Peter Franks

Disparities in Health Care by Race, Ethnicity, and Language Among the Insured:Findings From a National Sample

Background: Racial and ethnic disparities in health care have been well documented, but poorly explained. Objective: To examine the effect of access barriers, including English fluency, on racial and ethnic disparities in health care. Research Design: Cross-sectional analysis of the Community Tracking Survey (1996–1997). Subjects: Adults 18 to 64 years with private or Medicaid health insurance. Measures: Independent variables included race, ethnicity, and English fluency. Dependent variables included having had a physician or mental health visit, influenza vaccination, or mammogram during the past year. Results: The health care use pattern for English-speaking Hispanic patients was not significantly different than for non-Hispanic white patients in the crude or multivariate models. In contrast, Spanish-speaking Hispanic patients were significantly less likely than non-Hispanic white patients to have had a physician visit (RR, 0.77; 95% CI, 0.72–0.83), mental health visit (RR, 0.50; 95% CI, 0.32–0.76), or influenza vaccination (RR, 0.30; 95% CI, 0.15–0.52). After adjustment for predisposing, need, and enabling factors, Spanish-speaking Hispanic patients showed significantly lower use than non-Hispanic white patients across all four measures. Black patients had a significantly lower crude relative risk of having received an influenza vaccination (RR, 0.73; 95% CI, 0.58–0.87). Adjustment for additional factors had little impact on this effect, but resulted in black patients being significantly less likely than non-Hispanic white patients to have had a visit with a mental health professional (RR, 0.46; 95% CI, 0.37–0.55). Conclusions: Among insured nonelderly adults, there are appreciable disparities in health-care use by race and Hispanic ethnicity. Ethnic disparities in care are largely explained by differences in English fluency, but racial disparities in care are not explained by commonly used access factors.

The Cost of Satisfaction: A National Study of Patient Satisfaction, Health Care Utilization, Expenditures, and Mortality

BACKGROUND Patient satisfaction is a widely used health care quality metric. However, the relationship between patient satisfaction and health care utilization, expenditures, and outcomes remains ill defined. METHODS We conducted a prospective cohort study of adult respondents (N = 51,946) to the 2000 through 2007 national Medical Expenditure Panel Survey, including 2 years of panel data for each patient and mortality follow-up data through December 31, 2006, for the 2000 through 2005 subsample (n = 36,428). Year 1 patient satisfaction was assessed using 5 items from the Consumer Assessment of Health Plans Survey. We estimated the adjusted associations between year 1 patient satisfaction and year 2 health care utilization (any emergency department visits and any inpatient admissions), year 2 health care expenditures (total and for prescription drugs), and mortality during a mean follow-up duration of 3.9 years. RESULTS Adjusting for sociodemographics, insurance status, availability of a usual source of care, chronic disease burden, health status, and year 1 utilization and expenditures, respondents in the highest patient satisfaction quartile (relative to the lowest patient satisfaction quartile) had lower odds of any emergency department visit (adjusted odds ratio [aOR], 0.92; 95% CI, 0.84-1.00), higher odds of any inpatient admission (aOR, 1.12; 95% CI, 1.02-1.23), 8.8% (95% CI, 1.6%-16.6%) greater total expenditures, 9.1% (95% CI, 2.3%-16.4%) greater prescription drug expenditures, and higher mortality (adjusted hazard ratio, 1.26; 95% CI, 1.05-1.53). CONCLUSION In a nationally representative sample, higher patient satisfaction was associated with less emergency department use but with greater inpatient use, higher overall health care and prescription drug expenditures, and increased mortality.

Sociodemographics, self-rated health, and mortality in the US.

