Lessons learned from implementing a surge capacity support program for COVID-19 contact management in Ontario.

SETTING: In Ontario, local public health units (PHUs) are responsible for leading case investigations, contact tracing, and follow-up. The workforce capacity and operational requirements needed to maintain this public health strategy during the COVID-19 pandemic were unprecedented. INTERVENTION: Public Health Ontario's Contact Tracing Initiative (CTI) was established to provide a centralized workforce. This program was unique in leveraging existing human resources from federal and provincial government agencies and its targeted focus on initial and follow-up phone calls to high-risk close contacts of COVID-19 cases. By setting criteria for submissions to the program, standardizing scripts, and simplifying the data management process, the CTI was able to support a high volume of calls. OUTCOMES: During its 23 months of operation, the CTI was used by 33 of the 34 PHUs and supported over a million calls to high-risk close contacts. This initiative was able to meet its objectives while adapting to the changing dynamics of the pandemic and the implementation of a new COVID-19 provincial information system. Core strengths of the CTI were timeliness, volume, and efficient use of resources. The CTI was found to be useful for school exposures, providing support when public health measures were lifted, and in supporting PHU's reallocation of resources during the vaccine roll-out. IMPLICATIONS: When considering future use of this model, it is important to take note of the program strengths and limitations to ensure alignment with future needs for surge capacity support. Lessons learned from this initiative could provide practice-relevant knowledge for surge capacity planning.

RéSUMé: CONTEXTE: En Ontario, ce sont les bureaux de santé publique qui s'occupent des enquêtes de cas, de la recherche des contacts et des suivis. Pendant la pandémie de COVID-19, les besoins opérationnels et de capacité de la main-d'œuvre à combler pour conserver cette stratégie de santé publique ont atteint une ampleur jamais vue. INTERVENTION: L'Initiative de recherche des contacts dans le cadre de la lutte contre la COVID-19 de Santé publique Ontario a été mise sur pied dans l'objectif de centraliser l'effectif. Mobilisant des ressources humaines d'organisations fédérales et provinciales, ce programme a permis de faire les appels initiaux et de suivi aux contacts étroits de cas de COVID-19 exposés à un risque élevé. Grâce à des critères bien établis pour les soumissions au programme, à l'uniformisation des scripts et à la simplification du processus de gestion des données, un grand volume d'appels a pu être traité. RéSULTATS: Durant les 23 mois de l'Initiative, 33 des 34 bureaux de santé publique y ont eu recours. Ce sont ainsi plus d'un million d'appels à des contacts étroits qui ont pu être faits. L'Initiative a permis d'atteindre les objectifs en s'adaptant au contexte pandémique en constante évolution et de mettre en œuvre un nouveau système de gestion des renseignements provinciaux sur la COVID-19. Ses grandes forces sont la rapidité, le volume et l'efficacité de l'utilisation des ressources. Elle a été particulièrement utile dans les cas d'exposition en milieu scolaire, permettant d'offrir du soutien à la levée des mesures sanitaires et d'aider à la réaffectation des ressources des bureaux de santé publique pendant la campagne de vaccination. CONSéQUENCES: Si l'on envisage de réutiliser ce modèle, il importe de tenir compte des forces et des faiblesses du programme pour qu'il cadre avec les besoins futurs de soutien en matière de capacité de mobilisation. Les leçons tirées de cette initiative pourraient s'avérer pertinentes pour la planification de cette capacité.

Managing Interhospital Referrals During a COVID-19 Patient Surge in Japan: Creating Available Beds by Exchanging Patients.

A COVID-19 patient surge in Japan from July to September 2021 caused a mismatch between patient severity and bed types because hospital beds were fully occupied and patient referrals between hospitals stagnated. Japan's predominantly private healthcare system lacks effective mechanisms to coordinate healthcare providers to address the mismatch. To address the surge, in August 2021, Tokyo Saiseikai Central Hospital started a scheme to exchange patients with other hospitals to mitigate the mismatch. In this article, we outline a retrospective observational study using medical records from a tertiary care medical center that treated severe COVID-19 cases. We describe daily patient admissions to our hospital's COVID-19 beds from July to September 2021, and compared the moving average of daily admissions before and after the exchange scheme was introduced. Bed occupancy reached nearly 100% in late July when the patient surge began and continued to exceed 100% in August when the surge peaked. However, the average daily admission did not decrease in August compared with July: the median daily admission (25th to 75th percentile) during each period was 2 (1 to 2.5) in late July and 3 (2 to 4) in August. The number of patients referred in from secondary care hospitals and the number of patients referred out was balanced in August. During the patient surge, the exchange scheme enabled the hospital to maintain and even increase the number of new admissions despite the bed shortage. Coordinating patient referrals in both directions simultaneously, rather than the usual 1-way transfer, can mitigate such mismatches.

