Incidence of mental health conditions following pediatric hospital admissions: analysis of a national database.

Introduction: Despite increasing survival of children following hospitalization, hospitalization may increase iatrogenic risk for mental health (MH) disorders, including acute stress, post-traumatic stress, anxiety, or depression. Using a population-based retrospective cohort study, we assessed the rates of new MH diagnoses during the 12 months after hospitalization, including the moderating effects of ICU exposure. Study design/methods: This was a retrospective case control study using the Truven Health Analytics insurance database. Inclusion criteria included children aged 3-21 years, insurance enrollment for >12 months before and after hospital admission. We excluded children with hospitalization 2 years prior to index hospitalization and those with prior MH diagnoses. We extracted admission type, ICD-10 codes, demographic, clinical, and service coordination variables from the database. We established age- and sex-matched cohorts of non-hospitalized children. The primary outcome was a new MH diagnosis. Multivariable regression methods examined the risk of incident MH disorder(s) between hospitalized and non-hospitalized children. Among hospitalized children, we further assessed effect modification from ICU (vs. non-ICU) stay, admission year, length of stay, medical complexity, and geographic region. Results: New MH diagnoses occurred among 19,418 (7%) hospitalized children, 3,336 (8%) ICU-hospitalized children and 28,209 (5%) matched healthy controls. The most common MH diagnoses were anxiety (2.5%), depression (1.9%), and stress/trauma (2.2%) disorders. Hospitalization increased the odds of new MH diagnoses by 12.3% (OR: 1.123, 95% CI: 1.079-1.17) and ICU-hospitalization increased these odds by 63% (OR: 1.63, 95% CI: 1.483-1.79) as compared to matched, non-hospitalized children. Children with non-complex chronic diseases (OR: 2.91, 95% CI: 2.84-2.977) and complex chronic diseases (OR: 5.16, 95% CI: 5.032-5.289) had a substantially higher risk for new MH diagnoses after hospitalization compared to patients with acute illnesses. Conclusion: Pediatric hospitalization is associated with higher, long-term risk of new mental health diagnoses, and ICU hospitalization further increases that risk within 12 months of the acute episode. Acute care hospitalization confers iatrogenic risks that warrant long-term mental and behavioral health follow-up.

Cancer center-based follow-up among pediatric and adolescent/young adult cancer survivors: the role of a community-based organization and the social determinants of health.

PURPOSE: Adherence to survivorship care is suboptimal among pediatric and adolescent/young adult (AYA) cancer survivors. We evaluated predictors of cancer center-based follow-up among pediatric/AYA cancer survivors, with an emphasis on social determinants of health (SDOH). METHODS: This retrospective cohort study used electronic health record data at an academic medical center to identify patients aged 0-29 years at last cancer treatment who completed treatment 2010-2019. Cancer center-based follow-up was defined by oncology or survivorship clinic visits through 12/31/2022. Multivariate logistic regression models (overall, ages 0-19 [pediatric], 20-29 [YA]) evaluated the association of demographics, clinical/treatment characteristics, and SDOH (insurance type, distance to cancer center, area deprivation index) with clinic attendance. Further modeling accounted for the service area of a community-based organization (CBO) that supports families of children with cancer. RESULTS: A total of 2210 survivors were included (56% pediatric, 44% YA; 66% non-White). Cancer center-based follow-up decreased from 94% 1-year post-treatment to 35% at > 5-7 years. In adjusted analysis, AYAs had the lowest follow-up (5-7 years post-treatment: OR 0.25 [0.15-0.41] for age 25-29; OR 0.25 [0.16-0.41] for age 20-24; OR 0.32 [0.20-0.52] for age 15-19). Survivors residing within the CBO service area were twice as likely to follow-up (OR 2.10 [1.34-3.29]). CONCLUSIONS: Among a diverse population, AYA survivors were vulnerable to loss to follow-up. Other SDOH were not consistently associated with follow-up. Support from a CBO may partly explain these findings. IMPLICATIONS FOR CANCER SURVIVORS: CBOs may strengthen survivorship follow-up within medically underserved communities. More research is needed to understand community support in survivorship.

Effects of California's New Patient Homelessness Screening and Discharge Care Law in an Emergency Department.

