Prescribed Medicines in Wales - some observations

Chapters Images Credits Why use this site? Why I chose... Highlights Requested analysis Update log Next steps Growth Checker (Alpha) Growth Tables v1 (Alpha)

Remember - its the cost and benefit/harm of the 'treatment' that counts - not just (or even very much) the cost the medicines

Resources required may include (sometimes specialist) staff time, diagnostics, OP time.
Taking patient logistics, desires and needs may also influence choice
In general, evidence still suggests patients are overtreated with meds, though in some areas of therapeutics, undertreatment is common
Avoiding unnecessary treatment helps everyone.
If the treatment is to provide the benefits we expect, it also has to be possible, better easy, for the patient to consume it
Taking the time to get to that point is a challenge - but pharmacy staff, specialist nurses, and PhAs in primary care, offer a resource that is likely cost effective for this role

References here [In progress]
All the same, everything else being equal, choosing cost effective medicines keeps the money in the NHS.

Now a race against new variants - but still making good progress


via GIPHY



Updates - see Updates

  • Updated subsection line graphs to November 2020 data (latest available)
  • 2021 gif
  • Preparation for highlighting fast growth areas - first, and second, prototypes (see nav bar above)

Plans for next steps, see this page

Why have I made the choices you see in this website, so far?

Caspa, SPIRA, and other rich data visualisations available within the NHS are very powerful
They are also built on infrastructure that is inherently quite slow, on a sometimes overloaded IT Network
Current resources focus on (mostly) different areas from mine

  • I chose subsections as a focus because Chapters are too generic, and chemicals/presentations only tell part of a story about therapeutic use
  • At the moment I have excluded vaccines from the growth analysis - they will dominate change for several months, if not years, between months across a year
  • .... and I am sure someone is already keeping a close eye on that

..and as I said on page one, of course....

Here's some possibilities:

  • There's no javascript so it's fast
  • It can be viewed in Netsurf - which is blazingly fast [because there's no javascript]
  • You don't need to be inside the NHS network to see it
  • Because it uses few resources, its easy to have multiple windows open, to compare (- it's still fast)
  • Subsection data graphs are updated within 48 hours of new data dump by NWIS (or 20 minutes from when I spot they are there)
  • You may get insights from a somewhat bright and experienced mind, on interesting factors (depeindng on how much coffee is available, or if I can find one)

Meanwhile send suggestions/requests to kevin"put at sign in here"awelfa.work


External Version