One System, Multiple Hospitals: A Unified Paediatric Healthcare System Response to the COVID-19 Pandemic.

To address severe adult in-patient capacity pressures during the COVID-19 pandemic, 15 community hospitals were mandated to close their in-patient paediatric units (167 beds) and transfer paediatric in-patients to a single paediatric tertiary hospital. The tertiary hospital increased bed capacity through a surge plan activation, while community hospitals redeployed resources to fill the gaps in adult care. Also, 530 patients were transferred solely to increase adult bed capacity during the closure. Several factors enabled the system to function collaboratively. Closures increased the potential adult in-patient capacity by 6,740 bed days and demonstrated an unprecedented system-wide approach to the provision of integrated paediatric care across the region.

Nanomanagement networking: Organisational resilience to COVID-19 surge capacity in Egypt.

This paper draws on the literature of nanomanagement and organisational resilience to explore the reality of surge capacity in the context of the Egyptian government's effort to contain the recent COVID-19 pandemic. It utilises nanomanagement networking to explain the significant models of decision making, communication and sense making, taking into account the resilient interconnections and interdependence among organisations, to understand how these impact on the resilience of crisis management surge capacity. With a focus on COVID-19 crisis management in Egypt, the study analyses empirical data collected from interviews with actors from different governmental organisations. Following this, the paper focuses on the role of nanomanagement in realising the resilience of interorganisational network capacity to obtain accurate and up-to-date information in order to develop the system strategies and responses necessary to enable convenient surge capacity for COVID-19 crisis management.

How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis.

BACKGROUND: Prior to the COVID-19 pandemic, US hospitals relied on static projections of future trends for long-term planning and were only beginning to consider forecasting methods for short-term planning of staffing and other resources. With the overwhelming burden imposed by COVID-19 on the health care system, an emergent need exists to accurately forecast hospitalization needs within an actionable timeframe. OBJECTIVE: Our goal was to leverage an existing COVID-19 case and death forecasting tool to generate the expected number of concurrent hospitalizations, occupied intensive care unit (ICU) beds, and in-use ventilators 1 day to 4 weeks in the future for New Mexico and each of its five health regions. METHODS: We developed a probabilistic model that took as input the number of new COVID-19 cases for New Mexico from Los Alamos National Laboratory's COVID-19 Forecasts Using Fast Evaluations and Estimation tool, and we used the model to estimate the number of new daily hospital admissions 4 weeks into the future based on current statewide hospitalization rates. The model estimated the number of new admissions that would require an ICU bed or use of a ventilator and then projected the individual lengths of hospital stays based on the resource need. By tracking the lengths of stay through time, we captured the projected simultaneous need for inpatient beds, ICU beds, and ventilators. We used a postprocessing method to adjust the forecasts based on the differences between prior forecasts and the subsequent observed data. Thus, we ensured that our forecasts could reflect a dynamically changing situation on the ground. RESULTS: Forecasts made between September 1 and December 9, 2020, showed variable accuracy across time, health care resource needs, and forecast horizon. Forecasts made in October, when new COVID-19 cases were steadily increasing, had an average accuracy error of 20.0%, while the error in forecasts made in September, a month with low COVID-19 activity, was 39.7%. Across health care use categories, state-level forecasts were more accurate than those at the regional level. Although the accuracy declined as the forecast was projected further into the future, the stated uncertainty of the prediction improved. Forecasts were within 5% of their stated uncertainty at the 50% and 90% prediction intervals at the 3- to 4-week forecast horizon for state-level inpatient and ICU needs. However, uncertainty intervals were too narrow for forecasts of state-level ventilator need and all regional health care resource needs. CONCLUSIONS: Real-time forecasting of the burden imposed by a spreading infectious disease is a crucial component of decision support during a public health emergency. Our proposed methodology demonstrated utility in providing near-term forecasts, particularly at the state level. This tool can aid other stakeholders as they face COVID-19 population impacts now and in the future.

