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      Perceptions of Risk, Benefit and Trust - A Comparative Assessment Between Healthcare Workers and the General Public Towards 3 Medical Technologies

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          Abstract

          Background and Objective

          While there is a substantial amount of research on risk perception, there has been less focus on the way medical technologies are perceived by experts as opposed to lay individuals. We investigated the factors that may influence the risk perception of healthcare workers (HCWs) and the general public regarding 3 distinct medical technologies: magnetic resonance imaging (MRI), laser-assisted in situ keratomileusis (LASIK) and the Covid-19 vaccine.

          Methods

          A cross-sectional study conducted in 2021 among 2 populations: HCWs employed at a general public hospital and a sample of outpatients and individuals who are not medical professionals. The participants completed an electronic questionnaire.

          Results

          In total, 739 respondents were included: 197 HCWs (26.7%) and 542 members of the public (73.3%). Most of the respondents (89.4%) reported being vaccinated against Covid-19, 43.8% had previously undergone an MRI but 90% had not undergone LASIK. Overall, all 3 technologies assessed in the study were rated by the respondents as having a high benefit and low risk. HCWs and the public showed statistically significant differences in perceived risk towards MRI and LASIK, as well as in some of the risk perception characteristics of each technology. In contrast, no differences in risk perception towards the Covid-19 vaccine were found between HCWs and the public. Both study populations showed a significant negative correlation between trust in the MoH and the perceived risk towards MRI and the Covid-19 vaccine. Both study populations regarded information provided by medical sources as the most reliable for decision-making.

          Conclusion

          The perceptions and concerns towards medical technologies influence individuals’ behavior and acceptance of technologies. They are also essential for risk communication. The study contributes to the understanding of attitudes towards various medical technologies, including risk perception, risk characteristics, trust and sources of information pertaining to each of the technologies, by examining the differences between HCWs and the general public.

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          Most cited references44

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          Perception of risk

          P Slovic (1987)
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            The influence of trust and perceptions of risks and benefits on the acceptance of gene technology.

            A causal model explaining acceptance of gene technology was tested. It was hypothesized that trust in institutions using gene technology or using modified products has a positive impact on perceived benefit and a negative influence on perceived risk of this technology. Furthermore, perceived benefit and perceived risk determine acceptance of biotechnology. In other words, trust has an indirect influence on the acceptance of the technology. The postulated model was tested using structural equation modeling procedures and data from a random quota sample of 1001 Swiss citizens between 18 and 74 years old. Results indicated that the proposed model fits the data very well. The same causal model explains females' and males' acceptance of gene technology. Gender differences were found for the latent variables trust, perceived benefit, and acceptance of gene technology. Females indicated more trust, perceived less benefit, and demonstrated less acceptance than did males. No significant difference was observed for perceived risk. The implications of the results are discussed.
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              How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits

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                Author and article information

                Journal
                Risk Manag Healthc Policy
                Risk Manag Healthc Policy
                rmhp
                Risk Management and Healthcare Policy
                Dove
                1179-1594
                13 June 2024
                2024
                : 17
                : 1587-1598
                Affiliations
                [1 ]Department of Management, Health Systems Management Program, Bar Ilan University , Ramat Gan, Israel
                [2 ]Shamir Medical Center (Assaf Harofeh) , Zerifin, Israel
                [3 ]ICET - Israeli Center for Emerging Technologies , Zerifin, Israel
                Author notes
                Correspondence: Shira Ramot, Email ramotsh@gmail.com
                Author information
                http://orcid.org/0000-0002-1363-5916
                http://orcid.org/0000-0003-2379-9102
                Article
                462411
                10.2147/RMHP.S462411
                11184229
                38894817
                30e52dfa-b949-4ade-9a34-fe698f8da265
                © 2024 Ramot and Tal.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 02 February 2024
                : 08 May 2024
                Page count
                Figures: 1, Tables: 4, References: 44, Pages: 12
                Categories
                Original Research

                Social policy & Welfare
                healthcare workers,medical technologies,risk perception. trust,information source

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