Dataset Information

Effects of citizenship status, Latino ethnicity, and household language on health insurance coverage for U.S. adolescents, 2007-2016.

ABSTRACT: OBJECTIVE/STUDY QUESTION:To examine changes in uninsurance rates among U.S. adolescents ages 12-17 and assess whether trends over time differed by citizenship status, Latino ethnicity, and household language. DATA SOURCES/STUDY SETTING:2007-2016 National Health Insurance Survey (NHIS). STUDY DESIGN:Multivariable logistic regression and postestimation marginal effects were used to assess changes in the current uninsured rate. Logistic regression models were used to determine significant trends over time for each demographic group and compare them to trends in the broader adolescent population. Marginal effects were employed to calculate adjusted outcome probabilities for each year. PRINCIPAL FINDINGS:Across all 12- to 17-year-olds, the unadjusted uninsured rate dropped significantly between 2007 and 2016, from 10.2 percent to 6.0 percent. For noncitizen youth, the probability of being uninsured increased from 26.6 percent in 2007 to 28.4 percent in 2016, after controlling for covariates. Latino youth and those in Spanish-speaking households saw declines in their adjusted uninsurance rate that was proportional to non-Latino and English-speaking youth. CONCLUSIONS:Most adolescents saw significant improvements in health insurance coverage between 2007 and 2016; however, disparities remain among Spanish-speaking and Latino adolescents and no improvements were seen among noncitizen youth. This suggests a need for equity-focused eligibility, outreach, and enrollment policies that expand insurance options for these populations.

SUBMITTER: Knipper SH

PROVIDER: S-EPMC6863242 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Effects of citizenship status, Latino ethnicity, and household language on health insurance coverage for U.S. adolescents, 2007-2016.

Knipper Sarah H SH Rivers Wesley W Goodman Julia M JM

Health services research 20190805 6

<h4>Objective/study question</h4>To examine changes in uninsurance rates among U.S. adolescents ages 12-17 and assess whether trends over time differed by citizenship status, Latino ethnicity, and household language.<h4>Data sources/study setting</h4>2007-2016 National Health Insurance Survey (NHIS).<h4>Study design</h4>Multivariable logistic regression and postestimation marginal effects were used to assess changes in the current uninsured rate. Logistic regression models were used to determine ...[more]

PMID: 31385302

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Project description:ImportanceThe association of state-level immigrant policies with uninsurance among Latino youths remains unknown.ObjectiveTo assess the association of state-level immigrant integration and criminalization policies with health insurance coverage among US-born Latino youths by maternal citizenship.Design, setting, and participantsThis cross-sectional study analyzed secondary data from the American Community Survey, January 1, 2016, to December 31, 2018, for US-born Latino youths (age, ≤17 years) and their mothers (age, 18-64 years) as well as state-level indicators of immigrant integration and criminalization policies (in all 50 states and the District of Columbia).ExposuresImmigrant integration and criminalization policies.Main outcomes and measuresThe main outcome was maternal reports of youth uninsurance status at the time of the American Community Survey interview. Variation in youth uninsurance by maternal citizenship, state immigrant integration policy context, and state immigrant criminalization policy context were examined. All analyses were conducted with weighted survey data.ResultsOf the 226 691 US-born Latino youths (115 431 [50.92%] male; mean [SD] age, 7.66 [4.92] years) included in the study, 36.64% (95% CI, 36.21%-36.92%) had noncitizen mothers. Overall, 7.09% (95% CI, 6.78%-7.41%) of noncitizen mothers reported that their youths were uninsured compared with 4.68% (95% CI, 4.49%-4.88%) of citizen mothers. Of uninsured youths who resided in states with a low level of immigrant integration policies, 9.10% (8.22%-10.06%) had noncitizen mothers and 4.75% (95% CI, 4.19%-5.37%) had citizen mothers; of uninsured youths who resided in states with high criminalization policies, 9.37% (95% CI, 8.90%-9.87%) had noncitizen mothers and 5.91% (95% CI, 5.64%-6.20%) had citizen mothers. In states with few immigrant integration policies, the probability of uninsurance among youths with noncitizen mothers was 3.3% (95% CI, 2.3%-4.4%) higher than that among youths with citizen mothers. Among youths with noncitizen mothers, the difference in the probability of uninsurance between those residing in states with a low level vs a high level of immigrant integration policies was 2.1% (95% CI, 0.6%-3.6%). Among youths residing in states with high levels of immigrant criminalization policies, those with noncitizen mothers had a 2.6% (95% CI, 1.9%-3.0%) higher probability of being uninsured compared with those whose mothers were citizens. Among youths with noncitizen mothers, the difference in the probability of uninsurance between those who resided in a state with a low level vs a state with a high level of immigrant criminalization policies was 1.7% (95% CI, 0.7%-2.7%).Conclusions and relevanceThe findings of this cross-sectional study suggest that among US-born Latino youths, disparities in uninsurance by maternal citizenship are associated with state-level immigrant integration and criminalization policies and that anti-immigrant policies may be associated with disparities in health care access for US-born Latino youths.

