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: 10.1177/2327857923121050
Kathren Pavlov, F. Montalvo, J. Sasser, Luciana Jones, Alexis M. DiBello, D. McConnell, J. Smither
At-home dialysis treatments are becoming increasingly common as suitable options for renal disease treatment. However, the nature of self-administered, at-home dialysis presents specific medical risks and unsupervised patient experiences that require unique attention by health professionals. This study utilized Arhippainen’s ten user experience heuristics to evaluate and identify strengths and weaknesses of at-home dialysis treatments while suggesting methods to improve the at-home patient experience. Results of our heuristic assessment showed that some at-home dialysis providers consider patient needs and consider human factor design aspects. However, patient experience can still be improved by implementing UX principles aimed at providing a satisfying and positive interaction with products and services.
{"title":"Human Factors and User Experience in At-Home Dialysis Treatment Technology and Patient Procedures","authors":"Kathren Pavlov, F. Montalvo, J. Sasser, Luciana Jones, Alexis M. DiBello, D. McConnell, J. Smither","doi":"10.1177/2327857923121050","DOIUrl":"https://doi.org/10.1177/2327857923121050","url":null,"abstract":"At-home dialysis treatments are becoming increasingly common as suitable options for renal disease treatment. However, the nature of self-administered, at-home dialysis presents specific medical risks and unsupervised patient experiences that require unique attention by health professionals. This study utilized Arhippainen’s ten user experience heuristics to evaluate and identify strengths and weaknesses of at-home dialysis treatments while suggesting methods to improve the at-home patient experience. Results of our heuristic assessment showed that some at-home dialysis providers consider patient needs and consider human factor design aspects. However, patient experience can still be improved by implementing UX principles aimed at providing a satisfying and positive interaction with products and services.","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":"223 - 228"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41550079","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: 10.1177/2327857923121019
Daniel T. Nystrom, Joel Thomas, Chris Jones
The introduction of continuous cardiac monitoring via telemetry provides a method to ensure patient care is safe and effective. At the same time, the implementation of this technology has raised concerns about telemetry technician (teletech) work. This project provides a two-fold look at teletech’ work in real-time settings to describe teletech interactions with unit staff and to explore the relationship between measures of teletech’ workload and patient load. Results suggest the implementation of telemetry systems necessitate a mutual dependence between teletechs and unit staff: unit staff rely on teletechs to inform them of concerning patient states; teletechs rely on unit staff to maintain the integrity and accuracy of the telemetry system and the patient data they observe. Results from measures of teletech’ workload and patient load align with previous work that explored teletech’ patient load in simulated settings. Agreement between the current project and previous studies also suggest a potential patient load capacity of 33 patients for continuous telemonitoring work. Future research and implications for academics, healthcare operations, and the design of telemetry systems are discussed.
{"title":"Preliminary Evaluation of Cardiac Telemetry Technician Work in a Large Health System: Mutual Dependence and Considerations for Patient Load","authors":"Daniel T. Nystrom, Joel Thomas, Chris Jones","doi":"10.1177/2327857923121019","DOIUrl":"https://doi.org/10.1177/2327857923121019","url":null,"abstract":"The introduction of continuous cardiac monitoring via telemetry provides a method to ensure patient care is safe and effective. At the same time, the implementation of this technology has raised concerns about telemetry technician (teletech) work. This project provides a two-fold look at teletech’ work in real-time settings to describe teletech interactions with unit staff and to explore the relationship between measures of teletech’ workload and patient load. Results suggest the implementation of telemetry systems necessitate a mutual dependence between teletechs and unit staff: unit staff rely on teletechs to inform them of concerning patient states; teletechs rely on unit staff to maintain the integrity and accuracy of the telemetry system and the patient data they observe. Results from measures of teletech’ workload and patient load align with previous work that explored teletech’ patient load in simulated settings. Agreement between the current project and previous studies also suggest a potential patient load capacity of 33 patients for continuous telemonitoring work. Future research and implications for academics, healthcare operations, and the design of telemetry systems are discussed.","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":"71 - 75"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46166834","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: 10.1177/2327857923121034
Anthony Soung Yee, Laurel Cyr, Carleene Bañez, S. Gelmi, C. Gaulton, Trevor N. T. Hall
This paper describes the collaborative work performed as part of a patient safety and quality improvement choking risk prevention initiative in a specialty mental health hospital in Ontario, Canada. In 2021, Ontario Shores Centre for Mental Health Sciences (Ontario Shores), in collaboration with the Healthcare Insurance Reciprocal of Canada (HIROC), conducted a Failure Modes and Effects Analysis (FMEA) to identify potential failure modes for their choking risk prevention process. “Failure modes” refer to states in a process that have the potential for unintended consequences. The interdisciplinary project team developed and validated a current-state process map, through which identified all opportunities for process improvement. A thematic analysis of the barriers revealed 14 distinct failure modes, each of which were rated along three scales (Severity, Occurrence, and Detectability) to form a ranked list based on Risk Priority Number. As part of a prospective analysis, several system-based and people-based mitigations were generated for each of the failure modes. As a result of the FMEA, Ontario Shores developed, and is in the process of, implementing a choking risk prevention and risk mitigation strategies action plan. In addition, the authors offer some reflections on the collaborative work between the two organizations, in recognition of the opportunity for healthcare organizations to benefit from human factors expertise and principles of applied safety science, usability engineering, and user-centered design.
