Transition from rehabilitation hospital to the National Disability Insurance Scheme (NDIS) for people with brain injury and spinal cord injury: a data linkage protocol.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
19 Aug 2024
Historique:
medline: 20 8 2024
pubmed: 20 8 2024
entrez: 19 8 2024
Statut: epublish

Résumé

Traumatic brain injury (TBI) and spinal cord injury (SCI) are both major contributors to permanent disability globally, with an estimated 27 million new cases of TBI and 0.93 million new cases of SCI globally in 2016. In Australia, the National Disability Insurance Scheme (NDIS) provides support to people with disability. Reports from the NDIS suggest that the cost of support for people with TBI and SCI has been increasing dramatically, and there is a lack of independent analysis of the drivers of these increases. This data linkage seeks to better understand the participant transition between rehabilitation hospitals and the NDIS and the correlation between functional independence in rehabilitation and resource allocation in the NDIS. This is a retrospective, population-based cohort study using Australia-wide NDIS participant data and rehabilitation hospital episode data. The linked dataset provides a comparison of functional independence against which to compare the NDIS resource allocation to people with TBI and SCI. This protocol outlines the secure and separated data linkage approach employed in linking partially identified episode data from the Australasian Rehabilitation Outcomes Centre (AROC) with identified participant data from the NDIS. The linkage employs a stepwise deterministic linkage approach. Statistical analysis of the linked dataset will consider the relationship between the functional independence measure score from the rehabilitation hospital and the committed funding supports in the NDIS plan. This protocol sets the foundation for an ongoing data linkage between rehabilitation hospitals and the NDIS to assist transition to the NDIS. Ethics approval is from the Macquarie University Human Research Ethics Committee. AROC Data Governance Committee and NDIS Data Management Committee have approved this project. Research findings will be disseminated to key stakeholders through peer-reviewed publications in scientific journals and presentations to clinical and policy audiences via AROC and NDIS.

Identifiants

pubmed: 39160099
pii: bmjopen-2023-082802
doi: 10.1136/bmjopen-2023-082802
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e082802

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Simon Andrew John Guthrie (SAJ)

Macquarie Business School, Macquarie University, Sydney, New South Wales, Australia simon.guthrie@mq.edu.au.

Tara Alexander (T)

Australasian Rehabilitation Outcomes Centre (AROC), University of Wollongong, Wollongong, New South Wales, Australia.

Leonie Tickle (L)

Macquarie Business School, Macquarie University, Sydney, New South Wales, Australia.

Di Winkler (D)

Summer Foundation, Blackburn, Victoria, Australia.
La Trobe University, Bundoora, Victoria, Australia.

John Ernest Walsh (JE)

The University of Sydney John Walsh Centre for Rehabilitation Research, St Leonards, New South Wales, Australia.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH