Fig. 2
From: Data quality predicts care quality: findings from a national clinical audit
Mixed effects modelling of missing baseline DAS-28 data as a predictor of prompt treatment commencement. Model 1 (N = 6205) is unadjusted. Model 2 (N = 2979) is adjusted for patient covariates: age, gender, work status, socioeconomic position, smoking status, ethnicity, symptom duration, rheumatoid, and anti-CCP antibody status. Model 3 (N = 2943) is adjusted for patient covariates and the following departmental characteristics: specialist nurse and consultant staffing levels per head of catchment population, presence or absence of a dedicated EIA clinic, and departmental proportions of missing DAS28 data. Department was included as a random intercept in all three models