Adverse events following pandemic influenza A (H1N1) 2009 monovalent and seasonal influenza vaccinations during the 2009-2010 season in the active component U.S. military and civilians aged 17-44years reported to the Vaccine Adverse Event Reporting System

BACKGROUND

No comparative review of Vaccine Adverse Event Reporting System (VAERS) submissions following pandemic influenza A (H1N1) 2009 and seasonal influenza vaccinations during the pandemic season among U.S. military personnel has been published.

METHODS

We compared military vs. civilian adverse event reporting rates. Adverse events (AEs) following vaccination were identified from VAERS for adults aged 17-44years after pandemic (monovalent influenza [MIV], and seasonal (trivalent inactivated influenza [IIV3], live attenuated influenza [LAIV3]) vaccines. Military vaccination coverage was provided by the Department of Defense's Defense Medical Surveillance System. Civilian vaccination coverage was estimated using data from the National 2009 H1N1 Flu Survey and the Behavioral Risk Factor Surveillance System survey.

RESULTS

Vaccination coverage was more than four times higher for MIV and more than twenty times higher for LAIV3 in the military than in the civilian population. The reporting rate of serious AE reports following MIV in service personnel (1.19 per 100,000) was about half that reported by the civilian population (2.45 per 100,000). Conversely, the rate of serious AE reports following LAIV3 among service personnel (1.32 per 100,000) was more than twice that of the civilian population. Although fewer military AEs following MIV were reported overall, the rate of Guillain-Barré Syndrome (GBS) (4.01 per million) was four times greater than that in the civilian population. (1.04 per million).

CONCLUSIONS

Despite higher vaccination coverage in service personnel, the rate of serious AEs following MIV was about half that in civilians. The rate of GBS reported following MIV was higher in the military.

Disability-Free Life-Years Lost Among Adults Aged ≥50 Years With and Without Diabetes

OBJECTIVE

To quantify the impact of diabetes status on healthy and disabled years of life for older adults in the U.S. and provide a baseline from which to evaluate ongoing national public health efforts to prevent and control diabetes and disability.

RESEARCH DESIGN AND METHODS

Adults (n = 20,008) aged 50 years and older were followed from 1998 to 2012 in the Health and Retirement Study, a prospective biannual survey of a nationally representative sample of adults. Diabetes and disability status (defined by mobility loss, difficulty with instrumental activities of daily living [IADL], and/or difficulty with activities of daily living [ADL]) were self-reported. We estimated incidence of disability, remission to nondisability, and mortality. We developed a discrete-time Markov simulation model with a 1-year transition cycle to predict and compare lifetime disability-related outcomes between people with and without diabetes. Data represent the U.S. population in 1998.

RESULTS

From age 50 years, adults with diabetes died 4.6 years earlier, developed disability 6-7 years earlier, and spent about 1-2 more years in a disabled state than adults without diabetes. With increasing baseline age, diabetes was associated with significant (P < 0.05) reductions in the number of total and disability-free life-years, but the absolute difference in years between those with and without diabetes was less than at younger baseline age. Men with diabetes spent about twice as many of their remaining years disabled (20-24% of remaining life across the three disability definitions) as men without diabetes (12-16% of remaining life across the three disability definitions). Similar associations between diabetes status and disability-free and disabled years were observed among women.

CONCLUSIONS

Diabetes is associated with a substantial reduction in nondisabled years, to a greater extent than the reduction of longevity.

Diabetes and Cardiovascular Disease Risk in Cambodian Refugees

To determine rates of diabetes, hypertension, and hyperlipidemia in Cambodian refugees, and to assess the proportion whose conditions are satisfactorily managed in comparison to the general population. Self-report and laboratory/physical health assessment data obtained from a household probability sample of U.S.-residing Cambodian refugees (N = 331) in 2010-2011 were compared to a probability sample of the adult U.S. population (N = 6,360) from the 2009-2010 National Health and Nutrition Examination Survey. Prevalence of diabetes, hypertension and hyperlipidemia in Cambodian refugees greatly exceeded rates found in the age- and gender-adjusted U.S.

