Trends in Childhood Influenza Vaccination Coverage—U.S., 2004–2012

Objective

We compared estimates of childhood influenza vaccination coverage by health status, age, and racial/ethnic group across eight consecutive influenza seasons (2004 through 2012) based on two survey systems to assess trends in childhood influenza vaccination coverage in the U.S.

Methods

We used National Health Interview Survey (NHIS) and National Immunization Survey-Flu (NIS-Flu) data to estimate receipt of at least one dose of influenza vaccination among children aged 6 months to 17 years based on parental report. We computed estimates using Kaplan-Meier survival analysis methods.

Results

Based on the NHIS, overall influenza vaccination coverage with at least one dose of influenza vaccine among children increased from 16.2% during the 2004–2005 influenza season to 47.1% during the 2011–2012 influenza season. Children with health conditions that put them at high risk for complications from influenza had higher influenza vaccination coverage than children without these health conditions for all the seasons studied. In seven of the eight seasons studied, there were no significant differences in influenza vaccination coverage between non-Hispanic black and non-Hispanic white children. Influenza vaccination coverage estimates for children were slightly higher based on NIS-Flu data compared with NHIS data for the 2010–2011 and 2011–2012 influenza seasons (4.1 and 4.4 percentage points higher, respectively); both NIS-Flu and NHIS estimates had similar patterns of decreasing vaccination coverage with increasing age.

Conclusions

Although influenza vaccination coverage among children continued to increase, by the 2011–2012 influenza season, only slightly less than half of U.S. children were vaccinated against influenza. Much improvement is needed to ensure all children aged ≥6 months are vaccinated annually against influenza.Recommendations to vaccinate children against influenza began in 1960, when people with certain health conditions that put them at increased risk of severe illness from influenza were recommended to receive annual influenza vaccination, implicitly including children with high-risk conditions.¹ The recommendations for influenza vaccination of children remained unchanged until 2002, when providers were encouraged to vaccinate all children aged 6–23 months, regardless of medical conditions,² and in 2004, when all children aged 6–23 months were explicitly recommended for vaccination.³ In 2006, the influenza recommendations were expanded to include annual vaccination for all children aged 6–59 months.⁴ Recommendations were further expanded in 2008 to include annual vaccination of all children aged 6 months to 18 years.⁵Since the 2010–2011 influenza season, annual influenza vaccination has been recommended for all people aged 6 months and older.⁶ Children aged 6 months to 8 years should receive two doses of influenza vaccine, spaced four weeks apart, during their first season of vaccination and then one dose per season in subsequent seasons.⁷ During inter-pandemic seasons through 2011–2012, trivalent influenza vaccine was available, providing protection against two influenza A subtypes and one type B strain. During the 2009–2010 influenza season, two influenza vaccines were recommended: the trivalent seasonal influenza vaccination and the pandemic influenza A(H1N1)pdm09 (pH1N1) monovalent vaccination.⁸The National Health Interview Survey (NHIS) and the National Immunization Survey-Flu (NIS-Flu) have been the primary surveys used to measure influenza vaccination coverage among children. NHIS, an in-person household survey, began collecting parental report of influenza vaccination in 2005.⁹ NHIS has been considered the most representative source for estimates of influenza vaccination coverage among children aged 6 months to 17 years and has served as the Healthy People data source for influenza vaccination estimates.¹⁰ NHIS, however, has not routinely allowed for state-level estimates and is not timely enough to enable the reporting of influenza estimates before the beginning of the next influenza season. NIS-Flu is an ongoing telephone survey of households with children aged 6 months to 17 years. National and state-level estimates of influenza vaccination coverage for children based on parental-reported vaccination status from NIS-Flu have been reported by fall of the subsequent influenza vaccination season.^11,12The aims of this study were to (1) examine estimates of childhood influenza vaccination coverage over time by age, race/ethnicity, and high-risk status; and (2) compare estimates from NHIS and NIS-Flu, the two main survey systems currently used to measure influenza vaccination coverage among children in the U.S.     

