Does universal insurance influence disparities in high-quality hospital use for inpatient pediatric congenital heart defect care within the first year of diagnosis?

BACKGROUND: Healthcare disparities are an issue in the management of Congenital Heart Defects (CHD) in children. Although universal insurance may mitigate racial or socioeconomic status (SES) disparities in CHD care, prior studies have not examined these effects in the use of High-Quality Hospitals (HQH) for inpatient pediatric CHD care in the Military Healthcare System (MHS). To assess for racial and SES disparities in inpatient pediatric CHD care that may persist despite universal insurance coverage, we performed a cross-sectional study of the HQH use for children treated for CHD in the TRICARE system, a universal healthcare system for the U.S. Department of Defense. In the present work we evaluated for the presence of disparities, like those seen in the civilian U.S. healthcare system, among military ranks (SES surrogate) and races and ethnicities in HQH use for pediatric inpatient admissions for CHD care within a universal healthcare system (MHS). METHODS: We conducted a cross-sectional study using claims data from the U.S. MHS Data Repository from 2016 to 2020. We identified 11,748 beneficiaries aged 0 to 17 years who had an inpatient admission for CHD care from 2016 to 2020. The outcome variable was a dichotomous indicator for HQH utilization. In the sample, 42 hospitals were designated as HQH. Of the population, 82.9% did not use an HQH at any point for CHD care and 17.1% used an HQH at some point for CHD care. The primary predictor variables were race and sponsor rank. Military rank has been used as an indicator of SES status. Patient demographic information at the time of index admission post initial CHD diagnosis (age, gender, sponsor marital status, insurance type, sponsor service branch, proximity to HQH based on patient zip code centroid, and provider region) and clinical information (complexity of CHD, common comorbid conditions, genetic syndromes, and prematurity) were used as covariates in multivariable logistic regression analysis. RESULTS: After controlling for demographic and clinical factors including age, gender, sponsor marital status, insurance type, sponsor service branch, proximity to HQH based on patient zip code centroid, provider region, complexity of CHD, common comorbid conditions, genetic syndromes, and prematurity, we did not find disparities in HQH use for inpatient pediatric CHD care based upon military rank. After controlling for demographic and clinical factors, lower SES (Other rank) was less likely to use an HQH for inpatient pediatric CHD care; OR of 0.47 (95% CI of 0.31 to 0.73). CONCLUSIONS: We found that for inpatient pediatric CHD care in the universally insured TRICARE system, historically reported racial disparities in care were mitigated, suggesting that this population benefitted from expanded access to care. Despite universal coverage, SES disparities persisted in the civilian care setting, suggesting that universal insurance alone cannot sufficiently address differences in SES disparities in CHD care. Future studies are needed to address the pervasiveness of SES disparities and potential interventions to mitigate these disparities such as a more comprehensive patient travel program.

Relationships between enabling services use and access to care among adults with cardiometabolic risk factors: findings from the 2014 National Health Center Patient Survey.

BACKGROUND: Community health centers (CHCs) provide comprehensive primary and preventive care to medically underserved, low-income, and racially/ethnically diverse populations. CHCs also offer enabling services, non-clinical assistance to reduce barriers to healthcare due to unmet social and material needs, to improve access to healthcare and reduce health disparities. For patients with modifiable cardiometabolic risk factors, including obesity, hypertension, and diabetes, enabling services may provide additional support to improve disease management. However, little is known about the relationship between enabling services and healthcare accessibility and utilization among patients with cardiometabolic risk factors. METHODS: This study uses data from the 2014 Health Center Patient Survey to examine the relationship between enabling services use and delayed/foregone care, routine check-ups, and emergency room visits, among adult community health center patients in the United States with cardiometabolic risk factors (N = 2358). Outcomes of enabling services users were compared to nonusers using doubly robust propensity score matching methods and generalized linear regression models. RESULTS: Overall, enabling service users were 15.4 percentage points less likely to report delayed/foregone care and 29.4 percentage points more likely to report routine check-ups than nonusers. Enabling service users who lived in urban areas, younger and middle-aged adults, and those with two cardiometabolic risk factors were also less likely to report delayed/foregone care and/or more likely to report routine check-ups in comparison with nonusers. However, among adults with three or more cardiometabolic risk factors, enabling services use was associated with a 41.3 percentage point increase in emergency room visits and a 7.6 percentage point decrease in routine check-ups. CONCLUSIONS: The findings highlight the value in utilizing enabling services to improve timeliness and receipt of care among CHC patients with heightened cardiometabolic risk. There is a need for targeting high-risk populations with additional enabling services to support management of multiple chronic conditions.

