Stacey L. Tannenbaum

Participation in Cancer Clinical Trials Why Are Patients Not Participating

Background. Participation in cancer clinical trials is low, particularly in racial and ethnic minorities in some cases, which has negative consequences for the generalizability for study findings. The objective of this study was to determine what factors are associated with patients’ participation or willingness to participate and whether these factors vary by race/ethnicity. Design or Methods. White, Hispanic, and black participants were obtained through the Florida cancer registry and who were diagnosed with breast, lung, colorectal, or prostate cancer (N = 1100). Participants were surveyed via telephone to obtain demographic information, past participation, and willingness to participate in clinical trials, as well as barriers and facilitators to participation. Logistic and Poisson regressions were performed. Results. Respondents were on average 67.4 years old, 42.7% were male, and 50.1% were married. In this population, 7.7% of respondents had participated in a clinical trial, and 36.5% stated that they would be willing to participate. In multivariate models, blacks and Hispanics were equally likely as whites to be willing to participate in cancer trials, but Hispanics were less likely to have participated, and this was especially more likely in non–English-speaking Hispanics compared with English-speaking Hispanics. Notable barriers across race/ethnicity were mistrust and lack of knowledge of clinical trials. Limitations. Cross-sectional design limits cause-and-effect conclusions. Conclusions. There are racial differences in participation rates but not in willingness to participate. We hypothesize that willingness to participate is not very high because people are uninformed about participating, particularly in non–English-speaking Hispanics. Barriers and facilitators to participation vary by race. Improved understanding of cultural differences that can be addressed by physicians may restore faith, comprehension, and acceptability of clinical trials by all patients.

Survival disparities in non-small cell lung cancer by race, ethnicity, and socioeconomic status.

PurposeNon–small cell lung cancer (NSCLC) is among the leading causes of cancer death in the United States. Previous studies found mixed results regarding disparities in survival by race, ethnicity, and socioeconomic status (SES). However, race comparisons were usually limited, with comparisons made between black and white patients only or by merging race and ethnicity together as non-Hispanic black, non-Hispanic white, and Hispanic patients. Even fewer studies included race, ethnicity, and SES together while controlling for extensive confounding variables. Thus, because we have access to a large and unique population-based database that includes tumor characteristics and patient comorbidities, the purpose of this study was to explore disparities in NSCLC survival. MethodsWe linked data from the 1996 to 2007 Florida Cancer Data System registry to the Florida’s Agency for Health Care Administration and the US Census (n = 98,541). Survival time was from date of diagnosis to death or last contact. Race was white, black, Native American, Asian, Pacific Islander, Asian Indian/Pakistani, or other. Ethnicity was non-Hispanic or Hispanic. Socioeconomic status was measured as percentage of the participant’s census tract living below the federal poverty line. Median survival and survival rates were calculated by Kaplan-Meier method. Cox proportional hazards regression models produced unadjusted and adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs). ResultsThe majority of patients were white (91.9%) and non-Hispanic (94.1%). Blacks had the lowest median survival (8.4 months). At 5 years after diagnosis, survival rate was highest in whites (16.3%) and lowest for Pacific Islanders (6.4%). In the adjusted model, Asians had significantly improved survival compared with whites (HR, 0.85; 95% CI, 0.76–0.95). Patients in middle-low (HR, 0.96; 95% CI, 0.94–0.99), middle-high (HR, 0.92; 95% CI, 0.89–0.94), and highest (HR, 0.87; 95% CI, 0.84–0.91) SES areas had significantly improved survival compared with those in lowest areas. Significantly worse survival was found for patients with complicated diabetes (HR, 1.05; 95% CI, 1.01–1.08), weight loss (HR, 1.08; 95% CI, 1.06–1.11), fluid and electrolyte disorders (HR, 1.08; 95% CI, 1.06–1.11), and alcohol abuse (HR, 1.11; 95% CI, 1.07–1.14). DiscussionWe found strong evidence for racial and socioeconomic disparities in Floridian NSCLC survival. Asians had improved survival compared with whites, a novel finding. Our findings confirmed that patients living in lower socioeconomic neighborhoods have worse outcomes than their wealthier neighborhood counterparts. Finally, we found an association between some modifiable factors/comorbidities and worse survival. Clinicians may be able to use this information to improve patients’ likelihood of better outcomes.

