Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare最新文献
Pub Date : 2023-03-01DOI: 10.1177/2327857923121011
Michelle M. Y. Lai, Rob (Hongbo) Chen, Andrew Evanyshyn, Zeina Shaltout, Myrtede C. Alfred
Informed consent in healthcare requires patients to have a sufficient understanding of their upcoming procedure before deciding to proceed. Unfortunately, education prior to a surgical procedure is constrained by barriers including poor health literacy, language barriers, one-sided dialogue during consultations, anxiety, and knowledge retention. Extended reality (XR), which includes virtual reality (VR), augmented reality (AR), and mixed reality (MR) has the potential to improve informed consent processes by creating an immersive, interactive, and multimodal sensory experience that supports patient education. The purpose of the study was to review the extant literature on the effectiveness of XR technology in improving patient education, a vital component of informed consent. We screened fifty-two articles and ten relevant papers from PubMed, Scopus, and Compendex, which were included in the review based on our eligibility criteria. We found that VR and AR proved effective in enhancing patient education in eight studies, and thus improving informed consent processes. MR was not utilized in the studies reviewed. The studies were conducted in several countries and positives findings were reported from a broad range of clinical settings and procedures. Though further investigation is needed, this is a promising finding that may encourage health systems to implement similar interventions prior to procedures. The review also provided an overview of the existing XR technology utilized for patient education such as a downloadable mobile application with a virtual chatbot character, and an environment designed to simulate the MRI patient’s perspective. These applications provide immersive and interactive experiences when paired with a head mounted headset such as Google VR Cardboard. The findings also revealed that XR tools are customizable and can be tailored to specific surgical procedures, which makes the potential of implementation applicable to a broader range of settings.
{"title":"Applications of Extended Reality (XR) in obtaining informed consent: A narrative review","authors":"Michelle M. Y. Lai, Rob (Hongbo) Chen, Andrew Evanyshyn, Zeina Shaltout, Myrtede C. Alfred","doi":"10.1177/2327857923121011","DOIUrl":"https://doi.org/10.1177/2327857923121011","url":null,"abstract":"Informed consent in healthcare requires patients to have a sufficient understanding of their upcoming procedure before deciding to proceed. Unfortunately, education prior to a surgical procedure is constrained by barriers including poor health literacy, language barriers, one-sided dialogue during consultations, anxiety, and knowledge retention. Extended reality (XR), which includes virtual reality (VR), augmented reality (AR), and mixed reality (MR) has the potential to improve informed consent processes by creating an immersive, interactive, and multimodal sensory experience that supports patient education. The purpose of the study was to review the extant literature on the effectiveness of XR technology in improving patient education, a vital component of informed consent. We screened fifty-two articles and ten relevant papers from PubMed, Scopus, and Compendex, which were included in the review based on our eligibility criteria. We found that VR and AR proved effective in enhancing patient education in eight studies, and thus improving informed consent processes. MR was not utilized in the studies reviewed. The studies were conducted in several countries and positives findings were reported from a broad range of clinical settings and procedures. Though further investigation is needed, this is a promising finding that may encourage health systems to implement similar interventions prior to procedures. The review also provided an overview of the existing XR technology utilized for patient education such as a downloadable mobile application with a virtual chatbot character, and an environment designed to simulate the MRI patient’s perspective. These applications provide immersive and interactive experiences when paired with a head mounted headset such as Google VR Cardboard. The findings also revealed that XR tools are customizable and can be tailored to specific surgical procedures, which makes the potential of implementation applicable to a broader range of settings.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"43 - 44"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47790952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121044
H. M. Mehrzad, T. Stüdeli, Helene Quie
Integrating the human factors engineering (HFE) process, and its user-centered approach, into the medical device and combination Product and Development Process (PDP), has been an ongoing challenge for its respective industries and Human Factors (HF) practitioners within it for decades. Yet, despite continuous process adaptation and evolution of the HFE process, as well as the introduction of standards and health authority guidelines, the early integration of a risk-based and user-centered approach within the development and design process remains an ongoing practical challenge occupying the minds of most. With the introduction of the European MDR 2017/745 in 2017, an additional emphasis was put on the importance of use-related risk identification, assessment, and data based evaluation within the clinical evaluation process, and with such introduces clinical teams to (new) ‘use-related risk challenges’ as well. This paper provides a framework for early integration of an iterative use-related risk analysis approach, addressing common practical challenges, and providing best practices for such. Furthermore, it highlights how applying a collaborative approach between HF and clinical efforts would permit for collection of more robust use-related data sets, thus potentially optimizing use-related risk, residual risk, and risk-benefit analyses and their processes.
