Dynamic preparedness metric: a paradigm shift to measure and act on preparedness

Kandel, Nirmal; Chungong, Stella

doi:10.1016/s2214-109x(22)00097-3

Cited by 10 publications

(10 citation statements)

References 5 publications

(5 reference statements)

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“…Accordingly, these become the conditions for the urban agglomeration to resist the vulnerability of public health events. In accordance with previous research (53,54) and composite measure dimensions of DPM (37), the research of vulnerability to public health events in urban agglomerations should focus on three aspects: risk pre-assessment, crossdomain risk compensation capability assessment, and multiple response mechanisms assessments. We defined PVUA dynamic evaluation system through three domains above that are important when preparing for, mitigating, and reducing the consequences of the public health events.…”

Section: Construction Of the Evaluation System For The Pvuamentioning

confidence: 60%

“…More specifically, five domains (socioeconomic, demographic, housing and hygiene, epidemiological, and health system) were adopted in SVI (54). WHO proposed the creation of a new dynamic, multi-hazards, evidence-based preparedness metric can gauge preparedness capacity dynamically and inform key action plans for improving capacities (37). On behalf of WHO Technical Working Group, a recent research established the dynamic preparedness metric (DPM) to measure a country's preparedness for health emergencies, which contains three main conceptual dimensions: hazard, vulnerability, and capacity (37).…”

Section: Construction Of the Evaluation System For The Pvuamentioning

confidence: 99%

“…More than 2 years since the first SARS-CoV-2 infections were reported, the COVID-19 pandemic remains an acute global emergency in 2022. Since 2020, to meet WHO's goals: promote health, keep the world safe, and serve the vulnerable (37), meanwhile, to mitigate COVID-19 risk, several researchers developed vulnerability indexes for pandemics (35,(38)(39)(40), which expand the research content of the vulnerability.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the vulnerability to public health events in the Guangdong-Hong Kong-Macao Greater Bay Area

Cui

Chen

Shen

et al. 2022

Front. Public Health

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With the continuous improvement in the integration of urban agglomeration, a multi-functional, socialized, and complex dynamic system, effective prevention and control of emergent public health events have become increasingly important. Based on the Public-Health Vulnerability-Assessment-System of Urban Agglomeration (PVUA), the temporal and spatial differentiation characteristics of vulnerability in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) for the period of 2015-2019 are explored, and the vulnerable cities to public health events are identified in this area. The results can be summarized as follows: (1) The overall vulnerability to public health events in GBA decreases in the investigated period. (2) In the temporal dimension, accompanied by social and economic development, the sensitivity to public health events increases in GBA, and the coping capacity change from stable fluctuation to rapid improvement. (3) From the spatial dimension, the sensitivity level in GBA is low in the west, relatively high in the middle, and high in the southeast; the coping capacity is high in the southeast and low in the northwest; the collaborative governance capacity presents a spatial pattern of being low in the south and high in the north. (4) In the period of study, the vulnerability to public health events in Guangzhou and Jiangmen is stable at the lowest level, while that in Zhaoqing, Foshan, and Hong Kong SAR (Special Administrative Region) gradually reduces; the vulnerability in Shenzhen, Zhuhai, and Dongguan is fluctuating, and that in Huizhou, Zhongshan, and Macao SAR is continually maintained at a higher and the highest level.

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Section: Construction Of the Evaluation System For The Pvuamentioning

confidence: 60%

Section: Construction Of the Evaluation System For The Pvuamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of the vulnerability to public health events in the Guangdong-Hong Kong-Macao Greater Bay Area

Cui

Chen

Shen

et al. 2022

Front. Public Health

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“…10,11 The WHO aims to create a new dynamic, multihhazard, evidence-based preparedness metric that can gauge the preparedness capacity for each country or region. 12 Similar to many countries, France has faced mass casualty incidents, such as the Bataclan attack at Paris in 2015, the National Day celebration at Nice in 2016, rail accidents, and climatic disasters. A national strategy for preparing for exceptional health situations is speci ed, 13,14 organized with 13 Regional Health Agencies (RHAs).…”

mentioning

confidence: 99%

Modeling hospital surgical capacity in mass casualty incidents: a national metric of the MassCare index

Aubrion

Nadin²,

HARDEL³

et al. 2023

Preprint

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Background The a priori assessment of medical response capacity for disasters in each hospital is crucial to establish the maximum receivable number of patients and the best allocation strategy. The objective of this study was to calculate the maximal surgical capacity of each French hospital for adult victims of mass casualty incidents (MCI) during working hours (Tmax-MassCare-A1-B1-C1).Methods Data were taken from the 2019 national SAE survey, which records the activity and resources of French hospitals. The Tmax-MassCare-A1-B1-C1 indicator was calculated using resources for each hospital with sufficient data, as the minimum of its number of operating rooms, surgeons, and anaesthetists or anaesthesia nurses declared. Linear regression models were used to predict this Tmax-MassCare indicator using the hospital activity measured in the PMSI database, an exhaustive database used for payment purposes. Estimates of MCI surgical capacity per million inhabitants (p.m.h.) were further calculated by French region.Results Of the 875 hospitals included, 15.8% had missing data on resource variables precluding calculation of the Tmax-MassCare indicator without imputation. The capacity calculated for the remaining hospitals would be better predicted with the assumption that one patient in the MCI situation could be admitted for every 1441 annual procedures (R2 = 0,87, univariate linear regression model). Using this approximation, the MCI surgical capacity was 81.5 patients p.m.h. in metropolitan France and 47.6 in overseas France.Conclusion The maximal MCI surgical capacity in adults can be estimated using the annual number of procedures as a proxy. Further studies are needed to provide estimators outside of working hours and for paediatric victims.

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“…20 Work is also underway to develop improved tools for assessing preparedness, with more dynamic metrics being developed and piloted in a new universal periodic health review. 21 …”

mentioning

confidence: 99%

Transforming or tinkering: the world remains unprepared for the next pandemic threat

Clark¹,

Cárdenas

Dybul

et al. 2022

The Lancet

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Dynamic preparedness metric: a paradigm shift to measure and act on preparedness

Cited by 10 publications

References 5 publications

Evaluation of the vulnerability to public health events in the Guangdong-Hong Kong-Macao Greater Bay Area

Evaluation of the vulnerability to public health events in the Guangdong-Hong Kong-Macao Greater Bay Area

Modeling hospital surgical capacity in mass casualty incidents: a national metric of the MassCare index

Transforming or tinkering: the world remains unprepared for the next pandemic threat

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