Synthetic Controls for Implementation Science: Opportunities for HIV Program Evaluation Using Routinely Collected Data

Abadie A, Gardeazabal J. The economic costs of conflict: a case study of the Basque country. American Economic Review. 2003;93(1):113–32.

Article  Google Scholar 

Abadie A, Diamond A, Hainmueller J. Synthetic control methods for comparative case studies: estimating the effect of California’s tobacco control program. J Am Stat Assoc. 2010;105(490):493–505.

Article  MathSciNet  CAS  Google Scholar 

Athey S, Imbens GW. The state of applied econometrics: causality and policy evaluation. Journal of Economic Perspectives. 2017;31(2):3–32.

Article  Google Scholar 

Reimagining PEPFAR’s strategic direction fulfilling America’s promise to end the HIV/AIDS pandemic by 2030. [Internet]. U.S. Department of State, Office of the Global AIDS Coordinator and Health Diplomacy; 2022 Sep. Available from: https://www.state.gov/wp-content/uploads/2022/09/PEPFAR-Strategic-Direction_FINAL.pdf

PEPFAR Fiscal Year 2023 Monitoring, evaluation, and reporting (MER) indicators. [Internet]. United States Department of State. [cited 2024 Feb 20]. Available from: https://www.state.gov/pepfar-fy-2023-mer-indicators/

Bouttell J, Craig P, Lewsey J, Robinson M, Popham F. Synthetic control methodology as a tool for evaluating population-level health interventions. J Epidemiol Community Health. 2018;72(8):673–8.

Article  PubMed  Google Scholar 

Kreif N, Grieve R, Hangartner D, Turner AJ, Nikolova S, Sutton M. Examination of the synthetic control method for evaluating health policies with multiple treated units. Health Econ. 2016;25(12):1514–28.

Article  PubMed  Google Scholar 

Bauhoff S. The effect of school district nutrition policies on dietary intake and overweight: a synthetic control approach. Econ Hum Biol. 2014;12:45–55.

Article  PubMed  Google Scholar 

Kiesel K, Villas-Boas SB. Can information costs affect consumer choice? Nutritional labels in a supermarket experiment. Int J Ind Organ. 2013;31(2):153–63.

Article  Google Scholar 

Garber MD. Precision and weighting of effects estimated by the generalized synthetic control and related methods: the case of Medicaid expansion. Epidemiology. 2024;35(2):273–7.

Article  PubMed  Google Scholar 

Reinbold GW. Effects of the Convention on the Rights of the Child on child mortality and vaccination rates: a synthetic control analysis. BMC Int Health Hum Rights. 2019;19(1):24.

Article  PubMed  PubMed Central  Google Scholar 

Kim SY, Kim H, Lee JT. Health Effects of air-quality regulations in Seoul metropolitan area: applying synthetic control method to controlled-interrupted time-series analysis. Atmosphere. 2020;11(8):868.

Article  CAS  Google Scholar 

Karlsson M, Pichler S. Demographic consequences of HIV. J Popul Econ. 2015;28(4):1097–135.

Article  Google Scholar 

Ejrnæs M, García-Miralles E, Gørtz M, Lundborg P. When death was postponed: the effect of HIV medication on work, savings and marriage. SSRN Journal [Internet]. 2023 [cited 2023 Oct 11]; Available from: https://www.ssrn.com/abstract=4527782

Eriksson A. The effect of needle exchange program on HIV and hepatitis: evidence from Sweden [Internet]. Uppsala University; 2022. Available from: https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1678269&dswid=-6691

Lim JT, Bansal S, Chong CS, Dickens B, Ng Y, Deng L, et al. Efficacy of Wolbachia-mediated sterility to reduce the incidence of dengue: a synthetic control study in Singapore. The Lancet Microbe. 2024 Feb;S266652472300397X.

Lepine A, Lagarde M, Le Nestour A. Free primary care in Zambia: an impact evaluation using a pooled synthetic control method. SSRN Journal [Internet]. 2015 Jun [cited 2024 Feb 20]; Available from: http://www.ssrn.com/abstract=2520345

Yang X. Does city lockdown prevent the spread of COVID-19? New evidence from the synthetic control method. glob health res policy. 2021;6(1):20.

Article  PubMed  PubMed Central  Google Scholar 

Mader S, Rüttenauer T. The effects of non-pharmaceutical interventions on COVID-19 mortality: a generalized synthetic control approach across 169 countries. Front Public Health. 2022;4(10): 820642.

Article  Google Scholar 

Lang D, Esbenshade L, Willer R. Did Ohio’s vaccine lottery increase vaccination rates? A pre-registered, synthetic control study. J Exp Polit Sci. 2023;10(2):242–60.

Article  Google Scholar 

Cole MA, Elliott RJR, Liu B. The impact of the Wuhan Covid-19 lockdown on air pollution and health: a machine learning and augmented synthetic control approach. Environ Resource Econ. 2020;76(4):553–80.