Introduction California State Bill 1152 (SB1152) mandated all non-state-operated hospitals meet specific criteria when discharging patients identified as experiencing homelessness. Little is known about SB1152's effect on hospitals or compliance statewide. We studied the implementation of SB1152 in our emergency department (ED). Methods We analyzed our suburban academic ED's institutional electronic medical record for one year before (July 1, 2018-June 20, 2019) and one year after (July 1, 2019-June 30, 2020) implementation of SB1152. We identified individuals by lack of address during registration, International Classification of Diseases, Tenth Revision (ICD-10) code of homelessness, and/or the presence of an SB1152 discharge checklist. Demographics, clinical information, and repeat visit data were collected. Results ED volumes were constant during the pre- and post-SB1152 periods (approximately 75,000 annually); however, ED visits by people experiencing homelessness more than doubled (630 (0.8%) to 1530 (2.1%) in the pre- and post-implementation periods. Age and sex distributions were similar with approximately 80% of patients aged 31-65 years and less than 1% under 18. Visits by females comprised less than 30% of the population. Visits by people of the White race decreased from 50% to 40% pre- and post-SB1152. Visits by people of the Black, Asian, and Hispanic races experiencing homelessness increased by 18% to 25%, 1% to 4%, and 19% to 21%, respectively. Acuity was unchanged with 50% of visits classified as "urgent." Discharges increased from 73% to 81% and admissions halved from 18% to 9%. Visits by patients with only one ED visit decreased (28% to 22%); those with four or more visits increased (46% to 56%). The most common primary diagnoses pre- and post-SB1162 were alcohol use (6.8% and 9.3%, respectively), chest pain (3.3% and 4.5%, respectively), convulsions (3.0%, and 2.46%, respectively), and limb pain (2.3% and 2.3%, respectively). The primary diagnosis of suicidal ideation doubled from the pre- to post-implementation periods (1.3% to 2.2%, respectively). Checklists were completed for 92% of identified patients discharged from the ED. Conclusion Implementation of SB1152 in our ED resulted in identifying an increased number of persons experiencing homelessness. We identified opportunities for further improvement since pediatric patients were missed. Further analysis is warranted, especially with the coronavirus disease 2019 (COVID-19) pandemic, which has significantly affected healthcare-seeking behavior in EDs.

Characteristics of Pediatric Patient Transfers From General Emergency Departments in California From 2005 to 2018.

OBJECTIVE: Each year, approximately 300,000 pediatric patients are transferred out of emergency departments (EDs). Emergency department transfers may not only provide a higher level of care but also incur increased resource use and cost. Our objective was to identify hospital characteristics and patient demographics and conditions associated with ED transfer as well as the trend of transfers over time. METHODS: This was a retrospective cohort study of pediatric visits to EDs in California using the California Office of Statewide Health Planning and Development ED data set (2005-2018). Hospitals were categorized based on inpatient pediatric capabilities. Patients were characterized by demographics and Clinical Classifications Software diagnostic categories. Regression models were created to analyze likelihood of outcome of transfer compared with admission. RESULTS: Over the 14-year period, there were 38,117,422 pediatric visits to 364 EDs in California with a transfer rate of 1% to 2%. During this time, the overall proportion of pediatric transfers increased, whereas pediatric admissions decreased for all hospital types. Transfers were more likely in general hospitals without licensed pediatric beds (odds ratio [OR], 16.26; 95% confidence interval [CI], 15.87-16.67) and in general hospitals with licensed pediatric beds (OR, 3.54; 95% CI, 3.46-3.62) than in general hospitals with pediatric intensive care unit beds. Mental illness (OR, 61.00; 95% CI, 57.90-63.20), poisoning (OR, 11.78; 95% CI, 11.30-12.30), diseases of the circulatory system (OR, 6.13; 95% CI, 5.84-6.43), diseases of the nervous system (OR, 4.61; 95% CI, 4.46-4.76), and diseases of the blood and blood-forming organs (OR, 3.21; 95% CI, 3.62; 95% CI, 3.45-3.79) had increased odds of transfer. CONCLUSION: Emergency departments in general hospitals without pediatric intensive care units and patients' Clinical Classifications Software category were associated with increased likelihood of transfer. A higher proportion of patients with complex conditions are transferred than those with common conditions. General EDs may benefit from developing transfer processes and protocols for patients with complex medical conditions.

Obesity and Overweight Among Children With Medical Complexity.

