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Table 2 Multivariable logistic regression of the association between clinician caseload and treatment outcome

From: Towards better guidance on caseload thresholds to promote positive tuberculosis treatment outcomes: a cohort study

Main exposure/confounders Multivariable regressiona
OR (95 % CI)
Clinician caseloadb
  10+ P = 0.002
  <10 1.14 (1.05–1.25)
Notification date
  Post-toolkit P <0.001
  Pre-toolkit 1.33 (1.23–1.45)
Location
  Outside London P <0.001
  Inside London 0.82 (0.74–0.91)
Sex
  Male P <0.001
  Female 0.85 (0.80–0.91)
Age, years
  <20 0.72 (0.63–0.82)
  20–39 P <0.001
  40–64 0.88 (0.81–0.95)
  65+ 1.30 (1.18–1.44)
Ethnic group
  White P <0.001
  Black African 0.79 (0.71–0.88)
  Black other 0.88 (0.72–1.07)
  Indian subcontinent 0.86 (0.79–0.94)
  Other 0.86 (0.76–0.97)
Previous diagnosis
  No P <0.001
  Yes 1.26 (1.12–1.42)
Social risk factorsc
  No or unknown P <0.001
  One or more previous 1.44 (1.16–1.77)
  One or more current 2.56 (2.14–3.07)
Shared management
  No P = 0.08
  Yes 1.37 (0.97–1.94)
  1. Multivariable random effects logistic regression of the association between clinician caseload and treatment outcome, England, 2006–2012. Model adjusted for clustering by clinician and the confounders in the Table; 34,707 records in this model
  2. aOdds of an unfavourable versus a good or neutral treatment outcome
  3. bMean caseload per clinician over the preceding 3 years
  4. cSocial risk factors a composite variable of homelessness, imprisonment, drug misuse, and alcohol abuse; current risks override previous risks
  5. CI Confidence interval, OR Cluster-specific odds ratio, P, P value