Analyzing the effective healthcare management model for a COVID-19 pandemic
A suggestive study
Keywords:
healthcare management, COVID-19 pandemic, suggestive studyAbstract
COVID-19's global pandemic created a situation in which healthcare resources such as diagnostic kits, medications, and basic healthcare infrastructure were in short supply throughout the period, resulting in a detrimental impact on the socio-economic system. In a pandemic crisis, standardized public healthcare models were lacking, spanning everything from hospitalized patient care to local resident healthcare management in terms of monitoring, assessment, diagnosis, and medicines. The goal of this exploratory and intervention-based study is to propose a COVID-19 Care Management Model that represents complete care for society, encompassing patients (with COVID-19 and other disorders) and healthy people, within an integrated framework of healthier management. Better COVID-19 preventive and care outcomes can be achieved by shifting policies toward technology-oriented models with well-aligned infrastructure. The planned development of technical healthcare models for prognosis and improved treatment outcomes that consider not only genomics, proteomics, nanotechnology, and materials science perspectives, but also the potential contribution of advanced digital technologies, is one of the best strategies for early diagnosis and infection control.
Downloads
References
Bloom David E, Cadarette Daniel. Infectious disease threats in the twenty-first century: strengthening the global response. Front Immunol 2019;10:549.
Nicola Maria, Alsafi Zaid, Sohrabi Catrin, Kerwan Ahmed, Al-Jabir Ahmed, Iosifidis Christos, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): a review. Int J Surg 2020;78(June):185–93.
Hadil Alahdal, Fatemah Basingab, Reem Alotaibi. An analytical study on the awareness, attitude and practice during the COVID-19 pandemic in Riyadh, Saudi Arabia. https://doi.org/10.1016/j.jiph.2020.06.015.
Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci 2020;16(10):1745–52, http://dx.doi.org/10.7150/ijbs.45221.
Fegert JM, Vitiello B, Plener PL, Clemens V, et al. Challenges and burden of the coronavirus 2019 (COVID-19) pandemic for child and adolescent mental health: a narrative review to highlight clinical and research needs in the acute phase and the long return to normality. Child Adolesc Psychiatry Ment Health 2020;14:20, http://dx.doi.org/10.1186/s13034-020-00329-3.
Mishra A, Patra S, Shukla SK, Pandey P, Shukla Y, Osmera P, et al. Current sce- nario of coronavirus pandemic. Adv Mater Lett 2020;11(4):20041494, http:// dx.doi.org/10.5185/amlett.2020.041494.
COVID-19 Databases and Journals: https://www.cdc.gov/library/ researchguides/2019novelcoronavirus/databasesjournals.html.
Freely available COVID-19 resources:https://library.maastrichtuniversity.nl/ collections/databases/free-access-to-resources-during-the-covid-19/.
COVID research updates: https://www.nature.com/articles/d41586-020- 00502-w.
Vaccines and treatment of COVID-19: https://www.ecdc.europa.eu/en/covid- 19/latest-evidence/vaccines-and-treatment.
World Health Organisation (WHO), Available from: Clinical management of COVID-19. Interim guidance. WHO; 2020 https://www.who.int/publications/i/ item/clinical-management-ofcovid-19.
WHO World Malaria Report 2014, http://www.who.int/malaria/publications/ world malaria report 2014/wmr-2014-foreword.
Basumallic S, Guru Row TN. Binding study of cis atovaquone with cytochrome bc1 of yeast. Comput Mol Biosci 2015;5:57–63.
J.Vincent M, Bergeron E, Benjannet S, Erickson B, Rollin P, Ksiazek T, et al. Chloro- quinine is a potent inhibitor of SARS chrona virous infection and itsspread. Virol J 2005;2:69–79.
https://www.who.int/malaria/areas/test treat track/en/.
Njim T, Tanyitiku BS. Prognostic models for the clinical management of malaria and its complications: a systematic review. BMJ Open 2019;9(11):e030793, http://dx.doi.org/10.1136/bmjopen-2019-030793. Published 2019 November 26.
Vlahov D, Graham N, Hoover D, Flynn C, Bartlett JG, Margolick JB, et al. Prognos- tic indicators for AIDS and infectious disease death in HIV-infected injection drug users: plasma viral load and CD4+ cell count. JAMA 1998;279(January (1)):35–40, http://dx.doi.org/10.1001/jama.279.1.35. PMID: 9424041.
