Category Archives: Health Care

Cash Flows and Hospital Woes

10 Sunday Jan 2021

Posted by in Coronavirus, Health Care

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Here’s one of the many entertaining videos made by people who want to convince you that hospitals are overrun with COVID patients (and here is another, and here, here, and here). That assertion has been made repeatedly since early in the pandemic, but as I’ve made clear on at least two occasions, the overall system has plenty of capacity. There are certainly a few hospitals at or very near capacity, but diverting patients is a long-standing practice, and other hospitals have spare capacity to handle those patients in every state. Those with short memories would do well to remember 2018 before claiming that this winter is unique in terms of available hospital beds.

An old friend with long experience as a hospital administrator claimed that I didn’t account for staffing shortfalls in my earlier posts on this topic, but in fact the statistics I presented were all based on staffed inpatient or ICU beds. Apparently, he didn’t read those posts too carefully. Moreover, it’s curious that a hospital administrator would complain so bitterly of staffing shortfalls in the wake of widespread hospital layoffs in the spring. And it’s curious that so many layoffs would accompany huge bailouts of hospital systems by the federal government, courtesy of the CARES Act.

In fairness, hospitals suffered huge declines in revenue in the spring of 2020 as elective procedures were cancelled and non-COVID patients stayed away in droves. Then hospitals faced the expense of covering their shortfalls in PPE. We know staffing was undercut when health care workers were diagnosed with COVID, but in an effort to stem the red ink, hospitals began laying-off staff anyway just as the the COVID crisis peaked in the spring. About 160,000 staffers were laid off in April and May, though more than half of those losses had been recovered as of December.

Did these layoffs lead to a noticeable shortfall in hospital capacity? It’s hard to say because bed capacity is a squishy metric. When patients are discharged, staffed beds can ratchet down because beds might be taken “off-line”. When patients are admitted, beds can be brought back on-line. ICU capacity is flexible as well, as parts of other units can be quickly modified for patients requiring intensive care. And patient ratios can be adjusted to accommodate layoffs or an influx of admissions. Since early in the fall, occupancy has been overstated for several reasons, including a new requirement that beds in use for observation of outpatients with COVID symptoms for 8 hours or more must be reported as beds occupied. However, there are hospitals claiming that COVID is stressing capacity limits, but nary a mention of the earlier layoffs.

So where are we now in terms of staffed hospital occupancy. The screen shot below is from the HHS website and represents staffed bed utilization nationwide. 29% of capacity is open, hardly a seasonal anomaly, and there are very few influenza admissions thus far this winter, which is rather unique. 37% of ICU beds are available, and COVID patients, those admitted either “for” or “with” COVID, account for less than 18% of inpatients, though again, that includes observational beds.

Next are the 25 states with the highest inpatient bed utilization as of January 7th. Rhode Island tops the list at just over 90%, and eight other states are over 80%. In terms of ICU utilization, Georgia and Alabama are very tight. California and Arizona are outliers with respect to proportions of COVID inpatients, 41% and 38%, respectively. Finally, CA, GA, AL and AZ are all near or above 50% of ICU beds occupied by COVID patients.

So some of the states reaching the peak of their fall waves are pretty tight, and there are states with large numbers of very serious cases. Nevertheless, in all states there is variation across local hospitals to serve in relief, and it is not unusual for hospitals to suffer wintertime strains on capacity.

Los Angeles County is receiving much attention for recent COViD stress placed on hospital capacity. But it is hard to square that narrative with certain statistics. For example, Don Wolt notes that the state of California reports available ICU capacity in Southern CA of zero, but LA County has reported 10% ~ 11% for weeks. And the following chart shows that LA County occupancy remains well below it’s July peak, especially after a recent downward revision from the higher level shown by the blue dashed line.

Interestingly, the friend I mentioned said I should talk with some health system CEOs about recent occupancies. He overlooked the fact that I quoted or linked to comments from some system CEOs in my earlier posts (linked above). It’s noteworthy that one of those CEOs, and this report from the KPI Institute, propose that an occupancy rate of 85% is optimal. This medical director prefers a 75% – 85% rate, depending on day of week. These authors write that there is no one “optimal” occupancy rate, but they seem to lean toward rates below 85%. This paper reports a literature search indicating ICU occupancy of 70% -75% is optimal, while noting a variety of conditions may dictate otherwise. Seasonal effects on occupancy are of course very important. In general, we can conclude that hospital utilization in most states is well within acceptable if not “optimal” levels, especially in the context of normal seasonal conditions. However, there are a few states in which some hospitals are facing tight capacity, both in total staffed beds and in their ICUs.

None of this is to minimize the challenges faced by administrators in managing hospital resources. No real crisis in hospital capacity exists currently, though hospital finances are certainly under stress. Yes, hospitals collect greater reimbursements on COVID patients via the CARES Act, but COVID patients carry high costs of care. Also, hospitals have faced steep declines in revenue from the fall-off in other care, high costs in terms of PPE, specialized equipment and medications, and probably high temporary staffing costs in light of earlier layoffs and short-term losses of staff to COVID infections. The obvious salve for many of these difficulties is cash, and the most promising source is public funding. So it’s unsurprising that executives are inclined to cry wolf about a capacity crisis. It’s a simple story and more appealing than pleading for cash, and it’s a scare story that media are eager to push.

