I think I'll pass, thank you, given that this film appears to be promoting the myth that medical mistakes are the third leading cause of death in the US and uses the most inflated figure I've seen, 440,000 per year.https://twitter.com/ToErrIsHumanDoc/status/972509973036044288 …
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Replying to @gorskon
Totally understand the reaction to that number, but I will say that our film focuses very little on that talking point and moreso on the efforts being made in medicine with preventable harm and the importance of communication and transparency to improve the delivery of care.
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Replying to @ToErrIsHumanDoc
Then why use the 440,000 number as your Twitter header photo?
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Replying to @gorskon @ToErrIsHumanDoc
That number comes from a single paper, and that notably is the “high” estimate that it provided in the range. Why not take the low estimate or the middle? Second, that paper uses global trigger tools, not direct measurement of error to come up with that estimate.
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Why does that matter? Because the tools have poor interhospital consistency and are not appropriately validated. They look for “proxies” for error in administrative data - an unreliable data set, that suggest an error may have happened.
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Worst of all while it may be “validated” for being sensitive to error, I have yet to see that it is specific enough. That is, can someone show me that the tools are not detecting death period? All the proxies are events one would also expect in a dying patient without error.
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Replying to @MarkHoofnagle @gorskon
Throughout our 30+ interviews we encountered people who argued just as fervently that 440k was too low. That the number of deaths across the board caused by easily preventable systemic flaws could be higher.
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Replying to @ToErrIsHumanDoc @gorskon
Fanstastic. 440 would be over half of all deaths happening in the hospital and thats too low. There are people who won’t be happy until it’s 100% I guess but that doesn’t seem a good reason to listen to them. Do any of them actually treat patients?
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Yep. Anyone who thinks 440K is too low an estimate of deaths due to medical error suffers from innumeracy, ignorance of basic death statistics in the US, or both.
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