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

IntroductionDespite 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/methodsThis 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.ResultsNew 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.ConclusionPediatric 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

Inequality in treatment use among elderly patients with acute myocardial infarction: USA, Belgium and Quebec

<p>Abstract</p> <p>Background</p> <p>Previous research has provided evidence that socioeconomic status has an impact on invasive treatments use after acute myocardial infarction. In this paper, we compare the socioeconomic inequality in the use of high-technology diagnosis and treatment after acute myocardial infarction between the US, Quebec and Belgium paying special attention to financial incentives and regulations as explanatory factors.</p> <p>Methods</p> <p>We examined hospital-discharge abstracts for all patients older than 65 who were admitted to hospitals during the 1993–1998 period in the US, Quebec and Belgium with a primary diagnosis of acute myocardial infarction. Patients' income data were imputed from the median incomes of their residential area. For each country, we compared the risk-adjusted probability of undergoing each procedure between socioeconomic categories measured by the patient's area median income.</p> <p>Results</p> <p>Our findings indicate that income-related inequality exists in the use of high-technology treatment and diagnosis techniques that is not justified by differences in patients' health characteristics. Those inequalities are largely explained, in the US and Quebec, by inequalities in distances to hospitals with on-site cardiac facilities. However, in both Belgium and the US, inequalities persist among patients admitted to hospitals with on-site cardiac facilities, rejecting the hospital location effect as the single explanation for inequalities. Meanwhile, inequality levels diverge across countries (higher in the US and in Belgium, extremely low in Quebec).</p> <p>Conclusion</p> <p>The findings support the hypothesis that income-related inequality in treatment for AMI exists and is likely to be affected by a country's system of health care.</p

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 &lt;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 Childrens 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

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

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

Chemotherapy use among Medicare beneficiaries at the end of life

BACKGROUND: Although many observers believe that cancer chemotherapy is overused at the end of life, there are no published data on this. OBJECTIVE: To determine the frequency and duration of chemotherapy use in the last 6 months of life stratified by type of cancer, age, and sex. DESIGN: Retrospective cohort analysis. SETTING: Administrative databases from Massachusetts and California. PATIENTS: All Medicare patients who died of cancer in Massachusetts and 5% of Medicare cancer decedents in California in 1996. MEASUREMENTS: Use of intravenous chemotherapy agents, chemotherapy administration, or medical evaluation for chemotherapy from Medicare billing data for each patient in 30-day periods from the date of death backward. RESULTS: In Massachusetts, 33% of cancer decedents older than 65 years of age received chemotherapy in the last 6 months of life, 23% in the last 3 months, and 9% in the last month. In California, the percentages were 26%, 20%, and 9%, respectively. Chemotherapy use greatly declined with age. Chemotherapy use was similar for patients with breast, colon, and ovarian cancer and those with cancer generally considered unresponsive to chemotherapy, such as pancreatic, hepatocellular, or renal-cell cancer or melanoma. Patients with types of cancer that are unresponsive to chemotherapy had shorter duration of chemotherapy use. CONCLUSION: Among patients who died of cancer, chemotherapy was used frequently in the last 3 months of life. The cancer\u27s responsiveness to chemotherapy does not seem to influence whether dying patients receive chemotherapy at the end of life

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

BackgroundAdolescents 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).MethodsA 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).ResultsOver 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 &gt; 5 miles from an SCC, or had a diagnosis other than leukemia and central nervous system tumors.ConclusionsReceiving 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

The Affordable Care Act Dependent Coverage Expansion (ACA-DCE): Disparities in impact in young adult oncology patients.

6561 Background: Private health insurance is associated with improved outcomes in cancer patients. We know little, however, about the impact of the ACA-DCE, which extended private insurance to young adults (up to age 26) beginning in 2010, on the insurance status of young adults with cancer. This study sought to determine the effect of the ACA-DCE on having private insurance coverage among hospitalized young adult oncology patients. Methods: We performed a retrospective, population-based analysis of hospitalized young adult oncology patients (22-30 years-old) in California during 2006-2014 (n = 11,062) using the Office of Statewide Health Planning and Development database. Multivariable regression analyses examined the social and clinical predictors of having private insurance. Results are presented as adjusted odds ratios (OR) and 95% confidence intervals (CIs). A difference-in-difference analysis examined the influence of the ACA-DCE on insurance coverage by race/ethnicity and zip code federal poverty level. Results: Multivariable regression demonstrated patients of black and Hispanic race/ethnicity were less likely to have private insurance both before and after the ACA-DCE, compared to non-Hispanic white patients. Younger age (22-25 years) was associated with having private insurance after the ACA-DCE implementation (OR 1.18, CI 1.05-1.33; reference, 27-30 years). In the difference-in-difference analysis, private insurance increased among non-Hispanic whites aged 22-25 living in medium- (2006-2009: 64.6% versus (vs) 2011-2014: 69.1%; p = 0.003) and high-income zip codes (80.4% vs 82%; p = 0.043) and among Asian patients aged 22-25 living in high-income zip codes (73.2 vs 85.7%; p = 0.022). Private insurance decreased for all Hispanic patients aged 22-25 between the two time periods. Conclusions: The ACA-DCE provision was an important first step in increasing coverage, but it was not universal and generated disparity in coverage as gains occurred for non-Hispanic white and Asian patients living in higher income zip codes. This policy change was shown to increase coverage for a traditionally underinsured population and attention should now focus on those remaining uninsured