Health and economic outcomes of newborn screening for infantile-onset Pompe disease.

PURPOSE: To estimate health and economic outcomes associated with newborn screening (NBS) for infantile-onset Pompe disease in the United States. METHODS: A decision analytic microsimulation model simulated health and economic outcomes of a birth cohort of 4 million children in the United States. Universal NBS and treatment was compared with clinical identification and treatment of infantile-onset Pompe disease. Main outcomes were projected cases identified, costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) over the life course. RESULTS: Universal NBS for Pompe disease and confirmatory testing was estimated to cost an additional $26 million annually. Additional medication costs associated with earlier treatment initiation were $181 million; however, $8 million in medical care costs for other services were averted due to delayed disease progression. Infants with screened and treated infantile-onset Pompe disease experienced an average lifetime increase of 11.66 QALYs compared with clinical detection. The ICER was $379,000/QALY from a societal perspective and $408,000/QALY from the health-care perspective. Results were sensitive to the cost of enzyme replacement therapy. CONCLUSION: Newborn screening for Pompe disease results in substantial health gains for individuals with infantile-onset Pompe disease, but with additional costs.

Resource Use and Outcomes for Children Hospitalized With Severe Sepsis or Septic Shock.

OBJECTIVE: To describe patient and hospital characteristics associated with in-hospital mortality, length of stay (LOS), and charges for children with severe sepsis or septic shock who often require specialized organ-supportive technology to enhance outcomes, availability of which might vary across hospitals. DESIGN: Retrospective study among children hospitalized for severe sepsis or septic shock, using the 2012 Kids' Inpatient Database. Multivariate regression methods identified factors associated with mortality, LOS, and charges. MEASUREMENTS AND MAIN RESULTS: Of an estimated 11 972 hospitalizations for pediatric severe sepsis or septic shock, most hospitalizations (85%) were to urban teaching hospitals. Hospitalizations were more frequent among neonates and older adolescents than other age groups. Mortality was 17%, average LOS was 24 days, and average hospital charges were US$314 950. Higher mortality was associated with neonates, cumulative organ dysfunction, more comorbidities, and cardiopulmonary resuscitation. Longer hospitalization and higher charges were associated with neonates, more comorbidities, higher illness severity, invasive medical technology, and urban hospitals. CONCLUSIONS: Efforts to mitigate the substantial in-hospital mortality and resource use observed in pediatric severe sepsis or septic shock should be age-specific and focused on the influence of comorbidities and organ dysfunction on outcomes. Future research should elucidate reasons for higher resource use at urban hospitals.

Research priorities of people living with Turner syndrome.

Despite major discoveries, traditional biomedical research has not always addressed topics perceived as priorities by patients and their families. Patient-centered care is predicated on research taking such priorities into account. The present study surveyed women with Turner syndrome (TS; 18+ years; n = 543), parents of women with TS (n = 232), and parents of younger daughters with TS (<18 years; n = 563), regarding their priorities for research. The study also included a quantitative audit of research categorized as either predominantly biomedical or psychological in the medical and other scientific literature. The overwhelming majority of all surveyed stakeholders (84% and higher) rated both biomedical and psychological research in TS as "very important," yet only approximately 9% of published research focused on psychological aspects of TS. The odds of women with TS identifying psychological research as "most important" was significantly lower (OR: 0.607; 95% CI: 0.375, 0.982] than the odds of parents making the same prioritization. Despite the majority of participants rating research as very important, only approximately half-rated participation in research as similarly important. The majority of respondents in all three groups (59%-73%) indicated they would "very likely" participate in research pertaining to eating or nutrition, quality of life, or genetic studies in TS. Substantially fewer expressed similar eagerness to participate in studies involving the study of a new medicine or medical device. Increased engagement of patient and family stakeholders in research requires that investigators select topics of study important to that community.

Association of abdominal muscle composition with prediabetes and diabetes: The CARDIA study.

