Year of MPP | Tot financial costs of MPP | Estimated reduction in number of ambulatory admissions | Estimated reduction in number of ambulatory admissions | Estimated reduction in costs of ambulatory admissions | Estimated reduction in costs of ambulatory admissions | Total benefits in term of cost reduction of ambulatory admissions |
(BRL, Million) | (coefficient for average mun, over 1000 people) | (absolute level for all TREATED mun, in 1000) | (coefficient for average mun, over 1000 people) | (absolute level for all TREATED mun, in million BRL) | (% of total financial costs of MDP) | |
Panel A: estimates from DiD | (1) | (2) | (3) | (4) | (5) | (6) |
2014 | 1456.9 | −0.366 | −63.67 | −455.002 | −79.16 | −5.43% |
2015 | 1504.5 | −0.26 | −45.23 | −400.747 | −69.72 | −4.63% |
2016 | 1469.2 | −0.396 | −68.89 | −478.213 | −83.19 | −5.66% |
2017 | 1268.1 | −0.585 | −101.77 | −617.931 | −107.50 | −8.48% |
Mean | 1424.7 | −0.491 | −85.42 | −483.909 | −84.18 | −5.91% |
Total (2014–2017) | 5698.7 | −24.21% | ||||
Panel B: estimates from DiD +PSM | (1) | (2) | (3) | (4) | (5) | (6) |
2014 | 1456.9 | −0.37 | −24.84 | −415.823 | −27.92 | −1.92% |
2015 | 1504.5 | −0.2 | −13.43 | −309.932 | −20.81 | −1.38% |
2016 | 1469.2 | −0.37 | −24.84 | −432.708 | −29.05 | −1.98% |
2017 | 1268.1 | −0.532 | −35.72 | −528.46 | −35.48 | −2.80% |
Mean | 1424.7 | −0.461 | −30.95 | −415.263 | −27.88 | −1.96% |
Total (2014–2017) | 5698.7 | −8.07% |
The table presents estimates from a cost-benefit exercise. The total financial costs in column (1) are taken from OPAS/OMS Brazil, while the estimates in columns (2) and (4) are taken from table 1. Other columns present computed estimates. The number of treated municipalities is 4103, with an average population of 42 400 people (panel A). The number of treated municipalities on the matched sample is 3265, with an average population of 20 562 people (panel B). Column (3) is computed as column (2) multiplied by the average population (divided by 1000) and the total number of treated municipalities, expressed in 1000. Column (5) is computed as column (4) multiplied by the average population (divided by 1000) and the total number of treated municipalities, expressed in BRL million. Column (6) is computed as column (5) divided by column (1).