Healthcare Organisation: Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust
Chief Investigator’s Organisation: Newcastle University
Chief Investigator: Oladayo Owoeye
Start date: 18/03/2025
Exploratory analysis
This access request aims to provide access to CNTW data for exploratory purposes. The project will allow analysts from NortHFutures to familiarise themselves with data on Maternal Mental Health Services (MMHS), Perinatal CMHT services and the Mother and Baby inpatient unit.
The proposed analysis described below will be carried out on linked data held in the NENC Secure Data Environment (SDE). Whilst the SDE is not operational yet, this project will allow exploratory analysis to inform this future study.
Permission to access CNTW data on the SDE will be sought through SDE specific governance arrangements and falls outside the scope of this request.
Background
Maternal mental health is a critical and often underserved area of mental health research. Postpartum depression, anxiety, child mental health, homelessness after childbirth and other perinatal/postnatal mental health challenges significantly impacts both mothers and their children, making it a vital focus within mental health recovery pathways.
The maternal mental health recovery pathway can help capture both short-term variations and long-term recovery trajectories, providing more accurate and personalised predictions. These could include daily mood ratings, sleep patterns, medication adherence, therapy session attendance, demographic information, social support service utilisation, life events, and other relevant factors. It will align clinical data by timestamp and define event-based windows such as pre-crisis, post-crisis periods.
Analysis proposal
The quantitative analysis/modelling will be vital in addressing of the maternal mental health recovery pathway in the context of predictive models i.e. interventions it can provide for early identification of at-risk individuals, tailor interventions to maternal-specific needs, inform policies and service delivery models that integrate clinical and community support systems.
The study will:
(i) Develop predictive models to identify maternal mental health risks and examine recovery pathways.
(ii) Evaluate the effectiveness of data-driven interventions in improving maternal mental health outcomes.
(iii) Address social, economic, psychological determinants of maternal mental health.
(iv) Leverage analysis to understand the progression of maternal mental health conditions over time.
Impact
By utilizing clinical datasets, the study will uncover insights into risk factors pre/post crisis, temporal trends, and effective interventions. The metrics, such as predictive accuracy, data integration quality, and intervention success rates which will drive early risk identification, personalised care, efficient resource allocation, and holistic recovery pathways.