The effect of disease misclassification on the ability to detect a gene-environment interaction: implications of the specificity of case definitions for research on Gulf War illness.

BACKGROUND: Since 1997, research on Gulf War illness (GWI) has predominantly used 3 case definitions-the original Research definition, the CDC definition, and modifications of the Kansas definition-but they have not been compared against an objective standard. METHODS: All 3 case definitions were measured in the U.S. Military Health Survey by a computer-assisted telephone interview in a random sample (n = 6,497) of the 1991 deployed U.S. military force. The interview asked whether participants had heard nerve agent alarms during the conflict. A random subsample (n = 1,698) provided DNA for genotyping the PON1 Q192R polymorphism. RESULTS: The CDC and the Modified Kansas definition without exclusions were satisfied by 41.7% and 39.0% of the deployed force, respectively, and were highly overlapping. The Research definition, a subset of the others, was satisfied by 13.6%. The majority of veterans meeting CDC and Modified Kansas endorsed fewer and milder symptoms; whereas, those meeting Research endorsed more symptoms of greater severity. The group meeting Research was more highly enriched with the PON1 192R risk allele than those meeting CDC and Modified Kansas, and Research had twice the power to detect the previously described gene-environment interaction between hearing alarms and RR homozygosity (adjusted relative excess risk due to interaction [aRERI] = 7.69; 95% CI 2.71-19.13) than CDC (aRERI = 2.92; 95% CI 0.96-6.38) or Modified Kansas without exclusions (aRERI = 3.84; 95% CI 1.30-8.52) or with exclusions (aRERI = 3.42; 95% CI 1.20-7.56). The lower power of CDC and Modified Kansas relative to Research was due to greater false-positive disease misclassification from lower diagnostic specificity. CONCLUSIONS: The original Research case definition had greater statistical power to detect a genetic predisposition to GWI. Its greater specificity favors its use in hypothesis-driven research; whereas, the greater sensitivity of the others favor their use in clinical screening for application of future diagnostic biomarkers and clinical care.

Association Between Length of Buprenorphine or Methadone Use and Nonprescribed Opioid Use Among Individuals with Opioid Use Disorder: A Cohort Study.

BACKGROUND: Opioid use disorder (OUD) affects millions of individuals each year in the United States. Patient retention in medications for opioid use disorder (MOUD) treatment is suboptimal. This study examines and quantifies the associations between each additional month of buprenorphine or methadone use and nonprescribed opioid use. METHODS: Data were obtained from an 18-month longitudinal, observational cohort study of patients (age ≥ 18 years) treated for OUD. Patients completed a baseline self-reported questionnaire between March 2018 and December 2019 and were asked to complete follow-up questionnaires at approximately 3-, 6-, 12-, and 18-months post-baseline until May 2021. Patients treated with buprenorphine or methadone, without taking other MOUD at least 12 months prior to baseline, were included. Outcomes included past 30-day use of prescription opioids nonmedically, heroin, or illegally made fentanyl. A multivariable, multilevel regression model with a binomial distribution and a logit link was used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs). RESULTS: This study included 353 patients taking buprenorphine (mean [standard deviation, SD] age 39 [11] years; 226 [64%] female), and 785 patients taking methadone (mean [SD] age 42 [12] years; 392 [50%] female). Each additional month of MOUD treatment was associated with a 25% decrease in the odds of past 30-day nonprescribed opioid use for patients taking buprenorphine (aOR [95% CI] = 0.75 [0.68-0.83]), and a 17% decrease for patients taking methadone (aOR = 0.83 [0.79-0.87]). The COVID-19 pandemic (aOR = 9.29 [2.96-29.17]; aOR = 3.19 [1.74-5.86]) and MOUD adverse reaction experiences (aOR = 3.07 [1.11-8.48]; aOR = 2.51 [1.01-6.22]) were significantly associated with higher odds of nonprescribed opioid use among buprenorphine and methadone groups. CONCLUSION: Among patients treated with buprenorphine or methadone, with each additional treatment month since baseline, those who continued with treatment appeared to be more likely to report 17% to 25% decreased odds of past 30-day nonprescribed opioid use. Our findings can be used by clinicians in the shared decision-making process with patients, emphasizing the value of sustained retention in MOUD.