POPULATION

Cambodian refugees with diagnosed hypertension or hyperlipidemia were less likely than their counterparts in the general U.S. population to have blood pressure and total cholesterol within recommended levels. Increased attention should be paid to prevention and management of diabetes and cardiovascular disease risk factors in the Cambodian refugee community. Research is needed to determine whether this pattern extends to other refugee groups.

Development and demonstration of a state model for the estimation of incidence of partly undetected chronic diseases

Background

Estimation of incidence of the state of undiagnosed chronic disease provides a crucial missing link for the monitoring of chronic disease epidemics and determining the degree to which changes in prevalence are affected or biased by detection.

Methods

We developed a four-part compartment model for undiagnosed cases of irreversible chronic diseases with a preclinical state that precedes the diagnosis. Applicability of the model is tested in a simulation study of a hypothetical chronic disease and using diabetes data from the Health and Retirement Study (HRS).

Results

A two dimensional system of partial differential equations forms the basis for estimating incidence of the undiagnosed and diagnosed disease states from the prevalence of the associated states. In the simulation study we reach very good agreement between the estimates and the true values. Application to the HRS data demonstrates practical relevance of the methods.

Discussion

We have demonstrated the applicability of the modeling framework in a simulation study and in the analysis of the Health and Retirement Study. The model provides insight into the epidemiology of undiagnosed chronic diseases.

Electronic supplementary material

The online version of this article (doi:10.1186/s12874-015-0094-y) contains supplementary material, which is available to authorized users.

Trends in Gestational Diabetes Among Hospital Deliveries in 19 U.S. States, 2000-2010

INTRODUCTION

Diabetes is one of the most common and fastest-growing comorbidities of pregnancy. Temporal trends in gestational diabetes mellitus (GDM) have not been examined at the state level. This study examines GDM prevalence trends overall and by age, state, and region for 19 states, and by race/ethnicity for 12 states. Sub-analysis assesses trends among GDM deliveries by insurance type and comorbid hypertension in pregnancy.

METHODS

Using the Agency for Healthcare Research and Quality's National and State Inpatient Databases, deliveries were identified using diagnosis-related group codes for GDM and comorbidities using ICD-9-CM diagnosis codes among all community hospitals. General linear regression with a log-link and binomial distribution was used in 2014 to assess annual change in GDM prevalence from 2000 through 2010.

RESULTS

The age-standardized prevalence of GDM increased from 3.71 in 2000 to 5.77 per 100 deliveries in 2010 (relative increase, 56%). From 2000 through 2010, GDM deliveries increased significantly in all states (p<0.01), with relative increases ranging from 36% to 88%. GDM among deliveries in 12 states reporting race and ethnicity increased among all groups (p<0.01), with the highest relative increase in Hispanics (66%). Among GDM deliveries in 19 states, those with pre-pregnancy hypertension increased significantly from 2.5% to 4.1% (relative increase, 64%). The burden of GDM delivery payment shifted from private insurers (absolute decrease of 13.5 percentage points) to Medicaid/Medicare (13.2-percentage point increase).

CONCLUSIONS

Results suggest that GDM deliveries are increasing. The highest rates of increase are among Hispanics and among GDM deliveries complicated by pre-pregnancy hypertension.

Change in medical spending attributable to diabetes: national data from 1987 to 2011

OBJECTIVE

Diabetes care has changed substantially in the past 2 decades. We examined the change in medical spending and use related to diabetes between 1987 and 2011.

RESEARCH DESIGN AND METHODS

Using the 1987 National Medical Expenditure Survey and the Medical Expenditure Panel Surveys in 2000-2001 and 2010-2011, we compared per person medical expenditures and uses among adults ≥ 18 years of age with or without diabetes at the three time points. Types of medical services included inpatient care, emergency room (ER) visits, outpatient visits, prescription drugs, and others. We also examined the changes in unit cost, defined by the expenditure per encounter for medical services.

