dc.contributor | Guarín Aristizábal, Ángela María | |
dc.contributor | Lucumí Cuesta, Diego Iván | |
dc.creator | Rodríguez Bernate, Jorge Iván | |
dc.date.accessioned | 2022-06-17T13:02:59Z | |
dc.date.available | 2022-06-17T13:02:59Z | |
dc.date.created | 2022-06-17T13:02:59Z | |
dc.date.issued | 2022-06-13 | |
dc.identifier | http://hdl.handle.net/1992/58081 | |
dc.identifier | instname:Universidad de los Andes | |
dc.identifier | reponame:Repositorio Institucional Séneca | |
dc.identifier | repourl:https://repositorio.uniandes.edu.co/ | |
dc.description.abstract | Antecedentes. Actualmente, el 61,4% de las mujeres en edad fértil en Colombia usa métodos anticonceptivos para evitar sus embarazos no intencionados (ENI). Buscando ampliar esa cobertura, el Ministerio de Salud y Protección Social (MSPS) y el Departamento Nacional de Planeación fijaron como ODS 3.7.3 una meta de 81,4% al 2030. Objetivo. Construir un Análisis Costo-Beneficio (ACB) para estimar los costos y beneficios sociales y sanitarios de alcanzar esa meta. Métodos. Se usaron los modelos FamPlan y LiST para estimar los impactos en salud de alcanzar esa meta a través de dos escenarios alternativos que fueron comparados frente al statu quo para obtener los impactos incrementales. También se estimaron dos beneficios (i) los ahorros para el MSPS por los embarazos no intencionados evitados y (ii) la pérdida social evitada por muertes maternas prevenidas. El costeo incluyó medicamentos, personal en salud, costos administrativos y logísticos, los cuales, se estimaron usando datos oficiales. Resultados. Para alcanzar la meta, Colombia necesitaría una inversión adicional de 1,04 - 1,46 billones de pesos entre 2022 y 2030. Esta inversión podría evitar al menos 6,4 millones de ENI, 1,4 millones de abortos inseguros, 93.089 AVADs y 1.388 muertes maternas. Por cada peso invertido en anticoncepción, el SGSSS se podría ahorrar al menos 2,9 pesos por ENI evitados. Cada peso invertido en anticonceptivos también podría evitar una pérdida social de al menos 17.6 pesos por muertes maternas evitadas. Conclusión. La anticoncepción tiene un alto retorno social sobre la inversión en Colombia. Para alcanzar la meta, el SGSSS debe asignar recursos financieros adicionales y definir los incentivos apropiados para aseguradores y prestadores. Futuros ACB para las poblaciones más rezagadas podrían ser un insumo de incidencia para la asignación de recursos para alcanzar la meta en todos los territorios del país. | |
dc.description.abstract | Background. Currently, 61.4% of women of reproductive age in Colombia use contraceptive methods to avert their unintended pregnancies. Aiming to scale up the coverage, the Ministry of Health (MoH) and the National Planning Department set a target of 81.4% by 2030 as SDG 3.7.3. Objective. Builds a Cost-Benefit Analysis to estimate the health and societal benefits and costs of achieving that target. Methods. We used FamPlan and LiST models to estimate the health impacts of reaching the target by 2030 via two alternative scenarios that were compared to the statu quo to obtain the incremental impacts. Also, we estimate two benefits (i) the cost-saving to the MoH because of the unintended pregnancies averted; and (ii) the social loss averted because of the maternal lives saved. The costing includes commodities, staff, program, and logistics costs, that were estimated using official data from the MoH. Results. To achieve the target of 81.4% by 2030, Colombia would need to increase the investment by 1.04 - 1.46 trillion Colombian pesos (264-369 million dollars) over 2022-2030. This investment would avert at least 6.4 million unintended pregnancies, 1.4 million unsafe abortions, 93,089 DALYs, and 1,388 maternal deaths. For every dollar invested in contraceptives, the Colombian health system would save at least 2.9 dollars by the unintended pregnancies averted. Every dollar invested in contraceptives would avert a social loss of at least 17.6 dollars for the society because of the maternal lives saved. Conclusion. Contraception has high social returns on investment in Colombia. To achieve the target, the Colombian health system needs to allocate additional financial resources and put the appropriate incentives for health insurers and providers. Future cost-benefit analysis for disadvantaged populations could be an important input for advocacy towards the allocation of the required resources to reach the target in all the country's territories. | |
