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

Marinelli, P; Saragiotto, BT; Oliveira, RFF; de Oliveira, LA; Fagundes, FRC; Hespanhol, L

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

Marinelli, P Saragiotto, BT Oliveira, RFF de Oliveira, LA Fagundes, FRC Hespanhol, L

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Publisher:: SPRINGER HEIDELBERG
Publication Type:: Journal Article
Citation:: Health and Technology, 2024, 14, (6), pp. 1209-1215
Issue Date:: 2024-11-01

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Field	Value	Language
dc.contributor.author	Marinelli, P
dc.contributor.author	Saragiotto, BT
dc.contributor.author	Oliveira, RFF
dc.contributor.author	de Oliveira, LA
dc.contributor.author	Fagundes, FRC
dc.contributor.author	Hespanhol, L
dc.date.accessioned	2025-06-13T05:51:02Z
dc.date.available	2025-06-13T05:51:02Z
dc.date.issued	2024-11-01
dc.identifier.citation	Health and Technology, 2024, 14, (6), pp. 1209-1215
dc.identifier.issn	2190-7188
dc.identifier.issn	2190-7196
dc.identifier.uri	http://hdl.handle.net/10453/187738
dc.description.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.
dc.language	English
dc.publisher	SPRINGER HEIDELBERG
dc.relation	São Paulo Research Foundation16/24217-7
dc.relation.ispartof	Health and Technology
dc.relation.isbasedon	10.1007/s12553-024-00887-y
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences, 11 Medical and Health Sciences
dc.subject.classification	4202 Epidemiology
dc.subject.classification	4203 Health services and systems
dc.title	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
dc.type	Journal Article
utslib.citation.volume	14
utslib.for	08 Information and Computing Sciences
utslib.for	11 Medical and Health Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Health
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/INSIGHT: Institute for Innovative Solutions for Wellbeing and Health
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-06-13T05:51:01Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	14
utslib.citation.issue	6

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.

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http://hdl.handle.net/10453/187738