Volunteering and operational efficiency in emergency services: Evidence from the Military Fire Brigade of Santa Catarina
DOI:
https://doi.org/10.5007/2175-8085.2025.e112532Keywords:
volunteering , causal inference, emergency services , response time , firefightersAbstract
We investigate whether the presence of volunteers increases the operational efficiency of prehospital care provided by the Military Fire Brigade of Santa Catarina in contexts of simultaneous calls. The analysis focuses on two central intervals of the response process: mobilization time, defined as the period between dispatch and vehicle departure, and on-scene care time, corresponding to the interval between arrival at the scene and the conclusion of assistance. We use administrative microdata from E-193, extracting medical emergency occurrences with ambulance transport recorded between January 2023 and June 2025. After applying simultaneity and plausibility filters, the samples comprise 3,046 occurrences for the mobilization stage and 3,475 for the care stage. The empirical strategy is based on the potential outcomes framework and estimates the average treatment effect on the treated through balancing methods combined with generalized linear models. The results show that the volunteerism required to enable dispatch reduces mobilization time by a small but statistically robust margin, with magnitudes ranging from approximately 12 to 57 seconds, with the most conservative estimates concentrated around 12 to 14 seconds. This effect should not be interpreted as negligible, since in time-sensitive prehospital care, even short reductions can be operationally relevant and, in certain contexts, potentially clinically important. The presence of an additional volunteer on scene reduces care time by approximately 3 to 7 minutes. Together, the findings indicate that volunteerism does not replace professional staff but complements the permanent structure by increasing the system's response capacity in situations of higher demand pressure.
References
ALRAWASHDEH, M. et al. Association between emergency medical service response time and mortality. Medicina, 2021.
ANGRIST, J.; PISCHKE, J.-S. Mostly Harmless Econometrics. Princeton: Princeton University Press, 2009.
AUSTIN, P. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 2009.
BRUECKNER, J. Congested public goods: the case of fire protection. Journal of Public Economics, 1981.
CORPO DE BOMBEIROS MILITAR DE SANTA CATARINA. Regulamento Geral do Serviço Comunitário. Florianópolis, 2015.
GREENE, W. Econometric Analysis. 7. ed. Boston: Pearson, 2012.
HAINMUELLER, Jens. Entropy balancing for causal effects: a multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, Oxford University Press, v. 20, n. 1, p. 25–46, 2012.
HE, Y.; DING, Y.; YANG, S. Spatial and temporal determinants of emergency response speed. Fire Technology, 2024.
HOLMES, T.; CALKIN, D. Econometric analysis of fire suppression production functions for large wildland fires. International Journal of Wildland Fire, 2013.
IMBENS, G.; RUBIN, D. Causal Inference for Statistics, Social, and Biomedical Sciences. Cambridge: Cambridge University Press, 2015.
IMAI, K.; RATKOVIC, M. Covariate Balancing Propensity Score. Journal of the Royal Statistical Society: Series B, 2014.
INSTITUTE OF MEDICINE. Emergency Medical Services: At the Crossroads. Washington, D.C.: National Academies Press, 2007.
LUDWIG, C. et al. Impacto do tempo de resposta no atendimento pré-hospitalar: análise de sobrevivência em serviços de urgência no Brasil. Revista de Saúde Pública, 2025.
MCCULLAGH, P.; NELDER, J. Generalized Linear Models. 2. ed. London: Chapman and Hall, 1989.
MUSSO, J.; YOUNG, M.; THOM, M. Volunteer coproduction and public safety. Public Management Review, 2018.
NABATCHI, T.; SANCINO, A.; SICILIA, M. Varieties of participation in public services: the who, when, and what of coproduction. Public Administration Review, 2017.
NATIONAL FIRE PROTECTION ASSOCIATION. NFPA 1710. Quincy, MA, 2020.
NATIONAL FIRE PROTECTION ASSOCIATION. NFPA 1720. Quincy, MA, 2010.
NATIONAL FIRE PROTECTION ASSOCIATION; NATIONAL VOLUNTEER FIRE COUNCIL. U.S. Fire Department Profile; Volunteer Fire Service Fact Sheet. Quincy, MA, 2022.
NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY. Report on Residential Fireground Field Experiments. Gaithersburg, MD, 2010.
PARK, H. S.; KWON, S. A.; AZAM, M. GIS-based spatial analysis of emergency response for disaster management. Heliyon, 2024.
PETTERINI, F. C.; DEMARCHI, M. P. Volunteering and firefighters’ response time. Economics Bulletin, 2019.
SAMUELSON, P. The pure theory of public expenditure. Review of Economics and Statistics, 1954.
SONG, W.; KWAN, M.-P.; ZHU, J. Geographically weighted models of fire risk. Applied Geography, 2017.
TAYLOR, B. Statistical modelling of fire service response times. Journal of the Royal Statistical Society, 2015.
UPSON, J.; NOTARIANNI, K. Turnout time performance in fire stations. Fire Technology, 2012.
WOOLDRIDGE, J. Econometric Analysis of Cross Section and Panel Data. 2. ed. Cambridge: MIT Press, 2010.
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