Mental Illness -- Stigma or Sexy?


Full confession time.  You may have noticed that I respect copyright.  I use images in the public domain or with permission, and don't use pictures where permission has been denied.  Which sometimes is a real bite.  The Des Moines Register...

I don't have permission for this one yet.  I ripped it from a site where you can purchase bracelets to support nkm2.org.  So I urge you to help me atone for my sins, while I write for permission.  Go to this link and buy one.  They have those cute little loony birds on them.  And you know how I love loony!

nmk2.org is Joey (Pants) Pantaliano's bid to make mental illness as cool and as sexy as erectile dysfunction.

Really.



Okay, it hasn't gone viral yet.   But Harrison Ford with one earring is kinda sexy.  It's a start.

It Gets Better

I was going to get funny this week.  But this won't wait.

The message below took place at a city council meeting in the center of Iowa.  It means all the more to me, because I live in Iowa, and because I know this small city in a rural and conservative part of the middle of America -- a fly-over state.

Oops -- a reader corrected my confusion.  Joel Burns is a councilman in Fort Worth, Texas.  Maybe that makes the story even more significant.

Joel Burns, elected to that city council, has lived long enough for it to get better.



Educators who want to respond to his challenge can find resources at the Teaching Tolerance arm of the Southern Poverty Law Center.


Their new documentary and classroom resource, Bullied includes lesson plans and is available for free to any school that requests it.


I also want to plug their quarterly magazine, Teaching Tolerance.  It gives teachers specific ideas and lesson plans for K-12 on many diversity issues.  Subscriptions are available for free to any teacher who requests it, any donor, and also online.

Bullying Has To Become A Crime

I have never understood why schools are law-free zones, why students who beat up other students are not prosecuted for assault, why teachers and administrators who do nothing are not prosecuted for accessory after the fact.

It Is Time To Prevent Bullying

I also have never understood why society places the burden of violence on its victims.  We know the names of recent victims who could no longer bear that burden.  We develop therapies to repair damage that is done to other victims.  But as with PTSD, we treat after the fact.  We do not prevent.

All the bullied teenagers who died recently have been "outed."  But we do not know the names of the bullies.  We do not work on fixing them.

Children who are cruel grow up to be adults who are cruel and raise children who are cruel.  I repeat Joel Burns' challenge to stop the violence.  That is when we will stop the suicides.

We also do not know the names of the witnesses, those who remain silent.  All that it takes for evil to triumph is for good men to do nothing -- Edmund Burke.  These students, too, must find their voices.  We all must.

Meanwhile, If You Need Help Now:

In the U. S., call 1-800-273-TALK (8255)
Press 1 for English, 2 for Spanish.
Click here to find a hotline outside the United States.



Use of the SPLC and Teaching Tolerance logos does not imply
that they have endorsed the views expressed in this post. 

Weighing Costs and Benefits Part IV: Costs

Some people quit taking meds that their doctors believe will relieve their symptoms of mental illness.  Why?

Because the meds don't work, because they can't afford them, because the meds make them sick.

Manifesto:

For any of these reasons, people who quit are making intelligent decisions in their own best interests.

On The Other Hand 

Sometimes the meds do work.  Sometimes people have decent health insurance with good drug coverage.  Sometimes the side effects are not as bad as the disease.  In that case, those who quit their meds are stupid.

Let's just get that right out front.

Moving On To The Costs

Today my series on weighing costs and benefits turns to the costs.  The costs do not tell you whether you should try a medication.  They simply give you the odds.  It is up to you to decide how you want to play the odds.  I calculate the odds based on the numbers of those who quit.  Those who consume have the best information about costs, what actually happens when they put these chemicals in their own particular test tubes.

How Many Of Us Are Noncompliant?

Out of 100 prescriptions that providers write, 10 consumers never consume.  They don't show up at the pharmacy at all.

28 consumers quit within the first month.  That includes those first 10.

50 quit within 60 days.

72 are outta there at six months, 78 within the year.

That leaves 22 compliant consumers.

How Do Noncompliant Consumers Explain Their Decision?

10 out of the 78 don't.  Providers failed to close the sale.  Providers would be interested to know why these 10 are pharmacy no shows, because it might help them improve their pitch.  Their assumptions are that it was because the consumers didn't understand, or the providers didn't establish trust, or that good old back up -- stigma.  But often, consumers don't report their decision.