Changing SNAP-Participation Trends Among Farmworker Households in the U.S., 2003–2012

We investigated Supplemental Nutrition Assistance Program (SNAP) participation among citizen, documented and undocumented immigrant hired crop farmworkers for ten recent years. We analyzed population representative data from the National Agricultural Workers Survey for 2003–2012 (N?=?18,243 households). Time-chart, simple mean differences, and logistic regressions described farmworker household participation in SNAP. The 2008 financial crisis almost doubled SNAP-participation by agriculture households (6.5% in 2003–2007 vs. 11.3% in 2008–2012). The increasing SNAP-participation was found for citizen, documented and undocumented immigrant households. We found low participation among documented (OR 0.67, 95% CI 0.56–0.8) and undocumented immigrants (OR 0.63, 95% CI 0.54–0.74) compared to citizens. Low odds ratios (OR 0.70, 95% CI 0.55–0.89) were found for Hispanic-citizens as compared with non-Hispanic white-citizens. Our results may help inform the debate surrounding the effects of the financial crisis on SNAP-participation and on differences in participation among citizens, immigrants, Hispanics and non-Hispanics, the latter suggesting ethnic farmworker disparities in SNAP-participation.     

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HIV Screening Practices and Hospital Characteristics in the U.S., 2009–2010

Objectives

The Centers for Disease Control and Prevention recommends HIV screening in U.S. health-care settings unless providers document a yield of undiagnosed HIV infections of <1 per 1,000 population. However, implementation of this guidance has not been widespread and little is known of the characteristics of hospitals with screening practices in place. We assessed how screening practices vary with hospital characteristics.

Methods

We used a national hospital survey of HIV testing practices, linked to HIV prevalence for the county, parish, borough, or city where the hospital was located, to assess HIV screening of some or all patients by hospitals. We used multivariate logistic regression analysis to assess the association between screening practices and hospital characteristics that were significantly associated with screening in bivariate analyses.

Results

Of 376 hospitals in areas of prevalence ≥0.1%, only 25 (6.6%) reported screening all patients for HIV and 131 (34.8%) reported screening some or all patients. Among 638 hospitals included, screening some or all patients was significantly (p<0.05) more common at teaching hospitals, hospitals with higher numbers of annual admissions, and hospitals with a high proportion of Medicaid admissions. In multivariable analysis, screening some or all patients was independently associated with admitting more than 15% of Medicaid patients and receiving resources or reimbursement for screening tests.

Conclusion

We found that few hospitals surveyed reported screening some or all patients, and failure to screen is common across all types of hospitals in all regions of the country. Expanded reimbursement for screening may increase compliance with the recommendations.Of the 1.2 million people in the United States who are infected with human immunodeficiency virus (HIV), it is estimated that 20% are unaware of their infection.¹ Early diagnosis of HIV infection allows infected people to obtain treatment that can prolong the quality and duration of their lives and can lead to reductions in high-risk behaviors and HIV transmission.^2–8 More generally, HIV infection satisfies the usual criteria for routine screening for infectious disease: it is a serious health disorder that can be diagnosed before symptoms appear; it can be detected by a reliable, noninvasive test; there are great potential health benefits to early detection; and the benefits of detection are large relative to the cost of screening.⁹ For these reasons, and to reduce the number of undiagnosed people living with HIV, in 2006 the Centers for Disease Control and Prevention (CDC) recommended HIV screening in all health-care settings for all individuals aged 13–64 years, regardless of risk, seen at facilities with an HIV prevalence of undiagnosed infections ≥0.1% among a sample of patients, and annual screening for patients known to be at risk for HIV infection.¹⁰Previous research has shown that the teaching status and size of hospitals, as well as the region and type of metropolitan area in which they are located, are associated with the availability of HIV testing in hospitals.¹¹ However, there are few published data about hospital characteristics that are associated with the adoption of CDC''s revised testing recommendations, and existing studies do not consider the impact of external factors, such as state regulations or third-party reimbursement policies, that might influence whether hospitals adopt the testing guidelines. Also unknown is how the screening practices of hospitals that serve larger proportions of low-income and minority patients compare with the practices of other hospitals.To address these open questions, we assessed the association between characteristics of hospitals and adoption of CDC''s revised recommendations for HIV testing in health-care settings using data from a national hospital survey of HIV testing practices in 2009. The results of that national survey, comparing responses in 2009 with those from 2004, have been previously reported.¹² However, that report did not consider factors that might influence screening practices, such as county HIV prevalence, information on state HIV testing regulations, and information on the percentage of admissions of low-income and minority patients at participating hospitals.     