The Medications for Opioid Use Disorder Study: Methods and Initial Outcomes From an 18-Month Study of Patients in Treatment for Opioid Use Disorder.

OBJECTIVE: Opioid use disorder (OUD) affects approximately 5.6 million people in the United States annually, yet rates of the use of effective medication for OUD (MOUD) treatment are low. We conducted an observational cohort study from August 2017 through May 2021, the MOUD Study, to better understand treatment engagement and factors that may influence treatment experiences and outcomes. In this article, we describe the study design, data collected, and treatment outcomes. METHODS: We recruited adult patients receiving OUD treatment at US outpatient facilities for the MOUD Study. We collected patient-level data at 5 time points (baseline to 18 months) via self-administered questionnaires and health record data. We collected facility-level data via questionnaires administered to facility directors at 2 time points. Across 16 states, 62 OUD treatment facilities participated, and 1974 patients enrolled in the study. We summarized descriptive data on the characteristics of patients and OUD treatment facilities and selected treatment outcomes. RESULTS: Approximately half of the 62 facilities were private, nonprofit organizations; 62% focused primarily on substance use treatment; and 20% also offered mental health services. Most participants were receiving methadone (61%) or buprenorphine (32%) and were predominately non-Hispanic White (68%), aged 25-44 years (62%), and female (54%). Compared with patient-reported estimates at baseline, 18-month estimates suggested that rates of abstinence increased (55% to 77%), and rates of opioid-related overdoses (7% to 2%), emergency department visits (9% to 4%), and arrests (15% to 7%) decreased. CONCLUSIONS: Our results demonstrated the benefits of treatment retention not only on abstinence from opioid use but also on other quality-of-life metrics, with data collected during an extended period. The MOUD Study produced rich, multilevel data that can lay the foundation for an evidence base to inform OUD treatment and support improvement of care and patient outcomes.

Prevalence of influenza-specific vaccination hesitancy among adults in the United States, 2018.

BACKGROUND: The role of vaccine hesitancy on influenza vaccination is not clearly understood. Low influenza vaccination coverage in U.S. adults suggests that a multitude of factors may be responsible for under-vaccination or non-vaccination including vaccine hesitancy. Understanding the role of influenza vaccination hesitancy is important for targeted messaging and intervention to increase influenza vaccine confidence and uptake. The objective of this study was to quantify the prevalence of adult influenza vaccination hesitancy (IVH) and examine association of IVH beliefs with sociodemographic factors and early-season influenza vaccination. METHODS: A four-question validated IVH module was included in the 2018 National Internet Flu Survey. Weighted proportions and multivariable logistic regression models were used to identify correlates of IVH beliefs. RESULTS: Overall, 36.9% of adults were hesitant to receive an influenza vaccination; 18.6% expressed concerns about vaccination side effects; 14.8% personally knew someone with serious side effects; and 35.6% reported that their healthcare provider was not the most trusted source of information about influenza vaccinations. Influenza vaccination ranged from 15.3 to 45.2 percentage points lower among adults self-reporting any of the four IVH beliefs. Being female, age 18-49 years, non-Hispanic Black, having high school or lower education, being employed, and not having primary care medical home were associated with hesitancy. CONCLUSIONS: Among the four IVH beliefs studied, being hesitant to receiving influenza vaccination followed by mistrust of healthcare providers were identified as the most influential hesitancy beliefs. Two in five adults in the United States were hesitant to receive an influenza vaccination, and hesitancy was negatively associated with vaccination. This information may assist with targeted interventions, personalized to the individual, to reduce hesitancy and thus improve influenza vaccination acceptance.

Protecting the integrity of survey research.

