Single index of multimorbidity did not predict multiple outcomes
Single index of multimorbidity did not predict multiple outcomes
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DOI：
10.1016/j.jclinepi.2005.02.025
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发表时间：
2005-10-01
影响因子：
7.2
通讯作者：
Treloar, C
中科院分区：
文献类型：
--
作者：
Byles, JE;D'Este, C;Treloar, C
背景和目标：多发病和共病的测量在流行病学和卫生服务研究中非常重要。本研究的目的是根据患者自我报告得出通用的多发病指数，纳入严重程度，以预测一系列结果。方法：数据集来自一项包含 1,541 名 70 岁及以上退伍军人和战争寡妇的试验。该调查包括社会人口统计、入院情况、SF-36 以及死亡信息。 Charlson 的方法用于推导多重疾病指数。结果：所有指数都预测生活质量，随着多重疾病类别的增加，生活质量下降。无论是否对基线生活质量进行调整，包含严重程度的多发病评分对死亡率、入院率和随访生活质量的预测都有显着贡献。结论：我们的结果表明，单一指标无法预测各种相关结果。因此，为评估干预或疾病对健康结果的影响而进行的研究应使用可有效预测感兴趣的特定结果的指数。 (c) 2005 Elsevier Inc. 保留所有权利。
Background and Objectives: Measurement of multimorbidity and comorbidity is important in epidemiologic and health services research. The aim of this research was to derive a generic multimorbidity index based on patient self-report, incorporating severity, for predicting a range of outcomes.Methods: The dataset was obtained from a trial including 1,541 Veterans and war widows aged 70 years and over. The survey included sociodemographics, hospital admissions, SF-36, and information on deaths was obtained. The methods of Charlson were used to derive Multimorbidity Indices.Results: All indices predicted quality of life, with decreasing quality of life for each increase in multimorbidity category. Multimorbidity scores incorporating severity significantly contributed to the prediction of mortality, hospital admission, and follow-up quality of life, regardless of adjustment for baseline quality of life.Conclusions: Our results indicate that a single index cannot predict a variety of relevant outcomes. Consequently, research undertaken to assess the impact of intervention or illness on health outcomes should use an index that is valid for predicting the specific outcome of interest. (c) 2005 Elsevier Inc. All rights reserved.