AIM: To evaluate the relationship of abdominal muscle lean tissue and adipose tissue volumes with prediabetes and diabetes. RESEARCH DESIGN AND METHODS: We measured abdominal muscle composition in 3170 participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study who underwent computed tomography (CT) at Year 25 of follow-up (ages, 43-55 years). Multinomial regression analysis was used to evaluate the associations of CT-measured intermuscular adipose tissue (IMAT), lean muscle tissue (lean) and visceral adipose tissue (VAT) volumes with diabetes at any point during the CARDIA study, newly detected prediabetes, prior history of prediabetes, and normal glucose tolerance. Models were adjusted for potential confounding factors: age, sex, race, height, smoking status, hypertension, hyperlipidaemia, cardiorespiratory fitness and study centre. RESULTS: Higher IMAT, lean and VAT volumes were all separately associated with a higher prevalence of prediabetes and diabetes. Inclusion of VAT volume in models with both IMAT volume and lean volume attenuated the association of IMAT with both prediabetes and diabetes, but higher lean volume retained its association with prediabetes and diabetes. Individuals in the highest IMAT quartile, coupled with VAT in its lower three quartiles, had a higher prevalence of diabetes, but not of prediabetes, than those with both IMAT and VAT in their respective lower three quartiles. Adjusting for cardiorespiratory fitness did not substantially change the findings. CONCLUSION: Higher IMAT volume was associated with a higher prevalence of diabetes even after adjustment for VAT volume. However, further study is warranted to understand the complicated relationship between abdominal muscle and adipose tissues.

Transfer hospitalizations for pediatric severe sepsis or septic shock: resource use and outcomes.

BACKGROUND: Sepsis is a major cause of child mortality and morbidity. To enhance outcomes, children with severe sepsis or septic shock often require escalated care for organ support, sometimes necessitating interhospital transfer. The association between transfer admission for the care of pediatric severe sepsis or septic shock and in-hospital patient survival and resource use is poorly understood. METHODS: Retrospective study of children 0-20 years old hospitalized for severe sepsis or septic shock, using the 2012 Kids' Inpatient Database. After descriptive and bivariate analysis, multivariate regression methods assessed the independent relationship between transfer status and outcomes of in-hospital mortality, duration of hospitalization, and hospital charges, after adjustment for potential confounders including illness severity. RESULTS: Of an estimated 11,922 hospitalizations (with transfer information) for pediatric severe sepsis and septic shock nationally in 2012, 25% were transferred, most often to urban teaching hospitals. Compared to non-transferred children, transferred children were younger, and had a higher frequency of extreme illness severity (84% vs. 75%, p < .01), and of multiple organ dysfunction (32% vs. 24%, p < .01). They also had higher use of invasive medical devices including arterial catheters, invasive mechanical ventilation, and central venous catheters; and of specialized technology, including renal replacement therapy (6.2% vs. 4.6%, p < .01) and extracorporeal membrane oxygenation (5.7% vs. 1.8%, p < .01). Transferred children had longer hospitalization and accrued higher charges than non-transferred children (p < .01). Crude mortality was higher among transferred than non-transferred children (21.4% vs.15.0%, p < .01), a difference no longer statistically significant after multivariate adjustment for potential confounders (Odds Ratio:1.04, 95% Confidence interval: 0.88-1.24). Similarly, adjusted length of hospital stay and hospital charges were not statistically different by transfer status. CONCLUSION: One in four children with severe sepsis or septic shock required interhospital transfer for specialized care associated with greater use of invasive medical devices and specialized technology. Despite higher crude mortality and resource consumption among transferred children, adjusted mortality and resource use did not differ by transfer status. Further research should identify quality-of-care factors at the receiving hospitals that influence clinical outcomes and resource use.

Joint Utility Estimators in Substance Use Disorders.

BACKGROUND: Although co-occurring conditions are common with substance use disorders (SUDs), estimation methods for joint health state utilities have not yet been tested in this context. OBJECTIVES: To compare joint health state utility estimators in SUD to inform economic evaluation. METHODS: We conducted two Internet-based surveys of US adults to collect community perspective standard gamble utilities for SUD and common co-occurring conditions. We evaluated six conditions as they occur individually and four combinations of these as they occur in tandem. We applied joint utility estimators using the six individual conditions' utilities to compare their performance relative to the observed combination states' utilities. We assessed performance with bias (estimated utility minus observed utility) and root mean square error (RMSE). RESULTS: Using 3892 utilities from 1502 respondents, the minimum estimator was statistically unbiased (i.e., the 95% confidence interval included 0) for all combination states that we measured. The maximum estimator was unbiased for two states and the linear index and adjusted decrement estimators were unbiased for one state. The maximum estimator had the smallest RMSE for two combination states (back pain and prescription opioid misuse [0.0004] and injection crack and injection opioid use [0.0007]); the linear index and minimum estimators had the smallest RMSE for one combination state each. The additive and multiplicative estimators had the largest RMSE for all states. CONCLUSIONS: Our results demonstrate the usefulness of the minimum estimator in this context, and confirm the inadequacy of the additive and multiplicative estimators. Further research is needed to extend these results to other SUD states.