Although polling is not irredeemably broken, changes in technology and society create challenges that, if not addressed well, can threaten the quality of election polls and other important surveys on topics such as the economy. This essay describes some of these challenges and recommends remediations to protect the integrity of all kinds of survey research, including election polls. These 12 recommendations specify ways that survey researchers, and those who use polls and other public-oriented surveys, can increase the accuracy and trustworthiness of their data and analyses. Many of these recommendations align practice with the scientific norms of transparency, clarity, and self-correction. The transparency recommendations focus on improving disclosure of factors that affect the nature and quality of survey data. The clarity recommendations call for more precise use of terms such as "representative sample" and clear description of survey attributes that can affect accuracy. The recommendation about correcting the record urges the creation of a publicly available, professionally curated archive of identified technical problems and their remedies. The paper also calls for development of better benchmarks and for additional research on the effects of panel conditioning. Finally, the authors suggest ways to help people who want to use or learn from survey research understand the strengths and limitations of surveys and distinguish legitimate and problematic uses of these methods.

Evaluation of a Gene-Environment Interaction of PON1 and Low-Level Nerve Agent Exposure with Gulf War Illness: A Prevalence Case-Control Study Drawn from the U.S. Military Health Survey's National Population Sample.

BACKGROUND: Consensus on the etiology of 1991 Gulf War illness (GWI) has been limited by lack of objective individual-level environmental exposure information and assumed recall bias. OBJECTIVES: We investigated a prestated hypothesis of the association of GWI with a gene-environment (GxE) interaction of the paraoxonase-1 (PON1) Q192R polymorphism and low-level nerve agent exposure. METHODS: A prevalence sample of 508 GWI cases and 508 nonpaired controls was drawn from the 8,020 participants in the U.S. Military Health Survey, a representative sample survey of military veterans who served during the Gulf War. The PON1 Q192R genotype was measured by real-time polymerase chain reaction (RT-PCR), and the serum Q and R isoenzyme activity levels were measured with PON1-specific substrates. Low-level nerve agent exposure was estimated by survey questions on having heard nerve agent alarms during deployment. RESULTS: The GxE interaction of the Q192R genotype and hearing alarms was strongly associated with GWI on both the multiplicative [prevalence odds ratio (POR) of the interaction=3.41; 95% confidence interval (CI): 1.20, 9.72] and additive (synergy index=4.71; 95% CI: 1.82, 12.19) scales, adjusted for measured confounders. The Q192R genotype and the alarms variable were independent (adjusted POR in the controls=1.18; 95% CI: 0.81, 1.73; p=0.35), and the associations of GWI with the number of R alleles and quartiles of Q isoenzyme were monotonic. The adjusted relative excess risk due to interaction (aRERI) was 7.69 (95% CI: 2.71, 19.13). Substituting Q isoenzyme activity for the genotype in the analyses corroborated the findings. Sensitivity analyses suggested that recall bias had forced the estimate of the GxE interaction toward the null and that unmeasured confounding is unlikely to account for the findings. We found a GxE interaction involving the Q-correlated PON1 diazoxonase activity and a weak possible GxE involving the Khamisiyah plume model, but none involving the PON1 R isoenzyme activity, arylesterase activity, paraoxonase activity, butyrylcholinesterase genotypes or enzyme activity, or pyridostigmine. DISCUSSION: Given gene-environment independence and monotonicity, the unconfounded aRERI>0 supports a mechanistic interaction. Together with the direct evidence of exposure to fallout from bombing of chemical weapon storage facilities and the extensive toxicologic evidence of biochemical protection from organophosphates by the Q isoenzyme, the findings provide strong evidence for an etiologic role of low-level nerve agent in GWI. https://doi.org/10.1289/EHP9009.

Population-based correlates of COVID-19 infection: An analysis from the DFW COVID-19 prevalence study.

