Health Care Facilities Resilient to Climate Change Impacts

Paterson, Jaclyn; Berry, Peter; Ebi, Kristie L.; Varangu, Linda

doi:10.3390/ijerph111213097

Cited by 72 publications

(42 citation statements)

References 36 publications

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“…International literature also emphasises stakeholder engagement and locally adapted frameworks to access critical social infrastructure involving connectedness, collaboration and adaptive response. While our review was not internationally comprehensive, we note examples of research in Canada [ 131 , 137 ], the USA [ 138 , 139 ], the UK [ 120 ] and Australia [ 140 ], with calls for coordinated action to: reduce heat exposure; improve access to cooling; adapt the built environment; enhance surveillance and early warning systems and public awareness communications [ 141 ]. Reviews also emphasise the need for a greater attention to equity and inclusivity , drawing attention to the inequalities between socio-demographic groups in exposures to and impacts of extreme weather [ 142 ] and the increased care burdens that women are expected to undertake during disasters involving extreme weather events, that may be unsustainable [ 132 ].…”

Section: Potential For Adaptation Of Infrastructure Design and Practimentioning

confidence: 99%

Impact of extreme weather events and climate change for health and social care systems

et al. 2017

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This review, commissioned by the Research Councils UK Living With Environmental Change (LWEC) programme, concerns research on the impacts on health and social care systems in the United Kingdom of extreme weather events, under conditions of climate change. Extreme weather events considered include heatwaves, coldwaves and flooding. Using a structured review method, we consider evidence regarding the currently observed and anticipated future impacts of extreme weather on health and social care systems and the potential of preparedness and adaptation measures that may enhance resilience. We highlight a number of general conclusions which are likely to be of international relevance, although the review focussed on the situation in the UK. Extreme weather events impact the operation of health services through the effects on built, social and institutional infrastructures which support health and health care, and also because of changes in service demand as extreme weather impacts on human health. Strategic planning for extreme weather and impacts on the care system should be sensitive to within country variations. Adaptation will require changes to built infrastructure systems (including transport and utilities as well as individual care facilities) and also to institutional and social infrastructure supporting the health care system. Care sector organisations, communities and individuals need to adapt their practices to improve resilience of health and health care to extreme weather. Preparedness and emergency response strategies call for action extending beyond the emergency response services, to include health and social care providers more generally.Electronic supplementary materialThe online version of this article (10.1186/s12940-017-0324-3) contains supplementary material, which is available to authorized users.

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Section: Potential For Adaptation Of Infrastructure Design and Practimentioning

confidence: 99%

Impact of extreme weather events and climate change for health and social care systems

et al. 2017

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“…This concept has been used, for instance, in the fields of agriculture 19 , health care 20 and water resources 21 , 22 . Adaptive management is expected to become an important tool for public health policy makers where knowledge concerning trends in climate extremes can be used for mitigation and preparedness 23 . Non stationary TDF curves can also be used to integrate information concerning future temperature extreme characteristics in the design, operation, and safety analysis of thermal and nuclear power plants 24 .…”

Section: Introductionmentioning

confidence: 99%

Nonstationary Temperature-Duration-Frequency curves

Ouarda¹,

Charron²

2018

Sci Rep

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Persistent extreme heat events are of growing concern in a climate change context. An increase in the intensity, frequency and duration of heat waves is observed in several regions. Temperature extremes are also influenced by global-scale modes of climate variability. Temperature-Duration-Frequency (TDF) curves, which relate the intensity of heat events of different durations to their frequencies, can be useful tools for the analysis of heat extremes. To account for climate external forcings, we develop a nonstationary approach to the TDF curves by introducing indices that account for the temporal trend and teleconnections. Nonstationary TDF modeling can find applications in adaptive management in the fields of health care, public safety and energy production. We present a one-step method, based on the maximization of the composite likelihood of observed heat extremes, to build the nonstationary TDF curves. We show the importance of integrating the information concerning climate change and climate oscillations. In an application to the province of Quebec, Canada, the influence of Atlantic Multidecadal Oscillations (AMO) on heat events is shown to be more important than the temporal trend.

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“…For nonemergency medical care, conservative limits of less than 30 min of travel time do not notably affect the results. Based on a buffering study of medical facilities (Paterson, Berry, Ebi, & Varangu, 2014), 30 min of vehicle travel (20–30 miles) is a reasonable cutoff value on average. In this study, we mapped the service area using the standard 30 min of vehicle travel (equal to a 20–30 mile radius) to identify hospital services that were categorized with 5 min of impedance (Miller, 1999).…”

Section: Methodsmentioning

confidence: 99%

Environment resilience and public health: Assessing healthcare's vulnerability to climate change in the San Francisco Bay Area

et al. 2020

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This study investigated the vulnerability of people's health to the impact of climate change on healthcare accessibility in the San Francisco Bay Area. The study developed spatial analysis models in ArcGIS with a high-resolution elevation data set (1 m raster base map) and summarized the scenario assessments of the associations between healthcare and the populations vulnerable to the effects of climate change. The results reveal that 34.3% of low-income households could reach hospitals in the baseline scenario. In the peak water level (PWL) (140) scenario, 33.3% of low-income households were within 30 min of the nearest hospital. In the baseline scenario, hospitals were accessible to 35.9% of the general population, whereas in the PWL (140) scenario the percentage was slightly lower, with 35.1% having access to hospitals. Healthcare reform increased the accessibility of hospitals to low-income households, and these populations had equal access in the PWL (140) scenario. However, access to healthcare is controlled by distance and other variables, including income, insurance, spatial distribution, and transportation mobility. The findings and implications of this study address the explicit recognition in strategic planning of the effects of climate change in adopting policies to benefit health in the future. 608 | CHEN Et al.

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Health Care Facilities Resilient to Climate Change Impacts

Cited by 72 publications

References 36 publications

Impact of extreme weather events and climate change for health and social care systems

Impact of extreme weather events and climate change for health and social care systems

Nonstationary Temperature-Duration-Frequency curves

Environment resilience and public health: Assessing healthcare's vulnerability to climate change in the San Francisco Bay Area

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