RESULTS

The excess medical spending attributed to diabetes was $2,588 (95% CI, $2,265 to $3,104), $4,205 ($3,746 to $4,920), and $5,378 ($5,129 to $5,688) per person, respectively, in 1987, 2000-2001, and 2010-2011. Of the $2,790 increase, prescription medication accounted for 55%; inpatient visits accounted for 24%; outpatient visits accounted for 15%; and ER visits and other medical spending accounted for 6%. The growth in prescription medication spending was due to the increase in both the volume of use and unit cost, whereas the increase in outpatient expenditure was almost entirely driven by more visits. In contrast, the increase in inpatient and ER expenditures was caused by the rise of unit costs.

CONCLUSIONS

In the past 2 decades, managing diabetes has become more expensive, mostly due to the higher spending on drugs. Further studies are needed to assess the cost-effectiveness of increased spending on drugs.

Trends in pre-pregnancy diabetes among deliveries in 19 U.S. states, 2000-2010

BACKGROUND

Trends in state-level prevalence of pre-pregnancy diabetes mellitus (PDM; i.e., type 1 or type 2 diabetes diagnosed before pregnancy) among delivery hospitalizations are needed to inform healthcare delivery planning and prevention programs.

PURPOSE

To examine PDM trends overall, by age group, race/ethnicity, primary payer, and with comorbidities such as pre-eclampsia and pre-pregnancy hypertension, and to report changes in prevalence over 11 years.

METHODS

In 2014, State Inpatient Databases from the Agency for Healthcare Research and Quality were analyzed to identify deliveries with PDM and comorbidities using diagnosis-related group codes and ICD-9-CM codes. General linear regression with a log-link and binomial distribution was used to assess the annual change.

RESULTS

Between 2000 and 2010, PDM deliveries increased significantly in all age groups, all race/ethnicity groups, and in all states examined (p<0.01). The age-standardized prevalence of PDM increased from 0.65 per 100 deliveries in 2000 to 0.89 per 100 deliveries in 2010, with a relative change of 37% (p<0.01). Although PDM rates were highest in the South, some of the largest relative increases occurred in five Western states (≥69%). Non-Hispanic blacks had the highest PDM rates and the highest absolute increase (0.26 per 100 deliveries). From 2000 to 2010, the proportion of PDM deliveries with pre-pregnancy hypertension increased significantly (p<0.01) from 7.4% to 14.1%.

CONCLUSIONS

PDM deliveries are increasing overall and particularly among those with PDM who have hypertension. Effective diabetes prevention and control strategies for women of childbearing age may help protect their health and that of their newborns.

Diabetes and congenital heart defects: a systematic review, meta-analysis, and modeling project

CONTEXT

Maternal pregestational diabetes (PGDM) is a risk factor for development of congenital heart defects (CHDs). Glycemic control before pregnancy reduces the risk of CHDs. A meta-analysis was used to estimate summary ORs and mathematical modeling was used to estimate population attributable fractions (PAFs) and the annual number of CHDs in the U.S. potentially preventable by establishing glycemic control before pregnancy.

EVIDENCE ACQUISITION

A systematic search of the literature through December 2012 was conducted in 2012 and 2013. Case-control or cohort studies were included. Data were abstracted from 12 studies for a meta-analysis of all CHDs.

EVIDENCE SYNTHESIS

Summary estimates of the association between PGDM and CHDs and 95% credible intervals (95% CrIs) were developed using Bayesian random-effects meta-analyses for all CHDs and specific CHD subtypes. Posterior estimates of this association were combined with estimates of CHD prevalence to produce estimates of PAFs and annual prevented cases. Ninety-five percent uncertainty intervals (95% UIs) for estimates of the annual number of preventable cases were developed using Monte Carlo simulation. Analyses were conducted in 2013. The summary OR estimate for the association between PGDM and CHDs was 3.8 (95% CrI=3.0, 4.9). Approximately 2670 (95% UI=1795, 3795) cases of CHDs could potentially be prevented annually if all women in the U.S. with PGDM achieved glycemic control before pregnancy.