dc.language | spa | |
dc.publisher | Universidad de los Andes | |
dc.publisher | Maestría en Políticas Públicas | |
dc.publisher | Escuela de Gobierno Alberto Lleras Camargo | |
dc.relation | Amporfu, E., Arthur, E., Novignon, J., & Wong, B. (2020). Cost-benefit analysis of Family Planning in Ghana. https://www.copenhagenconsensus.com/sites/default/files/gp_a4_family_planning_final.pdf | |
dc.relation | Andia, T., Mantilla, C., Morales, A., Ortiz, S., & Rodríguez-Lesmes, P. (2020). Does price-cap regulation work for increasing access to contraceptives? Aggregate-and pharmacy-level evidence from Colombia. https://repository.urosario.edu.co/handle/10336/20291 | |
dc.relation | Askew, I., Weinberger, M., Dasgupta, A., Darroch, J., Smith, E., Stover, J., & Yahner, M. (2017). Harmonizing methods for estimating the impact of contraceptive use on unintended pregnancy, abortion, and maternal health. Global Health Science and Practice, 5(4), 658¿667. https://doi.org/10.9745/GHSP-D-17-00121 | |
dc.relation | Avenir Health. (2022b). Spectrum Manual: Spectrum system of policy models. https://avenirhealth.org/Download/Spectrum/Manuals/SpectrumManualE.pdf | |
dc.relation | Bollinger, L. A., Sanders, R., Winfrey, W., & Adesina, A. (2017). Lives Saved Tool (LiST) costing: A module to examine costs and prioritize interventions. BMC Public Health, 17. https://doi.org/10.1186/s12889-017-4738-1 | |
dc.relation | Darroch, J. (2017). ADDING IT UP: Investing in Contraception and Maternal and Newborn Health, 2017. In Adding It Up: the costs and benefits of investing in sexual and reproductive health 2017. https://doi.org/10.2105/AJPH.2006.090522 | |
dc.relation | Fouad, J., & Nassar, H. (2021). Family Planning as a Necessary and Feasible Option for African Countries: Cost-Benefit Analysis of Evidence from Egypt. African Journal of Business and Economic Research, 16(4), 203-223. https://doi.org/10.31920/1750-4562/2021/v16n4a10 | |
dc.relation | Frost, J. J., Sonfield, A., Zolna, M. R., & Finer, L. B. (2014). Return on investment: a fuller assessment of the benefits and cost savings of the US publicly funded family planning program. The Milbank Quarterly, 92(4), 696-749. https://doi.org/10.1111/1468-0009.12080
Guttmacher Institute. (2022). Colombia country profile, 2022. https://www.guttmacher.org/geography/latin-america-caribbean/colombia | |
dc.relation | Hatcher, R., Nelson, A., Trussell, J., Cwiak, C., Cason, P., Policar, M., Aiken, A., Marrazzo, J., & Kowal, D. (2018). Contraceptive technology (21th ed.). | |
dc.relation | Institute for Health Metrics and Evaluation IHME. (2020). Global Burden of Disease Study 2019 Results. Global Burden of Disease Collaborative Network (2019). | |
dc.relation | Jamison, D. T., Summers, L. H., Alleyne, G., Arrow, K. J., Berkley, S., Binagwaho, A., Bustreo, F., Evans, D., Feachem, R. G. A., Frenk, J., Ghosh, G., Goldie, S. J., Guo, Y., Gupta, S., Horton, R., Kruk, M. E., Mahmoud, A., Mohohlo, L. K., Ncube, M., ¿ Yamey, G. (2013). Global health 2035: A world converging within a generation. The Lancet, 382(9908), 1898-1955. https://doi.org/10.1016/S0140-6736(13)62105-4 | |
dc.relation | Johns Hopkins Bloomberg School of Public Health. (2022, February). The Lives Saved Tool (LiST). Https://Www.Livessavedtool.Org/. https://www.livessavedtool.org/ | |
dc.relation | Keen, S., Begum, H., Friedman, H. S., & James, C. D. (2017). Scaling up family planning in Sierra Leone: A prospective cost-benefit analysis. Women's Health, 13(3), 43-57. https://doi.org/10.1177/1745505717724617 | |
dc.relation | Kosimbei, G., & Koronya, C. (2017). Cost Effectiveness and Cost Benefit Analysis of Family Planning in Kenya. https://ir-library.ku.ac.ke/bitstream/handle/123456789/18877/Cost%20Effectiveness%20and%20Cost%20Benefit.....pdf?sequence=1&isAllowed=y | |
dc.relation | Mardones, C., & Riquelme, M. (2018). Estimation of the value of statistical life in Chile and extrapolation to other Latin American countries. Latin American Research Review, 53(4), 815-830. https://doi.org/10.25222/larr.61 | |
dc.relation | Márquez, L., & Avella, H. (2012). Estimación del valor estadístico de una vida asociado a la seguridad vial en Bogotá. Revista Ingenierías Universidad de Medellín, 11(21), 101-112. http://www.scielo.org.co/pdf/rium/v11n21/v11n21a09.pdf | |
dc.relation | Ministerio de Salud y Protección Social [MSPS], & Profamilia. (2015). Encuesta Nacional de Demografía y Salud (ENDS) 2015 Tomo 2: Componente de Salud Sexual y Reproductiva. In Profamilia (Vol. 2). https://profamilia.org.co/wp-content/uploads/2019/05/ENDS-2015-TOMO-II.pdf | |
