McGarry Brian E, Temkin-Greener Helena, Chapman Benjamin P, Grabowski David C, Li Yue
Health Services Research and Policy, Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY.
Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY.
Health Serv Res. 2016 Aug;51(4):1612-31. doi: 10.1111/1475-6773.12439. Epub 2016 Jan 22.
To determine the effect of consumers' numeric abilities on the likelihood of owning private long-term care insurance.
The 2010 wave of the Health and Retirement Study, a nationally representative survey of Americans age 50 and older, was used (n = 12,796).
Multivariate logistic regression was used to isolate the relationship between numeracy and long-term care insurance ownership.
Each additional question answered correctly on a numeracy scale was associated with a 13 percent increase in the likelihood of holding LTCI, after controlling for predictors of policy demand, education, and cognitive function.
Poor numeracy may create barriers to long-term care insurance purchase. Policy efforts aimed at increasing consumer decision support or restructuring the marketplace for long-term care insurance may be needed to increase older adults' ability to prepare for future long-term care expenses.
确定消费者的数字能力对拥有私人长期护理保险可能性的影响。
使用了2010年的健康与退休研究,这是一项对50岁及以上美国人具有全国代表性的调查(n = 12,796)。
采用多变量逻辑回归来分离数字能力与长期护理保险拥有情况之间的关系。
在控制了政策需求、教育和认知功能的预测因素后,在数字量表上每多正确回答一个问题,持有长期护理保险的可能性就会增加13%。
数字能力差可能会给长期护理保险的购买造成障碍。可能需要采取旨在增加消费者决策支持或重组长期护理保险市场的政策措施,以提高老年人为未来长期护理费用做准备的能力。