CONCLUSIONS

Estimates from this analysis suggest that preconception care of women with PGDM could have a measureable impact by reducing the number of infants born with CHDs.

Does knowing one's elevated glycemic status make a difference in macronutrient intake?

OBJECTIVE

To determine whether macronutrient intake differs by awareness of glycemic status among people with diabetes and prediabetes.

RESEARCH DESIGN AND METHODS

We used 24-h dietary recall and other data from 3,725 nonpregnant adults with diabetes or prediabetes aged ≥20 years from the morning fasting sample of the 2005-2010 National Health and Nutrition Examination Survey. Diabetes and prediabetes awareness were self-reported; those unaware of diabetes and prediabetes were defined by fasting plasma glucose (FPG) ≥126 mg/dL or HbA1c ≥6.5% and FPG 100-125 mg/dL or HbA1c of 5.7%-6.4%, respectively. Components of nutrient intake on a given day assessed were total calories, sugar, carbohydrates, fiber, protein, fat, and total cholesterol, stratified by sex and glycemic status awareness. Estimates of nutrient intake were adjusted for age, race/ethnicity, education level, BMI, smoking status, and family history of diabetes.

RESULTS

Men with diagnosed diabetes consumed less sugar (mean 86.8 vs. 116.8 g) and carbohydrates (mean 235.0 vs. 262.1 g) and more protein (mean 92.3 vs. 89.7 g) than men with undiagnosed diabetes. Similarly, women with diagnosed diabetes consumed less sugar (mean 79.1 vs. 95.7 g) and more protein (mean 67.4 vs. 56.6 g) than women with undiagnosed diabetes. No significant differences in macronutrient intake were found by awareness of prediabetes. All participants, regardless of sex or glycemic status, consumed on average less than the American Diabetes Association recommendations for fiber intake (i.e., 14 g/1,000 kcal) and slightly more saturated fat than recommended (>10% of total kcal).

CONCLUSIONS

Screening and subsequent knowledge of glycemic status may favorably affect some dietary patterns for people with diabetes.

Association of functional decline with subsequent diabetes incidence in U.S. adults aged 51 years and older: the Health and Retirement Study 1998-2010

OBJECTIVE We assessed whether functional decline and physical disability increase the subsequent risk of diabetes. RESEARCH DESIGN AND METHODS We used a subsample of adults aged 51 years and older with no diabetes at baseline who were followed up to 12 years (1998-2010) in the Health and Retirement Study, an observational study of a nationally representative survey. We assessed baseline disability status and incident disability with subsequent risk of diabetes, accounting for death as a competing risk and controlling for BMI, age, sex, race/ethnicity, net wealth, mother's level of education, respondents' level of education, and time of follow-up. Disability was defined as none, mild, moderate, and severe, based on a validated scale of mobility measures. Diabetes was identified by self-report of a diagnosis from a doctor. Population attributable fraction (PAF) was calculated to assess the percentage of diabetes cases that were attributable to mobility disability. RESULTS The sample included 22,878 adults with an average of 8.7 years of follow-up; 9,649 (41.2%) reported some level of disability at baseline, and 8,175 (35.7%) additional participants developed disability during follow-up; 3,546 (15.5%) participants developed diabetes; and 5,869 (25.6%) died. Regression analyses found a statistically significant dose-response relationship of increased risk of diabetes (28-95%) among those with any level of functional decline, prevalent or incident. Among the subanalytic sample, including incident disability only, the PAF was 6.9% (CI 4.2-9.5). CONCLUSIONS Our findings suggest those who become disabled, even mildly, are at increased risk of developing diabetes. This finding raises the possibility that approaches to prevent disability in older adults could also reduce diabetes incidence.