Most Hospitals Have Ample Capacity

05 Saturday Dec 2020

Posted by in Coronavirus, Health Care

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Let’s get one thing straight: when you read that “hospitalizations have hit record highs”, as the Wall Street Journal headline blared Friday morning, they aren’t talking about total hospitalizations. They reference a far more limited set of patients: those admitted either “for” or “with” COVID. And yes, COVID admissions have increased this fall nationwide, and especially in certain hot spots (though some of those are now coming down). Admissions for respiratory illness tend to be highest in the winter months. However, overall hospital capacity utilization has been stable this fall. The same contrast holds for ICU utilization: more COVID patients, but overall occupancy rates have been fairly stable. Several factors account for these differing trends.

Admissions and Utilization

First, take a look at total staffed beds, beds occupied, and beds occupied by COVID patients (admitted “for” or “with” COVID), courtesy of Don Wolt. Notice that COVID patients occupied about 14% of all staffed beds over the past week or so, and total beds occupied are at about 70% of all staffed beds.

Is this unusual? Utilization is a little high based on the following annual averages of staffed-bed occupancy from Statista (which end in 2017, unfortunately). I don’t have a comparable utilization average for the November 30 date in recent years. However, the medical director interviewed at this link believes there is a consensus that the “optimal” capacity utilization rate for hospitals is as high as 85%! On that basis, we’re fine in the aggregate!

The chart below shows that about 21% of staffed Intensive Care Unit (ICU) beds are occupied by patients having COVID infections, and 74% of all ICU beds are occupied.

Here’s some information on the regional variation in ICU occupancy rates by COVID patients, which pretty much mirror the intensity of total beds occupied by COVID patients. Fortunately, new cases have declined recently in most of the states with high ICU occupancies.

Resolving an Apparent Contradiction

There are several factors that account for the upward trend in COVID admissions with stable total occupancy. Several links below are courtesy of AJ Kay:

  • The flu season has been remarkably light, though outpatients with symptoms of influenza-like illness (ILI) have ticked-up a bit in the past couple of weeks. Still, thus far, the light flu season has freed up hospital resources for COVID patients. Take a look at the low CDC numbers through the first nine weeks of the current flu season (from Phil Kerpen):
  • There is always flexibility in the number of staffed beds both in ICUs and otherwise. Hospitals adjust staffing levels, and beds are sometimes reassigned to ICUs or from outpatient use to inpatient use. More extreme adjustments are possible as well, as when hallways or tents are deployed for temporary beds. This tends to stabilize total bed utilization.
  • The panic about the fall wave of the virus sowed by media and public officials has no doubt “spooked” individuals into deferring care and elective procedures that might require hospitalization. This has been an unfortunate hallmark of the pandemic with terrible medical implications, but it has almost surely freed-up capacity.
  • COVID beds occupied are inflated by a failure to distinguish between patients admitted “for” COVID-like illness (CLI) and patients admitted for other reasons but who happen to test positive for COVID — patients “with” COVID (and all admissions are tested).
  • Case inflation from other kinds of admissions is amplified by false positives, which are rife. This leads to a direct reallocation of patients from “beds occupied” to “COVID beds occupied”.
  • In early October, the CDC changed its guidelines for bed counts. Out-patients presenting CLI symptoms or a positive test, and who are assigned to a bed for observation for more than eight hours, were henceforth to be included in COVID-occupied beds.
  • Also in October, the FDA approve an Emergency Use Authorization for Remdesivir as a first line treatment for COVID. That requires hospitalization, so it probably inflated COVID admissions.
  • The CDC also announced severe penalties in October for facilities which fail to meet its rather inclusive COVID reporting requirements, creating another incentive to capture any suspected COVID case in its reports.

In addition to the above, let’s not forget: early on, hospitals were given an incentive to diagnose patients with COVID, whether tested or merely “suspected”. The CARES Act authorized $175 billion dollars for hospitals for the care of COVID patients. In the spring and even now, hospitals have lost revenue due to the cancellation of many elective procedures, so the law helped replace those losses (though the distribution was highly uneven). The point is that incentives were and still are in place to diagnose COVID to the extent possible under the law (with a major assist from false-positive PCR tests).

Improved Treatment and Treatment

While more COVID patients are using beds, they are surviving their infections at a much higher rate than in the spring, according to data from FAIR Health. Moreover, the average length of their hospital stay has fallen by more than half, from 10.5 to 4.6 days. That means beds turn over more quickly, so more patients can be admitted over a week or month while maintaining a given level of hospital occupancy.

The CDC just published a report on “under-reported” hospitalization, but as AJ Kay notes, it can only be described as terrible research. Okay, propaganda is probably a better word! Biased research would be okay as well. The basic idea is to say that all non-hospitalized, symptomatic COVID patients should be counted as “under-counted” hospitalizations. We’ve entered the theater of the absurd! It’s certainly true that maxed-out hospitals must prioritize admissions based on the severity of cases. Some patients might be diverted to other facilities or sent home. Those decisions depend on professional judgement and sometimes on the basis of patient preference. But let’s not confuse beds that are unoccupied with beds that “should be occupied” if only every symptomatic COVID patient were admitted.

Regional Differences

Finally, here’s a little more information on regional variation in bed utilization from the HealthData.gov web site. The table below lists the top 25 states by staffed bed utilization at the end of November. A few states are highlighted based on my loose awareness of their status as “COVID “hot spots” this fall (and I’m sure I have overlooked a couple. Only two states were above 80% occupancy, however.

