| Autor: |
Marinelli, Pamela, Saragiotto, Bruno Tirotti, Oliveira, Rafael Felipe Ferreira, de Oliveira, Lisandra Almeida, Fagundes, Felipe Ribeiro Cabral, Hespanhol, Luiz |
| Zdroj: |
Health & Technology; Nov2024, Vol. 14 Issue 6, p1209-1215, 7p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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