BACKGROUND: COVID-19 has resulted in over 1 million deaths in the U.S. as of June 2022, with continued surges after vaccine availability. Information on related attitudes and behaviors are needed to inform public health strategies. We aimed to estimate the prevalence of COVID-19, risk factors of infection, and related attitudes and behaviors in a racially, ethnically, and socioeconomically diverse urban population. METHODS: The DFW COVID-19 Prevalence Study Protocol 1 was conducted from July 2020 to March 2021 on a randomly selected sample of adults aged 18-89 years, living in Dallas or Tarrant Counties, Texas. Participants were asked to complete a 15-minute questionnaire and COVID-19 PCR and antibody testing. COVID-19 prevalence estimates were calculated with survey-weighted data. RESULTS: Of 2969 adults who completed the questionnaire (7.4% weighted response), 1772 (53.9% weighted) completed COVID-19 testing. Overall, 11.5% of adults had evidence of COVID-19 infection, with a higher prevalence among Hispanic and non-Hispanic Black persons, essential workers, those in low-income neighborhoods, and those with lower education attainment compared to their counterparts. We observed differences in attitudes and behaviors by race and ethnicity, with non-Hispanic White persons being less likely to believe in the importance of mask wearing, and racial and ethnic minorities more likely to attend social gatherings. CONCLUSION: Over 10% of an urban population was infected with COVID-19 early during the pandemic. Differences in attitudes and behaviors likely contribute to sociodemographic disparities in COVID-19 prevalence.

Validation of a research case definition of Gulf War illness in the 1991 US military population.

BACKGROUND: A case definition of Gulf War illness with 3 primary variants, previously developed by factor analysis of symptoms in a US Navy construction battalion and validated in clinic veterans, identified ill veterans with objective abnormalities of brain function. This study tests prestated hypotheses of its external validity. METHODS: A stratified probability sample (n = 8,020), selected from a sampling frame of the 3.5 million Gulf War era US military veterans, completed a computer-assisted telephone interview survey. Application of the prior factor weights to the subjects' responses generated the case definition. RESULTS: The structural equation model of the case definition fit both random halves of the population sample well (root mean-square error of approximation = 0.015). The overall case definition was 3.87 times (95% confidence interval, 2.61-5.74) more prevalent in the deployed than the deployable nondeployed veterans: 3.33 (1.10-10.10) for syndrome variant 1; 5.11 (2.43-10.75) for variant 2, and 4.25 (2.33-7.74) for variant 3. Functional status on SF-12 was greatly reduced (effect sizes, 1.0-2.0) in veterans meeting the overall and variant case definitions. CONCLUSIONS: The factor case definition applies to the full Gulf War veteran population and has good characteristics for research.

Preventing young children's injuries: analysis of data from a population-based surveillance.

The objective of this study is to determine prevention strategies for potentially serious injury events among children younger than 3 years of age based upon circumstances surrounding injury events. Surveillance was conducted on all injuries to District of Columbia (DC) residents less than 3 years old that resulted in an Emergency Department (ED) visit, hospitalization, or death for 1 year. Data were collected through abstraction of medical records and interviews with a subset of parents of injured children. Investigators coded injury-related events for the potential for death or disability. Potential prevention strategies were then determined for all injury events that had at least a moderate potential for death or disability and sufficient detail for coding (n = 425). Injury-related events included 10 deaths, 163 hospitalizations, and 2,868 ED visits (3,041 events in total). Of the hospitalizations, 88% were coded as moderate or high potential for disability or death, versus only 21% of the coded ED visits. For potentially serious events, environmental change strategies were identified for 47%, behavior change strategies for 77%, and policy change strategies for 24%. For 46% of the events more than one type of prevention strategy was identified. Only 8% had no identifiable prevention strategy. Prevention strategies varied by specific cause of injury. Potential prevention strategies were identifiable for nearly all potentially serious injury events, with multiple potential prevention strategies identified for a large fraction of the events. These findings support developing multifaceted prevention approaches informed by community-based injury surveillance.

Trends in place of early-season influenza vaccination among adults, 2014-15 through 2018-19 influenza seasons-The importance of medical and nonmedical settings for vaccination.

