Health insurance and mammography: would a Medicare buy-in take us to universal screening?

OBJECTIVE: To determine whether health insurance expansions via a Medicare buy-in might plausibly increase mammography screening rates among women aged 50-64. DATA SOURCES: Two waves of the Health and Retirement Study (HRS) (1994, 1996). STUDY DESIGN: A longitudinal study with most explanatory variables measured at the second wave of HRS (1994); receipt of mammography, number of physician visits, and breast self exam (BSE) were measured at the third wave (1996). DATA EXTRACTION: Our sample included women aged 50-62 in 1994 who answered the second and third HRS interview (n = 4,583). PRINCIPAL FINDINGS: From 1994 to 1996, 72.7 percent of women received a mammogram. Being insured increased mammography in both unadjusted and adjusted analyses. A simulation of universal insurance coverage in this age group increased mammography rates only to 75-79 percent from the observed 72.7 percent. When we accounted for potential endogeneity of physician visits and BSE to mammography, physician visits remained a strong predictor of mammography but BSE did not. CONCLUSION: Even in the presence of universal coverage and very optimistic scenarios regarding the effect of insurance on mammography for newly insured women, mammography rates would only increase a small amount and gaps in screening would remain. Thus, a Medicare buy-in could be expected to have a small impact on mammography screening rates.

Colorectal cancer incidence and mortality in Texas 1990-1992: a comparison of rural classifications.

Although cancer incidence and mortality rates are known to be higher in urban populations, more unstaged tumors and later staged cancer are diagnosed in rural populations. Most investigators have used a dichotomous definition of urban and rural in studying these populations, and they have not considered whether a more detailed categorization of rural areas could influence their findings. The objective of this study was to evaluate colorectal cancer incidence and mortality rates in Texas from 1990 to 1992 by using a dichotomous definition (Metropolitan Area vs. Nonmetropolitan Area [MA/non-MA]) and two more detailed rural classifications (the Rural-Urban Continuum Code [RUCC] and the Urban Influence Code [UIC]). Cancer data were obtained from the Texas Cancer Registry for 1990 to 1992 and supplemented with data from the Texas State Department of Vital Statistics (mortality), the US Census Bureau (age, gender, race) and the Area Resource File (rural and urban definitions). Incidence and mortality rates, age-adjusted to the 1970 US standard population, were calculated for non-Hispanic White, African American, and Hispanic males and females. Results revealed a nonlinear relationship between rural category and colorectal cancer incidence or mortality for all races. Applying the MA definition yielded rates in the middle of the ranges obtained with using RUCC or UIC classifications and most closely reflected the result for non-Hispanic Whites using the more detailed scales. Our results suggest that a dichotomous definition of rural and urban may mask important variation in colorectal cancer incidence and mortality rates within rural areas.

Comparing 3 techniques for eliciting patient values for decision making about prostate-specific antigen screening: a randomized controlled trial.

IMPORTANCE: To make good decisions about prostate-specific antigen (PSA) screening, men must consider how they value the different potential outcomes. OBJECTIVE: To determine the effects of different methods of helping men consider such values. DESIGN AND SETTING: Randomized trial from October 12 to 27, 2011, in the general community. PARTICIPANTS: A total of 911 men aged 50 to 70 years from the United States and Australia who had average risk. Participants were drawn from online panels from a survey research firm in each country and were randomized by the survey firm to 1 of 3 values clarification methods: a balance sheet (n = 302), a rating and ranking task (n = 307), or a discrete choice experiment (n = 302). INTERVENTION: Participants underwent a values clarification task and then chose the most important attribute. MAIN OUTCOME MEASURES: The main outcome was the difference among groups in the most important attribute. Secondary outcomes were differences in unlabeled test preference and intent to undergo screening with PSA. RESULTS: The mean age was 59.8 years; most participants were white and more than one-third had graduated from college. More than 40% reported a PSA test within 12 months. The participants who received the rating and ranking task were more likely to report reducing the chance of death from prostate cancer as being most important (54.4%) compared with those who received the balance sheet (35.1%) or the discrete choice experiment (32.5%) (P < .001). Those receiving the balance sheet were more likely (43.7%) to prefer the unlabeled PSA-like option (as opposed to the "no screening"-like option) compared with those who received rating and ranking (34.2%) or the discrete choice experiment (20.2%). However, the proportion who intended to undergo PSA testing was high and did not differ between groups (balance sheet, 77.1%; rating and ranking, 76.8%; and discrete choice experiment, 73.5%; P = .73). CONCLUSIONS AND RELEVANCE: Different values clarification methods produce different patterns of attribute importance and different preferences for screening when presented with an unlabeled choice. Further studies with more distal outcome measures are needed to determine the best method of values clarification, if any, for decisions such as whether to undergo screening with PSA.

Baseline predictors of initiation vs. maintenance of regular mammography use among rural women.

BACKGROUND: Predictors of regular mammography screening over many years have not often been examined prospectively. We used data from baseline (1993-1994), first (1996-1997), and second follow-up (2000) interviews with 336 White and 314 African-American rural women in the North Carolina Breast Cancer Screening Program to evaluate baseline factors predictive of regular mammography use over 7 years. METHODS: We defined regular mammography use as a recent mammogram (past 2 years) at all three interviews. Using binomial and logistic regression models adjusted for age, we examined factors associated with initiation (for women without prior regular use) and maintenance (for women with prior regular use) of mammography. RESULTS: Younger age and White race were predictive of initiation of regular mammography use. Physician recommendation was the strongest predictor of both initiation and maintenance of regular mammography use. Positive mammography attitudes and fewer personal barriers were strongly associated with initiation but not with maintenance. CONCLUSIONS: Increased contact with providers and greater support for screening mammograms by providers could have an important impact on rural women initiating and maintaining regular mammography screening. Special efforts are needed to prompt rural African-American women and those over age 65 to initiate screening, since once they start they are likely to continue.