Project description:BackgroundIn the USA, people with limited English proficiency (LEP) disproportionately experience gaps in health insurance coverage and access to care. The Patient Protection and Affordable Care Act (ACA) of 2010 included reforms that could improve these outcomes.ObjectiveTo describe changes in insurance coverage and access to health care by English language proficiency over 2006-2016.DesignWe used regression models to estimate changes in coverage and access after 2010 for adults with high vs. limited English proficiency, adjusting for socio-economic status, demographic characteristics, and health care needs. We used difference-in-differences models to assess adjusted changes in disparities by English proficiency after 2010. Supplemental analyses used nearest-neighbor propensity score matching to balance the characteristics of respondents.ParticipantsRespondents aged 18-64 in the Medical Expenditure Panel Survey over 2006-2016, with high (n = 174,214) or limited (n = 16,484) English language proficiency.Main measuresInsurance coverage was a binary variable indicating any health insurance coverage during the past 12 months. Access to care was measured using binary variables indicating whether the respondent had a usual source of care and received necessary medical, dental, and preventive care.Key resultsGains in health insurance coverage after 2010 were significant for adults with high English proficiency (1.7 percentage points, p < 0.001) and adults with limited English proficiency (4.6 percentage points, p = 0.007); gains did not significantly vary by English proficiency. Adults with LEP showed larger improvements than adults with high English proficiency in having a usual source of care (5 percentage points, p = 0.007) and receiving needed medical care and dental care (1.4 percentage points, p = 0.013, and 2.8 percentage points, p = 0.009, respectively). Findings remained similar when matching was used to balance the measured characteristics of respondents with high vs. limited English proficiency.ConclusionsDisparities in health care access by English proficiency narrowed after 2010, the year of passage of the ACA.

Project description:INTRODUCTION:Influenza is a major cause of morbidity and mortality among adults. The most effective strategy for preventing influenza is annual vaccination. However, vaccination coverage has been suboptimal among adult populations. The purpose of this study is to assess trends in influenza vaccination among adult populations. METHODS:Data from the 2010-2016 National Health Interview Survey were analyzed in 2018 to estimate vaccination coverage during the 2010-2011 through 2015-2016 seasons. Trends of vaccination in recent years were assessed. Vaccination coverage by race/ethnicity within each group was examined. Multivariable logistic regression and predictive marginal models were conducted to identify factors associated with vaccination, and interactions between race/ethnicity and other demographic and access-to-care characteristics were assessed. RESULTS:Vaccination coverage among adults aged ?18 years increased from 38.3% in the 2010-2011 season to 43.4% in the 2015-2016 season, with an average increase of 1.3 percentage points annually. From the 2010-2011 through 2015-2016 seasons, coverage was stable for adults aged ?65 years and changed by -0.1 to 9.9 percentage points for all other examined subgroups. Coverage in 2015-2016 was 70.4% for adults aged ?65 years, 46.4% for those aged 50-64 years, and 32.3% for those aged 18-49 years; 47.9% for people aged 18-64 years with high-risk conditions; 64.8% for healthcare personnel; and 50.3% for pregnant women. Among adults aged ?18 years for the 2015-2016 season, coverage was significantly lower among non-Hispanic blacks and Hispanics compared with non-Hispanic whites. CONCLUSIONS:Overall, influenza vaccination coverage among adults aged ?18 years increased during 2010-2016, but it remained below the national target of 70%. Vaccination coverage varied by age, risk status, race/ethnicity, healthcare personnel, and pregnancy status. Targeted efforts are needed to improve coverage and reduce disparities.