The next table shows the 25 states with the largest increase in staffed bed utilization during November. Only a handful would appear to be at all alarming based on these increases, but Missouri, for example, at the top of the list, still had 27% of beds unoccupied on November 30. Also, 21 states had decreases in bed utilization during November. Importantly, it is not unusual for hospitals to operate with this much headroom or less, which many administrators would actually prefer.

Of course, certain local markets and individual hospitals face greater capacity pressures at this point. Often, the most crimped situations are in small hospitals in underserved communities. This is exacerbated by more limited availability of staff members with school-age children at home due to school closures. Nevertheless, overall needs for beds look quite manageable, especially in view of some of the factors inflating COVID occupancy.

Conclusion

Marc Boom, President and CEO of Houston Methodist Hospital, had some enlightening comments in this article:

“Hospital capacity is incredibly fluid, as Boom explained on the call, with shifting beds and staffing adjustments an ongoing affair. He also noted that as a rule, hospitals actually try to operate as near to capacity as possible in order to maximize resources and minimize cost burdens. Boom said numbers from one year ago, June 25, 2019, show that capacity was at 95%.”

So there are ample beds available at most hospitals. A few are pinched, but resources can and should be devoted to diverting serious COVID cases to other facilities. But on the whole, the panic over hospital capacity for COVID patients is unwarranted.

COVID and Hospital Capacity

15 Sunday Nov 2020

Posted by in Health Care, Pandemic

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The fall wave of the coronavirus has brought with it an increase in COVID hospitalizations. It’s a serious situation for the infected and for those who care for them. But while hospital utilization is rising and is reaching tight conditions in some areas, claims that it is already a widespread national problem are without merit.

National and State Hospital Utilization

The table below shows national and state statistics comparing beds used during November 1-9 to the three-year average from 2017 – 19, from Justin Hart. There are some real flaws in the comparison: one is that full-year averages are not readily comparable to particular times of the year, with or without COVID. Nevertheless, the comparison does serve to show that current overall bed usage is not “crazy high” in most states, as it were. The increase in utilization shown in the table is highest in IA, MT, NV, PA, VT, and WI, and there are a few other states with sizable increases.

Another limitation is that the utilization rates in the far right column do not appear to be calculated on the basis of “staffed” beds, but total beds. The U.S. bed utilization rate would be 74% in terms of staffed beds.

Average historical hospital occupancy rates from Statista look like this:

Again, these don’t seem to be calculated on the basis of staffed beds, but current occupancies are probably higher now based on either staffed beds or total beds.

As of November 11th, a table available at HealthData.gov indicates that staffed bed utilization in the U.S. is at nearly 74%, with ICU utilization also at 74%. As the table above shows, states vary tremendously in their hospital bed utilization, a point to which I’ll return below.

COVID patients were using just over 9% of of all staffed beds and just over 19% of ICU beds as of November 11th. One caveat on the reported COVID shares you’ll see for dates going forward: the CDC changed its guidelines on counting COVID hospitalizations as of November 12th. It is now a COVID patient’s entire hospital stay, rather than only when a patient is in isolation with COVID. That might be a better metric if we can trust the accuracy of COVID tests (and I don’t), but either way, the change will cause a jump in the COVID share of occupied beds.

Interpreting Hospital Utilization

Many issues impinge on the interpretation of hospital utilization rates:

First, cases and utilization rates are increasing, which is worrisome, but the question is whether they have already reached crisis levels or will very soon. The data doesn’t suggest that is the case in the aggregate, but there certainly there are hospitals bumping up against capacity constraints in some parts of the country.

Second, occupancies are increasing due to COVID patients as well as patients suffering from lockdown-related problems such as self-harm, psychiatric problems, drug abuse, and conditions worsened by earlier deferrals of care. We can expect more of that in coming weeks.

Third, lockdowns create other hospital capacity issues related to staffing. Health care workers with school-aged children face the daunting task of caring for their kids and maintaining hours on jobs for which they are critically needed.

Fourth, there are capacity issues related to PPE and medical equipment that are not addressed by the statistics above. Different uses must compete for these resources within any hospital, so the share of COVID admissions has a strong bearing on how the care of other kinds of patients must be managed.

Fifth, some of the alarm is purely case-driven: all admissions are tested for COVID, and non-COVID admissions often become COVID admissions after false-positive PCR tests, or simply due to the presence of mild COVID with a more serious condition or injury. However, severe COVID cases have an outsized impact on utilization of staff because their care is relatively labor-intensive.

Sixth, there are reports that the average length of COVID patient stays has decreased markedly since the spring (it is hard to find nationwide figures), but it is also increasingly difficult to find facilities for post-acute care required for some patients on discharge. Nevertheless, if improved treatment reduces average length of stay, it helps hospitals deal with the surge.

Finally, thus far, the influenza season has been remarkably light, as the following chart from the CDC shows. It is still early in the season, but the near-complete absence of flu patients is helping hospitals manage their resources.

