End-users’ satisfaction and adoption regarding the implementation of a technology solution for screening and counselling individuals with suspicious COVID-19: a cross-section study

Abstract

Abstract Purpose We evaluated the end-users’ satisfaction and the adoption of a technology solution embedding a clinical decision algorithm for screening and counselling individuals with suspicious COVID-19. Methods This was a cross-sectional study. Data was collected by the startup company Hi! Healthcare Intelligence. Satisfaction was measured using two questions presenting answer options as Likert scales of eleven points (from 0 to 10), in which 0 indicated low satisfaction and 10 indicated high satisfaction. We measured ‘general satisfaction’ through the average of questions 1 and 2. Descriptive analyses were used to summarize the data. Results The average satisfaction regarding the experience in using the technology solution and regarding the ‘recommendation for a friend or family’ was 7.94 (95% confidence interval [CI] 7.60 to 8.28) and 8.14 (95% CI 7.80 to 8.48), respectively. ‘General satisfaction’ was 8.04 (95% CI 7.70 to 8.37). The adoption regarding the implementation of the technology solution was 24.5% (n = 265). Conclusion The technology solution embedding a clinical decision algorithm for screening and counselling individuals with suspicious COVID-19 presented high satisfaction. One in four (¼) individuals interested in using the technology solution actually adopted it by following the clinical decision algorithm until the end, when counselling was provided.