{"doi":"10.1016/j.pecinn.2023.100134","title":"Facilitating family communication of familial hypercholesterolemia genetic risk: Assessing engagement with innovative chatbot technology from the IMPACT-FH study","abstract":"Objective: To assess use of two web-based conversational agents, the Family Sharing Chatbot (FSC) and One Month Chatbot (OMC), by individuals with familial hypercholesterolemia (FH). Methods: FSC and OMC were sent using an opt-out methodology to a cohort of individuals receiving a FH genetic result. Data from 7/1/2021 through 5/12/2022 was obtained from the electronic health record and the chatbots' HIPAA-secure web portal. Results: Of 175 subjects, 21 (12%) opted out of the chatbots. Older individuals were more likely to opt out. Most (91/154, 59%) preferred receiving chatbots via the patient EHR portal. Seventy-five individuals (49%) clicked the FSC link, 62 (40%) interacted, and 36 (23%) shared a chatbot about their FH result with at least one relative. Ninety-two of the subjects received OMC, 22 (23%) clicked the link and 20 (21%) interacted. Individuals who shared were majority female and younger on average than the overall cohort. Reminders tended to increase engagement. Conclusion: Results demonstrate characteristics relevant to chatbot engagement. Individuals may be more inclined to receive chatbots if integrated within the patient EHR portal. Frequent reminders can potentially improve chatbot utilization. Innovation: FSC and OMC employ innovative digital health technology that can facilitate family communication about hereditary conditions.","journal":"PEC Innovation","year":2023,"id":338035,"datarank":0.6792215661249713,"base_score":2.8903717578961645,"endowment":2.8903717578961645,"self_citation_contribution":0.4335557636844247,"citation_network_contribution":0.2456658024405466,"self_endowment_contribution":0.4335557636844247,"citer_contribution":0.2456658024405466,"corpus_percentile":70.58095459116578,"corpus_rank":3804,"citation_count":17,"citer_count":17,"citers_with_citation_signal":13,"citers_with_endowment":13,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.6875,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1070421,"name":"Zoe Lindsey‐Mills","orcid":null,"position":1,"is_corresponding":false},{"id":916759,"name":"Andrew Brangan","orcid":"0000-0002-6196-145X","position":2,"is_corresponding":false},{"id":81970,"name":"Sarah Savage","orcid":null,"position":3,"is_corresponding":false},{"id":257679,"name":"Tara Schmidlen","orcid":"0000-0002-9749-112X","position":4,"is_corresponding":false},{"id":1069985,"name":"Kelly Morgan","orcid":"0000-0001-8077-7845","position":5,"is_corresponding":false},{"id":697981,"name":"Eric P. Tricou","orcid":"0000-0002-8098-1990","position":6,"is_corresponding":false},{"id":1070422,"name":"Megan M. Betts","orcid":null,"position":7,"is_corresponding":false},{"id":257680,"name":"Laney K. Jones","orcid":"0000-0002-6182-5634","position":8,"is_corresponding":false},{"id":230112,"name":"Amy C. Sturm","orcid":"0000-0001-6839-7786","position":9,"is_corresponding":false},{"id":504680,"name":"Gemme Campbell‐Salome","orcid":"0000-0003-1377-5705","position":10,"is_corresponding":false},{"id":590394,"name":"Nicole Walters","orcid":"0000-0001-6668-9072","position":0,"is_corresponding":true}],"reference_count":44,"raw_metadata":null,"created_at":"2026-07-19T01:10:31.133446Z","pmid":"37214500","pmcid":"PMC10194298","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}