Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

Submitted: 20 June 2022
Accepted: 23 October 2022
Published: 29 November 2022
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We intend to tackle two under-addressed issues in access to healthcare services during the COVID-19 pandemic: first, the spatiotemporal dynamic of access during the pandemic of acute communicable disease; second, the demographic and socioeconomic access disparities. We used the two-step floating catchment area (2SFCA) method to measure the spatial access to public hospitals during the second COVID-19 wave (September 28th-February 28th, 2021) in Nottinghamshire, UK. To investigate the temporal variation in access along with the development of the pandemic, we divided our study period into 11 sections and applied the 2SFCA to each of them. The results indicate that western Nottinghamshire is better than the eastern part from a spatial perspective and the north-western urban area represents the highest spatial access; temporally, the accessibility of the public hospitals generally decreased when the number of cases increased. Particular low accessibility was observed at the beginning of the pandemic when the outbreak hit the university region and its vicinities during the back-to-school season. Our disparity analysis found that i) the access of the senior population to public hospitals deviated from that of the general population, ii) the access was positively associated with socioeconomic status, and iii) all disparities were related to the urban-rural discrepancy. These findings can help to plan temporary clinics or hospitals during epidemic emergencies. More generally, they provide scientific support to pandemic-related healthcare resource allocation and policy- making, particularly for people in vulnerable areas.

