Dr Mel Ramasawmy

Profile

I am a qualitative researcher working on the MODE study, which aims to understand when interim diagnoses represent missed opportunities to diagnose cancer. 

My background is in health policy, where I covered medicine and medical device safety, and social care. More recently my research has focused on patient experiences of care for long-term health conditions including cardiometabolic disease, Long Covid, obesity and depression; and on digital health inequalities in the South Asian population in the UK. 

Research

Research Interests:

•    Health services research
•    Health inequalities
•    Health policy
•    Digital health

Publications

• Ramasawmy M, Persson DR, Sunkersing D et al. . Uptake of Digital Health Interventions for Cardiometabolic Disease in British South Asian Individuals: Think Aloud Study.

  
  

  DOI: 10.2196/57338

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101665
• Sunkersing D, Goodfellow H, Mu Y et al. (2024). Long COVID symptoms and demographic associations: A retrospective case series study using healthcare application data.

  
  

  DOI: 10.1177/20542704241274292

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101142
• Ramasawmy M, Sunkersing D, Persson DR et al. . “If it all goes digital, we’ll have to learn”: facilitators and barriers to uptake of digital health in British South Asians with cardiometabolic disease.

  
  

  DOI: 10.1186/s44247-024-00083-y

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101021
• Sunkersing D, Ramasawmy M, Alwan NA et al. (2024). What is current care for people with Long COVID in England? A qualitative interview study.

  
  

  DOI: 10.1136/bmjopen-2023-080967

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101672
• Clutterbuck D, Ramasawmy M, Pantelic M et al. (2024). Barriers to healthcare access and experiences of stigma: Findings from a coproduced Long Covid case‐finding study.

  
  

  DOI: 10.1111/hex.14037

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101040
• Volsche S, Wathan J, Abbas N et al. . Cross-Cultural Variation in Human–Animal Interaction.

  
  

  DOI: 10.4324/9781003221753-6

  
  

  QMRO:
• Ramasawmy M, Khan N, Sunkersing D et al. (2023). Understanding ethnic inequalities in the design and implementation of digital health interventions for cardiometabolic disease: a qualitative study.

  
  

  DOI: 10.1016/s0140-6736(23)02130-x

  
  

  QMRO:
• Alwan NA, Clutterbuck D, Pantelic M et al. . Long Covid active case finding study protocol: A co-produced community-based pilot within the STIMULATE-ICP study (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways).

  
  

  DOI: 10.1371/journal.pone.0284297

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/91624
• Thorlu-Bangura Z, Poole L, Sood H et al. (2023). Correction to: Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022.

  
  

  DOI: 10.1057/s41271-023-00415-8

  
  

  QMRO:
• Thorlu-Bangura Z, Poole L, Sood H et al. (2023). Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022.

  
  

  DOI: 10.1057/s41271-023-00410-z

  
  

  QMRO: