Beyond DRG: the effect of socio-economic indicators on inpatient resource allocation in Australia
Beyond DRG: the effect of socio-economic indicators on inpatient resource allocation in Australia
Financing in Australia's public hospital works through the Australian Refined Diagnosis Related Groups (AR-DRGs) with separations to specific DRG groups based on medical diagnosis or surgical procedure, patient's age, mode of separation, clinical complexity and complications. This paper aims at assessing how the AR-DRGs reflect the efficiency and equity of the hospitals resource allocation. Using administrative data of all acute public hospital admissions and length of stay (LOS) as a proxy for hospital costs, this paper showed that patients’ socio-economic (SES) characteristics are a strong determinant of health care utilization. Our results revealed that the lower the SES, the longer the LOS and hence more utilization of the inpatient resources. Therefore, omitting SES from the risk adjusters list and solely focusing on DRG- based compensation penalizes hospitals catering to lower SES populations. Our findings further support the idea of smaller/remote hospitals based on block funding.
Australia, Diagnosis Related Groups (DRG), Length of stay, Socio-economic status
302-309
Hasanova, Renata
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Mentzakis, Emmanouil
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Paolucci, Francesco
073b630d-7adc-41ee-b198-6b33bcacce6c
Shmueli, Amir
142ced37-e489-45a2-afe6-084fde7fdda5
September 2018
Hasanova, Renata
a43c5ae9-d425-4b2f-9f6f-f72e34a8b96e
Mentzakis, Emmanouil
c0922185-18c7-49c2-a659-8ee6d89b5d74
Paolucci, Francesco
073b630d-7adc-41ee-b198-6b33bcacce6c
Shmueli, Amir
142ced37-e489-45a2-afe6-084fde7fdda5
Hasanova, Renata, Mentzakis, Emmanouil, Paolucci, Francesco and Shmueli, Amir
(2018)
Beyond DRG: the effect of socio-economic indicators on inpatient resource allocation in Australia.
Health Policy and Technology, 7 (3), .
(doi:10.1016/j.hlpt.2018.07.001).
Abstract
Financing in Australia's public hospital works through the Australian Refined Diagnosis Related Groups (AR-DRGs) with separations to specific DRG groups based on medical diagnosis or surgical procedure, patient's age, mode of separation, clinical complexity and complications. This paper aims at assessing how the AR-DRGs reflect the efficiency and equity of the hospitals resource allocation. Using administrative data of all acute public hospital admissions and length of stay (LOS) as a proxy for hospital costs, this paper showed that patients’ socio-economic (SES) characteristics are a strong determinant of health care utilization. Our results revealed that the lower the SES, the longer the LOS and hence more utilization of the inpatient resources. Therefore, omitting SES from the risk adjusters list and solely focusing on DRG- based compensation penalizes hospitals catering to lower SES populations. Our findings further support the idea of smaller/remote hospitals based on block funding.
Text
Beyond_DRG
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Accepted/In Press date: 14 July 2018
e-pub ahead of print date: 21 July 2018
Published date: September 2018
Keywords:
Australia, Diagnosis Related Groups (DRG), Length of stay, Socio-economic status
Identifiers
Local EPrints ID: 424480
URI: http://eprints.soton.ac.uk/id/eprint/424480
ISSN: 2211-8837
PURE UUID: 0b09b118-e5b5-48ac-a28b-5a64b19e5cf0
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Date deposited: 05 Oct 2018 11:37
Last modified: 16 Mar 2024 07:02
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Contributors
Author:
Renata Hasanova
Author:
Francesco Paolucci
Author:
Amir Shmueli
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