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Variance 🧵:
Why the media (and non-experts who "dabble" in mortality statistics) particularly suck at reporting the numbers of suicide
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Quite frequently, someone will send me an article like this.
1/ Suicides are up 67% between the ages of 12-17 in Pima County.
By "mid-Nov 20", there have been 43 teen suicides, compared to 38 in total last year!
Without context, it certainly seems that the pandemic or the lockdown is to blame.
2/ Sure enough, i go to @CDC Wonder and fire up Arizona suicides for 2019 between 12-17 and I see there were 36 suicides in 2019 (not sure why there is a discrepancy between AZ DOH and CDC, but this is actually common by about 5%ish).
3/ There is a media motto: "If it bleeds it leads." The media is FAR more likely to report something upsetting, dire and fearful, than it is uplifting, because of our human behaviour. We tune in. We read it.
Thus, the media has a blind spot to the context of death numbers.
4/ Because 36 out of 567,579 kids is about 6.3 per 100,000, this is officially a tragic yet VERY RARE event. What this means is that variance will have a tremendous impact on the relative rate.
This reporter could have reached out to an expert in statistics, but didn't.
5/ Sure enough, when we take a look at the actual numbers, we see TREMENDOUS variance. In fact, 2018 was at 55 by the end of the year and it is VERY UNLIKELY that 2020 will catch up. (It extrapolates to 51 in the year)
6/ Plotted year by year, we can see that 2020 does not appear out of line with any of the previous 10 years, with the error-bars for high-variance comparison overlapping.
(The bars represent 95% CI's - important for comparing two rates, even if whole population)
7/ Also, in suicidology, raw suicide #'s are not helpful to compare without knowing the denominator (number of people and for how long). If I adjust all of the previous years to the 2019 12-17 Arizona population (37% increase in 21 years!), we see 3 pvs yrs that eclipse 2020:
8/ These headlines tell a narrative that simply isn't true. Most data from almost all jurisdictions show that 2020 suicide rates are WELL WITHIN YEARLY VARIANCE from previous years. There is no "wave" or "increase" or "pandemic-caused" suicide wave as a whole.
9/ Now, I am concerned about disproportionate effect on racialized and marginalized groups, but unfortunately, this data is very sparse and difficult to determine.
10/ So the next time you see an article comparing a NUMBER IN 2019 to a NUMBER IN 2020, ask two questions:
"what is the normal variance year by year"
and
"what is the denominator (population) each year?"
11/ And what about that "Suicides are up 67% in 12-17y in Pima" stat?
Well, again, variance matters.
AZ statewide, the % change in the past 10y suicides (12-17) is:
12/ That's right - up MORE THAN 67% has occurred already in the past 10 years. without that context, you could be led to believe that a 67% swing is completely anomalous, when in fact it is most likely right after a significant dip (like in 2019).
13/ If the article does NOT address both points, the article is failing in its task of comparison.
I'm so grateful to all my followers (except if you follow to hate on psychiatry, boo you). This has been a trying year but I enjoy so many aspects of the #twitterverse, especially within #medtwitter, and the opportunity for me to grow and learn. /1
I wanted to thank a few people very specifically, because they changed my life. @uche_blackstock invited me into a mentor zoom chat, where I met and connected with @gboladi, who went on to become the national chair of the @bmsacanada with support from @doctorsofbc. /2
So thank you Dr. Blackstock for helping me move from "acknowledging" inequity into doing something about it. /3
Statistics Canada has released 2019 (!! note !! pre-COVID, yes that's a thing) suicide data. Canada's long-standing relative "flatness" continues, with expected variation.
1/ This is one of my ways to present layered suicide data - a heat map showing the highest rates. For males, we can see that the highest rates are drifting older, but overall, the most recent years are lighter. Yay!
2/ And though female rates are overall much lower, we can see that there was a spike in younger women that has gradually dissipated.
(no group showed changes that fall out of the 95% confidence interval for comparing rates)
/1
By sex, both displayed decreasing rates: (3% in ♀️, 2% in ♂️). The ratio is 3.7♂️ per 1♀️ (20-year-range 3.5-4.4)
♂️-to-♀️ suicide ratio is highly influenced by societal & cultural factors; each country's gender ratio is different (Canada 2.9-3.5, Hong Kong 1.8-2.4)
/2
Both sexes showed decreases in virtually every age group, save the 25-39 male group which showed a tiny increase. The biggest drops were seen in child/teen males, and females <40.
with some caveats (this study was conducted during very low community spread, significant protections were in place), this shows us that when the numbers support it, and with good policies, in person schooling is possible!
The knowledge of the UK situation is very important to put this study into context. Only a few years at each age group were invited to in person class, so schools were significantly less populated than normal (1/8th to 1/4 of the population).
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This restart happened when community spread was very low.
/3
There are other risks than infection control risks. Inpatients with severe mental illnesses require visits, activities, outings, and passes to their families and loved ones, and without this, they can incur direct harm (loss of function, aggression requiring medication, etc).
/1
Hospitals and administrators and infection control need to work together with MENTAL HEALTH EXPERTS to develop COVID/infection control policies that don't cause significant harm to patients with significant illnesses.
THERE ARE OTHER RISKS THAN INFECTION.
Take a hypothetical person with severe schizophrenia:
Pro of "keeping them in isolation for 10 days":
* reduced chance of COVID
Con:
* increased chance of restraint, seclusion, staff and patient violence, distress, loss of function
* decreased chance of compliance, safety
/cont
One of the most frustrating pieces of knowledge about COVID is that at world-wide 830k deaths already, and a curve that looks like this (knowing the slow decay), that deaths will surpass 1M in a 1-2 months This will make it one of the largest pandemics in modern history.
/1
Viruses for which there are no treatment cause death. Not every death is blamable on poor health policy.
I think of a country like New Zealand, which did everything it could and death still occurred. It's not right to blame all deaths on what leaders do.
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But many countries and regions did not heed the basics of viral spread prevention:
* hand hygeine
* stop gatherings
* stay home
* support people who stay home
* contact trace
/3