Cargando…

CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES

Nine U.S. jurisdictions have legal Medical Aid in Dying (MAID) and produce publicly available data on the use of MAID. We performed a retrospective observational cohort study of MAID data from Oregon, Washington, California, Colorado, Washington DC, Vermont, Hawaii, New Jersey, and Maine. We investi...

Descripción completa

Detalles Bibliográficos
Autores principales: Nowels, Molly, Kozlov, Elissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765669/
http://dx.doi.org/10.1093/geroni/igac059.161
_version_ 1784853545114140672
author Nowels, Molly
Kozlov, Elissa
author_facet Nowels, Molly
Kozlov, Elissa
author_sort Nowels, Molly
collection PubMed
description Nine U.S. jurisdictions have legal Medical Aid in Dying (MAID) and produce publicly available data on the use of MAID. We performed a retrospective observational cohort study of MAID data from Oregon, Washington, California, Colorado, Washington DC, Vermont, Hawaii, New Jersey, and Maine. We investigated the total number of deaths from self-administered lethal medications, number of prescriptions for MAID written, characteristics of MAID users and requesters, and challenges of aggregating these data. Over the last 22 years of publicly available data from all states or jurisdictions that have legalized MAID, demographics data was collected for 1,949 people who died by MAID. Persons using MAID were more likely to be non-Hispanic white (95.6%), have some college education (72.2% vs. 26.2%) and a cancer diagnosis (74.0% cancer, 10.9% neurological illness, 15.1% other). Patients who died from MAID prescription ingestion were more likely to have insurance (88.9% insured vs 11.1% uninsured or unknown). Aggregating data came with multiple challenges including states collecting data on different populations (deaths vs prescriptions), with different variable categories, and for different time intervals for reports. More research is needed to better understand why MAID is currently being accessed by an overwhelmingly white, educated, and insured population. This research also highlighted the need for a national research agenda on Medical Aid in Dying. As more states plan to adopt MAID legislation, having standardized data collection elements will help to elucidate how these policies are being implemented and accessed.
format Online
Article
Text
id pubmed-9765669
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-97656692022-12-20 CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES Nowels, Molly Kozlov, Elissa Innov Aging Abstracts Nine U.S. jurisdictions have legal Medical Aid in Dying (MAID) and produce publicly available data on the use of MAID. We performed a retrospective observational cohort study of MAID data from Oregon, Washington, California, Colorado, Washington DC, Vermont, Hawaii, New Jersey, and Maine. We investigated the total number of deaths from self-administered lethal medications, number of prescriptions for MAID written, characteristics of MAID users and requesters, and challenges of aggregating these data. Over the last 22 years of publicly available data from all states or jurisdictions that have legalized MAID, demographics data was collected for 1,949 people who died by MAID. Persons using MAID were more likely to be non-Hispanic white (95.6%), have some college education (72.2% vs. 26.2%) and a cancer diagnosis (74.0% cancer, 10.9% neurological illness, 15.1% other). Patients who died from MAID prescription ingestion were more likely to have insurance (88.9% insured vs 11.1% uninsured or unknown). Aggregating data came with multiple challenges including states collecting data on different populations (deaths vs prescriptions), with different variable categories, and for different time intervals for reports. More research is needed to better understand why MAID is currently being accessed by an overwhelmingly white, educated, and insured population. This research also highlighted the need for a national research agenda on Medical Aid in Dying. As more states plan to adopt MAID legislation, having standardized data collection elements will help to elucidate how these policies are being implemented and accessed. Oxford University Press 2022-12-20 /pmc/articles/PMC9765669/ http://dx.doi.org/10.1093/geroni/igac059.161 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Nowels, Molly
Kozlov, Elissa
CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES
title CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES
title_full CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES
title_fullStr CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES
title_full_unstemmed CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES
title_short CHALLENGES ASSOCIATED WITH AND LESSONS LEARNED FROM AGGREGATING MEDICAL AID IN DYING DATA IN THE UNITED STATES
title_sort challenges associated with and lessons learned from aggregating medical aid in dying data in the united states
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765669/
http://dx.doi.org/10.1093/geroni/igac059.161
work_keys_str_mv AT nowelsmolly challengesassociatedwithandlessonslearnedfromaggregatingmedicalaidindyingdataintheunitedstates
AT kozlovelissa challengesassociatedwithandlessonslearnedfromaggregatingmedicalaidindyingdataintheunitedstates