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Chart 1 Variables (outcome and independent) used in the study

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

 
  1. Data source * National Program to Improve Access and Quality of Dental Specialty Centers (PMAQ-CEO)
  2. # Health Information System for Primary Care (SISAB, Sistema de Informação em Saúde para a Atenção Básica)
  3. &Instituto de Pesquisa Econômica Aplicada (IPEA) [23]