Using electronic registries to study the COVID-19 pandemic and its consequences

Maryna Puhachova; Oleksandr Gladun

doi:https://doi.org/10.59170/stattrans-2023-015

Using electronic registries to study the COVID-19 pandemic and its consequences

Maryna Puhachova Ptoukha Institute for Demography and Social Studies of the National Academy of Sciences of Ukraine, Kyiv, Ukraine. ORCID:http://orcid.org/0000-0003-1680-4284 , Oleksandr Gladun Ptoukha Institute for Demography and Social Studies of the National Academy of Sciences of Ukraine, Kyiv, Ukraine. ORCID:http://orcid.org/0000-0001-6354-6180 Statistics in Transition new series, vol. 24, 2023, 1, pages: 277-294 Published online: 24 February 2023 https://doi.org/10.59170/stattrans-2023-015

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ARTICLE

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ABSTRACT

The article analyses systems of electronic information resources (registers and databases) in the field of the healthcare in different countries. Not only do such systems provide information to support the treatment of patients, but they also accumulate large amounts of statistics, thus enabling their qualitative operational analysis. Electronic health systems are particularly popular in the United States, and as regards Europe, in Denmark and Norway. These countries created good conditions for the efficient introduction of new electronic information resources that would store all the accumulated information about the COVID- 19 pandemic. The aim of the article is to summarise information on the use of electronic registers and databases to create an information base for the study of the COVID-19 pandemic and its consequences in different countries, and to formulate proposals for the improvement of electronic health systems in Ukraine. On the basis of the results of their research, the authors propose a list of electronic registers that can significantly improve the analysis of both the course and the consequences of the coronavirus disease. The list includes: the register of immunisations, a specialised register of complications after the recovery from COVID-19, a register of tests for the presence of this disease or the recovery, etc., as well as a register of hospitalisation cases.

KEYWORDS

COVID-19 pandemic, system of electronic information resources, registers and databases of the healthcare system, electronic health records.

REFERENCES

AbouZahr, C., Bratschi, M. W., Cercone, E., Mangharam, A., de Savigny, D. and Dincu, I. et al., (2021). The COVID-19 Pandemic: Effects on Civil Registration of Births and Deaths and on Availability and Utility of Vital Events Data. American Journal of Public Health. Retrieved from: https://ajph.aphapublications.org/doi/abs/10.2105/AJPH.2021.306203.

ACCESS template protocol for safety of COVID-19 vaccines. (2021). European Network of Centers for Pharmacoepidemiology and Pharmacovigilance. Retrieved from: https://www.encepp.eu/encepp/viewResource.htm?id=39362.

Ashley, L., (2020). The tsunami of data and the hard pivot to remote work and home school has stretched government information management capabilities to their limits. Nextgov. Retrieved from: https://www.nextgov.com/ideas/2020/08/covid- 19-threat-or-opportunity-electronic-government-records-capture-access-andpreservation/ 167432/.

Brown, J. S., Bastarache, L.andWeiner, M. G., (2021). Aggregating Electronic Health Record Data for COVID-19 Research – Caveat Emptor. JAMA Network Open, 4 (7):e2117175. doi: 10.1001/jamanetworkopen.2021.17175.

COVID-19 Electronic Case Reporting for Healthcare Providers. (2021). Centers for Disease Control and Prevention. Retrieved from: https://www.cdc.gov/coronavirus/2019-ncov/hcp/electronic-case-reporting.html.

COVID-19 Registration System. (2022). University Greifswald. University Computer Centre. Retrieved from: https://rz.uni-greifswald.de/en/services/study-teaching/elearning/covidregister/.

COVID Safe check-in. (2022). NSW Government. Retrieved from https://www.service.nsw.gov.au/transaction/covid-safe-check.

COVID-19 Trials Registries. (2022). ECRIN – European Clinical Research Infrastructure Network. Retrieved from: https://ecrin.org/covid-19-trials-registries.

Danish Registers, (2021). The National Centre for Register Based Research. econ.au.dk. Retrieved from: https://econ.au.dk/the-national-centre-for-register-basedresearch/ danish-registers/.

Database reporting, (2021). Finnish Institute for Health and Welfare. thl.fi. Retrieved from https://thl.fi/en/web/thlfi-en/statistics-and-data/statistics-by-topic/databasereporting# Primary_care.

Electronic Health Records (EHR) and Interoperability: Understanding two key concepts for a better Public Health response, (2021). Pan American Health Organization. Retrieved from: https://iris.paho.org/handle/10665.2/52003.

Electronic health care system in Ukraine, (2022). ehealth.gov.ua. Retrieved from https://ehealth.gov.ua/.

Emergency preparedness during COVID-19, (2021). Socialstyrelsen. Retrieved from: https://www.socialstyrelsen.se/en/.

