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

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

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 In...

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Bibliographic Details
Published in:Health and technology Vol. 14; no. 6; pp. 1209 - 1215
Main Authors: Marinelli, Pamela, Saragiotto, Bruno Tirotti, Oliveira, Rafael Felipe Ferreira, de Oliveira, Lisandra Almeida, Fagundes, Felipe Ribeiro Cabral, Hespanhol, Luiz
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-11-2024
Springer Nature B.V
Subjects:
Algorithms
Assessment
Biological and Medical Physics
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Computational Biology/Bioinformatics
Counseling
COVID-19
COVID-19 Health Technology: Design
Embedding
Emergency medical care
Engineering
Fever
Internet access
Management
Medicine/Public Health
Original Paper
Pandemics
Questions
R & D/Technology Policy
Regulation
Severe acute respiratory syndrome coronavirus 2
Social isolation
Startups
Technology assessment
User satisfaction
Variables
Brazil
Rio de Janeiro Brazil
SARS-CoV-2
Telehealth
e-Health
Coronavirus; satisfaction
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Summary: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.
ISSN:2190-7188
2190-7196
DOI:10.1007/s12553-024-00887-y