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Guidelines for Modeling and Reporting Health Effects of Climate Change Mitigation Actions.

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Title: Guidelines for Modeling and Reporting Health Effects of Climate Change Mitigation Actions.
Authors: Hess, Jeremy J.1 jjhess@uw.edu, Ranadive, Nikhil2, Boyer, Chris1, Aleksandrowicz, Lukasz3, Anenberg, Susan C.4, Aunan, Kristin5, Belesova, Kristine6,7, Bell, Michelle L.8, Bickersteth, Sam9, Bowen, Kathryn10, Burden, Marci1, Campbell-Lendrum, Diarmid11, Carlton, Elizabeth12, Cissé, Guéladio13,14, Cohen, Francois15, Hancheng Dai16,17, David Dangour, Alan7, Dasgupta, Purnamita18, Frumkin, Howard3, Peng Gong19
Source: Environmental Health Perspectives. Nov2020, Vol. 128 Issue 11, p115001-1-115001-10. 10p. 3 Diagrams.
Subject Terms: *Climate change, *Environmental health, *Environmental exposure, Conceptual structures, Health policy, Evidence-based medicine, Professional practice, Population health, Stakeholder analysis
Abstract: BACKGROUND: Modeling suggests that climate change mitigation actions can have substantial human health benefits that accrue quickly and locally. Documenting the benefits can help drive more ambitious and health-protective climate change mitigation actions; however, documenting the adverse health effects can help to avoid them. Estimating the health effects of mitigation (HEM) actions can help policy makers prioritize investments based not only on mitigation potential but also on expected health benefits. To date, however, the wide range of incompatible approaches taken to developing and reporting HEM estimates has limited their comparability and usefulness to policymakers. OBJECTIVE: The objective of this effort was to generate guidance for modeling studies on scoping, estimating, and reporting population health effects from climate change mitigation actions. METHODS: An expert panel of HEM researchers was recruited to participate in developing guidance for conducting HEM studies. The primary literature and a synthesis of HEM studies were provided to the panel. Panel members then participated in a modified Delphi exercise to identify areas of consensus regarding HEM estimation. Finally, the panel met to review and discuss consensus findings, resolve remaining differences, and generate guidance regarding conducting HEM studies. RESULTS: The panel generated a checklist of recommendations regarding stakeholder engagement: HEM modeling, including model structure, scope and scale, demographics, time horizons, counterfactuals, health response functions, and metrics; parameterization and reporting; approaches to uncertainty and sensitivity analysis; accounting for policy uptake; and discounting. DISCUSSION: This checklist provides guidance for conducting and reporting HEM estimates to make them more comparable and useful for policymakers. Harmonization of HEM estimates has the potential to lead to advances in and improved synthesis of policy-relevant research that can inform evidence-based decision making and practice. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Guidelines for Modeling and Reporting Health Effects of Climate Change Mitigation Actions.