St. Louis Hotspot

The St. Louis metro area has been proclaimed a COVID “hotspot” by the local media and government officials, which certainly doesn’t make St. Louis unique in terms of conditions or alarmism. I’m curious about the data there, however, since it’s my hometown. Here is hospital occupancy on the Missouri side of the St. Louis region:

It seems this chart is based on total beds, not staffed beds, However, one of the interesting aspects of this chart is the variation in capacity over time, with several significant jumps in the series. This has to do with data coverage and some variation in daily reporting. Almost all of these data dashboards are relatively new, so their coverage has been increasing, but generally in fits and starts. Reporting is spotty on a day-to-day basis, so there are jagged patterns. And of course, capacity can vary from day-to-day and week-to-week — there is some flexibility in the number of beds that can be made available.

The share of St. Louis area beds in use was 61% as of November 11th (preliminary). COVID patients accounted for 12% of hospital beds. ICU utilization in the St. Louis region was a preliminary 67% as of Nov. 11, with COVID patients using 29% of ICU capacity (which is quite high). Again, these figures probably aren’t calculated on the basis of “staffed” beds, so actual hospital-bed and ICU-bed utilization rates could be several percentage points higher. More importantly, it does not appear that utilization in the St. Louis area has trended up over the past month.

At the moment, the St. Louis region appears to have more spare hospital capacity than the nation, but COVID patients are using a larger share of all beds and ICU beds in St. Louis than nationwide. So this is a mixed bag. And again, capacity is not spread evenly across hospitals, and it’s clear that hospitals are under pressure to manage capacity more actively. In fact, hospitals only have so many options as the share of COVID admissions increases: divert or discharge COVID and non-COVID patients, defer elective procedures, discharge COVID and non-COVID patients earlier, allow beds to be more thinly staffed and/or add temporary beds wherever possible.

Closing Thoughts

Anyone with severe symptoms of COVID-19 probably should be hospitalized. The beds must be available, or else at-home care will become more commonplace, as it was for non-COVID maladies earlier in the pandemic. A continued escalation in severe COVID cases would require more drastic steps to make hospital resources available. That said, we do not yet have a widespread capacity crisis, although that’s small consolation to areas now under stress. And a few of the states with the highest utilization rates now have been rather stable in terms of hospitalizations — they already had high average utilization rates, which is potentially dangerous.

COVID is a seasonal disease, and it’s no surprise that it’s raging now in areas that did not experience large outbreaks in the spring and summer. And those areas that had earlier outbreaks have not had a serious surge this fall, at least not yet. My expectation and hope is that the midwestern and northern states now seeing high case counts will soon reach a level of prevalence at which new infections will begin to subside. And we’re likely to see a far lower infection fatality rate than experienced in the Northeast last spring.

Not News: Infections and Long-Term Complications

06 Sunday Sep 2020

Posted by in Coronavirus, Health Care

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At 15 years of age I was diagnosed as a Type I diabetic — 49 years ago. I had a genetic predisposition, but I’ve been told by several endocrinologists over the years that an “event” likely triggered the antibody response for which I was predisposed. The event was, in all probability, a viral or bacterial infection. The autoimmune response to that infection attacked the islet cells in my pancreas and destroyed my body’s ability to produce insulin. I’ve been dependent on external delivery of insulin ever since. Life goes on.

I relate this information to emphasize that it is not “novel” for a virus to trigger long-term “complications”. Recently, certain media factions have been shrieking about the long-term complications that might be triggered by the coronavirus (C19) even in those with otherwise light symptoms. Those are unfortunate, but again, this aspect of viral and bacterial infection is not uncommon.

We know, for example, that bacterial and viral infections often trigger autoimmune diseases like diabetes. Other examples are chronic fatigue syndrome, fibromyalgia, rheumatoid conditions, celiac disease, Graves’ disease, Guillain-Barré syndrome, Sjogren’s Syndrome, multiple sclerosis, and many others.

One condition that’s been cited as an especially dangerous complication of C19 is myocarditis, or inflammation of the heart muscle. This has been invoked as a reason to cancel sports competitions, for example. (See here for a denial of one rather hyperbolic claim regarding this condition.) Myocarditis has a long history as a side effect of influenza. Most people recover with no long-term complications, and others manage to live with it and remain productive. While C19 is “novel”, infection-induced myocarditis is not.

If you catch a virus or a bacterial infection, you might experience other complications with varying severity. Get used to the idea. It’s an unfortunate fact of life.

Trump Hates/Loves Lockdowns, Dumps on Swedes

07 Sunday Jun 2020

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President Trump was in a festive mood last Friday, pleased with the May employment report, as he should be. But in his Rose Garden word jam, he made some questionable and unnecessary claims about coronavirus policies in the U.S. and the Swedish experience. I credit Trump for pushing to end the lockdowns as it became clear that they were both unhealthy and unsustainable. However, he’s now way too eager to cover his earlier tracks. That is, he is now defensive about the precautions he advocated on the advice of his medical experts in March and early April.

In the Rose Garden, Trump said that lockdowns were necessary to stop the spread of the virus. But to assert that lockdowns “stopped” or even slowed the spread of the virus is speculation at best, and they had deadly effects of their own. Most of the social distancing was achieved through voluntary action, as I have argued previously. Lockdown advocacy lacked any semblance of geographic nuance, as if uniform application makes sense regardless of population density.

