Hospital length of stay for children and adolescents diagnosed with depression: is primary payer an influencing factor?

Emergency department visits in the United States for pediatric depression: estimates of charges and hospitalization

OBJECTIVES

The objective of this study was to calculate national estimates of depression-related emergency department (ED) visits and associated health care resource use among children and adolescents 17 years or younger. Another goal was to explore the effects of certain sociodemographic and health care system factors and comorbidities on ED charges and subsequent hospitalization in the United States.

METHODS

The authors analyzed data from the 2006 and 2009 National Emergency Department Sample (NEDS), the largest source of U.S. ED data. ED visits with all listed diagnoses (i.e., principal diagnosis plus secondary conditions) of depression were identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes 293.83, 296.2X, 296.3X, 300.4, and 311. Population-based estimates of ED visits, hospitalization, resource use, comorbidities, and demographics associated with pediatric depression were calculated. Potentially significant covariate associations were also explored using ED charges and hospital admission from the ED.

RESULTS

The 2006 and 2009 NEDS sample contained 365,713 ED visits for pediatric depression; the majority were made by adolescents (87.9%). Of these, 27.2% were admitted to the hospital, 69.5% were treated and released, and <0.1% died in ED. The ED charges in 2012 U.S. dollars summed to a hospital bill of $443.8 million, with the ED plus inpatient charges ($1.2 billion) being more than double that amount. The median inpatient length of stay (LOS) was 4.0 days. Suicide and intentional self-inflicted injury were attempted by 31.4% of the patients. Attention-deficit, conduct, and disruptive disorders; anxiety disorders; substance use disorders; asthma; and infections were the most common comorbidities. In year 2009, a higher number of diagnoses, older age, being female, key comorbidities, and suicide and intentional self-inflicted injury were significantly associated with higher ED charges (all p < 0.05). Increased odds of hospital admission from the ED were significantly associated with a higher number of diagnoses, key comorbidities, and suicide and intentional self-inflicted injury (all p < 0.05).

CONCLUSIONS

Pediatric depression is common in the ED and is associated with significant burden to the health care system. Certain factors such as a higher number of diagnoses, key comorbidities, and suicide and intentional self-inflicted injury are associated with increased health care costs and resource use. Special attention should be given to these factors, when present.

Predicting length of stay and readmission for psychiatric inpatient youth admitted to adult mental health beds in Ontario, Canada

BACKGROUND

The purpose of this study was to examine demographic, background, and psychopathology variables that predict length of stay and readmission among youth with mental health needs.

METHOD

We analyzed data on 2445 youth who were admitted into adult psychiatric beds in Ontario, Canada. Multiple regression was used to examine length of stay, whereas logistic regression was used to examine the predictors of readmission.

RESULTS

Youth were likely to stay longer in hospital if they were older, were boys, had a diagnosis of schizophrenia, mood disorders, eating disorders, personality disorders, and intellectual disability. Education, discharged against medical advice, and a diagnosis of adjustment disorders were all associated with shorter length of stay. Age, living in a group home or assisted care, a diagnosis of schizophrenia, mood disorders, and intellectual disability predicted readmission.

CONCLUSION

Strategies to improve current psychiatric services (e.g. how to reduce psychiatric hospital readmissions) are discussed.

Primary payer status is significantly associated with postoperative mortality, morbidity, and hospital resource utilization in pediatric surgical patients within the United States

PURPOSE

Current healthcare reform efforts have highlighted the potential impact of insurance status on patient outcomes. The influence of primary payer status (PPS) within the pediatric surgical patient population remains unknown. The purpose of this study was to examine risk-adjusted associations between PPS and postoperative mortality, morbidity, and resource utilization in pediatric surgical patients within the United States.

METHODS

A weighted total of 153,333 pediatric surgical patients were evaluated using the national Kids' Inpatient Database (2003 and 2006): appendectomy, intussusception, decortication, pyloromyotomy, congenital diaphragmatic hernia repair, and colonic resection for Hirschsprung's disease. Patients were stratified according to PPS: Medicare (n=180), Medicaid (n=51,862), uninsured (n=12,539), and private insurance (n=88,753). Multivariable hierarchical regression modeling was utilized to evaluate risk-adjusted associations between PPS and outcomes.

RESULTS

Overall median patient age was 12 years, operations were primarily non-elective (92.4%), and appendectomies accounted for the highest proportion of cases (81.3%). After adjustment for patient, hospital, and operation-related factors, PPS was independently associated with in-hospital death (p<0.0001) and postoperative complications (p<0.02), with increased risk for Medicaid and uninsured populations. Moreover, Medicaid PPS was also associated with greater adjusted lengths of stay and total hospital charges (p<0.0001). Importantly, these results were dependent on operation type.

CONCLUSIONS

Primary payer status is associated with risk-adjusted postoperative mortality, morbidity, and resource utilization among pediatric surgical patients. Uninsured patients are at increased risk for postoperative mortality while Medicaid patients accrue greater morbidity, hospital lengths of stay, and total charges. These results highlight a complex interaction between socioeconomic and patient-related factors, and primary payer status should be considered in the preoperative risk stratification of pediatric patients.

Antipsychotic drug use among elderly nursing home residents in the United States

BACKGROUND

Antipsychotic utilization in elderly nursing home residents has increased substantially in recent years, primarily due to the use of atypical antipsychotic agents. However, few studies have examined antipsychotic utilization patterns in nursing home residents in the United States since the introduction of atypical agents in the 1990s.

OBJECTIVE

The goal of this study was to examine the prevalence of and the factors associated with antipsychotic drug use among elderly nursing home residents in the United States.

METHODS

This study involved a cross-sectional analysis of prescription and resident data files from the 2004 National Nursing Home Survey (NNNHS). The analysis focused on the use of 11 typical and 6 atypical antipsychotic agents among a nationally representative sample of elderly patients (aged > or =65 years). Descriptive weighted analysis was performed to examine antipsychotic prevalence patterns. Multiple logistic regression analysis within the conceptual framework of the Andersen behavioral model was used to examine the factors associated with antipsychotic drug use among the elderly nursing home residents.

RESULTS

According to the 2004 NNHS, 0.32 million elderly nursing home residents received antipsychotic medications, for an overall prevalence of 24.82%. Most received atypical agents (23.45%), while 1.90% received typical agents. Frequently reported diagnoses among the elderly using an antipsychotic agent were dementia (70%), depression (41%), and anxiety (18%). Among the predisposing characteristics, female gender and age (> or =85 years) were negatively associated with antipsychotic drug use. Need factors such as increasing dependence in decision-making ability regarding tasks of daily life, depressed mood indicators, behavioral symptoms, history of falls, and bowel incontinence were positively associated with antipsychotic drug use. In addition to the use of antipsychotic agents in schizophrenia and bipolar mania, this study found high use in conditions such as dementia, anxiety, depression, and parkinsonism in the elderly.

CONCLUSIONS

Nearly 1 in 4 elderly nursing home residents in the United States received antipsychotic agents. Predisposing and need factors played a vital role in determining the use of antipsychotic agents in these elderly patients. Overall, the study findings suggest that there is a need to monitor antipsychotic drug use by elderly patients in US nursing homes in light of recent efficacy and safety data on atypical agents.