Purpose: Low mood is a recognised clinical symptom of perimenopause and menopause. However, little research has been done on the prevalence and nature of low mood in perimenopausal and menopausal women. Women aged 45-49 have the highest suicide rates in the UK, but the extent to which low mood intersects with suicidal ideation in menopausal women is also largely unknown.

Background: Peri-menopausal women face an increased risk of depression and suicide, yet recognition and treatment of these mental health issues are often inadequate. Symptoms of perimenopausal depression differ from typical depression, making diagnosis challenging. Hormone Replacement Therapy (HRT) and talking therapies are potential treatments, but their utilisation remains low. This study seeks to understand the complexities of perimenopausal depression and suicide risk to improve access to appropriate care.
Aim: In collaboration with Newson Health Menopause and Wellbeing Centre, this mixed-methods study aims to evaluate psychological outcomes among peri-menopausal women. Objectives include demographic analysis, comparative psychological outcomes, evaluation of depression scales, and qualitative interviews with service users, supporters of these service users and members of the general population.
Method: The study will be conducted at Newson Health Menopause and Wellbeing Centre, employing a mixed methods approach. Quantitative data will be derived from longitudinal surveys, while qualitative insights will be gathered through interviews. Participants will include service users, supporters, clinic staff and members of the general population. 15-20 service users and clinicians, 10-15 supporters, and 20-25 members of the general population have been interviewed.
Data Analysis: Quantitative analysis will employ hierarchical modelling to identify suicide risk and treatment pathways, addressing missing data and data quality issues. Qualitative data will be analysed thematically using NVivo software, applying Normalisation Process Theory (NPT) to understand implementation challenges and inform service delivery models.