IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v9y2022i1d10.1057_s41599-022-01405-z.html
   My bibliography  Save this article

The system-wide effects of dispatch, response and operational performance on emergency medical services during Covid-19

Author

Listed:
  • Ivan L. Pitt

    (Independent Academic)

Abstract

In this paper, we analyze the Fire Department of New York City’s pre-hospital emergency medical services dispatch data for the period of March 20, 2019–June 13, 2019, and the corresponding Covid lockdown period of March 20, 2020–June 13, 2020. A fixed effects negative binomial model is used to estimate the heterogeneity effects of average ambulance travel or response times on the daily volume of emergency calls, year, day of the week, dispatcher-assigned medical emergency call type, priority rank, ambulance crew response, borough and an offset for missing calls. We also address the limitations of other non-parametric Covid studies or parametric studies that did not properly account for over-dispersion. When our model is estimated and corrected for clustered standard errors, fixed effects, and over-dispersion, we found that Wednesday was the only day of the week that was most likely to increase travel response time with an odd ratio of 6.91%. All grouped call types that were categorized showed significant declines in average travel time, except for call types designated as allergy and an odds ratio of 21.81%. When compared to Manhattan, Staten Island ambulance response times increased with an odds ratio of 19.05% while the Bronx showed a significant decline with an odds ratio of 31.92% advanced life support (ALS) and BLS ambulances showed the biggest declines in travel time with the exception of BLS assigned ambulance types and emergency priority rank of 6. Surprisingly, in terms of capacity utilization, the dispatch system was not as overwhelmed as previously predicted as emergency call volume declined by 8.83% year over year.

Suggested Citation

  • Ivan L. Pitt, 2022. "The system-wide effects of dispatch, response and operational performance on emergency medical services during Covid-19," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01405-z
    DOI: 10.1057/s41599-022-01405-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-022-01405-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-022-01405-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    2. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    3. Ivan L. Pitt, 2021. "Life cycle effects of technology on revenue in the music recording industry 1973–2017," SN Business & Economics, Springer, vol. 1(1), pages 1-29, January.
    4. Armann Ingolfsson, 2013. "EMS Planning and Management," International Series in Operations Research & Management Science, in: Gregory S. Zaric (ed.), Operations Research and Health Care Policy, edition 127, chapter 0, pages 105-128, Springer.
    5. Engle, Robert F., 1984. "Wald, likelihood ratio, and Lagrange multiplier tests in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 13, pages 775-826, Elsevier.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    7. Ioannidis, John P.A. & Cripps, Sally & Tanner, Martin A., 2022. "Forecasting for COVID-19 has failed," International Journal of Forecasting, Elsevier, vol. 38(2), pages 423-438.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Federico Belotti & Edoardo Di Porto & Gianluca Santoni, 2021. "The effect of local taxes on firm performance: Evidence from geo‐referenced data," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 492-510, March.
    2. Pardesi, Mantej, 2024. "Productivity convergence and firm’s training strategy," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    3. Ang, James B. & Gupta, Satyendra Kumar, 2018. "Agricultural yield and conflict," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 397-417.
    4. Woutersen, Tiemen & Hausman, Jerry A., 2019. "Increasing the power of specification tests," Journal of Econometrics, Elsevier, vol. 211(1), pages 166-175.
    5. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    6. Benjamin L. Collier & Andrew F. Haughwout & Howard C. Kunreuther & Erwann O. Michel‐Kerjan, 2020. "Firms’ Management of Infrequent Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(6), pages 1329-1359, September.
    7. Ahn, Soojung & Steinbach, Sandro, 2022. "COVID-19 Trade Actions and Their Impact on the Agricultural and Food Sector," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316789, Agricultural and Applied Economics Association.
    8. Brox, Enzo & Krieger, Tommy, 2022. "Birthplace diversity and team performance," Labour Economics, Elsevier, vol. 79(C).
    9. Emanuele Ciani & Claudio Deiana, 2018. "No free lunch, buddy: past housing transfers and informal care later in life," Review of Economics of the Household, Springer, vol. 16(4), pages 971-1001, December.
    10. Cuicui Lu & Weining Wang & Jeffrey M. Wooldridge, 2018. "Using generalized estimating equations to estimate nonlinear models with spatial data," Papers 1810.05855, arXiv.org.
    11. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    12. Jushan Bai & Sung Hoon Choi & Yuan Liao, 2021. "Feasible generalized least squares for panel data with cross-sectional and serial correlations," Empirical Economics, Springer, vol. 60(1), pages 309-326, January.
    13. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    14. Songsermsawas, Tisorn & Kafle, Kashi & Winters, Paul, 2021. "Decomposing the Impacts of an Agricultural Value Chain Investment by Gender and Ethnicity: The case of Nepal," 2021 Conference, August 17-31, 2021, Virtual 315047, International Association of Agricultural Economists.
    15. Hauk, Esther & Oviedo, Mónica & Ramos, Xavier, 2022. "Perception of corruption and public support for redistribution in Latin America," European Journal of Political Economy, Elsevier, vol. 74(C).
    16. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2018. "Effects of Market Structure and Patient Choice on Hospital Quality for Planned Patients," School of Economics Discussion Papers 1118, School of Economics, University of Surrey.
    17. Yang, Xiaojun & Xu, Jintao & Xu, Xiaojie & Yi, Yuanyuan & Hyde, William F., 2020. "Collective forest tenure reform and household energy consumption: A case study in Yunnan Province, China," China Economic Review, Elsevier, vol. 60(C).
    18. Seonho Shin, 2021. "Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach," Empirical Economics, Springer, vol. 61(5), pages 2827-2864, November.
    19. Valentin Verdier, 2020. "Estimation and Inference for Linear Models with Two-Way Fixed Effects and Sparsely Matched Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 1-16, March.
    20. Ogilvie, Sheilagh & Klein, Alexander, 2017. "Was Domar Right? Serfdom and Factor Endowments in Bohemia," CEPR Discussion Papers 12388, C.E.P.R. Discussion Papers.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01405-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.