We could invent reasons, which might be fun, top ten list, that sort of thing.  The drinking buddy said, Buck it up.  Real men don't get depressed.  The transmission fell out of the car on the way to the drug store.  My favorite -- the primary care physician said, Are you kidding?  With your blood glucose and lipid levels?  Does this so-called doctor even own a blood pressure cuff?  However, all this speculation is just that.  These 10 do not give us information about the costs of taking the medication, because they never take it.

So now we have 68 consumers who quit after they tried the meds.  AK Ashton et. al. actually asked them why.

30 (out of the 90 who actually filled the prescription) say they quit because they could not tolerate the side effects.

30 say the medication was not effective.

That already adds up to 70 nonconsumers, counting the nonstarters and leaving eight who quit for other reasons.  I will suggest some of these other reasons, and you will have to come up with the odds yourself that any of them might put you among these 8.  (They may have reasons similar to the 10 who never started.)

And by the way, these numbers vary by how many different medications the consumer has already consumed, which primarily affects the efficacy number.  They also vary by which medication is currently being considered, primarily effecting the side effect number.

We don't have all the numbers we need.  Somebody needs to be collecting this data.  A consumer group, looking at real world data over the course of a year, not the guys with 6-8 weeks of information, seeking FDA permission and doctors' cooperation to sell pills.  But the algorithm itself will work for whatever the numbers turn out to be. 

Let's Start With Side Effects

30 of the 68 who consumed and quit say they quit because of side effects.  The clinical trials, lasting eight weeks or so, report much lower numbers.  The numbers the providers give you are from the clinical trials.

The common belief among providers is that they could improve compliance by giving consumers more information up front about side effects.  Small isolated studies sometimes confirm this over the short haul.  But this belief does not stand up to more research and more time.

Up front discussion of side effects can give the consumer strategies for dealing with insomnia, reducing nausea, preventing falls when they get out of bed.  These are the side effects we notice immediately.  Maybe they are tolerable if you have social supports to get you through the roughest first weeks.  Sometimes your body does  acclimate, and the immediate side effects become less bothersome.

But sometimes these strategies don't work.  Social supports wear out.  Mom has to go home and stop helping you with the kids.  You run out of sick leave.  The body does not adjust.  And sometimes these side effects are indications that you are taking the wrong medication!

But the major side effects appear later.  Which are the most bothersome?  The results: weight gain (31%), erectile dysfunction (25%), failure to reach orgasm (24%) and fatigue (21%).

Weight gain -- a few pounds in the first few months are not a problem.  You hardly notice.  But over the months, when you are moving from overweight to obese, you get a reality check on what this medication really costs.  Morbid obesity takes 8-10 years off your life.

Tell that to your psychiatrist when you complain and he/she says you have to weigh your costs and benefits.  Your doctor may not even know about how serious the health risks of obesity are.  Obesity even increases the risk of dementia.  But psychiatrists treat psychological problems with pharmacology.  They do not treat your heart, pancreas or liver.

Then there are the sexual side effects.  When you started the medication, you weren't getting much anyway.  That was one of the symptoms -- loss of interest in formerly pleasurable activities.  But six months later when you're not getting any, you (and your partner) recalculate your costs and benefits.

Hence, these noncompliance numbers go up over time.

Side Effects In The Algorithm

The major competition between makers of psychotropic medications has always been on this side effect issue.  It turns out, we just won't keep taking stuff that makes us feel worse.  So sometimes you can find studies that pit one against the other and get real numbers about side effects.

STAR*D found that in just 8 weeks, a combo of lithium/sertraline (Zoloft) got an intolerable rate of 45%, 2-5 times any other treatment.  Effectiveness rate -- 9%.  I wonder how many of the 91% who didn't get better would have been better off if they had taken nothing at all.

Or to put a finer point on it, did lithium/sertraline make matters worse?  They didn't test against placebo, so we don't know.

If the odds of harm are five times the odds of help, I will give it a pass.  That is like rolling the dice, looking for one particular number.  Only it's not dice; it is my body.  That is my personal decision, made after my eighth trial.  It is up to you how you play the odds.