Optimization of a Patient Distribution Framework: Second Wave COVID-19 Preparedness and Challenges in the Amsterdam Region.

To meet surge capacity and to prevent hospitals from being overwhelmed with COVID-19 patients, a regional crisis task force was established during the first pandemic wave to coordinate the even distribution of COVID-19 patients in the Amsterdam region. Based on a preexisting regional management framework for acute care, this task force was led by physicians experienced in managing mass casualty incidents. A collaborative framework consisting of the regional task force, the national task force, and the region's hospital crisis coordinators facilitated intraregional and interregional patient transfers. After hospital admission rates declined following the first COVID-19 wave, a window of opportunity enabled the task forces to create, standardize, and optimize their patient transfer processes before a potential second wave commenced. Improvement was prioritized according to 3 crucial pillars: process standardization, implementation of new strategies, and continuous evaluation of the decision tree. Implementing the novel "fair share" model as a straightforward patient distribution directive supported the regional task force's decisionmaking. Standardization of the digital patient transfer registration process contributed to a uniform, structured system in which every patient transfer was verifiable on intraregional and interregional levels. Furthermore, the regional task force team was optimized and evaluation meetings were standardized. Lines of communication were enhanced, resulting in increased situational awareness among all stakeholders that indirectly provided a safety net and an improved integral framework for managing COVID-19 care capacities. In this article, we describe enhancements to a patient transfer framework that can serve as an exemplary system to meet surge capacity demands during current and future pandemics.

Dynamic assessment of surge capacity in a large hospital network during COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has provided an unprecedented scenario to deepen knowledge of surge capacity (SC), assessment of which remains a challenge. This study reports a large-scale experience of a multi-hospital network, with the aim of evaluating the characteristics of different hospitals involved in the response and of measuring a real-time SC based on two complementary modalities (actual, base) referring to the intensive care units (ICU). METHODS: Data analysis referred to two consecutive pandemic waves (March-December 2020). Regarding SC, two different levels of analysis are considered: single hospital category (referring to a six-level categorization based on the number of hospital beds) and multi-hospital wide (referring to the response of the entire hospital network). RESULTS: During the period of 114 days, the analysis revealed a key role of the biggest hospitals (>Category-4) in terms of involvement in the pandemic response. In terms of SC, Category-4 hospitals showed the highest mean SC values, irrespective of the calculation method and level of analysis. At the multi-hospital level, the analysis revealed an overall ICU-SC (base) of 84.4% and an ICU-SC (actual) of 106.5%. CONCLUSIONS: The results provide benchmarks to better understand ICU hospital response capacity, highlighting the need for a more flexible approach to SC definition.

Avoiding Crisis Conditions in the Healthcare Infrastructure: 2 Case Studies in Statewide Collaboration.

In fall 2020, COVID-19 infections accelerated across the United States. For many states, a surge in COVID-19 cases meant planning for the allocation of scarce resources. Crisis standards of care planning focuses on maintaining high-quality clinical care amid extreme operating conditions. One of the primary goals of crisis standards of care planning is to use all preventive measures available to avoid reaching crisis conditions and the complex triage decisionmaking involved therein. Strategies to stay out of crisis must respond to the actual experience of people on the frontlines, or the "ground truth," to ensure efforts to increase critical care bed numbers and augment staff, equipment, supplies, and medications to provide an effective response to a public health emergency. Successful management of a surge event where healthcare needs exceed capacity requires coordinated strategies for scarce resource allocation. In this article, we examine the ground truth challenges encountered in response efforts during the fall surge of 2020 for 2 states-Nebraska and California-and the strategies each state used to enable healthcare facilities to stay out of crisis standards of care. Through these 2 cases, we identify key tools deployed to reduce surge and barriers to coordinated statewide support of the healthcare infrastructure. Finally, we offer considerations for operationalizing key tools to alleviate surge and recommendations for stronger statewide coordination in future public health emergencies.

