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Health care during electricity failure: The hidden costs

BACKGROUND: Surgery risks increase when electricity is accessible but unreliable. During unreliable electricity events and without data on increased risk to patients, medical professionals base their decisions on anecdotal experience. Decisions should be made based on a cost-benefit analysis, but no...

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Autores principales: Mechtenberg, Abigail, McLaughlin, Brady, DiGaetano, Michael, Awodele, Abigail, Omeeboh, Leslie, Etwalu, Emmanuel, Nanjula, Lydia, Musaazi, Moses, Shrime, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641375/
https://www.ncbi.nlm.nih.gov/pubmed/33147212
http://dx.doi.org/10.1371/journal.pone.0235760
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author Mechtenberg, Abigail
McLaughlin, Brady
DiGaetano, Michael
Awodele, Abigail
Omeeboh, Leslie
Etwalu, Emmanuel
Nanjula, Lydia
Musaazi, Moses
Shrime, Mark
author_facet Mechtenberg, Abigail
McLaughlin, Brady
DiGaetano, Michael
Awodele, Abigail
Omeeboh, Leslie
Etwalu, Emmanuel
Nanjula, Lydia
Musaazi, Moses
Shrime, Mark
author_sort Mechtenberg, Abigail
collection PubMed
description BACKGROUND: Surgery risks increase when electricity is accessible but unreliable. During unreliable electricity events and without data on increased risk to patients, medical professionals base their decisions on anecdotal experience. Decisions should be made based on a cost-benefit analysis, but no methodology exists to quantify these risks, the associated hidden costs, nor risk charts to compare alternatives. METHODS: Two methodologies were created to quantify these hidden costs. In the first methodology through research literature and/or measurements, the authors obtained and analyzed a year’s worth of hour-by-hour energy failures for four energy healthcare system (EHS) types in four regions (SolarPV in Iraq, Hydroelectric in Ghana, SolarPV+Wind in Bangladesh, and Grid+Diesel in Uganda). In the second methodology, additional patient risks were calculated according to time and duration of electricity failure and medical procedure impact type. Combining these methodologies, the cost from the Value of Statistical Lives lost divided by Energy shortage ($/kWh) is calculated for EHS type and region specifically. The authors define hidden costs due to electricity failure as VSL/E ($/kWh) and compare this to traditional electricity costs (always defined in $/kWh units), including Levelized Cost of Electricity (LCOE also in $/kWh). This is quantified into a fundamentally new energy healthcare system risk chart (EHS-Risk Chart) based on severity of event (probability of deaths) and likelihood of event (probability of electricity failure). RESULTS: VSL/E costs were found to be 10 to 10,000 times traditional electricity costs (electric utility or LCOE based). The single power source EHS types have higher risks than hybridized EHS types (especially as power loads increase over time), but all EHS types have additional risks to patients due to electricity failure (between 3 to 105 deaths per 1,000 patients). CONCLUSIONS: These electricity failure risks and hidden healthcare costs can now be calculated and charted to make medical decisions based on a risk chart instead of anecdotal experience. This risk chart connects public health and electricity failure using this adaptable, scalable, and verifiable model.
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spelling pubmed-76413752020-11-16 Health care during electricity failure: The hidden costs Mechtenberg, Abigail McLaughlin, Brady DiGaetano, Michael Awodele, Abigail Omeeboh, Leslie Etwalu, Emmanuel Nanjula, Lydia Musaazi, Moses Shrime, Mark PLoS One Research Article BACKGROUND: Surgery risks increase when electricity is accessible but unreliable. During unreliable electricity events and without data on increased risk to patients, medical professionals base their decisions on anecdotal experience. Decisions should be made based on a cost-benefit analysis, but no methodology exists to quantify these risks, the associated hidden costs, nor risk charts to compare alternatives. METHODS: Two methodologies were created to quantify these hidden costs. In the first methodology through research literature and/or measurements, the authors obtained and analyzed a year’s worth of hour-by-hour energy failures for four energy healthcare system (EHS) types in four regions (SolarPV in Iraq, Hydroelectric in Ghana, SolarPV+Wind in Bangladesh, and Grid+Diesel in Uganda). In the second methodology, additional patient risks were calculated according to time and duration of electricity failure and medical procedure impact type. Combining these methodologies, the cost from the Value of Statistical Lives lost divided by Energy shortage ($/kWh) is calculated for EHS type and region specifically. The authors define hidden costs due to electricity failure as VSL/E ($/kWh) and compare this to traditional electricity costs (always defined in $/kWh units), including Levelized Cost of Electricity (LCOE also in $/kWh). This is quantified into a fundamentally new energy healthcare system risk chart (EHS-Risk Chart) based on severity of event (probability of deaths) and likelihood of event (probability of electricity failure). RESULTS: VSL/E costs were found to be 10 to 10,000 times traditional electricity costs (electric utility or LCOE based). The single power source EHS types have higher risks than hybridized EHS types (especially as power loads increase over time), but all EHS types have additional risks to patients due to electricity failure (between 3 to 105 deaths per 1,000 patients). CONCLUSIONS: These electricity failure risks and hidden healthcare costs can now be calculated and charted to make medical decisions based on a risk chart instead of anecdotal experience. This risk chart connects public health and electricity failure using this adaptable, scalable, and verifiable model. Public Library of Science 2020-11-04 /pmc/articles/PMC7641375/ /pubmed/33147212 http://dx.doi.org/10.1371/journal.pone.0235760 Text en © 2020 Mechtenberg et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mechtenberg, Abigail
McLaughlin, Brady
DiGaetano, Michael
Awodele, Abigail
Omeeboh, Leslie
Etwalu, Emmanuel
Nanjula, Lydia
Musaazi, Moses
Shrime, Mark
Health care during electricity failure: The hidden costs
title Health care during electricity failure: The hidden costs
title_full Health care during electricity failure: The hidden costs
title_fullStr Health care during electricity failure: The hidden costs
title_full_unstemmed Health care during electricity failure: The hidden costs
title_short Health care during electricity failure: The hidden costs
title_sort health care during electricity failure: the hidden costs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641375/
https://www.ncbi.nlm.nih.gov/pubmed/33147212
http://dx.doi.org/10.1371/journal.pone.0235760
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