K. Annunziata

Impact of hypoglycemia on patients with type 2 diabetes mellitus and their quality of life, work productivity, and medication adherence.

Background The purpose of this study was to determine the characteristics of adults with type 2 diabetes mellitus (T2DM) that correlate with greater risk of hypoglycemia and determine the impact of hypoglycemia on health-related quality of life, work productivity, and medication adherence from a patient perspective. Methods Data from a large web-based survey were retrospectively analyzed. Adults with a diagnosis of T2DM taking antihyperglycemic agents were included in the analysis. Participants with knowledge of their hypoglycemic history were divided into three groups: those experiencing recent hypoglycemia (previous 3 months), those experiencing nonrecent hypoglycemia, and those never experiencing hypoglycemia. Results Of the participants with T2DM taking antihyperglycemic agents who were knowledgeable of their hypoglycemia history, 55.7% had ever experienced hypoglycemia. Of those, 52.7% had recent hypoglycemia. Compared with those who never experienced hypoglycemia, those who experienced hypoglycemia tended to: be younger; be more aware of their glycated hemoglobin (HbA1c) levels; have higher HbA1c levels; have a higher body mass index; have higher Charlson Comorbidity Index scores; be on insulin, sulfonylureas, and/or glucagon-like peptide-1 agonists; and be less adherent to their antihyperglycemic agents. Hypoglycemia interfered with social activities, caused more missed work (absenteeism), more impairment while at work (presenteeism), and decreased overall work productivity compared with patients who had never experienced hypoglycemia. Overall health-related quality of life, as determined by the Short Form-36 health questionnaire, was negatively impacted by hypoglycemia. Both Physical and Mental Summary scores were significantly lower for the recent hypoglycemia and nonrecent hypoglycemia groups compared with the never hypoglycemia group. Conclusion Hypoglycemia can negatively impact many aspects of life. Greater awareness of those who are at risk for developing hypoglycemia can lead to the development of measures (eg, patient and physician education) to prevent future hypoglycemia episodes.

Characterization of type 2 diabetes mellitus burden by age and ethnic groups based on a nationwide survey.

BACKGROUND Type 2 diabetes mellitus (T2DM) is the most common form of diabetes. Risk factors for its development include older age, obesity, family history of diabetes, history of gestational diabetes, impaired glucose metabolism, physical inactivity, and race/ethnicity. OBJECTIVE The purpose of this study was to characterize T2DM burden, from a patient perspective, with respect to age and race/ethnicity. METHODS Adults aged ≥18 years with T2DM from a large, Internet-based, nationwide survey were retrospectively analyzed. Demographic and clinical characteristics (glycemic control, body mass index [BMI], comorbidities, and diabetes-related complications), hypoglycemic episodes, and medication adherence were used to assess diabetes burden. Degree of burden was compared across age (18-64, 65-74, and ≥75 years) and racial/ethnic (white, African American, Hispanic, Asian, and American Indian) groups. RESULTS An apparent association was found between glycemic control and medication adherence. Hispanics had the lowest percentage of participants with a hemoglobin A1c (HbA1c) level <7.0% (24.4%) and the highest percentage of those not knowing their HbA1c levels (55.4%) but also had the poorest medication adherence among racial/ethnic groups. Conversely, American Indians and whites had the best glycemic control, HbA1c knowledge, and medication adherence. The 18- to 64-year age group had the poorest glycemic control (28.8%), the most with unknown HbA1c levels (46.3%), and the poorest medication adherence of the age groups. Mean BMIs were high (>30 mg/kg(2)) for all racial/ethnic groups other than the Asian group (28.9 mg/kg(2)). Approximately 71% of Asians were obese or overweight compared with ≥90% in the other racial/ethnic groups. Mean BMIs decreased with increasing age group (34.5, 32.6, and 29.8 kg/m(2) for the age groups of 18-64, 65-74, and ≥75 years, respectively). Regarding diabetes-related comorbidities, the Asian group had the lowest percentages of those with hypertension (39.1%) and hypercholesterolemia (46.6%). The Asian group had the lowest mean Charlson Comorbidity Index (CCI) score (score of 1.4); the American Indian group had the highest CCI score (score of 1.8). Of the age groups, the 65- to 74-year group had the highest percentages of those with hypertension (69.0%) and hypercholesterolemia (67.4%). The mean CCI scores in the 65- to 74-year and ≥75-year age groups (scores of 1.8 for both) were significantly higher than in the 18- to 64-year age group. The Asian group had the lowest percentage of participants reporting hypoglycemia (37.3%). The 18- to 64-year age group had the highest percentage of participants reporting hypoglycemia (52.7%). Limitations of this study include selection bias (Internet-based survey), recall bias, missing values, and descriptive analyses without adjustment for multiplicity. CONCLUSION There are many factors that contribute to diabetes burden and the complexity of diabetes management. The results of this study provide insight from a patient perspective regarding how these factors vary across age and race/ethnicity to aid in the individualization of diabetes treatment.