Article  Google Scholar 

Bruhn CAW, Hetterich S, Schuck-Paim C, Kürüm E, Taylor RJ, Lustig R, et al. Estimating the population-level impact of vaccines using synthetic controls. Proc Natl Acad Sci USA. 2017;114(7):1524–9.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Buggs SA, Webster DW, Crifasi CK. Using synthetic control methodology to estimate effects of a Cure Violence intervention in Baltimore. Maryland Inj Prev. 2022;28(1):61–7.

Article  PubMed  Google Scholar 

Abadie A. Using synthetic controls: feasibility, data requirements, and methodological aspects. Journal of Economic Literature. 2021;59(2):391–425. This work provides an overview of the synthetic control method, its extensions, and related methods, as well as its strengths and limitations.

Article  Google Scholar 

HIV recency testing adopted as key component of HIV testing in Eswatini. ICAP News & Events [Internet]. 2022 Jan 21; Available from: https://icap.columbia.edu/news-events/hiv-recency-testing-adopted-as-key-component-of-hiv-testing-in-eswatini/

Kim AA, Behel S, Northbrook S, Parekh BS. Tracking with recency assays to control the epidemic: real-time HIV surveillance and public health response. AIDS. 2019;33(9):1527–9.

Article  PubMed  Google Scholar 

Abadie A, Diamond A, Hainmueller J. Comparative politics and the synthetic control method: comparative politics and the synthetic control method. American Journal of Political Science. 2015;59(2):495–510.

Article  Google Scholar 

Hainmueller J. Entropy balancing for causal effects: a multivariate reweighting method to produce balanced samples in observational studies. Polit anal. 2012;20(1):25–46.

Article  Google Scholar 

Robbins MW, Saunders J, Kilmer B. A Framework for synthetic control methods with high-dimensional, micro-level data: evaluating a neighborhood-specific crime intervention. J Am Stat Assoc. 2017;112(517):109–26.

Article  MathSciNet  CAS  Google Scholar 

Ben-Michael E, Feller A, Rothstein J. Synthetic controls with staggered adoption. Journal of the Royal Statistical Society Series B: Statistical Methodology. 2022;84(2):351–81. This article provides an overview of how to use the synthetic control method with staggered adoption units and provides an example of its use.

Article  MathSciNet  Google Scholar 

Abadie A, Diamond A, Hainmueller J. Synth: An R package for synthetic control methods in comparative case studies. J Stat Soft [Internet]. 2011 [cited 2023 Oct 11];42(13). Available from: http://www.jstatsoft.org/v42/i13/

Bogard M. R code from an R package for synthetic control methods in comparative case studies. [Internet]. BioSciEconomist. 2019. Available from: https://gist.github.com/BioSciEconomist/de89cb79970cd13e0d6adb69396b4190

Ben-Michael E. augsynth: The augmented synthetic control method. [Internet]. 2021. Available from: https://github.com/ebenmichael/augsynth/blob/master/vignettes/singlesynth-vignette.md

Wiltshire JC. allsynth: (Stacked) synthetic control bias-correction utilities for Stata. [Internet]. 2022. Available from: https://justinwiltshire.com/allsynth-stacked-synthetic-control-biascorrection-utilities-for-stata

Ben-Michael E, Feller A, Rothstein J. The augmented synthetic control method. Journal of the American Statistical Association. 2021;116(536):1789–803. This article provides an overview of the augmented synthetic control extension of the synthetic control method and illustrates an example of its use.

Article  MathSciNet  CAS  Google Scholar 

Lipsitch M, TchetgenTchetgen E, Cohen T. Negative controls: a tool for detecting confounding and bias in observational studies. Epidemiology. 2010;21(3):383–8.

Article  PubMed  PubMed Central  Google Scholar 

Agence France Presse. eSwatini youth stage rare rural protest against monarchy. News 24 [Internet]. 2021 Jun 20; Available from: https://www.news24.com/news24/africa/news/eswatini-youth-stage-rare-rural-protest-against-monarchy-20210620

Masuku L. Anti-monarchy protests in African kingdom eSwatini turn violent. Reuters [Internet]. 2021 Jun 29; Available from: https://www.reuters.com/world/africa/anti-monarchy-protests-african-kingdom-eswatini-turn-violent-2021-06-29/

Magome M. Eswatini imposes curfew to quell pro-democracy protests. The Associated Press [Internet]. 2021 Jun 29; Available from: https://apnews.com/article/africa-southern-africa-democracy-d0660fe7e44d0719d4f41ba136d79679

Wing C, Simon K, Bello-Gomez RA. Designing difference in difference studies: best practices for public health policy research. Annu Rev Public Health. 2018;39(1):453–69.

Article  PubMed  Google Scholar 

Shi C, Sridhar D, Misra V, Blei DM. On the assumptions of synthetic control methods. [Internet]. arXiv; 2021 [cited 2024 Feb 23]. Available from: http://arxiv.org/abs/2112.05671

Hollingsworth A, Wing C. Tactics for design and inference in synthetic control studies: an applied example using high-dimensional data. SSRN Journal [Internet]. 2020 [cited 2024 Feb 22]; Available from: https://www.ssrn.com/abstract=3592088

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