谷歌浏览器插件
订阅小程序
在清言上使用

Myomectomy: Factors Influencing Patient Decision-Making and Satisfaction [10D]

Obstetrics and gynecology (New York 1953 Online)/Obstetrics and gynecology(2018)

引用 0|浏览1
暂无评分
摘要
INTRODUCTION: Myomectomy is a uterine-sparing treatment in women with symptomatic leiomyoma. We explored the decision-making process and overall postoperative satisfaction in patients who chose to undergo myomectomy. METHODS: Sequential mixed method design: retrospective chart review (n=1,380) of patients undergoing myomectomy at suburban hospital from 2011-2013, and postoperative mail survey of same population. Myomectomy routes: abdominal, laparoscopically-assisted abdominal (LAAM), conventional laparoscopic (CLM) & robotic-assisted (RAM). Myomectomy route was verified via corresponding survey identifiers. Survey response rate = 7.2%. Survey questions addressed preoperative education, patient decision-making process, complications, and patient satisfaction. RESULTS: Of 79 respondents: 18% abdominal, 48% LAAM, 16% CLM and 18% RAM. The top three reasons indicated for having a myomectomy was heavy periods (41.5%), fertility (26.8%) and painful periods (19.5%). 78.5% indicated the route of myomectomy mattered to them, yet 71.2% did not seek a second opinion. Primary reason for not seeking a second opinion was trust in their OBGYN (76.4%). 98% of respondents indicated they were satisfied with the “surgeon’s explanation of the surgical procedure,” yet 57.7% did not correctly identify their type of myomectomy. There was no significant difference in patient satisfaction with overall results of surgery across all myomectomy types. Postoperative care/follow-up was the only significant predictor of patient satisfaction (P CONCLUSION: Trust in the physician was the most significant factor in the patient decision-making process to undergo surgery, while postoperative follow-up care was most significant to overall patient satisfaction. This survey highlights the need for the OBGYN to recommend the most appropriate treatment option to their patients.
更多
查看译文
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