Maryland's Global Budget Revenue Program: Impact on Neonatal Intensive Care Unit Admissions and Infant Mortality.

BACKGROUND: In 2014, Maryland implemented the Global Budget Revenue (GBR) program to reduce unnecessary hospital utilization and contain spending. Little is known about its impact on pediatric health outcomes and high-cost services that are primarily financed by payers other than Medicare. OBJECTIVE: The aim was to examine the impact of the GBR program on neonatal intensive care unit (NICU) admission and infant mortality. RESEARCH DESIGN: We conducted a difference-in-differences analysis comparing changes of NICU admissions and infant mortality in Maryland with changes in 20 comparison states (including DC), before and after implementation of the GBR program. Effects were estimated for all infants and for risk groups defined by birthweight and gestation. SUBJECTS: A total of 11,965,997 newborns in Maryland and the comparison states was identified using US birth certificate data from 2011 to 2017. MEASURES: NICU admissions, the infant mortality rate, and the neonatal mortality rate. RESULTS: The GBR program was associated with a 1.26 percentage points (-16.8%, P=0.03) decline in NICU admissions over three full years of implementation. Reductions were driven by fewer admissions among moderately low to normal birthweight (1500-3999 g) and moderately preterm to term (32-41 wk) infants. The effects for very-low birthweight and very preterm infants were small and not statistically precise. There was no significant change in infant or neonatal mortality rates. CONCLUSIONS: Maryland's hospitals reacted to the GBR program by reducing NICU services for infants that did not have clear observed clinical need. Our results suggest that GBR constrained high-cost services, without adversely affecting infant mortality.

Disparities in Audio-only Telemedicine Use Among Medicare Beneficiaries During the Coronavirus Disease 2019 Pandemic.

BACKGROUND: Under emergency coronavirus disease 2019 pandemic regulations, Medicare granted temporary payment parity with in-person visits for audio-only (telephone) telemedicine visits. This policy was designed to expand telemedicine to patients without camera-equipped devices and broadband internet. However, audio-only telemedicine use has been substantial. OBJECTIVE: The aim of this study was to explore whether the rate of audio-only telemedicine during the pandemic is related to patient access to technology or provider behavior. DESIGN: Cross-sectional analysis of the Summer and Fall 2020 Medicare Current Beneficiary Survey coronavirus disease 2019 supplements, using multivariable logistic models and accounting for complex survey design. SUBJECTS: A total of 3375 participants in the summer survey and 2633 participants in the fall 2020 were offered a telemedicine visit to replace a scheduled in-person visit by their usual care provider. MEASURES: We compared beneficiaries who were exclusively offered audio-only telemedicine to beneficiaries who were offered video telemedicine or both audio and video. RESULTS: We found that among Medicare beneficiaries who were offered telemedicine to replace a scheduled in-person appointment, ~35% were exclusively offered audio-only. 65.8% of beneficiaries exclusively offered audio-only reported having a smartphone/tablet and home internet. After controlling for personal access to technology, Hispanic [adjusted odds ratio (AOR)=2.09, P<0.001], dually eligible (AOR=1.63, P=0.002), nonprimary English speaking (AOR=1.64, P<0.001), and nonmetro beneficiaries (AOR=1.71, P=0.003) were more likely to be offered audio-only during July-November 2020. CONCLUSIONS: These findings suggest audio-only telemedicine use during the pandemic is only partially related to patient access to technology. Policymakers must work to both expand programs that provide smartphones and broadband internet to disparity communities and telemedicine infrastructure to providers.

Evidence of the Linkage Between Hospital-based Care Coordination Strategies and Hospital Overall (Star) Ratings.

BACKGROUND: In the new era of value-based payment models and pay for performance, hospitals are in search of the silver bullet strategy or bundle of strategies capable of improving their performance on quality measures. OBJECTIVES: To determine whether there is an association between adoption of hospital-based care coordination strategies and Centers for Medicare and Medicaid Services overall hospital quality (star) ratings and readmission rates. RESEARCH DESIGN: We used survey data from the American Hospital Association (AHA) and categorized respondents by the number of care coordination strategies that they reported having widely implemented. We used multiple logistic regression models to examine the association between the number of strategies and hospital overall rating performance and disease-specific 30-day excess readmission ratios, while controlling for hospital and county characteristics and state-fixed effects. SUBJECTS: A total of 710 general acute care noncritical access hospitals that received star ratings and responded to the 2015 AHA Care Systems and Payment Survey. MEASURES: Centers for Medicare and Medicaid Services overall hospital ratings, 30-day excess readmission ratios. RESULTS: As compared with hospitals with 0-2 strategies, hospitals with 3 to 4 strategies (P=0.007), 5-7 strategies (P=0.002), or 8-12 strategies (P=0.002) had approximately 2.5× the odds of receiving a top rating (4 or 5 stars). Care coordination strategies were positively associated with lower 30-day readmission ratios for patients with chronic medical conditions, but not for surgical patients. Medication reconciliation, visit summaries, outreach after discharge, discharge care plans, and disease management programs were each individually associated with top ratings. CONCLUSIONS: Care coordination strategies are associated with high overall hospital ratings.

