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使用哮喘控制问卷和管理数据来预测医疗保健利用率。

Using an asthma control questionnaire and administrative data to predict health-care utilization.

作者信息

Peters Dawn, Chen Chuhe, Markson Leona E, Allen-Ramey Felicia C, Vollmer William M

机构信息

Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239-3098, USA.

出版信息

Chest. 2006 Apr;129(4):918-24. doi: 10.1378/chest.129.4.918.

Abstract

OBJECTIVE

To examine the merits of the Asthma Therapy Assessment Questionnaire (ATAQ) control index together with prior asthma health-care utilization from administrative data in predicting future acute asthma health-care utilization.

DESIGN

Prospective cohort study.

POPULATION

A total of 4,788 adult asthma patients aged 17 to 93 years who completed a baseline evaluation and had at least 6 months of follow-up data.

STATISTICAL METHODS

Classification and regression tree methodology to predict future risk of acute health-care utilization events.

RESULTS

These results show that the ATAQ control index and administrative data are jointly useful for predicting future health-care utilization. The utility of the ATAQ control index in the presence of information about prior health-care utilization is to further stratify risk among the subset of younger individuals who did not have any prior acute health-care utilization. While administrative health-care utilization data served as the strongest predictor of future health-care utilization, the ATAQ control index helped to identify 1% of individuals without recent acute care that had approximately a sixfold elevated risk (95% confidence interval, 4.2 to 8.4) of future acute health-care utilization. This is an important result since only a small fraction of individuals with acute events in a given year will have had acute events in the previous year.

CONCLUSION

These findings should assist the practicing clinician and organizations interested in population-based asthma disease management.

摘要

目的

探讨哮喘治疗评估问卷(ATAQ)控制指数以及行政数据中既往哮喘医疗服务利用情况在预测未来急性哮喘医疗服务利用方面的优点。

设计

前瞻性队列研究。

研究对象

共有4788名年龄在17至93岁之间的成年哮喘患者,他们完成了基线评估且至少有6个月的随访数据。

统计方法

采用分类与回归树方法预测未来急性医疗服务利用事件的风险。

结果

这些结果表明,ATAQ控制指数和行政数据对预测未来医疗服务利用情况都很有用。在有既往医疗服务利用信息的情况下,ATAQ控制指数的作用是在没有任何既往急性医疗服务利用的较年轻个体子集中进一步分层风险。虽然行政医疗服务利用数据是未来医疗服务利用的最强预测因素,但ATAQ控制指数有助于识别出1%近期无急性护理的个体,其未来急性医疗服务利用风险大约升高了6倍(95%置信区间,4.2至8.4)。这是一个重要结果,因为在给定年份中只有一小部分发生急性事件的个体在前一年也发生过急性事件。

结论

这些发现应有助于临床执业医生以及对基于人群的哮喘疾病管理感兴趣的组织。

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