» Articles » PMID: 36855122

Resilience in Keeping the Balance Between Demand and Capacity in the COVID-19 Pandemic, a Case Study at a Swedish Middle-sized Hospital

Overview
Publisher Biomed Central
Specialty Health Services
Date 2023 Mar 1
PMID 36855122
Authors
Affiliations
Soon will be listed here.
Abstract

Background: In pandemics, it is critical to find a balance between healthcare demand, and capacity, taking into consideration the demands of the patients affected by the pandemic, as well as other patients (in elective or emergency care). The purpose of this paper is to suggest conceptual models for the capacity requirements at the emergency department, the inpatient care, and intensive care unit as well as a model for building staff capacity in pandemics.

Methods: This paper is based on a qualitative single case study at a middle-sized hospital in Sweden. The primary data are collected from 27 interviewees and inductively analyzed.

Results: The interviewees described a large difference between the immediate catastrophe scenario described in the emergency plan (which they had trained for), and the reality during the COVID-19 pandemic. The pandemic had a much slower onset and lasted longer compared to, for example, an accident, and the healthcare demand fluctuated with the societal infection. The emergency department and inpatient care could create surge capacity by reducing elective care. Lower inflow of other emergency patients also helped to create surge capacity. The number of intensive care beds increased by 350% at the case hospital. At the same time, the capacity of the employees decreased due to infection, exhaustion, and fear. The study contributes to knowledge of conceptional models and key factors affecting the balance between demand and capacity.

Conclusion: The framework suggests conceptual models for balancing surge capacity during a pandemic Health care practitioners need to provide assumptions of the key factors to find the balance between the demand and capacity corresponding to the reality and maintain the delivery of high-quality healthcare services.

Citing Articles

Managing disrupted supply chains in Swedish hospitals during the COVID-19 pandemic.

Rosenback R, Lantz B, Rosen P Health Syst (Basingstoke). 2025; 14(1):58-68.

PMID: 39989919 PMC: 11843631. DOI: 10.1080/20476965.2024.2349816.


Early Mortality Prediction in Intensive Care Unit Patients Based on Serum Metabolomic Fingerprint.

Araujo R, Ramalhete L, Von Rekowski C, Fonseca T, Bento L, Calado C Int J Mol Sci. 2025; 25(24.

PMID: 39769370 PMC: 11677344. DOI: 10.3390/ijms252413609.


Development of a maturity model for demand and capacity management in healthcare.

Myrberg K, Wiger M, Bjorkman A BMC Health Serv Res. 2024; 24(1):1109.

PMID: 39313781 PMC: 11421199. DOI: 10.1186/s12913-024-11456-4.


COVID-19 healthcare success or failure? Crisis management explained by dynamic capabilities.

Rosenback R, Eriksson K BMC Health Serv Res. 2024; 24(1):759.

PMID: 38907231 PMC: 11193259. DOI: 10.1186/s12913-024-11201-x.

References
1.
Lantz B, Rosen P . Measuring effective capacity in an emergency department. J Health Organ Manag. 2016; 30(1):73-84. DOI: 10.1108/JHOM-05-2014-0074. View

2.
Hick J, DeVries A, Fink-Kocken P, Braun J, Marchetti J . Allocating resources during a crisis: you can't always get what you want. Minn Med. 2012; 95(4):46-50. View

3.
Watson S, Rudge J, Coker R . Health systems' "surge capacity": state of the art and priorities for future research. Milbank Q. 2013; 91(1):78-122. PMC: 3607127. DOI: 10.1111/milq.12003. View

4.
Bonnett C, Peery B, Cantrill S, Pons P, Haukoos J, McVaney K . Surge capacity: a proposed conceptual framework. Am J Emerg Med. 2007; 25(3):297-306. DOI: 10.1016/j.ajem.2006.08.011. View

5.
Therrien M, Normandin J, Denis J . Bridging complexity theory and resilience to develop surge capacity in health systems. J Health Organ Manag. 2017; 31(1):96-109. DOI: 10.1108/JHOM-04-2016-0067. View