Development and validation of a claims-based approach to proxy ECOG performance status across ten tumor groups. (14th March 2018)

• Record Type: Journal Article
• Authors: Sheffield, Kristin M; Bowman, Lee; Smith, David M; Li, Li; Hess, Lisa M; Montejano, Leslie B; Willson, Tina M; Davidoff, Amy J
• Is Part Of: Journal of comparative effectiveness research. Volume 7:Number 3(2018)
• Page Start: 193
• Page End: 208
• Publication Date: 2018-03-14
• Subjects: cancer -- claims data -- performance status -- validation; Medical care -- Research -- Periodicals; Medical care -- Research -- Evaluation -- Periodicals; Medical care -- Decision making -- Periodicals; Evidence-based medicine -- Periodicals; Medicine, Comparative -- Periodicals; 362.1072
• DOI: 10.2217/cer-2017-0040
• Languages: English
• ISSNs: 2042-6305

Abstract

Aim: To develop a claims-based prediction model of poor performance status (PS) in commercially insured and Medicare supplemental beneficiaries with cancer.Patients & methods: Retrospective analysis was conducted of electronic medical records (EMR) from community oncology practices linked to MarketScan claims. Multivariable logistic regression predicted PS scores from the EMR using claims-based diagnostic and procedure codes.Results: The study included 8442 patients diagnosed with cancer from 2007 to 2015. Overall, 8.1% of patients had poor EMR-based PS. Bootstrapping results from the final model showed sensitivity and specificity of approximately 75% with a predicted probability cutpoint = 0.078, c-statistic = 0.821 and pseudo-R 2 = 0.25.Conclusion: Patients with poor PS can be identified in claims data. This prediction model enables future studies evaluating cancer treatments and outcomes to account for PS.