OBJECTIVES: To assess the prevalence of overweight or obesity among children with medical complexity (CMC), compared with children without medical complexity, and explore potentially modifiable mechanisms. METHODS: This study involved a retrospective cohort of 41 905 children ages 2 to 18 seen in 2019 at a single academic medical center. The primary outcome was overweight or obesity, defined as a body mass index of ≥85% for age and sex. CMC was defined as ≥1 serious chronic condition in ≥1 system. Obesogenic conditions and medications were defined as those typically associated with excess weight gain. Multivariable logistic regression was used to adjust for common confounders. RESULTS: Of the children in the cohort, 29.5% were CMC. Overweight or obesity prevalence was higher among CMC than non-CMC (31.9% vs 18.4%, P ≤.001, adjusted odds ratio [aOR] 1.27, 95% confidence interval [CI] 1.20-1.35). Among CMC, the risk for overweight or obesity was higher among children with metabolic conditions (aOR 2.09, 95% CI 1.88-2.32), gastrointestinal conditions (aOR 1.23 95% CI 1.06-1.41), malignancies (aOR 1.21 95% CI 1.07-1.38), and Spanish-speaking parents (aOR 1.47 95% CI 1.30-1.67). Among overweight or obese CMC, 91.6% had no obesogenic conditions, and only 8.5% had been seen by a registered dietitian in the previous year. CONCLUSIONS: CMC are significantly more likely to be overweight or obese when compared with children without medical complexity. Although many CMC cases of overweight appear to be preventable, further research is necessary to determine if and how to prevent comorbid obesity among CMC.

The Impact of Telehealth Adoption During COVID-19 Pandemic on Patterns of Pediatric Subspecialty Care Utilization.

OBJECTIVE: The COVID-19 pandemic prompted health systems to rapidly adopt telehealth for clinical care. We examined the impact of demography, subspecialty characteristics, and broadband availability on the utilization of telehealth in pediatric populations before and after the early period of the COVID-19 pandemic. METHODS: Outpatients scheduled for subspecialty visits at sites affiliated with a single quaternary academic medical center between March-June 2019 and March-June 2020 were included. The contribution of demographic, socioeconomic, and broadband availability to visit completion and telehealth utilization were examined in multivariable regression analyses. RESULTS: Among visits scheduled in 2020 compared to 2019, in-person visits fell from 23,318 to 11,209, while telehealth visits increased from 150 to 7,675. Visits among established patients fell by 15% and new patients by 36% (P < .0001). Multivariable analysis revealed that completed visits were reduced for Hispanic patients and those with reduced broadband; high income, private non-HMO insurance, and those requesting an interpreter were more likely to complete visits. Those with visits scheduled in 2020, established patients, those with reduced broadband, and patients older than 1 year were more likely to complete TH appointments. Cardiology, oncology, and pulmonology patients were less likely to complete scheduled TH appointments. CONCLUSIONS: Following COVID-19 onset, outpatient pediatric subspecialty visits shifted rapidly to telehealth. However, the impact of this shift on social disparities in outpatient utilization was mixed with variation among subspecialties. A growing reliance on telehealth will necessitate insights from other healthcare settings serving populations of diverse social and technological character.

"Could we have predicted this?" The association of a future mental health need in young people with a non-specific complaint and frequent emergency department visits.

OBJECTIVE: Mental health emergencies among young people are increasing. There is growing pressure for emergency departments to screen patients for mental health needs even when it is not their chief complaint. We hypothesized that young people with an initial non-specific condition and emergency department (ED) revisits have increased mental health needs. METHODS: Retrospective, observational study of the California Office of Statewide Health Planning and Development Emergency Department Discharge Dataset (2010-2014) of young people (11-24 years) with an index visit for International Classification of Diseases, Ninth Revision diagnostic codes of "Symptoms, signs, and ill-defined conditions" (Non-Specific); "Diseases of the respiratory system" (Respiratory) and "Unintentional injury" (Trauma) who were discharged from a California ED. Patients were excluded if they had a prior mental health visit, chronic disease, or were pregnant. ED visit frequency was counted over 12 months. Regression models were created to analyze characteristics associated with a mental health visit. RESULTS: Patients in the Non-Specific category compared to the Respiratory category had 1.2 times the odds of a future mental health visit (OR 1.20; 95% CI 1.17-1.24). Patients with ≥1 ED revisit, regardless of diagnostic category, had 1.3 times the odds of a future mental health visit. Patients with both a Non-Specific index visit and 1, 2, and 3 or more revisits with non-specific diagnoses had increasing odds of a mental health visit (OR 1.38; 95% CI 1.29-1.47; OR 1.70; 95% CI 1.46-1.98; OR 2.20; 95% CI 1.70-2.87, respectively.). CONCLUSIONS: Young people who go to the ED for non-specific conditions and revisits may benefit from targeted ED mental health screening.

A retrospective observational cohort study: Epidemiology and outcomes of pediatric unintentional falls in US emergency departments.

