Families with CSHCN experience much higher expenditures, including out-of-pocket expenditures, than other children. Insurance plays an important protective role for families of CSHCN, but it still provides incomplete protection. Health policy changes that would extend the breadth and depth of insurance coverage are needed to ensure that all families of CSHCN are protected against burdensome expenses.

The skewed distribution of out-of-pocket expenses found in this and earlier studies indicates that the financial burden of childhood disability continues to be shared unevenly by families. Low-income families are especially vulnerable to burdensome out-of-pocket expenses. Additional efforts are needed to protect these high-risk families.

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 Children's 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.

BACKGROUND: Few studies have examined whether patients with language barriers receive worse hospital care in terms of quality or efficiency. OBJECTIVE: To examine whether patients' primary language influences hospital outcomes. DESIGN AND SETTING: Observational cohort of urban university hospital general medical admissions between July 1, 2001 to June 30, 2003. PATIENTS: Eighteen years old or older whose hospital data included information on their primary language, specifically English, Russian, Spanish or Chinese. MEASUREMENTS: Hospital costs, length of stay (LOS), and odds for 30‐day readmission or 30‐day mortality. RESULTS: Of 7023 admitted patients, 84% spoke English, 8% spoke Chinese, 4% Russian and 4% Spanish. In multivariable models, non‐English and English speakers had statistically similar total cost, LOS, and odds for mortality. However, non‐English speakers had higher adjusted odds of readmission (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.0‐1.7). Higher odds for readmission persisted for Chinese and Spanish speakers when compared to all English speakers (OR, 1.7; 95% CI, 1.2‐2.3 and OR, 1.5; 95% CI, 1.0‐2.3 respectively). CONCLUSIONS: After accounting for socioeconomic variables and comorbidities, non‐English speaking Latino and Chinese patients have higher risk for readmission. Whether language barriers produce differences in readmission or are a marker for less access to post‐hospital care remains unclear. Journal of Hospital Medicine 2010;5:276–282. © 2010 Society of Hospital Medicine.

Background: We measured the perception of breast, cervical, and colon cancer risks and screening in diverse women to examine the association between risk perception and screening behavior. Methods: Cross-sectional telephone and in-person interviews of women aged 50 to 80 years were conducted in English, Spanish, or Chinese. The women were recruited from primary care practices in San Francisco, California (academic general internal medicine, family medicine, women's health practices, a community-based clinic in Chinatown, and the Community Health Network Clinics, which is affiliated with the San Francisco Department of Public Health), with at least 1 visit within the previous 2 years. Perceived personal risk for each cancer was measured on a word scale (no risk to very high risk) and compared with self-reported screening behavior by ethnicity. Results: A total of 1160 women participated: 338 (29%) were White, 167 (14%) were African American, 239 (21%) were Latina, and 416 (36%) were Asian. The average participant was 61 years old and a high school graduate; 18% had a personal history of cancer, and 42% had a family history of cancer. The perceived lifetime risk of cancer varied by ethnicity. Compared with White women, Latinas had a higher perceived risk for cervical cancer (odds ratio [OR], 2.9; 95% confidence interval [CI], 1.8-4.6) and colon cancer (OR, 3.0; 95% CI, 1.8-5.0) after multivariate adjustment, and Asians had a lower perceived risk for cervical cancer (OR, 0.6; 95% CI, 0.4-0.9) and colon cancer (OR, 0.6; 95% CI, 0.3-0.9). Higher colon cancer risk perception was associated with having undergone colonoscopy within 10 years (OR, 2.8; 95% CI, 1.4-5.4). Conclusions: Risk perception was significantly associated with colon cancer screening behavior (P = .001). Evaluation of patients' perceived risk of cancer may be useful to clinicians who are recommending screening tests.

Socioeconomic disparities exist in the financial burden of OOP health care expenditures for families with children. For low-income families, full-year public coverage provides significantly greater protection from financial burden than full-year private coverage.

Previous studies have shown that lifestyle modification can successfully prevent or delay development of type 2 diabetes. This trial aimed to test if an underserved, low-income population would engage in a digital diabetes prevention program and successfully achieve lifestyle changes to reduce their risk of type 2 diabetes.Participants were recruited from three health care facilities serving low-income populations. The inclusion criteria were: a recent blood test indicating prediabetes, body mass index (BMI) > 24 kg/m2, age 18–75 years, not pregnant, not insured, Medicaid insured or Medicaid-eligible, internet or smartphone access, and comfort reading and writing in English or Spanish. A total of 230 participants were enrolled and started the intervention. Participants' average age was 48 years, average BMI = 34.8, average initial HbA1c = 5.8, 81% were female, and 45% were Spanish speaking. Eighty percent had Medicaid insurance, 18% were uninsured, and 2% were insured by a medical safety net plan.Participants completed a health assessment including measured anthropometrics, HbA1c test, and self-report questionnaires at baseline, 6 and 12 months. The 52-week digital diabetes prevention program included weekly educational curriculum, human health coaching, connected tracking tools, and peer support from a virtual group. Qualitative data on implementation was collected with semi-structured interviews with key informants to understand the barriers, keys to success, and best practices in the adoption of the program within the clinical setting.This paper describes the study design and methodology of a digital diabetes prevention program and early lessons learned related to recruitment, enrollment, and data collection.

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