Project description:BackgroundHealthcare disparities are well documented across multiple subspecialties in orthopaedics. The widespread implementation of telemedicine risks worsening these disparities if not carefully executed, despite original assumptions that telemedicine improves overall access to care. Telemedicine also poses unique challenges such as potential language or technological barriers that may alter previously described patterns in orthopaedic disparities.Questions/purposesAre the proportions of patients who use telemedicine across orthopaedic services different among (1) racial and ethnic minorities, (2) non-English speakers, and (3) patients insured through Medicaid during a 10-week period after the implementation of telemedicine in our healthcare system compared with in-person visits during a similar time period in 2019?MethodsThis was a retrospective comparative study using electronic medical record data to compare new patients establishing orthopaedic care via outpatient telemedicine at two academic urban medical centers between March 2020 and May 2020 with new orthopaedic patients during the same 10-week period in 2019. A total of 11,056 patients were included for analysis, with 1760 in the virtual group and 9296 in the control group. Unadjusted analyses demonstrated patients in the virtual group were younger (median age 57 years versus 59 years; p < 0.001), but there were no differences with regard to gender (56% female versus 56% female; p = 0.66). We used self-reported race or ethnicity as our primary independent variable, with primary language and insurance status considered secondarily. Unadjusted and multivariable adjusted analyses were performed for our primary and secondary predictors using logistic regression. We also assessed interactions between race or ethnicity, primary language, and insurance type.ResultsAfter adjusting for age, gender, subspecialty, insurance, and median household income, we found that patients who were Hispanic (odds ratio 0.59 [95% confidence interval 0.39 to 0.91]; p = 0.02) or Asian were less likely (OR 0.73 [95% CI 0.53 to 0.99]; p = 0.04) to be seen through telemedicine than were patients who were white. After controlling for confounding variables, we also found that speakers of languages other than English or Spanish were less likely to have a telemedicine visit than were people whose primary language was English (OR 0.34 [95% CI 0.18 to 0.65]; p = 0.001), and that patients insured through Medicaid were less likely to be seen via telemedicine than were patients who were privately insured (OR 0.83 [95% CI 0.69 to 0.98]; p = 0.03).ConclusionDespite initial promises that telemedicine would help to bridge gaps in healthcare, our results demonstrate disparities in orthopaedic telemedicine use based on race or ethnicity, language, and insurance type. The telemedicine group was slightly younger, which we do not believe undermines the findings. As healthcare moves toward increased telemedicine use, we suggest several approaches to ensure that patients of certain racial, ethnic, or language groups do not experience disparate barriers to care. These might include individual patient- or provider-level approaches like expanded telemedicine schedules to accommodate weekends and evenings, institutional investment in culturally conscious outreach materials such as advertisements on community transport systems, or government-level provisions such as reimbursement for telephone-only encounters.Level of evidenceLevel III, therapeutic study.