Engagement in Mindfulness Practices by U.S. Adults: Sociodemographic Barriers

OBJECTIVE To examine the effect of sociodemographic factors on mindfulness practices. METHODS National Health Interview Survey Alternative Medicine Supplement data were used to examine sociodemographic predictors of engagement in meditation, yoga, tai chi, and qigong. RESULTS Greater education was associated with mindfulness practices (odds ratio [OR], 4.02 [95% confidence interval [CI], 3.50-4.61]), men were half as likely as women to engage in any practice, and lower engagement was found among non-Hispanic blacks and Hispanics. CONCLUSION Vulnerable population groups with worse health outcomes were less likely to engage in mindfulness practices.

Longitudinal relationships among visual acuity, daily functional status, and mortality: the Salisbury Eye Evaluation Study.

IMPORTANCE Determination of the mechanisms by which visual loss increases mortality risk is important for developing interventional strategies. OBJECTIVE To evaluate the direct and indirect effects of loss of visual acuity (VA) on mortality risk through functional status changes among aging adults. DESIGN, SETTING, AND PARTICIPANTS Prospective longitudinal study of a population-based sample of 2520 noninstitutionalized adults aged 65 to 84 years from September 16, 1993, through July 26, 2003, in the greater Salisbury area of Maryland. Participants underwent reassessment 2, 6, and 8 years after baseline. Mortality status was ascertained from linkage with the National Death Index through 2009. EXPOSURES Results of VA testing and self-reported functional status based on activities of daily living (ADL) and instrumental ADL (IADL). MAIN OUTCOMES AND MEASURE Mortality. RESULTS Worse VA levels at baseline were associated with an increased the risk for mortality (hazard ratio [HR], 1.16 [95% CI, 1.04-1.28]; P < .01) through their effect on lower IADL levels at baseline. Declines in VA over time were associated with increased mortality risk (HR, 1.78 [95% CI, 1.27-2.51]; P < .001) by way of decreasing IADL levels over time. Participants experiencing the mean linear decline in VA of 1 letter on the Early Treatment Diabetic Retinopathy Study acuity chart per year are expected to have a 16% increase in mortality risk during the 8-year study exclusively through associated declines in IADL levels. CONCLUSIONS AND RELEVANCE In this longitudinal study of older adults, VA loss adversely affected IADL levels, which subsequently increased the risk for mortality. Prevention of disabling ocular conditions, treatment of correctable visual impairment, and interventions designed to prevent the effect of visual impairment on IADL declines may all reduce mortality risk in aging adults.

Dilated eye examination screening guideline compliance among patients with diabetes without a diabetic retinopathy diagnosis: the role of geographic access

Objective To estimate the prevalence of, and factors associated with, dilated eye examination guideline compliance among patients with diabetes mellitus (DM), but without diabetic retinopathy. Research design and methods Utilizing the computerized billing records database, we identified patients with International Classification of Diseases (ICD)-9 diagnoses of DM, but without any ocular diagnoses. The available medical records of patients in 2007–2008 were reviewed for demographic and ocular information, including visits through 2010 (n=200). Patients were considered guideline compliant if they returned at least every 15 months for screening. Participant street addresses were assigned latitude and longitude coordinates to assess their neighborhood socioeconomic status (using the 2000 US census data), distance to the screening facility, and public transportation access. Patients not compliant, based on the medical record review, were contacted by phone or mail and asked to complete a follow-up survey to determine if screening took place at other locations. Results The overall screening compliance rate was 31%. Patient sociodemographic characteristics, insurance status, and neighborhood socioeconomic measures were not significantly associated with compliance. However, in separate multivariable logistic regression models, those living eight or more miles from the screening facility were significantly less likely to be compliant relative to those living within eight miles (OR=0.36 (95% CI 0.14 to 0.86)), while public transit access quality was positively associated with screening compliance (1.34 (1.07 to 1.68)). Conclusions Less than one-third of patients returned for diabetic retinopathy screening at least every 15 months, with transportation challenges associated with noncompliance. Our results suggest that reducing transportation barriers or utilizing community-based screening strategies may improve compliance.

