Flacker Jonathan M, Kiely Dan K
Division of Geriatric Medicine and Gerontology, Emory University School of Medicine, Atlanta, Georgia 30303, USA.
J Am Geriatr Soc. 2003 Feb;51(2):213-21. doi: 10.1046/j.1532-5415.2003.51060.x.
To identify factors associated with 1-year mortality in newly admitted and long-stay (in nursing home longer than 1 year) nursing home residents by linking Minimum Data Set (MDS) information with data from the National Death Index and use these factors to create a useful tool for estimating risk levels for 1-year mortality.
Retrospective cohort study with development and validation cohorts.
All 643 Medicare and Medicaid certified nursing homes in New York State during the study period.
The study included data on residents collected during full MDS assessments from June 1994 through December 1997. A total of 100,669 nursing home residents met the inclusion criteria for the newly admitted resident analysis. The newly admitted development cohort included 60,341 residents, and the newly admitted validation cohort included 40,328 residents. A total of 36,125 nursing home residents met inclusion criteria for the long-stay (residing in nursing home>1 year) cohort. The long-stay development cohort included 22,749 residents, and the long-stay validation cohort included 15,068 residents.
The analytical approach was similar for the newly admitted and long-stay resident cohorts. Resident characteristics that were considered potential risk factors for mortality were examined individually in bivariate proportional hazards models, and factors with P <.05 were entered into a proportional hazards regression stepwise model. The strongest factors based on their chi-square values were selected for entry into a multivariate proportional hazards analysis. Hazard ratios (HRs), 95% confidence intervals, and P-values were derived from this model. A mortality risk index score was created for each resident by summing the value of each HR in the multivariate model for those who had the risk factor. A sensitivity analysis was performed to determine the effect of residents with an unknown death status. A similar analysis was performed on the validation cohort to validate the original results.
Major factors associated with 1-year mortality were identified in both the newly admitted and long-stay cohorts. In both newly admitted and long-stay residents, a higher mortality risk index score was associated with increased 1-year mortality in both the development and validation cohorts.
MDS data can identify major factors associated with 1-year mortality in newly admitted and long-stay nursing home residents. These factors can be used to stratify residents into risk categories for 1-year mortality. This information could be important to residents, their families, and their physicians when developing care plans, as well as to agencies interested in healthcare resource planning.
通过将最低数据集(MDS)信息与国家死亡指数数据相链接,确定新入院及长期居住(在养老院居住超过1年)的养老院居民中与1年死亡率相关的因素,并利用这些因素创建一个有用的工具来估计1年死亡率的风险水平。
具有开发和验证队列的回顾性队列研究。
研究期间纽约州所有643家获得医疗保险和医疗补助认证的养老院。
该研究纳入了1994年6月至1997年12月全面MDS评估期间收集的居民数据。共有100669名养老院居民符合新入院居民分析的纳入标准。新入院开发队列包括60341名居民,新入院验证队列包括40328名居民。共有36125名养老院居民符合长期居住(居住在养老院>1年)队列的纳入标准。长期居住开发队列包括22749名居民,长期居住验证队列包括15068名居民。
新入院和长期居住居民队列的分析方法相似。在双变量比例风险模型中分别检查被视为死亡潜在危险因素的居民特征,P<0.05的因素被纳入比例风险回归逐步模型。根据卡方值选择最强的因素纳入多变量比例风险分析。风险比(HRs)、95%置信区间和P值由此模型得出。通过将多变量模型中具有风险因素的居民的每个HR值相加,为每个居民创建一个死亡风险指数评分。进行敏感性分析以确定死亡状态未知的居民的影响。对验证队列进行类似分析以验证原始结果。
在新入院和长期居住队列中均确定了与1年死亡率相关的主要因素。在新入院和长期居住居民中,较高的死亡风险指数评分与开发和验证队列中1年死亡率的增加相关。
MDS数据可以识别新入院和长期居住的养老院居民中与1年死亡率相关的主要因素。这些因素可用于将居民分为1年死亡率的风险类别。在制定护理计划时,这些信息对居民、其家人及其医生以及对医疗资源规划感兴趣的机构可能很重要。