Project description:IntroductionSince 2007, HPV vaccine has been available to low and middle income countries (LAMIC) for small-scale 'demonstration projects', or national programmes. We analysed coverage achieved in HPV vaccine demonstration projects and national programmes that had completed at least 6 months of implementation between January 2007-2016.MethodsA mapping exercise identified 45 LAMICs with HPV vaccine delivery experience. Estimates of coverage and factors influencing coverage were obtained from 56 key informant interviews, a systematic published literature search of 5 databases that identified 61 relevant full texts and 188 solicited unpublished documents, including coverage surveys. Coverage achievements were analysed descriptively against country or project/programme characteristics. Heterogeneity in data, funder requirements, and project/programme design precluded multivariate analysis.ResultsEstimates of uptake, schedule completion rates and/or final dose coverage were available from 41 of 45 LAMICs included in the study. Only 17 estimates from 13 countries were from coverage surveys, most were administrative data. Final dose coverage estimates were all over 50% with most between 70% and 90%, and showed no trend over time. The majority of delivery strategies included schools as a vaccination venue. In countries with school enrolment rates below 90%, inclusion of strategies to reach out-of-school girls contributed to obtaining high coverage compared to school-only strategies. There was no correlation between final dose coverage and estimated recurrent financial costs of delivery from cost analyses. Coverage achieved during joint delivery of HPV vaccine combined with another intervention was variable with little/no evaluation of the correlates of success.ConclusionsThis is the most comprehensive descriptive analysis of HPV vaccine coverage in LAMICs to date. It is possible to deliver HPV vaccine with excellent coverage in LAMICs. Further good quality data are needed from health facility based delivery strategies and national programmes to aid policymakers to effectively and sustainably scale-up HPV vaccination.

Project description:Vaccine-preventable diseases (VPDs) cause substantial morbidity and mortality in the United States Affiliated Pacific Islands (USAPI).* CDC collaborates with USAPI immunization programs to monitor vaccination coverage. In 2016, † USAPI immunization programs and CDC piloted a method for estimating up-to-date status among children aged 2 years using medical record abstraction to ascertain regional vaccination coverage. This was the first concurrent assessment of childhood vaccination coverage across five USAPI jurisdictions (American Samoa; Chuuk State, Federated States of Micronesia [FSM]; Commonwealth of the Northern Mariana Islands [CNMI]; Republic of the Marshall Islands [RMI]; and Republic of Palau).§ Differences in vaccination coverage between main and outer islands¶ were assessed for two jurisdictions where data were adequate.** Series coverage in this report includes the following doses of vaccines: ?4 doses of diphtheria and tetanus toxoids and acellular pertussis vaccine (DTaP); ?3 doses of inactivated poliovirus vaccine (IPV); ?1 dose of measles, mumps, and rubella vaccine (MMR); ?3 doses of Haemophilus influenzae type B (Hib) vaccine; ?3 doses of hepatitis B (HepB) vaccine; and ?4 doses of pneumococcal conjugate vaccine (PCV); i.e., 4:3:1:3:3:4. Coverage with ?3 doses of rotavirus vaccine was also assessed. Completion of the recommended series of each of these vaccines†† was <90% in all jurisdictions except Palau. Coverage with the full recommended six-vaccine series (4:3:1:3:3:4) ranged from 19.5% (Chuuk) to 69.1% (Palau). In RMI and Chuuk, coverage was lower in the outer islands than in the main islands for most vaccines, with differences ranging from 0.9 to 66.8 percentage points. Medical record abstraction enabled rapid vaccination coverage assessment and timely dissemination of results to guide programmatic decision-making. Effectively monitoring vaccination coverage, coupled with implementation of data-driven interventions, is essential to maintain protection from VPD outbreaks in the region and the mainland United States.

Dataset Information

Effects of citizenship status, Latino ethnicity, and household language on health insurance coverage for U.S. adolescents, 2007-2016.

Publications

Effects of citizenship status, Latino ethnicity, and household language on health insurance coverage for U.S. adolescents, 2007-2016.

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