Caring for COVID-19 patients through a pandemic in the intensive care setting: A narrative review.

Since the declaration of the novel SARS-CoV-2 virus pandemic, health systems/ health-care-workers globally have been overwhelmed by a vast number of COVID-19 related hospitalizations and intensive care unit (ICU) admissions. During the early stages of the pandemic, the lack of formalized evidence-based guidelines in all aspects of patient management was a significant challenge. Coupled with a lack of effective pharmacotherapies resulted in unsatisfactory outcomes in ICU patients. The anticipated increment in ICU surge capacity was staggering, with almost every ICU worldwide being advised to increase their capacity to allow adequate care provision in response to multiple waves of the pandemic. This increase in surge capacity required advanced planning and reassessments at every stage, taking advantage of experienced gained in combination with emerging evidence. In University Hospital Southampton General Intensive Care Unit (GICU), despite the initial lack of national and international guidance, we enhanced our ICU capacity and developed local guidance on all aspects of care to address the rapid demand from the increasing COVID-19 admissions. The main element of this success was a multidisciplinary team approach intertwined with equipment and infrastructural reorganization. This narrative review provides an insight into the approach adopted by our center to manage patients with COVID-19 critical illness, exploring the initial planning process, including contingency preparations to accommodate (360% capacity increment) and adaptation of our management pathways as more evidence emerged throughout the pandemic to provide the most appropriate levels of care to our patients. We hope our experience will benefit other intensive care units worldwide. This article is categorized under: Infectious Diseases > Genetics/Genomics/Epigenetics.

Community-based response to the COVID-19 pandemic: case study of a home isolation centre using flexible surge capacity.

OBJECTIVES: Coronavirus disease 2019 (COVID-19) has consumed many available resources within contingency plans, necessitating new capacity surges and novel approaches. This study aimed to explore the possibility of implementing the concept of flexible surge capacity to reduce the burden on hospitals by focussing on community resources to develop home isolation centres in Bangkok, Thailand. STUDY DESIGN: A qualitative study consisted of observational and semi-structured interview data. METHODS: The development and activities of home isolation centres were observed, and interviews were conducted with leaders and operational workforces. Data were deductively analysed and categorised based on the practical elements necessary in disaster and emergency management. RESULTS: Data were categorised into the seven collaborative elements of the major incident medical management and support model. The command-and-control category demonstrated four subcategories: (1) coordination and collaboration; (2) staff engagement; (3) responsibility clarification; and (4) sustainability. Safety presented two subcategories: (1) patients' information privacy and treatment; and (2) personnel safety and privacy. Communication showed internal and external communications subcategories. Assessment, triage, treatment and transport followed the processes of the COVID-19 treatment protocols according to the World Health Organisation (WHO) guidelines and hospital operations. Several supply- and patient-related challenges were identified and managed during centre development. CONCLUSIONS: The use of community resources, based on the flexible surge capacity concept, is feasible under restricted circumstances and reduced the burden on hospitals during the COVID-19 pandemic. Continuous education among multidisciplinary volunteer teams facilitated their full participation and engagement. The concept of flexible surge capacity may promote an alternative community-based care opportunity, irrespective of emergencies' aetiology.

Hospitals early challenges and interventions combatting COVID-19 in the Eastern Mediterranean Region.

