Steps against recurrent stroke plus: patient transition program.

JOURNAL OF NEUROSCIENCE NURSING(2014)

引用 16|浏览42
暂无评分
摘要
Stroke is a devastating health event that affects 800,000 people annually in the United States. Nearly 20% of strokes are recurrent strokes. Research shows that support after discharge from the hospital poststroke is frequently inadequate. The purpose of "Steps Against Recurrent Stroke (STARS) Plus: Patient Transition Program" was to design and deliver a program to facilitate optimal recovery for stroke survivors and prevent recurrent stroke. The program began at discharge from the hospital and continued through the first year of rehabilitation and recovery. Twelve hospitals participated; 261 patients enrolled, and contact was established with 193. Outcomes were gathered based on patient self-report of health status using the Short-Form Health Survey at 30, 90, 180, and 360 days. A dependent sample t test was completed comparing participants' 30- and 360-day follow-up scores. Results demonstrated an overall increase in subjective pain. A repeated multivariate analysis of variance was conducted to compare 30- and 360-day Short-Form Health Survey scores across age and subscales. Results revealed that those in the younger and older age groups reported poorer health outcomes. Findings demonstrate a reduction in rehospitalization after stroke, increased medication adherence, strong patient satisfaction, and significant differences in health-related outcome measures across age groups, suggesting that middle-aged stroke survivors experience better health outcomes than younger or older age groups. Future programs should consider targeting pain management in all ages and education targeted at younger and older age groups, because they reported poorer health outcomes. The findings from this program should contribute to the guidance and insight for others developing transitional interventions for stroke survivors.
更多
查看译文
关键词
recurrent stroke,secondary stroke,stroke education,stroke prevention
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要