{"title":"Best Practices for Use-Related Risk Analysis Through Collaboration of Human Factors and Clinical","authors":"H. M. Mehrzad, T. Stüdeli, Helene Quie","doi":"10.1177/2327857923121044","DOIUrl":"https://doi.org/10.1177/2327857923121044","url":null,"abstract":"Integrating the human factors engineering (HFE) process, and its user-centered approach, into the medical device and combination Product and Development Process (PDP), has been an ongoing challenge for its respective industries and Human Factors (HF) practitioners within it for decades. Yet, despite continuous process adaptation and evolution of the HFE process, as well as the introduction of standards and health authority guidelines, the early integration of a risk-based and user-centered approach within the development and design process remains an ongoing practical challenge occupying the minds of most. With the introduction of the European MDR 2017/745 in 2017, an additional emphasis was put on the importance of use-related risk identification, assessment, and data based evaluation within the clinical evaluation process, and with such introduces clinical teams to (new) ‘use-related risk challenges’ as well. This paper provides a framework for early integration of an iterative use-related risk analysis approach, addressing common practical challenges, and providing best practices for such. Furthermore, it highlights how applying a collaborative approach between HF and clinical efforts would permit for collection of more robust use-related data sets, thus potentially optimizing use-related risk, residual risk, and risk-benefit analyses and their processes.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"194 - 199"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48062168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121012
Ronald H. Stevens, Trysha Galloway
In this study we explored neurodynamic candidates for coordinated periods of wakeful rest across team members while they performed healthcare simulations. Wakeful rest occurs sporadically when a person pauses task-related behavior at goal areas or choice points and is thought to be associated with memory replay. Analysis of the second-by-second EEG-derived neurodynamics of Emergency Medical Flight dyads identified periods of inter-brain coordination that surrounded periods of individual team member uncertainty but were negatively correlated with them (r = -.3 to - .81). The brain region expression and inter-brain network connectivity of the shared information had properties consistent with the default mode network (DMN), an important effector of wakeful rest in animals and humans. This shared information was present in the 70-110 Hz electroencephalogram (EEG) spectrum which may represent bursts of memory replay. Going forward, our hypothesis is that these periods of wakeful rest (pauses) associated with increased inter-brain coordination may represent self-imposed or opportunistic ‘time-outs’ for team members to ‘gather their thoughts’ and mentally replay recent events before mentally projecting their plans forward.
{"title":"Let’s pause for a second: Neurodynamic evidence for rapid and coordinated team pauses during simulated patient encounters","authors":"Ronald H. Stevens, Trysha Galloway","doi":"10.1177/2327857923121012","DOIUrl":"https://doi.org/10.1177/2327857923121012","url":null,"abstract":"In this study we explored neurodynamic candidates for coordinated periods of wakeful rest across team members while they performed healthcare simulations. Wakeful rest occurs sporadically when a person pauses task-related behavior at goal areas or choice points and is thought to be associated with memory replay. Analysis of the second-by-second EEG-derived neurodynamics of Emergency Medical Flight dyads identified periods of inter-brain coordination that surrounded periods of individual team member uncertainty but were negatively correlated with them (r = -.3 to - .81). The brain region expression and inter-brain network connectivity of the shared information had properties consistent with the default mode network (DMN), an important effector of wakeful rest in animals and humans. This shared information was present in the 70-110 Hz electroencephalogram (EEG) spectrum which may represent bursts of memory replay. Going forward, our hypothesis is that these periods of wakeful rest (pauses) associated with increased inter-brain coordination may represent self-imposed or opportunistic ‘time-outs’ for team members to ‘gather their thoughts’ and mentally replay recent events before mentally projecting their plans forward.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"45 - 49"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42852414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121042
Safa Elkefi, Esther W. Foo, Jiaying Shen
Subcutaneous drug delivery systems have evolved to include patient-operated devices such as pen injectors, autoinjectors, and on-body injectors. This evolution is driven by a rising need for devices that enable users across chronic disease states to routinely self-administer medications at home instead of going to a clinic. Convenient and easy-to-use autoinjectors are a primary target of interest due to its simplicity to operate. There is an anticipated substantial growth in the autoinjectors market, which is driven by many factors, such as the growing demand for home care due to the increased chronic diseases rate. Autoinjectors that are easy to operate may reduce users’ anxiety related to needle-related phobia, accidents, and errors. Human factors development work is critical since enhanced usability can increase patient acceptability, safety, and compliance. Human factors methodologies can be applied to not only evaluate the safe and effectiveness of a user interface, but also to optimize the design of user interface by considering the user population characteristics including physical, cognitive, and sensory abilities. In this investigation, we focus our efforts on user interface attributes relating to critical tasks in operating the autoinjector device, by consolidating information from successful autoinjector design published in literature and different anthropometric and ergonomic parameters, that could inform the user interface requirements that drive design specifications for autoinjectors.