Neonatal Intensive Care Variation in Medicaid-Insured Newborns: A Population-Based Study.

OBJECTIVE: To assess the contribution of maternal and newborn characteristics to variation in neonatal intensive care use across regions and hospitals. STUDY DESIGN: This was a retrospective population-based live birth cohort of newborn infants insured by Texas Medicaid in 2010-2014 with 2 subcohorts: very low birth weight (VLBW) singletons and late preterm singletons. Crude and risk-adjusted neonatal intensive care unit (NICU) admission rates, intensive and intermediate special care days, and imaging procedures were calculated across Neonatal Intensive Care Regions (n = 21) and hospitals (n = 100). Total Medicaid payments were calculated. RESULTS: Overall, 11.5% of live born, 91.7% of VLBW, and 37.6% of infants born late preterm were admitted to a NICU, receiving an average of 2 days, 58 days, and 5 days of special care with payments per newborn inpatient episode of $5231, $128 075, and $10 837, respectively. There was little variation across regions and hospitals in VLBW NICU admissions but marked variation for NICU admissions in late preterm newborn infants and for special care days and imaging rates in all cohorts. The variation decreased slightly after health risk adjustment. There was moderate substitution of intermediate for intensive care days across hospitals (Pearson r VLBW -0.63 P < .001; late preterm newborn -0.53 P < .001). CONCLUSIONS: Across all risk groups, the variation in NICU use was poorly explained by differences in newborn illness levels and is likely to indicate varying practice styles. Although the "right" rates are uncertain, it is unlikely that all of these use patterns represent effective and efficient care.

Role of Prices, Utilization, and Health in Explaining Texas Medicaid Newborn Care Spending Variation.

BACKGROUND: Newborn care is one of the most frequent types of hospitalization and Medicaid covers over 50% of all births nationwide. However, little is known about regional variation in Medicaid newborn care spending and its drivers. OBJECTIVES: To measure the contribution of market-level prices, utilization, and health risk on regional variation in spending among newborn Medicaid population in Texas. RESEARCH DESIGN AND METHODS: The study used 2014 Texas Medicaid newborn claims and encounters linked to birth and death certificate data. Newborn care spending was defined as Medicaid payments per newborn hospital stay, including hospital transfers, from birth through discharge home or death. Spending was further categorized into inpatient facility and related professional spending. Variation in spending across neonatal intensive care regions was decomposed into price and utilization, accounting for input price and health risk differences. RESULTS: Newborn care spending across Texas regions varied significantly (coefficient of variation, 0.31), with most of the variation attributed to spending on inpatient facility services (91%). Both price (41%) and utilization (27%) played a role in explaining this variation, after adjusting for health status (29%) and input price (4%). Though most regions with the highest spending indexes had high price and utilization indexes, some had high spending driven mostly by high prices and others by high utilization. CONCLUSIONS: Significant regional variations in price, utilization, and health status exist in Medicaid newborn care across Texas in 2014. Disentangling the effect of each driver is important to address spending variation and improve efficiency in newborn care.

Association between financial burden and adjuvant hormonal therapy adherence and persistent use for privately insured women aged 18-64 years in BCBS of Texas.

