Development and Evaluation of Innovation Scales for Mail-Based Human Papillomavirus (HPV) Self-Collection Among U.S....

Background/Objectives: Low-income compared to high-income women have a higher incidence of and mortality from cervical cancer (CC) due to lower screening rates (under/never-screened). Home-based screening for CC via mailed "self-collection" for human papillomavirus (HPV) testing is an alternative to traditional, provider-collected screening that may be more acceptable to low-income women. Theoretically, adoption of a recent technology, in this case, mailed return of self-collection, is related to the Diffusion of Innovations concepts of advantages and complexity. The purpose of this study was to develop and psychometrically test scales to measure advantages and complexity of self-collection in a low-income, under/never-screened population. Methods: Low-income women (n = 168) were recruited in person from food pantries and online using Facebook in the Midwest U.S. After a baseline survey, women were mailed a self-collection kit. We assessed reliability with item analysis and Cronbach's α and evaluated validity with exploratory factor analysis and t-tests, using mailed kit return as the independent variable. Results: Two scales were developed: (1) advantages (Cronbach's α = 0.84), item-total correlation = 0.51 to 0.69, and (2) complexity (Cronbach's α = 0.82), item-total correlation = 0.45 to 0.64. Exploratory factor analysis supported items factoring on their respective scales, and t-tests supported a relationship between each scale and mailed return of kits. Conclusions: Both the advantages and complexity scales demonstrated reliability and validity among low-income women. Future studies should evaluate these scales in a larger, more diverse population. Nurses could use these scales to assess preferences and difficulties associated with self-collection and aid patients with CC screening decision-making.