谷歌浏览器插件
订阅小程序
在清言上使用

Development of a Condition‐specific Patient‐reported Outcome Measure for Measuring Symptoms and Appearance in Vascular Malformations: the OVAMA Questionnaire

British journal of dermatology/British journal of dermatology, Supplement(2021)

引用 14|浏览8
暂无评分
摘要
Background The symptoms and appearance of vascular malformations can severely harm a patient's quality of life. The aim of treatment of vascular malformations generally is to improve condition-specific symptoms and/or appearance. Therefore, it is highly important to start testing treatment effects in clinical studies from the patient's perspective. Objectives To develop a patient-reported outcome measure for measuring symptoms and appearance in patients with vascular malformations. Methods A first draft of the patient-reported outcome measure was based on the previously internationally developed core outcome set. The qualitative part of this study involved interviews with 14 patients, which led to a second draft. The second draft was field tested cross-sectionally, after which groups of items were evaluated for adequate internal consistency (Cronbach's alpha > 0 center dot 7) to form composite scores. Construct validity was evaluated by testing 13 predefined hypotheses on known-group differences. Results The patient interviews ensured adequate content validity and resulted in a general symptom scale with six items, a head and neck symptom scale with eight items, and an appearance scale with nine items. Cronbach's alpha was adequate for two composite scores: a general symptom score (0 center dot 88) and an appearance score (0 center dot 85). Ten out of 13 hypotheses on known-group differences were confirmed, confirming adequate construct validity. Conclusions With the development of the OVAMA questionnaire, outcomes of patients with vascular malformations can now be evaluated from the patient's perspective. This may help improve the development of evidence-based treatments and the overall care for patients with vascular malformations.
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