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Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis

INTRODUCTION: In Aotearoa New Zealand (NZ), socioeconomic status and being of Māori ethnicity are often associated with poorer health outcomes, including after surgery. Inequities can be partially explained by differences in health status and health system biases are hypothesised as important factor...

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Autores principales: Boyle, Luke, Curtis, Elana, Paine, Sarah-Jane, Tamatea, Jade, Lumley, Thomas, Merry, Alan Forbes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10387619/
https://www.ncbi.nlm.nih.gov/pubmed/37518091
http://dx.doi.org/10.1136/bmjopen-2022-066876
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author Boyle, Luke
Curtis, Elana
Paine, Sarah-Jane
Tamatea, Jade
Lumley, Thomas
Merry, Alan Forbes
author_facet Boyle, Luke
Curtis, Elana
Paine, Sarah-Jane
Tamatea, Jade
Lumley, Thomas
Merry, Alan Forbes
author_sort Boyle, Luke
collection PubMed
description INTRODUCTION: In Aotearoa New Zealand (NZ), socioeconomic status and being of Māori ethnicity are often associated with poorer health outcomes, including after surgery. Inequities can be partially explained by differences in health status and health system biases are hypothesised as important factors for remaining inequities. Previous work identified inequities between Māori and non-Māori following cardiovascular surgery, some of which have been identified in studies between 1990 and 2012. Days Alive and Out of Hospital (DAOH) is an emerging surgical outcome metric. DAOH is a composite measure of outcomes, which may reflect patient experience and longer periods of DAOH may also reflect extended interactions with the health system. Recently, a 1.1-day difference in DAOH was observed between Māori and non-Māori at a hospital in NZ across a range of operations. METHODS AND ANALYSIS: We will conduct a secondary data analysis using data from the National Minimum Data Set, maintained by the Ministry of Health. We will report unadjusted and risk-adjusted DAOH values between Māori and non-Māori using direct risk standardisation. We will risk adjust first for age and sex, then for each of deprivation (NZDep18), levels of morbidity (M3 score) and rurality. We will report DAOH values across three time periods, 30, 90 and 365 days and across nine deciles of the DAOH distribution (0.1–0.9 inclusive). We will interpret all results from a Kaupapa Māori research positioning, acknowledging that Māori health outcomes are directly tied to the unequal distribution of the social determinants of health. ETHICS AND DISSEMINATION: Ethics approval for this study was given by the Auckland Health Research Ethics Committee. Outputs from this study are likely to interest a range of audiences. We plan to disseminate our findings through academic channels, presentations to interested groups including Māori-specific hui (meetings), social media and lay press.
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spelling pubmed-103876192023-08-01 Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis Boyle, Luke Curtis, Elana Paine, Sarah-Jane Tamatea, Jade Lumley, Thomas Merry, Alan Forbes BMJ Open Surgery INTRODUCTION: In Aotearoa New Zealand (NZ), socioeconomic status and being of Māori ethnicity are often associated with poorer health outcomes, including after surgery. Inequities can be partially explained by differences in health status and health system biases are hypothesised as important factors for remaining inequities. Previous work identified inequities between Māori and non-Māori following cardiovascular surgery, some of which have been identified in studies between 1990 and 2012. Days Alive and Out of Hospital (DAOH) is an emerging surgical outcome metric. DAOH is a composite measure of outcomes, which may reflect patient experience and longer periods of DAOH may also reflect extended interactions with the health system. Recently, a 1.1-day difference in DAOH was observed between Māori and non-Māori at a hospital in NZ across a range of operations. METHODS AND ANALYSIS: We will conduct a secondary data analysis using data from the National Minimum Data Set, maintained by the Ministry of Health. We will report unadjusted and risk-adjusted DAOH values between Māori and non-Māori using direct risk standardisation. We will risk adjust first for age and sex, then for each of deprivation (NZDep18), levels of morbidity (M3 score) and rurality. We will report DAOH values across three time periods, 30, 90 and 365 days and across nine deciles of the DAOH distribution (0.1–0.9 inclusive). We will interpret all results from a Kaupapa Māori research positioning, acknowledging that Māori health outcomes are directly tied to the unequal distribution of the social determinants of health. ETHICS AND DISSEMINATION: Ethics approval for this study was given by the Auckland Health Research Ethics Committee. Outputs from this study are likely to interest a range of audiences. We plan to disseminate our findings through academic channels, presentations to interested groups including Māori-specific hui (meetings), social media and lay press. BMJ Publishing Group 2023-07-30 /pmc/articles/PMC10387619/ /pubmed/37518091 http://dx.doi.org/10.1136/bmjopen-2022-066876 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Surgery
Boyle, Luke
Curtis, Elana
Paine, Sarah-Jane
Tamatea, Jade
Lumley, Thomas
Merry, Alan Forbes
Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis
title Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis
title_full Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis
title_fullStr Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis
title_full_unstemmed Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis
title_short Using Days Alive and Out of Hospital to measure inequities and possible pathways for them after cardiovascular surgery in Aotearoa New Zealand: study protocol for a secondary data analysis
title_sort using days alive and out of hospital to measure inequities and possible pathways for them after cardiovascular surgery in aotearoa new zealand: study protocol for a secondary data analysis
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10387619/
https://www.ncbi.nlm.nih.gov/pubmed/37518091
http://dx.doi.org/10.1136/bmjopen-2022-066876
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