Influence of Obesity Diagnosis With Organ Dysfunction, Mortality, and Resource Use Among Children Hospitalized With Infection in the United States.

BACKGROUND: Sepsis induces inflammation in response to infection and is a major cause of mortality and hospitalization in children. Obesity induces chronic inflammation leading to many clinical manifestations. Our understanding of the impact of obesity on diseases, such as infection and sepsis, is limited. The objective of this study was to evaluate the association of obesity with organ dysfunction, mortality, duration, and charges during among US children hospitalized with infection. METHODS: Retrospective study of hospitalizations in children with infection aged 0 to 20 years, using the 2009 Kids' Inpatient Database. RESULTS: Of 3.4 million hospitalizations, 357 701 were for infection, 5685 of which were reported as obese children. Obese patients had higher rates of organ dysfunction (7.35% vs 5.5%, P < .01), longer hospital stays (4.1 vs 3.5 days, P < .001), and accrued higher charges (US$29 019 vs US$21 200, P < .001). In multivariable analysis, mortality did not differ by obesity status (odds ratio: 0.56, 95% confidence interval: 0.23-1.34), however severity of illness modified the association between obesity status and the other outcomes. CONCLUSIONS: While there was no difference in in-hospital mortality by obesity diagnosis, variation in organ dysfunction, hospital stay, and hospital charges according to obesity status was mediated by illness severity. Findings from this study have significant implications for targeted approaches to mitigate the burden of obesity on infection and sepsis.

Development and Validation of the Neonatal Risk Estimate Score for Children Using Extracorporeal Respiratory Support.

OBJECTIVE: To develop and validate the Neonatal Risk Estimate Score for Children Using Extracorporeal Respiratory Support, which estimates the risk of in-hospital death for neonates prior to receiving respiratory extracorporeal membrane oxygenation (ECMO) support. STUDY DESIGN: We used an international ECMO registry (2008-2013); neonates receiving ECMO for respiratory support were included. We divided the registry into a derivation sample and internal validation sample, by calendar date. We chose candidate variables a priori based on published evidence of association with mortality; variables independently associated with mortality in logistic regression were included in this parsimonious model of risk adjustment. We evaluated model discrimination with the area under the receiver operating characteristic curve (AUC), and we evaluated calibration with the Hosmer-Lemeshow goodness-of-fit test. RESULTS: During 2008-2013, 4592 neonates received ECMO respiratory support with mortality of 31%. The development dataset contained 3139 patients treated in 2008-2011. The Neo-RESCUERS measure had an AUC of 0.78 (95% CI 0.76-0.79). The validation cohort had an AUC = 0.77 (0.75-0.80). Patients in the lowest risk decile had an observed mortality of 7.0% and a predicted mortality of 4.4%, and those in the highest risk decile had an observed mortality of 65.6% and a predicted mortality of 67.5%. CONCLUSIONS: Neonatal Risk Estimate Score for Children Using Extracorporeal Respiratory Support offers severity-of-illness adjustment for neonatal patients with respiratory failure receiving ECMO. This score may be used to adjust patient survival to assess hospital-level performance in ECMO-based care.

Can longitudinal generalized estimating equation models distinguish network influence and homophily? An agent-based modeling approach to measurement characteristics.