PURPOSE: The objective of this study is to understand an impact of financial burden on the adjuvant hormonal therapy (AHT) adherence and persistence for insured women aged 18-64 with early breast cancer in Texas. METHODS: We conducted a retrospective cohort study using claims data for population insured by Blue Cross Blue Shield of Texas from the year 2008 to 2013. Outcomes include adherence to adjuvant hormonal therapy, which was measured by medication possession ratio and persistence on AHT, which is the duration of time from initiation to discontinuation of therapy. Multivariate logistic regression models with repeated regional-level adjustments were used to explore the odds of AHT adherence. Cox proportional hazards model was conducted to assess time to the first 90+-day gap for persistence and a Kaplan-Meier curve were used to estimate probabilities to calculate the percentages of women who experienced 90+-day gaps in AHT. RESULTS: Of the 938 women in the cohort, 627 (66.8%) initiated the treatment. By year 1, 66.9% of women were adherent to the therapy, and by year 5, only 29% of those were adherent. The percentage of women with no gap in therapy greater than 90 days was 80.8%. Both higher out-of-pocket costs spent on all prescription drugs except AHT and AHT-specific out-of-pocket costs were negatively associated with adherence to AHT as well as continuing AHT as recommended. CONCLUSIONS: Financial burdens including both non-AHT medication and AHT-specific out-of-pocket costs were significantly associated with adherence and persistence to the therapy.

Examining Drivers of Health Care Spending: Evidence on Self-referral Among a Privately Insured Population.

BACKGROUND: Despite the enactment of laws to restrict the practice of self-referral, exceptions in these prohibitions have enabled these arrangements to persist and proliferate. Most research documenting the effects of self-referral arrangements analyzed claims records from Medicare beneficiaries. Empirical evidence documenting the effects of self-referral on use of services and spending incurred by persons with private insurance is sparse. OBJECTIVES: We analyzed health insurance claims records from a large private insurer in Texas to evaluate the effects of physician self-referral arrangements involving physical therapy on the treatment of patients with frozen shoulder syndrome, elbow tendinopathy or tendinitis, and patellofemoral pain syndrome. STUDY DESIGN: We used regression analysis to evaluate the effects of episode self-referral status on: (1) initiation of physical therapy; (2) physical therapy visits and services for those who had at least 1 visit; and (3) total condition-related insurer allowed amounts per episode. RESULTS: For all 3 conditions, we found that patients treated by physician owners were much more likely to be referred for a course of physical therapy when compared with patients seen by physician nonowners. A consistent pattern emerged among patients who had at least 1 physical therapy visit; non-self-referred episodes included more physical therapy visits, and more physical therapy services per episode in comparison with episodes classified as self-referral. Most self-referred episodes were short and the initial visit did not include an evaluation. CONCLUSION: Physician owners of physical therapy services refer significantly higher percentages of patients to physical therapy and many are equivocal cases.

Migrant integration policies and health inequalities in Europe.

BACKGROUND: Research on socio-economic determinants of migrant health inequalities has produced a large body of evidence. There is lack of evidence on the influence of structural factors on lives of fragile groups, frequently exposed to health inequalities. The role of poor socio-economic status and country level structural factors, such as migrant integration policies, in explaining migrant health inequalities is unclear. The objective of this paper is to examine the role of migrant socio-economic status and the impact of migrant integration policies on health inequalities during the recent economic crisis in Europe. METHODS: Using the 2012 wave of Eurostat EU-SILC data for a set of 23 European countries, we estimate multilevel mixed-effects ordered logit models for self-assessed poor health (SAH) and self-reported limiting long-standing illnesses (LLS), and multilevel mixed-effects logit models for self-reported chronic illness (SC). We estimate two-level models with individuals nested within countries, allowing for both individual socio-economic determinants of health and country-level characteristics (healthy life years expectancy, proportion of health care expenditure over the GDP, and problems in migrant integration policies, derived from the Migrant Integration Policy Index (MIPEX). RESULTS: Being a non-European citizen or born outside Europe does not increase the odds of reporting poor health conditions, in accordance with the "healthy migrant effect". However, the country context in terms of problems in migrant integration policies influences negatively all of the three measures of health (self-reported health status, limiting long-standing illnesses, and self-reported chronic illness) in foreign people living in European countries, and partially offsets the "healthy migrant effect". CONCLUSIONS: Policies for migrant integration can reduce migrant health disparities.

Future expenditure risk of silent members: a statistical analysis.