Trump went on to say that Sweden was in “bad shape” because it did not impose a lockdown during the pandemic. This is not a new position for the president, but the facts are anything but clear-cut. Again, there is mixed evidence on whether mandatory lockdowns have a real impact on the spread or mortality of the coronavirus (also see here). That’s not to say that social distancing doesn’t work, but much of the benefit comes from private decisions to mitigate risk via distancing. Of course, that also depends on whether people have good information to act on. And to be fair, Sweden did take certain measures such as banning gatherings of more than 50 people, closing schools, and limiting incoming travel.

While the full tale has not been told, and Sweden’s death rate is high on a per capita basis, several other Western European countries that imposed lockdowns have had even higher death rates. The following chart is from the Institute for Health Metrics and Evaluation (IMHE). It is expressed in terms of coronavirus deaths per 100,000 of population. The orange line is Sweden, the purple line is Belgium, and the light blue line is the UK. Actuals are reported through June 4th. While Sweden’s death toll has a somewhat steeper gradient, the level remains well below both Belgium and the UK. It is also lower than the death rates for Italy and Spain, and it is about the same as France’s death rate. Yes, a number of other countries have lower death rates, including the U.S., but the evidence is hardly consistent with Trump’s characterization.

Sweden’s big mistake was not it’s decision to rely on voluntary social distancing, but in failing to adequately protect highly vulnerable populations. The country’s elderly skew older than most countries by several years. Residents of nursing homes have accounted for about half of Sweden’s coronavirus deaths, an international outlier. Inadequate preparedness in elder care has been a particular problem, including a lack of personal protective equipment for workers. There was also a poorly implemented volunteer program, intended to fill-out staffing needs, that appears to have aggravated transmission of the virus.

Sweden has also experienced a concentration of cases and deaths among its large immigrant population. It has the largest immigrant population among the Nordic countries, with large numbers of low income migrants from Syria, Iraq, Iran, Somalia and parts of Eastern Europe. Earlier in the pandemic, according to one estimate, 40% of coronavirus fatalities in Stockholm were in the Somali population. These immigrants tend to live in dense conditions, often in multigenerational households. Many residents with health problems tend to go untreated. Conditions like Vitamin D deficiency and high cholesterol, apparent risk factors for coronavirus severity, likely go untreated in these communities. In addition, language barriers and traditional trust relationships may diminish the effectiveness of communications from public health authorities. In fact, some say the style of Swedish public health messaging was too culturally idiosyncratic to be of much use to immigrants. And one more thing: immigrants are a disproportionately high 28% of nursing home staff in Sweden, implying an intimacy between two vulnerable populations that almost surely acts as a risk multiplier in both.

It might be too harsh to suggest that that Sweden could have prevented the outsized impact of the virus on immigrants. However, Sweden’s coronavirus testing has not been as intensive as other Nordic countries. More testing might have helped alleviate the spread of the virus in nursing homes and in immigrant communities. But the vulnerabilities of the immigrant population might be more a matter of inadequate health care than anything else, both on the demand and supply sides.

Contrary to Trump’s characterization, Sweden’s herd immunity strategy is not the reason for it’s relatively high death rate from the virus. Several countries that imposed lockdowns have had higher death rates. And Sweden’s death rate has been heavily concentrated among the aged in nursing homes and its large immigrant population. It’s possible that Sweden’s approach led to a cavalier attitude with respect identifying vulnerable groups and taking measures that could have protected them, including more intensive testing. Nevertheless, it’s inaccurate and unfair to scapegoat Sweden for not imposing a mandatory lockdown. The choice is not merely whether to impose lockdowns, but how to protect vulnerable populations at least cost. In that sense, general lockdowns are a poor choice.

 

Suspending Medical Care In the Name of Public Health

23 Saturday May 2020

Posted by in Health Care, Pandemic

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Step back in time six months and ask any health care professional about the consequences of suspending delivery of most medical care for a period of months. Forget about the coronavirus for a moment and just think about that “hypothetical”. These experts would have answered, uniformly, that it would be cataclysmic: months of undiagnosed cardiac and stroke symptoms; no cancer screenings, putting patients months behind on the survival curve; deferred procedures of all kinds; run-of-the-mill infections gone untreated; palsy and other neurological symptoms anxiously discounted by victims at home; a hold on treatments for all sorts of other progressive diseases; and patients ordinarily requiring hospitalization sent home. And to start back up, new health problems must compete with all that deferred care. Do you dare tally the death and other worsened outcomes? Both are no doubt significant.

What you just read has been a reality for more than two months due to federal and state orders to halt non-emergency medical procedures in the U.S. The intent was to conserve hospital capacity for a potential rush of coronavirus patients and to prevent others from exposure to the virus. That might have made sense in hot spots like New York, but even there the provision of temporary capacity went almost completely unused. Otherwise, clearing hospitals of non-Covid patients, who could have been segregated, was largely unnecessary. The fears prompted by these orders impacted delivery of care in emergency facilities: people have assiduously avoided emergency room visits. Even most regular office visits were placed on hold. And as for the reboot, there are health care facilities that will not survive the financial blow, leaving communities without local sources of care.

A lack of access to health care is one source of human misery, but let’s ask our health care professional about another “hypothetical”: the public health consequences of an economic depression. She would no doubt predict that the stresses of joblessness and business ruin would be acute. It’s reasonable to think of mental health issues first. Indeed, in the past two months, suicide hotlines have seen calls spike by multiples of normal levels (also see here and here). But the stresses of economic disaster often manifest in failing physical health as well. Common associations include hypertension, heart disease, migraines, inflammatory responses, immune deficiency, and other kinds of organ failure.

