| Literature DB >> 28701193 |
Alecia J McGregor1, Carlos Eduardo Siqueira2, Alan M Zaslavsky3, Robert J Blendon4.
Abstract
BACKGROUND: This study analyzed several political determinants of increased private-sector management in Brazilian health care. In Brazil, the poor depend almost exclusively on the public Unified Health System (the SUS), which remains severely underfunded. Given the overhead costs associated with privately contracted health services, increased private management is one driver of higher expenditures in the system. Although left parties campaign most vocally in support of greater public control of the SUS, the extent to which their stated positions translate into health care policy remains untested.Entities:
Keywords: Brazil; Health systems; Neoliberalism; Political parties; Private contracting; Sus; Unified health system
Mesh:
Year: 2017 PMID: 28701193 PMCID: PMC5508633 DOI: 10.1186/s12913-017-2427-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Composition of public and private medical equipment (of all types) in the Brazilian SUS between 2006 and 2012. Cadastro Nacional de Estabelecimentos de Saúde (CNES), Brazilian Ministry of Health
Fig. 2Summary of Party Transitions for Mayoral Seats from 2000 to 2004. Only the top 10 political parties represented in Brazilian municipalities are included. Tribunal Superior Eleitoral (TSE)
Fig. 3Summary of Party Transitions for Mayoral Seats from 2004 to 2008. Only the top 10 political parties represented in Brazilian municipalities are included. Tribunal Superior Eleitoral (TSE)
Average %Private Sector Involvement in Health Care and Health Care Spending by Year a,b,c
| Year | Equipment | Outsourcing (% health expenditures) | Health Spending per capita (2012 $R) | |||
|---|---|---|---|---|---|---|
| Dental (% Private) | X-Rays (% Private) | Ultrasounds (% Private) | Hosp. Beds (% Private) | |||
| 2008 | 12.3 | 34.8 | 35.8 | 21.9 | 14.5 | 312.4 |
| (19.4) | (68.4) | (72.7) | (36.6) | (12.9) | (155.4) | |
| 2012 | 17.5 | 35.4 | 34.7 | 18.4 | 16.4 | 540.0 |
| (33.3) | (69.7) | (71.4) | (21.6) | (15.2) | (260.3) | |
| Change | 5.2 | 0.6 | −1.1 | −3.5 | 1.9 | +227.6 |
aData are presented as means (interquartile range)
b% Private denotes percent privately managed and maintained
cData Source: National Registry of Health Establishments and Information System on Public Health Budgets, Ministério da Saúde, Brasil
Party-in-power estimates of linear regressions predicting 2012 level of privatization and health care expenditures by party elected in 2008 (controlling for incumbency, baseline privatization, HDI, and upper middle-class income)a
| Party Elected In 2008 | Dental | X-rays | Ultrasounds | Hospital Beds | Outsourcing | Health Expenditures |
|---|---|---|---|---|---|---|
| DEM | −0.86 (0.55) | −0.40 (1.02) | 1.12 (1.27) | −0.11 (1.16) | −0.35 (0.46) | −.69 (1.19) |
| PDT | 0.15 (0.66) | 0.40 (1.21) | 1.43 (1.50) | −0.20 (1.33) | −0.23 (0.54) | −2.84* (1.40) |
| PMDB | −0.02 (0.39) | −0.30 (0.71) | 0.32 (0.88) | 0.50 (0.79) | −0.45 (0.33) | −0.07 (0.84) |
| PP | 0.21 (0.54) | 0.34 (0.97) | −0.81 (1.24) | −1.57 (1.10) | −1.00* (0.45) | −0.48 (1.16) |
| PPS | −0.16 (1.03) | 1.51 (1.84) | −0.72 (2.27) | 1.60 (2.10) | 0.58 (.84) | −0.29 (2.20) |