For the sake of the algorithm, SE means the odds that you will quit taking this medication within a year because of side effects.

Efficacy -- What If It Just Doesn't Work?

We already discussed effectiveness in detail on September 2, Weighing Costs and Benefits Part II: Benefits.  Go back there for the details.  It makes more sense if you know the back story.  In summary:

Efficacy for Number of Present Trial (E#PT) means how many people got better with this med after they tried a number of others that didn't work.  Non-Spontaneous Recovery Rate (NSR) means how many people would not have gotten better if they had simply waited for the depression to go away on its own.  Efficacy for Number of Present Trial times Non-Spontaneous Recovery Rate equals Short Term Benefit (STB).  Those are the odds that it will work.

Or, E#PT X NSR = STB.

The abbreviations are there to make me look smart.  Which, as a matter of fact, I am.  Some days, I can make the smart parts of my brain connect  again and actually work smart.

Another way of looking at it: STB is a number between 1 and 100.  That many times out of a 100 are the odds that you have come up a winner.

So then the odds that the medication will not work are 100 minus Short Term Benefit.  We will call that Not Effective (NE)100 - STB = NE.  You have wasted your time, and are more discouraged than ever.  Bummer.

Now you may have noticed, the algorithm calculates the Short Term Benefit for eight to twelve weeks.  And the Short Term Cost refers to one year.  Why the difference?  Because you will likely be one of the early quitters (50%) if you don't get relief by twelve weeks.  And if you do get relief by then, you are likely to keep taking the medication for a year.  It may quit working for you eventually.  But you are probably good to go for a year.  Hence, twelve weeks for STB and twelve months for STC are probably equivalent measures.

Efficacy -- What About Those Who Quit Before They Gave The Medication An Adequate Trial?

I did not consider how many reported that they discontinued because the medication was ineffective, the 30 out of 90 that Ashton, et al, discovered in their survey.  This number is not helpful, because some of these 30 quit before the full 60 days needed to determine efficacy.

Instead, I used the efficacy numbers reported from the clinical trials.  As a result, those 8% discussed below is a larger group.  It would include the early quitters, because some of them might have gotten better if they had been more patient.

But these numbers are for illustration purposes only.  The algorithm is designed to be general, so that you can insert whatever the numbers turn out to be.

If you quit simply because the medication does not work faster than it works, and for no other reason, then you go into the stupid category.  Just to get that right out front.

Other Costs

8% (plus) quit taking the medication primarily for other reasons.  I expect that money, stigma and trust are the the big ones, with stupid in there, too, as stated above.

Money

Let's face it.  These medications cost money.  There are two costs to consider.  The first is the pills themselves.  The provider may provide you with samples, if yours is the newest wonder drug being promoted this week.  The samples likely last for two or three weeks.  This is good, if it helps you determine early on that there is no way you can tolerate the medication, even long enough for some of the side effects to become less troublesome.

On the other hand, it does not help you determine whether the medication will be effective.  That takes more time and your own money, a lot of it, if yours is the newest wonder drug being promoted this week, which you can count on, if you have failed to prove your provider a genius by getting better with his/her first or second choice.

If you have a good drug benefit, cost of medication may not be a major issue.  I now get my generics for free.  I represent a very, very small portion of the U.S. population.

I used to have insurance with a high deductible and mediocre drug benefits.  After the samples ran out, I paid $120 for a two month supply from a company that required I buy from them by mail order.  By the time the pills arrived, I had already discovered I couldn't tolerate the med.  I never even opened their bottle.  Meanwhile, I had to pay through the nose at my local pharmacy for the two weeks it took me to taper off.

In addition to the medications, you will pay for medical management, trips to the provider who will monitor your condition and tweak the chemistry experiment.

Again, these costs will vary by insurance plans and whether you have insurance at all.  With my current insurance, I pay $5/visit.  In my previous plan, I paid $40.  If I had no insurance at all, the cost would be $135.  And I see my doc every six weeks on average.

I cannot assign a number to the odds that you will quit a medication because of how much money it will cost you.  That is your call. Out of 100, what are the odds that you will quit because you cannot afford it?  We will call that $$$ in the algorithm.

