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在心律失常抑制试验中,社会人口统计学、临床及生活质量变量与依从性的关系。

Relation of sociodemographic, clinical, and quality-of-life variables to adherence in the cardiac arrhythmia suppression trial.

作者信息

Schron E B, Brooks M M, Gorkin L, Kellen J C, Morris M, Campion J, Shumaker S A, Corum J

出版信息

Cardiovasc Nurs. 1996 Mar-Apr;32(2):1-6.

PMID:8697488
Abstract

Clearly, age and education are important factors for predicting adherence in CAST, given that they appear in all three regressions. Moreover, the 4-month and 1-year results indicate that mental health and presence of a spouse are important predictors. Physical function, stress, angina, and history of MI may also provide additional information regarding adherence levels. It is interesting to note that although adherence was higher for patients who have "good" social characteristics, such as having a spouse, support, integration, perceived good health, good mental health, low stress, and education, it was also better for those patients who had "poor" physical characteristics such as a history of angina, a history of MI, and low physical function. In the multivariate analysis, older age was also associated with good adherence. These observations are not necessarily intuitive and support the need for further research in this area. If patients at risk for poor adherence can be identified prospectively, strategies may be developed to improve their subsequent medical care in such a way to favorably affect and improve their outcomes.

摘要

显然,年龄和教育程度是预测CAST研究中依从性的重要因素,因为它们出现在所有三个回归模型中。此外,4个月和1年的结果表明,心理健康状况和配偶的陪伴是重要的预测因素。身体功能、压力、心绞痛和心肌梗死病史也可能提供有关依从性水平的额外信息。有趣的是,尽管具有“良好”社会特征(如有配偶、有支持、融入社会、自我感觉健康良好、心理健康良好、压力低和受过教育)的患者依从性较高,但具有“较差”身体特征(如有心绞痛病史、心肌梗死病史和身体功能差)的患者依从性也较好。在多变量分析中,年龄较大也与良好的依从性相关。这些观察结果不一定直观,支持在该领域进行进一步研究的必要性。如果能够前瞻性地识别出依从性差的风险患者,就可以制定策略来改善他们后续的医疗护理,从而对其治疗结果产生有利影响并加以改善。

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