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Sener T, Haenen W, Smits P, Hans GH. Large-scale real-life implementation of technology-enabled care to maximize hospitals' medical surge preparedness during future infectious disease outbreaks and winter seasons: a viewpoint. Front Public Health 2023; 11:1149247. [PMID: 37621607 PMCID: PMC10446840 DOI: 10.3389/fpubh.2023.1149247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
Hospitals can be overburdened with large numbers of patients with severe infectious conditions during infectious disease outbreaks. Such outbreaks or epidemics put tremendous pressure on the admission capacity of care facilities in the concerned region, negatively affecting the elective program within these facilities. Such situations have been observed during the recent waves of the coronavirus disease pandemic. Owing to the imminent threat of a "tripledemic" by new variants of the coronavirus disease (such as the new Omicron XBB.1.16 strain), influenza, and respiratory syncytial virus during future winter seasons, healthcare agencies should take decisive steps to safeguard hospitals' surge capacity while continuing to provide optimal and safe care to a potentially large number of patients in their trusted home environment. Preparedness of health systems for infectious diseases will require dynamic interaction between a continuous assessment of region-wide available hospital capacity and programs for intensive home treatment of patients who can spread the disease. In this viewpoint, we describe an innovative, dynamic coupling system between hospital surge capacity and cascading activation of a nationwide system for remote patient monitoring. This approach was developed using the multi-criteria decision analysis methodology, considering previously published real-life experiences on remote patient monitoring.
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Affiliation(s)
- Talia Sener
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Winne Haenen
- Federal Public Service for Health, Food Chain Safety and Environment, Brussels, Belgium
| | - Patrick Smits
- Cell Crisis Preparedness, Agentschap Zorg en Gezondheid, Brussels, Belgium
| | - Guy H. Hans
- Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Chief Medical Officer, Antwerp University Hospital (UZA), Edegem, Belgium
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Zhang C, Ma EL, Liu BL, Wu B, Gu ZC, Lin HW. Framework Development for Clinical Comprehensive Evaluation of Drugs–a Study Protocol Using the Delphi Method and Analytic Hierarchy Process. Front Pharmacol 2022; 13:869319. [PMID: 35662698 PMCID: PMC9161709 DOI: 10.3389/fphar.2022.869319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 04/06/2022] [Indexed: 11/17/2022] Open
Abstract
Measuring the value of drugs to help make health-care decisions is a complex process which involves confronting trade-offs among multiple objectives. Although guidelines have been released for clinical comprehensive evaluation of drugs, refinement is required when considering a specific drug used in a specific disease. In this study, a two-level framework for clinical comprehensive evaluation of drugs will be developed. Six first-level indicators, including safety, efficacy, costs/cost-effectiveness, novelty, suitability, and accessibility will be evaluated according to the Chinese Guideline for Clinical Comprehensive Evaluation of Drugs. The second-level components involved in the framework will be first validated by the Delphi method and subsequently compared with one another to get the index weight based on the Analytic Hierarchy Process (AHP). The scoring criteria of each component in the framework will also be determined by the Delphi method and AHP. The scoring criteria of components representing therapeutic effects will involve both score of therapeutic effects and score of evidence quality. With the evidence of the drug to be evaluated, the score of each component will be obtained according to the established scoring criteria, and the overall comprehensive score value of the drug will be calculated, which will assist the evidence-based decision making.
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Affiliation(s)
- Chi Zhang
- School of Medicine, Tongji University, Shanghai, China
- Department of Pharmacy, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Anticoagulation Pharmacist Alliance, Shanghai Pharmaceutical Association, Shanghai, China
| | - Er-Li Ma
- Shanghai Pharmaceutical Association, Shanghai, China
| | - Bing-Long Liu
- Shanghai Pharmaceutical Association, Shanghai, China
| | - Bin Wu
- Department of Pharmacy, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Bin Wu, ; Zhi-Chun Gu,
| | - Zhi-Chun Gu
- Department of Pharmacy, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Anticoagulation Pharmacist Alliance, Shanghai Pharmaceutical Association, Shanghai, China
- *Correspondence: Bin Wu, ; Zhi-Chun Gu,
| | - Hou-Wen Lin
- School of Medicine, Tongji University, Shanghai, China
- Department of Pharmacy, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Anticoagulation Pharmacist Alliance, Shanghai Pharmaceutical Association, Shanghai, China
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