Using data from the 1987 National Medical Expenditure Survey, a representative sample of US civilians, and their 5-year mortality, we examined the adjusted relationships among baseline self-reported health, derived from SF-20 subscales (health perceptions, physical function, role function and mental health) and sociodemographics (age, sex, race/ethnicity, income and education) and subsequent mortality. Included were 21,363 persons aged 21 and over, with complete follow-up on 19,812. Physical function showed the greatest decline with age, whereas mental health increased slightly. Women reported lower health for all scales except role function. Greater income was associated with better health, least marked for mental health. Greater education was associated with better health, most marked for health perceptions. Compared with whites, blacks reported lower health, whereas Latinos reported higher health. Lower self-reported health predicted increased adjusted mortality. After adjustment for baseline self-rated health, the relationships between income and education and mortality were greatly attenuated, whereas the relationships between age, gender, race/ethnicity and mortality were not. Self-rated health exhibited more profound relationships with mortality in younger persons, those with more education, and whites. In conclusion, lower socioeconomic status (SES), and being black are associated with lower reported health status and higher mortality; women report lower health status but exhibit lower mortality; and Latinos report higher health status and exhibit lower mortality. The effects of SES on mortality are largely explained by their associations with self-rated health, whereas, the effects of gender and race/ethnicity on mortality appear to act through independent pathways. Because of these differential sociodemographic relationships caution is urged when using self-rated health measures in research, clinical, and policy settings.

Patient trust: Is it related to patient-centered behavior of primary care physicians?

Background:Patients’ trust in their health care providers may affect their satisfaction and health outcomes. Despite the potential importance of trust, there are few studies of its correlates using objective measures of physician behavior during encounters with patients. Methods:We assessed physician behavior and length of visit using audio tapes of encounters of 2 unannounced standardized patients (SPs) with 100 community-based primary care physicians participating in a large managed care organization. Physician behavior was assessed via 3 components of the Measure of Patient-Centered Communication (MPCC) scale. The Primary Care Assessment Survey (PCAS) trust subscale was administered to 50 patients from each physicians practice and to SPs. We used multilevel modeling to examine the associations between physicians’ Patient-Centered Communication during the SP visits and ratings of trust by both patients and SPs. Results:Component 1 of the MPCC, which explored the patients experience of the disease and illness, was independently associated with patients rating of trust in their physician. A 1 SD increase in this score was associated with 0.08 SD increase in trust (95% confidence interval 0.02–0.14). Each additional minute spent in SP visits was also independently associated with 0.01 SD increase in patient trust. (95% confidence interval 0.0001–0.02). Component 1 and visit length were also positively associated with SP trust ratings. Conclusions:Physician verbal behavior during an SP encounter is associated with trust reported by SPs and patients. Research is needed to determine whether interventions designed to enhance physicians’ exploration patients’ experiences of disease and illness improves trust.

Patient-Centered Communication and Diagnostic Testing

PURPOSE Although patient-centered communication is associated with improved health and patient trust, information about the impact of patient-centered communication on health care costs is limited. We studied the relationship between patient-centered communication and diagnostic testing expenditures. METHODS We undertook an observational cross-sectional study using covert standardized patient visits to study physician interaction style and its relationship to diagnostic testing costs. Participants were 100 primary care physicians in the Rochester, NY, area participating in a large managed care organization (MCO). Audio recordings of 2 standardized patient encounters for each physician were rated using the Measure of Patient-Centered Communication (MPCC). Standardized diagnostic testing and other expenditures, adjusted for patient demographics and case-mix, were derived from the MCO claims database. Analyses were adjusted for demographics and standardized patient detection. RESULTS Compared with other physicians, those who had MPCC scores in the lowest tercile had greater standardized diagnostic testing expenditures (11.0% higher, 95% confidence interval [CI], 4.5%–17.8%) and greater total standardized expenditures (3.5% higher, 95% CI, 1.0%–6.1%). Whereas lower MPCC scores were associated with shorter visits, adjustment for visit length and standardized patient detection did not affect the relationship with expenditures. Total (testing, ambulatory and hospital care) expenditures were also greater for physicians who had lower MPCC scores, an effect primarily associated with the effect on testing expenditures. CONCLUSIONS Patient-centered communication is associated with fewer diagnostic testing expenditures but also with increased visit length. Because costs and visit length may affect physicians’ and health systems’ willingness to endorse and practice a patient-centered approach, these results should be confirmed in future randomized trials.

