Feature ArticleNurse Leader Perceptions of Data in the Veterans Health Administration A Qualitative EvaluationWong, Janine J. MPH; SoRelle, Richard P. BS; Yang, Christine MS; Knox, Melissa K. RD, BS; Hysong, Sylvia J. PhD; Dorsey, Lynette E. DNP, RN, MBA-HCM, BSN; O'Mahen, Patrick N. PhD; Petersen, Laura A. MD, MPH Author Information Author Affiliations: Center for Innovations in Quality, Effectiveness and Safety (Mss Wong, Yang, and Knox, Mr SoRelle, and Drs Hysong, O'Mahen, and Petersen) and Patient Care Services (Dr Dorsey), Michael E. DeBakey Veterans Affairs Medical Center; and Section of Health Services Research, Department of Medicine, Baylor College of Medicine (Mss Wong, Yang, and Knox, Mr SoRelle, and Drs Hysong, O'Mahen, and Petersen), Houston, TX. ORCID: Janine J. Wong: https://orcid.org/0000-0002-4661-3668, Melissa K. Knox: https://orcid.org/0000-0002-3757-4185, Sylvia J. Hysong: https://orcid.org/0000-0002-9063-5207, Patrick O'Mahen: https://orcid.org/0000-0002-2417-6057, Laura A. Petersen: https://orcid.org/0000-0003-0875-1231 The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the US Department of Veterans Affairs, the US Government, or Veterans Health Administration academic affiliates. The research presented in this article was conducted at the Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX (COIN grant [CIN 13-413]), where Dr Petersen is the director/principal investigator. This research was funded by Veterans Health Administration Health Services Research & Development (VA HSR&D) IIR 15-438, VA HSR&D Rapid Response Project COVID C19 20-212, and VA HSR&D CIN 13-413. Outside of the support and funding for this study, one of our coinvestigators, Dr Hysong, is also funded by the Agency for Healthcare Research & Quality (AHRQ) 1 R01 HS 025982. The other authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article. CRediT Statement: J.J.W.: methodology, validation, formal analysis, investigation, resources, data curation, writing – original draft, writing – review and editing, visualization, project administration. R.P.S.: validation, formal analysis, resources, data curation, writing – original draft, writing – review and editing, visualization. C.Y.: conceptualization, methodology, investigation, resources, data curation, writing—review and editing, project administration. M.K.K.: conceptualization, methodology, resources, writing—review and editing, supervision, project administration. S.J.H.: conceptualization, methodology, writing—review and editing, supervision. L.E.D.: conceptualization, validation, writing—review and editing, supervision. P.N.O.: conceptualization, methodology, writing—review and editing. L.A.P.: conceptualization, methodology, writing—review and editing, supervision, funding acquisition. Corresponding author: Laura A. Petersen, MD, MPH, Health Services Research and Development (152), Houston Veterans Affairs Medical Center, 2002 Holcombe Blvd, Houston, TX 77030 ([email protected]). Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.cinjournal.com). CIN: Computers, Informatics, Nursing ():10.1097/CIN.0000000000001003, January 17, 2023. | DOI: 10.1097/CIN.0000000000001003 Buy SDC PAP Metrics Abstract Healthcare systems and nursing leaders aim to make evidence-based nurse staffing decisions. Understanding how nurses use and perceive available data to support safe staffing can strengthen learning healthcare systems and support evidence-based practice, particularly given emerging data availability and specific nursing challenges in data usability. However, current literature offers sparse insight into the nature of data use and challenges in the inpatient nurse staffing management context. We aimed to investigate how nurse leaders experience using data to guide their inpatient staffing management decisions in the Veterans Health Administration, the largest integrated healthcare system in the United States. We conducted semistructured interviews with 27 Veterans Health Administration nurse leaders across five management levels, using a constant comparative approach for analysis. Participants primarily reported using data for quality improvement, organizational learning, and organizational monitoring and support. Challenges included data fragmentation, unavailability and unsuitability to user need, lack of knowledge about available data, and untimely reporting. Our findings suggest that prioritizing end-user experience and needs is necessary to better govern evidence-based data tools for improving nursing care. Continuous nurse leader involvement in data governance is integral to ensuring high-quality data for end-user nurses to guide their decisions impacting patient care. Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.