A novel use of structural equation models to examine factors associated with prediabetes among adults aged 50 years and older: National Health and Nutrition Examination Survey 2001-2006

OBJECTIVE

To use structural modeling to test a hypothesized model of causal pathways related with prediabetes among older adults in the U.S.

RESEARCH DESIGN AND METHODS

Cross-sectional study of 2,230 older adults (≥ 50 years) without diabetes included in the morning fasting sample of the 2001-2006 National Health and Nutrition Examination Surveys. Demographic data included age, income, marital status, race/ethnicity, and education. Behavioral data included physical activity (metabolic equivalent hours per week for vigorous or moderate muscle strengthening, walking/biking, and house/yard work), and poor diet (refined grains, red meat, added sugars, solid fats, and high-fat dairy). Structural-equation modeling was performed to examine the interrelationships among these variables with family history of diabetes, high blood pressure, BMI, large waist (waist circumference: women, ≥ 35 inches; men, ≥ 40 inches), triglycerides ≥ 200 mg/dL, and total and HDL (≥ 60 mg/dL) cholesterol.

RESULTS

After dropping BMI and total cholesterol, our best-fit model included three single factors: socioeconomic position (SEP), physical activity, and poor diet. Large waist had the strongest direct effect on prediabetes (0.279), followed by male sex (0.270), SEP (-0.157), high blood pressure (0.122), family history of diabetes (0.070), and age (0.033). Physical activity had direct effects on HDL (0.137), triglycerides (-0.136), high blood pressure (-0.132), and large waist (-0.067); poor diet had direct effects on large waist (0.146) and triglycerides (0.148).

CONCLUSIONS

Our results confirmed that, while including factors known to be associated with high risk of developing prediabetes, large waist circumference had the strongest direct effect. The direct effect of SEP on prediabetes suggests mediation by some unmeasured factor(s).

Variation in prevalence of gestational diabetes mellitus among hospital discharges for obstetric delivery across 23 states in the United States

OBJECTIVE

To examine variability in diagnosed gestational diabetes mellitus (GDM) prevalence at delivery by race/ethnicity and state.

RESEARCH DESIGN AND METHODS

We used data from the Healthcare Cost and Utilization Project State Inpatient Databases for 23 states of the United States with available race/ethnicity data for 2008 to examine age-adjusted and race-adjusted rates of GDM by state. We used multilevel analysis to examine factors that explain the variability in GDM between states.

RESULTS

Age-adjusted and race-adjusted GDM rates (per 100 deliveries) varied widely between states, ranging from 3.47 in Utah to 7.15 in Rhode Island. Eighty-six percent of the variability in GDM between states was explained as follows: 14.7% by age; 11.8% by race/ethnicity; 5.9% by insurance; and 2.9% by interaction between race/ethnicity and insurance at the individual level; 17.6% by hospital level factors; 27.4% by the proportion of obese women in the state; 4.3% by the proportion of Hispanic women aged 15-44 years in the state; and 1.5% by the proportion of white non-Hispanic women aged 15-44 years in the state.

CONCLUSIONS

Our results suggest that GDM rates differ by state, with this variation attributable to differences in obesity at the population level (or "at the state level"), age, race/ethnicity, hospital, and insurance.

Are standing order programs associated with influenza vaccination? - NNHS, 2004

BACKGROUND

Influenza vaccination coverage among nursing home residents has consistently been reported well below the Healthy People goals. We sought to determine if standing order programs (SOPs) in long-term care facilities are associated with greater influenza vaccination coverage among residents.

METHODS

The National Nursing Home Survey (2004) is cross-sectional. A total of 1152 US long-term care facilities were systematically sampled with probability proportional to number of beds. A total of 11,939 people aged 65 years or older residing in sampled long-term care facilities between August and December 2004 were randomly sampled. Influenza vaccination coverage of residents was obtained from facility records. Facility's immunization program included standing orders versus other (preprinted admission order, advance physician order, personal physician order, and no program). Multinomial logistic regression was used to examine the relationship between type of influenza immunization program and receipt of vaccination, adjusted for resident and facility confounders.