BACKGROUND: During rapidly evolving outbreaks, health services and essential medical care are interrupted as facilities have become overwhelmed responding to COVID-19. In the Eastern Mediterranean Region (EMR), more than half of countries are affected by emergencies, hospitals face complex challenges as they respond to humanitarian crises, maintain essential services, and fight the pandemic. While hospitals in the EMR have adapted to combat COVID-19, evidence-based and context-specific recommendations are needed to guide policymakers and hospital managers on best practices to strengthen hospitals' readiness, limit the impact of the pandemic, and create lasting hospital sector improvements towards recovery and resilience. AIM: Guided by the WHO/EMR's "Hospital readiness checklist for COVID-19", this study presents the experiences of EMR hospitals in combatting COVID-19 across the 22 EMR countries, including their challenges and interventions across the checklist domains, to inform improvements to pandemic preparedness, response, policy, and practice. METHODS: To collect in-depth and comprehensive information on hospital experiences, qualitative and descriptive quantitative data was collected between May-October 2020. To increase breadth of responses, this comprehensive qualitative study triangulated findings from a regional literature review with the findings of an open-ended online survey (n = 139), and virtual in-depth key informant interviews with 46 policymakers and hospital managers from 18 out of 22 EMR countries. Purposeful sampling supported by snowballing was used and continued until reaching data saturation, measures were taken to increase the trustworthiness of the results. Led by the checklist domains, qualitative data was thematically analyzed using MAXQDA. FINDINGS: Hospitals faced continuously changing challenges and needed to adapt to maintain operations and provide essential services. This thematic analysis revealed major themes for the challenges and interventions utilized by hospitals for each of hospital readiness domains: Preparedness, Leadership, Operational support, logistics, supply management, Communications and Information, Human Resources, Continuity of Essential Services and Surge Capacity, Rapid Identification and Diagnosis, Isolation and Case Management, and Infection, Prevention and Control. CONCLUSION: Hospitals are the backbone of COVID-19 response, and their resilience is essential for achieving universal health coverage. Multi-pronged (across each of the hospitals readiness domains) and multi-level policies are required to strengthen hospitals resilience and prepare health systems for future outbreaks and shocks.

Rapid response of a medical center upon the surge of COVID-19 epidemic in Taiwan.

A surge of coronavirus disease (COVID-19) cases emerged in northern Taiwan in mid-May 2021. In spite of over one-year preparedness, the medical system in this area suffered from the crisis. Far Eastern Memorial Hospital (FEMH) responded quickly with decreased total hospitalization cases (about 50%) to free manpower and space. With simple construction work, the in-hospital service capacity increases from 11 negative-pressure ward (1 unit) and 2 negative-pressure ICU (1 unit) beds to over 130 ward (5 units) and 58 ICU beds (4 units) without negative-pressure design within 3 weeks. For a period of time, FEMH takes care of 10% of all intensive care services in Taiwan. The vaccination rate of workers reaches 90% since mid-May. The amount of testing performed during the period, including PCR and rapid tests, comprised of more than 20% of tests performed in New Taipei City. Two hotels for mild/asymptomatic COVID patients were handled by FEMH workers. By mid-July, about one-fifth of COVID-19 cases in New Taipei City received services from the FEMH system. With determined leadership and concerted efforts, combined interventions can increase the capacity of medical care within weeks and help society against the COVID-19 epidemic.

Critical Care Response During the COVID-19 Pandemic.

Hospitals and health care systems with active critical care organizations (CCOs) that unified ICU units before the onset of the COVID-19 Pandemic were better positioned to adapt to the demands of the pandemic, due to their established standardization of care and integration of critical care within the larger structure of the hospital or health care system. CCOs should continue to make changes, based on the real experience of COVID-19 that would lead to improved care during the ongoing pandemic, and beyond.

Surge capacity and capability of intensive care units across a large healthcare system: An operational blueprint for regional integration.

OBJECTIVE: Many hospitals were unprepared for the surge of patients associated with the spread of coronavirus disease 2019 (COVID-19) pandemic. We describe the processes to develop and implement a surge plan framework for resource allocation, staffing, and standardized management in response to the COVID-19 pandemic across a large integrated regional healthcare system. SETTING: A large academic medical center in the Cleveland metropolitan area, with a network of 10 regional hospitals throughout Northeastern Ohio with a daily capacity of more than 500 intensive care unit (ICU) beds. RESULTS: At the beginning of the pandemic, an equitable delivery of healthcare services across the healthcare system was developed. This distribution of resources was implemented with the potential needs and resources of the individual ICUs in mind, and epidemiologic predictions of virus transmissibility. We describe the processes to develop and implement a surge plan framework for resource allocation, staffing, and standardized management in response to the COVID-19 pandemic across a large integrated regional healthcare system. We also describe an additional level of surge capacity, which is available to well-integrated institutions called "extension of capacity." This refers to the ability to immediately have access to the beds and resources within a hospital system with minimal administrative burden. CONCLUSIONS: Large integrated hospital systems may have an advantage over individual hospitals because they can shift supplies among regional partners, which may lead to faster mobilization of resources, rather than depending on local and national governments. The pandemic response of our healthcare system highlights these benefits.