Vaccination Rates among the General Adult Population and High-Risk Groups in the United States

Background In order to adequately assess the effectiveness of vaccination in helping to control vaccine-preventable infectious disease, it is important to identify the adherence and uptake of risk-based recommendations. Methods The current project includes data from five consecutive datasets of the National Health and Wellness Survey (NHWS): 2007 through 2011. The NHWS is an annual, Internet-based health questionnaire, administered to a nationwide sample of adults (aged 18 or older) which included items on vaccination history as well as high-risk group status. Vaccination rates and characteristics of vaccinees were reported descriptively. Logistic regressions were conducted to predict vaccination behavior from sociodemographics and risk-related variables. Results The influenza vaccination rate for all adults 18 years and older has increased significantly from 28.0% to 36.2% from 2007 to 2011 (ps<.05). Compared with those not at high risk (25.1%), all high-risk groups were vaccinated at a higher rate, from 36.8% (pregnant women) to 69.7% (those with renal/kidney disease); however, considerable variability among high-risk groups was observed. Vaccination rates among high-risk groups for other vaccines varied considerably though all were below 50%, with the exception of immunocompromised respondents (57.5% for the hepatitis B vaccine and 52.5% for the pneumococcal vaccine) and the elderly (50.4% for the pneumococcal). Multiple risk factors were associated with increased rate of vaccination for most vaccines. Significant racial/ethnic differences with influenza, hepatitis, and herpes zoster vaccination rates were also observed (ps<.05). Conclusions Rates of influenza vaccination have increased over time. Rates varied by high-risk status, demographics, and vaccine. There was a pattern of modest vaccination rate increases for individuals with multiple risk factors. However, there were relatively low rates of vaccination for most risk-based recommendations and all fell below national goals.

The prevalence, predictors and associated health outcomes of high nicotine dependence using three measures among US smokers

AIMS Using the Fagerström Test of Nicotine Dependence (FTND), the Heaviness of Smoking Index (HSI) and the time-to-first-cigarette (TTFC), this study estimated prevalence, evaluated optimal scale cut-offs, identified predictors and assessed potential impact on health, productivity and health-care use of high nicotine dependence among US smokers. DESIGN, SETTING AND PARTICIPANTS This cross-sectional study used 2011 National Health and Wellness Survey data (n = 50 000). MEASUREMENTS Nicotine dependence, demographic data, measures of health, productivity and health-care use and health attitudes were assessed. FINDINGS The prevalence of high nicotine dependence ranged from 23% (TTFC < 5 minutes) to 63.6% (TTFC < 30 minutes). Based on diagnostic accuracy, the cut-offs for high nicotine dependence using HSI and TTFC varied according to FTND cut-off: if FTND > 4, then HSI > 3 and TTFC < 30 minutes represented optimal cut-offs; if FTND > 5, HSI > 4 and TTFC < 5 minutes represented optimal cut-offs. Across all measures, high nicotine dependence was related significantly to being male, single, age 45-64 years and Caucasian; lower education; lack of health insurance; under/unemployment; comorbid respiratory or cardiovascular disease, diabetes or psychiatric illness; and lower rates of exercise and concern for weight control. Controlling for demographic variables and comorbid physical and psychiatric illness, high nicotine dependence, measured by FTND, HSI or TTFC, was associated significantly with reduced mental and physical quality of life, reduced work-place productivity and more health-care use. CONCLUSIONS High nicotine dependence is associated with lower quality of life, lower work productivity and higher health-care use. The Heaviness of Smoking Index and the time-to-first-cigarette can provide useful screening measures of nicotine dependence in clinical and research settings.

Smoking Cessation and Attempted Cessation among Adults in the United States

Aims With growing recognition of stagnant rates of attempted cigarette smoking cessation, the current study examined demographic and psychometric characteristics associated with successful and attempted smoking cessation in a nationally representative sample. This additional understanding may help target tobacco cessation treatments toward sub-groups of smokers in order to increase attempts to quit smoking. Design, setting, and participants Data were used from the 2011 U.S. National Health and Wellness Survey (n = 50,000). Measurements Current smoking status and demographics, health characteristics, comorbidities, and health behaviors. Findings In 2011, 18%, 29%, and 52% of U.S. adults were current, former, or never smokers, respectively. Over one quarter (27%) of current smokers were attempting to quit. Current smokers (vs. others) were significantly more likely to be poorer, non-Hispanic White, less educated, ages 45–64, and uninsured, and they had fewer health-conscious behaviors (e.g., influenza vaccination, exercise). Attempting quitters vs. current smokers were significantly less likely to be non-Hispanic White and more likely to be younger, educated, insured, non-obese, with family history of chronic obstructive pulmonary disease, and they had more health-conscious behaviors. Conclusions Smokers, attempting quitters, and successful quitters differ on characteristics that may be useful for targeting and personalizing interventions aiming to increase cessation attempts, likelihood, and sustainability.