{"title":"Autoinjector Design Parameters: A Human Factors Perspective","authors":"Safa Elkefi, Esther W. Foo, Jiaying Shen","doi":"10.1177/2327857923121042","DOIUrl":"https://doi.org/10.1177/2327857923121042","url":null,"abstract":"Subcutaneous drug delivery systems have evolved to include patient-operated devices such as pen injectors, autoinjectors, and on-body injectors. This evolution is driven by a rising need for devices that enable users across chronic disease states to routinely self-administer medications at home instead of going to a clinic. Convenient and easy-to-use autoinjectors are a primary target of interest due to its simplicity to operate. There is an anticipated substantial growth in the autoinjectors market, which is driven by many factors, such as the growing demand for home care due to the increased chronic diseases rate. Autoinjectors that are easy to operate may reduce users’ anxiety related to needle-related phobia, accidents, and errors. Human factors development work is critical since enhanced usability can increase patient acceptability, safety, and compliance. Human factors methodologies can be applied to not only evaluate the safe and effectiveness of a user interface, but also to optimize the design of user interface by considering the user population characteristics including physical, cognitive, and sensory abilities. In this investigation, we focus our efforts on user interface attributes relating to critical tasks in operating the autoinjector device, by consolidating information from successful autoinjector design published in literature and different anthropometric and ergonomic parameters, that could inform the user interface requirements that drive design specifications for autoinjectors.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"184 - 190"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45759052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/2327857922111012
Amanda J. Johnson, A. Bisantz, A. Reynolds, S. Meier
Mental health concerns are one of the most significant issues facing our world today. Many solutions are being researched and developed to address the issues associated with mental health. Often these solutions are designed without incorporating the user into the research or development process, resulting in applications that are not useful, usable, or engaging. The following research focused on incorporating this population into the process of developing a mobile application for use during mental health crises.
{"title":"Design of a Decision Support Based Mobile Application for Mental Health Crisis","authors":"Amanda J. Johnson, A. Bisantz, A. Reynolds, S. Meier","doi":"10.1177/2327857922111012","DOIUrl":"https://doi.org/10.1177/2327857922111012","url":null,"abstract":"Mental health concerns are one of the most significant issues facing our world today. Many solutions are being researched and developed to address the issues associated with mental health. Often these solutions are designed without incorporating the user into the research or development process, resulting in applications that are not useful, usable, or engaging. The following research focused on incorporating this population into the process of developing a mobile application for use during mental health crises.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"14 1","pages":"61 - 65"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74716235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/2327857922111002
Trine Groenborg
This paper tackles challenges facing human factors professionals when transitioning into working with Software as Medical Device products. Specifically, it outlines the challenges Novo Nordisk A/S has faced when it comes to applying human factors considerations when developing Software as Medical Device products and ensuring regulatory compliance. It showcases the efforts Novo Nordisk A/S has implemented to meet these challenges and conclude on the learnings Novo Nordisk A/S has had with the proposed solutions.
{"title":"In the Face of New Challenges; Effective Human Factors Engineering for Software as Medical Device Products","authors":"Trine Groenborg","doi":"10.1177/2327857922111002","DOIUrl":"https://doi.org/10.1177/2327857922111002","url":null,"abstract":"This paper tackles challenges facing human factors professionals when transitioning into working with Software as Medical Device products. Specifically, it outlines the challenges Novo Nordisk A/S has faced when it comes to applying human factors considerations when developing Software as Medical Device products and ensuring regulatory compliance. It showcases the efforts Novo Nordisk A/S has implemented to meet these challenges and conclude on the learnings Novo Nordisk A/S has had with the proposed solutions.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"336 1","pages":"13 - 17"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77787910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/2327857922111017
Randy Horton, Bob Moll, K. Yew
Data acquisition on how users are using your product can often be slow to obtain and not lend itself to large-scale deployments or fast release updates. Product analytics is an integrated set of data about your users’ behaviors that allows you to analyze these behaviors, both at the level of the individual user and in aggregate, to gain insights about larger patterns and trends in real time. The use of product analytics in MedTech is still nascent but holds tremendous promise to help turbocharge an evolution towards the frequent release of medical devices. In the context of Software as a Medical Device (SaMD), digital therapeutics (DTx), and other types of connected medical devices, product analytics adds value in three different areas: device design and development, device operations and end-user support, and helping users better use their device and improve their health outcomes.