INTRODUCTION: The objective is to determine how outcomes from unintentional falls differ for children with and without developmental disabilities, with a sensitivity analysis specifically examining those with ADHD. MATERIALS AND METHODS: This is a retrospective observational cohort study of 2010-2015 data from the Nationwide Emergency Department Sample (NEDS). The NEDS is a sampling of ED visits across 953 hospitals in 36 states. Unintentional falls for children with and without developmental disabilities were compared, adjusting for age, sex, payment source, income, mechanism, injury severity score (ISS). A sensitivity analysis was then performed for children with ADHD (n=139,642) and those without any developmental disabilities. A priori chosen outcomes included hospital admission, length of stay, intubation, and surgery. Logistic regression analysis estimated adjusted odds ratios for outcomes. RESULTS: Among children who presented to the ED with unintentional falls (n=13,217,237), there were 223,445 (1.7%) with developmental disabilities. The majority of those with developmental disabilities were male, ages 10-14 years. Compared to children without developmental disabilities, those with developmental disabilities were more likely to have an inpatient admission (aOR=2.27, 95% CI=2.10-2.44), length of stay more than 2 days (aOR=1.73, 95% CI=1.51-1.98), intubation (aOR=4.77, 95% CI=3.62-6.27) and surgery (aOR=2.11, 95% CI=1.93-2.32). A sensitivity analysis showed that 139,642 (1%) of children ages 5-17 years had ADHD. Of those with ADHD, the majority was also male, ages 10-14 years. Compared to children without ADHD, those with ADHD had a higher odds of inpatient admission (aOR=1.74, 95% CI=1.58-1.91), length of stay greater than 2 days (aOR=1.59, 95% CI=1.37-1.85), intubation (aOR=3.96, 95% CI=2.73-5.73), and surgery (aOR=1.82, 95% CI=1.60-2.06). CONCLUSIONS: Children with developmental disabilities, in particular those with ADHD, who experience falls are often older and male. They had greater odds of poor outcomes. These children need additional anticipatory guidance and attention to adequate treatment to prevent injuries from unintentional falls.

Gastrostomy Tubes Placed in Children With Neurologic Impairment: Associated Morbidity and Mortality.

BACKGROUND: Gastrostomy tube (G-tube) placement for children with neurologic impairment with dysphagia has been suggested for pneumonia prevention. However, prior studies demonstrated an association between G-tube placement and increased risk of pneumonia. We evaluate the association between timing of G-tube placement and death or severe pneumonia in children with neurologic impairment. METHODS: We included all children enrolled in California Children's Services between July 1, 2009, and June 30, 2014, with neurologic impairment and 1 pneumonia hospitalization. Prior to analysis, children with new G-tubes and those without were 1:2 propensity score matched on sociodemographics, medical complexity, and severity of index hospitalization. We used a time-varying Cox proportional hazard model for subsequent death or composite outcome of death or severe pneumonia to compare those with new G-tubes vs those without, adjusting for covariates described above. RESULTS: A total of 2490 children met eligibility criteria, of whom 219 (9%) died and 789 (32%) had severe pneumonia. Compared to children without G-tubes, children with new G-tubes had decreased risk of death (hazard ratio [HR] 0.47, 95% confidence interval [CI] 0.39-0.55) but increased risk of the composite outcome (HR 1.21, CI 1.14-1.27). Sensitivity analyses using varied time criteria for definitions of G-tube and outcome found that more recent G-tube placement had greater associated risk reduction for death but increased risk of severe pneumonia. CONCLUSION: Recent G-tube placement is associated with reduced risk of death but increased risk of severe pneumonia. Decisions to place G-tubes for pulmonary indications in children with neurologic impairment should weigh the impact of severe pneumonia on quality of life.

Hospitalization Patterns for Inpatient Pediatric Surgery and Procedures in California: 2000-2016.