Estiri, H., Strasser, Z. H., Klann, J. G., Naseri, P., Wagholikar, K. B. and Murphy, Sh. N., (2021). Predicting COVID-19 mortality with electronic medical records. NPJ

Digital Medicine, 4, 15. Retrieved from: https://doi.org/10.1038/s41746-021-00383-x

Gladun, O. M., Puhachova, M. V. and Vynogradova, M. V., (2021). Electronic registers: European experience of establishment and use. Kyiv: IDSS. Retrieved from: https://idss.org.ua/arhiv/registers.pdf [in Ukrainian].

Health Registers, (2021). NIPH-Norwegian Institute of Public Health. Retrieved from: https://www.fhi.no/en/hn/health-registries/

Kayumova, M. and Meunier, F., (2021). Digitizing business registries. World Bank blogs. Retrieved from: https://blogs.worldbank.org/developmenttalk/digitizingbusiness- registries.

Lindman, A. E. S., (2021). Emergency preparedness register for COVID-19 (Beredt C19). Norwegian Institute of Public Health. Retrieved from: https://www.fhi.no/en/id/infectious-diseases/coronavirus/emergencypreparedness- register-for-covid-19/.

Madhavan, S., Bastarache, L., Brown, J. S., Butte, A. J. et al, (2021). Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers. Journal of the American Medical Informatics Association, 15, 28(2), 393–401. doi: 10.1093/jamia/ocaa287.

Popperl, S., Weiner, L. and King, N., (2021). Electronic Health Records May Be Delaying COVID-19 Vaccinations. NPR – National Public Radio. Retrieved from: https://www.npr.org/sections/coronavirus-liveupdates/ 2021/02/10/966279323/electronic-health-records-may-be-delayingcovid- 19-vaccinations.

Producten en diensten, (2021). Ministerie van Volksgezondheid, Welzijn en Sport. www.cibg.nl. Retrieved from: https://www.cibg.nl/producten-en-diensten [in Dutch].

Puhachova, M. V., (2021). Organization and functioning of electronic registers of health care systems of Northern European countries and Ukraine. Proceeding from Modern statistics: problems and prospects of development: XIX International Scientific and Practical Conference.(pp. 29–33). Kyiv: NASOA. Retrieved from: http://194.44.12.92:8080/jspui/handle/123456789/6165 [in Ukrainian].

Puhachova, M. V., Gladun, O. M., (2021). Registers of Healthcare Systems of Northen European Countries. Demography and social economy, 4 (46), 21–37. Retrieved from: https://doi.org/10.15407/dse2021.04.021 [in Ukrainian].

Registre. eSundhed, (2021). Retrieved from: https://www.esundhed.dk/Registre/ [in Danish].

Satterfield, B. A., Dikilitas, O. and Kullo, I. J., (2021). Leveraging the Electronic Health Record to Address the COVID-19 Pandemic. Mayo Clinic Proceedings, Vol. 96, Issue 6, pp. 1592–1608. Retrieved from: https://doi.org/10.1016/j.mayocp.2021.04.008.

Schwab, P., Mehrjou, A., Parbhoo, S., Celi, L. A., Hetzel, J. and Hofer, M. et al, (2021). Real-time prediction of COVID-19 related mortality using electronic health records. Nature Communications,12, 1058. Retrieved from: https://doi.org/10.1038/s41467-020-20816-7.

Sim, J. X. Y., Conceicao, E. P., Wee, L. E., Gan, W. H., Ling, M. L. and Venkatachalam, I. et al, (2021). Utilizing the electronic health records to create a syndromic staff surveillance system during the COVID-19 outbreak. American Journal of Infection Control, Vol. 49, Issue 6, pp. 685–689. Retrieved from: https://doi.org/10.1016/j.ajic.2020.11.003.

Slone, S., (2020). COVID-19 Pandemic Demonstrates Need for Electronic Health Record Interoperability. (2020). The Council of State Governments. Retrieved from: https://web.csg.org/covid19/2020/04/24/covid-19-pandemic-demonstrates-needfor- electronic-health-record-interoperability/.

Stanley, B., Davis, A., Jones, R., Julious, S., Ryan, D., Jackson, D. et al, (2021) Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information. PLoS ONE, 16 (10): e0258689. Retrieved from: https://doi.org/10.1371/journal.pone.0258689.

Sudat, S. E. K., Robinson, S. C., Mudiganti, S., Mani, A. and Pressman, A. R., (2021). Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response. Journal of Biomedical Informatics, Vol. 116. Retrieved from: https://doi.org/10.1016/j.jbi.2021.103715.

Uleriigiline digiregistratuur kaivitub joudsasti, (2021). TEHIK. Retrieved from: https://www.tehik.ee/uudis/uleriigiline-digiregistratuur-kaivitub-joudsasti [in Estonian].

Wang, Q. Q., Xu, R. and Volkow, N. D., (2021). Increased risk of COVID-19 infection and mortality in people with mental disorders: analysis from electronic health records in the United States. World Psychiatry, Vol. 20, Issue 1, pp. 124–130. Retrieved from: https://doi.org/10.1002/wps.20806.

Williamson, E., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, Ch. and Morton, C. E. et al., (2020). OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients. medRxiv. Retrieved from: https://doi.org/10.1101/2020.05.06.20092999.