Stigma

Okay, if you have made it this far through the Costs and Benefits series, you ought to be motivated enough to resist those who shame you (including yourself) for relying on a pill, for being weak, for being sick... whatever garbage they throw at you and you throw at yourself.  Please let's get over it.  I hope your stigma number is low.  But again, that is your call.  Out of 100, what are the odds you will quit for reasons of stigma? -- STG.

Trust

Next, out of 100, what are the odds that you will quit because you cannot find a provider you trust with your body, or because you think the pharmaceutical industry is corrupt? -- TR.

Stupid

Stupid is a side note.  Providers prescribe the medication because they already believe that the benefits outweigh the costs.  So they expect the stupid category is a large proportion of the noncompliers.   Only they call it confused.

Stupid is irrelevant to the algorithm, which is designed to weigh costs and benefits.  So stupid (or confused) is not in there.  Like stigma, stupid can be fixed.  But it is not a cost.  It is a prior condition.

Down And Dirty Costs

So now we simply add the odds of each of these costs together:

Side Effects plus Not Effective plus Money plus Stigma plus Trust (lack thereof) equals Short Term Costs.

SE + NE + $$$ + STG + TR = STC.

So How Do You Decide?

STC versus STB give you the odds.  Once more I repeat, they do not give you your decision.

We will look at a couple other issues and pull this all together in our next installment.  Whew.  My brain is about to explode.

Flair from Facebook
Clipart from Microsoft
Photo of die by Roland Scheichder, in the  public domain
Photo "Solution" by Salvatore Vuono
Photo "Angry Father" by Akapl616.  Permission is granted to copy
under the terms of the GNU Free Documentation License
Photo of "Tired Man" by graur codrin
Photo "Aces" by Felixco, Inc.
Photo "Loneliness" by graur razvan ionut 
Photo of Pristiq by Tom Varco.  Permission is granted to copy
under the terms of the GNU Free Documentation License
Mademoiselle Zizi Feints at Fainting, by John Sloan

Mental Illness Awareness Week -- One Year Later

A year ago, Prozac Monologues was just crawling, six months old.  I was new to this disability experience.  And NAMI Johnson County was new to me.

I am not sure how Della McGrath decided I was literate.  Maybe I had given her my card, and she read some of the blog.  But she asked me to speak at a candlelight vigil, to remember those who have died from mental illness, give courage to those who hope to survive it, and support to those whose loved ones did not.

The great thing about NAMI -- if able is always part of the contract.  So I could say yes, even when we were using sedation in place of hospitalization.  And hope for the best.

As it turns out, God gave me a window, and I was able to say what is written below.  It is reposted from October 3, 2009.  It is a bit out of date.  Once I was on disability, I could explore and admit to a better diagnosis, bipolar II, in place of major depressive disorder.  Bipolar is a disease with more stigma than vanilla depression.  And hardly anybody has ever heard about bipolar II, so they think the worst.  But now that I wasn't working, stigma didn't matter so much.  And I could let myself take the best bipolar II medication.  I knew its side effects would make my job impossible.  But that didn't matter anymore, either.

The year since has not been an easy one.  But I am still here.  And so, amazingly enough, is Prozac Monologues.  You, dear readers, give me a life that begins to replace the life I lost to this illness. 

Hypomania -- A Day In The Life Of Bipolar II

Everybody knows about bipolar I.  Or they think they do -- the crazy shopping sprees, the missions to save the world.  So when I tell them I have bipolar II, I always hurry to explain, not that kind of bipolar.

So what is bipolar II, they ask.

Okay, it's like this.

Bipolar II Goes To A Party

President Sally Mason of the University of Iowa invited my wife, a University employee, to her house for a reception.  Spouses were invited, too.  Helen likes to show me off, because I am good at parties, can talk with anybody, good social skills.  And I am cute.

So I checked my mood chart.  It was time, past time for the suicidal stage to check out and the better part of the cycle to makes its return.  The better part usually means mild depression, with a few flights into actually feeling good.  The signs were favorable.

I got cuted up and skipped the afternoon dose of valium, anticipating there would be wine.  All my meds make me dizzy, and I wanted to remain on my feet.  Like I said, good social skills.

