Alex Y. Chen

Prevalence of obesity among children with chronic conditions.

New evidence suggests that children with chronic conditions may be predisposed to overweight and obesity. This study provides prevalence estimate of obesity for children and adolescents with select chronic conditions. We analyzed reported height and weight and the corresponding BMI from 46,707 subjects aged 10–17 years collected by the National Survey of Childrens Health (NSCH‐2003). Our main outcome measure was the prevalence of obesity (defined as ≥95th percentile of the sex‐specific BMI for age growth charts), adjusted for underlying demographic and socioeconomic factors. We found that the prevalence of obesity among children 10–17 years of age without a chronic condition was 12.2% (95% confidence interval (CI) 11.5–13.0); the prevalence of obesity for children with asthma was 19.7% (19.5–19.9); with a hearing/vision condition was 18.4% (18.2–18.5); with learning disability was 19.3% (19.2–19.4); with autism was 23.4% (23.2–23.6); and with attention‐deficit/hyperactivity disorder was 18.9% (18.7–19.0). Our findings suggest that children 10–17 years of age with select chronic conditions were at increased risk for obesity compared to their counterparts without a chronic condition.

Primary Language and Receipt of Recommended Health Care Among Hispanics in the United States

BackgroundDisparities in health care services between Hispanics and whites in the United States are well documented.ObjectiveThe objective of the study was to determine whether language spoken at home identifies Hispanics at risk for not receiving recommended health care services.DesignThe design of the study was cross-sectional, nationally representative survey of households.PatientsThe patients were non-Hispanic white and Hispanic adults participating in the 2003 Medical Expenditure Panel Survey.MeasurementsWe compared receipt of ten recommended health care services by ethnicity and primary language adjusting for demographic and socioeconomic characteristics, health status, and access to care.ResultsThe sample included 12,706 whites and 5,500 Hispanics. In bivariate comparisons, 57.0% of whites received all eligible health care services compared to 53.6% for Hispanics who spoke English at home, 44.9% for Hispanics who did not speak English at home but who were comfortable speaking English, and 35.0% for Hispanics who did not speak English at home and were uncomfortable speaking English (p < .001). In multivariate logistic models, compared to non-Hispanic whites, Hispanics who did not speak English at home were less likely to receive all eligible health care services, whether they were comfortable speaking English (risk ratio [RR] 0.88, 95% confidence interval [CI] 0.74–0.97) or not (RR 0.84, 95% CI 0.68–0.95).ConclusionsSpeaking a language other than English at home identified Hispanics at risk for not receiving recommended health care services, whether they were comfortable in speaking English or not. Identifying the mechanism for disparities by language usage may lead to interventions to reduce ethnic disparities.

Pediatric Medical Complexity Algorithm: A New Method to Stratify Children by Medical Complexity

OBJECTIVES: The goal of this study was to develop an algorithm based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), codes for classifying children with chronic disease (CD) according to level of medical complexity and to assess the algorithm’s sensitivity and specificity. METHODS: A retrospective observational study was conducted among 700 children insured by Washington State Medicaid with ≥1 Seattle Children’s Hospital emergency department and/or inpatient encounter in 2010. The gold standard population included 350 children with complex chronic disease (C-CD), 100 with noncomplex chronic disease (NC-CD), and 250 without CD. An existing ICD-9-CM–based algorithm called the Chronic Disability Payment System was modified to develop a new algorithm called the Pediatric Medical Complexity Algorithm (PMCA). The sensitivity and specificity of PMCA were assessed. RESULTS: Using hospital discharge data, PMCA’s sensitivity for correctly classifying children was 84% for C-CD, 41% for NC-CD, and 96% for those without CD. Using Medicaid claims data, PMCA’s sensitivity was 89% for C-CD, 45% for NC-CD, and 80% for those without CD. Specificity was 90% to 92% in hospital discharge data and 85% to 91% in Medicaid claims data for all 3 groups. CONCLUSIONS: PMCA identified children with C-CD (who have accessed tertiary hospital care) with good sensitivity and good to excellent specificity when applied to hospital discharge or Medicaid claims data. PMCA may be useful for targeting resources such as care coordination to children with C-CD.

