{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T17:29:31Z","timestamp":1775582971089,"version":"3.50.1"},"reference-count":74,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2016,11,7]],"date-time":"2016-11-07T00:00:00Z","timestamp":1478476800000},"content-version":"vor","delay-in-days":466,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Objective We compare 5 health informatics research projects that applied community-based participatory research (CBPR) approaches with the goal of extending existing CBPR principles to address issues specific to health informatics research.<\/jats:p><jats:p>Materials and methods We conducted a cross-case analysis of 5 diverse case studies with 1 common element: integration of CBPR approaches into health informatics research. After reviewing publications and other case-related materials, all coauthors engaged in collaborative discussions focused on CBPR. Researchers mapped each case to an existing CBPR framework, examined each case individually for success factors and barriers, and identified common patterns across cases.<\/jats:p><jats:p>Results Benefits of applying CBPR approaches to health informatics research across the cases included the following: developing more relevant research with wider impact, greater engagement with diverse populations, improved internal validity, more rapid translation of research into action, and the development of people. Challenges of applying CBPR to health informatics research included requirements to develop strong, sustainable academic-community partnerships and mismatches related to cultural and temporal factors. Several technology-related challenges, including needs to define ownership of technology outputs and to build technical capacity with community partners, also emerged from our analysis. Finally, we created several principles that extended an existing CBPR framework to specifically address health informatics research requirements.<\/jats:p><jats:p>Conclusions Our cross-case analysis yielded valuable insights regarding CBPR implementation in health informatics research and identified valuable lessons useful for future CBPR-based research. The benefits of applying CBPR approaches can be significant, particularly in engaging populations that are typically underserved by health care and in designing patient-facing technology.<\/jats:p>","DOI":"10.1093\/jamia\/ocv094","type":"journal-article","created":{"date-parts":[[2015,7,31]],"date-time":"2015-07-31T01:31:17Z","timestamp":1438306277000},"page":"60-73","source":"Crossref","is-referenced-by-count":165,"title":["Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations"],"prefix":"10.1093","volume":"23","author":[{"given":"Kim M","family":"Unertl","sequence":"first","affiliation":[{"name":"Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA"}]},{"given":"Chris L","family":"Schaefbauer","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Colorado Boulder, Boulder, Colorado, USA"}]},{"given":"Terrance R","family":"Campbell","sequence":"additional","affiliation":[{"name":"YOUR Center, Flint, Michigan, USA"}]},{"given":"Charles","family":"Senteio","sequence":"additional","affiliation":[{"name":"School of Information, University of Michigan, Ann Arbor, Michigan, USA"}]},{"given":"Katie A","family":"Siek","sequence":"additional","affiliation":[{"name":"Informatics Division, Indiana University Bloomington, Bloomington, Indiana, USA"}]},{"given":"Suzanne","family":"Bakken","sequence":"additional","affiliation":[{"name":"School of Nursing and Department of Biomedical Informatics, Columbia University, New York, New York, USA"}]},{"given":"Tiffany C","family":"Veinot","sequence":"additional","affiliation":[{"name":"School of Information and School of Public Health, University of Michigan, Ann Arbor, Michigan, USA"}]}],"member":"286","published-online":{"date-parts":[[2015,7,30]]},"reference":[{"key":"2020110613012134000_ocv094-B1","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1007\/978-1-4471-4474-8_17","article-title":"Consumer health informatics and personal health records","volume-title":"Biomedical Informatics","author":"Johnson","year":"2014"},{"key":"2020110613012134000_ocv094-B2","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1177\/1460458213476969","article-title":"Empowering patients through social media: the benefits and challenges","volume":"20","author":"Househ","year":"2014","journal-title":"Health Inform J."},{"key":"2020110613012134000_ocv094-B3","first-page":"195","article-title":"Social media and patient health outcomes: findings from the yearbook 2014 section on consumer health informatics","volume":"9","author":"Staccini","year":"2014","journal-title":"Yearb Med Inform."},{"key":"2020110613012134000_ocv094-B4","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.ijmedinf.2014.01.009","article-title":"Does the use of consumer health information technology improve outcomes in the patient self-management of diabetes? 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