Faculty Bibliography

Colorectal cancer screening (CRCS) rates are low among men and women who seek health care at federally qualified health centers (FQHCs). This study explores health care providers' perspectives about their patient's motivators and impediments to CRCS and receptivity to preparatory education. A mixed methods design consisting of in-depth interviews, focus groups, and a short survey is used in this study. The participants of this study are 17 health care providers practicing in FQHCs in the Tampa Bay area. Test-specific patient impediments and motivations were identified including fear of abnormal findings, importance of offering less invasive fecal occult blood tests, and need for patient-centered test-specific educational materials in clinics. Opportunities to improve provider practices were identified including providers' reliance on patients' report of symptoms as a cue to recommend CRCS and overemphasis of clinic-based guaiac stool tests. This study adds to the literature on CRCS test-specific motivators and impediments. Providers offered unique approaches for motivating patients to follow through with recommended CRCS and were receptive to in-clinic patient education. Findings readily inform the design of educational materials and interventions to increase CRCS in FQHCs.

Clinical trials provide the most promising way to improve treatment outcomes in cancer. This study examined the rate at which eligible patients with lung cancer, at a National Cancer Institute-designated cancer center in the South, were offered a clinical trial and explored for reasons for ineligibility. We retrospectively reviewed 300 randomly selected lung cancer patients' medical records seen in 2010, to assess clinical trial offers to eligible patients, reasons for not offering an eligible patient a trial, demographic factors associated with eligibility, and reasons for refusal among those offered a trial. Of the 300 patient charts, seven were excluded for lack of confirmed lung cancer diagnosis. Forty-six of the remaining 293 (15.7%) patients were eligible for a clinical trial. Forty-five of the 46 (97.8%) were considered for a trial by their oncologist. Thirty-five of the 45 (77.8%) were offered a trial: 15 agreed (42.9% of those offered, 5.1% of patients reviewed), 11 declined, and 9 were undecided at the end of the review window. Patients with poor Eastern Cooperative Oncology Group (ECOG) performance status levels and small cell (SC) diagnoses were significantly less likely to be eligible for a trial. Results suggest that oncologists at the cancer center are effectively presenting all eligible patients with the option of a clinical trial; however, there is a need to increase the number of approved clinical trials for patients with SC or ECOG score greater than 2.

Clinical trials hold great promise for cancer treatment; yet, Hispanic cancer patients have low rates of clinical trial participation. Lack of awareness and knowledge of clinical trials and language barriers may account for low participation rates. Patient education through audiovisual materials can improve knowledge of and attitudes toward clinical trials among Hispanic populations. In this study, 36 Hispanic cancer patients/survivors and caregivers in Florida and Puerto Rico participated in focus groups to aid in developing a Spanish-language DVD and booklet intervention designed to increase knowledge about clinical trials. Focus group results showed (a) low levels of knowledge about clinical trials, (b) uncertainty about why a physician would expect a patient to make a choice about treatment, and (c) desire for family participation in decision making. Respondents expressed various preferences for aspects of the DVD such as showing extended family in the DVD and physician explanations about key terms. On the basis of these preferences, the authors developed a creative brief for a DVD. The content of the DVD was reviewed by Hispanic community leaders and key stakeholders. A final DVD was created, in Spanish, using Hispanic patients and physicians, which contained the information deemed important from the focus groups and stakeholder interviews. The DVD is complete with companion booklet and currently undergoing a randomized control trial.

OBJECTIVE: This systematic review was conducted to synthesize the existing evidence regarding key considerations influencing African Americans' participation in cancer clinical trials (CCTs). METHODS: The PubMed and PsycINFO databases were searched to identify peer-reviewed publications during the last decade (2002-2011) that met our inclusionary criteria. Our search utilized Boolean combinations of the following terms: "clinical trial"; "cancer"; "neoplasm"; "African American"; "Black"; "caregiver"; "decision making"; "recruitment"; "companion"; "family"; "significant other"; and "social support". RESULTS: A total of 267 articles were identified in the database searches. Of these articles, a total of 31 were determined to meet the inclusion criteria and were retained for review. Key issues that emerged as impediments to a successful recruitment of African Americans to CCTs included negative attitudes towards clinical trials, low levels of knowledge and awareness regarding CCTs, religious beliefs, and structural barriers, such as transportation, childcare, and access to health care. Recommendations from physicians, family members, and friends may promote CCT participation. Multimedia, and culturally-appropriate recruitment approaches may also be effective in soliciting participation among African Americans. CONCLUSION: Existing research underscores the importance of social support from family and friends, cultural appropriateness and sensitivity from physicians and in the design of the CCT, and enhanced education among African Americans in decision-making processes. As African Americans are underrepresented in CCTs, targeted strategies to enhance recruitment efforts and improve cancer treatment outcomes are essential.

