Borg David N, Bon Joshua J, Foster Michele M, Lakhani Ali, Kendall Melissa, Geraghty Timothy
The Hopkins Centre: Research for Rehabilitation and Resilience, Menzies Health Institute Queensland, Griffith University, Nathan, Brisbane, Australia.
School of Health Sciences and Social Work, Griffith University, Brisbane, Australia.
SSM Popul Health. 2022 Aug 17;19:101209. doi: 10.1016/j.ssmph.2022.101209. eCollection 2022 Sep.
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.
本研究描述了昆士兰州东南部获得性残疾患者常用医疗服务的可及潜力;并调查了服务距离与感知到的服务障碍之间的关联。首先,我们通过空间分析描述可及性,以绘制昆士兰州东南部医疗服务潜在可及性地图。昆士兰州统计区2级(SA2)地点与一项涉及后天性脑损伤(ABI)和脊髓损伤(SCI)患者的纵向队列研究中参与者的居住地点相结合。从健康直通的国家医疗服务目录中确定了选定的感兴趣的医疗服务地点。使用稳健高斯随机过程对机动车出行时间进行建模,以便在稀疏的服务时间观测值之间进行平滑插值。从模型中生成概率预测值,并用于构建昆士兰州东南部的服务可及性地图。使用残疾人口数据来识别服务可及性相对较低但残疾人口较多的SA2区域。其次,我们通过调查潜在服务可及性与感知到的服务障碍之间的关系,来检查感知到的服务障碍,使用的数据来自63名从位于昆士兰州东南部的全州专科康复服务机构出院的ABI或SCI患者。出院三个月后,使用服务障碍量表收集与资源可用性、交通和财务相关的服务获取障碍。计算了每个人到最近医疗服务机构的出行时间,并将其与他们的服务障碍量表回答进行比较。可及潜力差异很大,尤其是对于辅助医疗服务。我们确定了几个低可及性、高残疾人口的区域。这些可及性差的热点地区通常位于大布里斯班的北部和西部。到辅助医疗服务机构的出行时间较长与认为资源可用性是获取服务障碍的可能性高出260%相关。政策制定者应关注所确定的可及性差的热点地区。