Racial disparities in prostate cancer mortality: a model-based decomposition of contributing factors.

To investigate the relative contributions of natural history and clinical interventions to racial disparities in prostate cancer mortality in the United States, we extended a model that was previously calibrated to Surveillance, Epidemiology, and End Results (SEER) incidence rates for the general population and for Black men. The extended model integrated SEER data on curative treatment frequencies and cancer-specific survival. Starting with the model for all men, we replaced up to 9 components with corresponding components for Black men, projecting age-standardized mortality rates for ages 40-84 years at each step. Based on projections in 2019, the increased frequency of developing disease, more aggressive tumor features, and worse cancer-specific survival in Black men diagnosed at local-regional and distant stages explained 38%, 34%, 22%, and 8% of the modeled disparity in mortality. Our results point to intensified screening and improved care in Black men as priority areas to achieve greater equity.

Is the closest facility the one actually used? An assessment of travel time estimation based on mammography facilities.

BACKGROUND: Characterizing geographic access depends on a broad range of methods available to researchers and the healthcare context to which the method is applied. Globally, travel time is one frequently used measure of geographic access with known limitations associated with data availability. Specifically, due to lack of available utilization data, many travel time studies assume that patients use the closest facility. To examine this assumption, an example using mammography screening data, which is considered a geographically abundant health care service in the United States, is explored. This work makes an important methodological contribution to measuring access--which is a critical component of health care planning and equity almost everywhere. METHOD: We analyzed one mammogram from each of 646,553 women participating in the US based Breast Cancer Surveillance Consortium for years 2005-2012. We geocoded each record to street level address data in order to calculate travel time to the closest and to the actually used mammography facility. Travel time between the closest and the actual facility used was explored by woman-level and facility characteristics. RESULTS: Only 35% of women in the study population used their closest facility, but nearly three-quarters of women not using their closest facility used a facility within 5 min of the closest facility. Individuals that by-passed the closest facility tended to live in an urban core, within higher income neighborhoods, or in areas where the average travel times to work was longer. Those living in small towns or isolated rural areas had longer closer and actual median drive times. CONCLUSION: Since the majority of US women accessed a facility within a few minutes of their closest facility this suggests that distance to the closest facility may serve as an adequate proxy for utilization studies of geographically abundant services like mammography in areas where the transportation networks are well established.

Preoperative consultations for medicare patients undergoing cataract surgery.

IMPORTANCE: Low-risk elective surgical procedures are common, but there are no clear guidelines for when preoperative consultations are required. Such consultations may therefore represent a substantial discretionary service. OBJECTIVE: To assess temporal trends, explanatory factors, and geographic variation for preoperative consultation in Medicare beneficiaries undergoing cataract surgery, a common low-risk elective procedure. DESIGN, SETTING, AND PARTICIPANTS: Cohort study using a 5% national random sample of Medicare part B claims data including a cohort of 556,637 patients 66 years or older who underwent cataract surgery from 1995 to 2006. Temporal trends in consultations were evaluated within this entire cohort, whereas explanatory factors and geographic variation were evaluated within the 89,817 individuals who underwent surgery from 2005 to 2006. MAIN OUTCOMES AND MEASURES: Separately billed preoperative consultations (performed by family practitioners, general internists, pulmonologists, endocrinologists, cardiologists, nurse practitioners, or anesthesiologists) within 42 days before index surgery. RESULTS: The frequency of preoperative consultations increased from 11.3% in 1998 to 18.4% in 2006. Among individuals who underwent surgery in 2005 to 2006, hierarchical logistic regression modeling found several factors to be associated with preoperative consultation, including increased age (75-84 years vs 66-74 years: adjusted odds ratio [AOR], 1.09 [95% CI, 1.04-1.13]), race (African American race vs other: AOR, 0.71 [95% CI, 0.65-0.78]), urban residence (urban residence vs isolated rural town: AOR, 1.64 [95% CI, 1.49-1.81]), facility type (outpatient hospital vs ambulatory surgical facility: AOR, 1.10 [95% CI, 1.05-1.15]), anesthesia provider (anesthesiologist vs non-medically directed nurse anesthetist: AOR, 1.16 [95% CI, 1.10-1.24), and geographic region (Northeast vs South: AOR, 3.09 [95% CI, 2.33-4.10]). The burden of comorbidity was associated with consultation, but the effect size was small (<10%). Variation in frequency of consultation across hospital referral regions was substantial (median [range], 12% [0-69%]), even after accounting for differences in patient-level, anesthesia provider-level, and facility-level characteristics. CONCLUSIONS AND RELEVANCE: Between 1995 and 2006, the frequency of preoperative consultation for cataract surgery increased substantially. Referrals for consultation seem to be primarily driven by nonmedical factors, with substantial geographic variation.

Fitting and interpreting continuous-time latent Markov models for panel data.

