From: Factors related to the waiting time for scheduling an oral biopsy in Brazil: a multilevel analysis
Variable | Category | Model 1 (Individual variables) | Model 2 (contextual variables) | Model 3 (individual and contextual variables) | Final model | |||||
---|---|---|---|---|---|---|---|---|---|---|
Adjusted OR (95%CI) | p-value | Adjusted OR (95%CI) | p-value | OR (final model) | p-value | OR (final model) | p-value | |||
CEO variables | ||||||||||
The CEO has a record of users with suspected or diagnosed oral cancer | Yes | Ref | Ref | Ref | ||||||
No | 1.37 (0.92–2.06) | 0.1227 | 1.36 (0.90–2.05) | 0.1447 | 1.37 (0.92–2.06) | 0.1227 | ||||
Sum of the weekly workload of dentists working in the minimum specialties (Stomatology) | ≤ 20 h (median) | 1.34 (0.93–1.92) | 0.1149 | 1.30 (0.90–1.87) | 0.1599 | 1.34 (0.93–1.92) | 0.1149 | |||
> 20 h | Ref | Ref | Ref | |||||||
Not applicable | - | - | - | |||||||
The CEO professionals carry out training with primary care professionals for the detection of oral cancer | Yes | Ref | Ref | Ref | ||||||
No | 1.31 (0.94–1.81) | 0.1054 | 1.32 (0.95–1.83) | 0.0948 | 1.31 (0.94–1.81) | 0.1054 | ||||
This CEO has a municipal scope only (it is a reference only for this municipality) | Yes | 1.46 (1.05–2.03) | 0.0229 | 1.46 (1.04–2.04) | 0.0287 | 1.46 (1.05–2.03) | 0.0229 | |||
No | Ref | Ref | Ref | |||||||
Municipality variables | ||||||||||
Oral health coverage | ≤ 64.39% (median) | - | - | Ref | Ref | - | - | |||
> 64.39% | 1.21 (0.89–1.66) | 0.2211 | 1.29 (0.90–1.85) | 0.1687 | - | - | ||||
Social Prosperity | Very high | - | - | Ref | Ref | |||||
High | 1.07 (0.68–1.68) | 0.7717 | 1.03 (0.61–1.75) | 0.9088 | - | - | ||||
Median | 1.06 (0.69–1.63) | 0.7878 | 1.07 (0.66–1.73) | 0.7923 | - | - | ||||
Low | 0.83 (0.53–1.30) | 0.4148 | 0.74 (0.44–1.27) | 0.2785 | - | - | ||||
Very low | 1.29 (0.81–2.05) | 0.2842 | 1.32 (0.73–2.39) | 0.3510 | - | - | ||||
QICc (Quasi-likelihood information criterion) | 943.22 | 1.253.38 | 947.36 | 943.22 |