| Literature DB >> 23251451 |
Eduardo Martínez-Martínez1, María Luisa Zaragoza, Elmer Solano, Brenda Figueroa, Patricia Zúñiga, Juan P Laclette.
Abstract
BACKGROUND: The legal framework and funding mechanisms of the national health research system were recently reformed in Mexico. A study of the resource allocation for health research is still missing. We identified the health research areas funded by the National Council on Science and Technology (CONACYT) and examined whether research funding has been aligned to national health problems. METHODS ANDEntities:
Mesh:
Year: 2012 PMID: 23251451 PMCID: PMC3519634 DOI: 10.1371/journal.pone.0051195
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Federal Government budget for Health, R&D, and Health R&D*.
| 2000 | 2003 | 2004 | 2005 | 2007 | 2008 | 2009 | 2010 | |
| Millions of US$ PPP | ||||||||
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| % of total budget | 8.7 | 9.1 | 10.7 | 10.5 | 10.5 | 10.5 | 9.9 | 9.8 |
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| % of total budget | 1.9 | 1.9 | 1.7 | 1.7 | 1.4 | 1.5 | 1.4 | 1.4 |
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| % of total federal budget | 0.058 | 0.145 | 0.086 | 0.107 | 0.091 | 0.085 | 0.119 | 0.104 |
| % of Budget for health | 0.66 | 1.59 | 0.80 | 1.02 | 0.86 | 0.81 | 1.19 | 1.06 |
| % of resources for R&D | 3.0 | 7.5 | 5.1 | 6.2 | 6.3 | 5.6 | 8.3 | 7.4 |
Amounts in millions of US dollars adjusted for purchasing power parity (US$ PPP).
Refers to total net expenditure projected in the Expenditure Budget of the Federation for the corresponding fiscal year, Ministry of Finance (SHCP).
Includes the budget of Branch 12 Health, Mexican Institute of Social Security (IMSS) and Institute of Social Security for State Workers (ISSSTE) excluding the pension and retirement contributions. For 2009 and 2010 correspond to the Retirement and Pensions allocation of the branches GYN and GYR. From 2002 to 2008 corresponds to the item “old age” in the branches GYN and GYR. Data for 2000 and 2001 were taken from the Branch 19 “Contributions to Social Security” specified for each entity.
Includes the resources for science and technology allocated to National Council on Science and Technology (CONACYT), Ministry of Education (SEP), Ministry of Energy (SENER), Ministry of Health (including IMSS and ISSSTE), Ministry of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), Ministry of Economy (SE), Ministry of Environment and Natural Resources (SEMARNAT), Office of the Mexican Attorney-General (PGR), Ministry of Communications and Transport (SCT), Ministry of National Defense (SEDENA), Secretary of Navy (SEMAR) and Ministry of Tourism (SECTUR), including own resources.
Refers to the resources allocated to science and technology in the Branch 12 Health, IMSS and ISSSTE, including own resources.
Sources: Based on information of CONACYT, SHCP, Central Bank of Mexico (BANXICO), and World Bank.
General statistics of CONACYT1 funds, 2003–2010*.
| FOMIX | FOSISS | FOSIB | |
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| 3789 | 928 | 5886 |
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| 668.5 | 179.3 | 768.4 |
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| 539 (14) | 928 (100) | 1827 (31) |
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| 52.3 (7.8) | 179.3 (100) | 270.8 (35.2) |
Amounts in millions of US dollars adjusted for purchasing power parity.
CONACYT: National Council on Science and Technology.
FOMIX: Mixed Funds.
FOSISS: Sectoral Fund for Research in Health and Social Security.
FOSIB: Sectoral Fund for Basic Research.
Figure 1National Council on Science and Technology (CONACYT) investment on health research.
The annual evolution of resources assigned to the Mixed Funds (FOMIX), Sectoral Fund for Research on Health and Social Security (FOSISS), and Sectoral Fund for Basic Research (FOSIB) is presented. The cash amounts are in US dollars adjusted for purchasing power parity (US$ PPP).
Figure 2Evolution of the health research funding by research methodology.
For each Sectoral Fund, the health-related projects were classified according to the methodology employed in biomedical research, clinical research, or public health research. The total amount awarded per methodology from 2003 to 2010 was estimated (A). Note that resources of Sectoral Fund for Basic Research (FOSIB) were mainly allocated to biomedical projects, whereas resources of Sectoral Fund for Research on Health and Social Security (FOSISS) were mostly directed to clinical projects. FOMIX: Mixed Funds.
Figure 3Project distribution by research objectives and annual amounts funded.
A: The share for each research objective (in percent) within National Council on Science and Technology (CONACYT) funds. B: Budget fluctuations for each thematic objective over the period. Research projects were classified by thematic objective considering nine categories: health determinants (1.social, economic and cultural), health conditions (2. noncommunicable diseases; 3. communicable diseases; 4. nutrition and environment; 5. violence and accidents), and actions or interventions (6. research on health policy, systems and services; 7. technological R&D; 8. basic science; and 9. traditional medicine). FOSIB: Sectoral Fund for Basic Research; FOMIX: Mixed Funds; FOSISS: Sectoral Fund for Research in Health and Social Security.
