{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4"],"submitter":["Burton L"],"pubmed_abstract":["<h4>Objective</h4>This study created personas using quantitative segmentation and knowledge user enhancement to inform intervention and service design for rural patients to encourage preventive care uptake.<h4>Methods</h4>This study comprised a cross-sectional survey of rural unattached patients and a co-design workshop for persona development. Cross-sectional survey data were analyzed for meaningful subgroups based on quartiles of preventive care completion. These quartiles informed \"relevant user segments\" grouped according to demographics (age, sex), length of unattachment, percentage of up-to-date preventive activities, health care visit frequency, preventive priorities, communication confidence with providers, and chronic health conditions, which were then used in the workshop to buil"],"journal":["PEC innovation"],"pagination":["100274"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10973187"],"repository":["biostudies-literature"],"pubmed_title":["Generating user-driven patient personas to support preventive health care activities of rural-living unattached patients."],"pmcid":["PMC10973187"],"pubmed_authors":["Rush KL","Burton L","Seaton CL","Corman K","Davis S","Smith MA","Ronquillo CE","Li EPH"],"additional_accession":[]},"is_claimable":false,"name":"Generating user-driven patient personas to support preventive health care activities of rural-living unattached patients.","description":"<h4>Objective</h4>This study created personas using quantitative segmentation and knowledge user enhancement to inform intervention and service design for rural patients to encourage preventive care uptake.<h4>Methods</h4>This study comprised a cross-sectional survey of rural unattached patients and a co-design workshop for persona development. Cross-sectional survey data were analyzed for meaningful subgroups based on quartiles of preventive care completion. These quartiles informed \"relevant user segments\" grouped according to demographics (age, sex), length of unattachment, percentage of up-to-date preventive activities, health care visit frequency, preventive priorities, communication confidence with providers, and chronic health conditions, which were then used in the workshop to buil","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2025-04-26T11:24:50.219Z","creation":"2025-04-06T13:41:09.97Z"},"accession":"S-EPMC10973187","cross_references":{"pubmed":["38550352"],"doi":["10.1016/j.pecinn.2024.100274"]}}