Cecily Luncheon

Monitoring population health for Healthy People 2020: evaluation of the NIH PROMIS Global Health, CDC Healthy Days, and satisfaction with life instruments

PurposeHealthy People 2020 identified health-related quality of life and well-being (WB) as indicators of population health for the next decade. This study examined the measurement properties of the NIH PROMIS® Global Health Scale, the CDC Healthy Days items, and associations with the Satisfaction with Life Scale.MethodsA total of 4,184 adults completed the Porter Novelli’s HealthStyles mailed survey. Physical and mental health (9 items from PROMIS Global Scale and 3 items from CDC Healthy days measure), and 4 WB factor items were tested for measurement equivalence using multiple-group confirmatory factor analysis.ResultsThe CDC items accounted for similar variance as the PROMIS items on physical and mental health factors; both factors were moderately correlated with WB. Measurement invariance was supported across gender and age; the magnitude of some factor loadings differed between those with and without a chronic medical condition.ConclusionsThe PROMIS, CDC, and WB items all performed well. The PROMIS items captured a broad range of functioning across the entire continuum of physical and mental health, while the CDC items appear appropriate for assessing burden of disease for chronic conditions and are brief and easily interpretable. All three measures under study appear to be appropriate measures for monitoring several aspects of the Healthy People 2020 goals and objectives.

Satisfaction with life domains in people with epilepsy

While commonly used quality-of-life instruments assess perceived epilepsy-associated limitations in life domains and formally document patient concerns, less is known of community-dwelling adults with epilepsy about their satisfaction with broader life domains, such as satisfaction with housing, education, neighborhood, ability to help others, and achievement of goals. The purpose of this study was to examine satisfaction with life domains in a representative sample of community-dwelling adults with self-reported epilepsy from the 2008 HealthStyles survey. Following adjustment for sex, age group, race/ethnicity, education, and income, people with epilepsy were more likely to report frustration in the domains of achievement (e.g., dissatisfaction with education and life goals), compromised social interactions (dissatisfaction with family life, friends, and social life), and compromised physical capability (dissatisfaction with health and energy level). Life satisfaction and other well-being domains can supplement health indicators to guide treatment and program services for people with epilepsy to maximize their well-being.

Mental, social, and physical well-being in New Hampshire, Oregon, and Washington, 2010 Behavioral Risk Factor Surveillance System: implications for public health research and practice related to Healthy People 2020 foundation health measures on well-being.

BackgroundWell-being is now accepted as one of four cross-cutting measures in gauging progress for Healthy People 2020. This shift to population indicators of well-being redresses notions of health that have focused on absence of illness (negative health) as a primary or sufficient indicator of positive functioning. The purpose of this study was to estimate mental, social, and physical well-being in three US states using new measures piloted on the 2010 Behavioral Risk Factor Surveillance Survey System (BRFSS). Baseline estimates were provided for states overall, and within states for demographic subgroups, those with chronic health conditions or disabilities, and those with behavioral risk factors.MethodsTen validated questions designed to assess mental (e.g., satisfaction with life, satisfaction with life domains, happiness), physical (e.g., satisfaction with energy level), and social dimensions (e.g., frequency of social support) of well-being were selected with state input for inclusion on BRFSS. 18,622 individuals responded to the BRFSS surveys administered by New Hampshire (N = 3,139), Oregon (N = 2,289), and Washington (N = 13,194). Multivariate adjusted proportions of positive responses to well-being items were examined.ResultsAfter adjustment for confounders, about 67% of adults in these states had high levels of well-being, including >80% reporting experiencing happiness. Most adults were satisfied with their work, neighborhood, and education, but significant differences were seen in subgroups. Well-being differed by demographic characteristics such as marital status, health behaviors, chronic conditions, and disability status, with those who reported a disability and smokers consistently experiencing the worst well-being.ConclusionsWell-being is accepted as one of four cross-cutting measures in gauging progress for Healthy People 2020. Well-being differs by important sociodemographic factors and health conditions (e.g., age, employment, smoking, disability status). These findings provide baseline estimates for the three states to use in gauging improvements in well-being and can serve as a model for other state-level or national surveillance systems. These findings also assist states in identifying vulnerable subgroups who may benefit from potential interventions such as those in the National Prevention Strategy that focus on enhancing well-being where such disparities exist.

Health-Related Quality of Life Among US Veterans and Civilians by Race and Ethnicity

Introduction Among veterans, having been selected into the military and having easy access to medical care during and after military service may reduce premature mortality but not morbidity from mental distress and may not improve health-related quality of life. The objective of this study was to determine whether veterans in different racial/ethnic groups differ in their health-related quality of life from each other and from their civilian counterparts. Methods Among 800,000 respondents to the 2007–2009 Behavioral Risk Factor Surveillance System surveys, approximately 110,000 identified themselves as veterans and answered questions about their sociodemographic characteristics, self-rated health, and recent health-related quality of life. Nonoverlapping 95% confidence intervals of means distinguished veterans and civilians of different racial/ethnic groups. Results Veteran and civilian American Indians/Alaska Natives reported more physically unhealthy days, mentally unhealthy days, and recent activity limitation days than their veteran and civilian counterparts in other racial/ethnic groups. Non-Hispanic white veterans and Hispanic veterans reported more physically unhealthy days, mentally unhealthy days, and recent activity limitation days than their civilian counterparts. Conclusion Unlike findings in other studies, our findings show that veterans’ health-related quality of life differs from that of civilians both within the same racial/ethnic group and among different racial/ethnic groups. Because once-healthy soldiers may not be as healthy when they return to civilian life, assessing their health-related quality of life over time may identify those who need help to regain their health.

Adults with an epilepsy history, notably those 45–64 years old or at the lowest income levels, more often report heart disease than adults without an epilepsy history

From 95,196 sample adults in the combined 2010, 2013, and 2015 U.S. National Health Interview Survey, we estimated the association between histories of epilepsy and heart disease after accounting for sociodemographic characteristics and behavioral risk factors. Adults 18 years old or older with an epilepsy history reported heart disease (21%) about nine percentage points more often than those without such a history (12%), overall and within levels of characteristics and risk factors. These increases in heart disease history for adults with an epilepsy history compared with adults without such a history were greater in those 45-64 years old or at the lowest family income levels. These increases of heart disease in adults with an epilepsy history highlight two needs-to prevent the occurrence of heart disease and to reduce its consequences. Because comorbidity from heart disease can complicate epilepsy management, physicians caring for those with epilepsy should be aware of these increased risks, identify risk factors for heart disease, and recommend to their patients with epilepsy ways to diminish these risks.