New case this morning for CBL! Patient presenting with rectal bleeding and abdominal cramps, had symptoms for some time. Was taking Imodium, seemed to be very ineffective. I am scribe for this case, and took notes on the discussions we had - we tried to pin down an early diagnosis to limit our options, and looked for differential factors. Bright red blood indicates a problem in the lower GI tract, the anatomy of which we'll be covering in a lecture on Monday morning before our next CBL session.
There was also an interesting issue with the consult itself - the patient had been brought in by their partner, who occasionally interrupted and provided corrective information when the patient was not entirely truthful with the GP. This is a bit of a dilemma, because although the new information is more helpful in terms of getting the diagnosis correct and providing the best treatment plan, this was information the patient had not fundamentally consented to provide. I'm not sure how I feel about that - would probably err on the side of asking the partner to leave if they kept interrupting.
Two SocPop lectures in the afternoon - introducing terms like prevalence, incidence and how these metrics are tracked over time, as well as their relevance to clinical practice. We also looked at the sources of demographic information available to the NHS, such as the Office for National Statistics (ONS) and the UK census, as well as the advantages and limitations for each source in terms of developing policy. This included a brief look at the ICD-10 system, the International Classification of Diseases and how this system records the causes of death in patients - for example, the code E14.1 describes death due to diabetes mellitus with ketoacidosis.
The day concluded with a stats-based session where we used the information from the previous lectures to calculate disease incidence rates and prevalence for ourselves. Stats is the one area of mathematics I actively enjoy, mostly because its applications to the real world are so obvious and accessible. It's a combination of two factors really; I care an enormous amount about sensible, pragmatic policy design, and am also remarkably unintelligent. Which of those is the larger contributor to my position on statistics is up to you.