Ansah John P, Malhotra Rahul, Lew Nicola, Chiu Chi-Tsun, Chan Angelique, Bayer Steffen, Matchar David B
Signature Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore, Singapore.
Signature Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore, Singapore; Department of Sociology, National University of Singapore, Singapore, Singapore.
PLoS One. 2015 May 14;10(5):e0126471. doi: 10.1371/journal.pone.0126471. eCollection 2015.
This study compares projections, up to year 2040, of young-old (aged 60-79) and old-old (aged 80+) with functional disability in Singapore with and without accounting for the changing educational composition of the Singaporean elderly. Two multi-state population models, with and without accounting for educational composition respectively, were developed, parameterized with age-gender-(education)-specific transition probabilities (between active, functional disability and death states) estimated from two waves (2009 and 2011) of a nationally representative survey of community-dwelling Singaporeans aged ≥ 60 years (N=4,990). Probabilistic sensitivity analysis with the bootstrap method was used to obtain the 95% confidence interval of the transition probabilities. Not accounting for educational composition overestimated the young-old with functional disability by 65 percent and underestimated the old-old by 20 percent in 2040. Accounting for educational composition, the proportion of old-old with functional disability increased from 40.8 percent in 2000 to 64.4 percent by 2040; not accounting for educational composition, the proportion in 2040 was 49.4 percent. Since the health profiles, and hence care needs, of the old-old differ from those of the young-old, health care service utilization and expenditure and the demand for formal and informal caregiving will be affected, impacting health and long-term care policy.
本研究比较了到2040年新加坡年轻老年人(60 - 79岁)和高龄老年人(80岁及以上)出现功能残疾情况的预测,其中分别考虑和未考虑新加坡老年人教育构成的变化。分别构建了两个多状态人口模型,一个考虑教育构成,另一个不考虑,模型用从针对60岁及以上新加坡社区居民的具有全国代表性的两轮调查(2009年和2011年,N = 4990)中估计出的年龄 - 性别 - (教育)特定的转移概率(在活动、功能残疾和死亡状态之间)进行参数化。采用自助法进行概率敏感性分析以获得转移概率的95%置信区间。在2040年,不考虑教育构成的情况下,对有功能残疾的年轻老年人的估计高估了65%,对高龄老年人的估计低估了20%。考虑教育构成时,有功能残疾的高龄老年人比例从2000年的40.8%增加到2040年的64.4%;不考虑教育构成时,2040年的比例为49.4%。由于高龄老年人的健康状况以及因此产生的护理需求与年轻老年人不同,医疗服务的利用和支出以及对正式和非正式护理的需求将受到影响,进而影响健康和长期护理政策。