Gender and the Burden of Disease Attributable to Obesity

OBJECTIVES We estimated the burden of disease in the United States attributable to obesity by gender, with life expectancy, quality-adjusted life expectancy, years of life lost annually, and quality-adjusted life years lost annually as outcome measures. METHODS We obtained burden of disease estimates for adults falling into the following body-mass index categories: normal weight (23 to <25), overweight (25 to <30), and obese (> or = 30). We analyzed the 2000 Medical Expenditure Panel Survey to obtain health-related quality-of-life scores and the 1990-1992 National Health Interview Survey linked to National Death Index data through the end of 1995 for mortality. RESULTS Overweight men and women lost 270,000 and 1.8 million quality-adjusted life years, respectively, relative to their normal-weight counterparts. Obese men and women lost 1.9 million and 3.4 million quality-adjusted life years, respectively, per year. Much of the burden of disease among overweight and obese women arose from lower health-related quality of life and late life mortality. CONCLUSIONS Relative to men, women suffer a disproportionate burden of disease attributable to overweight and obesity, mostly because of differences in health-related quality of life.

Relationship among sociodemographic factors, clinical conditions, and health-related quality of life: Examining the EQ-5D in the U.S. general population

Introduction: Health-related quality of life (HRQL) measures are used increasingly in evaluations of clinical and population-based outcomes and in economic analyses. We investigate the influence of demographic, socioeconomic, and chronic disease factors on the HRQL of a representative U.S. sample. Methods: We examined data from 13,646 adults in the 2000 Medical Expenditure Panel Survey, a nationally representative sample of the U.S. general population, who completed a self-administered questionnaire containing the EQ-5D, a preference-based measure. We assessed the relationships between EQ-5D scores and sociodemographic variables, including age, sex, race/ethnicity, income and education, and six common chronic conditions. Results: In fully adjusted models, EQ-5D scores decreased with increasing category of age and were lower for persons with a lower income and educational attainment as well as each of the six conditions. Although the EQ-5D scores were lower for females and Whites compared with Blacks such differences were not of a magnitude considered to be clinically important. Conclusions: In the U.S., sociodemographic factors and clinical conditions are strongly associated with scores on the EQ-5D. Population health studies and risk-adjustment models should account and adjust for these factors when assessing the performance of health programs and clinical care.

Physician gender, patient gender, and primary care.

BACKGROUND Studies of the effects of physician gender on patient care have been limited by selected samples, examining a narrow spectrum of care, or not controlling for important confounders. We sought to examine the role of physician and patient gender across the spectrum of primary care in a nationally representative sample, large enough to examine the role of gender concordance and adjust for confounding variables. METHODS We examined the relationships between physician and patient gender using nationally representative samples (the U. S. National Ambulatory Medical Care Surveys from 1985 to 1992) of encounters of 41,292 adult patients with 1470 primary care physicians (internists, family physicians, and obstetrician/gynecologists). Factors examined included physician (age, gender, region, rural location), patient (age, gender, race, insurance), and visit characteristics (diagnoses, gender-specific and nonspecific prevention, duration, continuity, and disposition). RESULTS After multivariate adjustment, female physicians were more likely to see female patients, had longer visit durations, and were more likely to perform female prevention procedures and make some follow-up arrangements and referrals. Female physicians were slightly more likely to check patients blood pressure, but there were no significant differences in other nongender-specific prevention procedures or use of psychiatric diagnoses. Among encounters without breast or pelvic examinations, visit length was not related to physician gender, but length was longer in gender concordant visits than gender-discordant visits. CONCLUSIONS Female physicians were more likely to deliver female prevention procedures, but few other physician gender differences in primary care were observed. Physician-patient gender concordance was a key determinant of encounters.