BACKGROUND: Annual vaccination is the most effective strategy for preventing influenza. We assessed trends and demographic and access-to-care characteristics associated with place of vaccination in recent years. METHODS: Data from the 2014-2018 National Internet Flu Survey were analyzed to assess trends in place of early-season influenza vaccination during the 2014-15 through 2018-19 seasons. Multivariable logistic regression was conducted to identify factors independently associated with vaccination settings in the 2018-19 season. RESULTS: Among vaccinated adults, the proportion vaccinated in medical (range: 49%-53%) versus nonmedical settings (range: 47%-51%) during the 2014-15 through 2018-19 seasons were similar. Among adults aged ≥18 years vaccinated early in the 2018-19 influenza season, a doctor's office was the most common place (34.4%), followed by pharmacies or stores (32.3%), and workplaces (15.0%). Characteristics significantly associated with an increased likelihood of receipt of vaccination in nonmedical settings among adults included household income ≥$50,000, having no doctor visits since July 1, 2018, or having a doctor visit but not receiving an influenza vaccination recommendation from the medical professional. CONCLUSIONS: Place of early-season influenza vaccination among adults who reported receiving influenza vaccination was stable over 5 recent seasons. Both medical and nonmedical settings were important places for influenza vaccination. Increasing access to vaccination services in medical and nonmedical settings should be considered as an important strategy for improving vaccination coverage.

FIT FOR PURPOSE IN ACTION: DESIGN, IMPLEMENTATION, AND EVALUATION OF THE NATIONAL INTERNET FLU SURVEY.

Researchers strive to design and implement high-quality surveys to maximize the utility of the data collected. The definitions of quality and usefulness, however, vary from survey to survey and depend on the analytic needs. Survey teams must evaluate the trade-offs of various decisions, such as when results are needed and their required level of precision, in addition to practical constraints like budget, before finalizing the design. Characteristics within the concept of fit for purpose (FfP) can provide the framework for considering the trade-offs. Furthermore, this tool can enable an evaluation of quality for the resulting estimates. Implementation of a FfP framework in this context, however, is not straightforward. In this article, we provide the reader with a glimpse of a FfP framework in action for obtaining estimates on early season influenza vaccination coverage estimates and on knowledge, attitudes, behaviors, and barriers related to influenza and influenza prevention among civilian noninstitutionalized adults aged 18 years and older in the United States. The result is the National Internet Flu Survey (NIFS), an annual, two-week internet survey sponsored by the US Centers for Disease Control and Prevention. In addition to critical design decisions, we use the established NIFS FfP framework to discuss the quality of the NIFS in meeting the intended objectives. We highlight aspects that work well and other survey traits requiring further evaluation. Differences found in comparing the NIFS to the National Flu Survey, the National Health Interview Survey, and Behavioral Risk Factor Surveillance System are discussed via their respective FfP characteristics. The findings presented here highlight the importance of the FfP framework for designing surveys, defining data quality, and providing a set a metrics used to advertise the intended use of the survey data and results.

The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey.

Previous research has shown that increasing the size of incentives can increase response rates for probability-based, cross-sectional surveys. However, the effects of incentives on web panels have not been extensively studied. We sought to answer the question: What is the effect of larger, postpaid incentives on (1) response, (2) data quality, and (3) nonresponse bias for individuals in a web panel? We analyzed data from the 2015 and 2016 National Internet Flu Survey, a survey that uses the GfK KnowledgePanel® as its sampling frame. We compare panel members who received a postpaid, standard 1,000-point (the equivalent of US$1) incentive in 2015 to panelists who received a larger, 5,000-point (the equivalent of US$5) incentive in 2016. We found that larger incentives were associated with increased interview completion rates with minimal impact on data quality or bias.

Influenza vaccination among adults living with persons at high-risk for complications from influenza during early 2016-17 influenza season.

BACKGROUND: The Advisory Committee on Immunization Practices (ACIP) recommends all persons aged ≥6 months get vaccinated for influenza annually, placing particular emphasis on persons who are at increased risk for influenza-related complications and persons living with or caring for them. METHODS: Data from the 2016 National Internet Flu Survey (NIFS), a nationally representative, probability-based Internet panel survey of the noninstitutionalized U.S. civilian population aged ≥18 years, was used to compare influenza vaccination coverage among adults who live with household members at high-risk for complications from influenza with those who do not. Logistic regression was used to evaluate the difference in the adjusted vaccination coverage prevalence between persons living with and without high-risk household members. RESULTS: From the 2016 NIFS (n = 4,113), we estimated that 29.2% of noninstitutionalized U.S. adults had at least one household member at increased risk for influenza-related complications. Unadjusted influenza vaccination coverage was significantly higher for adults with a high-risk household member compared with those without (46.7% vs 38.6%, respectively). After adjustment for demographic and access-to-care factors, adults with high-risk household members were more likely to be vaccinated than those without (adjusted prevalence difference = 5.3 [0.3, 10.3]). Among vaccinated respondents with high-risk household members, 88.7% reported that protection of their family and close contacts was one of the reasons they were vaccinated. CONCLUSION: Approximately half of adults living with someone at increased risk of complications from influenza did not report receiving an influenza vaccination. Vaccination reminder/recall for persons at increased risk should include reminders for their household contacts.