Health Status of Older US Workers and Nonworkers, National Health Interview Survey, 1997–2011

Introduction Many US workers are increasingly delaying retirement from work, which may be leading to an increase in chronic disease at the workplace. We examined the association of older adults’ health status with their employment/occupation and other characteristics. Methods National Health Interview Survey data from 1997 through 2011 were pooled for adults aged 65 or older (n = 83,338; mean age, 74.6 y). Multivariable logistic regression modeling was used to estimate the association of socioeconomic factors and health behaviors with 4 health status measures: 1) self-rated health (fair/poor vs good/very good/excellent); 2) multimorbidity (≤1 vs ≥2 chronic conditions); 3) multiple functional limitations (≤1 vs ≥2); and 4) Health and Activities Limitation Index (HALex) (below vs above 20th percentile). Analyses were stratified by sex and age (young–old vs old–old) where interactions with occupation were significant. Results Employed older adults had better health outcomes than unemployed older adults. Physically demanding occupations had the lowest risk of poor health outcomes, suggesting a stronger healthy worker effect: service workers were at lowest risk of multiple functional limitations (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.71–0.95); and blue-collar workers were at lowest risk of multimorbidity (OR, 0.84; 95% CI, 0.74–0.97) and multiple functional limitation (OR, 0.84; 95% CI, 0.72–0.98). Hispanics were more likely than non-Hispanic whites to report fair/poor health (OR, 1.62; 95% CI, 1.52–1.73) and lowest HALex quintile (OR, 1.21; 95% CI, 1.13–1.30); however, they were less likely to report multimorbidity (OR, 0.78; 95% CI, 0.73–0.83) or multiple functional limitations (OR, 0.82; 95% CI, 0.77–0.88). Conclusion A strong association exists between employment and health status in older adults beyond what can be explained by socioeconomic factors (eg, education, income) or health behaviors (eg, smoking). Disability accommodations in the workplace could encourage employment among older adults with limitations.

Prevalence of Mindfulness Practices in the US Workforce: National Health Interview Survey

Introduction Mindfulness-based practices can improve workers’ health and reduce employers’ costs by ameliorating the negative effect of stress on workers’ health. We examined the prevalence of engagement in 4 mindfulness-based practices in the US workforce. Methods We used 2002, 2007, and 2012 National Health Interview Survey (NHIS) data for adults (aged ≥18 y, n = 85,004) to examine 12-month engagement in meditation, yoga, tai chi, and qigong among different groups of workers. Results Reported yoga practice prevalence nearly doubled from 6.0% in 2002 to 11.0% in 2012 (P < .001); meditation rates increased from 8.0% in 2002 to 9.9% in 2007 (P < .001). In multivariable models, mindfulness practice was significantly lower among farm workers (odds ratio [OR] = 0.42; 95% confidence interval [CI], 0.21–0.83]) and blue-collar workers (OR = 0.63; 95% CI, 0.54–0.74) than among white-collar workers. Conclusion Worker groups with low rates of engagement in mindfulness practices could most benefit from workplace mindfulness interventions. Improving institutional factors limiting access to mindfulness-based wellness programs and addressing existing beliefs about mindfulness practices among underrepresented worker groups could help eliminate barriers to these programs.

Visual Acuity and Increased Mortality: The Role of Allostatic Load and Functional Status