RESULTS

The proportion of residents aged 65 years or older who received influenza vaccination was 64%; 41% of residents lived in a facility with an SOP. Influenza vaccination coverage among residents residing in facilities with standing orders was 68% compared with 59% to 63% of residents in facilities with other program types. Logistic regression showed that standing order programs were independently associated with greater influenza vaccination coverage (66.7% versus 62.0%, P < .01).

CONCLUSION

This study indicates that residents in long-term care facilities having standing order programs for influenza were more likely to be immunized. More research needs to be done to understand how to facilitate adoption of these programs.

Influenza immunization coverage among residents of long-term care facilities certified by CMS, 2005-2006: the newest MDs quality indicator

BACKGROUND

In October 2005, the Centers for Medicare and Medicaid Services (CMS) required that long-term care (LTC) facilities certified by CMS offer each resident annual influenza vaccination. Subsequently, vaccination status was added to resident assessments collected beginning in the influenza season, 2005-2006. This is the first year immunization coverage can be reported based on a census of LTC residents.

OBJECTIVES

Report influenza immunization coverage for LTC residents by state, resident, and facility characteristics. Identify uses of the data and areas in need of improvement.

METHODS

Analysis of CMS' Minimum Data Set of 1,851,676 residents in nursing homes from October 1 through December 31 but who could have been discharged between January 1 and March 31 merged with data for 14,493 non-hospital-based facilities from the Online Survey and Certification Assessment Reporting System.

RESULTS

Overall, 83% of residents were offered the vaccine and 72% had received the vaccine. Almost 10% refused to receive the vaccine, 14% were not offered the vaccine, 1% were ineligible, and 3% were missing vaccination status. Vaccination coverage varied significantly among states (range: 49% to 87%). Fewer African Americans and Hispanics than whites were offered the vaccine (79% and 79% versus 84%, respectively) and received it (65% and 66% versus 73%, respectively); more African Americans refused the vaccine (12%) than residents of other races and/or ethnicities. Residents of Medicaid-certified-only facilities had higher levels of vaccination than residents of other facilities (82% versus < or =73%).

CONCLUSION

MDS immunization data can be used as surveillance to work with states to improve coverage. Further research to examine racial disparities in vaccination among LTC residents is needed.

Race/ethnicity and validity of self-reported pneumococcal vaccination

Background

National and state surveys show large disparities in pneumococcal vaccination status among Whites, Blacks and Latinos aged ≥ 65. The purpose of this study is to determine whether there is any difference in the validity of self-report for pneumococcal vaccination by race/ethnicity that might contribute to the substantial disparities observed in population-level coverage estimates.

Methods

Self-reported vaccination status was compared with medical record documentation for samples of White, Black, and Latino members of a large health plan to examine whether differences in validity of self-report contribute to observed disparities.

Results

Sensitivity was significantly lower for Blacks (0.849, 95% CI 0.818–0.876) and Latinos (0.869, 95% CI 0.847–0.889) than for Whites (0.931 95% CI 0.918–0.942). Specificity was somewhat higher for Blacks than for Latinos and Whites, but the differences were not statistically significant. Coverage for Whites, Blacks and Latinos, respectively, was 84.3%, 73.5%, and 82.3% based on self-report, but 74.8%, 71.9%, and 84.2% based on medical records.

Conclusion

The results of this study suggest that differential self-report error, i.e., summative effect of over-reporting and under-reporting within a race-ethnic group, may contribute to the size and direction of race-ethnic disparities in pneumococcal vaccination observed in surveys.

U.S. Healthcare personnel and influenza vaccination during the 2004-2005 vaccine shortage

BACKGROUND

Healthcare personnel with direct patient contact were prioritized for influenza vaccination during the 2004-2005 vaccine shortage. Data about vaccination coverage among healthcare personnel during vaccine shortages are limited.

