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Table 3 Most probable models explaining discordance with Bayesian Information Criterion (n = 259)

From: Higher psychological distress in patients seeking care for a knee disorder is associated with diagnostic discordance between health care providers: a secondary analysis of a diagnostic concordance study

 

Variables

k6 Depression

MRI

Comorbidities

Progressive symptoms

KOOS_Symptoms

First consultation

probne0

99.4%

44.5%

42.6%

33.4%

30.5%

27.4%

Rank

Model probability

Model description

OR (95% CrI)

OR (95% CrI)

OR (95% CrI)

OR (95% CrI)

OR (95% CrI)

OR (95% CrI)

1

11.13%

Comorbidites, k6 Depression

3.9 (1.9–8.0)

 

0.6 (0.5–0.9)

   

2

7.60%

MRI, first consultation, k6 Depression

3.9 (1.9–8.2)

2.4 (1.3–4.3)

   

2.3 (1.2–4.5)

3

6.88%

MRI, k6 Depression

3.8 (1.8–7.8)

2.2 (1.2–4.0)

    

4

6.86%

Progressive symptoms, k6 Depression

3.2 (1.6–6.5)

  

0.5 (0.3–0.8)

  

5

6.53%

MRI, Comorbidites, k6 Depression

4.3 (2.1–9.1)

1.9 (1.0–3.5)

0.7 (0.5–1.0)

   
  1. Model probability Probability that the model explain diagnostic discordance, probne0 Probability that the variable is included a model explaining diagnostic discordance, OR Odd ratio of the variable explaining diagnostic discordance in the model, 95% CrI 95% Credibility Interval, k6 Depression Having self-reported depressive symptoms on the depression item of the k6 (Yes or No), MRI result Having an MRI result and an X-Ray at the time of the consultation compared to only X-ray, KOOS_Symptoms Knee Injury and Osteoarthritis Outcome Score Symptom Scale, First consultation First consultation for knee pain or disorder