Design, Implementation, and Evaluation of an E-Health Video Intervention to Address Gaps in Knowledge on Chances of Pregnancy and Risks for Older Women Ages 35-55
By: Lauren Jennifer Melzer
Published: 5/18/2016
Uploaded: 06/06/2018
Uploaded by: Pocket Masters
Pockets: 2016 (May) Teachers College Columbia University Ed.D. Dissertations, Gottesman Libraries Archive, Historical Dissertations
Tags: advanced maternal age

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Description/Abstract: This study introduced a new e-health avatar video and knowledge survey on the topic of "everything women need to know about delaying pregnancy in modern times," given evidence of the rise in births to older women (i.e. ages 35 to 55). The study sample (N=101) was 84.2% (n=85) White with a mean age of 36.27 years (min 21, max 55, SD 7.937), mean education level of a Bachelor's degree, and mean income of $50,000- $99,999. For the knowledge of women and pregnancy in modern times survey, the global mean knowledge score was 42.08, or closest to a good level of knowledge (min 6-very poor, max 66-excellent, SD 13.28)---with variations across the eight sub-scales covering knowledge. Using a paired samples t-test, when comparing the pre-video knowledge mean of 3.65 (SD = 1.135) to the post-video knowledge mean of 4.98 (SD = .787) there was a significant difference (t= -15.912, df = 100, p =.000)---indicating that the post-video knowledge rating was significantly higher. This may be interpreted as suggesting that watching the avatar video served as a brief online intervention that enhanced knowledge. The mean rating of the e-health video was closest to very good and the majority of women (89.1%) would recommend the video to other women in the present study.In this study, using backward stepwise regression, there were no significant predictors of (a) the rating of the video. Findings in this study from the backward stepwise regression predicting (b) knowledge regarding women and pregnancy in modern times showed the only significant predictor to be having had a medical condition during pregnancy---with 17.7% of the variance being explained by this model. The analysis of qualitative data brought to light emergent themes for why the women would recommend or not recommend the video to other women, including recommendations for improving the video. Finally, implications of the findings for practice by health educators, as well as for future research, are provided.