Behavioral & Community Health Research Works
Permanent URI for this collectionhttp://hdl.handle.net/1903/1636
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Item Evaluating preferences for colorectal cancer screening in individuals under age 50 using the Analytic Hierarchy Process(Springer Nature, 2021-07-29) Hyams, Travis; Golden, Bruce; Sammarco, John; Sultan, Shahnaz; King-Marshall, Evelyn; Wang, Min Qi; Curbow, BarbaraIn 2021, the United States Preventive Services Task Force updated their recommendation, stating that individuals ages 45-49 should initiate screening for colorectal cancer. Since several screening strategies are recommended, making a shared decision involves including an individual’s preferences. Few studies have included individuals under age 50. In this study, we use a multicriteria decision analysis technique called the Analytic Hierarchy Process to explore preferences for screening strategies and evaluate whether preferences vary by age. Participants evaluated a hierarchy with 3 decision alternatives (colonoscopy, fecal immunochemical test, and computed tomography colonography), 3 criteria (test effectiveness, the screening plan, and features of the test) and 7 sub-criteria. We used the linear fit method to calculate consistency ratios and the eigenvector method for group preferences. We conducted sensitivity analysis to assess whether results are robust to change and tested differences in preferences by participant variables using chi-square and analysis of variance. Of the 579 individuals surveyed, 556 (96%) provided complete responses to the AHP portion of the survey. Of these, 247 participants gave responses consistent enough (CR < 0.18) to be included in the final analysis. Participants that were either white or have lower health literacy were more likely to be excluded due to inconsistency. Colonoscopy was the preferred strategy in those < 50 and fecal immunochemical test was preferred by those over age 50 (p = 0.002). These results were consistent when we restricted analysis to individuals ages 45-55 (p = 0.011). Participants rated test effectiveness as the most important criteria for making their decision (weight = 0.555). Sensitivity analysis showed our results were robust to shifts in criteria and sub-criteria weights. We reveal potential differences in preferences for screening strategies by age that could influence the adoption of screening programs to include individuals under age 50. Researchers and practitioners should consider at-home interventions using the Analytic Hierarchy Process to assist with the formulation of preferences that are key to shared decision-making. The costs associated with different preferences for screening strategies should be explored further if limited resources must be allocated to screen individuals ages 45-49.Item Hepatitis B screening among Chinese Americans: a structural equation modeling analysis(Springer Nature, 2015-03-08) Ma, Grace X; Zhang, Guo Yolanda; Zhai, Shumenghui; Ma, Xiang; Tan, Yin; Shive, Steven E; Wang, Min QiHepatitis B Virus (HBV) disproportionately affects new immigrants from endemic regions such as China. Untreated infections increase health risks for liver diseases including cancer. Yet most of those infected are unaware of their disease limiting prevention and early treatment options. The purpose of this community based study was to evaluate a heuristic model identifying factors contributing to Hepatitis B (HBV) screening among Chinese Americans. A cross-sectional design included a sample of 924 Chinese men and women 18 years of age and older of which 718 had complete data for final analysis. Confirmatory factor analysis verified conceptual indicators including access/satisfaction with health care and enabling, predisposing, cultural, and health belief factors. Structural equation modeling was used to identify direct and indirect predictors of Hepatitis B screening. Bivariate analysis revealed that Chinese respondents who were never screened for HBV were significantly more likely to be below age 40 (69.8%), male (69.2%), had less than a high school education (76.4%), with less than 6 years living in the US (72.8%) and had no health insurance (79.2%). The final model identified enabling factors (having health insurance, a primary health care provider to go to when sick and more frequent visits to a doctor in the last year) as the strongest predictor of HBV screening (coefficient = 0.470, t = 7.618, p < .001). Predisposing factors (education variables) were also significantly related to HBV screening. Cultural factors and Satisfaction with Health care were associated with HBV screening only through their significant relationships with enabling factors. The tested theoretical model shows promise in predicting HBV testing among Chinese Americans. Increasing access to health care by expanding insurance options and improving culturally sensitivity in health systems are critical to reach new immigrants like Chinese for HBV screening. Yet such strategies are consistent with DHHS Action plan for the Prevention and Treatment of Viral Hepatitis. Implementing