I follow a few people on Twitter who are involved in Geriatrics and it’s a useful way to hear of interesting discussions or guidelines. Recently I saw a tweet by an Irish geriatrician about “evidence-based falls’ prevention”, which turned out to be an extract from a presentation by Sydney based Professor Stephen Lord. I had previously invited him to speak to GP registrars and his summary of what works in primary care was one of the most useful summaries I had heard and I refer to it often.
The visual presentation on slides 32-34 is more memorable but a written summary is as follows:
This seemed an appropriate topic following on from my brief summary of the new osteoporosis guidelines. Whilst writing that I had tried out the online fracture risk tools on myself. Ironically, however, two days after I finished the article I fell from my push bike, fracturing my radius (from standing height so, technically, a minimal trauma fracture). My previously reassuring “fracture risk” has doubled overnight. It was a useful reminder that risk tools are just that, and also that your patient’s risk is never zero, however reassuring it looks. Sometimes crucial factors are absent from the algorithm.
Two weeks later during my dental appointment, in an unexpected tangent, my dentist alerted me to a talk he had heard by Trisha Greenhalgh (Professor of Primary Health Care in Oxford and whom I also follow on Twitter). The talk, entitled Real vs Rubbish EBM, describes her own experience of a high impact fall off her bike which resulted in several fractures. Because she turned 55 in hospital, she entered the “falls algorithm”. It’s well worth watching the lecture for an approach to patient-focussed EBM as well as issues related to the implementation of guidelines. Watch it here
Become a member and get unlimited access to 100s of hours of premium education.
Learn moreTune in for the 'Ticker News' interview, Ahron Young and Dr Stephen Barnett discuss how AI is changing clinical practice in real time, from improving access to evidence at the point of care to the risks of misinformation and AI hallucinations. Dr. Barnett also discusses how MedLuma supports trusted clinical decision-making and the role organisations play in shaping standards as AI becomes embedded in healthcare.
The National Core Community Palliative Medicines List consists of four medicines selected by expert consensus for symptom relief in end-of-life patients. This FastTrack covers the key principles of palliative medicine prescribing, including anticipatory prescribing, ethical considerations, and how to reduce medication errors. 30mins each RP and EA available.
Today, Medcast launched a new Australian AI-led healthcare technology platform, giving doctors and health organisations instant access to contextual answers from trusted clinical knowledge sources while earning Continuing Professional Development (CPD) as they work.