Susmita Pati

Health Care Expenditures of Immigrants in the United States: A Nationally Representative Analysis

OBJECTIVES We compared the health care expenditures of immigrants residing in the United States with health care expenditures of US-born persons. METHODS We used the 1998 Medical Expenditure Panel Survey linked to the 1996-1997 National Health Interview Survey to analyze data on 18398 US-born persons and 2843 immigrants. Using a 2-part regression model, we estimated total health care expenditures, as well as expenditures for emergency department (ED) visits, office-based visits, hospital-based outpatient visits, inpatient visits, and prescription drugs. RESULTS Immigrants accounted for

How Well Can Hospital Readmission Be Predicted in a Cohort of Hospitalized Children? A Retrospective, Multicenter Study

39.5 billion (SE=

Effectiveness of Developmental Screening in an Urban Setting

4 billion) in health care expenditures. After multivariate adjustment, per capita total health care expenditures of immigrants were 55% lower than those of US-born persons (

The Generation Gap: Differences Between Children and Adults Pertinent to Economic Evaluations of Health Interventions

1139 vs

Insurance Gaps Among Vulnerable Children in the United States, 1999–2001

2546). Similarly, expenditures for uninsured and publicly insured immigrants were approximately half those of their US-born counterparts. Immigrant children had 74% lower per capita health care expenditures than US-born children. However, ED expenditures were more than 3 times higher for immigrant children than for US-born children. CONCLUSIONS Health care expenditures are substantially lower for immigrants than for US-born persons. Our study refutes the assumption that immigrants represent a disproportionate financial burden on the US health care system.

Identifying Infants at Increased Risk for Late Initiation of Immunizations: Maternal and Provider Characteristics

BACKGROUND. Children with complex chronic conditions depend on both their families and systems of pediatric health care, social services, and financing. Investigations into the workings of this ecology of care would be advanced by more accurate methods of population-level predictions of the likelihood for future hospitalization. METHODS. This was a retrospective cohort study. Hospital administrative data were collected from 38 childrens hospitals in the United States for the years 2003–2005. Participants included patients between 2 and 18 years of age discharged from an index hospitalization during 2004. Patient characteristics documented during the index hospitalization or any previous hospitalization during the preceding 365 days were included. The main outcome measure was readmission to the hospital during the 365 days after discharge from the index admission. RESULTS. Among the cohort composed of 186856 patients discharged from the participating hospitals during 2004, the mean age was 9.2 years, with 54.4% male and 52.9% identified as non-Hispanic white. A total of 17.4% were admitted during the previous 365 days, and among those discharged alive (0.6% died during the admission), 16.7% were readmitted during the ensuing 365 days. The final readmission model exhibited a c statistic of 0.81 across all hospitals, with a range from 0.76 to 0.84 for each hospital. Bootstrap-based assessments demonstrated the stability of the final model. CONCLUSIONS. Accurate population-level prediction of hospital readmissions is possible, and the resulting predicted probability of hospital readmission may prove useful for health services research and planning.

Changes in use of health insurance and food assistance programs in medically underserved communities in the era of welfare reform: an urban study.

OBJECTIVE: To determine the effectiveness of developmental screening on the identification of developmental delays, early intervention (EI) referrals, and EI eligibility. METHODS: This randomized controlled, parallel-group trial was conducted from December 2008 to June 2010 in 4 urban pediatric practices. Children were eligible if they were <30 months old, term, without congenital malformations or genetic syndromes, not in foster care, and not enrolled in EI. Children were randomized to receive 1 of the following: (1) developmental screening using Ages and Stages Questionnaire-II (ASQ-II and Modified Checklist for Autism in Toddlers (M-CHAT) with office staff assistance, (2) developmental screening using ASQ-II and M-CHAT without office staff assistance, or (3) developmental surveillance using age-appropriate milestones at well visits. Outcomes were assessed using an intention-to-treat analysis. RESULTS: A total of 2103 children were enrolled. Most were African-American with family incomes less than

Challenges to implementation of developmental screening in urban primary care: a mixed methods study.

30 000. Children in either screening arm were more likely to be identified with delays (23.0% and 26.8% vs 13.0%; P < .001), referred to EI (19.9% and 17.5% vs 10.2%; P < .001), and eligible for EI services (7.0% and 5.3% vs 3.0%; P < .001) than children in the surveillance arm. Children in the screening arms incurred a shorter time to identification, EI referral, and EI evaluation than children in the surveillance arm. CONCLUSIONS: Children who participated in a developmental screening program were more likely to be identified with developmental delays, referred to EI, and eligible for EI services in a timelier fashion than children who received surveillance alone. These results support policies endorsing developmental screening.

Influence of Maternal Health Literacy on Child Participation in Social Welfare Programs: The Philadelphia Experience

AbstractDifferences between children and adults have both technical and ethical implications for the design, interpretation and employment of economic analyses of health-related programmes. Even though policy makers increasingly turn to economic analyses to inform decisions about resource allocation, pertinent child-adult differences have received fragmented discussion in leading methodological references.Key areas warranting attention include: the ways in which a child’s distinctive biology modifies the cost and effectiveness of healthcare interventions; challenges in assessing utilities for infants and young children given their limited but developing cognitive capacity; how a child’s age, dependency and disability affect the selection of the appropriate time horizon and scope of the analysis; whether a child’s non-wage earning productivity should be incorporated into analyses, and if so, what metric to use; what principles of equity policy makers should employ in using economic evaluations to choose between child- and adult-focused interventions; and whether special protective measures should be introduced to secure the rights and interests of children who cannot advocate for themselves.

Impact of Physical Activity Intervention Programs on Self-Efficacy in Youths: A Systematic Review

Objective. To quantify the number of children who experience gaps in insurance coverage and to determine whether vulnerable subgroups of children experience noteworthy lapses in insurance coverage. Methods. We analyzed nationally representative data from 24149 children sampled in the 1999–2001 Medical Expenditure Panel Survey linked to the 1997–1999 National Health Interview Survey. Vulnerable subgroups of children included children with chronic conditions, those from ethnic/racial minorities, and those living in poverty. On the basis of cumulative annual monthly insurance coverage status, each child fell into 1 of 3 groups: continuous coverage, uninsured, or gaps in coverage. Using SAS-callable SUDAAN, we conducted multivariate ordinal logistic regression model to quantify the likelihood of having gaps in coverage for vulnerable subgroups of children. Results. From 1999 to 2001, we found that >9 million American children annually had gaps in coverage and that 5 to 6 million children annually were uninsured for the entire year. Sixty percent of children experienced gaps of at least 4 months, and >40% of all publicly and privately insured children had coverage gaps. After accounting for relevant covariates, children with chronic conditions were just as likely as other children to have gaps in coverage or be uninsured; Hispanic children were most likely to have insurance gaps or be uninsured; and children from poor and near-poor families were 4 to 5 times more likely to have lapsed coverage than children from high-income families. Poverty and maternal education were the strongest factors associated with lapsed coverage. Conclusions. Unstable health insurance is an underrecognized problem for children, including those with chronic conditions. Because unstable insurance coverage can lead to inadequate health care utilization and poor child health outcomes, strategies to promote stable insurance coverage merit serious consideration.