References
- Leon RD, Ewerling F, Serruya SJ, et al. Contraceptive use in Latin America and the Caribbean with a focus on long-acting reversible contraceptives: prevalence and inequalities in 23 countries. Lancet Glob Health. 2019;7:e227–e235. DOI:10.1016/S2214-109X(18)30481-9.
- Caffe S, Plesons M, Camacho AV, et al. Looking back and moving forward: can we accelerate progress on adolescent pregnancy in the Americas? Reprod Health. 2017;14:83. DOI:10.1186/s12978-017-0345-y.
- Fagan T, Dutta A, Rosen J, et al. Family planning in the context of Latin America’s universal health coverage agenda. Glob Health Sci Pract. 2017;5:382–398. DOI:10.9745/GHSP-D-17-00057.
- Restrepo-Méndez MC, Barros AJD, Requejo J, et al. Progress in reducing inequalities in reproductive, maternal, newborn,’ and child health in Latin America and the Caribbean: an unfinished agenda. Rev Panam Salud Publica Pan Am J Public Health. 2015;38:9–16.
- Ugaz JI, Chatterji M, Gribble JN, et al. Regional trends in the use of short-acting and long-acting contraception accessed through the private and public sectors. Int J Gynecol Obstet. 2015;130:E3–E7. DOI:10.1016/j.ijgo.2015.03.021.
- Shoupe D. LARC methods: entering a new age of contraception and reproductive health. Contracept Reprod Med. 2016;1:4. s40834-016-0011-8. DOI:10.1186/s40834-016-0011-8.
- Dmytraczenko T, Almeida G. Toward universal health coverage and equity in Latin America and the Caribbean: evidence from selected countries. The World Bank; 2015. DOI:10.1596/978-1-4648-0454-0.
- Xu K, Evans DB, Carrin G, et al. Protecting households from catastrophic health spending. Health Aff. 2007;26:972–983. DOI:10.1377/hlthaff.26.4.972.
- World Health Organization, et al. The world health report: health systems financing: the path to universal coverage. Geneva: World Health Organization; 2010. Available from: https://www.who.int/whr/2010/en/.
- Wagstaff A, Flores G, Smitz M-F, et al. Progress on impoverishing health spending in 122 countries: a retrospective observational study. Lancet Glob Health. 2018;6:e180–e192. DOI:10.1016/S2214-109X(17)30486-2.
- Rezayatmand R, Pavlova M, Groot W. The impact of out-of-pocket payments on prevention and health-related lifestyle: a systematic literature review. Eur J Public Health. 2013;23:74–79. DOI:10.1093/eurpub/cks034.
- Bahamondes L, Villarroel C, Frías Guzmán N, et al. The use of long-acting reversible contraceptives in Latin America and the Caribbean: current landscape and recommendations. Hum Reprod Open. 2018;2018. DOI:10.1093/hropen/hox030.
- Mestad R, Secura G, Allsworth JE, et al. Acceptance of long-acting reversible contraceptive methods by adolescent participants in the contraceptive CHOICE project. Contraception. 2011;84:493–498. DOI:10.1016/j.contraception.2011.03.001.
- Lindo JM, Packham A. How much can expanding access to long-acting reversible contraceptives reduce teen birth rates? Am Econ J Econ Policy. 2017;9:348–376. DOI:10.1257/pol.20160039.
- Sahay R, Goyal R. Volatility and growth in Latin America; an episodic approach. International Monetary Fund; 2006; [cited 2020 Feb 5]. Available from: https://ideas.repec.org/p/imf/imfwpa/06-287.html.
- Spinola D. Instability constraints and development traps: an empirical analysis of growth cycles and economic volatility in Latin America. United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT); 2018; [cited 2020 Feb 5]. Available from: https://econpapers.repec.org/paper/unmunumer/2018002.htm.
- Cárcamo-Díaz R, Pineda-Salazar R. Economic growth and real volatility: the case of Latin America and the Caribbean. Santiago: ECLAC; 2014; [cited 2020 Feb 5]. Available from: https://www.cepal.org/fr/node/25632.