dc.relation | Murad, R., Rivillas, J. C., Vargas-pinzón, V., & Forero-martínez, L. J. (2018). Determinants of pregnancy in adolescents in Colombia: Explaining the causes of causes . 0-14. https://doi.org/10.13140/RG.2.2.16855.50088 | |
dc.relation | ORGANON. (2021). Aportes para la construcción de la dimensión de Salud y Derechos Sexuales y Reproductivos del Plan Decenal de Salud Pública 2022-2031: Resultados en salud de alcanzar la meta de planificación familiar en Colombia al 2030. | |
dc.relation | Population Council. (2014). Measuring the impact of Contraceptive Use on Unintended Pregnancy and other health outcomes. April. http://www.popcouncil.org/uploads/pdfs/2014STEPUP_MeasuringImpact.pdf | |
dc.relation | Prada, E., Singh, S., Remez, L., & Villarreal, C. (2011). Embarazo no deseado y aborto inducido en Colombia: causas y consecuencias. https://www.guttmacher.org/es/report/embarazo-no-deseado-y-aborto-inducido-en-colombia-causas-y-consecuencias | |
dc.relation | Singh, S., Darroch, J. E., & Ashford, L. S. (2014). Adding It Up: The cost and benefits of investing in sexual and reproductive health, 2014. https://doi.org/10.17226/9822 | |
dc.relation | Steiner, M., Sonneveldt, E., Lebetkin, E., & Jallow, F. (2022). Updating Couple Years of Protection: Literature review, guidance for updating existing methods and adding new methods. https://www.fhi360.org/sites/default/files/media/documents/resource-cyp-brief.pdf | |
dc.relation | Stover J; Heaton L; Ross J. (2005). FamPlan: A computer program for projecting family planning requirements. http://www.futuresgroup.com/software/Spectrum/FampmanE.pdf | |
dc.relation | Trussell, J., Lalla, A. M., Doan, Q. v., Reyes, E., Pinto, L., & Gricar, J. (2009). Cost Effectiveness of Contraceptives in the United States. Contraception, 79(1), 5-14. https://doi.org/10.1016/j.contraception.2008.08.003 | |
dc.relation | UNFPA. (2019). Metodología para estimar el impacto económico del embarazo y la maternidad adolescentes en países de América Latina y el Caribe - MILENA 1.0. | |
dc.relation | Garraza, L. G., Tobar, F., & Rodríguez Bernate, I. (2020). Out-of-pocket spending for contraceptives in Latin America. Sexual and Reproductive Health Matters, 28(2), 1833429. https://doi.org/10.1080/26410397.2020.1833429 | |
dc.relation | UNFPA Colombia. (2020). Consecuencias socioeconómicas del embarazo adolescente y la maternidad en la adolescencia en Colombia. https://colombia.unfpa.org/sites/default/files/pub-pdf/informe_milena_colombia-v9.pdf | |
dc.relation | UNFPA Country Office for Pakistan. (2019). Health Impacts and Economic Returns of Increased FP Provision in Pakistan. https://asiapacific.unfpa.org/en/publications/pakistan-family-planning-cost-benefit-analysis | |
dc.relation | United Nations Population Division. (2020). World Contraceptive Use 2019: Methodology. https://www.un.org/en/development/desa/population/publications/dataset/contraception/wcu2019/UNPD_WCU2019_Methodology.pdf | |
dc.relation | United Nations Population Fund [UNFPA]. (2021a). Investing in maternal health and family planning in Small Island Developing States: Health and economic benefits from investing in the achievement of three transformative results. | |
dc.relation | United Nations Population Fund [UNFPA]. (2021b). Investing in maternal health and family planning in Small Island Developing States: Health and economic benefits from investing in the achievement of three transformative results. | |
dc.relation | United Nations Population Fund [UNFPA], & Ministry of Health, R. of R. (2019). Bussiness case for Family Planning in Rwanda. | |
dc.relation | Walker, N., Tam, Y., & Friberg, I. K. (2013). Overview of the Lives Saved Tool (LiST). In BMC Public Health (Vol. 13, Issue SUPPL.3). https://doi.org/10.1186/1471-2458-13-S3-S1 | |
dc.relation | World Health Organization (WHO). (2011). Unsafe abortion Sixth edition Global and regional estimates of the incidence of unsafe abortion and associated mortality in 2008. https://apps.who.int/iris/handle/10665/44529 | |
dc.rights | http://creativecommons.org/licenses/by-sa/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | http://purl.org/coar/access_right/c_abf2 | |
dc.title | Análisis de costo-beneficio de alcanzar la meta ODS de planificación familiar en Colombia hacia el 2030 | |
dc.type | Trabajo de grado - Maestría | |