Associated Factors with Colorectal Cancer (CRC) Screening Awareness in the Black Belt Region of Alabama: a Comparison among Three Types of CRC Screening

Objective: The present study aims to assess the levels of awareness of three types of CRC screening tests (FIT or FBOT, sigmoidoscopy, and colonoscopy) among African Americans living in the Black Belt area, and examine the factors associated with awareness of CRC screening tests among this population. Methods: The current study utilized a survey research design. Univariate analysis was used to assess the awareness of three types of colorectal cancer screening: FIT or FOBT, sigmoidoscopy, and colonoscopy. Three sets of logistic regression analyses were conducted to examine the factors associated with the awareness level of each of the three colorectal cancer screening types among study participants. Results: More than half of study participants heard of FOBT/FIT. Only one third of participants heard of sigmoidoscopy. The majority of study participants heard of colonoscopy. Participation in socializing groups was found to be positively associated with awareness of all three types of CRC screening. Employment and having a primary care physician were positively associated with FOBT/FIT and colonoscopy. Study participants with a primary care physician demonstrated awareness of FOBT/FIT and colonoscopy Conclusion: Health education on different types of CRC screening especially FOBT/FIT and sigmoidoscopy is needed for the study population. CRC screening awareness among rural African Americans is likely to be improved by removing barriers of accessing primary physicians or other healthcare resources. Health education intervention in community setting or socializing groups such as clubs or religious group can potentially improve awareness of CRC screening

HIV testing and risk behaviors associated with depression in the United States

Given the high correlation between depression and HIV infection rates, our objective was to assess national rates for HIV testing and HIV risk behaviors among U.S. adults stratified by self-reports of depression. We conducted a cross-sectional study using data from the 2018–2020 Behavioral Risk Factor Surveillance System (BRFSS). We included respondents aged 18 years old and above with self-reported depression status (Sample size = 1,228,405). The primary outcomes included HIV testing and HIV-related risk behaviors. For respondents with prior HIV testing experience, we estimated the duration since the last HIV test. We applied a multivariable logistic regression model to analyze the correlation between depression and HIV testing or risk behaviors. The results showed people with depression had 51% higher odds of receiving HIV testing [adjusted odds ratio (AOR) = 1.51, 95% CI = 1.48, 1.55] and 51% higher odds of involvement in HIV risk behaviors [AOR = 1.51, 95% CI = 1.44, 1.58] after adjusting for covariates. Various socio-demographics and healthcare access variables were significantly associated with HIV testing and HIV risk behaviors. When comparing the average time from the last HIV test, people with depression had a shorter period compared to those without depression [Median time in months: 27.1 ± 0.45 vs. 29.3 ± 0.34]. Even though people with depression had higher rates of HIV testing, they still experienced long time periods (median = 2 + years) between HIV testing, which exceeded the recommended annual HIV testing for people at high risk from the Centers for Disease Control and Prevention

Effects of Framed Mobile Messages on Beliefs, Intentions, Adherence, and Asthma Control: A Randomized Trial

We aimed to examine the effects of framed mobile messages (messages emphasizing losses or gains because of a behavior) on young adults’ beliefs about their daily Inhaled Corticosteroids (ICS), intentions to take their ICS, adherence, and asthma control. College students (18–29 years) who owned a mobile phone and had a diagnosis of asthma with a prescription for an ICS were recruited. Participants (n = 43) were randomized to receive either gain- or loss-framed mobile messages three times per week for eight weeks. Engagement rates with messages were calculated. Outcomes included beliefs, intentions, adherence, and asthma control. Data collection was performed at baseline, week 4, and week 8. Mixed-design ANOVA assessed whether outcomes improved differentially from baseline to week eight between gain- and loss-framed groups. Twenty-two participants were randomly assigned to the gain-framed group and 21 to the loss-framed group. There was a 100% retention rate. The engagement rate with the text messages was 85.9%. There was a significant difference in participants’ intentions to take medication and asthma control from baseline. There were no significant changes in other outcomes from baseline. There was no difference in changes in all outcomes between participants receiving gain- versus loss-framed messages. Framed mobile messages improved young adults’ asthma control and intentions to take their medication as prescribed

Disparities in Cervical Cancer Screening with HPV Test among Females with Diabetes in the Deep South