Allocation of CONACYT1 (FOMIX2, FOSISS3, and FOSIB4) funds, by research methodology and objective (2003–2010)*.
| Research methodology | ||||
| Objective | Biomedical | Clinical | Public Health | Total |
| Social, economic and cultural | 0.6 | 3.3 | 9.7 | 13.7 |
| Communicable diseases | 41.0 | 37.1 | 12.8 | 90.9 |
| Noncommunicable diseases | 37.5 | 69.0 | 13.0 | 119.6 |
| Nutrition and environment | 18.5 | 9.6 | 8.6 | 36.8 |
| Violence and accidents | 2.0 | 1.4 | 2.5 | 5.9 |
| Health policies, systems and services | 1.0 | 1.1 | 19.9 | 22.0 |
| Technological R&D | 53.9 | 3.1 | 1.5 | 58.5 |
| Basic Research | 138.3 | 9.8 | 0.1 | 148.2 |
| Traditional Medicine | 6.4 | 0.5 | 0 | 6.9 |
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Amounts in millions of US dollars adjusted for purchasing power parity.
CONACYT: National Council on Science and Technology.
FOMIX: Mixed Funds.
FOSISS: Sectoral Fund for Research in Health and Social Security.
FOSIB: Sectoral Fund for Basic Research.
Figure 4Relationship between CONACYT funding and disease burden.
The scatter plots show the relationship between National Council on Science and Technology (CONACYT) funding and mortality (A) or disability-adjusted life years DALYs (B). The red line in each panel represents the predicted funding on the basis of the linear regression analysis of all data. Axes are on logarithmic scales.
Difference between actual and predicted funding on health research+.
| Disease | DALY | Mortality(rank) | Disease | DALY (rank) | Mortality(rank) |
| Thousands of US$ PPP | Thousands of US$ PPP | ||||
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| −2,089 (1) | −2,580 (5) |
| 486 (39) | −647 (23) |
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| −1,960 (2) | −2,948 (3) |
| 736 (40) | 865 (38) |
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| −1,813 (3) | −1,309 (16) |
| 764 (41) | 737 (36) |
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| −1,773 (4) | – |
| 767 (42) | −776 (21) |
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| −1,760 (5) | – |
| 826 (43) | −646 (24) |
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| −1,755 (6) | −1,519 (14) |
| 894 (44) | 1,371 (43) |
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| −1,719 (7) | −85 (32) |
| 1,079 (45) | −532 (25) |
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| −1,574 (8) | −293 (28) |
| 1,165 (46) | – |
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| −1,514 (9) | 648 (35) |
| 1,290 (47) | −1,155 (18) |
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| −1,499 (10) | – |
| 1,334 (48) | 1,241 (42) |
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| −1,421 (11) | −2,947 (4) |
| 1,474 (49) | 1,008 (39) |
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| −1,409 (12) | 1,080 (40) |
| 1,519 (50) | 1,607 (44) |
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| −1,400 (13) | – |
| 1,926 (51) | 1,611 (45) |
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| −1,381 (14) | −1,593 (13) |
| 2,279 (52) | 2,431 (50) |
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| −1,370 (15) | −804 (20) |
| 2,536 (53) | 1,713 (46) |
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| −1,260 (16) | −2,960 (2) |
| 2,707 (54) | 1,991 (48) |
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| −1,154 (17) | – |
| 2,898 (55) | 1,985 (47) |
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| −1,125 (18) | −150 (30) |
| 2,911 (56) | 1,130 (41) |
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| −1,106 (19) | −1,952 (8) |
| 3,065 (57) | 2,583 (51) |
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| −1,076 (20) | −1,890 (9) |
| 3,372 (58) | 3,595 (52) |
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| −1,033 (21) | −2,142 (7) |
| 3,495 (59) | 4,203 (54) |
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| −1,032 (22) | −3,074 (1) |
| 3,804 (60) | 2,239 (49) |
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| −951 (23) | −1,433 (15) |
| 4,223 (61) | 4,379 (55) |
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| −896 (24) | −455 (26) |
| 4,314 (62) | 4,197 (53) |
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| −875 (25) | −1,805 (10) |
| 4,517 (63) | 4,492 (56) |
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| −860 (26) | −2,288 (6) |
| 7,469 (64) | 5,971 (57) |
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| −832 (27) | −1,709 (12) |
| 8,139 (65) | 7,342 (58) |
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| −822 (28) | −1,756 (11) |
| 9,005 (66) | 7,844 (59) |
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| −815 (29) | −677 (22) |
| 9,878 (67) | 8,666 (60) |
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| −623 (30) | −1,264 (17) |
| 10,447 (68) | 10,116 (61) |
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| −588 (31) | −206 (29) |
| 11,603 (69) | 10,671 (62) |
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| −477 (32) | −426 (27) |
| 11,875 (70) | 11,304 (63) |
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| −314 (33) | −32 (33) |
| 13,450 (71) | 12,186 (64) |
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| −229 (34) | – |
| 14,400 (72) | 13,838 (65) |
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| −213 (35) | 500 (34) |
| 17,516 (73) | 16,530 (67) |
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| −56 (36) | −129 (31) |
| 17,612 (74) | 16,264 (66) |
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| −10 (37) | −1,040 (19) |
| 21,029 (75) | 19,300 (68) |
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| 77 (38) | 840 (37) |
| 29,563 (76) | 28,849 (69) |
Negative values indicated that disease research was underfunded according to the predictor based on our linear regression model.
DALYs: Disability-adjusted life years.
PPP: purchasing power parity.