The loss of economic output during a shutdown can never be recovered. Goods don’t magically reappear on the shelves by government mandate. Running the printing press in order to make government benefit payments cannot make us whole. The output loss will permanently reduce the standard of living, and it will reduce our future ability to deal with pandemics and other crises by eroding the resources available to invest in public health, safety, and disaster relief.

What would our representative health care professional say about the health effects of a mass quarantine, stretching over months? What are the odds that it might compound the effects of the suspension in care? Confinement and isolation add to stress. In an idle state of boredom and dejection, many are unmotivated and have difficulty getting enough exercise. There may be a tendency to eat and drink excessively. And misguided exhortations to “stay inside” certainly would never help anyone with a Vitamin D deficiency, which bears a striking association with the severity of coronavirus infections.

But to be fair, was all this worthwhile in the presence of the coronavirus pandemic? What did health care professionals and public health officials know at the outset, in early to mid-March? There was lots of alarming talk of exponential growth and virus doubling times. There were anecdotal stories of younger people felled by the virus. Health care professionals were no doubt influenced by the dire conditions under which colleagues who cared for virus victims were working.

Nevertheless, a great deal was known in early March about the truly vulnerable segments of the population, even if you discount Chinese reporting. Mortality rates in South Korea and Italy were heavily skewed toward the aged and those with other risk factors. One can reasonably argue that health care professionals and policy experts should have known even then how best to mitigate the risks of the virus. That would have involved targeting high-risk segments of the population for quarantine, and treatment for the larger population in-line with the lower risks it actually faced. Vulnerable groups require protection, but death rates from coronavirus across the full age distribution closely mimic mortality from other causes, as the chart at the top of this chart shows.

The current global death toll is still quite small relative to major pandemics of the past (Spanish Flu, 1918-19: ~45 million; Asian Flu, 1957-58: 1.1 million; Hong Kong flu, 1969: 1 million; Covid-19 as of May 22: 333,000). But by mid-March, people were distressed by one particular epidemiological model (Neil Ferguson’s Imperial College Model, subsequently exposed as slipshod), predicting 2.2 million deaths in the U.S. (We are not yet at 100,000 deaths). Most people were willing to accept temporary non-prescription measures to “slow the spread“. But unreasonable fear and alarm, eagerly promoted by the media, drove the extension of lockdowns across the U.S. by up to two extra months in some states, and perhaps beyond.

The public health and policy establishment did not properly weigh the health care and economic costs of extended lockdowns against the real risks of the coronavirus. I believe many health care workers were goaded into supporting ongoing lockdowns in the same way as the public. They had to know that the suspension of medical care was a dire cost to pay, but they fell in line when the “experts” insisted that extensions of the lockdowns were worthwhile. Some knew better, and much of the public has learned better.

Coronavirus Controversies

11 Saturday Apr 2020

Posted by in Health Care, Leftism, Pandemic

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The coronavirus and the tragedy it has wrought has prompted so many provocative discussions that it’s hard to pick just one of those topics for scarce blogging time. So I’ll try to cover two here: first, the question of whether coronavirus deaths are being miscounted; second, the politically-motivated controversy over the use of hydroxychloraquin to treat severe cases of Covid-19.

Counting Deaths

I’ve been suspicious that Covid deaths are being over-counted, but I’m no longer as sure of that. Of course, there are reasons to doubt the accuracy of the death counts. For example, there is a strong possibility that some Covid deaths are simply not being counted due to lack of diagnoses. But there are widespread suspicions that too many deaths with positive diagnoses are being counted as Covid deaths when decedents have severe co-morbidities. Members of that cohort die on an ongoing basis, but now many or all of those deaths are being attributed to Covid-19. A more perverse counting problem might occur when public health authorities instruct physicians to attribute various respiratory deaths to Covid even without a positive diagnosis! That is happening in some parts of the country.

To avoid any bias in the count, I’ve advocated tracking mortality from all co-morbidities and comparing the total to historical or “normal” levels to calculate “excess deaths”. One could also look at all-cause mortality and do the same, though I don’t think that would be quite on point. For example, traffic deaths are certainly way down, which would distort the excess deaths calculation.

Despite the vagaries in counting, there is no question that the coronavirus has been especially deadly in its brief assault on humans. New York has experienced a sharp increase in deaths, as the chart below illustrates (the chart is a corrected version of what appeared in the Reason article at the prior link). The spike is way out of line with normal seasonal patterns, and it obviously corresponds closely with deaths attributable to Covid-19. It is expected to be short-lived, but it might taper over the course of several weeks or months, Once it does, I suspect that the cumulative deaths under all those other curves in the chart will exceed Covid deaths substantially. Also note that the yellow line for the flu just stops when Covid deaths begin, suggesting that the red line probably incorporates at least some “normal” flu deaths.

Once the virus abates, we’ll be able to tell with a bit more certainty just how deadly the pandemic has been. It will be revealed through analyses of excess deaths. For now, we have the statistics we have, and they should be interpreted cautiously.