Corneal power measurement with Fourier-domain optical coherence tomography

PURPOSE: To study the accuracy and repeatability of anterior, posterior, and net corneal power measured by Fourier‐domain optical coherence tomography (OCT). SETTING: Doheny Eye Institute, Los Angeles, California, USA. DESIGN: Cross‐sectional study. METHODS: A Fourier‐domain OCT system (RTVue) was used to scan normal eyes, eyes after myopic laser in situ keratomileusis (LASIK), and keratoconic eyes. After the corneal surfaces were delineated, the system calculated anterior and posterior corneal powers by curve fitting over the central 3.0 mm diameter area. Net corneal power was calculated using a thick‐lens formula. The repeatability of the calculations was evaluated by the pooled standard deviation of 3 measurements from the same visit. The net corneal power values were compared with standard automated keratometry measurements (IOLMaster). RESULTS: The repeatability of Fourier‐domain OCT net corneal power was 0.19 diopters (D), 0.26 D, and 0.30 D in the normal, post‐LASIK, and keratoconus groups, respectively. The Fourier‐domain OCT net corneal power was significantly lower than keratometry by a mean of −1.21 D, −2.89 D, and −3.07 D, respectively (P<.001). The anterior–posterior curvature ratio was lower in post‐LASIK and keratoconic eyes than in normal eyes (P<.001). CONCLUSIONS: Corneal power measured by Fourier‐domain OCT achieved good repeatability in all 3 groups. The repeatability was better than slower time‐domain OCT systems. Because Fourier‐domain OCT directly measures both anterior and posterior corneal surfaces, it may produce more consistent results than standard keratometry in post‐LASIK and keratoconic eyes in which the anterior–posterior corneal curvature ratios are altered by surgery or disease. Financial Disclosure: No author has a financial or proprietary interest in any material or method mentioned. Additional disclosures are found in the footnotes.

National Profile of Nonemergent Pediatric Emergency Department Visits

OBJECTIVE: Emergency department (ED) crowding prevents the efficient and effective use of health services and compromises quality. Patients who use the ED for nonemergent health concerns may unnecessarily crowd ED services. In this article we describe characteristics of pediatric patients in the United States who use EDs for nonemergent visits. METHODS: We analyzed data from the 2002–2005 Medical Expenditure Panel Survey. The Medical Expenditure Panel Survey is conducted by the Agency for Healthcare Research and Quality and consists of a nationally representative sample of the civilian noninstitutionalized population of the United States. Our study sample consisted of 5512 person-years of observation. We included only ED visits for children from birth to 17 years of age with a specified International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code. The main dependent variable for our multivariate logistic model was nonemergent ED use, which was constructed by using the New York University ED-classification algorithm. Independent variables were derived from Andersens Behavioral Model of Health Services Utilization. RESULTS: We found that from 2002 to 2005, a nationally representative sample of US children from birth to 17 years of age used EDs for various nonemergent or primary care–treatable diagnoses. Overall, children from higher-income families had higher ED expenditures than children from lower-income families. Children with private insurance had higher total ED expenditures than publicly insured or uninsured children, but uninsured children had the highest out-of-pocket expenditures. We found that children from birth to 2 years of age were less likely to use the ED for nonemergent diagnoses (odds ratio [OR]: 0.13; P < .01) compared with older children. Non-Hispanic black children were also less likely to use the ED for nonemergent diagnoses (OR: 0.40; P = .03) than were non-Hispanic white children. CONCLUSION: Childrens sociodemographic characteristics were predictors of nonemergent use of ED services.

Preventive Health Care for Children With and Without Special Health Care Needs

OBJECTIVE. The objective of this study was to compare the receipt of preventive health services for children with and without special health care needs and to identify predictors of these health services for children with special health care needs using nationally representative data. METHODS. Data from the 2002 and 2003 Medical Expenditure Panel Surveys were analyzed. A total of 18279 children aged 3 to 17 years were included in our study. The Child Preventive Health Supplement was used to identify caregiver recall of specific health screening measures and anticipatory guidance during the previous 12 months. Odds ratios were calculated for predictive factors of preventive services for children with special health care needs. RESULTS. The prevalence of special health care needs in children aged 3 to 17 years was 21.6%. Based on caregiver reports, 87.5% of children with special health care needs had ≥1 health screening measure checked in the past year compared with 73.1% of children without special health care needs. Receipt of ≥1 topic of anticipatory guidance was reported for 69.8% of children with special health care needs compared with 55.2% of children without special health care needs. Black and Hispanic caregivers of children with special health care needs were more likely than others to report receipt of all 6 categories of anticipatory guidance measured in this study. CONCLUSIONS. We found that caregivers of children with special health care needs were more likely to report receipt of anticipatory guidance and health screening than were caregivers of children without special health care needs. Although a majority of these caregivers reported receiving some health screening and anticipatory guidance on an annual basis, there are clear gaps in the delivery of preventive health services. This study identifies areas for improvement in the delivery of preventive health services for children with special health care needs and children in general.

