Rosenfeld Anne G
Oregon Health & Science University School of Nursing, SN5N, 3455 SW Veterans Hospital Road, Portland, OR 97239-2941, USA.
Nurs Res. 2004 Jul-Aug;53(4):225-36. doi: 10.1097/00006199-200407000-00005.
Women's delay in seeking treatment for acute myocardial infarction symptoms results in higher rates of mortality and morbidity for women.
To describe decision trajectories used by women when experiencing symptoms of acute myocardial infarction, and to identify predictors of the decision trajectory used by women with acute myocardial infarction.
A cross-sectional, descriptive design was used. The nonprobability sample included 52 women hospitalized for acute myocardial infarction. To elicit descriptions of decision making, focused, semistructured interviews were used in this mixed-methods study. Predictors of decision trajectories were measured with standardized instruments among the same women. Narrative analysis was used to examine the stories from the qualitative data and to identify decision trajectory types. Discriminant analysis was used to predict trajectory type membership.
The median delay time was 4.25 hours. Most of the women used one of two trajectory types: knowing (defined as those women who knew almost immediately that they would seek help, n = 25) and managing (those women who managed an alternative hypothesis or minimized their symptoms, n = 23). Discriminant analysis correctly classified 71% (chi [4] = 11.2; n = 48; p =.02) of the cases into trajectory types on the basis of four predictor variables: social support, personal control, heart disease threat, and neuroticism.
Women's behaviors during the period between onset of acute myocardial infarction symptoms and treatment seeking can be categorized into a small number of patterns termed decision trajectories. A profile of sociostructural and intrapersonal factors with potential for predicting behavior in relation to future coronary events was developed.
女性延迟寻求急性心肌梗死症状的治疗会导致更高的死亡率和发病率。
描述女性在出现急性心肌梗死症状时所采用的决策轨迹,并确定急性心肌梗死女性所采用决策轨迹的预测因素。
采用横断面描述性设计。非概率样本包括52名因急性心肌梗死住院的女性。在这项混合方法研究中,使用聚焦的半结构化访谈来引出决策描述。在同一组女性中,使用标准化工具测量决策轨迹的预测因素。叙事分析用于检查定性数据中的故事并确定决策轨迹类型。判别分析用于预测轨迹类型归属。
中位延迟时间为4.25小时。大多数女性采用两种轨迹类型之一:知晓型(定义为那些几乎立即知道自己会寻求帮助的女性,n = 25)和应对型(那些对替代假设进行应对或尽量减轻症状的女性,n = 23)。判别分析根据四个预测变量(社会支持、个人控制、心脏病威胁和神经质)将71%(卡方[4] = 11.2;n = 48;p =.02)的病例正确分类到轨迹类型中。
女性在急性心肌梗死症状发作至寻求治疗期间的行为可分为少数几种模式,称为决策轨迹。建立了一个社会结构和个人因素概况,这些因素有可能预测与未来冠状动脉事件相关的行为。