Hydrocholraquin

A more boneheaded debate centers on the use of the anti-malarial drug hydroxychloraquin (HCQ) to treat coronavirus patients. There have been many successes, particularly in combination with a Z-Pak, or zinc. Guidelines issued by the American Society of  Thoracic Surgeons last week call for HCQ’s use in advanced cases of coronavirus infection. These and other therapies are being tested formally, but many are prescribed outside any formal testing framework. Remdesivir has been prominent among these. Plasma therapy has been as well, and several other possible treatments are under study.

With respect to HCQ, it’s almost as if the Left, much of the media, and a subset of overly “prescriptive” medical experts were goaded into an irrational position via pure Trump Derangement. Just Google or Bing “Hydroxychloraquine Coronavirus” for a bizarre list of alarmist articles about Trump’s mention of HCQ. To take just two of the claims, the idea that Trump stands to earn substantial personal profits from HCQ because he holds a few equity shares in a manufacturer of generic drugs is patently absurd. And claims that shortages for arthritis, lupus, and malaria patients are imminent are unconvincing, given the massive stockpiles now accumulated and the efforts to ramp-up production.

So much lefty hair is on fire over a potential therapy that is both promising and safe that the media message lacks credulity. But more ominously, the Democrat governors of Michigan and Nevada were so petulant that they banned HCQ’s use in their states, though at least Nevada’a governor rescinded his order. It’s almost as if they don’t want it to work, and don’t want to give it a chance to work. Or do I go too far? No, I don’t think so.

Victoria Taft has a good summary of the media backlash against President Trump’s hopeful statements about HCQ. Not only was the FDA’s authority over the use of HCQ misrepresented, there was also a good bit of smearing of various researchers who’d found preliminary evidence of HCQ’s effectiveness. Let’s be honest: the quality of medical research is often inflated by the research establishment. And the media eat up any study with findings that are noteworthy in any way. Over the years, a great deal of medical research has been based on small samples from which statistical hypothesis tests are shaky at best. That’s one reason for the legendary replication problem in medical research. In the case of HCQ, there has been widespread misuse of the term “anecdotal” in the media, prompted by experts like Dr. Anthony Fauci, who should know better. The term was used to describe clinical tests on moderately large groups of patients, at least one of which was a randomized control trial.

Every day we hear stories from individual patients that they were saved by HCQ. These are properly called anecdotal accounts. But we also hear from various physicians around the country and world who claim to be astonished at HCQ’s therapeutic efficacy on groups of patients. This link gives another strong indication of how physicians feel about HCQ at this point. These are not from RCTs, but they constitute clinical evidence, not mere “anecdotes”.

By virtue of state and federal right-to-try laws, terminally ill patients can choose to take medications that are unapproved by regulators. Beyond that, FDA approval of HCQ specifically for treating coronavirus was unnecessary because the drug was already legal to prescribe to cover patients as an “off-label” use. That’s true of all drugs approved by the FDA: they can be prescribed legally for off-label uses. When regulators like Dr. Fauci, and even practicing physicians like Dr. Jeffrey Singer (linked below) claim that the FDA hasn’t approved HCQ specifically for treating Covid, it is a technicality: the FDA can certainly “approve” it for that specific use, but it’s already legal to prescribe!

While it won’t end the silly argument, which is obviously grounded in other motives, Dr. Singer brings us to the only reasonable position: treatment of Covid with HCQ is between the patient and their doctor.

 

 

Left’s Pandemic Response: Politics As Usual

17 Tuesday Mar 2020

Posted by in Health Care, Pandemic, Regulation

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The Left asserts that President Trump dismissed and dismantled the nation’s Pandemic Response Team. That’s bullshit. So is the claim that the CDC was defunded. The news media and certain pundits have helped to feed this narrative. Or, as Glenn Reynolds calls those pundits, “Democrat operatives with bylines”.

First of all, the team in question was not at the CDC, a fact that hasn’t always been clear from the commentary on this issue. It was a team of White House overseers at the National Security Council’s “Directorate for Global Health Security and Biodefense”. What happened was this: the senior director of that team resigned after John Bolton was appointed to head the NSC. Bolton might have wanted him out, but what we know is the director resigned. Subsequently, that team was folded into another directorate as part of an long-overdue consolidation. Health experts from the team remain on the NSC staff today. Yet Sen. Sherrod Brown (D-OH)—and many others since—had the temerity to charge that Trump had fired “the entire Whilte House pandemic team”. Well, at least he didn’t imply that it was the CDC.

Tim Morrison wrote the following in the Washington Post yesterday:

“Because I led the very directorate assigned that mission, the counterproliferation and biodefense office, for a year and then handed it off to another official who still holds the post, I know the charge is specious. …

When I joined the National Security Council staff in 2018, I inherited a strong and skilled staff in the counterproliferation and biodefense directorate. This team of national experts together drafted the National Biodefense Strategy of 2018 and an accompanying national security presidential memorandum to implement it; an executive order to modernize influenza vaccines; and coordinated the United States’ response to the Ebola epidemic in Congo, which was ultimately defeated in 2020.”

This assessment at Brietbart.com quotes former senior NSC official Richard Goldberg:

“Weird. A year later I was inside the NSC working with talented global health/biodefense professionals who coordinated an incredibly effective response to Ebola. They’re still there. Working hard. On .”