Preventive behaviors adults report using to avoid catching or spreading influenza, United States, 2015-16 influenza season.

INTRODUCTION: Influenza vaccination can prevent influenza and potentially serious influenza-related complications. Although the single best way to prevent influenza is annual vaccination, everyday preventive actions, including good hygiene, health, dietary, and social habits, might help, too. Several preventive measures are recommended, including: avoiding close contact with people who are sick; staying home when sick; covering your mouth and nose when coughing or sneezing; washing your hands often; avoiding touching your eyes, nose, and mouth; and practicing other good health habits like cleaning and disinfecting frequently touched surfaces, getting plenty of sleep, and drinking plenty of fluids. Understanding public acceptance and current usage of these preventive behaviors can be useful for planning both seasonal and pandemic influenza prevention campaigns. This study estimated the percentage of adults in the United States who reported practicing preventive behaviors to avoid catching or spreading influenza, and explored associations of reported behaviors with sociodemographic factors. METHODS: We analyzed data from 2015 National Internet Flu Survey, a nationally representative probability-based Internet panel survey of the non-institutionalized U.S. population ≥18 years. The self-reported behaviors used to avoid catching or spreading influenza were grouped into four and three non-mutually exclusive subgroups, respectively. Weighted proportions were calculated. Multivariable logistic regression models were used to calculate adjusted prevalence differences and to determine independent associations between sociodemographic characteristics and preventive behavior subgroups. RESULTS: Common preventive behaviors reported were: 83.2% wash hands often, 80.0% cover coughs and sneezes, 78.2% stay home if sick with a respiratory illness, 64.4% avoid people sick with a respiratory illness, 51.7% use hand sanitizers, 50.2% get treatment as soon as possible, and 49.8% report getting the influenza vaccination. Race/ethnicity, gender, age, education, income, region, receipt of influenza vaccination, and household size were associated with use of preventive behaviors after controlling for other factors. CONCLUSION: Many adults in the United States reported using preventive behaviors to avoid catching or spreading influenza. Though vaccination is the most important tool available to prevent influenza, the addition of preventive behaviors might play an effective role in reducing or slowing transmission of influenza and complement prevention efforts.

Association of provider recommendation and offer and influenza vaccination among adults aged ≥18 years - United States.

BACKGROUND: Influenza vaccination has been recommended for all persons aged ≥6 months since 2010. METHODS: Data from the 2016 National Internet Flu Survey were analyzed to assess provider vaccination recommendations and early influenza vaccination during the 2016-17 season among adults aged ≥18 years. Predictive marginals from a multivariable logistic regression model were used to identify factors independently associated with early vaccine uptake by provider vaccination recommendation status. RESULTS: Overall, 24.0% visited a provider who both recommended and offered influenza vaccination, 9.0% visited a provider who only recommended but did not offer, 25.1% visited a provider who neither recommended nor offered, and 41.9% did not visit a doctor from July 1 through date of interview. Adults who reported that a provider both recommended and offered vaccine had significantly higher vaccination coverage (66.6%) compared with those who reported that a provider only recommended but did not offer (48.4%), those who neither received recommendation nor offer (32.0%), and those who did not visit a doctor during the vaccination period (28.8%). Results of multivariable logistic regression indicated that having received a provider recommendation, with or without an offer for vaccination, was significantly associated with higher vaccination coverage after controlling for demographic and access-to-care factors. CONCLUSIONS: Provider recommendation was significantly associated with influenza vaccination. However, overall, 67.0% of adults did not visit a doctor during the vaccination period or did visit a doctor but did not receive a provider recommendation. Evidence-based strategies such as client reminder/recall, standing orders, provider reminders, or health systems interventions in combination should be undertaken to improve provider recommendation and influenza vaccination coverage. Other factors significantly associated with a higher level of influenza vaccination included age ≥50 years, being Hispanic, having a college or higher education, having a usual place for medical care, and having public health insurance.