Ross JM, Ying R, Celum CL, Baeten JM, Thomas KK, Murnane PM, et al. Modeling HIV disease progression and transmission at population-level: the potential impact of modifying disease progression in HIV treatment programs. Epidemics 2018;23:34–41, http://dx.doi.org/10.1016/j.epidem.2017.12.001.
Huo Hai-Feng, Chen Rui, Wang Xun-Yang. Modelling and stability of HIV/AIDS epidemic model with treatment. Appl Math Model 2016;13(40):6550–9.
Hou X, Wang D, Zuo J, Li J, Wang T, Guo C, et al. Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: data from a China population-based cohort. Lancet 2019;48:414–24.
Krebs E, Enns B, Wang L, Zang X, Panagiotoglou D, Del Rio C, et al. Developing a dynamic HIV transmission model for 6 U.S. cities: an evidence synthesis. PLoS One 2019;14(5):e0217559, http://dx.doi.org/10.1371/journal.pone.0217559.
Dowdy DW, Dye C, Cohen T. Data needs for evidence-based decisions: a tuber- culosis modeler’s ‘wish list’. Int J Tuberc Lung Dis 2013;17(7):866–77, http:// dx.doi.org/10.5588/ijtld.12.0573.
Okuonghae D. A mathematical model of tuberculosis transmission with het- erogeneity in disease susceptibility and progression under a treatment regime for infectious cases. Appl Math Model 2013;37(10–11):6786–808.
Houngbo PT, Coleman HLS, Zweekhorst M, De Cock Buning T, Medenou D, Bun- ders JFG. A model for good governance of healthcare technology management in the public sector: learning from evidence-informed policy development and implementation in Benin. PLoS One 2017;12(1):e0168842, http://dx.doi.org/ 10.1371/journal.pone.0168842.
Kern SE, Jaron D. Healthcare technology, economics, and policy: an evolving balance. IEEE Eng Med Biol Mag 2003;22(1):16–9, http://dx.doi.org/10.1109/ memb.2003.1191444.
Panovska-Griffiths J. Can mathematical modelling solve the current Covid-19 crisis? BMC Public Health 2020;20:551.
Ndaïrou Faïc¸ al, Area Iván, Nieto Juan J, Torres Delfim FM. Mathematical mod- eling of COVID-19 transmission dynamics with a case study of Wuhan. Chaos Solitons Fractals 2020;135(June):109846.
https://www.who.int/publications-detail-redirect/surveillance-strategies- for-covid-19-human-infection.
https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/about- epidemiology/monitoring-and-tracking.html.
Zhang RX, Li J, Zhang T, Amini MA, He C, Lu B, et al. Importance of integrating nanotechnology with pharmacology and physiology for innovative drug deliv- ery and therapy—an illustration with first hand examples. Acta Pharmacol Sin 2018;39:825–44, http://dx.doi.org/10.1038/aps.2018.33.
Paliwal Praveen, Sargolzaei Saman, Bhardwaj Sheetal K, Bhardwaj Vinay, Dixit Chandra, Kaushik Ajeet. Grand challenges in bio-nanotechnology to man- age COVID-19 pandemic. Front Nanotechnol 2020, http://dx.doi.org/10.3389/ fnano.2020.00003.
Kostarelos K. Nanoscale nights of COVID-19. Nat Nanotechnol 2020;15:343–4, http://dx.doi.org/10.1038/s41565-020-0687-4.
Pen˜a-Bahamonde J, Nguyen HN, Fanourakis SK, et al. Recent advances in graphene-based biosensor technology with applications in life sciences. J Nanobiotechnol 2018;16:75.
Qiu Guangyu, Gai Zhibo, Tao Yile, Schmitt Jean, Kullak-Ublick Gerd A, Wang Jing. Dual-functional plasmonic photothermal biosensors for highly accurate severe acute respiratory syndrome coronavirus 2 detection. ACS Nano 2020, http://dx.doi.org/10.1021/acsnano.0c02439.
Sui-Yuan Chang, Kuo-Yen Huang, Tai-Ling Chao, Han-Chieh Kao, Yu-Hao Pang, Lin Lu, et al. Nanoparticle composite TPNT1 is effective against SARS-CoV-2 and influenza viruses. Research Square (Preprint). https://doi.org/10.21203/rs.3.rs- 52066/v1.