BACKGROUND: Silent-members are members of a medical health plan who submit no claims for healthcare services in a benefit year despite 12 months of continuous-enrollment. This study was conducted to evaluate the future expenditure risk of commercial-insured members who avoid all medical care despite coverage. In order to determine if the silent-members were at greater risk, we compared them to members who received care in the anchor year (2009) but had low-expenditures. The low-expenditure members were assumed to represent persons without significant medical conditions and without care-avoidance behaviors. We examined the claims experience of a cohort of silent members in the 2 years after the silent year (2009) and compared it with the corresponding claims experience for a cohort of low-expenditure members from the same anchor year (2009). METHODS: Members of commercial health plans (BCBS of Texas) were selected based on continuous-enrollment in 2009. Two sub-groups were identified based on annual claims expenditure: Care avoiders were members with 12 months continuous-enrollment and no medical claims, and are thus referred to as "silent members" in the insurance industry. Low-Expenditure members were those with 12 months continuous-enrollment and total PMPY (per member per year) annual medical claims expenditure in the lowest 10th percentile of members with claims experience. "Low-expenditure" members served as a comparison group to the "silent members", under the assumption that such claimants were using benefits for minor healthcare issues as needed. Key variables were enrollment and expenditures. Enrollment data identified demographics and continuous-enrollment. Medical claims data were used to calculate utilization and expenditures. All claims data were de-identified and no consent was required, as approved by the Institutional Review Board. No research involved human subjects. Multivariate logistic regression models were applied. RESULTS: Silent members who seek care in subsequent years have a greater probability of becoming high-expenditure claimants than those with low-expenditure experience. CONCLUSIONS: For silent members who subsequently seek treatment, the probability of becoming high-expenditure is significantly greater than low-expenditure members from the anchor year. The implications of future high costs for silent members who become claimants may support the need for additional research to address the risks of care avoidance behaviors.

Effect of Public Reporting on MR Imaging Use for Low Back Pain.

PURPOSE: To determine whether magnetic resonance (MR) imaging examination rates for low back pain before conservative therapy in the Medicare and privately insured populations changed after introduction of a Centers for Medicare & Medicaid Services public reporting initiative. MATERIALS AND METHODS: Institutional review board approval was obtained, with waiver of informed consent. A retrospective study was performed by using fee-for-service claims data from Medicare and a commercial carrier (Blue Cross Blue Shield of Texas [BCBSTX]) for Texas enrollees. OP-8 was calculated, which is a publicly reported measure as of 2009 of the proportion of MR imaging examinations performed for low back pain without history of conservative therapy. For 330 463 MR imaging examinations, OP-8 rates, trends, and regional variation were analyzed for 2008-2011 within different outpatient settings-outpatient hospital department (OHD) and nonhospital outpatient department (NOD)-according to payer. Largest-volume hospitals were also evaluated within the Medicare population. RESULTS: No significant reduction was found in annual OP-8 values for Medicare or BCBSTX (Medicare OHD, 0.35 for 2008 vs 0.36 for 2009 [P = .01]; BCBSTX OHD, 0.42 for 2008 vs 0.44 for 2009 [P = .03]; Medicare NOD, 0.33 for 2008 vs 0.35 for 2009 [P < .0001]; and BCBSTX NOD, 0.43 for 2008 vs 0.42 for 2009[P = .23]). These changes were not sustained during subsequent years in the BCBSTX population, and there were no further changes in Medicare rates. Among hospitals with highest Medicare volumes, those with the highest OP-8 rates in 2008 were associated with the highest decrease in their measure. (The annual change rate was negative for all years, with 2008 as the reference [P < .0001 for 2009-2011].) Hospitals with the lowest OP-8 rates had increases in OP-8 rates, which persisted in following years (P = .006 for 2009, P = .037 for 2010, and P = .004 for 2011). Hospitals with baseline OP-8 rates in the 25th-75th percentile remained relatively steady over time. CONCLUSION: No evidence was found that public reporting (OP-8) reduced MR imaging rates for low back pain without conservative therapy in either Medicare or commercially insured populations in hospital or nonhospital settings.

Family structure and multiple domains of child well-being in the United States: a cross-sectional study.

BACKGROUND: We examine the association between family structure and children's health care utilization, barriers to health care access, health, and schooling and cognitive outcomes and assess whether socioeconomic status (SES) accounts for those family structure differences. We advance prior research by focusing on understudied but increasingly common family structures including single father families and five different family structures that include grandparents. METHODS: Our data on United States children aged birth through 17 (unweighted N = 198,864) come from the 1997-2013 waves of the National Health Interview Survey, a nationally representative, publicly available, household-based sample. We examine 17 outcomes across nine family structures, including married couple, cohabiting couple, single mother, and single father families, with and without grandparents, and skipped-generation families that include children and grandparents but not parents. The SES measures include family income, home ownership, and parents' or grandparents' (depending on who is in the household) employment and education. RESULTS: Compared to children living with married couples, children in single mother, extended single mother, and cohabiting couple families average poorer outcomes, but children in single father families sometimes average better health outcomes. The presence of grandparents in single parent, cohabiting, or married couple families does not buffer children from adverse outcomes. SES only partially explains family structure disparities in children's well-being. CONCLUSIONS: All non-married couple family structures are associated with some adverse outcomes among children, but the degree of disadvantage varies across family structures. Efforts to understand and improve child well-being might be most effective if they recognize the increasing diversity in children's living arrangements.

