Understanding Multiple Behavioral Risk Factors for Cancer in Rural Women

Determination of Multiple Cancer Risk Behaviors Among Adult Population in Turkey: A Cross-sectional Study

Background: Modifiable cancer risk behaviors are general not seen alone but in combination in individuals. Purpose: This study aims to investigate the factors associated with combinations of cancer risk behaviors, including tobacco use, obesity, and low physical activity that cause cancer in adults. Methods: A total of 720 adults were selected using the multi-stage cluster sampling method. Data were collected using the World Health Organization STEP-wise protocols. Results: It was found that 46.9% of the participants showed one, 46.3% two or more types of risk behavior. The percentage of married individuals was higher among those who engaged in one, two, or three risky behaviors than those who did not engage in risky behaviors. Among participants with two risk behaviors, the percentage of those who rated their health as very good was lower than those without risk behaviors; those who had friends or relatives with cancer were high. Those who engaged in three risk behaviors were less educated and had lower incomes than those who did not engage in risk behaviors. Conclusions: Health intervention strategies should be increased in primary health care institutions for individuals who are married, has low level of education and income and has weak perception of health.

Associations Between Physical Activity and Alcohol Consumption in Rural Cancer Survivors

Purpose

Rural adults and cancer survivors are more likely to be physically inactive and exceed recommendations for alcohol use. Physical activity and alcohol use are positively associated in adults and cancer survivors but associations between physical activity and alcohol use in rural cancer survivors is unknown. This cross-sectional study explored associations between physical activity, sitting time, and alcohol use in rural cancer survivors.

Methods

Cancer survivors residing in central Pennsylvania were recruited to the Partnering to Prevent and Control Cancer (PPCC) study and completed mailed questionnaires assessing physical activity (low, moderate, high), sitting time (<6 or ≥6 hours/day), and alcohol use (0 or ≥1 drinks/week). Binary logistic regression models tested associations between physical activity, sitting time, and alcohol use, adjusting for age, gender, and education.

Results

Participants (N=219) were in their mid-60s (M age=64.5 ± 12.2 years, 60.7% female), overweight (M BMI=29.6 ± 6.9 kg/m2), and 50.5% were college graduates. Nearly half of participants were breast (22.8%) or prostate (20.5%) cancer survivors and 90.4% were >12 weeks but <5 years post-treatment. Participants self-reported meeting physical activity recommendations (79.5%), sitting <6 hours/day (53.3%), and consuming ≥1 alcoholic drinks/week (54.1%). Participants who reported being moderately (OR=5.0, 95% CI: 1.9-12.9) or highly (OR=4.5, 95% CI: 1.9-10.9) active had higher odds of reporting alcohol use, after adjusting for covariates.

Conclusion

Results mirror positive associations seen in adults and other subgroups (e.g., racial/ethnic minority adults). Cancer control efforts should stress being physically active while emphasizing messaging to curtail increases in alcohol use among rural cancer survivors.

Urban-Rural Variations in Quality of Care Among Patients With Cancer in California

INTRODUCTION

Previous research suggests cancer patients living in rural areas have lower quality of care, but population-based studies have yielded inconsistent results. This study examines the impact of rurality on care quality for 7 cancer types in California.

METHODS

Breast, ovarian, endometrial, cervix, colon, lung, and gastric cancer patients diagnosed from 2004 to 2017 were identified in the California Cancer Registry. Multivariable logistic regression and proportional hazards models were used to assess effects of residential location on quality of care and survival. Stratified models examined the impact of treatment at National Cancer Institute designated cancer centers (NCICCs). Quality of care was evaluated using Commission on Cancer measures. Medical Service Study Areas were used to assess urban/rural status. Data were collected in 2004-2019 and analyzed in 2020.

RESULTS

989,747 cancer patients were evaluated, with 14% living in rural areas. Rural patients had lower odds of receiving radiation after breast conserving surgery compared to urban residents. Colon and gastric cancer patients had 20% and 16% lower odds, respectively, of having optimal surgery. Rural patients treated at NCICCs had greater odds of recommended surgery for most cancer types. Survival was similar among urban and rural subgroups.