Determinants of Racial/Ethnic Colorectal Cancer Screening Disparities

BACKGROUND The contributions of demographic, socioeconomic, access, language, and nativity factors to racial/ethnic colorectal cancer (CRC) screening disparities are uncertain. METHODS Using linked data from 22 973 respondents to the 2001-2005 Medical Expenditure Panel Survey and the 2000-2004 National Health Interview Survey, we modeled disparities in CRC screening (fecal occult blood testing [FOBT], endoscopy, and combined FOBT and endoscopy) between non-Hispanic whites and Asians, blacks, and Hispanics, sequentially adjusting for demographics, socioeconomic status, clinical and access variables, and race/ethnicity-related variables (language spoken at home and nativity). RESULTS With demographic adjustment, minorities reported less CRC screening (all measures) than non-Hispanic whites. Disparities were largest for combined screening in Asians (adjusted odds ratio [AOR], 0.40; 95% confidence interval [CI], 0.32-0.49) and Hispanics (AOR, 0.43; 95% CI, 0.39-0.48) and for endoscopic screening in Asians (AOR, 0.41; 95% CI, 0.33-0.50) and Hispanics (AOR, 0.43; 95% CI, 0.38-0.48). With full adjustment, all Hispanic/non-Hispanic white disparities and black/non-Hispanic white FOBT disparities were eliminated, whereas Asian/non-Hispanic white disparities remained significant (FOBT: AOR, 0.72 [95% CI, 0.52-1.00]; endoscopic screening: AOR, 0.63 [95% CI, 0.49-0.81]; and combined screening: AOR, 0.66 [95% CI, 0.52-0.84]). CONCLUSIONS Determinants of racial/ethnic CRC screening disparities vary among minority groups, suggesting the need for different interventions to mitigate those disparities. Whereas socioeconomic, access, and language barriers seem to drive the CRC screening disparities experienced by blacks and Hispanics, additional factors may exacerbate the disparities experienced by Asians.

Vitamin D, Race, and Cardiovascular Mortality: Findings From a National US Sample

PURPOSE Findings are conflicting about the relationship between vitamin D levels and cardiovascular mortality. We wanted to determine the contribution of vitamin D levels to black-white disparities in cardiovascular mortality. METHODS We examined the association of serum 25(OH)D levels with cardiovascular mortality and its contribution to elevated risk among blacks through a retrospective cohort using baseline data from the third National Health and Nutrition Examination Survey 1988–1994 and cause-specific mortality through 2001 using the National Death Index. Using piecewise Poisson regression models, we examined the risk of cardiovascular death (coronary heart disease, heart failure, and stroke) by sample 25(OH)D quartile, adjusting for cardiovascular risk factors, and compared models of adjusted race-related cardiovascular mortality with and without further adjustment for 25(OH)D levels. RESULTS Participants with 25(OH)D levels in the lowest quartile (mean = 13.9 ng/mL) compared with those in the 3 higher quartiles (mean = 21.6, 28.4, and 41.6 ng/mL) had higher adjusted risk of cardiovascular death (incident rate ratio [IRR] = 1.40; 95% confidence interval [CI], 1.16–1.70). The higher age- and sex-adjusted cardiovascular mortality observed in blacks vs whites (IRR = 1.38; 95% CI, 1.13–1.70) was attenuated (IRR = 1.14; 95% CI, 0.91–1.44) by adjustment for 25(OH)D levels and fully eliminated with further adjustment for income (IRR=1.01; 95% CI, 0.82–1.24). CONCLUSIONS Low serum levels of 25(OH)D are associated with increased cardiovascular mortality in a nationally representative US sample. Black-white differences in 25(OH)D levels may contribute to excess cardiovascular mortality in blacks. Interventional trials among persons with low vitamin D levels are needed to determine whether oral supplementation improves cardiovascular outcomes.