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八个国家的自我报告医疗、用药和实验室错误:慢性病成年人的风险因素。

Self-reported medical, medication and laboratory error in eight countries: risk factors for chronically ill adults.

机构信息

College of Pharmacy, Dalhousie University, 5968 College Street, Halifax, NS B3H 3J5, Canada.

出版信息

Int J Qual Health Care. 2011 Apr;23(2):182-6. doi: 10.1093/intqhc/mzq082. Epub 2011 Jan 10.

Abstract

OBJECTIVE

To identify risk factors associated with self-reported medical, medication and laboratory error in eight countries.

DESIGN

The Commonwealth Fund's 2008 International Health Policy Survey of chronically ill patients in eight countries.

INTERVENTION

None.

SETTING AND PARTICIPANTS

A multi-country telephone survey was conducted between 3 March and 30 May 2008 with patients in Australia, Canada, France, Germany, the Netherlands, New Zealand, the UK and the USA who self-reported being chronically ill.

MAIN OUTCOME MEASURE

A bivariate analysis was performed to determine significant explanatory variables of medical, medication and laboratory error (P < 0.01) for inclusion in a binary logistic regression model.

RESULTS

The final regression model included eight risk factors for self-reported error: age 65 and under, education level of some college or less, presence of two or more chronic conditions, high prescription drug use (four+ drugs), four or more doctors seen within 2 years, a care coordination problem, poor doctor-patient communication and use of an emergency department.

CONCLUSION

Risk factors with the greatest ability to predict experiencing an error encompassed issues with coordination of care and provider knowledge of a patient's medical history. The identification of these risk factors could help policymakers and organizations to proactively reduce the likelihood of error through greater examination of system- and organization-level practices.

摘要

目的

在八个国家中确定与自我报告的医疗、用药和实验室错误相关的风险因素。

设计

英联邦基金 2008 年对八个国家慢性病患者的国际卫生政策调查。

干预措施

无。

地点和参与者

2008 年 3 月 3 日至 5 月 30 日,在澳大利亚、加拿大、法国、德国、荷兰、新西兰、英国和美国进行了一项多国电话调查,调查对象为自我报告患有慢性病的患者。

主要观察指标

采用双变量分析确定与医疗、用药和实验室错误(P<0.01)相关的显著解释变量,纳入二项逻辑回归模型。

结果

最终回归模型包括自我报告错误的八个风险因素:年龄在 65 岁及以下、受过一些大学教育或以下教育程度、存在两种或两种以上慢性疾病、高处方药使用(四种或四种以上药物)、两年内看了四个或四个以上医生、存在医疗协调问题、医患沟通不良和使用急诊室。

结论

能够最大程度预测发生错误的风险因素包括医疗协调和提供者对患者病史了解方面的问题。识别这些风险因素可以帮助政策制定者和组织通过更深入地检查系统和组织层面的做法,主动降低错误的可能性。

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