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Citations

British Foreign Policy Group (BFPG), 2021. COVID-19 Timeline. Available at: https://bfpg.co.uk/2020/04/covid-19-timeline/
Delamater PL, 2013. Spatial accessibility in suboptimally configured health care systems: a modified two-step floating catchment area (M2SFCA) metric. Health Place 24:30-43. DOI: https://doi.org/10.1016/j.healthplace.2013.07.012
Donohoe J, Marshall V, Tan X, Camacho FT, Anderson R, Balkrishnan R, 2016. Evaluating and comparing methods for measuring spatial access to mammography centers in Appalachia. Health Serv Outcomes Res Methodol 16:22-40. DOI: https://doi.org/10.1007/s10742-016-0143-y
Doyle Y, Bull A, 2000. Role of private sector in United Kingdom healthcare system. Br Med J 321:563-5. DOI: https://doi.org/10.1136/bmj.321.7260.563
Ghorbanzadeh M, Kim K, Erman Ozguven E, Horner MW, 2021. Spatial accessibility assessment of COVID-19 patients to healthcare facilities: A case study of Florida. Travel Behav Soc 24:95-101. DOI: https://doi.org/10.1016/j.tbs.2021.03.004
Heath S, 2021. What is the social vulnerability index, how does it measure SDOH? Patient engagement hit. Available at: https://patientengagementhit.com/news/what-is-the-social-vulnerability-index-how-does-it-measure-sdoh
House of Commons Library, 2021. Coronavirus: Economic impact. Available at: https://commonslibrary.parliament.uk/research-briefings/cbp-8866/
Iyengar KP, Ish P, Botchu R, Jain VK, Vaishya R, 2021. Influence of the Peltzman effect on the recurrent COVID-19 waves in Europe. Postgrad Med J 98:e110-e111. DOI: https://doi.org/10.1136/postgradmedj-2021-140234
Kang JY, Michels A, Lyu F, Wang S, Agbodo N, Freeman VL, Wang S, 2020. Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. Int J Health Geogr 19:36. DOI: https://doi.org/10.1186/s12942-020-00229-x
Kiani B, Bagheri N, Tara A, Hoseini B, Hashtarkhani S, Tara M, 2018. Comparing potential spatial access with self-reported travel times and cost analysis to haemodialysis facilities in North-eastern Iran. Geospat Health 13:703. DOI: https://doi.org/10.4081/gh.2018.703
Lopez PJ, Neely AH, 2021. Fundamentally uncaring: The differential multi-scalar impacts of COVID-19 in the US. Soc Sci Med 272:113707. DOI: https://doi.org/10.1016/j.socscimed.2021.113707
Luo W, Qi Y, 2009. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health Place 15:1100-7. DOI: https://doi.org/10.1016/j.healthplace.2009.06.002
Luo W, Wang F, 2003. Measures of spatial accessibility to healthcare in a GIS environment: synthesis and a case study in Chicago region. Environ Plann B Plann Des 30:865-884. DOI: https://doi.org/10.1068/b29120
Mbunge E, Akinnuwesi B, Fashoto SG, Metfula AS,Mashwama P, 2021. A critical review of emerging technologies for tackling COVID-19 pandemic. Hum Behav Emerg 3:25-39. DOI: https://doi.org/10.1002/hbe2.237
Mohammadi A, Mollalo A, Bergquist R, Kiani B, 2021. Measuring COVID-19 vaccination coverage: an enhanced age-adjusted two-step floating catchment area model. Infect Dis Poverty 10-118. DOI: https://doi.org/10.1186/s40249-021-00904-6
Mollalo A, Mohammadi A, Mavaddati S, Kiani B, 2021. Spatial analysis of COVID-19 vaccination: a scoping REVIEW. Int J Environ Res Public Health 18:12024. DOI: https://doi.org/10.3390/ijerph182212024
National Health Service, 2022. Primary Care. Available at: https://notts.icb.nhs.uk/your-health/primary-care/
Nottinghamshire Council website, No Date. What do we do [Online]. Available at: https://www.nottinghamshire.gov.uk/jobs-and-working/working-for-us/about-us/what-do-we-do
Nottinghamshire County Council, 2021. Context: Nottinghamshire in 2021. Available at: https://plan.nottinghamshire.gov.uk/background/context-nottinghamshire-in-2021/
Payne R, Abel G, 2012. UK indices of multiple deprivation - A way to make comparisons across constituent countries easier. Health Stat Q 53.
Raeesi A, Kiani B, Hesami A, Goshayeshi L, Firouraghi N, Mohammad Ebrahimi S, Hashtarkhani S, 2022. Access to the COVID-19 services during the pandemic - a scoping review. Geospat Health 17:1079. DOI: https://doi.org/10.4081/gh.2022.1079
Shi X, Alford-Teaster J, Onega T, Wang D, 2012. Spatial access and local demand for major cancer care facilities in the United States. Assoc Geogr 102:1125-1134. DOI: https://doi.org/10.1080/00045608.2012.657498
Tao R, Downs J, Beckie TM, Chen Y, Mcnelley W, 2020. Examining spatial accessibility to COVID-19 testing sites in Florida. Annals of GIS 26:319-327. DOI: https://doi.org/10.1080/19475683.2020.1833365
The Medical Portal, 2021. Structure of the NHS. Available at: https://www.themedicportal.com/application-guide/the-nhs/structure-of-the-nhs/
The King’s Fund, 2014. The UK private health market. Available at: https://www.kingsfund.org.uk/sites/default/files/media/commission-appendix-uk-private-health-market.pdf
UK government website, 2022. Coronavirus (COVID-19) in the UK. Available at: https://coronavirus.data.gov.uk/details/cases
Wan N, Zou B, Sternberg T, 2012. A three-step floating catchment area method for analysing spatial access to health services. Int J Geogr Inf Sci 26:1073-1089. DOI: https://doi.org/10.1080/13658816.2011.624987
Wang F, Luo W, 2005. Assessing spatial and nonspatial factors for healthcare access: towards an integrated approach to defining health professional shortage areas. Health Place 11:131-46. DOI: https://doi.org/10.1016/j.healthplace.2004.02.003
Wang F, 2017. Inverted two-step floating catchment area method for measuring facility crowdedness. Prof Geogr 70:251-260. DOI: https://doi.org/10.1080/00330124.2017.1365308
Wang F, 2021. From 2SFCA to i2SFCA: integration, derivation and validation. Int J Geogr Inf Sci 35:628-638. DOI: https://doi.org/10.1080/13658816.2020.1811868
Watson V, Dibben C, Cox M, Atherton I, Sutton M, Ryan M, 2019. Testing the expert based weights used in the UK’s index of multiple deprivation (IMD) against three preference-based methods. Soc Indic Res 144:1055-1074. DOI: https://doi.org/10.1007/s11205-018-02054-z
World Health Organisation (WHO), 2022. WHO Coronavirus (COVID-19) Dashboard. Available at: https://covid19.who.int/
Yao J, Murray AT, Agadjanian V, 2013. A geographical perspective on access to sexual and reproductive health care for women in rural Africa. Soc Sci Med 96:60-8. DOI: https://doi.org/10.1016/j.socscimed.2013.07.025
Zhang J, Wang M, Zhao M, Guo S, Xu Y, Ye J, Ding W, Wang Z, Ye D, Pan W, Liu M, Li D, Luo Z, Liu J, Wan J, 2020. The clinical characteristics and prognosis factors of mild-moderate patients with COVID-19 in a mobile cabin hospital: A retrospective, single-center study. Front Public Health, 8:264. DOI: https://doi.org/10.3389/fpubh.2020.00264

How to Cite

Zhang, J., & Li, M. (2022). Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK. Geospatial Health, 17(2). https://doi.org/10.4081/gh.2022.1123