BACKGROUND: We report hospitalization patterns from 2000 to 2016 for young children (ages 0-5 years old) in California who underwent 1 of the 20 most common inpatient procedures that required general anesthesia and evaluate the estimated probability of treatment at a tertiary care children's hospital (CH) by year. METHODS: We hypothesized that children ≤5 years old increasingly undergo care at tertiary care CHs for common inpatient surgeries or other procedures that require general anesthesia. Data from the California Office of Statewide Health Planning and Development dataset were used to determine procedure, patient age, year of procedure, and hospital name. Hospitals were designated as either tertiary care CHs, children's units within general hospitals (CUGHs), or general hospitals (GHs) based on the California Children's Services Provider List. A tertiary care CH was defined using the California Children's Services definition as a referral hospital that provides comprehensive, multidisciplinary, regionalized pediatric care to children from birth up to 21 years of age with a full range of medical and surgical care for severely ill children. We report the unadjusted percentage of patients treated at each hospital type and, after controlling for patient covariates and comorbidities, the estimated probability of undergoing care at a tertiary care CH from 2000 to 2016. RESULTS: There were 172,318 treatment episodes from 2000 to 2016. The estimated probability of undergoing care at a tertiary care CH increased from 63.4% (95% confidence interval [CI], 62.4%-64.4%) in 2000 to 78.3% (95% CI, 77.3%-79.4%) in 2016. CONCLUSIONS: Children ≤5 years old undergoing common inpatient procedures that require general anesthesia increasingly receive care at tertiary care CHs in California.

Pneumonia Prevention Strategies for Children With Neurologic Impairment.

BACKGROUND: Children with neurologic impairment (NI) face high risk of recurrent severe pneumonia, with prevention strategies of unknown effectiveness. We evaluated the comparative effectiveness of secondary prevention strategies for severe pneumonia in children with NI. METHODS: We included children enrolled in California Children's Services between July 1, 2009, and June 30, 2014, with NI and 1 pneumonia hospitalization. We examined associations between subsequent pneumonia hospitalization and expert-recommended prevention strategies: dental care, oral secretion management, gastric acid suppression, gastrostomy tube placement, chest physiotherapy, outpatient antibiotics before index hospitalization, and clinic visit before or after index hospitalization. We used a 1:2 propensity score matched model to adjust for covariates, including sociodemographics, medical complexity, and severity of index hospitalization. RESULTS: Among 3632 children with NI and index pneumonia hospitalization, 1362 (37.5%) had subsequent pneumonia hospitalization. Only dental care was associated with decreased risk of subsequent pneumonia hospitalization (adjusted odds ratio [aOR]: 0.64; 95% confidence interval [CI]: 0.49-0.85). Exposures associated with increased risk included gastrostomy tube placement (aOR: 2.15; 95% CI: 1.63-2.85), chest physiotherapy (aOR: 2.03; 95% CI: 1.29-3.20), outpatient antibiotics before hospitalization (aOR: 1.42; 95% CI: 1.06-1.92), clinic visit before (aOR: 1.30; 95% CI: 1.11-1.52), and after index hospitalization (aOR: 1.72; 95% CI: 1.35-2.20). CONCLUSIONS: Dental care was associated with decreased recurrence of severe pneumonia. Several strategies, including gastrostomy tube placement, were associated with increased recurrence, possibly due to unresolved confounding by indication. Our results support a clinical trial of dental care to prevent severe pneumonia in children with NI.

Disparities in Inpatient Intensity of End-of-Life Care for Complex Chronic Conditions.

BACKGROUND: Children with complex chronic conditions (CCCs) require a disproportionate share of health care services and have high mortality rates, but little is known about their end-of-life care. METHODS: We performed a retrospective population-based analysis using a California State administrative database of children aged 1 to 21 years with a CCC who died of disease-related causes between 2000 and 2013. Rates of and sociodemographic and clinical factors associated with previously defined inpatient end-of-life intensity indicators were determined. The intensity indicators included: (1) hospital death, (2) receipt of a medically intense intervention within 30 days of death (ICU admission, cardiopulmonary resuscitation, hemodialysis, and/or intubation), and (3) having ≥2 intensity markers (including hospital death). RESULTS: There were 8654 children in the study population with a mean death age of 11.8 years (SD 6.8). The 3 most common CCC categories were neuromuscular (47%), malignancy (43%), and cardiovascular (42%). Sixty-six percent of the children died in the hospital, 36% had a medically intense intervention in the last 30 days of life, and 35% had ≥2 intensity markers. Living in a low-income neighborhood was associated with increased odds of hospital death, a medically intense intervention, and ≥2 intensity markers. Hispanic and "other" race and/or ethnicity were associated with hospital death and ≥2 intensity markers. Age 15 to 21 years was associated with hospital death, a medically intense intervention, and ≥2 intensity markers. CONCLUSIONS: Sociodemographic disparities in the intensity of end-of-life care for children with CCCs raise concerns about whether all children are receiving high-quality and goal-concordant end-of-life care.

End-of-Life Care Intensity in Patients Undergoing Allogeneic Hematopoietic Cell Transplantation: A Population-Level Analysis.

