From: Factors related to the waiting time for scheduling an oral biopsy in Brazil: a multilevel analysis
Variable | Definition | |
---|---|---|
Outcome | ||
Waiting time for scheduling a biopsy, starting from the identification of the need for the exam* | Up to one day | |
More than one day up to 60 days | ||
Block IV individual independent variables (related to the CEO): stomatology organization | ||
It has a reference where the anatomohistopathological exam will be sent * | Yes | |
No | ||
There is a record of users with suspected/diagnosed oral cancer* | Yes | |
No | ||
It has a reference where the confirmed cases of oral cancer will be sent * | Yes | |
No | ||
Sum of the weekly workload of dentists working in Stomatology * | Number | |
Block III individual independent variables (related to the CEO): CEO work process | ||
Action planning and regular evaluations* | Yes | |
No | ||
Training with PHC professionals for the detection of oral cancer* | Yes | |
No | ||
Predefined quotas by PHC eSB for referral to Stomatology * | Yes | |
No | ||
Does not have this specialty | ||
Clinical protocols for referral of patients from PHC to the CEO to Stomatology * | Yes | |
No | ||
Does not have this specialty | ||
Scope of the CEO only for this municipality * | Yes | |
No | ||
This CEO is a reference for how many eSB of PHC * | Number | |
Block II contextual independent variables (related to the municipalities): municipal organization of oral health | ||
Oral health coverage # | Variable that represents the proportion of the population covered by oral health at the PHC level, calculated using the formula: (n. of eSFSB * 3450) + (n. of eASB param + n. of equivalent eSFSB)*3000 *100 Population estimate For the analysis, this variable was dichotomized: ≤ 64.39% (median) > 64.39% | |
Block I contextual independent variables (related to the municipalities): municipal indicators | ||
Social Prosperity & | It represents the simultaneous occurrence of high human development with low social vulnerability. It is divided into the following categories: Very High, High, Medium, Low and Very Low. | |
Gini index& | A value equal to zero represents the situation of total equality, that is, everyone has the same income. For the analysis, this variable was dichotomized: ≤ 0.52 (median) > 0.52 |