PURPOSE Poor vision may detrimentally impact functional status and affect allostatic load (AL), a measure of cumulative physiological wear and tear on the bodys regulatory systems. We examined the direct effects of visual acuity (VA) on mortality and its indirect effect on mortality through its impact on functional status and AL in older adults. METHODS Data from 4981 participants (age ≥ 60 years) from the 1999-2004 National Health and Nutrition Examination Survey (NHANES) with mortality linkage through 2006 were analyzed. Functional status was assessed by activities of daily living (ADL) and instrumental activities of daily living (IADL). The AL index was composed of 10 biomarkers: systolic and diastolic blood pressures, body mass index (BMI), glycosylated hemoglobin, total cholesterol, triglycerides, albumin, C-reactive protein, homocysteine, and creatinine clearance. Visual acuity was categorized as no (20/20-20/25), mild (20/30-20/40), moderate (20/50-20/80), or severe (≥20/200) visual impairment. Structural equation modeling using three mediating variables representing ADL, IADL, and AL examined the effects of VA on all-cause and cardiovascular disease (CVD)-related mortality. RESULTS Adjusting for all covariates, a one-unit change in VA category increased mortality risk (hazard ratio [HR] = 1.17; 95% confidence interval [CI] 1.05, 1.32); IADL and AL predicted mortality (HR = 1.15; CI 1.10, 1.20 and HR = 1.13; CI 1.06, 1.20, respectively). Activities of daily living did not predict mortality (HR = 0.98; CI 0.91, 1.05). Worse VA was associated with increased AL (β = 0.11; P = 0.013) and worse IADL (β = 1.06; P < 0.001). Worse VA increased mortality risk indirectly through AL (HR = 1.01; CI 1.00, 1.03) and IADL (HR = 1.16; CI 1.09, 1.23). The total effect of VA on mortality including through IADL and AL was HR = 1.38 (CI 1.23, 1.54). Similar but slightly stronger patterns of association were found when examining CVD-related mortality, but not cancer-related mortality. CONCLUSIONS Allostatic load and particularly IADL may function as mediators between VA impairment and mortality. Older adults with VA impairment could potentially benefit from interventions designed to prevent IADL functional status decline to reduce the risk of mortality.

Longitudinal relationships between visual acuity and severe depressive symptoms in older adults: the Salisbury Eye Evaluation study

Objectives: To assess the longitudinal relationship between visual acuity (VA) and depressive symptoms (DSs) among older adults. Methods: A population-based sample of 2520 white and black individuals aged 65–84 years in 1993--1995 was assessed at baseline and at two, six, and eight years later. Presenting and best-corrected VA was assessed using early treatment diabetic retinopathy study chart. DSs were assessed using the severe depression subscale of General Health Questionnaire 28. Latent growth curve models estimated VA and DS trajectories and age-adjusted associations between trajectories. Results: Best-corrected logMAR VA worsened over time (slope = 0.026, intercept = 0.013, both p < 0.001). No change in DS over time was observed (slope = −0.001, p = 0.762; intercept = 1.180, p < 0.001). However, a small change in DS was observed in participants who completed all rounds (slope = 0.005, p = 0.015). Baseline VA levels correlated with baseline DS levels (r = 0.14, p < 0.001). Baseline DS was associated with best-corrected VA change (r = 0.17, p = 0.01). Baseline best-corrected VA was not associated with DS change (r = 0.017, p = 0.8). Best-corrected VA change was not significantly associated with DS change (r = −0.03, p = 0.7). Discussion: DSs are significantly associated with VA cross-sectionally, and persons with higher baseline DS scores were more likely to experience worsening VA over time. The complex relationship between visual impairment and DS suggests the need for a continued effort to detect and treat both visual decline and severe DSs in a growing elderly population.

Factors associated with contralateral preventive mastectomy

Introduction Contralateral prophylactic mastectomy (CPM) is an option for women who wish to reduce their risk of breast cancer or its local recurrence. There is limited data on demographic differences among patients who choose to undergo this procedure. Methods The population-based Florida cancer registry, Florida’s Agency for Health Care Administration data, and US census data were linked and queried for patients diagnosed with invasive breast cancer from 1996 to 2009. The main outcome variable was the rate of CPM. Primary predictors were race, ethnicity, socioeconomic status (SES), marital status and insurance status. Results Our population was 91.1% White and 7.5% Black; 89.1% non-Hispanic and 10.9% Hispanic. Out of 21,608 patients with a single unilateral invasive breast cancer lesion, 837 (3.9%) underwent CPM. Significantly more White than Black (3.9% vs 2.8%; P<0.001) and more Hispanic than non-Hispanic (4.5% vs 3.8%; P=0.0909) underwent CPM. Those in the highest SES category had higher rates of CPM compared to the lowest SES category (5.3% vs 2.9%; P<0.001). In multivariate analyses, Blacks compared to Whites (OR =0.59, 95% CI =0.42–0.83, P=0.002) and uninsured patients compared to privately insured (OR =0.60, 95% CI =0.36–0.98, P=0.043) had significantly less CPM. Conclusion CPM rates were significantly different among patients of different race, socio-economic class, and insurance coverage. This observation is not accounted for by population distribution, incidence or disease stage. More in-depth study of the causes of these disparities in health care choice and delivery is critically needed.