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Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA
  1. Lauren S Penney1,2,
  2. Luci K Leykum1,2,3,
  3. Polly Noël4,
  4. Erin P Finley1,2,5,
  5. Holly Jordan Lanham1,3,4,
  6. Jacqueline Pugh1,2
  1. 1 Research Service, South Texas Veterans Health Care System, San Antonio, Texas, USA
  2. 2 Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
  3. 3 Department of Information, Risk and Operations Management, McCombs School of Business, University of Texas, Austin, Texas, USA
  4. 4 Department of Family and Community Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
  5. 5 Department of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
  1. Correspondence to Dr Lauren S Penney; Lauren.Penney{at}va.gov

Abstract

Introduction Effective delivery of healthcare in complex systems requires managing interdependencies between professions and organisational units. Reducing 30-day hospital readmissions may be one of the most complex tasks that a healthcare system can undertake. We propose that these less than optimal outcomes are related to difficulties managing the complex interdependencies among organisational units and to a lack of effective sensemaking among individuals and organisational units regarding how best to coordinate patient needs.

Methods and analysis This is a mixed method, multistepped study. We will conduct in-depth qualitative organisational case studies in 10 Veterans Health Administration facilities (6 with improving and 4 with worsening readmission rates), focusing on relationships, sensemaking and improvisation around care transition processes intended to reduce early readmissions. Data will be gathered through multiple methods (eg, chart reviews, surveys, interviews, observations) and analysed using analytic memos, qualitative coding and statistical analyses. We will construct an agent-based model based on those results to explore the influence of sensemaking and specific care transition processes on early readmissions.

Ethics and dissemination Ethical approval has been obtained through the Institutional Review Board of the University of Texas Health Science Center at San Antonio (approval number: 14–258 hour). We will disseminate our findings in manuscripts in peer-reviewed journals, professional conferences and through short reports back to participating entities and stakeholders.

  • transitions of care
  • hospital readmissions
  • sensemaking
  • complexity science
  • veterans

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Footnotes

  • Contributors JP, LKL, HJL, PN and EPF provided conceptual and methodological expertise to the design of the study protocol. JP and LSP were major contributors to writing the manuscript. All authors read, edited and approved the final manuscript.

  • Funding This work was supported by Investigator Initiated Research (IIR) Award #13-040 from the US Department of Veterans Affairs Health Services Research and Development Service.

  • Competing interests None declared.

  • Patient consent Not required.

  • Ethics approval Institutional Review Board (IRB) of the University of Texas Health Science Center at San Antonio.

  • Provenance and peer review Not commissioned; externally peer reviewed.