Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram

• DOI: 10.2147/ppa.s159293
• Publication Date: 2018-09-09T20:15:12Z
• Authors: Huijing Wang; Le Zhang; Zhe Liu; Xiaodong Wang; Shikai Geng; Jiaoyu Li; Ting Li; Shuang Ye
• Keywords: Nomogram

The aim of this study was to develop and internally validate a medication nonadherence risk nomogram in Chinese population patients with inflammatory rheumatic diseases.We developed prediction model based on training dataset 244 IRD patients, data were collected from March 2016 May 2016. Adherence evaluated using 19-item Compliance Questionnaire Rheumatology. least absolute shrinkage selection operator regression used optimize feature for the model. Multivariable logistic analysis applied build predicting incorporating selected Discrimination, calibration, clinical usefulness assessed C-index, calibration plot, decision curve analysis. Internal validation bootstrapping validation.Predictors contained included use glucocorticoid (GC), nonsteroidal anti-inflammatory drugs, number medicine-related questions, education level, distance hospital. displayed good discrimination C-index 0.857 (95% confidence interval: 0.807-0.907) calibration. High value 0.847 could still be reached interval validation. Decision showed that clinically useful when intervention decided at possibility threshold 14%.This novel GC, hospital conveniently facilitate individual patients.