Longitudinal Analysis of Opioid Analgesic Dose and Diabetes Quality of Care Measures.

OBJECTIVE: To examine associations of opioid analgesic dose with quality of care for diabetes mellitus. DESIGN: Longitudinal statewide cohort. SUBJECTS: Subjects with diabetes filled one or more prescriptions for Schedule II/III opioids for noncancer pain in Blue Cross Blue Shield of Texas from 2008 through 2012. METHODS: Opioid dose and outcomes were assessed in 6-month intervals after first filled prescription. Two morphine equivalent dose measures were daily dose and quartiles of total dose from all filled prescriptions. In fixed effects models adjusted for clinical and treatment variables, associations of opioid measures were examined for five outcomes: hemoglobin A1c (HbA1c) test, low density lipoprotein cholesterol (LDL) test, any hospitalization, any diabetes-related preventable hospitalization, and any emergency department (ED) visit. RESULTS: All daily and total opioid doses were associated (P < 0.05) with poorer outcomes for all five measures. For HbA1c testing, adjusted odds ratios (AORs) were reduced by 19% for high daily dose (≥100 mg) and highest quartile total dose (>900 mg), respectively, vs no opioids but >900 mg total dose had the lowest AOR for LDL testing (0.74 [CI 0.68, 0.80]). The AORs of any hospitalization or diabetes-related hospitalization were, respectively, 8.19 (CI 7.21, 9.30) and 2.76 (CI 2.19, 3.48) for >900 mg total dose but only 6.22 (CI 4.94, 7.83) and 2.16 (CI 1.34, 3.48) for >100 mg daily dose. Both opioid measures had nonmonotonic associations with ED use. CONCLUSIONS: Daily opioid dose but especially total dose of opioids was strongly associated with poorer diabetes quality of care in a statewide cohort.

Revisiting the economic efficiencies of observation units.

BACKGROUND: Recent studies cast doubt about the economic efficiency of observation units (OUs). OBJECTIVE: We aimed to reexamine the cost savings of OUs compared with inpatient care. METHODS: Claims for 15,851 patients who were admitted to inpatient or OUs between January 2009 and December 2012 following emergency room (ER) visits for chest pain were retrospectively examined. The two groups were compared for total cost of episode, length of stay (LOS), and utilization rates of diagnostic procedures, including standard exercise and echocardiography stress tests, myocardial perfusion imaging (MPI), coronary computed tomography angiography (CCTA), and computed tomography (CT) chest scans. Total costs of care and LOS were adjusted for age, gender, risk scores, and comorbidities using quantile regression. RESULTS: More than 37% of the sample was admitted to inpatient units (n = 5,890) vs 62.7% to OUs (n = 9,961). Patients admitted to inpatient units had more comorbidities and longer LOS during their ER visit (median 1.5 adjusted days; 10th percentile = 1, 90th percentile = 3) vs. median 21 adjusted hours for OUs (20, 23). The adjusted median cost of OUs was $5,411 ($4,652, $7,157) vs. $6,946 for inpatient admission ($5,978, $18,683). The estimated adjusted cost saving of OUs was $1,535 (95% CI = $1,206, $1,411) compared with inpatient admission. About 37% of patients admitted to OUs stayed longer than 24 hours. Compared with patients admitted to inpatient units, patients in OUs also received more MPI (35.8% vs. 31.5%), CT scans (13.2% vs. 10.4%), standard exercise test (45.6% vs. 33.8%) and echocardiography stress test (8% vs. 3.4%). CONCLUSION: Despite the increased proportion of patients exceeding the 24-hour LOS and the increased utilization of advanced imaging procedures, OUs are still less costly compared with inpatient admission.

The economic burden of pneumonia and meningitis among children less than five years old in Hanoi, Vietnam.

