|The Design, Implementation and Evaluation of an E-Health Video for Women Under Age Forty not Eligible for Mammograms: Predictors of a High Rating of the Video|
Lisa Vernale-Fusco Masters
Uploaded by: Pocket Masters
Pockets: 2016 (May) Teachers College Columbia University Ed.D. Dissertations, Gottesman Libraries Archive, Historical Dissertations
Tags: breast cancer, Cancer, E-health, Screening, social marketing, Young women
Description/Abstract: This research focused on breast cancer screening, controversial changes in screening guidelines from the American Cancer Society in October 2015, and women under age 40 who are not eligible for mammograms and could potentially benefit from monthly breast self-examination (BSE). The study involved the design, implementation and evaluation of an e-health video for women under age 40, while featuring a "how-to" conduct BSE portion. Women's rating of the e-health video was the study outcome variable.
The online convenience sample of women (N=145) was mostly White/ (80.7%, n=117) with mean age of 31.90 years (min 20, max 39, SD 4.248), mean education level between a Bachelor's Degree and a Master's Degree (M=4.18, min 2-High School, max = 6- Doctorate, SD=1.032),while mostly employed (81.4%, n=118).
With 100% of the sample having watched the entire e-health video, there was a comparison of selected pre-video versus post-video mean scores. Using paired t-tests that compared pre-video to post-video means for stage of change and self-efficacy for performing monthly BSE, results showed the 11:33 minute e-health video served as an effective brief online intervention; it propelled movement across the stages of change toward the preparation stage for engagement in BSE, and increased self-efficacy for BSE.
The sample's rating of the video mean was 4.00, or good (min = 2, max = 5, SD = .775). Using backward stepwise regression, a higher rating of the video was significantly predicted by: higher quality rating of their physician (beta = .201, p= .008); less breast self-examination experience (beta = -.109, p=.035); lower breast self-examination knowledge (beta = -.290, p=.009); higher pre-video stage of change overall for monthly breast self-examination (beta = .107, p= .028)---while only 9.19% of the variance (R2 =.119, Adj R2=.091) was explained by this model. Of note, when controlling for social desirability in the model, there were no significant predictors.
Qualitative data revealed strengths (e.g. informative and educational) and weaknesses (e.g. boring) of the e-health video. Collectively, the data suggest the value of the e-health video, while 86.9% (n=126) indicated they would recommend the video to others. Implications and recommendations for future research are discussed.