Multistate models characterize disease processes within an individual. Clinical studies often observe the disease status of individuals at discrete time points, making exact times of transitions between disease states unknown. Such panel data pose considerable modeling challenges. Assuming the disease process progresses accordingly, a standard continuous-time Markov chain (CTMC) yields tractable likelihoods, but the assumption of exponential sojourn time distributions is typically unrealistic. More flexible semi-Markov models permit generic sojourn distributions yet yield intractable likelihoods for panel data in the presence of reversible transitions. One attractive alternative is to assume that the disease process is characterized by an underlying latent CTMC, with multiple latent states mapping to each disease state. These models retain analytic tractability due to the CTMC framework but allow for flexible, duration-dependent disease state sojourn distributions. We have developed a robust and efficient expectation-maximization algorithm in this context. Our complete data state space consists of the observed data and the underlying latent trajectory, yielding computationally efficient expectation and maximization steps. Our algorithm outperforms alternative methods measured in terms of time to convergence and robustness. We also examine the frequentist performance of latent CTMC point and interval estimates of disease process functionals based on simulated data. The performance of estimates depends on time, functional, and data-generating scenario. Finally, we illustrate the interpretive power of latent CTMC models for describing disease processes on a dataset of lung transplant patients. We hope our work will encourage wider use of these models in the biomedical setting.

Perceived need for care among low-income immigrant and U.S.-born black and Latina women with depression.

PURPOSE: To examine perceived need for care for mental health problems as a possible contributor to ethnic disparities in receiving care among low-income depressed women. METHODS: The role of ethnicity, somatization, and stigma as they relate to perceived need for care is examined. Participants were 1577 low-income women who met criteria for depression. RESULTS: Compared with U.S.-born depressed white women, most depressed ethnic minority women were less likely to perceive a need for mental health care (black immigrants: OR 0.30, p < 0.001; U.S.-born blacks: OR 0.43, p < 0.001; immigrant Latinas: OR 0.52, p < 0.01). Stigma-related concerns decreased the likelihood of perceiving a need for mental health care (OR 0.80, p < 0.05). Having multiple somatic symptoms (OR 1.57, p < 0.001) increased the likelihood of endorsing perceived need. CONCLUSIONS: Findings suggest that there are ethnic differences in perceived need for mental healthcare that may partially account for the low rates of care for depression among low-income and minority women. The relations among stigma, somatization, and perceived need were strikingly similar across ethnic groups.

Mental health care preferences among low-income and minority women.

Mental health care preferences are examined among 1,893 low-income immigrant and U.S.-born women with an acknowledged emotional problem (mean age = 29.1, SD = 89.6). Ethnicity, depression, somatization, and stigma are examined as they relate to mental health care preferences (medication, individual and group counseling, faith, family/friends). Seventy-eight percent of participants counseling would be helpful; 55%; group counseling; and 32% medication. Faith was cited by 81%; family and friends were endorsed by 65%. Minorities had lower odds than Whites of endorsing medication (Black immigrants: OR = 0.27, p < 0.001, U.S.-born Blacks: OR = 0.30, p < 0.001, immigrant Latinas: OR = 0.50, p < 0.01). Most minorities also had higher odds of endorsing faith compared to Whites (Black immigrants: OR = 3.62, p < 0.001; U.S.-born Blacks, OR = 3.85, p < 0.001; immigrant Latinas: OR = 9.76, p < 0.001). Being depressed was positively associated with endorsing medication (OR = 1.93, p < 0.001), individual counseling (OR = 2.66, p < 0.001), and group counseling (OR = 1.35, p < 0.01). Somatization was positively associated with endorsing medication (OR = 1.29, p < 0.05) and faith (OR = 1.37, p < 0.05). Stigma-concerns reduced the odds of endorsing group counseling (OR = 0.58, p < 0.001). Finally, being in mental health treatment was related to increased odds of endorsing medication (OR = 3.88, p < 0.001) and individual counseling (OR = 2.29, p = 0.001).

Does stigma keep poor young immigrant and U.S.-born Black and Latina women from seeking mental health care?

OBJECTIVE: This study examined the extent to which stigma-related concerns about mental health care account for the underuse of mental health services among low-income immigrant and U.S.-born black and Latina women. METHODS: Participants included 15,383 low-income women screened for depression in county entitlement services who were asked about barriers to care, stigma-related concerns, and whether they wanted or were getting mental health care. RESULTS: Among those who were depressed, compared with U.S.-born white women, each of the black groups were more likely to report stigma concerns (African immigrants, odds ratio [OR]=3.28, p=.004; Caribbean immigrants, OR=6.17, p=.005; U.S.-born blacks, OR=6.17, p=.06). Compared with U.S.-born white women, immigrant African women (OR=.18, p<.001), immigrant Caribbean women (OR=.11, p=.001), U.S.-born black women (OR=.31, p<.001), and U.S.-born Latinas (OR=.32, p=.03) were less likely to want treatment. Conversely, compared with U.S.-born white women, immigrant Latinas (OR=2.17, p=.02) were more likely to want treatment. There was a significant stigma-by-immigrant interaction predicting interest in treatment (p<.001). Stigma reduced the desire for mental health treatment for immigrant women with depression (OR=.35, p<.001) to a greater extent than it did for U.S.-born white women with depression (OR=.52, p=.24). CONCLUSIONS: Stigma-related concerns are most common among immigrant women and may partly account for underutilization of mental health care services by disadvantaged women from ethnic minority groups.