Characteristics associated with the adoption of consumer-based -self-sampling methods for sexually transmitted infection screening.
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| Title: | Characteristics associated with the adoption of consumer-based -self-sampling methods for sexually transmitted infection screening. |
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| Authors: | Griner, Stacey B., Beckstead, Jason W., Vamos, Cheryl A., Puccio, Joseph A., Perrin, Kay, Daley, Ellen M. |
| Source: | Journal of American College Health. Dec2024, Vol. 72 Issue 9, p3394-3401. 8p. |
| Subjects: | Sexually transmitted disease diagnosis, Health self-care, Diffusion of innovations, Research funding, T-test (Statistics), Statistical sampling, Descriptive statistics, Chi-squared test, Analysis of variance, Statistics, Medical screening, Theory, Data analysis software |
| Abstract: | Objective: To identify theory-based innovation characteristics associated with the adoption of consumer-based self-sampling methods for sexually transmitted infection screening. Participants: Guided by the Diffusion of Innovation, survey data from people assigned female at birth (AFAB) (n = 92) were analyzed. Methods: Forward regression models and a path analysis were used to predict adoption by characteristics, using maximum likelihood estimation. Measures included acceptability, comfort, addresses healthcare needs, willingness to adopt self-sampling methods, and innovation characteristics. Results: Predictors of willingness to adopt were no clinic visit (relative advantage), convenient pick-up (relative advantage), and low cost. Variables with direct effects on adoption included: addresses healthcare needs, comfort, acceptability, and no clinic visit. Conclusions: Relative advantage was a salient factor and prioritizing this construct in intervention development may facilitate adoption. Results can guide the development of an innovative, theory-based intervention that promotes adoption of self-sampling methods, ultimately improving STI screening rates. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of American College Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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