BACKGROUND: Connected individuals (or nodes) in a network are more likely to be similar than two randomly selected nodes due to homophily and/or network influence. Distinguishing between these two influences is an important goal in network analysis, and generalized estimating equation (GEE) analyses of longitudinal dyadic network data are an attractive approach. It is not known to what extent such regressions can accurately extract underlying data generating processes. Therefore our primary objective is to determine to what extent, and under what conditions, does the GEE-approach recreate the actual dynamics in an agent-based model. METHODS: We generated simulated cohorts with pre-specified network characteristics and attachments in both static and dynamic networks, and we varied the presence of homophily and network influence. We then used statistical regression and examined the GEE model performance in each cohort to determine whether the model was able to detect the presence of homophily and network influence. RESULTS: In cohorts with both static and dynamic networks, we find that the GEE models have excellent sensitivity and reasonable specificity for determining the presence or absence of network influence, but little ability to distinguish whether or not homophily is present. CONCLUSIONS: The GEE models are a valuable tool to examine for the presence of network influence in longitudinal data, but are quite limited with respect to homophily.

Hospital discharges for fever and neutropenia in pediatric cancer patients: United States, 2009.

BACKGROUND: Fever and neutropenia (FN) is a common complication of pediatric cancer treatment, but hospital utilization patterns for this condition are not well described. METHODS: Data were analyzed from the Kids' Inpatient Database (KID), an all-payer US hospital database, for 2009. Pediatric FN patients were identified using: age ≤19 years, urgent or emergent admit type, non-transferred, and a combination of ICD-9-CM codes for fever and neutropenia. Sampling weights were used to permit national inferences. RESULTS: Pediatric cancer patients accounted for 1.5 % of pediatric hospital discharges in 2009 (n = 110,967), with 10.1 % of cancer-related discharges meeting FN criteria (n = 11,261). Two-fifths of FN discharges had a "short length of stay" (SLOS) of ≤3 days, which accounted for approximately $65.5 million in hospital charges. Upper respiratory infection (6.0 %) and acute otitis media (AOM) (3.7 %) were the most common infections associated with SLOS. Factors significantly associated with SLOS included living in the Midwest region (OR = 1.65, 1.22-2.24) or West region (OR 1.54, 1.11-2.14) versus Northeast, having a diagnosis of AOM (OR = 1.39, 1.03-1.87) or viral infection (OR = 1.63, 1.18-2.25) versus those without those comorbidities, and having a soft tissue sarcoma (OR = 1.47, 1.05-2.04), Hodgkin lymphoma (OR = 2.33, 1.62-3.35), or an ovarian/testicular tumor (OR = 1.76, 1.05-2.95) compared with patients without these diagnoses. CONCLUSION: FN represents a common precipitant for hospitalizations among pediatric cancer patients. SLOS admissions are rarely associated with serious infections, but contribute substantially to the burden of hospitalization for pediatric FN.

Why pediatric patients with cancer visit the emergency department: United States, 2006-2010.

BACKGROUND: Little is known about emergency department (ED) use among pediatric patients with cancer. We explored reasons prompting ED visits and factors associated with hospital admission. PROCEDURE: A retrospective cohort analysis of pediatric ED visits from 2006 to 2010 using the Nationwide Emergency Department Sample, the largest all-payer database of United States ED visits. Pediatric patients with cancer (ages ≤19 years) were identified using Clinical Classification Software. Proportion of visits and disposition for the top ten-ranking non-cancer diagnoses were determined. Weighted multivariate logistic regression was performed to analyze factors associated with admission versus discharge. RESULTS: There were 294,289 ED visits by pediatric patients with cancer in the U.S. over the study period. Fever and fever with neutropenia (FN) were the two most common diagnoses, accounting for almost 20% of visits. Forty-four percent of pediatric patients with cancer were admitted to the same hospital, with admission rates up to 82% for FN. Risk factors for admission were: FN (odds ratio (OR) 8.58; 95% confidence interval (CI) 5.97-12.34); neutropenia alone (OR 7.28; 95% CI 5.08-10.43), ages 0-4 years compared with 15-19 years (OR 1.19; 95% CI 1.08-1.31) and highest median household income ZIP code (OR 1.27; 95% CI 1.08-1.49) compared with lowest. "Self-pay" visits had lower odds of admission (OR 0.42; 95% CI 0.35-0.51) compared with public payer. CONCLUSION: FN was the most common reason for ED visits among pediatric patients with cancer and is the condition most strongly associated with admission. Socioeconomic factors appear to influence ED disposition for this population.