Quantifying Income-related Inequality in Healthcare Delivery in the United States

BackgroundNumerous studies have found that high-income Americans use more medical care than their low-income counterparts, irrespective of medical “need.” The methods employed in these studies, however, make it difficult to evaluate differences in the degree of income-related inequality in utilization across population subgroups. In this study, we derive a summary index to quantify income-related inequality in need-adjusted medical care expenditures and report values of the index for adults and children in the United States. MethodsWe used the summary index of income-related inequality in expenditures developed by Wagstaff et al. 1 The source of data for the study was the Household Component of the 1996–1998 Medical Expenditure Panel Survey, which contains person-level data on medical care expenditures, demographic characteristics, household income, and a wide array of health status measures. We used multivariate regression analysis to predict need-adjusted annual medical care expenditures per person by income level and used the predictions to calculate the indices of inequality. Separate indices were calculated for all adults, working-age adults, seniors, and children ages 5 to 17. ResultsFor all age groups, predicted expenditures per person, adjusted for medical need, generally increased as income rose. The index of inequality for all adults was +0.087 (95% confidence interval, +0.035, +0.139); for working-age adults, +0.099 (+0.046, +0.152); for seniors, +0.147 (+0.059, +0.235); and for children, +0.067 (+0.006, +0.128). ConclusionsThere exists income-related inequality in medical care expenditures in the United States, and it favors the wealthy. The inequality is highest among seniors despite Medicare, intermediate among working-age adults, and lowest among children.

Quality measures for primary care of complex pediatric patients

OBJECTIVES: A well-recognized gap exists in assessing and improving the quality of care for medically complex patients. Our objective was to examine evidence for primary care based on the patient-centered medical home model and to identify valid and meaningful quality measures for use in complex pediatric patients. METHODS: We conducted literature searches on Medline and the National Quality Measures Clearinghouse for existing measures, as well as evidence to inform the development of new quality measures. We used a 3-step process to select relevant sources from published literature: (1) the titles were screened by 2 independent reviewers; (2) the abstracts were reviewed for quality-of-care contents or constructs; and (3) full-text articles were obtained and reviewed for measure specification. All materials were reviewed for the Oxford Centre For Evidence-Based Medicine level of evidence and for relevance to primary care of complex pediatric patients. A national expert panel was convened to evaluate and rate the measures by using the Rand/University of California Los Angeles Appropriateness Method. RESULTS: We presented 74 quality measures to the expert panel for review and discussion. The panel rated and accepted 35 measures as valid and feasible for assessing primary care quality in complex pediatric patients. The final set of quality measures was grouped in the following domains: primary care–general (14), patient/family-centered care (8), chronic care (2), coordination of care (9), and transition of care (2). CONCLUSIONS: By using the patient-centered medical home framework of accessible, continuous, family-centered, coordinated, and culturally effective care, a national expert panel selected 35 primary care quality measures for complex pediatric patients.

Comparison of Secondary Prevention Care after Myocardial Infarction and Stroke

Background: Whether secondary prevention of atherosclerosis is performed as frequently after cerebrovascular events (stroke or transient ischemic attack) as after cardiac events (myocardial infarction or angina) is unknown. Methods: We compared the receipt of six secondary preventive care processes among 943 persons with a prior cardiac event to that among 523 persons with a prior cerebrovascular event using a representative sample of the US population. Results: The cardiac event group had higher rates for three care processes: antithrombotic medication use in the past year (83–77%, p = 0.01), ever advised to exercise more (66–52%, p < 0.001), and ever advised to eat fewer high-fat or high-cholesterol foods (70–54%, p < 0.001). Conclusions: Compared to the cardiac event group, the quality of care of the cerebrovascular event group is lower and should be improved.

Differences in CAHPS Reports and Ratings of Health Care Provided to Adults and Children

Background:Consumer assessment of health care is an important metric for evaluating quality of care. These assessments can help purchasers, health plans, and providers deliver care that fits patients’ needs. Objective:To examine differences in reports and ratings of care delivered to adults and children and whether they vary by site. Research Design:This observational study compares adult and child experiences with care at a large west coast medical center and affiliated clinics and a large mid-western health plan using Consumer Assessment of Healthcare Providers and Systems Clinician & Group 1.0 Survey data. Results:Office staff helpfulness and courtesy was perceived more positively for adult than pediatric care in the west coast site. In contrast, more positive perceptions of pediatric care were observed in both sites for coordination of care, shared decision making, overall rating of the doctor, and willingness to recommend the doctor to family and friends. In addition, pediatric care was perceived more positively in the mid-west site for access to care, provider communication, and office staff helpfulness and courtesy. The differences between pediatric care and adult care were larger in the mid-western site than the west coast site. Conclusions:There are significant differences in the perception of care for children and adults with care provided to children tending to be perceived more positively. Further research is needed to identify the reasons for these differences and provide more definitive information at sites throughout the United States.