Weighing the Costs and Benefits Part III -- How to Measure Costs

The doctor said, You have to weigh your costs and benefits.  Today we continue to figure out how to do that, based on more than gut feeling and desperation.  We are building an algorithm, logical rules applied to objective data to solve a specific problem -- in this case, do you want to put these chemicals inside your body?

On August 19 I listed the factors to consideration, benefits, costs, and other issues that affect how these are calculated.  On September 2 I listed the immediate benefits of medication, and gave you a Down and Dirty way to calculate them.  I call it Down and Dirty, because it leaves out long term benefits.  Your psychiatrist will consider this a serious omission.  But we have to start somewhere.  And desperate people have to start with a time frame they can imagine surviving.  Think about the long term benefits once you feel better, and are thinking about quitting.

Today we turn to down and dirty costs.  This is more difficult to calculate, because the research on costs is filtered through the lens of noncompliance.

When you weigh your costs and benefits, if you should happen to decide the costs outweigh the benefits, it would seem logical to give the medication a pass.  On the other hand, if the doctor recommended the medication, it was because he/she has prejudged the matter and considers the benefits to outweigh the costs.

Yesterday the pharmacy attached a piece of paper to my refill.  Every single prescribing information sheet attached to any prescription I have ever received has said the exact same words.  They come in the section on side effects.  Remember that your doctor has prescribed this medication because he or she has judged that the benefit to you is greater than the risk of side effects.

Evidently the you in you have to weigh the cost and benefits refers to the doctor, not to you.  If your opinion differs from your doctor's, then you are noncompliant.

The Filter of Noncompliance Distorts Research

The information available about costs is filtered through this concept of noncompliance, the assumption that the doctor knows better than you.  So when they do research about costs, they are asking, Why do patients fail to comply with the doctor's more educated judgment?  The purpose of the research is to find strategies to get you to comply.

Our algorithm, on the other hand, asks a different question -- I believe a more neutral question.  How do the reasons to take the medication stack up against the reasons not to?  I do not presume an outcome, do not make any judgment, and certainly do not presume your decision.  While I am critical of the oversell, remember, I am currently conducting my own thirteenth trial!  But I have to get my information from people who have already made up their minds.

And they call themselves scientists.

Nancy Andreasen, a National Medal of Science Award winner and one of the world's leading experts on schizophrenia is studying creativity and mental illness.  Her first book on the subject is The Creating Brain: The Neuroscience of Genius.  Her initial hypothesis was that writers generally would not have mental illnesses, but that some family member would.

Andreasen's research proved her hypothesis wrong, at least the part about the writers themselves.  80% of writers have a mental illness, mood disorders being the most common.  This is called a robust finding, which means way more than might occur by coincidence.  And it goes some distance to explain the blogosphere, dontcha think?!  The way she puts it, when the data proves your hypothesis wrong, then you know you are on to something.  In other words, your presupposed ideas have not distorted the interpretation of your data.  This disproved hypothesis put her on a track that led to unexpected, new findings.

Nancy Andreasen is a real scientist.

If scientists started out asking Why don't patients take our good advice? and discovered, Because sometimes patients make better decisions, then they would be on to something.  They might even find a new track that would lead to new findings.

Why Use Noncompliance Rates Instead Of Research Results As A Measure of Costs?

Once you put the pill in your mouth, you are no longer playing the odds.  You are getting results.  Other people have preceded you in this chemistry experiment, first in small numbers in the clinical trials, and then in large numbers in the real world.

The clinical trials yield some information.  What happens in the first 6-8 weeks?  How many people experience fewer symptoms of depression?  How many people go into remission?  How many people get what sort of side effects?  How many people quit before the end of the trial, because the side effects are unbearable?  How do all of these results measure up against placebo?

The clinical trials also take place under circumstances that influence the results.  Three lead to a difference between their results and the results that people in the real world experience.

First, the trial subjects (the word for people who put the chemicals inside their bodies) may be cherry-picked.  This means they are people most inclined to get good results.  Researchers try to recruit subjects who have not tried more than one antidepressant already.  Remember, half of those who are experiencing depression for the first time recover and never get it again.  People who do not recover quickly take more medications, and get worse results with each one.

In the STAR*D study, one of the selection criteria was that the subjects had not already tried any of the meds to be tested.  Those for whom the medication had already been shown ineffective were eliminated.  Which kind of stacked the deck, dontcha think?  Other scientists do.

