None listed
Conditions
Brief summary
The research aims to investigate factors that are predictive of anxiety and depression amongst those suffering from endometriosis. Additionally, the role of self-efficacy will be examined as a potential moderator for symptoms of anxiety and depression . These aims will be the focus of our online questionnaire. The research will also aim to determine how women’s self-management of endometriosis has been affected by the COVID-19 pandemic. This aim will be the focus of the semi-structured interview
Interventions
The study is split into a quantitative arm and a qualitative arm. The primary aim of the quantitative arm of the study is to investigate factors that are predictive of anxiety and depression amongst those suffering from endometriosis. The anticipated time to complete the online questionnaire is approximately 20 minutes. Participants will only need to complete the one survey. Additionally, the role of self-efficacy will be examined as a potential moderator for symptoms of anxiety and depression. These aims will be investigated using our online questionnaire. The aim of the qualitative arm of the study will be to determine how women’s self-management of endometriosis has been affected by the COVID-19 pandemic. This aim will be the focus of the semi-structured interview, which is anticipated to take approximately 45-60 minutes. The sem-structured interview will be a once off, delivered via Zoom. Interviews will be completed by a member of the research team, a currently registered provisional psychologist. Participants will be given the opportunity to opt-in following the completion of the quantitative questionnaire. For participants that express interest in the interview, they will be directed to provide their contact details on a secure platform and will then be contacted by a member of the research team.
Sponsors
Eligibility
Inclusion criteria
1) Being diagnosed with endometriosis, 2) Aged 18 years or over, 3) Competency of the English language, 4) Access to the internet.
Exclusion criteria
None