The Impact of a Primetime Cancer Storyline: From Individual Knowledge and Behavioral Intentions to Policy-level Changes
US Department of Health and Human Services, National Institutes of Health, National Cancer Institute, 6130 Executive Blvd Suite, 3131, Bethesda, MD 20892-7354, USA. Journal of Cancer Education
(Impact Factor: 1.23).
03/2010; 25(4):484-9. DOI: 10.1007/s13187-010-0093-y
We assessed the educational impact of a primetime network TV storyline that addressed cancer patient navigators. An online survey was administered after the episode aired. Exposed respondents saw the episode (n = 336); unexposed respondents did not (n = 211). Exposed respondents were more likely to report they would recommend a patient navigator (61% vs. 48%, p = 0.01). Clips of the episode were shown to raise awareness of patient navigators in a Congressional Committee meeting before the Patient Navigator Act was signed into law (2005). Entertainment education can have a positive impact on cancer knowledge and can contribute to policy-level decisions.
Available from: Anne Townsend
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ABSTRACT: Decision aids are evidence-based tools designed to inform people of the potential benefit and harm of treatment options, clarify their preferences and provide a shared decision-making structure for discussion at a clinic visit. For patients with rheumatoid arthritis (RA) who are considering methotrexate, we have developed a web-based patient decision aid called the ANSWER (Animated, Self-serve, Web-based Research Tool). This study aimed to: 1) assess the usability of the ANSWER prototype; 2) identify strengths and limitations of the ANSWER from the patient's perspective.
The ANSWER prototype consisted of: 1) six animated patient stories and narrated information on the evidence of methotrexate for RA; 2) interactive questionnaires to clarify patients' treatment preferences. Eligible participants for the usability test were patients with RA who had been prescribed methotrexate. They were asked to verbalize their thoughts (i.e., think aloud) while using the ANSWER, and to complete the System Usability Scale (SUS) to assess overall usability (range = 0-100; higher = more user friendly). Participants were audiotaped and observed, and field notes were taken. The testing continued until no new modifiable issues were found. We used descriptive statistics to summarize participant characteristics and the SUS scores. Content analysis was used to identified usability issues and navigation problems.
15 patients participated in the usability testing. The majority were aged 50 or over and were university/college graduates (n = 8, 53.4%). On average they took 56 minutes (SD = 34.8) to complete the tool. The mean SUS score was 81.2 (SD = 13.5). Content analysis of audiotapes and field notes revealed four categories of modifiable usability issues: 1) information delivery (i.e., clarity of the information and presentation style); 2) navigation control (i.e., difficulties in recognizing and using the navigation control buttons); 3) layout (i.e., position of the videos, text, diagrams and navigation buttons); 4) aesthetic (i.e., the colour, look and feel of the online tool).
Although the SUS score indicated high usability before and after major modification, findings from the think-aloud sessions illustrated areas that required further refinement. Our results highlight the importance of formative evaluation in usability testing.
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ABSTRACT: Many young adults are insufficiently active to achieve the health benefits of regular physical activity. Using signal detection analysis of data from the 2007 Health Information National Trends Survey, the authors examined distinct subgroups of 18-39 year-old adults who vary in their likelihood of not meeting physical activity recommendations. We randomly split the sample and conducted signal detection analysis on the exploratory half to identify subgroups and interactions among sociodemographic and health communication variables that predicted engaging in less than 150 minutes per week of moderate-intensity physical activity (low physical activity). We compared rates of low physical activity among subgroups with similarly defined subgroups in the validation sample. Overall, 62% of participants did not meet physical activity recommendations. Among 8 subgroups identified, low physical activity rates ranged from 31% to 90%. Predictors of low physical activity were general health, body mass index (BMI), perceived cancer risk, health-related Internet use, and trust in information sources. The least active subgroup (90% low physical activity) included young adults in poor to good health with a BMI of 30.8 or more (obese). The most active subgroup (31% low physical activity) comprised those in very good to excellent health, who used a website to help with diet, weight, or physical activity, and had little to no trust in health information on television. Findings suggest potential intervention communication channels and can inform targeted physical activity interventions for young adults.
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