TY - JOUR
T1 - Sustaining quality improvement during data lag
T2 - A qualitative study in a perioperative setting
AU - Gorbenko, Ksenia O.
AU - Brooks, Joanna Veazey
AU - Van De Ruit, Catherine
AU - Ju, Mila H.
AU - Hobson, Deborah B.
AU - Holzmueller, Christine G.
AU - Pronovost, Peter J.
AU - Ko, Clifford Y.
AU - Bosk, Charles L.
AU - Wick, Elizabeth C.
N1 - Funding Information:
The authors thank the American College of Surgeons for support of design and conduct of the study, as well as financial support for transcription of interviews. We thank Mary Dixon-Woods, Ph.D. and anonymous reviewers who provided invaluable feedback on an earlier version of this manuscript. The views expressed are solely those of the authors and do not reflect the official positions of the institutions or organizations with which they are affiliated. Stipend for MHJ is partially supported by National Institutes of Health Grant #5T32HL094293 . Additional funding from the Robert Wood Johnson Foundation supported JVB during the writing of this manuscript. Last but not least, the authors are grateful to the ACS NSQIP pilot participants for sharing their experiences of implementing the project with four sociologists.
Publisher Copyright:
© 2015 Elsevier Inc. All rights reserved.
PY - 2015/12
Y1 - 2015/12
N2 - Perioperative quality improvement (QI) teams face challenges in their work to improve surgical outcomes. One challenge is maintaining engagement in a project until a meaningful trend in targeted outcomes is evident. Our study aimed to identify management strategies that engaged staff in a QI project with a substantial time lag between project implementation and feedback of data. In an American College of Surgeons collaborative, we interviewed clinical leaders from six self-selected community and teaching hospitals and observed four workshops and monthly conference calls over a two-year period (2012-2014). Thematic coding identified three management strategies to give feedback to teams: (1) experiencing "small wins" to demonstrate feasibility; (2) creating new communication pathways to remove obstacles; (3) small group mentorship by an experienced training team that had already achieved improvements in surgical outcomes. Using a combination of strategies, five out of six teams implemented small projects during the lag period, before outcome data was available. Our results caution against using measureable outcomes as the only sign of success - in fact, many small signs can be seen before the data lag is over. When data lags are likely, observable incremental steps and support of an experienced team can help build relationships across the organization that will help keep providers in the project.
AB - Perioperative quality improvement (QI) teams face challenges in their work to improve surgical outcomes. One challenge is maintaining engagement in a project until a meaningful trend in targeted outcomes is evident. Our study aimed to identify management strategies that engaged staff in a QI project with a substantial time lag between project implementation and feedback of data. In an American College of Surgeons collaborative, we interviewed clinical leaders from six self-selected community and teaching hospitals and observed four workshops and monthly conference calls over a two-year period (2012-2014). Thematic coding identified three management strategies to give feedback to teams: (1) experiencing "small wins" to demonstrate feasibility; (2) creating new communication pathways to remove obstacles; (3) small group mentorship by an experienced training team that had already achieved improvements in surgical outcomes. Using a combination of strategies, five out of six teams implemented small projects during the lag period, before outcome data was available. Our results caution against using measureable outcomes as the only sign of success - in fact, many small signs can be seen before the data lag is over. When data lags are likely, observable incremental steps and support of an experienced team can help build relationships across the organization that will help keep providers in the project.
KW - Implementation science
KW - Interdisciplinary teams
KW - Perioperative quality improvement
KW - Qualitative health services research
KW - Quality improvement
KW - Staff engagement
UR - http://www.scopus.com/inward/record.url?scp=84957793921&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84957793921&partnerID=8YFLogxK
U2 - 10.1016/j.pcorm.2015.10.001
DO - 10.1016/j.pcorm.2015.10.001
M3 - Article
AN - SCOPUS:84957793921
SN - 2405-6030
VL - 1
SP - 2
EP - 8
JO - Perioperative Care and Operating Room Management
JF - Perioperative Care and Operating Room Management
IS - 1-2
ER -