Reversals of association for Pap, colorectal, and prostate cancer testing among Hispanic and non-Hispanic black women and men

Factors associated with breast cancer screening services use among women in the United States: An application of the Andersen's Behavioral Model of Health Services Use

This study applied Andersen's Behavioral Model of Health Services Use to examine predisposing, enabling, and need factors associated with adherence to the United States Preventive Services Task Force (USPSTF) guidelines for breast cancer screening (BCS). Multivariable logistic regression was used to determine factors of BCS services utilization among 5484 women aged 50-74 from the 2019 National Health Interview Survey. Predisposing factors significantly associated with use of BCS services were: being a Black (odds-ratios [OR]:1.49; 95% confidence interval [CI]:1.14-1.95) or a Hispanic woman (OR:2.25; CI:1.62-3.12); being married/partnered (OR:1.32, CI:1.12-1.55); having more than a bachelor's degree (OR: 1.62; CI:1.14-2.30); and living in rural areas (OR:0.72; CI:0.59-0.92). Enabling factors were: poverty level [≤138% federal poverty level (FPL) (OR:0.74; CI:0.56-0.97), >138-250% FPL (OR:0.77; CI:0.61-0.97), and > 250-400% FPL (OR:0.77; CI:0.63-0.94)]; being uninsured (OR:0.29; CI:0.21-0.40); having a usual source of care at a physician office (OR:7.27; CI:4.99-10.57) or other healthcare facilities (OR:4.12; CI:2.68-6.33); and previous breast examination by a healthcare professional (OR:2.10; CI:1.68-2.64). Need factors were: having fair/poor health (OR:0.76; CI:0.59-0.97) and being underweight (OR:0.46; CI:0.30-0.71). Disparities in BCS services utilization by Black and Hispanic women have been reduced. Disparities still exist for uninsured and financially restrained women living in rural areas. Addressing disparities in BCS uptake and improving adherence to USPSTF guidelines may require revamping policies that address disparities in enabling resources, such as health insurance, income, and health care access.

Editor's Choice: Deliberative and non-deliberative effects of descriptive and injunctive norms on cancer screening behaviors among African Americans

Objective: Two longitudinal studies examined whether effects of subjective norms on secondary cancer prevention behaviors were stronger and more likely to non-deliberative (i.e., partially independent of behavioral intentions) for African Americans (AAs) compared to European Americans (EAs), and whether the effects were moderated by racial identity. Design: Study 1 examined between-race differences in predictors of physician communication following receipt of notifications about breast density. Study 2 examined predictors of prostate cancer screening among AA men who had not been previously screened.Main Outcome Measures: Participants' injunctive and descriptive normative perceptions; racial identity (Study 2); self-reported physician communication (Study 1) and PSA testing (Study 2) behaviors at follow up. Results: In Study 1, subjective norms were significantly associated with behaviors for AAs, but not for EAs. Moreover, there were significant non-deliberative effects of norms for AAs. In Study 2, there was further evidence of non-deliberative effects of subjective norms for AAs. Non-deliberative effects of descriptive norms were stronger for AAs who more strongly identified with their racial group. Conclusion: Subjective norms, effects of which are non-deliberative and heightened by racial identity, may be a uniquely robust predictor of secondary cancer prevention behaviors for AAs. Implications for targeted screening interventions are discussed.

Racial/Ethnic Differences Affecting Adherence to Cancer Screening Guidelines Among Women

BACKGROUND

Race/ethnicity has been shown to modify the effects between obesity and cancer screening among women. The purpose of this article is to update the literature with recent data to examine how the association between different characteristics, including body mass index (BMI), and cancer screening compliance varies by race/ethnicity in a national sample of women.

MATERIALS AND METHODS

Three cycles of the Health Information National Trends Survey (HINTS) were combined for this cross-sectional study. Weighted descriptive statistics were evaluated using chi-square tests. Multivariable logistic regression evaluated associations between women with underweight or normal (<25), overweight (25-29.9), and obese (>30) BMIs and cancer screening concordant with guidelines (Papanicolaou [Pap] testing ≤3 years, ages 21+ years; mammography ≤2 years, ages 40+ years) in analyses stratified by race/ethnicity. We also assessed variance between racial/ethnic groups in how age, income, and insurance status were associated with cancer screening compliance.

