https://doi.org/10.17037/DATA.00002016
A Stata do file that contains code written to analyse longitudinal data on the quality of care delivered by family health teams participating in Brazil’s National Programme for Improving Primary Care Access and Quality (Programa Nacional de Melhoria do Acesso e da Qualidade da Atenção Básica [PMAQ]). The study analysed longitudinal data collected over three rounds of implementation: round 1 (Nov 2011 – Mar 2013), round 2 (Apr 2013 – Sep 2015) and round 3 (Oct 2015 – Dec 2019). The underlying PMAQ data are owned by the Ministry of Health in Brazil and we do not have permission to share the data publicly. However, we provide the codebook for the combined dataset.
Many governments have introduced pay for performance (P4P) programmes to incentivise health providers to improve quality of care. Evidence is limited on whether P4P reduces or exacerbates disparities in healthcare. We examined socioeconomic inequalities in the performance of family health teams under Brazil’s National Programme for Improving Primary Care Access and Quality (PMAQ). We analysed longitudinal data on the quality of care delivered by family health teams participating in PMAQ over three rounds of implementation: round 1 (Nov 2011 – Mar 2013), round 2 (Apr 2013 – Sep 2015) and round 3 (Oct 2015 – Dec 2019). The primary outcome was the proportion of the maximum performance score obtained by family health teams (the PMAQ score), based on several hundred indicators of healthcare delivery. Using census data on local area household income, we examined the PMAQ score by income ventile. We provide the analysis code and the codebook that underpinned the study. Some of the data used in the study - which capture the performance of family health teams over three rounds of PMAQ implementation - are owned by the Ministry of Health in Brazil and we do not have permission to share the data publicly.
Variable Name | Variable Label | Answer Label | Answer Code | Variable Type |
cnes | CNES code | Open ended | String | |
uf | State | Open ended | String | |
municipality | Municipality name | Open ended | String | |
ibge | Municipality id | Open ended | String | |
ine | INE (unique team id) | Open ended | String | |
area | Area code | Open ended | String | |
cod_sector | Census sector id | Open ended | String | |
pmaq_panel | Team took part in all three cycles | Open ended | Numeric | |
cycle1 | Team did cycle 1 | Open ended | Numeric | |
cycle2 | Team did cycle 2 | Open ended | Numeric | |
cycle3 | Team did cycle 3 | Open ended | Numeric | |
score_c1 | PMAQ score cycle 1 | Open ended | double | |
score_c2 | PMAQ score cycle 2 | Open ended | Numeric | |
score_c3 | PMAQ cycle 3 score | Open ended | Numeric | |
pmaq_c3_c1 | Change in PMAQ score (cycle 3 minus cycle 1) | Open ended | Numeric | |
structural_qoc_c1 | Structural quality of care index (% consum, drugs, equip, tests, vacc) in cycle 1 | Open ended | Numeric | |
structural_qoc_c2 | Structural quality of care index (% consum, drugs, equip, tests, vacc) in cycle 2 | Open ended | Numeric | |
structural_qoc_c3 | Structural quality of care index (% consum, drugs, equip, tests, vacc) in cycle 3 | Open ended | Numeric | |
structural_qoc_c3_c1 | Change in structural quality of care index (cycle 3 minus cycle 1) | Open ended | Numeric | |
type | Facility type | Numeric | ||
Health post | 1 | |||
Health centre | 2 | |||
Other | 4 | |||
staff_total | Total health staff of facility | Open ended | Numeric | |
census_pop | Total number of permanent households | Open ended | Numeric | |
pop_sector | Total population in census sector | Open ended | Numeric | |
income_hh | Monthly income per household in census sector | Open ended | Numeric | |
income_1000 | Monthly income per household in census sector in thousands R$ | |||
income_20_c | Census sector monthly income per household in 20 quantiles | Open ended | Numeric | |
prop_under5 | % of pop under 5 in census sector | Open ended | Numeric | |
prop_over50 | % over 50 in census sector | Open ended | Numeric | |
prop_over65 | % over 65 in census sector | Open ended | Numeric | |
lit_dimension | Standardized values of (literacy_rate_census) | Open ended | Numeric | |
white_dimension | Standardized values of (white_prop) | Open ended | Numeric | |
income_dimension | Standardized values of (income_hh) | Open ended | Numeric | |
index | Vulnerability index for literacy, %white, income | Open ended | Numeric | |
index_std | Standardised SES index | Open ended | Numeric | |
index_20 | Vulnerability index in 20 quantiles | Open ended | Numeric |