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Measuring baseline adherence to Choosing Wiselyrecommendations in regional oncology clinics: Challenges and strategies

Authors :
Linette Demers
Catherine R. Fedorenko
Scott D. Ramsey
Timothy Carlos
Mehrdad Jafari
Benjamin E. Greer
Julie Smith
Karma L. Kreizenbeck
Mary Gunkel
F. Marc Stewart
John Whitelaw Rieke
Ada Mohedano
Ken Berkes
Christopher Bredeson
Erin E. Hughes
Barbara Jensen
Kathryn Egan
Rose Guerrero
Source :
Journal of Clinical Oncology. 32:133-133
Publication Year :
2014
Publisher :
American Society of Clinical Oncology (ASCO), 2014.

Abstract

133 Background: ASCO launched the Choosing Wisely campaign to reduce the use of interventions lacking evidence of benefit to cancer patients, but implementation may be a challenge. This project develops a stakeholder-informed process to prioritize and implement the 2012 ASCO Choosing Wisely (CW) recommendations in oncology clinic settings. Methods: Medical directors from 6 network-affiliated oncology clinics in the Puget Sound region selected 2 CW measures for implementation: (1) No biomarkers/advanced imaging following early breast cancer treated for cure, and; (2) No colony stimulating factor use for low FN risk chemotherapy. Results: Adherence is measured with data from each clinic’s tumor registry, billing records, lab results, pathology reports, and clinic notes. Challenges to measuring baseline adherence included translating non-specific guidelines into discrete data elements (e.g. when does surveillance start?) or required measuring the absence of something, presenting quality control challenges to distinguish between adherence and missing data. Additional challenges are shown in the Table. To address these challenges, the team developed these strategies: (1) creation of specific data elements, (2) mapping clinics separately to the criteria and (3) employing methods such as Natural Language Processing to efficiently collect data from EMR. Conclusions: It is feasible to measure adherence to ASCO CW recommendations with data sources available at oncology clinics. Variability in data platforms among clinics is inherent to the current medical landscape and must be accounted for in successful implementation of cross-clinic programs. [Table: see text]

Details

ISSN :
15277755 and 0732183X
Volume :
32
Database :
OpenAIRE
Journal :
Journal of Clinical Oncology
Accession number :
edsair.doi...........d1dc8d22345a15929c99726b0f2dcba6
Full Text :
https://doi.org/10.1200/jco.2014.32.30_suppl.133