RESULTS

This study included 4992 women who were evaluated for Pap testing and 3773 for mammography. In analyses stratified by race/ethnicity, whites with a higher household income were more likely to report having a Pap test (adjusted prevalence ratio [aPR] 2.16, 95% confidence interval [95% CI] 1.38-3.40) and a mammogram (aPR 1.63, 95% CI 1.04-2.55) compared to lower income white women. Black women with BMIs between 25 and 30 were less likely to receive a Pap test (aPR 0.38, 95% CI 0.19-0.76) than black women with BMIs <25, while no association was observed among the other groups. Insurance was associated with increased likelihood of Pap testing among white and black women. Insurance coverage was positively associated with mammography only among white and Hispanic women.

CONCLUSIONS

We found variations in adherence to cancer screening guidelines by age, insurance coverage, and income between racial/ethnic groups. Little evidence was observed for variations in screening by BMI.

Opportunities and challenges for the use of large-scale surveys in public health research: a comparison of the assessment of cancer screening behaviors

Large-scale surveys that assess cancer prevention and control behaviors are a readily available, rich resource for public health researchers. Although these data are used by a subset of researchers who are familiar with them, their potential is not fully realized by the research community for reasons including lack of awareness of the data and limited understanding of their content, methodology, and utility. Until now, no comprehensive resource existed to describe and facilitate use of these data. To address this gap and maximize use of these data, we catalogued the characteristics and content of four surveys that assessed cancer screening behaviors in 2005, the most recent year with concurrent periods of data collection: the National Health Interview Survey, Health Information National Trends Survey, Behavioral Risk Factor Surveillance System, and California Health Interview Survey. We documented each survey's characteristics, measures of cancer screening, and relevant correlates; examined how published studies (n = 78) have used the surveys' cancer screening data; and reviewed new cancer screening constructs measured in recent years. This information can guide researchers in deciding how to capitalize on the opportunities presented by these data resources.

Understanding reversals of association between cancer screening and race/ethnicity

BACKGROUND

We used a composite variable composed of insurance status, income, and race/ethnicity to investigate access-enhancing programs as a possible reason for "reversals of association" and large percent changes (LPC), between race/ethnicity and cancer screening, when comparing the unadjusted and adjusted ORs.

METHODS

Data were from women aged 40-64 years, using the combined 2008 and 2010 Behavioral Risk Factor Surveillance System surveys. Recent mammography was within the past 2 years, and recent Pap testing was within the past 3 years. Initial analyses using all variables singly were followed by analyses that used the composite variable with the remaining covariates.

RESULTS

Analyses with race/ethnicity singly indicated reversals of association for Hispanic women and higher estimated screening for black and Hispanic women than for white women. Analyses with the composite variable found no reversals of association, but there were several LPCs for Hispanic and black women, for lower income, and for uninsured women. White, uninsured, lower income women were among those with the lowest utilization.

CONCLUSIONS

Results were consistent with the possibility that access-enhancing programs for lower income, uninsured and often non-white women can lead to overestimates of screening, reversals of association, and LPCs in multivariable analyses. Attention should be given to identifying LPCs to unadjusted ORs. Lower income, uninsured, white women are also a group at risk of extremely low mammography and Pap test utilization.

IMPACT

Combining variables to create better-targeted population subgroups may help in the interpretation of analyses that produce reversals of association and LPCs for correlates of cancer screening utilization.

Clinical quality performance in U.S. health centers

OBJECTIVE

To describe current clinical quality among the nation's community health centers and to examine health center characteristics associated with performance excellence.

DATA SOURCES

National data from the 2009 Uniform Data System.

DATA COLLECTION/EXTRACTION METHODS

Health centers reviewed patient records and reported aggregate data to the Uniform Data System.

STUDY DESIGN

Six measures were examined: first-trimester prenatal care, childhood immunization completion, Pap tests, low birth weight, controlled hypertension, and controlled diabetes. The top 25 percent performing centers were compared with lower performing (bottom 75 percent) centers on these measures. Logistic regressions were utilized to assess the impact of patient, provider, and institutional characteristics on health center performance.

PRINCIPAL FINDINGS

Clinical care and outcomes among health centers were generally comparable to national averages. For instance, 67 percent of pregnant patients received timely prenatal care (national = 68 percent), 69 percent of children achieved immunization completion (national = 67 percent), and 63 percent of hypertensive patients had blood pressure under control (national = 48 percent). Depending on the measure, centers with more uninsured patients were less likely to do well, while centers with more physicians and enabling service providers were more likely to do well.

CONCLUSIONS

Health centers provide quality care at rates comparable to national averages. Performance may be improved by increasing insurance coverage among patients and increasing the ratios of physicians and enabling service providers to patients.