CONCLUSIONS

Rural residence was inversely associated with receipt of recommended surgery for gastric and colon cancer patients not treated at NCICCs, and for receiving recommended radiotherapy after breast conserving surgery regardless of treatment location. Further studies investigating the impact of care location and availability of supportive services on urban-rural differences in quality of care are warranted.

Closing the Rural Cancer Care Gap: Three Institutional Approaches

Patients in rural areas face limited access to medical and oncology providers, long travel times, and low recruitment to clinical trials, all of which affect quality of care and health outcomes. Rural counties also have high rates of cancer-related mortality and other negative treatment outcomes. On April 10, 2019, ASCO hosted Closing the Rural Cancer Care Gap, the second event in its State of Cancer Care in America series. The event focused on two aspects of rural cancer care: a review of the major issues and concerns in delivering rural cancer care and a discussion of creative solutions to address rural-nonrural disparities. This article draws from the event and supporting literature to summarize the challenges to delivering high-quality care in rural communities, update ASCO’s workforce data on the geographic distribution of oncologists, and highlight 3 institutional approaches to addressing these challenges in diverse rural settings. The experience of the 3 institutions featured in the article suggests that increasing rural patients’ access to care requires expanding services and decreasing travel distances, mitigating financial burdens when insurance coverage is limited, opening avenues to clinical trial participation, and creating partnerships between providers and community leaders to address local gaps in care. Because the characteristics of rural communities, health care resources, and patient populations are not homogeneous, rural health disparities require local solutions that are based on community needs, available resources, and trusting and collaborative partnerships.

Evaluation of Communication Skills Among Physicians: A Systematic Review of Existing Assessment Tools

OBJECTIVE

The importance of physician training in communication skills for motivating patients to adopt a healthy life-style and optimize clinical outcomes is increasingly recognized. This study inventoried and systematically reviewed the psychometric properties of, and the skills assessed by, existing assessment tools used to evaluate communication skills among physicians.

METHODS

This review was conducted in accordance with the PRISMA guidelines (PROSPERO: CRD42018091932). Four databases (PUBMED, EMBASE, PsychINFO, and SCOPUS) were searched up to December 2018, generating 3902 unique articles, which were screened by two authors. A total of 57 articles met the inclusion criteria and underwent full data extraction.

RESULTS

Forty-five different assessment tools were identified. Only 47% of the studies mentioned underlying theories or models for designing the tool. Fifteen communication skills were assessed across the tools, the five most prevalent were information giving (46%) or gathering (40%), eliciting patients' perspectives (44%), planning/goal setting (37%), and closing the session (32%). Most tools (93%) assessed communication skills using in-person role play exercises with standardized (61%) or real (32%) patients, but only 54% described the expertise of the raters who performed the evaluations. Overall, reporting of the psychometric properties of the assessment tools was poor-moderate (4.5 ± 1.3 out of 9).

CONCLUSIONS

Despite identifying several existing physician communication assessment tools, a high degree of heterogeneity between these tools, in terms of skills assessed and study quality, was observed, and most have been poorly validated. Research is needed to rigorously develop and validate accessible, convenient, "user-friendly," and easy to administer and score communication assessment tools.

Similarities and differences in the correlates of comorbidities in US male and female adult cancer survivors

OBJECTIVES

To determine both the common and the sex-specific correlates of comorbidities in adult male and female cancer survivors.

DESIGN

Cross-sectional study using the 2009-2014 National Health and Nutrition Examination Survey (NHANES).

SAMPLE

Male (n = 667) and female (n = 772) cancer survivors 20 years of age and older.

MEASUREMENTS

Questionnaire responses from NHANES provided data for this study. Comorbidities were assessed using a modified Charlson Comorbidity Index (CCI). Bivariate and multivariate linear regression analyses were conducted to identify correlates of comorbidities in male and female cancer survivors separately.

RESULTS

The mean modified CCI score was 3.88 in males and 3.68 in females. Having a greater number of cancers diagnosed, being currently or formerly married, being physically inactive, having lower socioeconomic status, and being a former smoker were significant correlates of comorbidities in both males and females. Having a prostate cancer diagnosis was also a significant correlate of comorbidities in males. White race, more years since first cancer diagnosis, being overweight or obese, and having no more than a high school education were also significant correlates of comorbidities in females.

CONCLUSIONS

There are differences between correlates of comorbidities in male and female cancer survivors.