| PR | 0.26 (0.62) | −1.28 (1.11) | −2.45. (1.38) | 0.90 (1.23) | 0.06 (0.52) | 1.73 (1.35) |
| PSB | 0.024 (0.68) | 0.80 (1.31) | 0.49 (1.45) | 0.02 (1.30) | 0.55· (0.57) | 1.05 (1.47) |
| PSDB | −0.25 (0.46) | −1.67* (0.81) | −2.12* (1.03) | −0.67 (0.96) | 0.21 (0.38) | 2.02* (0.99) |
| PT | 0.40 (0.52) | 0.09 (0.92) | 3.51** (1.14) | 0.32 (1.01) | 1.21** (0.44) | 0.11 (1.13) |
| PTB | 0.24 (0.60) | 0.51 (1.17) | −0.77 (1.40) | −0.78 (1.25) | −0.58 (0.51) | −0.52 (1.30) |
| F statistic | 40.28 | 71.60 | 209.84* | 43.86 | 191.80* | 114.11 |
| Num. obs. | 4650 | 3075 | 2429 | 2987 | 4347 | 4476 |
a*** p < 0.001, ** p < 0.01, * p < 0.05, · p < 0.1. Entries are deviations from the mean (standard errors) times 100
Covariates in linear regression models predicting 2012 Levels of Privatization by Party in Power in Brazilian Municipalitiesa
| Dental | X-rays | Ultrasounds | Hospital Beds | Outsourcing | Health Expenditures | |
|---|---|---|---|---|---|---|
| Incumbency | 0.17 | −0.07 | 0.43 | −1.90* | −0.46 | 0.75 |
| (0.37) | (0.66) | (0.82) | (0.74) | (0.30) | (0.83) | |
| HDI | 0.50*** | 0.44*** | 0.27* | 0.11 | 0.21*** | 0.31* |
| (0.06) | (0.11) | (0.13) | (0.12) | (0.05) | (0.10) | |
| Upper middle class income | 0.05*** | 0.04** | 0.07** | 0.05· | −0.01 | 0.08** |
| (0.01) | (0.02) | (0.03) | (0.03) | (0.01) | (0.03) | |
| Controls for Baseline and Aggregate Changeb | ||||||
| Total Equipment per capita end of term | 2.40*** | 4.29*** | 3.45*** | 0.35*** | ||
| (0.08) | (0.28) | (0.50) | (0.05) | |||
| Total Equipment per capita baseline | −2.91*** | −4.32*** | −3.38*** | −0.30*** | ||
| (0.09) | (0.29) | (0.43) | (0.04) | |||
| % Private Equipment baseline | 0.83*** | 0.79*** | 0.77*** | 0.75*** | ||
| Interquartile Range | 0.19 | 0.68 | 0.72 | 0.37 | ||
| (0.01) | (0.01) | (0.01) | (0.01) | |||
| Outsourcing/Health Expenditures | 0.63*** | |||||
| (0.01) | ||||||
| Health Expenditures per capita | 0.77*** | |||||
| (0.01) | ||||||
| R2 Full Model | 0.76 | 0.76 | 0.73 | 0.67 | 0.44 | 0.69 |
| R2 Political Variables Only | 0.01 | 0.01 | 0.02 | 0.01 | 0.01 | 0.01 |
| Num. obs. | 4650 | 3075 | 2429 | 2987 | 4347 | 4476 |
a*** p < 0.001, ** p < 0.01, * p < 0.05, · p < 0.1. Entries are regression coefficients (standard errors). Note: Incumbency estimates multiplied by 100
bEstimates for total equipment per capita at end of term and baseline should be considered together. When combined, their sum equals the effect size for the change in the total stock of equipment over the mayoral term
Difference in 2008 % privatization and health care expenditures by party elected in 2004 (controlling for incumbency, baseline privatization, HDI, and upper middle-class income)a,b
| Dental | X-rays | Ultrasounds | Hospital Beds | Outsourcing | Health Expenditures | |
|---|---|---|---|---|---|---|
| Party Elected In 2004 | ||||||
| DEM | −0.78 | 1.81. | 2.45. | −0.35 | −0.41 | −0.94 |
| (0.54) | (1.07) | (1.26) | (0.96) | (0.36) | (1.18) | |
| PDT | −0.17 | −0.59 | −0.72 | 0.87 | 1.38** | 2.04 |
| (0.69) | (1.43) | (1.82) | (1.34) | (0.53) | (1.72) | |
| PMDB | −1.31** | −0.13 | 0.06 | 1.21 | 0.02 | 0.57 |
| (0.44) | (0.90) | (1.17) | (0.83) | (0.32) | (1.04) | |
