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

被引:0
|
作者
Soni, Hiral [1 ]
Morrison, Heath [1 ]
Vasilev, Dinko [1 ]
Ong, Triton [1 ]
Wilczewski, Hattie [1 ]
Allen, Caitlin [2 ]
Hughes-Halbert, Chanita [3 ]
Ritchie, Jordon B. [2 ]
Narma, Alexa [1 ]
Schiffman, Joshua D. [4 ]
Ivanova, Julia [1 ]
Bunnell, Brian E. [1 ,5 ]
Welch, Brandon M. [1 ,2 ]
机构
[1] Doxy me Inc, Doxy me Res, 3445 Winton Pl,Ste 114, Rochester, NY 14623 USA
[2] Med Univ South Carolina, Biomed Informat Ctr, Publ Hlth & Sci, Charleston, SC USA
[3] Med Univ South Carolina, Dept Psychiat & Behav Sci, Charleston, SC USA
[4] Univ Utah, Dept Pediat, Salt Lake City, UT USA
[5] Univ S Florida, Dept Psychiat & Behav Neurosci, Innovat Mental Hlth Lab, Tampa, FL USA
关键词
family health history; health information technology; chatbot; user experience; telemetry; user behavior;
D O I
10.1177/14604582241262251
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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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页数:16
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