Stineman Margaret G, Xie Dawei, Pan Qiang, Kurichi Jibby E, Saliba Debra, Rose Sophia Miryam Schüssler-Fiorenza, Streim Joel E
Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Department of Biostatistics and Epidemiology, The Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvani, 423 Guardian Drive, 617 Blockley Hall, Philadelphia, PA, 19104, USA.
BMC Geriatr. 2016 Mar 8;16:64. doi: 10.1186/s12877-016-0235-0.
Concerns about using Instrumental Activities of Daily Living (IADLs) in national surveys come up frequently in geriatric and rehabilitation medicine due to high rates of non-performance for reasons other than health. We aim to evaluate the effect of different strategies of classifying "does not do" responses to IADL questions when estimating prevalence of IADL limitations in a national survey.
Cross-sectional analysis of a nationally representative sample of 13,879 non-institutionalized adult Medicare beneficiaries included in the 2010 Medicare Current Beneficiary Survey (MCBS). Sample persons or proxies were asked about difficulties performing six IADLs. Tested strategies to classify non-performance of IADL(s) for reasons other than health were to 1) derive through multiple imputation, 2) exclude (for incomplete data), 3) classify as "no difficulty," or 4) classify as "difficulty." IADL stage prevalence estimates were compared across these four strategies.
In the sample, 1853 sample persons (12.4 % weighted) did not do one or more IADLs for reasons other than physical problems or health. Yet, IADL stage prevalence estimates differed little across the four alternative strategies. Classification as "no difficulty" led to slightly lower, while classification as "difficulty" raised the estimated population prevalence of disability.
These analyses encourage clinicians, researchers, and policy end-users of IADL survey data to be cognizant of possible small differences that can result from alternative ways of handling unrated IADL information. At the population-level, the resulting differences appear trivial when applying MCBS data, providing reassurance that IADL items can be used to estimate the prevalence of activity limitation despite high rates of non-performance.
在老年医学和康复医学领域,由于非健康原因导致的日常生活工具性活动(IADL)不执行率较高,因此在全国性调查中使用IADL时经常会引发担忧。我们旨在评估在全国性调查中估计IADL限制患病率时,对IADL问题的“不执行”回答进行不同分类策略的效果。
对2010年医疗保险当前受益人调查(MCBS)中纳入的13879名非机构化成年医疗保险受益人的全国代表性样本进行横断面分析。向样本个体或代理人询问执行六项IADL时的困难情况。针对因非健康原因导致的IADL不执行情况进行分类的测试策略包括:1)通过多重填补得出;2)排除(针对不完整数据);3)分类为“无困难”;4)分类为“有困难”。比较这四种策略下的IADL阶段患病率估计值。
在样本中,1853名样本个体(加权后为12.4%)因身体问题或健康以外的原因未执行一项或多项IADL。然而,四种替代策略下的IADL阶段患病率估计值差异不大。分类为“无困难”导致估计值略低,而分类为“有困难”则提高了残疾的估计人群患病率。
这些分析鼓励IADL调查数据的临床医生、研究人员和政策最终用户认识到处理未评级IADL信息的替代方法可能导致的微小差异。在人群层面,应用MCBS数据时产生的差异似乎微不足道,这让人放心,尽管不执行率较高,但IADL项目仍可用于估计活动受限的患病率。