risk model

This study examines the risk factors of re-entry for 1,750 child protection cases in Singapore using a cumulative ecological-transactional risk model. Using administrative data, the present study found that the overall percentage of Child Protection Service (CPS) re-entry in Singapore is 10.5% based on 1,750 cases, with a range from 3.9% (within 1 year) to 16.5% (within 8 years after case closure). One quarter of the re-entry cases were observed to occur within 9 months from case closure. Seventeen risk factors, as identified from the extant literature, were tested for their utility to predict CPS re-entry in this study using a series of Cox regression analyses. A final list of seven risk factors (i.e., children's age at entry, case type, case closure result, duration of case, household income, family size, and mother's employment status) was used to create a cumulative risk score. The results supported the cumulative risk model in that higher risk score is related to higher risk of CPS re-entry. Understanding the prevalence of CPS re-entry and the risk factors associated with re-entry is the key to informing practice and policy in a culturally relevant way. The results from this study could then be used to facilitate critical case management decisions in order to enhance positive outcomes of families and children in Singapore's care system.

Common and costly hospitalizations for pediatric mental health disorders

BACKGROUND AND OBJECTIVES

Inpatient pediatric mental health is a priority topic for national quality measurement and improvement, but nationally representative data on the patients admitted or their diagnoses are lacking. Our objectives were: to describe pediatric mental health hospitalizations at general medical facilities admitting children nationally; to assess which pediatric mental health diagnoses are frequent and costly at these hospitals; and to examine whether the most frequent diagnoses are similar to those at free-standing children's hospitals.

METHODS

We examined all discharges in 2009 for patients aged 3 to 20 years in the nationally representative Kids' Inpatient Database (KID) and in the Pediatric Health Information System (free-standing children's hospitals). Main outcomes were frequency of International Classification of Diseases, Ninth Revision, Clinical Modification-defined mental health diagnostic groupings (primary and nonprimary diagnosis) and, using KID, resource utilization (defined by diagnostic grouping aggregate annual charges).

RESULTS

Nearly 10% of pediatric hospitalizations nationally were for a primary mental health diagnosis, compared with 3% of hospitalizations at free-standing children's hospitals. Predictors of hospitalizations for a primary mental health problem were older age, male gender, white race, and insurance type. Nationally, the most frequent and costly primary mental health diagnoses were depression (44.1% of all mental health admissions; $1.33 billion), bipolar disorder (18.1%; $702 million), and psychosis (12.1%; $540 million).

CONCLUSIONS

We identified the child mental health inpatient diagnoses with the highest frequency and highest costs as depression, bipolar disorder, and psychosis, with substance abuse an important comorbid diagnosis. These diagnoses can be used as priority conditions for pediatric mental health inpatient quality measurement.