This document discusses using the Social Vulnerability Index (SVI) to analyze the population served by Family Health Teams in Brazil. It analyzed data from 50 Family Health Teams in Uberaba, Brazil serving 156,720 people. The results showed most families had low or no social risk, while rural areas faced medium risk. Education level and indirect income indicators like health insurance and car ownership were the most influential factors on social vulnerability. The SVI can help identify at-risk groups and target resources to improve health equity.

1. Utilization of the Social Vulnerability
Index for Family Health Teams’
analysis Brazil
Fabiana Brito Silva MPH

2. ACKNOWLEDGEMENTS
UNIVERSIDADE FEDERAL DO TRIÂNGULO MINEIRO (UFTM), BRAZIL
Dr. Sybelle Souza Castro Miranzi
ENGENHARIA DO CUIDADO, GEOTECH LTDA, BRAZIL.
Dr. Paulo Fleury
Dr. Rubens Pereira
VIRGINIA TECH COLLEGE OF AGRICULTURE AND LIFE SCIENCES, DEPARTMENT OF HUMAN NUTRITION, FOODS
AND EXERCISE (HNFE)
FRALIN CENTER FOR TRANSLATIONAL OBESITY RESEARCH
INTERDISCIPLINARY GRADUATE EDUCATION PROGRAM
Dr. Paul Estabrooks
Dr. Fabio Almeida

3. BRAZILIAN HEALTH CARE SYSTEM
 Sistema Único de Saúde (SUS) – “United Health
System”
 Principles:
 Universality
 Equity
 Integrality
 Regionalized – Federal , State and City
 National database

4. FAMILY HEALTH STRATEGY
 Community Health Agent
 Physician
 Registered Nurse
 Nurse Practitioner
 Major Primary Health Care policy
 Population Health Management
 Territory
 Primary Care Information System (SIAB)
 Multidisciplinary Teams:

5. Variables Criteria Weight
1. Illiteracy among older than 15 and younger than 65 years
none 0
0,1 ~ 25% 2
26 ~ 50% 3
51 ~ 75% 4
76 ~100% 5
2. Children / adolescents 7-14 years out of school
none 0
0,1 ~ 25% 2
26 ~ 50% 3
51 ~ 75% 4
76 ~ 100% 5
3. Availability of electricity
Yes 0
No 3
4. Availability of treated water
Yes 0
No 4
5. Availability of sewage - pipeline
Yes 0
No 3
6. Availability of public garbage collection
Yes 0
No 3
7. Relative number of people / rooms
< 2 0
2 ~ 2,4 2
2,5 and up 4
8. Alcoholism in the family
No 0
Yes 4
9. Occurrence of violent deaths among teens
No 0
Yes 4
10. Belonging to a community group
Yes -1
No 0
11. Indirect indicators of income: Health Insurance Plan
Yes -3
No 0
12. Indirect indicators of income: Transportation by Car
none 0
0,1 ~ 25% -0.6
26 ~ 50% -1.2
51 ~ 75% -2.4
76 ~ 100% -3
SOCIAL VULNERABILITY INDEX - COMPONENTS

6. SOCIAL VULNERABILITY INDEX
SVI = ( ∑ of the weight in the twelve components + 7)
41
Score Classification Alert
0,00 a > 0,05 No Risk Blue
0,05 a > 0,25 Low Risk Green
0,25 a > 0,50 Medium Risk Yellow
0,50 a > 0,75 High Risk Orange
0,75 - 1,0 Very high risk Red

7. RESEARCH
 City of Uberaba : 300,000 habitants
50 Family Health Teams
 Population: 156,720 registered
 Total families : 44,341 registered
 Individuals per FHS team: 3,134 (average )
 Primary Care Information System (SIAB)

8. RESULTS
No Risk Low Risk Medium Risk High Risk Very High Risk
TOTAL OF FAMILIES PER SVI ALERT LEVEL – UBERABA, BRAZIL.

9. DISTRIBUTION OF REGRESSION COEFFICIENTS OF THE INDICATORS
Coeficientsa
Model Beta t
%
Variance
1. Illiteracy among older than 15 and younger than 65 years
0.35*** 2390.68 12%
2. Children / adolescents 7-14 years out of school
0,28*** 1891.11 8%
3. Availability of electricity 0.12*** 820,89 1%
4. Availability of treated water 0,30*** 1403.53 4%
5. Availability of sewage - pipeline 0.05*** 330,34 0%
6. Availability of public garbage collection 0,17*** 795.96 1%
7. Relative number of people / rooms 0.10*** 667,62 1%
8. Alcoholism in the family 0,14*** 957.48 2%
9. Occurrence of violent deaths among teens 0.14*** 959,98 2%
10. Belonging to a community group 0,12*** 824.18 1%
11. Indirect indicators of income: Health Insurance Plan 0.44*** 2960,78 18%
12. Indirect indicators of income: Transportation by Car
0.36*** 2419,89 12%

10. CONCLUSIONS
 Low social risk
 Medium Risk - rural
 Education - major negative influence
 Indirect indicators of income - protective
factors
Others directions:

11. COMMENTS, QUESTIONS?
Contact:
fabiana@vt.edu