Predictors of EQ-5D-3L outcomes amongst injured Māori: 1-year post-injury findings from a New Zealand cohort study

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Abstract

Purpose

Māori, the Indigenous population of New Zealand (NZ), are at higher risk of problems with health-related quality of life (HRQoL) 12 months following injury. This paper examines pre-injury sociodemographic and health characteristics and injury-related factors, including healthcare access, and their association with HRQoL outcomes 12 months after injury.

Methods

The Prospective Outcomes of Injury Study recruited 2856 injured New Zealanders aged 18–64 years from the entitlement claims register of the country’s no-fault injury insurance agency. One-fifth ( n = 566) of the cohort were Māori. Information on predictors and outcomes, with the exception of injury and hospitalisation, was obtained directly from participants at approximately 3 and 12 months post-injury. The outcomes of interest were responses to the five dimensions of the EQ-5D-3L and a dichotomous measure obtained by summing scored responses to each question. Modified Poisson regression was used to identify predictors of each outcome at 12 months post-injury.

Results

Predictors differed by outcome. Being female, experiencing EQ-5D-3L problems pre-injury, having ≥ 2 chronic conditions pre-injury, perceiving one’s injury to be a threat of long-term disability, and having trouble accessing health services for injury were common predictors of EQ-5D-3L problems at 12 months post-injury for Māori.

Conclusion

Opportunities exist to improve HRQoL outcomes by identifying individuals in the early stages of injury recovery who may benefit from further treatment and support.

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Most cited references 38

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Author and article information

Contributors

Emma Wyeth:

ORCID: http://orcid.org/0000-0002-6869-5190

emma.wyeth@otago.ac.nz

Journal

Journal ID (nlm-ta): Qual Life Res

Journal ID (iso-abbrev): Qual Life Res

Title: Quality of Life Research

Publisher: Springer International Publishing (Cham )

ISSN (Print): 0962-9343

ISSN (Electronic): 1573-2649

Publication date (Electronic): 25 January 2022

Publication date PMC-release: 25 January 2022

Pages: 1-13

Affiliations

[1 ]GRID grid.29980.3a, ISNI 0000 0004 1936 7830, Department of Preventive and Social Medicine, Dunedin School of Medicine, , Te Roopū Rakahau Hauora Māori a Kāi Tahu (Ngāi Tahu Māori Health Research Unit), University of Otago, ; PO Box 56, Dunedin, 9054 New Zealand

[2 ]GRID grid.29980.3a, ISNI 0000 0004 1936 7830, Biostatistics Centre, Division of Health Sciences, , University of Otago, ; Dunedin, New Zealand

Author information

Brett Maclennan http://orcid.org/0000-0001-7212-6225

Emma Wyeth http://orcid.org/0000-0002-6869-5190

Ari Samaranayaka http://orcid.org/0000-0003-4933-9569

Sarah Derrett http://orcid.org/0000-0003-2867-0498

Article

Publisher ID: 3085

DOI: 10.1007/s11136-022-03085-3

PMC ID: 8787030

PubMed ID: 35076826

SO-VID: c2b4952f-1891-4d1b-9e6c-4de42874c91a

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

History

Date accepted : 7 January 2022

Funding

Funded by: Health Research Council of New Zealand

Award ID: 10/052

Award Recipient : Sarah Derrett

Funded by: FundRef http://dx.doi.org/10.13039/100007598, Accident Compensation Corporation;

Predictors of EQ-5D-3L outcomes amongst injured Māori: 1-year post-injury findings from a New Zealand cohort study

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Global Health Next Generation Network

Most cited references 38

A modified poisson regression approach to prospective studies with binary data.

The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test.

EQ-5D: a measure of health status from the EuroQol Group.

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