{"title":"Applying Failure Mode Effects Analysis (FMEA) to Improve Choking Risk Prevention in a Mental Health Setting: Analysis Outcomes and Lessons Learned on Human Factors Collaboration","authors":"Anthony Soung Yee, Laurel Cyr, Carleene Bañez, S. Gelmi, C. Gaulton, Trevor N. T. Hall","doi":"10.1177/2327857923121034","DOIUrl":"https://doi.org/10.1177/2327857923121034","url":null,"abstract":"This paper describes the collaborative work performed as part of a patient safety and quality improvement choking risk prevention initiative in a specialty mental health hospital in Ontario, Canada. In 2021, Ontario Shores Centre for Mental Health Sciences (Ontario Shores), in collaboration with the Healthcare Insurance Reciprocal of Canada (HIROC), conducted a Failure Modes and Effects Analysis (FMEA) to identify potential failure modes for their choking risk prevention process. “Failure modes” refer to states in a process that have the potential for unintended consequences. The interdisciplinary project team developed and validated a current-state process map, through which identified all opportunities for process improvement. A thematic analysis of the barriers revealed 14 distinct failure modes, each of which were rated along three scales (Severity, Occurrence, and Detectability) to form a ranked list based on Risk Priority Number. As part of a prospective analysis, several system-based and people-based mitigations were generated for each of the failure modes. As a result of the FMEA, Ontario Shores developed, and is in the process of, implementing a choking risk prevention and risk mitigation strategies action plan. In addition, the authors offer some reflections on the collaborative work between the two organizations, in recognition of the opportunity for healthcare organizations to benefit from human factors expertise and principles of applied safety science, usability engineering, and user-centered design.","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":"147 - 150"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41858994","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: 10.1177/2327857923121031
Arthur Tung, M. Fan, S. Pinkney, B. Armstrong, Kenneth R Catchpole, P. Trbovich
Preventable intraoperative adverse events (iAEs) may emerge from interactions between multiple work system factors (WSFs) (e.g., technology design, organizational policy, physical environment); these interactions may amplify or dampen patient safety risk. We conducted an exploratory observational study using audiovisual data captured by the Operating Room Black Box to characterize the relationships between associated WSFs. Human factors specialists reviewed video recordings of surgical procedures before transcribing events of interest and classifying them into the relevant WSF categories as defined by the Systems Engineering Initiative for Patient Safety model. Each WSF code was categorized as either a safety threat (ST) or resilience support (RS), and their interactions with associated WSFs were characterized. We transcribed 706 events over 73.5 hours of surgery, and 32 iAEs were identified. We coded 382 STs and 312 RSs, and 249 co-occurring WSF pairings. Co-occurring team (e.g., clear communication, feedback, and leadership) RSs were found to be the most prevalent mechanism to dampen all categories of ST. Co-occurring task (e.g., challenging anatomy) and environment (e.g., disruptive working environments, suboptimal ergonomic monitor setups) STs were the most common risk amplifiers contributing to the occurrence of iAEs. By assessing WSFs in the context of other WSFs, future research may develop interventions that more precisely target risk reduction in the operating room.
{"title":"Amplifiers and Dampeners of Patient Safety Risk in the Operating Room: Interim Analysis of Surgical Video Recorded with the Operating Room Black Box","authors":"Arthur Tung, M. Fan, S. Pinkney, B. Armstrong, Kenneth R Catchpole, P. Trbovich","doi":"10.1177/2327857923121031","DOIUrl":"https://doi.org/10.1177/2327857923121031","url":null,"abstract":"Preventable intraoperative adverse events (iAEs) may emerge from interactions between multiple work system factors (WSFs) (e.g., technology design, organizational policy, physical environment); these interactions may amplify or dampen patient safety risk. We conducted an exploratory observational study using audiovisual data captured by the Operating Room Black Box to characterize the relationships between associated WSFs. Human factors specialists reviewed video recordings of surgical procedures before transcribing events of interest and classifying them into the relevant WSF categories as defined by the Systems Engineering Initiative for Patient Safety model. Each WSF code was categorized as either a safety threat (ST) or resilience support (RS), and their interactions with associated WSFs were characterized. We transcribed 706 events over 73.5 hours of surgery, and 32 iAEs were identified. We coded 382 STs and 312 RSs, and 249 co-occurring WSF pairings. Co-occurring team (e.g., clear communication, feedback, and leadership) RSs were found to be the most prevalent mechanism to dampen all categories of ST. Co-occurring task (e.g., challenging anatomy) and environment (e.g., disruptive working environments, suboptimal ergonomic monitor setups) STs were the most common risk amplifiers contributing to the occurrence of iAEs. By assessing WSFs in the context of other WSFs, future research may develop interventions that more precisely target risk reduction in the operating room.","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":"130 - 135"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45451311","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}
Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：