Excited to share that my PhD thesis is now published open-access online. 🎉 If you’re interested in multiple long-term conditions (#mltc) and clustering, here’s a short 🧵: https://t.co/e8AnpC1E6X @Imperial_PCPH@imperialcollege
Our commentary on clustering in multiple long-term conditions (multimorbidity): methodological and translational challenges and solutions
Led by @HDambhaMiller and @drtombeaney
https://t.co/vwo83MvkWd
🎊A long wait but our review protocol is out!
🧐Soon we will reveal the review results capturing the needs and priorities of those affected by multiple chronic conditions.
🤝Thanking our community partners for their vital role in shaping this research https://t.co/1iAqtHgK7w
The UK government is promoting a “strategic shift” from “treatment to prevention.”
Healthcare alone cannot restrain demand and prevention requires action on wider determinants of health, say @Vageesh_Jain and @drtombeaney
https://t.co/j55DzxrP0W
As promised, a short 🧵 on each chapter from my thesis. 📖 In Chapter 1, I set out the challenges of MLTC, my rationale for applying clustering and the importance of considering disease sequences for personalised care.
💡 In my thesis, I draw inspiration from natural language processing, treating the order of diseases in a person as analogous to the order of words in a sentence. Find out more in later chapters! 📚https://t.co/e8AnpC16hp
➡️ Order matters: diseases don’t develop in the same order for everyone. The sequence of conditions can impact how someone interacts with health services and future clinical outcomes. So capturing this information should enable more personalised care.
@GaryMcAllister I agree more generalism will help - and multi-specialist clinics. Coordinating clinics for commonly occurring conditions could have big time-savings for patients
Excited to share that my PhD thesis is now published open-access online. 🎉 If you’re interested in multiple long-term conditions (#mltc) and clustering, here’s a short 🧵: https://t.co/e8AnpC1E6X @Imperial_PCPH@imperialcollege