BACKGROUND: Premenopausal women represent approximately 35% of new breast cancer diagnoses. Diagnosis and treatment may lead to substantial disruption in quality of life (QOL). METHODS: Premenopausal patients (aged 18 to 50 years) treated for nonmetastatic breast cancer completed a mailed questionnaire. Multiple self-reported QOL measures and clinical data were collected. Cluster analysis and Cronbach's alpha were used to validate the survey. Analysis of variance was performed for specific interventions. Lower interference scores conveyed higher QOL. RESULTS: The response rate was 49.8%. Cronbach's alpha was 0.96. Immediate contralateral prophylactic mastectomy (CPM) carried the highest interference (mean, 3.3148) with sexuality compared with no CPM (mean, 2.85) or delayed CPM (P = .03). Breast conservation had the least interference with appearance (P < .01) and work and finances (P = .02). CONCLUSIONS: Therapeutic mastectomy and CPM with or without reconstruction may adversely affect QOL. These findings suggest that the choice and timing of interventions may significantly affect patient satisfaction.

BACKGROUND: Internet search query trends have been shown to correlate with incidence trends for select infectious diseases and countries. Herein, the first use of Google search queries for malaria surveillance is investigated. The research focuses on Thailand where real-time malaria surveillance is crucial as malaria is re-emerging and developing resistance to pharmaceuticals in the region. METHODS: Official Thai malaria case data was acquired from the World Health Organization (WHO) from 2005 to 2009. Using Google correlate, an openly available online tool, and by surveying Thai physicians, search queries potentially related to malaria prevalence were identified. Four linear regression models were built from different sub-sets of malaria-related queries to be used in future predictions. The models' accuracies were evaluated by their ability to predict the malaria outbreak in 2009, their correlation with the entire available malaria case data, and by Akaike information criterion (AIC). RESULTS: Each model captured the bulk of the variability in officially reported malaria incidence. Correlation in the validation set ranged from 0.75 to 0.92 and AIC values ranged from 808 to 586 for the models. While models using malaria-related and general health terms were successful, one model using only microscopy-related terms obtained equally high correlations to malaria case data trends. The model built strictly of queries provided by Thai physicians was the only one that consistently captured the well-documented second seasonal malaria peak in Thailand. CONCLUSIONS: Models built from Google search queries were able to adequately estimate malaria activity trends in Thailand, from 2005-2010, according to official malaria case counts reported by WHO. While presenting their own limitations, these search queries may be valid real-time indicators of malaria incidence in the population, as correlations were on par with those of related studies for other infectious diseases. Additionally, this methodology provides a cost-effective description of malaria prevalence that can act as a complement to traditional public health surveillance. This and future studies will continue to identify ways to leverage web-based data to improve public health.

In infectious disease surveillance, public health data such as environmental, hospital, or census data have been extensively explored to create robust models of disease dynamics. However, this information is also subject to its own biases, including latency, high cost, contributor biases, and imprecise resolution. Simultaneously, new technologies including Internet and mobile phone based tools, now enable information to be garnered directly from individuals at the point of care. Here, we consider how these crowdsourced data offer the opportunity to fill gaps in and augment current epidemiological models. Challenges and methods for overcoming limitations of the data are also reviewed. As more new information sources become mature, incorporating these novel data into epidemiological frameworks will enable us to learn more about infectious disease dynamics.

Immediately following the Boston Marathon attacks, individuals near the scene posted a deluge of data to social media sites. Previous work has shown that these data can be leveraged to provide rapid insight during natural disasters, disease outbreaks and ongoing conflicts that can assist in the public health and medical response. Here, we examine and discuss the social media messages posted immediately after and around the Boston Marathon bombings, and find that specific keywords appear frequently prior to official public safety and news media reports. Individuals immediately adjacent to the explosions posted messages within minutes via Twitter which identify the location and specifics of events, demonstrating a role for social media in the early recognition and characterization of emergency events. *Christopher Cassa and Rumi Chunara contributed equally to this work.

Several approaches have been proposed for near real-time detection and prediction of the spread of influenza. These include search query data for influenza-related terms, which has been explored as a tool for augmenting traditional surveillance methods. In this paper, we present a method that uses Internet search query data from Baidu to model and monitor influenza activity in China. The objectives of the study are to present a comprehensive technique for: (i) keyword selection, (ii) keyword filtering, (iii) index composition and (iv) modeling and detection of influenza activity in China. Sequential time-series for the selected composite keyword index is significantly correlated with Chinese influenza case data. In addition, one-month ahead prediction of influenza cases for the first eight months of 2012 has a mean absolute percent error less than 11%. To our knowledge, this is the first study on the use of search query data from Baidu in conjunction with this approach for estimation of influenza activity in China.