{"title":"Accelerating the Continuous Improvement of Connected Medical Devices Using Product Analytics","authors":"Randy Horton, Bob Moll, K. Yew","doi":"10.1177/2327857922111017","DOIUrl":"https://doi.org/10.1177/2327857922111017","url":null,"abstract":"Data acquisition on how users are using your product can often be slow to obtain and not lend itself to large-scale deployments or fast release updates. Product analytics is an integrated set of data about your users’ behaviors that allows you to analyze these behaviors, both at the level of the individual user and in aggregate, to gain insights about larger patterns and trends in real time. The use of product analytics in MedTech is still nascent but holds tremendous promise to help turbocharge an evolution towards the frequent release of medical devices. In the context of Software as a Medical Device (SaMD), digital therapeutics (DTx), and other types of connected medical devices, product analytics adds value in three different areas: device design and development, device operations and end-user support, and helping users better use their device and improve their health outcomes.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"38 1","pages":"88 - 91"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81750213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/2327857922111008
Tim Arnold
A common step in any modeling, study, or design project is gathering, reviewing, and making sense of relevant information. Common themes and variation are unearthed from text documents and shaped into usable forms to support the information needs of the project team. It can be a challenge to gather needed information from large numbers of texts and documents necessary to inform design decisions. Computational approaches can be useful in filtering and interpreting information. Unsupervised learning approaches like topic modeling can help to group similar texts and visualize potential themes. Just like grouping texts into similar themes, identifying distinctions can be helpful. This paper describes an approach for finding distinctions across texts and examples of using this information to inform decisions. Finding distinct themes can help to identify gaps and opportunities while guiding decisions and next steps. Identifying and bridging conversation islands across information sources and professions is another step towards managing complexity and connecting the dots of healthcare.
{"title":"Bridging Conversation Islands to Connect Healthcare: Introducing Unique Co-occurring Word Networks to Find Distinct Themes","authors":"Tim Arnold","doi":"10.1177/2327857922111008","DOIUrl":"https://doi.org/10.1177/2327857922111008","url":null,"abstract":"A common step in any modeling, study, or design project is gathering, reviewing, and making sense of relevant information. Common themes and variation are unearthed from text documents and shaped into usable forms to support the information needs of the project team. It can be a challenge to gather needed information from large numbers of texts and documents necessary to inform design decisions. Computational approaches can be useful in filtering and interpreting information. Unsupervised learning approaches like topic modeling can help to group similar texts and visualize potential themes. Just like grouping texts into similar themes, identifying distinctions can be helpful. This paper describes an approach for finding distinctions across texts and examples of using this information to inform decisions. Finding distinct themes can help to identify gaps and opportunities while guiding decisions and next steps. Identifying and bridging conversation islands across information sources and professions is another step towards managing complexity and connecting the dots of healthcare.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"94 1","pages":"44 - 47"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76183080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/2327857922111033
Kiemute Oyibo, Plinio Pelegrini Morita
The COVID-19 pandemic culminated in the global roll-out of contact tracing apps, also known as exposure notification apps (ENAs), to contain the spread of the virus. ENAs notify users about a possible infection and advises them to take certain health measures such as self-isolation and COVID-19 test. While some work has been done on the factors that influence ENA adoption, little attention has been paid to the moderating effect of persuasive design and smartphone usage experience. This paper sets out to bridge this gap using the Government of Canada’s official app “COVID Alert” and Canadian non-adopter population (n = 133) as a case study. Of the seven factors we investigated, perceived trust (β = 0.29, p < 0.01) and perceived enjoyment (β = 0.21, p < 0.05) turned out to be the only significant predictors of non-adopters’ willingness to download the app in the overall model. Both persuasive design and smartphone usage experience moderated some of the relationships in the model. For example, while perceived enjoyment is significant in the persuasive design submodel (β = 0.34, p < 0.01) and low-experience submodel (β = 0.36, p < 0.001), it is not in the control design and high-experience submodels. Moreover, perceived enjoyment (β = 0.36, p < 0.001) and privacy concern (β = -0.46, p < 0.05) turned out to be the strongest predictors in the low-experience and high-experience submodels, respectively. These results indicate that, to improve the download of ENAs, sponsors should implement and highlight app features that foster trust in marketing campaigns and app-store descriptions. Particularly, they should highlight their privacy-protection feature and hedonic attribute among the high-experience and low-experience groups, respectively.
