Stefan Wicki, Ian C Clark, Manuel Amann, Sebastian M Christ, Markus Schettle, Caroline Hertler, Gudrun Theile, David Blum
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Evaluation of attitudes and perceptions combined with quantification of prior use habits favor an understanding of psychological barriers to PC patient acceptance of digital health technologies including artificial intelligence (AI).</p><p><strong>Objectives: </strong>We aimed to evaluate the attitudes and perceptions of PC patients regarding a broad range of digital health technologies used in their routine monitoring and treatment and identify barriers to use.</p><p><strong>Methods: </strong>We used a 39-item questionnaire to evaluate acceptance and use of smartphone-based electronic patient report outcome measures, wearables, AI, data privacy, and virtual reality (VR) in 29 female and male PC inpatients.</p><p><strong>Results: </strong>A majority of patients indicated an interest in (69.0%) and positive attitude toward (75.9%) digital health technologies. Nearly all (93.1%) patients believe that digital health technologies will become more important in medicine in the future. Most patients would consider using their smartphone (79.3%) or wearable (69.0%) more often for their health. The most feasible technologies were smartphones, wearables, and VR. Barriers to acceptance included unfamiliarity, data security, errors in data interpretation, and loss of personal interaction through AI.</p><p><strong>Conclusion: </strong>In this patient survey, acceptance of new technologies in a PC patient population was high, encouraging its use also at the end-of-life.</p>","PeriodicalId":74394,"journal":{"name":"Palliative medicine reports","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10797306/pdf/","citationCount":"0","resultStr":"{\"title\":\"Acceptance of Digital Health Technologies in Palliative Care Patients.\",\"authors\":\"Stefan Wicki, Ian C Clark, Manuel Amann, Sebastian M Christ, Markus Schettle, Caroline Hertler, Gudrun Theile, David Blum\",\"doi\":\"10.1089/pmr.2023.0062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Digital health technologies have potential to transform palliative care (PC) services. The global aging population poses unique challenges for PC, which digital health technologies may help overcome. Evaluation of attitudes and perceptions combined with quantification of prior use habits favor an understanding of psychological barriers to PC patient acceptance of digital health technologies including artificial intelligence (AI).</p><p><strong>Objectives: </strong>We aimed to evaluate the attitudes and perceptions of PC patients regarding a broad range of digital health technologies used in their routine monitoring and treatment and identify barriers to use.</p><p><strong>Methods: </strong>We used a 39-item questionnaire to evaluate acceptance and use of smartphone-based electronic patient report outcome measures, wearables, AI, data privacy, and virtual reality (VR) in 29 female and male PC inpatients.</p><p><strong>Results: </strong>A majority of patients indicated an interest in (69.0%) and positive attitude toward (75.9%) digital health technologies. 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引用次数: 0
摘要
背景:数字医疗技术有可能改变姑息治疗(PC)服务。全球人口老龄化给姑息治疗带来了独特的挑战,而数字医疗技术可能有助于克服这些挑战。对患者的态度和认知进行评估,并对其之前的使用习惯进行量化,有助于了解患者接受包括人工智能(AI)在内的数字医疗技术的心理障碍:我们旨在评估 PC 患者对其日常监测和治疗中使用的各种数字医疗技术的态度和看法,并找出使用障碍:我们使用了一份包含 39 个项目的调查问卷,评估了 29 名女性和男性 PC 住院患者对基于智能手机的电子患者报告结果测量、可穿戴设备、人工智能、数据隐私和虚拟现实(VR)的接受程度和使用情况:大多数患者表示对数字医疗技术感兴趣(69.0%),并持积极态度(75.9%)。几乎所有患者(93.1%)都认为数字医疗技术在未来的医疗中将变得更加重要。大多数患者会考虑更频繁地使用智能手机(79.3%)或可穿戴设备(69.0%)来促进健康。最可行的技术是智能手机、可穿戴设备和 VR。接受新技术的障碍包括不熟悉、数据安全、数据解读错误以及通过人工智能失去个人互动:在这项患者调查中,PC 患者群体对新技术的接受度很高,这也鼓励了他们在生命末期使用新技术。
Acceptance of Digital Health Technologies in Palliative Care Patients.
Background: Digital health technologies have potential to transform palliative care (PC) services. The global aging population poses unique challenges for PC, which digital health technologies may help overcome. Evaluation of attitudes and perceptions combined with quantification of prior use habits favor an understanding of psychological barriers to PC patient acceptance of digital health technologies including artificial intelligence (AI).
Objectives: We aimed to evaluate the attitudes and perceptions of PC patients regarding a broad range of digital health technologies used in their routine monitoring and treatment and identify barriers to use.
Methods: We used a 39-item questionnaire to evaluate acceptance and use of smartphone-based electronic patient report outcome measures, wearables, AI, data privacy, and virtual reality (VR) in 29 female and male PC inpatients.
Results: A majority of patients indicated an interest in (69.0%) and positive attitude toward (75.9%) digital health technologies. Nearly all (93.1%) patients believe that digital health technologies will become more important in medicine in the future. Most patients would consider using their smartphone (79.3%) or wearable (69.0%) more often for their health. The most feasible technologies were smartphones, wearables, and VR. Barriers to acceptance included unfamiliarity, data security, errors in data interpretation, and loss of personal interaction through AI.
Conclusion: In this patient survey, acceptance of new technologies in a PC patient population was high, encouraging its use also at the end-of-life.