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  Data: <searchLink fieldCode="AR" term="%22Hess%2C+Jeremy+J%2E%22">Hess, Jeremy J.</searchLink><relatesTo>1</relatesTo><i> jjhess@uw.edu</i><br /><searchLink fieldCode="AR" term="%22Ranadive%2C+Nikhil%22">Ranadive, Nikhil</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Boyer%2C+Chris%22">Boyer, Chris</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Aleksandrowicz%2C+Lukasz%22">Aleksandrowicz, Lukasz</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Anenberg%2C+Susan+C%2E%22">Anenberg, Susan C.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Aunan%2C+Kristin%22">Aunan, Kristin</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Belesova%2C+Kristine%22">Belesova, Kristine</searchLink><relatesTo>6,7</relatesTo><br /><searchLink fieldCode="AR" term="%22Bell%2C+Michelle+L%2E%22">Bell, Michelle L.</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Bickersteth%2C+Sam%22">Bickersteth, Sam</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AR" term="%22Bowen%2C+Kathryn%22">Bowen, Kathryn</searchLink><relatesTo>10</relatesTo><br /><searchLink fieldCode="AR" term="%22Burden%2C+Marci%22">Burden, Marci</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Campbell-Lendrum%2C+Diarmid%22">Campbell-Lendrum, Diarmid</searchLink><relatesTo>11</relatesTo><br /><searchLink fieldCode="AR" term="%22Carlton%2C+Elizabeth%22">Carlton, Elizabeth</searchLink><relatesTo>12</relatesTo><br /><searchLink fieldCode="AR" term="%22Ciss%26#233%2C+Guéladio%22">Ciss&#233, Guéladio</searchLink><relatesTo>13,14</relatesTo><br /><searchLink fieldCode="AR" term="%22Cohen%2C+Francois%22">Cohen, Francois</searchLink><relatesTo>15</relatesTo><br /><searchLink fieldCode="AR" term="%22Hancheng+Dai%22">Hancheng Dai</searchLink><relatesTo>16,17</relatesTo><br /><searchLink fieldCode="AR" term="%22David+Dangour%2C+Alan%22">David Dangour, Alan</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Dasgupta%2C+Purnamita%22">Dasgupta, Purnamita</searchLink><relatesTo>18</relatesTo><br /><searchLink fieldCode="AR" term="%22Frumkin%2C+Howard%22">Frumkin, Howard</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Peng+Gong%22">Peng Gong</searchLink><relatesTo>19</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Nov2020, Vol. 128 Issue 11, p115001-1-115001-10. 10p. 3 Diagrams.
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  Data: *<searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+health%22">Environmental health</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+exposure%22">Environmental exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Conceptual+structures%22">Conceptual structures</searchLink><br /><searchLink fieldCode="DE" term="%22Health+policy%22">Health policy</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence-based+medicine%22">Evidence-based medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+practice%22">Professional practice</searchLink><br /><searchLink fieldCode="DE" term="%22Population+health%22">Population health</searchLink><br /><searchLink fieldCode="DE" term="%22Stakeholder+analysis%22">Stakeholder analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: BACKGROUND: Modeling suggests that climate change mitigation actions can have substantial human health benefits that accrue quickly and locally. Documenting the benefits can help drive more ambitious and health-protective climate change mitigation actions; however, documenting the adverse health effects can help to avoid them. Estimating the health effects of mitigation (HEM) actions can help policy makers prioritize investments based not only on mitigation potential but also on expected health benefits. To date, however, the wide range of incompatible approaches taken to developing and reporting HEM estimates has limited their comparability and usefulness to policymakers. OBJECTIVE: The objective of this effort was to generate guidance for modeling studies on scoping, estimating, and reporting population health effects from climate change mitigation actions. METHODS: An expert panel of HEM researchers was recruited to participate in developing guidance for conducting HEM studies. The primary literature and a synthesis of HEM studies were provided to the panel. Panel members then participated in a modified Delphi exercise to identify areas of consensus regarding HEM estimation. Finally, the panel met to review and discuss consensus findings, resolve remaining differences, and generate guidance regarding conducting HEM studies. RESULTS: The panel generated a checklist of recommendations regarding stakeholder engagement: HEM modeling, including model structure, scope and scale, demographics, time horizons, counterfactuals, health response functions, and metrics; parameterization and reporting; approaches to uncertainty and sensitivity analysis; accounting for policy uptake; and discounting. DISCUSSION: This checklist provides guidance for conducting and reporting HEM estimates to make them more comparable and useful for policymakers. Harmonization of HEM estimates has the potential to lead to advances in and improved synthesis of policy-relevant research that can inform evidence-based decision making and practice. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1289/EHP6745
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        Text: English
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      – SubjectFull: Climate change
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      – SubjectFull: Environmental health
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      – SubjectFull: Environmental exposure
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      – SubjectFull: Population health
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      – SubjectFull: Stakeholder analysis
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