Validation of online delivery of the Australian Pelvic Floor Questionnaire in an Irish obstetric population

INTERNATIONAL UROGYNECOLOGY JOURNAL(2023)

引用 0|浏览0
暂无评分
摘要
Introduction and hypothesis Childbirth remains an important risk factor for the development of pelvic floor disorders, regardless of the mode of delivery. To accurately assess these symptoms, accurate, woman-centric assessments are needed. Online versions of these assessments may be especially useful in the COVID-19 era. Women may potentially answer questions differently in an online format, and this study aimed to validate an online version of the paper-based self-administered Australian Pelvic Floor Questionnaire (APFQ). Methods The questionnaire was completed antenatally and at 3 months postpartum by 647 and 481 women respectively. Test– validity was assessed in subgroups of 61 and 57 women in each period, using intraclass correlation coefficients and Cohen’s kappa. Sensitivity to change was assessed by comparing responses during pregnancy to those at 3 months postpartum. Internal consistency was assessed using Cronbach’s alpha. Construct validity was assessed by comparing women with and without subjective bothersomeness. Results Intraclass correlation coefficients were above 0.9 for all domains and the overall questionnaire. Cohen’s kappa for individual questions ranged from 0.71–1.00 across the antenatal and postnatal questionnaires. Cronbach’s alpha was acceptable for all domains except the prolapse domain. The APFQ was sensitive to changes occurring between antenatal recruitment and 3 months postpartum. Effect sizes ranged from 0.83–7.99. Conclusions This online version of the APFQ is valid for assessing pelvic floor disorders in an Irish obstetric population. The APFQ is reproducible and responsive to change occurring with childbirth, and can be used to research longitudinal changes in pelvic floor disorders. As an online tool, this questionnaire may be useful in increasing response rates to clinical research.
更多
查看译文
关键词
Pelvic floor disorders,Labor,Questionnaires,Epidemiology,Assessment
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