构建并验证印度人自我报告月经失调筛查问卷

S. Sharma K. N, Shilpa Umarji, Sai Bhavani Visarapu
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引用次数: 0

摘要

痛经的定义是月经来潮困难,指月经期间的痛经。痛经有两种类型,分别是原发性痛经和继发性痛经。要遏制不孕症发病率的上升,就必须及早诊断这些可能导致痛经的疾病。目前还没有适用于印度人群的筛查问卷,可以筛查痛经并区分原发性和继发性痛经:本研究第一阶段的目标包括编制月经失调筛查问卷和验证问卷内容,第二阶段的目标是在目标人群中实施编制好的问卷。这是一项横断面研究,由专家制定问卷并进行内容验证。专家小组被要求对每个问题的相关性、清晰度和易懂程度进行四点李克特量表验证,并在参与者正确的部分对问题进行表述。对 31 名参与者进行了试点研究。共有 142 人参与了研究。129 人(即 90.85%)报告有痛经症状,只有 9.15%的人报告在月经期间没有痛经。56 名参与者有时会出现痛经症状,但有 73 名参与者表示每个月经周期都会出现痛经症状。本研究开发并验证的问卷可用作自我报告筛查工具,用于检测印度人群的月经异常情况。
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Construction and validation of self-reporting menstrual disorder screening questionnaire for Indian population
Dysmenorrhea is defined as difficulty in menstrual flow and refers to painful cramps during menstruation. There are 2 types of dysmenorrhea, primary and secondary dysmenorrhea respectively. Early diagnosis of these conditions which may be responsible for dysmenorrhea is necessary to curb the rising prevalence of infertility. There are no adequate screening questionnaires available for Indian population which can screen dysmenorrhea and differentiate primary and secondary dysmenorrhea.: The objective of phase-1 of this study comprised of constructing menstrual disorder screening questionnaire and content validating the questionnaire and the objective of phase-2 was to administer the developed questionnaire on the targeted population. This was a cross-sectional study in which a questionnaire was developed and content validated by experts. The expert panel was asked to validate each question on a four-point Likert scale for relevance, clarity, ease of comprehension and the question was represented in participants correct section. A pilot study was carried out on 31 participants. A total of 142 participants were participated in the study.Dysmenorrhea was reported by a total of 129 participants i.e. 90.85% whereas only 9.15% reported of having no pain during menstruation. Dysmenorrhea symptoms experienced only sometimes by 56 participants, but 73 participants reported to experience them with each cycle. The questionnaire developed, and content validated in this study can be used as a self-reporting screening tool to detect menstrual abnormalities in the Indian population
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