Disproportionate rise in Clostridium difficile-associated hospitalizations among US youth with inflammatory bowel disease, 1997-2011.

OBJECTIVES: Our aim was to characterize the temporal changes in burden that Clostridium difficile infection (CDI) added to the hospital care of children and young adults with inflammatory bowel disease (IBD) in the United States. METHODS: Retrospective analysis of annual, nationally representative samples of children and young adults with IBD. RESULTS: There was a 5-fold increase in IBD hospitalizations with CDI from 1997 to 2011 (P for trend <0.01). During the same period, IBD hospitalizations without CDI increased 2-fold (P for trend <0.01). Mean length of stay for IBD hospitalizations with CDI was consistently longer than that for hospitalizations without CDI and did not significantly change over time (P for trend = 0.47). CDI-related total hospital days in the United States rose from 1702 to 10,194 days per million individuals per year from 1997 to 2011 (P for trend <0.01). Children and young adults hospitalized with CDI had a significantly lower odds of colectomy (0.31) compared with those without CDI. Total charges for CDI-related hospitalizations among children and young adults in the United States rose from $8.7 million in 1997 to $68.2 million in 2011. CONCLUSIONS: A widening gap in burden has opened between IBD hospitalizations with and without CDI during the last decade and a half. CDI-related hospitalizations are associated with disproportionately longer lengths of stay, more hospital days, and more charges than hospitalizations without CDI over time. Further work within health systems, hospitals, and practices can help us better understand this enlarging gap to improve clinical care for this vulnerable population.

Longitudinal associations between poverty and obesity from birth through adolescence.

OBJECTIVES: We examined the relationship between timing of poverty and risk of first-incidence obesity from ages 3 to 15.5 years. METHODS: We used the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (1991-2007) to study 1150 children with repeated measures of income, weight, and height from birth to 15.5 years in 10 US cities. Our dependent variable was the first incidence of obesity (body mass index ≥ 95th percentile). We measured poverty (income-to-needs ratio < 2) prior to age 2 years and a lagged, time-varying measure of poverty between ages 2 and 12 years. We estimated discrete-time hazard models of the relative risk of first transition to obesity. RESULTS: Poverty prior to age 2 years was associated with risk of obesity by age 15.5 years in fully adjusted models. These associations did not vary by gender. CONCLUSIONS: Our findings suggest that there are enduring associations between early life poverty and adolescent obesity. This stage in the life course may serve as a critical period for both poverty and obesity prevention.

Epidemiology of Acute Respiratory Failure in US Children: Outcomes and Resource Use.

OBJECTIVE: Acute respiratory failure recalcitrant to conventional management often requires specialized organ-supportive technologies to optimize outcomes. Variation in the availability of these technologies prompted testing of the hypothesis that outcomes and resource use will vary by not only patient characteristics but also hospital characteristics and receipt of organ-supportive technology. METHODS: Retrospective study of children 0 to 20 years old hospitalized for acute respiratory failure using the 2019 Kids' Inpatient Database. Multivariable regression models identified factors associated with mortality, length of hospitalization, and costs. RESULTS: Of an estimated 75 365 hospitalizations nationally, 97% were to urban teaching hospitals, 57% were of children < 6 years, and 58% were of males. Complex chronic conditions (CCC) existed in 62%, multiorgan dysfunction in 35%, and extreme illness severity in 54%. Mortality was 7%, length of stay 15 days, and hospital costs $77 168. Elevated mortality was associated with cumulative organ dysfunction (odds ratio [OR]:2.31, 95% confidence interval [CI]: 2.22-2.42), CCC (OR: 5.49, 95% CI: 4.73-6.37), transfer, higher illness severity, and cardiopulmonary resuscitation. Lower mortality was associated with extracorporeal membrane oxygenation (OR: 0.36, 95% CI: 0.28-0.47) and new tracheostomy (OR: 0.30, 95% CI: 0.25-0.35). Longer hospitalization was associated with transfer, infancy, CCC, higher illness severity, cumulative organ dysfunction, and urban hospitals. Higher costs accrued with noninfants, cumulative organ dysfunction, private insurance, and urban teaching hospitals. CONCLUSIONS: Hospitalizations for pediatric acute respiratory failure incurred substantial mortality and resource consumption. Efforts to reduce mortality and resource consumption should address interhospital transfer, access to organ-supportive technology, and drivers of higher severity-adjusted resource consumption at urban hospitals.

