Healthcare services for people with acquired disability in South-East Queensland, Australia

Assessing potential proximity and its association with service obstacles

Bibliographic Data

ID15741435
AuthorsDavid N Borg (0000-0002-0152-571X, Griffith University, corresponding author), Joshua Bon (0000-0003-2313-2949, Griffith University), Michéle Foster (0000-0002-3716-4557, Griffith University), Ali Lakhani (0000-0003-3209-7831, Griffith University), Melissa Kendall (0000-0002-2761-2627, Griffith University), Timothy Geraghty (0000-0002-8571-8315, Griffith University)
Year2022
Volume19
Pages101209-101209
Publication date2022-08-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSSM - Population Health (JOURNAL)
Journal identifiersISSN: 2352-8273 • E-ISSN: 2352-8273
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ssmph.2022.101209
PMID36052155
OpenAlexW4292089173
LanguageEN
Citations received1
References cited31

This study described access potential in South-East Queensland, to healthcare services commonly used by people with acquired disability; and investigated the association between service proximity and perceived service obstacles. First, we described accessibility by conducting a spatial analysis to create maps of potential accessibility to health services in South-East Queensland. Queensland statistical area level 2 (SA2) locations were combined with the residential locations of participants from a longitudinal cohort study involving people with ABI and SCI. The locations of selected health services of interest were identified from Health Direct's National Health Service Directory. Travel times via motor vehicle were modelled with Robust Gaussian Stochastic Process, to smoothly interpolate between the sparse time-to-service observations. Probabilistic predicted values were generated from the model and were used to construct service accessibility maps of South-East Queensland. Disability population data were used to identify SA2s with relatively low service access but a high disability population. Second, we examined perceived service obstacles, by investigating the relationship between potential access to services and perceived service obstacles was examined using data from 63 people with ABI or SCI discharged from the specialist state-wide rehabilitation services, located in South-East Queensland. Obstacles to accessing service in relation to resource availability, transportation and finances were collected three-months after discharge, using the Service Obstacle Scale. Travel times to the closest health service were computed for each individual and were compared to their Service Obstacle Scale responses. Access potential was highly variable, particularly for allied health services. We identified several low-access, high-disability population areas. These hotpots of poor access were generally to the north and west of greater Brisbane. Longer travel times to allied health services were associated with 260% higher odds of agreeing that resource availability was an obstacle to accessing services. Policy makers should be concerned with the hotspots of poor access identified

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