PhD, RN, Associated Professor, Faculty of Nursing, Department of Adult Health, Jordan University of Science and Technology, Jordan.
PhD, RN, Associate Professor, Faculty of Nursing, Philadelphia University, Jordan.
J Nurs Res. 2020 Feb;28(1):e66. doi: 10.1097/jnr.0000000000000341.
Patients with coronary artery disease (CAD) are likely to experience depression, which contributes to the burden of disease and is a risk factor for mortality. Patients in outpatient clinics in Jordan are not routinely screened for depression. Significant relationships among patient characteristics must be determined to ascertain the predictors of depression.
The aims of this research were to assess the level of depression symptoms in nonhospitalized patients with CAD; to examine the relationships between depression and relevant sociodemographic, self-reported health history, and patient health perception variables; and to identify possible predictors of depression in Jordan.
This cross-sectional study recruited a convenience sample (N = 174) of nonhospitalized outpatients who had been diagnosed with CAD. Self-reported demographic, health history, and health perception information (independent variables) were provided by the participants. The depression scores (dependent variable) for the participants were assessed using the Cardiac Depression Scale. Data were analyzed using descriptive statistics, the chi-square test, Pearson's correlations, and multiple linear regressions.
Half of the participants reported mild to moderate depression, with 37% reporting severe depression. Predictors of depression included gender (being female), having a concomitant chronic disease, prior surgery, irregular exercise, impaired sexual activity, and self-perceived poor psychological health.
CONCLUSIONS/IMPLICATIONS FOR PRACTICE: To improve patient outcomes, clinical personnel should screen patients with CAD for depression and offer a combined pharmaceutical and therapeutic treatment intervention. An easy-to-administer instrument to detect depression may be included in the standard patient checkup routine used in clinics. Several patient characteristics were found to significantly affect depression and health outcomes.
冠心病（CAD）患者可能会出现抑郁，这增加了疾病负担，也是导致死亡率的一个风险因素。约旦的门诊患者没有常规进行抑郁筛查。必须确定患者特征之间的显著关系，以确定抑郁的预测因素。
本研究旨在评估非住院 CAD 患者的抑郁症状水平；探讨抑郁与相关社会人口统计学、自我报告的健康史和患者健康感知变量之间的关系；并确定约旦可能导致抑郁的预测因素。
这项横断面研究招募了一个方便的非住院门诊患者样本（N=174），这些患者被诊断为 CAD。参与者提供了自我报告的人口统计学、健康史和健康感知信息（自变量）。参与者的抑郁评分（因变量）使用心脏抑郁量表进行评估。使用描述性统计、卡方检验、皮尔逊相关和多元线性回归分析数据。
一半的参与者报告有轻度至中度抑郁，37%的参与者报告有重度抑郁。抑郁的预测因素包括性别（女性）、患有并存的慢性疾病、既往手术、不规则运动、性功能受损和自我感知的心理健康不佳。
结论/对实践的影响：为了改善患者的预后，临床医务人员应该对 CAD 患者进行抑郁筛查，并提供药物治疗和治疗干预的综合治疗。一种易于管理的检测抑郁的工具可以包含在诊所使用的标准患者检查常规中。发现几个患者特征显著影响抑郁和健康结果。