PURPOSE: Intensity of end-of-life care receives much attention in oncology because of concerns that high-intensity care is inconsistent with patient goals, leads to worse caregiver outcomes, and is expensive. Little is known about such care in those undergoing allogeneic hematopoietic cell transplantation (HCT), a population at high risk for morbidity and mortality. PATIENTS AND METHODS: We conducted a population-based analysis of patients who died between 2000 and 2013, within 1 year of undergoing an inpatient allogeneic HCT using California administrative data. Previously validated markers of intensity were examined and included: hospital death, intensive care unit (ICU) admission, and procedures such as intubation and cardiopulmonary resuscitation at end of life. Multivariable logistic regression models determined clinical and sociodemographic factors associated with: hospital death, a medically intense intervention (ICU admission, cardiopulmonary resuscitation, hemodialysis, intubation), and ≥ two intensity markers. RESULTS: Of the 2,135 patients in the study population, 377 were pediatric patients (age ≤ 21 years), 461 were young adults (age 22 to 39 years), and 1,297 were adults (age ≥ 40 years). The most common intensity markers were: hospital death (83%), ICU admission (49%), and intubation (45%). Medical intensity varied according to age, underlying diagnosis, and presence of comorbidities at time of HCT. Patients with higher-intensity end-of-life care included patients age 15 to 21 years and 30 to 59 years, patients with acute lymphoblastic leukemia, and those with comorbidities at time of HCT. CONCLUSION: Patients dying within 1 year of inpatient allogeneic HCT are receiving medically intense end-of-life care with variations related to age, underlying diagnosis, and presence of comorbidities at time of HCT. Future studies need to determine if these patterns are consistent with patient and family goals.

Inpatient utilization and disparities: The last year of life of adolescent and young adult oncology patients in California.

BACKGROUND: Studies of adolescent and young adult (AYA) oncology end-of-life care utilization are critical because cancer is the leading cause of nonaccidental AYA death and end-of-life care contributes significantly to health care expenditures. This study was designed to determine the quantity of and disparities in inpatient utilization in the last year of life of AYAs with cancer. METHODS: The California Office of Statewide Health Planning and Development administrative discharge database, linked to death certificates, was used to perform a population-based analysis of cancer patients aged 15 to 39 years who died in 2000-2011. The number of hospital days and the inpatient costs were determined for each patient in the last year of his or her life, as were clinical and sociodemographic factors associated with high inpatient utilization. Admission patterns as death approached were also evaluated. RESULTS: The 12,883 patients were admitted for 40 days on average in the last year of life, and this cost $151,072 per patient in inpatient costs. As death approached, the admission rates and the percentage of all admissions occurring at nonspecialty centers increased. Five percent of patients used 20% of bed days in the last year (high utilizers). Factors associated with high utilization included younger age (15-30 years), Hispanic ethnicity, non-health maintenance organization insurance, and hematologic malignancies. CONCLUSIONS: AYA oncology decedents were admitted for 40 days in their last year of life. Subgroups with high utilization had distinct sociodemographic and clinical characteristics, and nonspecialty center admissions increased as death approached. This demonstrates the need for palliative care at nonspecialty centers. Future studies need to determine whether these patterns are goal-concurrent, include high utilizers, and monitor the effects of health care reform. Cancer 2018;124:1819-27. © 2018 American Cancer Society.

The Patient Protection and Affordable Care Act dependent coverage expansion: Disparities in impact among young adult oncology patients.

BACKGROUND: Private health insurance is associated with improved outcomes in patients with cancer. However, to the authors' knowledge, little is known regarding the impact of the Patient Protection and Affordable Care Act Dependent Coverage Expansion (ACA-DCE), which extended private insurance to young adults (to age 26 years) beginning in 2010, on the insurance status of young adults with cancer. METHODS: The current study was a retrospective, population-based analysis of hospitalized young adult oncology patients (aged 22-30 years) in California during 2006 through 2014 (11,062 patients). Multivariable regression analyses examined factors associated with having private insurance. Results were presented as adjusted odds ratios and 95% confidence intervals. A difference-in-difference analysis examined the influence of the ACA-DCE on insurance coverage by race/ethnicity and federal poverty level. RESULTS: Multivariable regression demonstrated that patients of black and Hispanic race/ethnicity were less likely to have private insurance before and after the ACA-DCE, compared with white patients. Younger age (22-25 years) was associated with having private insurance after implementation of the ACA-DCE (odds ratio, 1.20; 95% confidence interval, 1.06-1.35). In the difference-in-difference analysis, private insurance increased among white patients aged 22 to 25 years who were living in medium-income (2006-2009: 64.6% vs 2011-2014: 69.1%; P = .003) and high-income (80.4% vs 82%; P = .043) zip codes and among Asians aged 22 to 25 years living in high-income zip codes (73.2 vs 85.7%; P = .022). Private insurance decreased for all Hispanic patients aged 22 to 25 years between the 2 time periods. CONCLUSIONS: The ACA-DCE provision increased insurance coverage, but not among all patients. Private insurance increased for white and Asian patients in higher income neighborhoods, potentially widening social disparities in private insurance coverage among young adults with cancer. Cancer 2018;124:110-7. © 2017 American Cancer Society.

