{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T23:46:21Z","timestamp":1777851981990,"version":"3.51.4"},"reference-count":26,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["1R41CA239867-01A1"],"award-info":[{"award-number":["1R41CA239867-01A1"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["K07CA211786"],"award-info":[{"award-number":["K07CA211786"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000092","name":"U.S. National Library of Medicine","doi-asserted-by":"publisher","award":["1R41LM013419-01"],"award-info":[{"award-number":["1R41LM013419-01"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["K23MH118482"],"award-info":[{"award-number":["K23MH118482"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R41MH126734"],"award-info":[{"award-number":["R41MH126734"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["1F99CA253576-01"],"award-info":[{"award-number":["1F99CA253576-01"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2024,4]]},"abstract":"<jats:p>\n                    Objective: Family health history (FHx) is an important tool in assessing one\u2019s risk towards specific health conditions. However, user experience of FHx collection tools is rarely studied.\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/ItRunsInMyFamily.com\">ItRunsInMyFamily.com<\/jats:ext-link>\n                    (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\u00a0s. Users spent the highest median time on Proband Cancer History (124.00\u00a0s) and Family Cancer History (119.00\u00a0s) subflows. Search list questions took the longest to complete (median 19.50\u00a0s), followed by free text email input (15.00\u00a0s). 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.\n                  <\/jats:p>","DOI":"10.1177\/14604582241262251","type":"journal-article","created":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T11:05:10Z","timestamp":1718190310000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["User experience of a family health history chatbot: A quantitative analysis"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2054-3737","authenticated-orcid":false,"given":"Hiral","family":"Soni","sequence":"first","affiliation":[{"name":"Doxy.me Inc."}]},{"given":"Heath","family":"Morrison","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."}]},{"given":"Dinko","family":"Vasilev","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."}]},{"given":"Triton","family":"Ong","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."}]},{"given":"Hattie","family":"Wilczewski","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."}]},{"given":"Caitlin","family":"Allen","sequence":"additional","affiliation":[{"name":"Medical University of South Carolina"}]},{"given":"Chanita","family":"Hughes-Halbert","sequence":"additional","affiliation":[{"name":"Medical University of South Carolina"}]},{"given":"Jordon B","family":"Ritchie","sequence":"additional","affiliation":[{"name":"Medical University of South Carolina"}]},{"given":"Alexa","family":"Narma","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."}]},{"given":"Joshua D","family":"Schiffman","sequence":"additional","affiliation":[{"name":"University of Utah"}]},{"given":"Julia","family":"Ivanova","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."}]},{"given":"Brian E","family":"Bunnell","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."},{"name":"University of South Florida"}]},{"given":"Brandon M","family":"Welch","sequence":"additional","affiliation":[{"name":"Doxy.me Inc."},{"name":"Medical University of South Carolina"}]}],"member":"179","published-online":{"date-parts":[[2024,6,12]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10897-018-0235-7"},{"issue":"1","key":"e_1_3_4_3_2","first-page":"1","article-title":"Mapping users\u2019 experience of a family history and genetic risk algorithm tool in primary care","volume":"25","author":"Miro\u0161evi\u010d \u0160","year":"2021","unstructured":"Miro\u0161evi\u010d \u0160, Krajc K, Klemenc-Keti\u0161 Z, et al. Mapping users\u2019 experience of a family history and genetic risk algorithm tool in primary care. Public Health Genomics. 2021; 25(1\u20132): 1\u201310.","journal-title":"Public Health Genomics"},{"key":"e_1_3_4_4_2","first-page":"1316","article-title":"Collecting family health history using an online social network: a nationwide survey among potential users","volume":"2015","author":"Welch BM","year":"2015","unstructured":"Welch BM, O\u2019Connell NS, Qanungo S, et al. Collecting family health history using an online social network: a nationwide survey among potential users. AMIA Annu Symp Proc 2015; 2015: 1316\u20131325.","journal-title":"AMIA Annu Symp Proc"},{"key":"e_1_3_4_5_2","doi-asserted-by":"publisher","DOI":"10.1159\/000294415"},{"key":"e_1_3_4_6_2","first-page":"1","article-title":"Chatbots as conversational healthcare services","volume":"25","author":"Jovanovic M","year":"2020","unstructured":"Jovanovic M, Baez M, Casati F. Chatbots as conversational healthcare services. IEEE Internet Comput 2020; 25: 1\u201310.","journal-title":"IEEE Internet Comput"},{"key":"e_1_3_4_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/jgc4.1239"},{"key":"e_1_3_4_8_2","doi-asserted-by":"publisher","DOI":"10.2217\/pme.11.53"},{"key":"e_1_3_4_9_2","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocz008"},{"key":"e_1_3_4_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.pec.2021.02.034"},{"key":"e_1_3_4_11_2","article-title":"Telemetry in software","author":"Dugar V","year":"2019","unstructured":"Dugar V. 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