Inequalities in Technical Brazilian Health Workforce August/2009 Alexandra Almeida Mônica Vieira Arlinda Moreno Márcio Candeias.

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Presentation transcript:

Inequalities in Technical Brazilian Health Workforce August/2009 Alexandra Almeida Mônica Vieira Arlinda Moreno Márcio Candeias

2 Outline 1. Who We Are 2. The Research Project 3. Data Base 4. The Health Sector 5. Some Brazilian Health Workforce Idiosyncrasies 6. The Problem 7. The Objective of this Study 8. A Statistical Help 9. Reading the Model 10. Results and Conclusions 11. Further Work

3 Who We Are Brazilian Ministry of Health Oswaldo Cruz Foundation Polytechnic Health School Joaquim Venâncio Work Laboratory and Health Care Professional Education Brazilian Health Technicians Observatory GOAL: Produce and share knowledge about the technical Brazilian workers aiming the health workforce development.

4 The Research Project Works in the construction of occupational categories that represents the general Brazilian Health sector; identication of the technical workforce analysing the qualification, trends, and the characteristics of these workers. However... How can we infer about the technicians workers in Brazilian Health Sector?

5 The Research Project ‒ The first (and macro) approach to study this workers was done considering the AMS (Medical-Sanitary Assistance) Survey produced by IBGE (Brazilian Institute of Geography and Statistics). Investigates all the health institutions existing in the country which provide individual or collective health assistance services.

6 The Research Project ‒ The AMS exploratory analyses brings some interesting information: The high school jobs are concentrated in Brazil southeast region, The elementary jobs are concentrated in Brazil northeast region. A natural extension is studying the health workers, instead of establishments.

7 Data Base PNAD: National Household Sample Survey Produced by IBGE (Brazilian Institute of Geography and Statistics). Represents a valuable instrument to the evaluation of the socio-economic and demographic reality in the country. Brings general attributes (self-declared) of the Brazilian population like Occupation Schooling Labor details …

8 The Health Sector Brazilian Health Occupations Administrative Medical/Hospital Equipment SupportSpecific HealthOther

9 Some Brazilian Health Workforce Idiosyncrasies

10 Some Brazilian Health Workforce Idiosyncrasies

11 The Problem ‒ The variable occupation was constructed based in the Brazilian Occupations Classification (CBO), a Brazilian adaptation to the International Standard Classification of Occupations (ISCO). ‒ Some PNAD occupations in health: Nurses professionals Nursing technicians Chemist Chemical Technicians Biologist and related (???)

12 The Objective of this Study Identify the technicians health workers 1. Groupping occupations by similarities 2. Selecting pairs of occupations where the tecnicians and professionals are not fuzzy. 3. Modelling (statistically) the characteristics that delimits the workers as technicians and professionals.

13 A Statistical Help ‒ We constructed occupations clusters for the “Especific Health Occupation” group, and select the pairs: Chemist and related technicians Pharmaceutic and related technicians Nursing and related technicians Phisiotherapy and related technicians Odontologist and related technicians

14 A Statistical Help Pairs’ Descriptive Statistics Professionals Technicians Gender Male % % Female % % Schooling Elementary School % % High School % % Graduate % % Master or Doctor % 1 3.4% Job Sector Private % % Public % % Less than 14 hours % % 15 to 39 hours % % 40 to 44 hours % % 45 to 48 hours % % Worked Hours Per Week 49 hours or more % %

15 A Statistical Help ‒ In order to model/predict the relationship between workers characteristics to their actual worker position we use the bernoulli model, ‒ The bernoulli probability function is expressed as: where π is the probability of success, y corresponds to success or failure.

16 A Statistical Help ‒ The logit function was chosen by the AIC and BIC criteria. ‒ The variables age, gender and worked hours per week were not statistically significant, and do not belong to the final model. In gray, the basal category

17 A Statistical Help Goodness-of-Fit Hosmer and Lemeshow Test Where: n i is the number of observations in the i th group O i is the observed number of cases in the i th group E i is the expected number of cases in the i th group P-value: 31.78%

18 A Statistical Help Residual Analysis

19 A Statistical Help ‒ In order to evaluate the predictive power, we calculate the confusion matrix, and: Total rate of correct classification: 88.3% Percentage of professionals well classified: 93.1% Proportion of technicians well classified is 86.8%.

20 Reading the Model Scholling ‒ Workers with high school as higher level have 6 times more chances to be technicians than those who have just the elementary school ‒ The graduated workers have 13 times more chances to be a professional ‒ Master/doctor workers are 75 times more likely to be professionals than those with elementary school. Job Sector ‒ The workers in public institutions have approximately 2 times more chances to occupy a technical position.

21 Results and Conclusions ‒ Imbalances: 14% of the workers in technicians occupation are graduated or have a master/doctor; 66% of the workers in technicians occupations work more than 40 hours per week; ‒ Study Benefits: A right work insertion based on the schooling has a larger impact in public health sector. The multiple work links dimishes the income impact (estimated coefficient: ); The model allow us to identify the technicians with graduation, master/doctor Estimating the Brazilian health technical workforce amount.

22 Further Work ‒ Extend the cluster analysis to the others 4 health occupation groups (managers, medical/hospital equipment, support and others), ‒ Sophisticate the model to cover all health occupations groups. ‒ Explore all the available years of the survey, understanding the trend of the qualification and work insertion of this workforce.

Inequalities in Technical Brazilian Health Workforce ISI, August/2009 Alexandra Almeida Mônica Vieira Arlinda Moreno Márcio Candeias Thanks!!! Polytechnic Health School Joaquim Venâncio: International Network of Health Technicians Eucation: