Existing studies have demonstrated that people with disabilities (PwD) face a range of technological and behavioural barriers to successful adoption of information and communication technology (ICT)-enabled health services. However, there has been little examination and no scholarly consensus on the relative impact of each factor. This study investigates the determinants of ICT usage for health care among PwD. Using national-level disability survey data in Australia, several multivariate hierarchical regression models are deployed to predict the relationship between ICT-enabled health service adoption and the explanatory variables. In addition, several measures of the overall goodness-of-fit are estimated for each model. The results indicate that age, gender, income, level of education, language proficiency and geographical remoteness are significant predictors of ICT-enabled health care usage among PwD. It is also found that technological constraints have a stronger moderating effect than behavioural factors. This provides valuable insight for policymakers and private organisations on which approaches and interventions are most likely to narrow the digital disability divide.

现有研究表明，残疾人（PwD）在成功采用信息和通信技术（ICT）支持的健康服务方面面临一系列技术和行为障碍。但是，对于每个因素的相对影响，很少有研究，也没有学术共识。这项研究调查了在PwD中用于医疗保健的ICT使用的决定因素。利用澳大利亚的国家级残疾调查数据，部署了多个多元层次回归模型来预测采用ICT的卫生服务的采用与解释变量之间的关系。此外，估计了每种模型的总体拟合优度的几种度量。结果表明，年龄，性别，收入，受教育程度，语言能力和地理偏远性是PwD中ICT支持的医疗保健使用的重要预测指标。还发现，技术约束比行为因素具有更强的调节作用。这为政策制定者和私人组织提供了宝贵的见解，其方法和干预措施最有可能缩小数字残疾差距。