Nanomaterials based company: http://www.tripod-nano.com/en.
Choi JR. Development of point-of-care biosensors for COVID-19. Front Chem 2020;8:517, http://dx.doi.org/10.3389/fchem.2020.00517. Published 2020 May 27.
Yingjie Y, Fanqiang B, Huiling Z, Yongheng W, Jianxun C, Xing W, et al. Biosafety materials: an emerging new research direction of materials science from the COVID-19 outbreak. Mater Chem Front 2020;4:1930–53, http://dx.doi.org/10. 1039/D0QM00255K.
https://www.who.int/news-room/detail/03-04-2020-digital-technology-for- covid-19-response.
Cohen AB, Dorsey ER, Mathews SC, Bates DW, Safavi K. A digital health industry cohort across the health continuum. Npj Digit Med 2020;3:68, http://dx.doi. org/10.1038/s41746-020-0276-9.
[Agrebia Said, Larbi Anis. Use of artificial intelligence in infectious diseases. Artif Intel Precis Health 2020:415–38.
Technology company on mass healthcare: https://www.mhospitals.com/.
Fitzpatrick MC, Bauch CT, Townsend JP, Galvani AP. Modelling microbial infec- tion to address global health challenges. Nat Microbiol 2019;4:1612–9.
https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/strategies- to-reduce-spread.html.
Delivering better insights for better health: https://www.ibm.com/industries/ healthcare/solutions/population-health-insights.
Public Health Management of Healthcare Workers: https://www.cdc.gov/ coronavirus/2019-ncov/hcp/non-us-settings/public-health-management- hcw-exposed.html.
CDNA guidelines for the prevention, control and public health management: https://www.health.gov.au/resources/publications/cdna-guidelines-for-the- prevention-control-and-public-health-management-of-covid-19-outbreaks- in-correctional-and-detention-facilities-in-australia.
Barroa K, Malone A, Mokede A, Chevance C. Management of the COVID-19 epi- demic by public health establishments—analysis by the Fédération Hospitalière de France. J Visc Surg 2020;157(3):19–23.
Chen Y, Li Z, Zhang YY, Zhao WH, Yu ZY. Maternal health care management during the outbreak of coronavirus disease 2019. J Med Virol 2020;92(July (7)):731–9, http://dx.doi.org/10.1002/jmv.25787. Epub 2020 Apr 17. PMID: 32219871.
Garg M, Wray CM. Hospital medicine management in the time of COVID- 19: preparing for a sprint and a marathon. J Hosp Med 2020;15(May (5)):305–7, http://dx.doi.org/10.12788/jhm.3427. Epub 2020 Apr 8. PMID: 32379037.
Velic A, Jaggessar A, Senevirathne SWMAI, Mathew A, Paritala PK, Islam M, et al. Adaptations and lessons from COVID-19: a perspective on how some industries will be impacted. Adv Mater Lett 2020;11(7):20071533, http://dx.doi.org/10. 5185/amlett.2020.071533.
Whole-person health management solutions for any value-based care initia- tive: https://www.zeomega.com/.
A well-functioning healthcare system is the need of the hour: https://www. downtoearth.org.in/blog/health/covid-19-a-well-functioning-healthcare- system-is-the-need-of-the-hour-72504.
Pathophysiology, Epidemiology, Clinical Management and Public Health Response: https://www.frontiersin.org/research-topics/13377/coronavirus- disease-covid-19-pathophysiology-epidemiology-clinical-management-and- public-health-resp.
Personalize patient care on one unified platform: https://www.salesforce.com/ solutions/industries/healthcare/health-cloud/.
WHO technical guidance: Patient management: https://www.who.int/ emergencies/diseases/novel-coronavirus-2019/technical-guidance/patient- management.
Overview of Testing for COVID-19: https://www.cdc.gov/coronavirus/2019- ncov/hcp/testing-overview.html?CDC AA refVal=https%3A%2F%2Fwww.cdc. gov%2Fcoronavirus%2F2019-ncov%2Fhcp%2Fclinical-criteria.html.