Second, subjects receive extensive support throughout the trial.  Monitoring itself inevitably influences the results.  When depressed people get to talk about their symptoms, it reduces their isolation and eases the pain that is part of depression.  Even if those administering the medication are trained to be neutral, subjects get better, just because somebody cares enough to ask.

Third, and most significant for our purposes, is that trial subjects receive encouragement, intense encouragement, to endure side effects and finish the trial. 

Your Results May Vary

First, in the real world, even if two antidepressants do not work, consumers are urged to keep trying.  And each subsequent trial reduces the odds that the next one will be effective.

Second, in the real world, consumers are not so carefully monitored.  They are handed a prescription and sent out the door.  Subsequent appointments get briefer and briefer.

Third, in the real world, consumers are less willing to consume chemicals that make them feel worse.  We have jobs, families, lives to live, as best we can.  Nausea, dizziness, blurred vision, anxiety, insomnia... these things make living our lives difficult.

Noncompliance rates over the course of a year measure results the real world.  My guess is that is where you live.

So, how many people have weighed the costs and benefits they experience inside their own test tubes, results, not odds, and run screaming from the door?  Or more likely, tiptoe out to exercise not overt, but covert noncompliance.

What Are Those Noncompliance Numbers Again? 

10% of those prescribed antidepressants never show up at the pharmacy at all.

28% quit within the first month.

50% quit within 60 days.

72% are outta there at six months, 78% within the year.

There are problems with these numbers for our purposes.  All the different reasons for discontinuation are lumped together.  As well, different meds have different rates of discontinuation.  For example, again with the STAR*D study, 16.3% quit Celexa in the first 60 day trial, while 45.5% quit a Lithium/Zoloft combo in the third trial.

Somebody needs to be collecting this data.  Some consumer group, looking at real world data, not the guys seeking permission to sell pills. 

And Why Don't Consumers Consume?

Regarding those first 10%, we just don't know.  We can have some fun guessing.  Top ten list, that sort of thing.  But these guesses do not add to our knowledge.  This is missing data, and we will have to work around it. 

Another 44% say they quit because the medication wasn't effective.

Here we run into a problem.  It takes a while for most of these meds to work.  We don't know how many who quit in the first four weeks could tolerate the medication, but did not give it an adequate trial.

Both providers and consumers have an interest in figuring out this number.  From the provider perspective, these early quitters might respond to a better sales job.  For our purposes, the early quitters fail to give us the information we seek to figure our own odds.

Our algorithm will have to assume that further research will provide the numbers.  Once somebody funds that consumer group.

44% consumers who discontinue medication before their providers would like (the research calls it prematurely) say they did so because it made them sick.  According to the clinical trials, the most common reasons are nausea, headache, drowsiness, and increased anxiety.  These side effects are more common in the 6-8 week time frame.  Eventually, consumers cite weight gain and sexual side effects as the most significant side effects.

These are the types of numbers we will crunch to create our algorithm.  Sketchy as they are, they will be used for illustration purposes, not actual calculations.

But I need another recess -- something fun next week.

Flair from Facebook
Cartoon from Microsoft images
Counseling photo in public domain
Andreasen photo used by permission
Book cover from Amazon.com

The Chemistry Experiment: Muppets Version

When your doctor, pen poised over prescription pad, tells you to weigh your costs and benefits, you will have next to no information with which to do so.  Over the last several and coming weeks, we are constructing an algorithm to help you comply with your doctor's instruction to make this calculation.  But remember, the best this algorithm can do is give you the odds.

After you calculate your odds, you may decide to proceed with this chemistry experiment and put the chemicals at issue inside your body, your own personal test tube.   At that point, you no longer have odds.  You have results.  Your doctor may not expect this, but once you have results, you will weigh your costs and benefits again.  You will make a new decision, this time with new information.

This is a good thing.  This is what people who conduct experiments do.  They use the information they have gained from one experiment to move on to the next.

This week's post is brought to you from the laboratory of Dr. Bunsen Honeydew, with the aid of his assistant Beaker. My thanks to Beaker in particular, for his contribution to science.



photo by Linda Bartlett, in public domain

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