Background: Due to diabetes being linked with poorer cervical cancer prognosis, this study aimed to evaluate HPV testing behaviors among females with and without diabetes across the U.S. by geographic area in 2016, 2018, and 2020. Methods: This cross-sectional study used the Behavioral Risk Factor Surveillance System (BRFSS) from 2016, 2018, and 2020. The study population included females aged 25–69 years old, stratified by self-reported diabetes status. The primary outcome measure was cervical cancer screening behavior, which was evaluated by self-reported HPV test uptake/receipt (yes/no). Results: A total of 361,546 females from across the U.S. were sampled. Within the study population combined from all study years, the overall likelihood of receiving an HPV test was significantly lower among females with diabetes [37.95% (95% CI: 36.87–39.04)] compared to those without diabetes [46.21% (95% CI: 45.84–46.58)] (p < 0.001). Screening rates with HPV tests were lowest among females with diabetes in the South in 2016 (29.32% (95% CI: 26.82–31.83)), 2018 (39.63% (95% CI: 36.30–42.96)), and 2020 (41.02% (95% CI: 37.60–44.45)). Conclusions: Females with diabetes are screening with HPV tests less frequently than females without diabetes, and females living in the South, particularly states in the Deep South, report the lowest rates of HPV testing

Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey

Abstract Background The Medicare Current Beneficiary Survey (MCBS) limited‐access data provides the unique opportunity to utilize administrative claims and adjusted survey data to investigate trends in utilization and medical expenditure across time. The adjusted survey data is a synthesized, matched version of the original survey data and claims. Researchers may choose adjusted survey data or original claims for cost evaluations according to their research purpose. However, limited research has examined methodological issues when estimating medical cost using different MCBS data sources. Objective The study objective was to examine the reproducibility of individual‐level medical cost using both MCBS data sources: adjusted survey and claims data. Methods This serial cross‐sectional study design analyzed 2006–2012 MCBS data. The sample included noninstitutionalized older Medicare beneficiaries (≥65 years old), with a cancer diagnosis and annually enrolled in Medicare Parts A, B, and D. The population was stratified by diabetes diagnosis. The primary outcome was annual medical cost. We investigated the discrepancies of medical cost estimated from the adjusted survey and original claims data. The agreement between cost estimates from the two sources in each year was determined using the Wilcoxon signed‐rank test. Results A total of 4918 eligible Medicare beneficiaries were included in this study, and 26% of beneficiaries also had diabetes (N = 1275). Significant disagreements in cost estimates between adjusted survey and claims data were present regardless of disease complexity (with or without diabetes). Significant disagreements in medical cost estimates were present in most years, except in 2010 (p = 0.467) and 2011 (p = 0.098), for beneficiaries with cancer and diabetes (p < 0.001 for all). Significant disagreements in medical cost estimates were present in all years for beneficiaries with cancer without diabetes (p < 0.001 for all). Conclusions Based on discrepant cost estimates across data sources, researchers using MCBS to estimate costs should be cautious when using claims or adjusted survey data alone

Building and experimenting with an agent-based model to study the population-level impact of CommunityRx, a clinic-based community resource referral intervention

CommunityRx (CRx), an information technology intervention, provides patients with a personalized list of healthful community resources (HealtheRx). In repeated clinical studies, nearly half of those who received clinical “doses” of the HealtheRx shared their information with others (“social doses”). Clinical trial design cannot fully capture the impact of information diffusion, which can act as a force multiplier for the intervention. Furthermore, experimentation is needed to understand how intervention delivery can optimize social spread under varying circumstances. To study information diffusion from CRx under varying conditions, we built an agent-based model (ABM). This study describes the model building process and illustrates how an ABM provides insight about information diffusion through in silico experimentation. To build the ABM, we constructed a synthetic population (“agents”) using publicly-available data sources. Using clinical trial data, we developed empirically-informed processes simulating agent activities, resource knowledge evolution and information sharing. Using RepastHPC and chiSIM software, we replicated the intervention in silico, simulated information diffusion processes, and generated emergent information diffusion networks. The CRx ABM was calibrated using empirical data to replicate the CRx intervention in silico. We used the ABM to quantify information spread via social versus clinical dosing then conducted information diffusion experiments, comparing the social dosing effect of the intervention when delivered by physicians, nurses or clinical clerks. The synthetic population (N = 802,191) exhibited diverse behavioral characteristics, including activity and knowledge evolution patterns. In silico delivery of the intervention was replicated with high fidelity. Large-scale information diffusion networks emerged among agents exchanging resource information. Varying the propensity for information exchange resulted in networks with different topological characteristics. Community resource information spread via social dosing was nearly 4 fold that from clinical dosing alone and did not vary by delivery mode. This study, using CRx as an example, demonstrates the process of building and experimenting with an ABM to study information diffusion from, and the population-level impact of, a clinical information-based intervention. While the focus of the CRx ABM is to recreate the CRx intervention in silico, the general process of model building, and computational experimentation presented is generalizable to other large-scale ABMs of information diffusion.</p