User experience of a family health history chatbot: A quantitative analysis.

IF 2.2 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Health Informatics Journal Pub Date : 2024-04-01 DOI:10.1177/14604582241262251

Hiral Soni, Heath Morrison, Dinko Vasilev, Triton Ong, Hattie Wilczewski, Caitlin Allen, Chanita Hughes-Halbert, Jordon B Ritchie, Alexa Narma, Joshua D Schiffman, Julia Ivanova, Brian E Bunnell, Brandon M Welch

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引用次数: 0

Abstract

Objective: Family health history (FHx) is an important tool in assessing one's risk towards specific health conditions. However, user experience of FHx collection tools is rarely studied. ItRunsInMyFamily.com (ItRuns) was developed to assess FHx and hereditary cancer risk. This study reports a quantitative user experience analysis of ItRuns.

Methods: We conducted a public health campaign in November 2019 to promote FHx collection using ItRuns. We used software telemetry to quantify abandonment and time spent on ItRuns to identify user behaviors and potential areas of improvement.

Results: Of 11,065 users who started the ItRuns assessment, 4305 (38.91%) reached the final step to receive recommendations about hereditary cancer risk. Highest abandonment rates were during Introduction (32.82%), Invite Friends (29.03%), and Family Cancer History (12.03%) subflows. Median time to complete the assessment was 636 s. Users spent the highest median time on Proband Cancer History (124.00 s) and Family Cancer History (119.00 s) subflows. Search list questions took the longest to complete (median 19.50 s), followed by free text email input (15.00 s).

Conclusion: Knowledge of objective user behaviors at a large scale and factors impacting optimal user experience will help enhance the ItRuns workflow and improve future FHx collection.

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家庭健康史聊天机器人的用户体验：定量分析

目的家庭健康史（FHx）是评估个人特定健康状况风险的重要工具。然而，很少有人研究过用户对家庭健康史收集工具的使用体验。ItRunsInMyFamily.com (ItRuns) 是为评估家族健康史和遗传性癌症风险而开发的。本研究对 ItRuns 的用户体验进行了定量分析：我们于 2019 年 11 月开展了一项公共卫生活动，推广使用 ItRuns 收集全血细胞计数。我们使用软件遥测技术量化了放弃率和在 ItRuns 上花费的时间，以确定用户行为和潜在的改进领域：在开始进行 ItRuns 评估的 11065 名用户中，有 4305 人（38.91%）完成了最后一步，获得了有关遗传性癌症风险的建议。放弃率最高的是 "介绍"（32.82%）、"邀请朋友"（29.03%）和 "家族癌症史"（12.03%）子流程。用户在 "癌症病史"（124.00 秒）和 "癌症家族史"（119.00 秒）子流程上花费的时间中位数最高。搜索列表问题花费的时间最长（中位数为 19.50 秒），其次是自由文本电子邮件输入（15.00 秒）：结论：了解大规模用户的客观行为以及影响最佳用户体验的因素将有助于改进 ItRuns 工作流程，并改善未来的癌症病史收集工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS

CiteScore

7.80

自引率

6.70%

发文量

审稿时长

6 months

期刊介绍： Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.