METHODS

Behavioral Risk Factor Surveillance System 2005 data were analyzed in 2007 for a sample of healthcare facility workers (HCFW) aged 18-64 with (n=3456) and without (n=1153) direct patient contact and non-HCFWs (n=39,405). Chi-square tests and logistic regression were used to identify factors associated with influenza vaccination among HCFWs and to compare HCFWs with non-HCFWs with regard to the main reason for nonvaccination during the shortage.

RESULTS

Vaccination coverage was 37% (SE +/- 3.1) among HCFWs with direct patient contact and 25% (SE +/- 5.7) among those without. In multivariate analysis, coverage was higher among HCFWs who were older, more educated, and with higher incomes and better access to health care. The reason most commonly reported by HCFWs and non-HCFWs for nonvaccination was the belief that they did not need vaccination (35% versus 40%, respectively; p<0.05).

CONCLUSIONS

Even in a time of influenza-vaccine shortage, when most healthcare personnel were targeted for vaccination, their uptake of the vaccine remained suboptimal. Continued efforts are needed to develop effective interventions to improve the use of influenza vaccination among healthcare workers.

Managed care organizations' performance in delivery of adolescent immunizations, HEDIS, 1999-2002

PURPOSE

The Health Plan Employer Data Information Set (HEDIS) provides comparative information across health plans to measure the quality of care and preventive services for health plan beneficiaries. We examined recent trends in adolescent immunizations recommended by the Advisory Committee for Immunization Practices (ACIP) measured through HEDIS and reported to the National Committee for Quality Assurance (NCQA).

METHODS

The study was based on a longitudinal regression analysis of commercial managed care organizations' HEDIS measures from 1999-2002. HEDIS performance measures and plan characteristics include a sample of approximately 100-400 enrollees per plan each year. The outcome measures were the proportions of enrollees aged 13 years sampled in the plan who received measles-mumps-rubella vaccine (MMR), hepatitis B vaccine, and varicella vaccine.

RESULTS

The immunization rates for all three antigens increased significantly from 1999 to 2002 (MMR: 57-68%; hepatitis B: 28-51%; and varicella: 21-38%). Factors in the final multivariable models that were found to be significantly associated with increased proportions immunized with MMR vaccine, hepatitis B vaccine, and varicella vaccine include year of report, presence of school entry laws, years in business up to 25 years, and operating in the northeastern U.S. region; the only factor associated with decreasing immunization rates for all antigens was the number of providers per 100 commercial enrollees.

CONCLUSIONS

Consistent with previous reports, adolescent immunization rates are improving yet remain suboptimal. Strategies to increase immunization rates, as well as to improve documentation of immunization status, among commercial health insurance plans need to be developed and implemented.

Influenza vaccine supply, 2005-2006: did we come up short?

Background

Although total influenza vaccine doses available in the 2005/2006 influenza season were over 80 million, CDC received many reports of delayed and diminished vaccine shipments in October to November of 2005. To better understand the supply problems, CDC and partners surveyed several health care professional groups.

Methods

Surveys were sent to representative samples of influenza vaccine providers including pediatricians, internists, federally qualified health centers, visiting nurse organizations, and all 64 state and other health departments receiving federal immunization funds directly. In November and December, 2005, providers were asked questions about their experience in ordering influenza vaccine, sources where orders were placed, proportion of orders received, and referral of patients to other vaccination sites.

Results

The number of providers surveyed (median: 154; range: 64 – 308) and response rates (median: 62%; range: 51% – 77%) varied among groups. Less than half of the providers in most groups placed a single order that was accepted (median: 31%; range: 8% – 53%), and most placed multiple orders. Only 57% of federally qualified health centers and 60% of internists reported they received at least 40% of their orders by the middle of December; the other provider groups received a greater proportion of their orders. Most internists (80%) and federally qualified health centers (54%) reported that they had referred priority group patients to other locations to receive the influenza vaccine due to inadequate supplies. Vaccine providers who ordered only from Chiron received a lower proportion of their orders than providers that ordered from another source or ordered from multiple sources.

