{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lavelle TA"],"funding":["Centers for Disease Control and Prevention"],"pagination":["51"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6663948"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["3(1)"],"pubmed_abstract":["<h4>Background</h4>Adult and adolescent vaccination rates are far below coverage targets in the United States. Our objective was to identify the most influential factors related to vaccine uptake among adults, adolescents, and parents of adolescents (parents) in the United States.<h4>Methods</h4>We used a fractional factorial design to create a binary choice survey to evaluate preferences for vaccination. The national survey was fielded to a sample of adults, adolescents ages 13-17 years, and parents, using a national probability-based online research panel in November 2015. Respondents were presented with 5 profiles of a hypothetical vaccine and asked in a series of questions whether they would accept each vaccine. We analyzed the binary choice data using logistic regression in STATA v13 "],"journal":["Journal of patient-reported outcomes"],"pubmed_title":["Use of a choice survey to identify adult, adolescent and parent preferences for vaccination in the United States."],"pmcid":["PMC6663948"],"funding_grant_id":["U01IP000499"],"pubmed_authors":["Kim D","Stokley S","Rose AM","Gebremariam A","Prosser LA","Ramakrishnan A","Lavelle TA","Messonnier M","Simon NE"],"additional_accession":[]},"is_claimable":false,"name":"Use of a choice survey to identify adult, adolescent and parent preferences for vaccination in the United States.","description":"<h4>Background</h4>Adult and adolescent vaccination rates are far below coverage targets in the United States. Our objective was to identify the most influential factors related to vaccine uptake among adults, adolescents, and parents of adolescents (parents) in the United States.<h4>Methods</h4>We used a fractional factorial design to create a binary choice survey to evaluate preferences for vaccination. The national survey was fielded to a sample of adults, adolescents ages 13-17 years, and parents, using a national probability-based online research panel in November 2015. Respondents were presented with 5 profiles of a hypothetical vaccine and asked in a series of questions whether they would accept each vaccine. We analyzed the binary choice data using logistic regression in STATA v13 ","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Jul","modification":"2025-04-04T13:43:09.599Z","creation":"2019-08-16T07:00:52Z"},"accession":"S-EPMC6663948","cross_references":{"pubmed":["31359289"],"doi":["10.1186/s41687-019-0135-0"]}}