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Table 4 Effect of variables on changing Conitec’s recommendation between 2012 and 2021

From: Does patient and public involvement impact public health decision-making? A 10 year retrospective analysis of public consultation in Brazil

Variable

OR

95% Confidence interval

p-Value

Intercept

0.21

0.03–1.08

0.08

Type of technology: medicines

0.70

0.29–1.76

0.43

Demander

   

 Government

0.39

0.09–2.14

0.24

 Private sector

0.69

0.17–3.61

0.63

 Social

0.44

0.04–3.64

0.45

Indication

   

 Neoplasms

0.81

0.28–2.08

0.67

 Infectious and parasitic diseases

0.45

0.07–1.71

0.31

 Endocrine, nutritional and metabolic diseases

0.94

0.36–2.29

0.90

 Diseases of the musculoskeletal system and connective tissue

0.84

0.26–2.28

0.74

Number of contributions in public consultation

   

 Large volume of contributions: total of participants

1.22

0.33–3.84

0.75

 Large volume of contributions: patients

3.87

1.33–13.35

0.02

 Large volume of contributions: public health institutions and professionals

1.07

0.44–2.70

0.87

 Large volume of contributions: other participants

0.97

0.40–2.30

0.94

 Number of contributions: private sector

1.03

0.97–1.07

0.25

 Number of contributions: public health managers

0.91

0.77–1.03

0.19

  1. Bold values highlight the results in which the variable showed a statistically significant association with the outcome under analysis
  2. Large volume of contributions refers to the group of public consultations that received a number of contributions equal to or greater than 100 for each specified stakeholder. For private sector and public health managers, there was no public consultation with 100 contributions or greater, and the values were included in the model as a continuous variable