Conclusion

Most of the providers surveyed received only part of their orders by the middle of December. Disruptions in receipt of influenza vaccine during the fall of 2005 were due primarily to shortfalls in vaccine from Chiron and also due to delays and partial shipments from other distributors.

Do patterns of knowledge and attitudes exist among unvaccinated seniors?

OBJECTIVE

To examine patterns of knowledge and attitudes among adults aged > 65 years unvaccinated for influenza.

METHODS

Surveyed Medicare beneficiaries in 5 areas; clustered unvaccinated seniors by their immunization related knowledge and attitudes.

RESULTS

Identified 4 clusters: Potentials (45%) would receive influenza vaccine to prevent disease; Fearful Uninformeds (9%) were unsure if influenza vaccine causes illness; Doubters (27%) were unsure if vaccine is efficacious; Misinformeds (19%) believed influenza vaccine causes illness. More Potentials (75%) and Misinformeds (70%) ever received influenza vaccine than did Fearful Uninformeds (18%) and Doubters (29%).

CONCLUSION

Findings suggest that cluster analyses may be useful in identifying groups for targeted health messages.

The role of attitudes in understanding disparities in adult influenza vaccination

BACKGROUND

Racial/ethnic disparities in influenza vaccine coverage of adults aged 65 years and older persist even after controlling for access, healthcare utilization, and socioeconomic status. Differences in attitudes toward vaccination may help explain these disparities. The purpose of this study was to describe patient characteristics and attitudes toward influenza vaccination among whites and African Americans aged 65 years and older, and to examine their effect on racial disparities in vaccination coverage.

METHODS

A cross-sectional telephone survey of Medicare beneficiaries in five U.S. sites, sampled on race/ethnicity and ZIP code. Multivariate analysis controlling for demographics, healthcare utilization, and attitudes toward influenza vaccination was conducted in 2005 to assess racial disparities in vaccine coverage during the 2003-2004 season.

RESULTS

The analysis included 1859 white and 1685 African-American respondents; 79% of whites versus 50% of African Americans reported influenza vaccination in the past year (p < 0.00001). Both vaccinated and unvaccinated African Americans were significantly less likely than whites to report positive attitudes toward influenza vaccination. Even among respondents with provider recommendations, respondents with positive attitudes were more likely to be vaccinated than those with negative attitudes. After multivariate adjustment, African Americans had significantly lower odds of influenza vaccination than whites (odds ratio = 0.55, 95% confidence interval = 0.42-0.72).

CONCLUSIONS

A significant gap in vaccination coverage between African Americans and whites persisted even after controlling for specific respondent attitudes. Future research should focus on other factors such as vaccine-seeking behavior.

Public health application comparing multilevel analysis with logistic regression: immunization coverage among long-term care facility residents

PURPOSE

Public health studies often sample populations using nested sampling plans. When the variance of the residual errors is correlated between individual observations as a result of these nested structures, traditional logistic regression is inappropriate. We used nested nursing home patient data to show that one-level logistic regression and hierarchical multilevel regression can yield different results.

METHODS

We performed logistic and multilevel regression to determine nursing home resident characteristics associated with receiving pneumococcal immunizations. Nursing home characteristics such as type of ownership, immunization program type, and certification were collected from a sample of 249 nursing homes in 14 selected states. Nursing home resident data including demographics, receipt of immunizations, cognitive patterns, and physical functioning were collected on 100 randomly selected residents from each facility.

RESULTS

Factors associated with receipt of pneumococcal vaccination using logistic regression were similar to those found using multilevel regression model with some exceptions. Predictors using logistic regression that were not significant using multilevel regression included race, speech problems, infections, renal failure, legal responsibility for oneself, and affiliation with a chain. Unstable health conditions were significant only in the multilevel model.

CONCLUSIONS

When correlation of resident outcomes within nursing home facilities was not considered, statistically significant associations were likely due to residual correlation effects. To control the probability of type I error, epidemiologists evaluating public health data on nested populations should use methods that account for correlation among observations.