THREAD

Hospitals are where the most expensive drugs are used, and where new drugs are used.

Hospitals are therefore the place where you will find the biggest variation in quality, safety and cost effectiveness of prescribing.

So the biggest opportunities to do good with data!
That's a lot of money you say!

Yes it is... in fact the medicines spend is about 14% of the entire NHS budget.

Now stay with this thread, it gets good from here. Come into the labyrinth of NHS data flows...
Primary care GP data is routinely shared since forever, aggregated at practice level, but still amazingly detailed. It's been open data for ten years, with no hiccups, creating a vast mountain of data science startups, research papers, and tools like our http://OpenPrescribing.net 
Hospital medicines usage data... has not been shared.

Here it gets interesting. This is often discussed as a TECHNICAL problem.

But it's not.

Hospital medicines usage data is collected, nationally aggregated, normalised, through AT LEAST two systems.

Not sharing is a CHOICE.
So, to be clear, pharma companies are allowed to see what each hospital is prescribing, each specialist unit, etc, in order to market at them. But http://OpenPrescribing.net  & other analysts are not allowed to see the same data to help improve quality, safety, and cost effectiveness
But maybe we think that's ok: private companies, private money, private purposes, private data. Sure thing.

HOWEVER.

This hospital medicines data is also collected, aggregated, normalised, nationally, across the NHS, in an NHS funded system...
This system is paid for by individual NHS Trusts. Where is the data? What's done with it? All the contracts are secret. So are the dashboards. And nobody sees the raw data! Hospitals are allowed to see some "dashboards" made by the company, but only Trusts can see their own data.
Under emergency Brexit plans NHS England paid extra to see a few bespoke views onto the data. Nobody knows what these are. Why does this matter? Because analytic windows and dashboards are not the same as raw data. They can be done well or badly. You need to check working.
Otherwise you get things like this. The company collecting data and selling dashboards claims it has saved one trust £110 000 a year. But... No clear explanation of the methods used, nothing to identify the trust where this saving was reportedly made, no access to the data used..
This is the equivalent of me saying "my new drug cures cancer er no i won't show you how i found that out". It is INCONCEIVABLE that you'd be able to make assertions with no supporting evidence in healthcare research. Why is operational research different? https://journals.sagepub.com/doi/full/10.1177/0141076820930666
Another. NHS Improvement used this data and claimed they'd saved the NHS “£324 million in one year” on prescribing costs. No description of the analytical methods. They later shared an online webinar and one page diagram, after we raised concerns, giving minimal methods info.
This analysis is done behind needlessly closed doors. Its quality and character are unknown. It cannot be critically reviewed and improved by others with complementary knowledge and expertise in data science or prescribing.
So this closed work is HIGHLY likely to miss opportunities for improving patient care.

Conversely, if the work is excellent, nobody can learn from the methods.

This is senseless.
(I'm nearly done).
How do we know that it's worth sharing this aggregated hospital-level medicines usage data? Because the aggregated GP practice-level data has supported a huge ecosystem of data science startups, research, and quality improvement projects. Some examples:
ALL OF THIS WORK IS BLOCKED IN HOSPITALS because the NHS will not share the hospital aggregated medicines usage data. There will be HUGE savings for the NHS, needlessly left on the table. Huge unwarranted variation in care, left unaddressed, exposing patients needlessly.
We've been alerted to murmurs, since our paper was published, of people saying "this is wrong... the problem is already fixed". That is not helpful. The problem has not been fixed. This data remains inaccessible. There is only one test: do I have this data in my laptop today? No.
See the replies for people who are similarly trying to get this data to do good for the NHS, improving care, spotting savings, reducing patients' risk, with data. https://twitter.com/joefd/status/1290963505886171136
You can follow @bengoldacre.
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