A risk score for identifying overweight adolescents with dysglycemia in primary care settings.

OBJECTIVE: To develop a clinical risk scoring system for identifying adolescents with dysglycemia (prediabetes or diabetes) who need further confirmatory testing and to determine whether the addition of non-fasting tests would improve the prediction of dysglycemia. STUDY DESIGN: A sample of 176 overweight and obese adolescents (10-17 years) had a history/physical exam, a 2-h oral glucose tolerance test, and non-fasting tests [hemoglobin A1c, 1-h glucose challenge test (GCT), and random glucose test] performed. Given the low number of children with diabetes, we created several risk scoring systems combining the clinical characteristics with non-fasting tests for identifying adolescents with dysglycemia and compared the test performance. RESULTS: Sixty percent of participants were white and 32% were black; 39.2% had prediabetes and 1.1% had diabetes. A basic model including demographics, body mass index percentile, family history of diabetes, and acanthosis nigricans had reasonable test performance [area under the curve (AUC), 0.75; 95% confidence interval (95% CI), 0.68-0.82]. The addition of random glucose (AUC, 0.81; 95% CI, 0.75-0.87) or 1-h GCT (AUC, 0.82; 95% CI, 0.75-0.88) to the basic model significantly improved the predictive capacity, but the addition of hemoglobin A1c did not (AUC, 0.76; 95% CI, 0.68-0.83). The clinical score thresholds to consider for the basic plus random glucose model are total score cutoffs of 60 or 65 (sensitivity 86% and 65% and specificity 60% and 78%, respectively) and for the basic plus 1-h GCT model are total score cutoffs of 50 or 55 (sensitivity 87% and 73% and specificity 59% and 76%, respectively). CONCLUSIONS: Pending a validation in additional populations, a risk score combining the clinical characteristics with non-fasting test results may be a useful tool for identifying children with dysglycemia in the primary care setting.

Pediatric high-impact conditions in the United States: retrospective analysis of hospitalizations and associated resource use.

BACKGROUND: Child mortality in the United States has decreased over time, with advance in biomedicine. Little is known about patterns of current pediatric health care delivery for children with the leading causes of child death (high-impact conditions). We described patient and hospital characteristics, and hospital resource use, among children hospitalized with high-impact conditions, according to illness severity. METHODS: We conducted a retrospective study of children 0-18 years of age, hospitalized with discharge diagnoses of the ten leading causes of child death, excluding diagnoses not amenable to hospital care, using the 2006 version of the Kid's Inpatient Database. National estimates of average and cumulative hospital length of stay and total charges were compared between types of hospitals according to patient illness severity, which was measured using all-patient refined diagnosis related group severity classification into minor-moderate, major, and extreme severity. RESULTS: There were an estimated 3,084,548 child hospitalizations nationally for high-impact conditions in 2006, distributed evenly among hospital types. Most (84.4%) had minor-moderate illness severity, 12.2% major severity, and 3.4% were extremely ill. Most (64%) of the extremely ill were hospitalized at children's hospitals. Mean hospital stay was longest among the extremely ill (32.8 days), compared with major (9.8 days, p < 0.0001), or minor-moderate (3.4 days, p < 0.001) illness severity. Mean total hospital charges for the extremely ill were also significantly higher than for hospitalizations with major or minor-moderate severity. Among the extremely ill, more frequent hospitalization at children's hospitals resulted in higher annual cumulative charges among children's hospitals ($ 7.4 billion), compared with non-children teaching hospitals ($ 3.2 billion, p = 0.023), and non-children's non-teaching hospitals ($ 1.5 billion, p < 0.001). Cumulative annual length of hospital stay followed the same pattern, according to hospital type. CONCLUSION: Gradation of increasing illness severity among children hospitalized for high-impact conditions was associated with concomitantly increased resource consumption. These findings have significant implications for children's hospitals which appear to accrue the highest resource use burden due to preferential hospitalization of the most severely ill at these hospitals.

Medical home disparities for children by insurance type and state of residence.