Management of persons, including healthcare workers, who had contact with COVID-19 cases, including tracing, identification, listing and follow- up: https://www.ecdc.europa.eu/en/covid-19-contact-tracing-public-health- management.
Bose S, Adapa S, Aeddula NR, Roy S, Nandikanti D, Vupadhyayula PM, et al. Medical management of COVID-19: evidence and experience. J Clin Med Res 2020;12(6):329–43, http://dx.doi.org/10.14740/jocmr4201.
Phua J, Weng L, Ling L, Egi M, Lim CM, Divatia JV, et al. Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recom- mendations. Lancet Respir Med 2020;8(5):506–17, http://dx.doi.org/10.1016/ S2213-2600(20)30161-2.
Population health: https://www.wipro.com/en-IN/healthcare/population- health-management-bending-the-curve-with-collaboration-access-and- interoperability/.
Healthcare data and software company: https://www.arcadia.io/.
Gai R, Tobe M. Managing healthcare delivery system to fight the COVID-19 epidemic: experience in Japan. Glob Health Res Policy 2020;5:23, http://dx. doi.org/10.1186/s41256-020-00149-064.
The doctor-recommended way to manage asthma or COPD: https://www. propellerhealth.com/.
Bielicki JA, Duval X, Gobat N, Goossens H, Koopmans M, Tacconelli E, et al. Mon- itoring approaches for health-care workers during the COVID-19 pandemic. Lancet Infect Dis 2020;20:e261–67.
Keesara Sirina, Jonas Andrea, Schulman Kevin. Covid-19 and health care’s digital revolution. N Engl J Med 2020;382:e82, http://dx.doi.org/10.1056/ NEJMp2005835.
Tian S, Yang W, Grange JML, Wang P, Huang W, Ye Z. Smart healthcare: making medical care more intelligent. Glob Health J 2019;3(3):62–5.
A collection of articles and other resources on the Coronavirus (Covid-19): https://www.nejm.org/coronavirus.
COVID-19 Resource Centre: https://www.thelancet.com/coronavirus.
Papers on Management Science in the Fight Against COVID-19: https://www. springer.com/journal/10729/updates/18040716.
Sengupta Mayuree, Purushotham H. Severe acute respiratory syndrome- related coronavirus: a patent based view. Adv Mater Lett 2020;11(5):20051503, http://dx.doi.org/10.5185/amlett.2020.051503.
Jo Wonkwang, Chang Dukjin. Political consequences of COVID-19 and media framing in South Korea. Front Public Health 2020;8(425), http://dx.doi.org/10. 3389/fpubh.2020.00425.
Anton Pak, Adegboye Oyelola A, Adekunle Adeshina I, Rahman Kazi M, McBryde Emma S, Eisen Damon P. Economic consequences of the COVID-19 outbreak: the need for epidemic preparedness. Front Public Health 2020;8(241), http:// dx.doi.org/10.3389/fpubh.2020.00241. ISSN=2296-2565.
Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, Iosifidis C, et al. The socio- economic implications of the coronavirus pandemic (COVID-19): a review. Int J Surg 2020;78:185–93, http://dx.doi.org/10.1016/j.ijsu.2020.04.018.
Fancourt Daisy, Steptoe Andrew, Wright Liam. The Cummings effect: politics, trust, and behaviours during the COVID-19 pandemic. Lancet 2020;396(10249):464–5, http://dx.doi.org/10.1016/S0140-6736(20)31690-1.
Tisdell CA. Economic, social and political issues raised by the COVID-19 pan- demic. Econ Anal Policy 2020;68:17–28, http://dx.doi.org/10.1016/j.eap.2020. 08.002.
Weible CM, Nohrstedt D, Cairney P, Carter DP, Crow DA, Durnová AP, et al. COVID-19 and the policy sciences: initial reactions and perspectives [published online ahead of print, 2020 Apr 18]. Policy Sci 2020:1–17, http://dx.doi.org/10. 1007/s11077-020-09381-4.
Institute of Medicine (US) Committee on Technological Innovation in Medicine, Gelijns AC, Halm EA, editors. The changing economics of medical technology. Washington (DC): National Academies Press (US); 1991 (Medical Innovation at the Crossroads, No. 2.) 9, Medical Device Innovation and Public Policy in the European Economic Community. Available from: https://www.ncbi.nlm. nih.gov/books/NBK234302/.
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.