| PP | −0.86 | −2.07. | −2.40 | −3.14** | −0.38. | 1.89 |
| (0.56) | (1.16) | (1.48) | (1.09) | (0.41) | (1.34) | |
| PPS | −0.24 | −0.39 | −1.03 | −1.62 | 1.06 | −1.48 |
| (0.75) | (1.49) | (1.84) | (1.37) | (.56) | (1.84) | |
| PR | 0.12 | 1.99 | 0.75 | 1.61 | −0.64 | −1.36 |
| (0.71) | (1.42) | (1.69) | (1.28) | (0.49) | (1.60) | |
| PSB | 1.06 | 0.50 | 1.90 | 2.08 | −0.21· | −0.54 |
| (1.19) | (2.31) | (2.52) | (1.73) | (0.70) | (2.31) | |
| PSDB | 0.50 | −1.12 | −1.22 | 0.53 | −0.27 | −1.42 |
| (0.48) | (1.00) | (1.18) | (0.91) | (0.35) | (1.13) | |
| PT | 1.00. | 2.01 | −0.13 | 0.16 | 0.39 | −1.71 |
| (0.61) | (1.23) | (1.49) | (1.15) | (0.46) | (1.52) | |
| PTB | 0.68 | −1.93 | 0.48 | −1.34 | −0.93* | 2.94. |
| (0.66) | (1.36) | (1.65) | (1.28) | (0.47) | (1.54) | |
| F statistic | 201.65* | 151.47 | 93.81 | 176.11. | 187.60. | 125.74 |
| Num. obs. | 3420 | 2840 | 1988 | 2998 | 4480 | 4534 |
a*** p < 0.001, ** p < 0.01, * p < 0.05, · p < 0.1. Entries are deviations from the mean (standard errors) times 100
bDue to limitations in data availability, 2005 baseline values were used for x-rays, ultrasounds, and hospital beds, 2006 values for dental equipment, and 2004 values for outsourcing and health expenditures
Results of linear regression models predicting 2008 Levels of Privatization by Party in Power in Brazilian Municipalitiesa
| Dental | X-rays | Ultrasounds | Hospital Beds | Outsourcing | Health Expenditures | |
|---|---|---|---|---|---|---|
| Incumbency | −0.27 | −0.35 | 0.85 | −0.85 | −0.46 | 0.02. |
| (0.42) | (0.86) | (1.10) | (0.01) | (0.00) | (0.01) | |
| HDI | 0.19** | 0.23. | 0.62*** | −0.07 | 0.16*** | 0.79*** |
| (0.06) | (0.13) | (0.15) | (0.12) | (0.04) | (0.14) | |
| Upper middle class income | 0.09*** | 0.08** | 0.06. | 0.06* | 0.04*** | −0.16*** |
| (0.01) | (0.03) | (0.04) | (0.03) | (0.01) | (0.04) | |
| Controls for Baseline and Aggregate Changec | ||||||
| Total Equipment per capita end of term | 0.92*** | 4.89*** | 8.85*** | 0.13*** | ||
| (0.11) | (0.30) | (0.87) | (0.03) | |||
| Total Equipment per capita baseline | −0.78*** | −4.73*** | −10.37*** | −0.07* | ||
| (0.11) | (0.29) | (0.85) | (0.03) | |||
| % Private Equipment | 0.78*** | 0.77*** | 0.72*** | 0.80*** | ||
| Interquartile Range | 0.20 | 0.67 | 0.73 | 0.47 | ||
| (0.01) | (0.01) | (0.01) | (0.01) | |||
| Outsourcing/Health Expenditures | 0.44*** | |||||
| (0.01) | ||||||
| Health Expenditures per capita | 0.70*** | |||||
| (0.01) | ||||||
| R2 Full model | 0.77 | 0.70 | 0.70 | 0.71 | 0.47 | 0.60 |
| R2 Political variables only | 0.02 | 0.01 | 0.01 | 0.01 | 0.03 | 0.01 |
| Num. obs. | 3420 | 2840 | 1988 | 2998 | 4480 | 4534 |
a*** p < 0.001, ** p < 0.01, * p < 0.05, · p < 0.1. Entries are regression coefficients (standard errors). Note: Incumbency estimates are multiplied by 100
bDue to limitations in data availability, 2005 baseline values were used for x-rays, ultrasounds, and hospital beds, 2006 values for dental equipment, and 2004 values for outsourcing and health expenditures
cEstimates for total equipment per capita at end of term and baseline should be considered together. When combined, their sum equals the effect size for the change in the total stock of equipment over the mayoral term