Using Newly Linked Data to Assess Equity of Out-Of-Pocket Healthcare Costs in Australia

Hsei Di Law; Nicholas Biddle; Emily Lancsar; Jennifer Welsh; Danielle Butler; Rosemary Korda

doi:10.23889/ijpds.v5i5.1594

Abstract

Describing out-of-pocket (OOP) healthcare costs in relation to ability to pay requires multiple linked data sources not previously available. Current estimates of the progressivity of OOP healthcare costs in Australia are based on self-report surveys. Using newly linked Census to administrative income and medical claims data, we aimed to quantify, for the first time, the progressivity of OOP costs for government-subsidised out-of-hospital healthcare in Australia.

Original language	English
Journal	Vol. 5 No. 5 (2020): Conference Proceedings for International Population Data Linkage Conference 2020
Volume	5
Issue number	5
DOIs	https://doi.org/10.23889/ijpds.v5i5.1594
Publication status	Published - 2020
Event	International Population Data Linkage Conference 2020 - Data Linkage: Information to Impact - Virtual Conference Duration: 1 Jan 2021 → … https://ipdlnconference.org/

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title = "Using Newly Linked Data to Assess Equity of Out-Of-Pocket Healthcare Costs in Australia",

abstract = "Describing out-of-pocket (OOP) healthcare costs in relation to ability to pay requires multiple linked data sources not previously available. Current estimates of the progressivity of OOP healthcare costs in Australia are based on self-report surveys. Using newly linked Census to administrative income and medical claims data, we aimed to quantify, for the first time, the progressivity of OOP costs for government-subsidised out-of-hospital healthcare in Australia.",

author = "Law, \{Hsei Di\} and Nicholas Biddle and Emily Lancsar and Jennifer Welsh and Danielle Butler and Rosemary Korda",

year = "2020",

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note = "International Population Data Linkage Conference 2020 - Data Linkage: Information to Impact ; Conference date: 01-01-2021",

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T1 - Using Newly Linked Data to Assess Equity of Out-Of-Pocket Healthcare Costs in Australia

AU - Law, Hsei Di

AU - Biddle, Nicholas

AU - Lancsar, Emily

AU - Welsh, Jennifer

AU - Butler, Danielle

AU - Korda, Rosemary

PY - 2020

Y1 - 2020

N2 - Describing out-of-pocket (OOP) healthcare costs in relation to ability to pay requires multiple linked data sources not previously available. Current estimates of the progressivity of OOP healthcare costs in Australia are based on self-report surveys. Using newly linked Census to administrative income and medical claims data, we aimed to quantify, for the first time, the progressivity of OOP costs for government-subsidised out-of-hospital healthcare in Australia.

AB - Describing out-of-pocket (OOP) healthcare costs in relation to ability to pay requires multiple linked data sources not previously available. Current estimates of the progressivity of OOP healthcare costs in Australia are based on self-report surveys. Using newly linked Census to administrative income and medical claims data, we aimed to quantify, for the first time, the progressivity of OOP costs for government-subsidised out-of-hospital healthcare in Australia.

U2 - 10.23889/ijpds.v5i5.1594

DO - 10.23889/ijpds.v5i5.1594

M3 - Meeting Abstract

SN - 2399-4908

VL - 5

JO - Vol. 5 No. 5 (2020): Conference Proceedings for International Population Data Linkage Conference 2020

JF - Vol. 5 No. 5 (2020): Conference Proceedings for International Population Data Linkage Conference 2020

IS - 5

T2 - International Population Data Linkage Conference 2020 - Data Linkage: Information to Impact

Y2 - 1 January 2021

ER -

Using Newly Linked Data to Assess Equity of Out-Of-Pocket Healthcare Costs in Australia

Abstract

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