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
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作者:
Boyle, Luke
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Univ Auckland, Dept Stat, Auckland, New ZealandUniv Auckland, Dept Stat, Auckland, New Zealand
Boyle, Luke
[1
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Curtis, Elana
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Univ Auckland, Te Kupenga Hauora Maori, Auckland, New ZealandUniv Auckland, Dept Stat, Auckland, New Zealand
Curtis, Elana
[2
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Paine, Sarah-Jane
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Univ Auckland, Te Kupenga Hauora Maori, Auckland, New ZealandUniv Auckland, Dept Stat, Auckland, New Zealand
Paine, Sarah-Jane
[2
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Tamatea, Jade
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Univ Auckland, Te Kupenga Hauora Maori, Auckland, New Zealand
Univ Waikato, Waikato Med Res Ctr, Hamilton, New ZealandUniv Auckland, Dept Stat, Auckland, New Zealand
Tamatea, Jade
[2
,3
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Lumley, Thomas
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Univ Auckland, Dept Stat, Auckland, New ZealandUniv Auckland, Dept Stat, Auckland, New Zealand
Lumley, Thomas
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Merry, Alan Forbes
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Univ Auckland, Dept Anaesthesiol, Auckland, New ZealandUniv Auckland, Dept Stat, Auckland, New Zealand
Merry, Alan Forbes
[4
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机构:
[1] Univ Auckland, Dept Stat, Auckland, New Zealand
[2] Univ Auckland, Te Kupenga Hauora Maori, Auckland, New Zealand
[3] Univ Waikato, Waikato Med Res Ctr, Hamilton, New Zealand
[4] Univ Auckland, Dept Anaesthesiol, Auckland, New Zealand
IntroductionIn Aotearoa New Zealand (NZ), socioeconomic status and being of Maori 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 Maori and non-Maori 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 Maori and non-Maori at a hospital in NZ across a range of operations. Methods and analysisWe 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 Maori and non-Maori 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 Maori research positioning, acknowledging that Maori health outcomes are directly tied to the unequal distribution of the social determinants of health. Ethics and disseminationEthics 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 Maori-specific hui (meetings), social media and lay press.