Prevalence, Awareness, Treatment, and Burden of Major Depressive Disorder: Estimates from the National Health and Wellness Survey in Brazil

OBJECTIVE Major depressive disorder (MDD) is often underdiagnosed, undertreated, and associated with negative health outcomes. The current study examined the prevalence of MDD signs and symptoms in Brazil, including awareness, diagnosis, treatment, and the association of MDD with health outcomes. METHODS Data were collected from the 2011 National Health and Wellness Survey in Brazil (N = 12,000). Excluding those with bipolar disorder, respondents who met Patient Health Questionnaire-9 criteria for MDD (n = 1105) were compared with those not qualifying as having MDD or any depressive symptoms (n = 8684), analyzing separately those currently taking (n = 184) or not taking (n = 155) prescription medication for depression. Sociodemographics and health status, symptoms, experience of depression, diagnosis, MDD severity, pharmacotherapy, productivity impairment (Work Productivity and Activity Impairment questionnaire), health status (Short-Form 12, version 2), and health care resource use were measured. Results were weighted and projected to the Brazil adult population. Differences were measured with column proportion and mean tests for categorical and continuous outcomes, respectively. RESULTS MDD prevalence was 10.2%, with only 28.1% of the individuals with MDD diagnosed and 15.6% currently using prescription medication for depression. Males were especially likely to be unaware of MDD. Compared with non-MDD controls, patients with MDD (treated or untreated) reported significantly greater overall work impairment, worse mental and physical health status, and greater health care resource utilization (all P<0.05). There was a trend for worsening health outcomes with increasing MDD severity. CONCLUSIONS These findings suggest that Brazilians may be underdiagnosed and undertreated for MDD. Individuals with MDD reported substantially poorer health outcomes, suggesting the need to increase MDD awareness, especially among males, and provide better access to treatment.

Economic Burden of Controlled Gout, Uncontrolled Gout, and Gout Exacerbated By Common Comorbidities: Results From The 2012-2013 National Health and Wellness Survey

• Based on adjusted cost comparisons, patients with uncontrolled gout incur more than 1.3 times the costs compared with no-gout controls • Uncontrolled gout results in significantly higher total costs than controlled gout and no-gout controls • The lack of significance, after adjusting for covariates, between controlled gout and no-gout controls suggests that controlling one’s symptoms may normalize some of the cost burden, likening those with controlled gout to those without the condition Introduction

PDB9 DIABETES RISK ASSESSMENT–APPLICATION AND VALIDATION OF A DIABETES SCREENING SCORE APPLIED TO THE NATIONAL HEALTH AND WELLNESS SURVEY

METHODS: Data from the 2009 National Health and Wellness Survey (NHWS), a national survey of the US population, were used to apply an adapted version of a recently developed scoring algorithm/prediction model to identify patients at-risk for screening for pre-diabetes and undiagnosed diabetes. The algorithm combines six risk factors to generate total risk scores: age, gender, family history of hypertension, high blood pressure, obesity, and physical activity. Estimates of the national (weighted) prevalence of those at risk together with key health status attributes were generated. The NHWS data were then used to fit the prediction model (via logistic regression) in order to assess the statistical significance of the identified risk factors. Other validation measures were also computed.

PDB37 THE IMPACT OF DIABETES ON WORKPLACE ABSENTEEISM AND PRESENTEEISM: A COMPARISON OF CHINA AND JAPAN

Kivimaki M, Vahyera J, Pentti J et al. Increased sickness absence in diabetic employees: what is the role of comorbid conditions. Diabet Med. 2007;24(9):1043-8. Stewart WF, Ricci JA, Chee E et al. Lost productive time and costs due to diabetes and diabetic neuropathic pain in the US workforce. J Occup Environ Med. 2007;49 (6):672-9. Vijan S, Hayward RA, Langa KM, The impact of diabetes on workforce participation: results from a national household sample. Health Serv Res. 2004;39(6 Pt 1):1653-69. Abstract

Contraception Patterns In Brazil: 2012 National Survey Data.

Poster Presented at the ISPOR 5th Latin America Conference 6 -8 September 2015 Santiago, Chile ©Copyright 2015 Evidências Credibilidade Científica, A Kantar Health Company Alameda Lorena, 131, Conj. 115 e 117, Jardim Paulista São Paulo, SP 01424-001 Brazil + 55-11-3884-0942 www.evidencias.com.br www.kantarhealth.com 1Evidencias – Kantar Health, São Paulo, Brazil; 2Kantar Health, Horsham, PA, USA; 3Kantar Health, New York, NY, USA ; 4Kantar Health, Princeton, NJ, USA