Navigating the Challenges of Myofascial Pain Syndrome in Turkey: A Delphi Methodology Study on Patient Journey, Disease Burden, and Unmet Diagnosis and Treatment Needs
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 20
- 主要终点
- Identification of areas of agreement and disagreement among experts.
研究概览
简要总结
Myofascial pain syndrome is a chronic pain disorder that affects many people in Turkey. This research study aims to explore the challenges faced by patients with myofascial pain syndrome in Turkey, including the disease burden, patient journey, and unmet diagnosis and treatment needs. The study will utilize the Delphi methodology, which involves gathering input from a panel of experts over multiple rounds to achieve consensus on the topic. The results of this study will shed light on the current state of myofascial pain syndrome management in Turkey and provide insights into the areas where improvements can be made.
详细描述
The study will use a Delphi methodology to investigate the challenges faced by patients with myofascial pain syndrome in Turkey. A panel of 20 experts with diverse backgrounds in healthcare and pain management will be selected. The study will be conducted in three rounds, with the first round consisting of open-ended questions to identify key themes related to the disease burden, patient journey, and unmet needs. In the second round, experts will rate the importance of each theme, and in the third round, they will review the results of the previous round and provide additional feedback. Data will be analyzed using content analysis and descriptive statistics to identify the areas of consensus and divergence among the experts.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 25 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Being an expert on healthcare.
- •Giving consent.
排除标准
- •Not giving consent.
- •Any disorder or condition that may negatively affect reading, comprehension, and form filling.
结局指标
主要结局
Identification of areas of agreement and disagreement among experts.
时间窗: 1 month
Data will be analyzed using content analysis and descriptive statistics to identify the areas of consensus and divergence among the experts.
次要结局
未报告次要终点
研究者
Mustafa Hüseyin Temel
Principal Investigator
Uskudar State Hospital