Knowledge of influenza vaccination recommendation and early vaccination uptake during the 2015-16 season among adults aged ≥18years - United States.

BACKGROUND: Since 2010, the Advisory Committee on Immunization Practices (ACIP) has recommended that all persons aged ≥6months receive annual influenza vaccination. METHODS: We analyzed data from the 2015 National Internet Flu Survey (NIFS), to assess knowledge and awareness of the influenza vaccination recommendation and early influenza vaccination coverage during the 2015-16 season among adults. Predictive marginals from a multivariable logistic regression model were used to identify factors independently associated with adults' knowledge and awareness of the vaccination recommendation and early vaccine uptake during the 2015-16 influenza season. RESULTS: Among the 3301 respondents aged ≥18years, 19.6% indicated knowing that influenza vaccination is recommended for all persons aged ≥6months. Of respondents, 62.3% indicated awareness that there was a recommendation for influenza vaccination, but did not indicate correct knowledge of the recommended age group. Overall, 39.9% of adults aged ≥18years reported having an influenza vaccination. Age 65years and older, being female, having a college or higher education, not being in work force, having annual household income ≥$75,000, reporting having received an influenza vaccination early in the 2015-16 season, having children aged ≤17years in the household, and having high-risk conditions were independently associated with a higher correct knowledge of the influenza vaccination recommendation. CONCLUSIONS: Approximately 1 in 5 had correct knowledge of the recommendation that all persons aged ≥6months should receive an influenza vaccination annually, with some socio-economic groups being even less aware. Clinic based education in combination with strategies known to increase uptake of recommended vaccines, such as patient reminder/recall systems and other healthcare system-based interventions are needed to improve vaccination, which could also improve awareness.

Refinements of the Medicare Outpatient Therapy Annual Expenditure Limit Policy.

BACKGROUND: A Medicare beneficiary's annual outpatient therapy expenditures that exceed congressionally established caps are subject to extra documentation and review requirements. In 2011, these caps were $1,870 for physical therapy and speech-language pathology combined and $1,870 for occupational therapy separately. OBJECTIVE: This article considers the distributional effects of replacing current cap policy with equal caps by therapy discipline (physical therapy, occupational therapy, and speech-language pathology) or a single combined cap, and risk adjusting the physical therapy cap using beneficiary characteristics and functional status. METHODS: Alternative therapy cap policies are simulated with 100% Medicare claims for 2011 therapy users (N=4.9 million). A risk-adjusted cap for annual physical therapy expenditures is calculated from a quantile regression estimated on a sample of physical therapy users with diagnoses and clinician assessments of functional ability merged to their claims (n=4,210). RESULTS: Equal discipline-specific caps of $1,710 each for physical therapy, occupational therapy, and speech-language pathology result in the same aggregate Medicare expenditures above the caps as 2011 cap policy. A single combined-disciplines cap of $2,485 also results in the same aggregate expenditures above the cap. Risk adjustment varies the physical therapy cap by as much as 5 to 1 across beneficiaries and equalizes the probability of exceeding the physical therapy cap across diagnosis and functional status groups. LIMITATIONS: One limitation of the study was the assumption of no behavioral response on the part of beneficiaries or providers to a change in cap policy. Additionally, analysis of risk adjusting the therapy caps was limited by sample size. CONCLUSIONS: Equal discipline-specific caps for physical therapy, occupational therapy, and speech-language pathology are more equitable to high users of both physical therapy and speech-language pathology than current cap policy. Separating the physical therapy and speech-language pathology caps is a change that policy makers could consider. Risk adjustment of the therapy caps is a first step in incorporating beneficiary need for services into Medicare outpatient therapy payment policy.