No photo of Jayati Das-Munshi

Jayati Das-Munshi

Dr, Consultant Psychiatrist, Clinician Scientist Fellow, PhD FRCPsych

  • Phone80583
  • 1845
    Citations
If you made any changes in Pure these will be visible here soon.

Personal profile

Biographical details

I am a Clinical Reader in Social & Psychiatric Epidemiology at King's College London (IoPPN) and an Honorary Consultant Liaison Psychiatrist with South London & Maudsley Trust/ King's College Hospital. 

My research interests centre on mental health inequalities and methodologies to understand and address this. I previously led a six year programme of research relating to physical health in severe mental illnesses, with a focus on intersections with ethnicity and other inequalities. I was part of the evidence review and synthesis team which supported the development of WHO guidelines on the management of physical health conditions in adults with severe mental disorders. More recently our team's focus has moved to examining the impact of COVID-19 on widening ethnic inequalities in mental health outcomes, which we are assessing through quantitative analysis of large-scale datasets and qualitative methodologies.  I am also interested in the possibility of data linkage to maximise the potential of existing datasets, having led a database linkage of electronic health records from South London & Maudsley Trust (CRIS) to UK Census records, to better understand social predictors and outcomes in people living with psychosis. Our team has also developed novel text mining approaches to identify employment and occupations from free text in mental health records, which we are developing with a view to understanding occupational inequalities experienced by people with mental health problems. I am the cohorts and statistics platform co-lead for the KCL ESRC Centre for Society and Mental Health.  

Clinical expertise

I lead an outpatient consultation liaison service for older adults with geriatric medicine at King's College Hospital and have a clinical interest in detecting and optimising the management of mental disorders in older people living with complex medical comorbidities. I am a Fellow of the Royal College of Psychiatrists (FRCPsych).

Research interests

Data linkage and application to monitoring/ addressing health inequalities, mental health inequalities in migrant and ethnic minority groups, the role of residential contexts/ neighbourhoods in patterning mental health/ health outcomes, urban mental health, life course perspectives on ethnic minority health across generations, the interface of mental and physical health, common mental disorders, epidemiological study design and methods, locally/ nationally representative cross-sectional surveys and cohorts. multi-level modelling of neighbourhoods and longitudinal data analysis/ cohort studies.

Teaching

I am a Fellow of the Higher Education Academy (FHEA) and hold a PGCAPHE qualification.

Module co-leader on 'Advanced Statistical Methods in Psychiatric Epidemiology' module (Global Mental Health MSc offered jointly across KCL & LSHTM)

PhD, MSc, intercalated BSc and DClinPsy supervision

Co-editor of textbook 'Practical Psychiatric Epidemiology: 2nd edition (OU Press)' 

Information on current studies:

Protocol for ECHASM

Privacy notice for APMS data usage for study on MP health 

Privacy notice for APMS data usage for study on multimorbidities

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality
  • SDG 8 - Decent Work and Economic Growth
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 16 - Peace, Justice and Strong Institutions

Fingerprint

Dive into the research topics where Jayati Das-Munshi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or