Disparities in the Intensity of End-of-Life Care for Children With Cancer.

BACKGROUND: Many adult patients with cancer who know they are dying choose less intense care; additionally, high-intensity care is associated with worse caregiver outcomes. Little is known about intensity of end-of-life care in children with cancer. METHODS: By using the California Office of Statewide Health Planning and Development administrative database, we performed a population-based analysis of patients with cancer aged 0 to 21 who died between 2000 and 2011. Rates of and sociodemographic and clinical factors associated with previously-defined end-of-life intensity indicators were determined. The intensity indicators included an intense medical intervention (cardiopulmonary resuscitation, intubation, ICU admission, or hemodialysis) within 30 days of death, intravenous chemotherapy within 14 days of death, and hospital death. RESULTS: The 3732 patients were 34% non-Hispanic white, and 41% had hematologic malignancies. The most prevalent intensity indicators were hospital death (63%) and ICU admission (20%). Sixty-five percent had ≥1 intensity indicator, 23% ≥2, and 22% ≥1 intense medical intervention. There was a bimodal association between age and intensity: ages <5 years and 15 to 21 years was associated with intense care. Patients with hematologic malignancies were more likely to have high-intensity end-of-life care, as were patients from underrepresented minorities, those who lived closer to the hospital, those who received care at a nonspecialty center (neither Children's Oncology Group nor National Cancer Institute Designated Cancer Center), and those receiving care after 2008. CONCLUSIONS: Nearly two-thirds of children who died of cancer experienced intense end-of-life care. Further research needs to determine if these rates and disparities are consistent with patient and/or family goals.

End-of-Life Intensity for Adolescents and Young Adults With Cancer: A Californian Population-Based Study That Shows Disparities.

PURPOSE: Cancer is the leading cause of nonaccidental death among adolescents and young adults (AYAs). High-intensity end-of-life care is expensive and may not be consistent with patient goals. However, the intensity of end-of-life care for AYA decedents with cancer-especially the effect of care received at specialty versus nonspecialty centers-remains understudied. METHODS: We conducted a retrospective, population-based analysis with the California administrative discharge database that is linked to death certificates. The cohort included Californians age 15 to 39 years who died between 2000 and 2011 with cancer. Intense end-of-life interventions included readmission, admission to an intensive care unit, intubation in the last month of life, and in-hospital death. Specialty centers were defined as Children's Oncology Group centers and National Cancer Institute-designated comprehensive cancer centers. RESULTS: Of the 12,938 AYA cancer decedents, 59% received at least one intense end-of-life care intervention, and 30% received two or more. Patients treated at nonspecialty centers were more likely than those at specialty-care centers to receive two or more intense interventions (odds ratio [OR], 1.46; 95% CI, 1.32 to 1.62). Sociodemographic and clinical factors associated with two or more intense interventions included minority race/ethnicity (Black [OR, 1.35, 95% CI, 1.17 to 1.56]; Hispanic [OR, 1.24; 95% CI, 1.12 to 1.36]; non-Hispanic white: reference), younger age (15 to 21 years [OR, 1.36; 95% CI, 1.19 to 1.56; 22 to 29 years [OR,1.26; 95% CI,1.14 to 1.39]; ≥ 30 years: reference), and hematologic malignancies (OR, 1.53; 95% CI, 1.41 to 1.66; solid tumors: reference). CONCLUSION: Thirty percent of AYA cancer decedents received two or more high-intensity end-of-life interventions. In addition to sociodemographic and clinical characteristics, hospitalization in a nonspecialty center was associated with high-intensity end-of-life care. Additional research is needed to determine if these disparities are consistent with patient preference.

Disparities in location of death of adolescents and young adults with cancer: A longitudinal, population study in California.