community-based strategies like partnering with relevant Community-Based Organizations are important for meeting HBV policy targets.Item Using technology for improving population health: comparing classroom vs. online training for peer community health advisors in African American churches(Springer Nature, 2015-08-14) Holt, Cheryl L; Santos, Sherie L Zara; Tagai, Erin Kelly; Scheirer, Mary Ann; Carter, Roxanne; Bowie, Janice V; Haider, Muhiuddin; Slade, Jimmy; Wang, Min Qi; Whitehead, TonyTechnology is increasingly used in health promotion interventions. Project HEAL (Health Through Early Awareness and Learning) compared two methods of training lay community health advisors (CHAs): 1) the traditional/classroom approach vs. 2) a new online training system.Item Adoption, reach, and implementation of a cancer education intervention in African American churches(Springer Nature, 2017-03-14) Santos, Sherie Lou Zara; Tagai, Erin K.; Scheirer, Mary Ann; Bowie, Janice; Haider, Muhiuddin; Slade, Jimmie; Wang, Min Qi; Holt, Cheryl L.Use of technology is increasing in health promotion and has continued growth potential in intervention research. Guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, this paper reports on the adoption, reach, and implementation of Project HEAL (Health through Early Awareness and Learning)—a community-based implementation trial of a cancer educational intervention in 14 African American churches. We compare adoption, reach, and implementation at the organizational and participant level for churches in which lay peer community health advisors (CHAs) were trained using traditional classroom didactic methods compared with a new online system. Fifteen churches were randomized to one of two study groups in which two CHAs per church were trained through either classroom (“Traditional”; n = 16 CHAs in 8 churches) or web-based (“Technology”; n = 14 CHAs in 7 churches) training methods. Once trained and certified, all CHAs conducted a series of three group educational workshops in their churches on cancer early detection (breast, prostate, and colorectal). Adoption, reach, and implementation were assessed using multiple data sources including church-level data, participant engagement in the workshops, and study staff observations of CHA performance. The project had a 41% overall adoption rate at the church level. In terms of reach, a total of 375 participants enrolled in Project HEAL—226 participants in the Traditional group (43% reach) and 149 in the Technology group (21% reach; p < .10). Implementation was evaluated in terms of adherence, dosage, and quality. All churches fully completed the three workshops; however, the Traditional churches took somewhat longer (M = 84 days) to complete the workshop series than churches in the Technology group (M = 64 days). Other implementation outcomes were comparable between both the Traditional and Technology groups (p > .05). Overall, the Project HEAL intervention had reasonable adoption, though reach could have been better. Implementation was strong across both study groups, suggesting the promise of using web-based methods to disseminate and implement evidence-based interventions in faith-based settings and other areas where community health educators work to eliminate health disparities.Item Translating evidence-based interventions for implementation: Experiences from Project HEAL in African American churches(Implementation Science, 2014-05-31) Holt, Cheryl L.; Tagai, Erin K.; Scheirer, Mary Ann; Santos, Sherie Lou Z.; Bowie, Janice; Haider, Muhiuddin; Slade, Jimmie L.; Wang, Min Qi; Whitehead, Tony; Holt, Cheryl L.Background Community-based approaches have been increasing in the effort to raise awareness and early detection for cancer and other chronic disease. However, many times, such interventions are tested in randomized trials, become evidence-based, and then fail to reach further use in the community. Project HEAL (Health through Early Awareness and Learning) is an implementation trial that aims to compare two strategies of implementing evidence-based cancer communication interventions in African American faith-based organizations. Method This article describes the community-engaged process of transforming three evidence-based cancer communication interventions into a coherent, branded strategy for training community health advisors with two delivery mechanisms. Peer community health advisors receive training through either a traditional classroom approach (with high technical assistance/support) or a web-based training portal (with low technical assistance/support). Results We describe the process, outline the intervention components, report on the pilot test, and conclude with lessons learned from each of these phases. Though the pilot phase showed feasibility, it resulted in modifications to data collection protocols and team and community member roles and expectations. Conclusions Project HEAL offers a promising strategy to implement evidence-based interventions in community settings through the use of technology. There could be wider implications for chronic disease prevention and control.