{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T15:54:31Z","timestamp":1772553271466,"version":"3.50.1"},"reference-count":38,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007812","name":"University of Washington","doi-asserted-by":"publisher","award":["OAC 1761673"],"award-info":[{"award-number":["OAC 1761673"]}],"id":[{"id":"10.13039\/100007812","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Consortium of Universities for the Advancement of Hydrologic Sciences"},{"name":"National Science Foundation grants for the development of HydroShare","award":["ACI 1148453"],"award-info":[{"award-number":["ACI 1148453"]}]},{"name":"National Science Foundation grants for the development of HydroShare","award":["1148090"],"award-info":[{"award-number":["1148090"]}]},{"name":"National Center for Advancing Translational Sciences Institute for Translational Health Sciences","award":["UL1-TR002319"],"award-info":[{"award-number":["UL1-TR002319"]}]},{"name":"Clinical and Translational Sciences Award Program National Center for Data to Health","award":["U24TR002306"],"award-info":[{"award-number":["U24TR002306"]}]},{"name":"Clinical and Translational Sciences Award Program National Center for Data to Health","award":["UL1 TR002319"],"award-info":[{"award-number":["UL1 TR002319"]}]},{"name":"National Center for Advancing Translational Sciences\/National Institutes of Health"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Information gaps that accompany hurricanes and floods limit researchers\u2019 ability to determine the impact of disasters on population health. Defining key use cases for sharing complex disaster data with research communities and facilitators, and barriers to doing so are key to promoting population health research for disaster recovery.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>We conducted a mixed-methods needs assessment with 15 population health researchers using interviews and card sorting. Interviews examined researchers\u2019 information needs by soliciting barriers and facilitators in the context of their expertise and research practices. Card sorting ranked priority use cases for disaster preparedness.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Seven barriers and 6 facilitators emerged from interviews. Barriers to collaborative research included process limitations, collaboration dynamics, and perception of research importance. Barriers to data and technology adoption included data gaps, limitations in information quality, transparency issues, and difficulty to learn. Facilitators to collaborative research included collaborative engagement and human resource processes. Facilitators to data and technology adoption included situation awareness, data quality considerations, adopting community standards, and attractive to learn. Card sorting prioritized 15 use cases and identified 30 additional information needs for population health research in disaster preparedness.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Population health researchers experience barriers to collaboration and adoption of data and technology that contribute to information gaps and limit disaster preparedness. The priority use cases we identified can help address information gaps by informing the design of supportive research tools and practices for disaster preparedness. Supportive tools should include information on data collection practices, quality assurance, and education resources usable during failures in electric or telecommunications systems.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa195","type":"journal-article","created":{"date-parts":[[2020,7,31]],"date-time":"2020-07-31T19:12:52Z","timestamp":1596222772000},"page":"249-260","source":"Crossref","is-referenced-by-count":9,"title":["Information needs and priority use cases of population health researchers to improve preparedness for future hurricanes and floods"],"prefix":"10.1093","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0956-8404","authenticated-orcid":false,"given":"Jimmy","family":"Phuong","sequence":"first","affiliation":[{"name":"Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA"}]},{"given":"Christina J","family":"Bandaragoda","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, College of Engineering, University of Washington, Seattle, Washington, USA"}]},{"given":"Shefali","family":"Haldar","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2520-5526","authenticated-orcid":false,"given":"Kari A","family":"Stephens","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA"},{"name":"Department of Family Medicine, School of Medicine, University of Washington, Seattle, Washington, USA"}]},{"given":"Patricia","family":"Ordonez","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Puerto Rico Recinto de R\u00edo Piedras, San Juan, Puerto Rico, USA"}]},{"given":"Sean D","family":"Mooney","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4932-7314","authenticated-orcid":false,"given":"Andrea L","family":"Hartzler","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,11,8]]},"reference":[{"key":"2021110801095682900_ocaa195-B1","author":"Below","year":"2018"},{"issue":"19","key":"2021110801095682900_ocaa195-B2","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.1056\/NEJMp1712854","article-title":"Preparing for the next Harvey, Irma, or Maria\u2014addressing research 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