A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions.

Bivariate choropleth mapping is a straightforward but underused method for displaying geographic health information to use in public health decision making. Previous studies have recommended this approach for state comprehensive cancer control planning and similar efforts. In this method, 2 area-level variables of interest are mapped simultaneously, often as overlapping quantiles or by using other classification methods. Variables to be mapped may include area-level (eg, county level) measures of disease burden, health care use, access to health care services, and sociodemographic characteristics. We demonstrate how geographic information systems software, specifically ArcGIS, can be used to develop bivariate choropleth maps to inform resource allocation and public health interventions. We used 2 types of county-level public health data: South Carolina's Behavioral Risk Factor Surveillance System estimates of ever having received cervical cancer screening, and a measure of availability of cervical cancer screening providers that are part of South Carolina's Breast and Cervical Cancer Early Detection Program. Identification of counties with low screening rates and low access to care may help inform where additional resources should be allocated to improve access and subsequently improve screening rates. Similarly, identifying counties with low screening rates and high access to care may help inform where educational and behavioral interventions should be targeted to improve screening in areas of high access.

Evaluating centralized technical assistance as an implementation strategy to improve cancer prevention and control.

PURPOSE: In 2015-2016, the Comprehensive Cancer Control National Partnership provided technical assistance workshops to support 22 cancer coalitions in increasing human papillomavirus (HPV) vaccination uptake and increasing colorectal cancer (CRC) screening in their local communities. As national efforts continue to invest in providing technical assistance, there is a current gap in understanding its use as a strategy to accelerate implementation of evidence-based interventions (EBIs) for cancer prevention. The objective of this study was to evaluate the impact of technical assistance on the participants' knowledge, attitudes, and skills for implementing EBIs in their local context and enhancing state team collaboration. METHODS: Data were collected August-November 2017 using web-based questionnaires from 44 HPV workshop participants and 66 CRC workshop participants. RESULTS: Both HPV vaccination and CRC screening workshop participants reported changes in knowledge, attitudes, and skills related to implementing EBIs in their local state context. Several participants reported increased abilities in communicating and coordinating with partners in their states and utilizing additional implementation strategies to increase HPV vaccination uptake and CRC screening rates. CONCLUSIONS: Findings from this study suggest that providing technical assistance to members of comprehensive cancer control coalitions is useful in promoting collaborations and building capacity for implementing EBIs for cancer prevention and control.

Predictors of Retention among African Americans in a Randomized Controlled Trial to Test the Healthy Eating and Active Living in the Spirit (HEALS) Intervention.

INTRODUCTION: Retention of racial/ethnic minority groups into research trials is necessary to fully understand and address health disparities. This study was conducted to identify participants' characteristics associated with retention of African Americans (AAs) in a randomized controlled trial (RCT) of a behavioral intervention. METHODS: Using data from an RCT conducted from 2009 to 2012 among AAs, participant-level factors were examined for associations with retention between three measurement points (ie, baseline, 3-month, and 12-month). Chi-square tests and logistic regression analyses were conducted to compare retained participants to those who were not retained in order to identify important predictors of retention. RESULTS: About 57% of participants (n=238) were retained at 12 months. Baseline characteristics that showed a statistically significant association with retention status were age, marital status, body mass index (BMI), intervention group, enrollment of a partner in the study, and perceived stress score (PSS). Multivariable logistic regression that adjusted for age, BMI, and PSS showed the odds of being retained among participants who enrolled with a partner was 2.95 (95% CI: 1.87-4.65) compared with participants who had no study partner enrolled. The odds of being retained among participants who were obese and morbidly obese were .32 and .27 (95% CI: .14-.74 and .11-.69), respectively, compared with participants who had normal weight. CONCLUSION: Having a partner enrolled in behavioral interventions may improve retention of study participants. Researchers also need to be cognizant of participants' obesity status and potentially target retention efforts toward these individuals.