- Loayza NV, Rancière R, Servén L, et al. Macroeconomic volatility and welfare in developing countries: an introduction. World Bank Econ Rev. 2007;21:343–357. DOI:10.1093/wber/lhm017.
- Heijink R, Xu K, Saksena P, et al. Validity and comparability of out-of-pocket health expenditure from household surveys: a review of the literature and current survey instruments. Geneva: World Health Organization; 2011; [cited 2020 Jan 31]. Available from: http://www.who.int/health_financing/documents/cov-dp_e_11_01-oop_errors/en/.
- United Nations. Classifications of expenditure according to purpose: classification of the functions of government (COFOG), classification of individual consumption according to purpose (COICOP), classification of the purposes of non-profit institutions serving households (COPNI), classification of the outlays of producers according to purpose (COPP). New York (NY): United Nations; 2000.
- OECD. A system of health accounts. Paris: OECD Publishing; 2000. DOI:10.1787/9789264181809-en.
- World Bank. Purchasing power parities and the real size of world economies: a comprehensive report of the 2011 international comparison program. Washington (DC): World Bank Group; 2015.
- Murray C, Newby H. Data resource profile: United Nations Children’s Fund (UNICEF). Int J Epidemiol. 2012;41:1595–1601. DOI:10.1093/ije/dys185.
- U.S. Food & Drug Administration (FDA). FDA reports quality problems for data provided by the firm IQVIA that were used to inform estimates for some controlled substances. 2018. Available from: https://www.fda.gov/drugs/drug-safety-and-availability/fda-reports-quality-problems-data-provided-firm-iqvia-were-used-inform-estimates-some-controlled.
- Stover J, Bertrand JT, Shelton JD. Empirically based conversion factors for calculating couple-years of protection. Eval Rev. 2000;24:3–46. DOI:10.1177/0193841X0002400101.
- Economic Commission for Latin America and the Caribbean (ECLAC). CEPALSTAT. Available from: http://interwp.cepal.org/cepalstat/WEB_CEPALSTAT/estadisticasIndicadores.asp?idioma=i.
- World Bank. PovcalNet: the on-line tool for poverty measurement developed by the development research group of the World Bank. Available from: http://iresearch.worldbank.org/PovcalNet/povOnDemand.aspx.
- Simpson D, Rue H, Riebler A, et al. Penalising model component complexity: a principled, practical approach to constructing priors. Stat Sci. 2017;32:1–28. DOI:10.1214/16-STS576.
- Rue H, Martino S, Chopin N. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. J R Stat Soc Ser B Stat Methodol. 2009;71:319–392. DOI:10.1111/j.1467-9868.2008.00700.x.
- R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2019. Available from: https://www.R-project.org/.
- Lumley T. Survey: analysis of complex survey samples. 2019. Available from: https://CRAN.R-project.org/package=survey.
- Lumley T. Analysis of complex survey samples. J Stat Softw. 2004;9:1–19. DOI:10.18637/jss.v009.i08.
- Pinheiro J, Bates D, DebRoy S, et al. Nlme: linear and nonlinear mixed effects models. 2019. Available from: https://CRAN.R-project.org/package=nlme.
- Reproductive Health Supplies Coalition, Miller N, Weinberger M, et al. Commodity gap analysis 2018. Key findings for Latin America & Caribbean LMI countries (24) [two-page snapshots]. Brussels: Reproductive Health Supplies Coalition; 2018. Available from: https://www.rhsupplies.org/fileadmin/uploads/rhsc/Projects/Global_Commodity_Gap_Analysis/Snapshots-2018/CGA_Snapshot_LAC.pdf.
- Colombia. Consejo Nacional de Seguridad Social en Salud. CNSSS, Colombia. Ministerio de la Protección Social; Colombia. Ministerio de Hacienda y Crédito Público; RID-TAGCLOUD. Acuerdo 0380 de 2007. 2007. Available from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/DIJ/Acuerdo_380_de_2007.pdf.
- Becker NV, Polsky D. Women saw large decrease in out-of-pocket spending for contraceptives after ACA mandate removed cost sharing. Health Aff. 2015;34:1204–1211. DOI:10.1377/hlthaff.2015.0127.