Area-Level Socioeconomic Disadvantage and Severe Pulmonary Tuberculosis: U.S., 2000–2008

Objectives

Lower socioeconomic status (SES) is associated with increased risk of tuberculosis (TB) and diagnostic delays, but the extent to which this association reflects an underlying gradient in advanced status of pulmonary TB is unknown. We conducted a multilevel retrospective cohort analysis examining the relationship between socioeconomic characteristics and pulmonary TB disease status, as measured via sputum smears and chest radiography results.

Methods

We included 862 incident TB patients reported in King County, Washington, from 2000–2008. We abstracted patient-level measures from charts and surveillance data. We obtained socioeconomic characteristics of TB patients, as well as those of the areas where TB patients lived, from the 2000 U.S. Census. A socioeconomic position (SEP) index was derived to measure SES.

Results

Of those with known results, 814 of 849 patients (96%) displayed abnormal radiography findings. A total of 239 graded patients (39%) had positive smears, 136 (57%) of whom had grades of moderate (3+) or numerous (4+) acid-fast bacilli. In unadjusted analyses, patients living in lower SEP areas did not appear to have higher probabilities of more advanced disease. In multivariate models adjusting for individual demographic and socioeconomic measures, as well as area-based demographic variables, block-group SEP was not significantly associated with more advanced pulmonary disease.

Conclusions

Lower SEP was not significantly associated with greater pulmonary disease severity after controlling for individual age, race, sex, and origin, and block-group race, ethnicity, and origin. These findings suggest that the severity of pulmonary TB at diagnosis is not synonymous with delayed diagnosis.Although tuberculosis (TB) incidence continues to decline in the United States, the proportion of advanced pulmonary TB, defined as smear-positive or cavitary disease, has been increasing.^1,2 Advanced clinical presentation may result from delayed diagnosis and treatment and may lead to greater infectivity and likelihood of transmission within a community.^3,4Lower socioeconomic status (SES) has been linked to more severe disease status for a variety of diseases including cystic fibrosis,⁵ sarcoidosis,⁶ subclinical coronary heart disease,⁷ cancers,^8,9 and pulmonary fibrosis.¹⁰ While the presence of other comorbidities, poor access to care, substance abuse, low income, education level, and lack of insurance^11–16 constitute risk factors for delays in TB diagnosis, little work has been done to characterize the association between SES and advanced pulmonary TB disease, as more advanced disease is often seen as characteristic of diagnostic delay. Furthermore, much of the work examining diagnostic delay has been examined outside the U.S. Areas in which people live are likely to have differential access to care, including proximity, cost, and presence of public clinics and transportation.^17,18 Disease status is likely to be impacted by such variations in area-level factors and, in particular, by variations in area-level SES across neighborhoods.Using TB case registry data on incident TB patients combined with chart reviews, we explored the relationship between individual patient demographic and SES attributes, in combination with area-level social characteristics, and two TB severity outcomes at diagnosis—lung cavitation and smear-positive acid-fast bacilli (AFB) in sputum smears. These measures have been linked to impaired pulmonary function, TB treatment failure, or death^19,20 and represent later disease stages.^21,22Specifically, this study was designed to assess whether severity of pulmonary TB disease was positively associated with area-based socioeconomic disadvantage within King County, Washington. By examining socioeconomic and demographic characteristics of block groups, our hope was to identify those factors that might play an important role in predicting disease severity at diagnosis. Such findings could provide insight into pathways by which area-level SES independently affects pulmonary disease severity.     

Could U.S. hospitals go the way of U.S. airlines?

The market for hospital services, like global markets in general, is becoming more competitive. Increased price transparency and focused competition can squeeze out inefficiencies, restraining prices and making some consumers better off. But competition can have a dark side. U.S. hospitals can treat Medicare and Medicaid patients at less than cost, care for the uninsured, and provide other money-losing services because they can cross-subsidize. By 2025 the need for general hospitals to cross-subsidize will greatly in-crease, but their ability to do so will be diminished. U.S. hospitals could begin to resemble U.S. airlines: severely cutting costs, eliminating services, and suffering financial instability.