Changes in Frequency of Surveillance Imaging of Survivors of Diffuse Large B-Cell Lymphoma After the American Society of Hematology Choosing Wisely Recommendations.
Urshila DuraniDennis AsanteHerbert C HeienCarrie A ThompsonThorvardur R HalfdanarsonLindsey SangaralinghamPrema PeethambaramFernando J QuevedoJose C Villasboas BisnetoRonald S GoPublished in: JCO oncology practice (2020)
In 2013, the American Society of Hematology (ASH) published recommendations with Choosing Wisely to limit surveillance imaging in aggressive lymphoma. We studied surveillance imaging practice patterns for diffuse large B-cell lymphoma (DLBCL) before and after the ASH Choosing Wisely campaign. We used OptumLabs Data Warehouse, a national insurance claims database, to retrospectively study imaging frequency in survivors of DLBCL from 2008 to 2016. Three time periods were defined: Period 1 (2008 to 2010), Period 2 (2011 to 2013), and Period 3 (2014 to 2016). One thousand four hundred seventy-two patients were included. Median follow up was approximately 2 years. During the first and second years of surveillance, imaging remained stable between Period 1 (years 1 and 2: 199 [91%] and 137 [83%], respectively) and Period 2 (years 1 and 2: 257 [88%] and 172 [77%], respectively; P = .38), but decreased in Period 3 (years 1 and 2: 315 [78%] and 83 [61%], respectively; P < .01). In a multivariable logistic regression, year after 2012 was a significant predictor of decreased overuse (more than two scans per year in the first year of surveillance; [odds ratio, 0.49 for 2013 v 2008; P = .02]). Our study demonstrated the rate of surveillance scans-both computed tomography and positron emission tomography imaging-in DLBCL decreased after the ASH Choosing Wisely campaign. Multiple factors, such as changes in recommendations, reimbursement, and provider knowledge base, may have all contributed and should be studied further.
Keyphrases
- diffuse large b cell lymphoma
- computed tomography
- high resolution
- positron emission tomography
- public health
- epstein barr virus
- healthcare
- magnetic resonance imaging
- young adults
- primary care
- machine learning
- ejection fraction
- systematic review
- photodynamic therapy
- mass spectrometry
- health insurance
- newly diagnosed
- quality improvement
- pet ct
- artificial intelligence
- big data
- affordable care act