COVID-19大流行的高潮是全球推出接触者追踪应用程序，也称为暴露通知应用程序(ENAs)，以遏制病毒的传播。ENAs会通知用户可能发生感染，并建议用户采取自我隔离和COVID-19检测等健康措施。虽然已经有一些关于影响ENA采用的因素的研究，但很少有人关注劝导式设计和智能手机使用体验的调节作用。本文旨在利用加拿大政府的官方应用程序“COVID Alert”和加拿大非收养人口(n = 133)作为案例研究来弥合这一差距。在我们调查的七个因素中，感知信任(β = 0.29, p < 0.01)和感知享受(β = 0.21, p < 0.05)被证明是整个模型中非采纳者下载应用意愿的唯一显著预测因素。劝导式设计和智能手机使用体验都缓和了模型中的一些关系。例如，虽然感知享受在说服设计子模型(β = 0.34, p < 0.01)和低经验子模型(β = 0.36, p < 0.001)中显著，但在控制设计和高经验子模型中却不显著。此外，感知享受(β = 0.36, p < 0.001)和隐私关注(β = -0.46, p < 0.05)分别是低体验和高体验子模型中最强的预测因子。这些结果表明，为了提高ENAs的下载量，赞助商应该在营销活动和应用商店描述中实施和突出能够培养信任的应用功能。尤其要突出高经验群体的隐私保护特征和低经验群体的享乐属性。
{"title":"Factors Influencing the Willingness to Download COVID-19 Contact Tracing Apps: The Moderating Effect of Persuasive Design and Smartphone Usage Experience","authors":"Kiemute Oyibo, Plinio Pelegrini Morita","doi":"10.1177/2327857922111033","DOIUrl":"https://doi.org/10.1177/2327857922111033","url":null,"abstract":"The COVID-19 pandemic culminated in the global roll-out of contact tracing apps, also known as exposure notification apps (ENAs), to contain the spread of the virus. ENAs notify users about a possible infection and advises them to take certain health measures such as self-isolation and COVID-19 test. While some work has been done on the factors that influence ENA adoption, little attention has been paid to the moderating effect of persuasive design and smartphone usage experience. This paper sets out to bridge this gap using the Government of Canada’s official app “COVID Alert” and Canadian non-adopter population (n = 133) as a case study. Of the seven factors we investigated, perceived trust (β = 0.29, p < 0.01) and perceived enjoyment (β = 0.21, p < 0.05) turned out to be the only significant predictors of non-adopters’ willingness to download the app in the overall model. Both persuasive design and smartphone usage experience moderated some of the relationships in the model. For example, while perceived enjoyment is significant in the persuasive design submodel (β = 0.34, p < 0.01) and low-experience submodel (β = 0.36, p < 0.001), it is not in the control design and high-experience submodels. Moreover, perceived enjoyment (β = 0.36, p < 0.001) and privacy concern (β = -0.46, p < 0.05) turned out to be the strongest predictors in the low-experience and high-experience submodels, respectively. These results indicate that, to improve the download of ENAs, sponsors should implement and highlight app features that foster trust in marketing campaigns and app-store descriptions. Particularly, they should highlight their privacy-protection feature and hedonic attribute among the high-experience and low-experience groups, respectively.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"33 3 1","pages":"163 - 169"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72927473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/2327857922111015
Dante Della Vella, Michael F. Rayo
The COVID-19 pandemic has highlighted the need for increased and more dynamic access to healthcare resources. It has also revealed a novel complication to the effective delivery of health resources to communities, which we call the final inch problem. In our recent COVID-19 pop-up testing work with Columbus Public Health and the Ohio National Guard, we have observed that, even when a healthcare-related service is transported directly to community members, it is not a given that they will use that service. We argue that crossing this final inch will require us to reframe public health initiatives through the lens of joint activity: a partnership between healthcare institutions and the public. Our work focuses on three questions. How do we engage with the public and foster common ground between people and our healthcare providers? As part of this, how can we work with the community to determine where to dynamically direct our resources on a given day? Finally, when we show up at the “right” place, will the community join us? Our recent work creating and deploying the Flexible Algorithmic, Adaptive Surveillance Testing (FAAST) has generated promising insights to answer these questions. Throughout our initial tests, we observed a continuous increase in community participation as well as increased positivity through multiple iterations of the program. We consistently overrepresented traditionally underserved minority groups in all testing locations as well. Insights for convincing communities to participate in pop-up testing may yield repeatable, generalizable strategies by which public health officials and healthcare providers may cross the final inch. Through establishing and nurturing reliable community relationships, public health institutions working in partnership with their constituent communities can proactively monitor the health of their communities, thereby facilitating a more resilient response to emerging threats.
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Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare
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