{"title":"User Perception towards Telemedicine Before and During COVID-19","authors":"Talitha Nabila Saifana, Nori Wilantika","doi":"10.1109/ICACSIS56558.2022.9923475","DOIUrl":null,"url":null,"abstract":"Telemedicine provides various conveniences and solutions to several problems related to health services. The number of downloads of telemedicine apps has increased during the COVID-19 pandemic. However, the continuance mainly depends on user satisfaction associated with user perception of service quality. This study aims to figure out whether there are any changes in user perception toward telemedicine before and during the pandemic. This study proposes an approach that utilizes customer reviews of Halodoc and Alodokter from the Google Play Store. User perception extracted from user reviews includes sentiment polarity and the most discussed topics of telemedicine apps. Further analysis was conducted by mapping the most discussed topics to dimensions of service quality. The results show that the percentage of reviews with negative sentiment during the pandemic increased compared to before the pandemic. The highest percentage of topics discussed in negative nuance during pandemic is about system quality, which are payment methods, unauthorized deduction of user balances, and suspected leaks of users' private data. The findings of this research contribute to the preliminary information related to the sustainability of telemedicine usage. This research also extends the literature on the potential use of textual reviews in user perception on health platforms.","PeriodicalId":165728,"journal":{"name":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS56558.2022.9923475","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Telemedicine provides various conveniences and solutions to several problems related to health services. The number of downloads of telemedicine apps has increased during the COVID-19 pandemic. However, the continuance mainly depends on user satisfaction associated with user perception of service quality. This study aims to figure out whether there are any changes in user perception toward telemedicine before and during the pandemic. This study proposes an approach that utilizes customer reviews of Halodoc and Alodokter from the Google Play Store. User perception extracted from user reviews includes sentiment polarity and the most discussed topics of telemedicine apps. Further analysis was conducted by mapping the most discussed topics to dimensions of service quality. The results show that the percentage of reviews with negative sentiment during the pandemic increased compared to before the pandemic. The highest percentage of topics discussed in negative nuance during pandemic is about system quality, which are payment methods, unauthorized deduction of user balances, and suspected leaks of users' private data. The findings of this research contribute to the preliminary information related to the sustainability of telemedicine usage. This research also extends the literature on the potential use of textual reviews in user perception on health platforms.
远程医疗为与卫生服务有关的若干问题提供了各种便利和解决方案。在2019冠状病毒病大流行期间,远程医疗应用程序的下载量有所增加。然而,持续与否主要取决于用户满意度与用户对服务质量的感知。这项研究的目的是弄清楚用户对远程医疗的认知在大流行之前和期间是否有任何变化。本研究提出了一种利用来自Google Play Store的Halodoc和Alodokter的用户评论的方法。从用户评论中提取的用户感知包括情感极性和远程医疗应用中讨论最多的话题。通过将讨论最多的主题映射到服务质量的维度,进行了进一步的分析。结果显示,与疫情前相比,疫情期间负面评价的百分比有所增加。在大流行期间,以负面细微差别讨论的话题比例最高的是系统质量,即支付方式、未经授权扣除用户余额以及可疑的用户私人数据泄露。本研究的结果有助于提供与远程医疗使用的可持续性有关的初步信息。本研究还扩展了关于文本评论在健康平台用户感知中的潜在用途的文献。