OBJECTIVE: To estimate the average treatment costs of pneumonia and meningitis among children under five years of age in a tertiary hospital in Hanoi, Vietnam from societal, health sector and household perspectives. METHODS: We used a cost-of-illness approach to identify cost categories to be included for different perspectives. A prospective survey was conducted among eligible patients to get detailed personal costing items. RESULTS: From the perspective of the health sector, the mean costs for treating a case of pneumonia and meningitis were USD 180 and USD 300, respectively. From the household's perspective, the average treatment costs were USD 272 for pneumonia and USD 534 for meningitis. When also including indirect costs, the average total treatment costs from the societal perspective were USD 318 for pneumonia and USD 727 for meningitis. CONCLUSION: The study contributed to limited evidence on the high treatment costs of pneumonia and meningitis to the Vietnamese society, which is useful for a cost-effectiveness analysis of Haemophilus influenzae type b vaccine or other relevant disease preventions. It also indicated a need to re-evaluate the health insurance policy for children under 6 years old, so that the unnecessarily high out-of-pocket costs of these diseases are reduced.

Serious postoperative infections following resection of common solid tumors: outcomes, costs, and impact of hospital surgical volume.

PURPOSE: Unlike infections related to chemotherapy-induced neutropenia, postoperative infections occurring in patients with solid malignancy remain largely understudied. Our aim is to evaluate the outcomes and the volume-outcomes relationship associated with postoperative infections following resection of common solid tumors. METHODS: We used Texas Discharge Data to study patients undergoing resection of cancer of the lung, esophagus, stomach, pancreas, colon, or rectum from 01/2002 to 11/2006. From their billing records, we identified ICD-9 codes indicating a diagnosis of serious postoperative infection (SPI), i.e., bacteremia/sepsis, pneumonia, and wound infection, occurring during surgical admission or leading to readmission within 30 days of surgery. Using regression-based techniques, we estimated the impact of SPI on mortality, resource utilization, and costs, as well as the relationship between hospital volume and SPI, after adjusting for confounders and data clustering. RESULTS: SPI occurred following 9.4 % of the 37,582 eligible tumor resections and was independently associated with nearly 12-fold increased odds of in-hospital mortality [95 % confidence interval (95 % CI), 7.2-19.5, P < 0.001]. Patients with SPI required six additional hospital days (95 % CI, 5.9-6.2) at an incremental cost of $16,991 (95 % CI, $16,495-$17,497). Patients who underwent resection at high-volume hospitals had a 16 % decreased odds of developing SPI than those at low-volume hospitals (P = 0.03). CONCLUSIONS: Due to the substantial burden associated with SPI following common solid tumor resections, hospitals must identify more effective prophylactic measures to avert these potentially preventable infections. Additional volume-outcomes research is needed to identify infection prevention processes that can be transferred from high- to lower-volume providers.

Algorithm for analysis of administrative pediatric cancer hospitalization data according to indication for admission.

BACKGROUND: Childhood cancer relies heavily on inpatient hospital services to deliver tumor-directed therapy and manage toxicities. Hospitalizations have increased over the past decade, though not uniformly across childhood cancer diagnoses. Analysis of the reasons for admission of children with cancer could enhance comparison of resource use between cancers, and allow clinical practice data to be interpreted more readily. Such comparisons using nationwide data sources are difficult because of numerous subdivisions in the International Classification of Diseases Clinical Modification (ICD-9) system and inherent complexities of treatments. This study aimed to develop a systematic approach to classifying cancer-related admissions in administrative data into categories that reflected clinical practice and predicted resource use. METHODS: We developed a multistep algorithm to stratify indications for childhood cancer admissions in the Kids Inpatient Databases from 2003, 2006 and 2009 into clinically meaningful categories. This algorithm assumed that primary discharge diagnoses of cancer or cytopenia were insufficient, and relied on procedure codes and secondary diagnoses in these scenarios. Clinical Classification Software developed by the Healthcare Cost and Utilization Project was first used to sort thousands of ICD-9 codes into 5 mutually exclusive diagnosis categories and 3 mutually exclusive procedure categories, and validation was performed by comparison with the ICD-9 codes in the final admission indication. Mean cost, length of stay, and costs per day were compared between categories of indication for admission. RESULTS: A cohort of 202,995 cancer-related admissions was grouped into four categories of indication for admission: chemotherapy (N=77,791, 38%), to undergo a procedure (N=30,858, 15%), treatment for infection (N=30,380, 15%), or treatment for other toxicities (N=43,408, 21.4%). The positive predictive value for the algorithm was >95% for each category. Admissions for procedures had higher mean hospital costs, longer hospital stays, and higher costs per day compared with other admission reasons (p<0.001). CONCLUSIONS: This is the first description of a method for grouping indications for childhood cancer admission within an administrative dataset into clinically relevant categories. This algorithm provides a framework for more detailed analyses of pediatric hospitalization data by cancer type.

Effect of an enhanced medical home on serious illness and cost of care among high-risk children with chronic illness: a randomized clinical trial.

