Priority Research Centre for Generational Health and Ageing, University of Newcastle, West Wing, Level 4, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, Callaghan, Australia.
BMC Geriatr. 2019 Oct 24;19(1):286. doi: 10.1186/s12877-019-1291-z.
Over two-thirds of older Australians use different types/levels of aged care at some point in later life. Our aims were to estimate transitional probabilities and to identify risk factors influencing the movement between different levels of long-term care.
The sample consisted of 9007 women from the 1921-26 birth cohort of the Australian Longitudinal Study on Women's Health. Transitional probabilities between different levels of long-term care were estimated using a continuous-time Markov model.
An 11-fold transition rates ratio was observed for the movement from non-user to home and community care (HACC) versus non-user to residential aged care (RAC). The predicted probabilities of remaining in the non-user state, HACC, and RAC after 10 years from the baseline were .28, .24, and .11, respectively. While the corresponding probabilities of dying from these states were .36, .65, and .90. The risk of transitioning from the non-user state to either HACC or RAC was greater for participants who were older at baseline, widowed, living outside of major cities, having difficulties in managing income, or having chronic condition, poor/fair self-rated health, or lower SF-36 scores (p < .05).
Women spend a substantial period of their later life using long-term care. Typically, this will be in the community setting with a low level of care. The transition to either HACC or RAC was associated with several demographic and health-related factors. Our findings are important for the planning and improvement of long-term care among future generations of older people.
Not applicable.
超过三分之二的澳大利亚老年人在晚年的某个时候会使用不同类型/级别的老年护理。我们的目的是估计过渡概率,并确定影响不同级别长期护理之间转移的风险因素。
该样本由澳大利亚妇女健康纵向研究中的 9007 名 1921-26 年出生的女性组成。使用连续时间马尔可夫模型估计不同级别长期护理之间的过渡概率。
观察到从不使用者到家庭和社区护理(HACC)与从不使用者到养老院(RAC)的转移率比为 11 倍。从基线开始 10 年后,处于非使用者状态、HACC 和 RAC 的预测概率分别为.28、.24 和.11。而从这些状态死亡的相应概率分别为.36、.65 和.90。从非使用者状态向 HACC 或 RAC 转移的风险对于基线年龄较大、丧偶、居住在大城市以外、在管理收入方面有困难、或患有慢性疾病、自我评估健康状况较差/一般或 SF-36 评分较低的参与者更大(p<0.05)。
女性在晚年的大部分时间都会使用长期护理。通常,这将是在社区环境中,护理水平较低。向 HACC 或 RAC 的过渡与几个人口统计学和健康相关因素有关。我们的研究结果对于规划和改善未来几代老年人的长期护理非常重要。
不适用。