The objectives of this study are (1) to compare the prevalence of a medical home between children with public and private insurance across states, (2) to investigate the association between a medical home and state health care characteristics for children with public and private insurance. We performed a cross-sectional analysis of the 2007 National Survey of Children's Health, estimating the prevalence of parents' report of a medical home and its components for publicly- and privately-insured children in all 50 states and the District of Columbia. We then performed a series of random-effects multilevel logistic regression models to assess the associations between a medical home and insurance type, individual sociodemographic characteristics, and state level characteristics/policies. The prevalence of a medical home varied significantly across states for both publicly- and privately-insured children (ranges: 33-63 % and 57-76 %, respectively). Compared to privately-insured children, publicly-insured children had a lower prevalence of a medical home in all states (public-private difference: 5-34 %). Low prevalence of a medical home was driven primarily by less family-centered care. Variation across states and differences by insurance type were largely attributable to lower reports of a medical home among traditionally vulnerable groups of children, including racial/ethnic minorities and non-English primary language speakers. The prevalence of a medical home was not associated with state level characteristics/policies. There are significant disparities between states in parents' report of a medical home for their children, especially for publicly-insured children. Interventions seeking to address these disparities will need to target family-centered care for traditionally vulnerable populations of children.

Underinsurance for recently recommended vaccines in private health plans.

Underinsurance for vaccines presents financial barriers to vaccination. Preventive services coverage is of interest in national healthcare reform. To assess vaccine benefits coverage in private health plans. Private health insurance carriers were surveyed December 2008-June 2009 on policies regarding vaccine coverage in fully insured plans. Carriers were identified as multi-state, state-specific Blue Cross or local-independent carriers. Plan types included HMO, PPO, POS and 'other.' Full benefits coverage was defined as having benefits without a copay or coinsurance for a recommended vaccine. Analyses were conducted to examine associations between carrier type, plan type, and full benefits coverage. Fifty-one carriers (response rate = 56 %) provided data for 78 unique plans, reflecting over 47 million private plan enrollees. Full benefits coverage was highest for combined tetanus/diphtheria/acellular pertussis (74 %) and lower for pneumococcal conjugate (72 %), rotavirus (72 %), human papillomavirus (71 %), hepatitis A (68 %), meningococcal conjugate (67 %), inactivated influenza (67 %), live attenuated influenza (63 %) and zoster (57 %) vaccines. Compared with plans offered by state-specific Blue Cross carriers, significantly higher proportions of multi-state carriers and local independent carriers had plans with full benefits coverage for vaccines (p < 0.05). Compared with PPO and "other" plans, significantly higher proportions of HMO and POS plans had full benefits coverage for vaccines (p < 0.05). In this national study, levels of underinsurance for immunization leave room for improvement. State-specific Blue Cross plans and indemnity or high-deductible plans are least likely to offer full coverage for recently recommended vaccines, and may face changes with incorporation of "essential health benefits" requirements.

Cost-effectiveness of a motivational interviewing obesity intervention versus usual care in pediatric primary care offices.

OBJECTIVE: This study aimed to assess the incremental cost-effectiveness ratio (ICER) of a 2-year motivational interviewing (MI) intervention versus usual primary care. METHODS: A national trial was implemented in the Pediatric Research in Office Settings (PROS) network of the American Academy of Pediatrics to evaluate MI versus usual care for children (2-8 years old; baseline BMI 85th-97th percentiles). Health care use, food costs, provider fees, and training costs were assessed, and sensitivity analyses were conducted. Primary outcome was the ICER, calculated as cost per unit change in BMI percentile for intervention versus usual care. RESULTS: At 2 years, 72% of enrolled parent/child dyads were retained; 312 children were included in the analysis. Mean BMI percentile point change was -4.9 and -1.8 for the intervention and control, respectively, yielding an incremental reduction of 3.1 BMI percentile points (95% CI: 1.2-5.0). The intervention cost $1051 per dyad ($658 for training DVD development). Incorporating health care and non-health care costs, the intervention ICER was $363 (range from sensitivity analyses: cost saving, $3159) per BMI percentile point decrease per participant over 2 years. CONCLUSIONS: Training pediatricians, nurse practitioners, and registered dietitians to deliver MI-based interventions for childhood obesity in primary care is clinically effective and acceptably cost-effective. Future work should explore this approach in broader dissemination.