IMPORTANCE: Patient-centered medical homes have not been shown to reduce adverse outcomes or costs in adults or children with chronic illness. OBJECTIVE: To assess whether an enhanced medical home providing comprehensive care prevents serious illness (death, intensive care unit [ICU] admission, or hospital stay >7 days) and/or reduces costs among children with chronic illness. DESIGN, SETTING, AND PARTICIPANTS: Randomized clinical trial of high-risk children with chronic illness (≥3 emergency department visits, ≥2 hospitalizations, or ≥1 pediatric ICU admissions during previous year, and >50% estimated risk for hospitalization) treated at a high-risk clinic at the University of Texas, Houston, and randomized to comprehensive care (n = 105) or usual care (n = 96). Enrollment was between March 2011 and February 2013 (when predefined stopping rules for benefit were met) and outcome evaluations continued through August 31, 2013. INTERVENTIONS: Comprehensive care included treatment from primary care clinicians and specialists in the same clinic with multiple features to promote prompt effective care. Usual care was provided locally in private offices or faculty-supervised clinics without modification. MAIN OUTCOMES AND MEASURES: Primary outcome: children with a serious illness (death, ICU admission, or hospital stay >7 days), costs (health system perspective). Secondary outcomes: individual serious illnesses, medical services, Medicaid payments, and medical school revenues and costs. RESULTS: In an intent-to-treat analysis, comprehensive care decreased both the rate of children with a serious illness (10 per 100 child-years vs 22 for usual care; rate ratio [RR], 0.45 [95% CI, 0.28-0.73]), and total hospital and clinic costs ($16,523 vs $26,781 per child-year, respectively; cost ratio, 0.58 [95% CI, 0.38-0.88]). In analyses of net monetary benefit, the probability that comprehensive care was cost neutral or cost saving was 97%. Comprehensive care reduced (per 100 child-years) serious illnesses (16 vs 44 for usual care; RR, 0.33 [95% CI, 0.17-0.66]), emergency department visits (90 vs 190; RR, 0.48 [95% CI, 0.34-0.67]), hospitalizations (69 vs 131; RR, 0.51 [95% CI, 0.33-0.77]), pediatric ICU admissions (9 vs 26; RR, 0.35 [95% CI, 0.18-0.70]), and number of days in a hospital (276 vs 635; RR, 0.36 [95% CI, 0.19-0.67]). Medicaid payments were reduced by $6243 (95% CI, $1302-$11,678) per child-year. Medical school losses (costs minus revenues) increased by $6018 (95% CI, $5506-$6629) per child-year. CONCLUSIONS AND RELEVANCE: Among high-risk children with chronic illness, an enhanced medical home that provided comprehensive care to promote prompt effective care vs usual care reduced serious illnesses and costs. These findings from a single site of selected patients with a limited number of clinicians require study in larger, broader populations before conclusions about generalizability to other settings can be reached. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT02128776.

Cultural orientations, parental beliefs and practices, and latino adolescents' autonomy and independence.

Despite the salience of behavioral autonomy and independence to parent-child interactions during middle adolescence, little is known about parenting processes pertinent to youth autonomy development for Latino families. Among a diverse sample of 684 Latino-origin parent-adolescent dyads in Houston, Texas, this study examines how parents' cultural orientations are associated directly and indirectly, through parental beliefs, with parenting practices giving youth behavioral autonomy and independence. Informed by social domain theory, the study's parenting constructs pertain to youth behaviors in an "ambiguously personal" domain-activities that adolescents believe are up to youth to decide, but which parents might argue require parents' supervision, knowledge, and/or decision-making. Results for latent profile analyses of parents' cultural identity across various facets of acculturation indicate considerable cultural heterogeneity among Latino parents. Although 43% of parents have a Latino cultural orientation, others represent Spanish-speaking/bicultural (21%), bilingual/bicultural (15%), English-speaking/bicultural (15%), or US (6%) cultural orientations. Structural equation modeling results indicate that bilingual/bicultural, English-speaking/bicultural, and US-oriented parents report less emphasis on the legitimacy of parental authority and younger age expectations for youth to engage in independent behaviors than do Latino-oriented parents. Parental beliefs endorsing youth's behavioral independence and autonomy, in turn, are associated with less stringent parental rules (parental report), less parental supervision (parental and youth report), and more youth autonomy in decision-making (parental and youth report). Evidence thus supports the idea that the diverse cultural orientations of Latino parents in the US may result in considerable variations in parenting processes pertinent to Latino adolescents' development.