Nguyen Hung Long, Tran Khoa, Doan Phuong Le Nam, Nguyen Tuyet
Department of Youth Lab for Social Innovation, MiYork Research, Ho Chi Minh City, Vietnam.
Department of Biology, Vietnam National University Ho Chi Minh City - High School for the Gifted, Ho Chi Minh City, Vietnam.
Patient Prefer Adherence. 2022 Feb 2;16:265-284. doi: 10.2147/PPA.S348790. eCollection 2022.
Vietnam's economy and intellectual standards have witnessed significant development, improving conditions for residents to acquire novel mHealth applications. Additionally, the outbreak of the COVID-19 pandemic has influenced Vietnamese awareness of healthcare; however, previous studies have only been clinician-centered rather than customer-centered.
This study addresses this literature gap by interviewing 50 Vietnamese participants grouped by age, namely Generation X, Generation Y, and Generation Z, and health conditions, namely whether participants or family members have chronic illness. The study utilized semi-structured and in-depth interviews to collect the data and used thematic analysis to analyze the data under the unified theory of acceptance and use of technology framework.
Most participants were willing to adopt this technology and demanded a convenient and user-friendly one-stop-shop solution, endorsements from credible and authoritative sources, and professional customer services. However, each group also had distinctive demands and behaviors.
This study contributes theoretically by providing context-rich demand for Vietnamese customers across three generations and healthcare conditions during the COVID-19 pandemic and comparing their behavior with pre-COVID literature. While this research provides helpful information for potential app developers, this study also suggests that mHealth developers and policymakers should pay more attention to the differences in the demand of age groups and health conditions.
越南的经济和智力水平有了显著发展,改善了居民获取新型移动健康应用程序的条件。此外,新冠疫情的爆发影响了越南民众的医疗保健意识;然而,以往的研究仅以临床医生为中心,而非以客户为中心。
本研究通过采访50名越南参与者来填补这一文献空白,这些参与者按年龄分为X一代、Y一代和Z一代,并按健康状况分为参与者或家庭成员是否患有慢性病。该研究利用半结构化和深度访谈来收集数据,并在技术接受与使用统一理论框架下使用主题分析来分析数据。
大多数参与者愿意采用这项技术,并要求提供便捷、用户友好的一站式解决方案、可靠权威来源的认可及专业的客户服务。然而,每个群体也有独特的需求和行为。
本研究在理论上做出了贡献,通过提供新冠疫情期间越南三代人和不同健康状况客户丰富的需求背景,并将他们的行为与疫情前的文献进行比较。虽然这项研究为潜在的应用程序开发者提供了有用信息,但也表明移动健康开发者和政策制定者应更多地关注年龄组和健康状况需求的差异。