BACKGROUND: Patients with a terminal illness should have access to their chosen location of death. Cancer is the leading cause of non-accidental death among adolescents and young adults (AYAs; those aged 15-39 years). Although surveys have suggested that a majority of these patients prefer a home death, to the authors' knowledge, little is known regarding their barriers to accessing their preferred location of death. As a first step, the authors sought to determine, across a large population, 20-year trends in the location of death among AYA patients with cancer. METHODS: Using the Vital Statistics Death Certificate Database of the California Office of Statewide Health Planning and Development, the authors performed a retrospective, population-based analysis of California patients with cancer aged 15 to 39 years who died between 1989 and 2011. Sociodemographic and clinical factors associated with hospital death were examined using multivariable logistic regression. RESULTS: Of 30,573 AYA oncology decedents, 57% died in a hospital, 33% died at home, and 10% died in other locations (eg, hospice facility or nursing facility). Between 1989 and 1994, hospital death rates decreased from 68.3% to 53.6% and at-home death rates increased from 16.8% to 35.5%. Between 1995 and 2011, these rates were stable. Those individuals who were more likely to die in a hospital were those aged <30 years, of minority race, of Hispanic ethnicity, who lived ≤10 miles from a specialty center, and who had a diagnosis of leukemia or lymphoma. CONCLUSIONS: Overall, the majority of AYA cancer deaths occurred in a hospital, with a 5-year shift to more in-home deaths that abated after 1995. In-hospital deaths were more common among younger patients, patients of minority race/ethnicities, and those with a leukemia or lymphoma diagnosis. Further study is needed to determine whether these rates and disparities are consistent with patient preferences. Cancer 2017;123:4178-4184. © 2017 American Cancer Society.

Adolescent and young adult oncology patients: Disparities in access to specialized cancer centers.

BACKGROUND: Adolescents and young adults (AYAs) ages 15 to 39 years with cancer continue to experience disparate survival outcomes compared with their younger and older counterparts. This may be caused in part by differential access to specialized cancer centers (SCCs), because treatment at SCCs has been associated with improved overall survival. The authors examined social and clinical factors associated with AYA use of SCCs (defined as Children's Oncology Group-designated or National Cancer Institute-designated centers). METHODS: A retrospective, population-based analysis was performed on all hospital admissions of AYA oncology patients in California during 1991 through 2014 (n = 127,250) using the Office of Statewide Health Planning and Development database. Multivariable logistic regression analyses examined the contribution of social and clinical factors on always receiving care from an SCC (vs sometimes or never). Results are presented as adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Over the past 20 years, the percentage of patients always receiving inpatient care at an SCC increased over time (from 27% in 1991 to 43% in 2014). In multivariable regression analyses, AYA patients were less likely to always receive care from an SCC if they had public insurance (OR, 0.64; 95% CI, 0.62-0.66), were uninsured (OR, 0.51; 95% CI, 0.46-0.56), were Hispanic (OR, 0.88; 95% CI, 0.85-0.91), lived > 5 miles from an SCC, or had a diagnosis other than leukemia and central nervous system tumors. CONCLUSIONS: Receiving care at an SCC was influenced by insurance, race/ethnicity, geography, and tumor type. Identifying the barriers associated with decreased SCC use is an important first step toward improving outcomes in AYA oncology patients. Cancer 2017;123:2516-23. © 2017 American Cancer Society.

Pediatric Oncology Discharges With Febrile Neutropenia: Variation in Location of Care.

We examined the use of Pediatric Cancer Specialty Centers (PCSCs) over time and the length of stay (LOS) in pediatric oncology patients with a diagnosis of febrile neutropenia. PCSCs were defined as Children's Oncology Group and California Children's Services designated centers. We performed a retrospective analysis on all discharges of pediatric (0 to 18) oncology patients with febrile neutropenia in California (1983 to 2011) using the private Office of Statewide Health Planning and Development database. We examined influence of age, sex, race/ethnicity, payer, income, distance, tumor type, and complications on utilization of PCSCs and LOS (SAS 9.2). Analysis of 24,559 pediatric oncology febrile neutropenia discharges showed hospitalizations in PCSCs increasing from 48% in 1983 to 94% in 2011. The adjusted regression analysis showed decreased PCSC utilization for ages 15 to 18, Hispanic patients, and those living >40 miles away. The median PCSC LOS was 9 days compared with 7 days at a non-PCSC (P<0.0001). Discharge from a PCSC was associated with a LOS >8 days after controlling for complications. Inpatient PCSC care for febrile neutropenia in California has increased since 1983. Receiving care at a PCSC is influenced by age, tumor type, ethnicity, geography, and complications.