It’s true that Bolton sought to eliminate red tape, duplication, and bureaucracy within the NSC, and that was wholly justified. According to Morrison, the NSC staff quadrupled from the 1990s through the second Obama term. Pandemics are supposed to be the CDC’s purview, but the proliferation of administrative layers is what happens as government grows uncontrollably. Leslie Eastman at Legal Insurrection questions whether the U.S. needs a permanent “Pandemic Response Team” in the White House. She quotes GOP Chairwoman Ronna McDaniel:

“JAN 7: CDC established a coronavirus incident management system, two days before China announced the outbreak. … Pelosi began Week 3 of withholding her sham impeachment articles. 

JAN 21: The CDC activated its emergency operations center to provide ongoing support to confront coronavirus. …What were Congressional Democrats focused on? Writing their opening arguments for their bogus impeachment trial.”

Well, bully for the CDC. As for “defunding the CDC”, the facts are this: the proposed budget submitted to Congress by the Trump Administration in February, but never passed, did indeed include cuts to the CDC’s budget, which has grown over the years as it expanded its mission from fighting infectious diseases to matters like obesity, racism, and questions of social justice. The cuts proposed by Trump, however, were primarily to state grants. Actually, the proposal called for increased CDC staffing, and it funded all programs related to infectious diseases. But no matter, because that proposal is unlikely to become part of any appropriations bill that would pass Congress.

True to form, the Left plays politics in the middle of a national crisis. When the Trump Administration told airlines that it was considering banning flights from China in late January, it was called racist. Now, of course, he hasn’t done enough. A huge irony, however, is that Trump’s biggest mistake was in trusting the FDA and the CDC’s authority to develop and regulate testing for the coronavirus. They botched it. In a classic case of over-regulation, they prohibited hospitals and labs from conducting tests developed privately or by academic researchers, insisting that everyone wait for the “approved” test to be distributed. Then, the test they released in early February was flawed, costing additional weeks before testing was available.

 

Covid-19: Killing It With Sunshine, Fresh Air

14 Saturday Mar 2020

Posted by in Health Care, Pandemic

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Update: also see “Don’t Be Cowed: Shelter, But Get Outside”

Patients with viral and bacterial infections seem to respond better if exposed to sunshine and fresh air. In fact, anyone hoping to keep infections at bay would do well to get outside in the sun for a while every day. A friend’s post alerted me to this fascinating article in Medium.com: “Coronavirus and the Sun: a Lesson from the 1918 Influenza Pandemic“, by Richard Hobday. It is well-sourced, though the references aren’t hyperlinked. Here’s the main point:

“... records from the 1918 pandemic suggest one technique for dealing with influenza — little-known today — was effective. … Put simply, medics found that severely ill flu patients nursed outdoors recovered better than those treated indoors. A combination of fresh air and sunlight seems to have prevented deaths among patients; and infections among medical staff. There is scientific support for this. Research shows that outdoor air is a natural disinfectant. Fresh air can kill the flu virus and other harmful germs. Equally, sunlight is germicidal and there is now evidence it can kill the flu virus.

On the last assertion, see here. Viruses always ebb as the weather warms in the spring. Light conditions improve, which might be more important than temperature: UV light is thought to kill germs of many kinds. Moreover, Vitamin D is generally protective against infections, and a deficiency is thought to increase Covid-19 risk.

Hobday goes on to describe the Open Air Factor, which probably is related to the presence of ozone, but maybe other curatives:

“Doctors who had first-hand experience of open-air therapy at the hospital in Boston were convinced the regimen was effective. It was adopted elsewhere. If one report is correct, it reduced deaths among hospital patients from 40 per cent to about 13 per cent. …

Patients treated outdoors were less likely to be exposed to the infectious germs that are often present in conventional hospital wards. They were breathing clean air in what must have been a largely sterile environment. We know this because, in the 1960s, Ministry of Defence scientists proved that fresh air is a natural disinfectant. Something in it, which they called the Open Air Factor, is far more harmful to airborne bacteria — and the influenza virus — than indoor air. They couldn’t identify exactly what the Open Air Factor is. But they found it was effective both at night and during the daytime. 

I’m not sure they were able to control for the relative absence of germs in fresh air, as opposed to the presence of something beneficial, but it’s certainly intriguing.

So whether you’re still on the “office team” or otherwise on the job, try to get outside! Whether you’re in a Covid-19 self-quarantine or worried about catching it, get outside if you can. Get some sun and fresh air, especially after a thunderstorm, when the air is rich with ozone. But drink plenty of fluids and don’t get burned! I’ll be hanging out in my back yard.

Single-Payer: Queue Up and Die Already

19 Sunday Jan 2020

Posted by in Health Care, Health Insurance

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I constantly hear this sort of naive remark about health care in “other major countries”, and while Chris Pope’s rejoinder below should chasten the ignorant, they won’t listen (emphasis is mine):

“[Bernie] Sanders recently argued that ‘our idea is to do what every other major country on earth is doing,’ but this claim is … fictitious. In fact, there is not a single country in the world that offers comprehensive coverage with an unlimited choice of providers, fully paid for by taxpayers, without insurer gatekeeping, service rationing, or out-of-pocket payments. In reality, there is a direct trade-off between ease of access to providers and the cost borne by individuals in out-of-pocket expenses.”

Pope’s statement pretty much strips bare the fiction of “universal” coverage, a concept too loosely defined to be of any real use except as a rhetorical device. It also highlights the non-monetary costs inflicted on consumers by non-price rationing of care. The presumption that government must provide universal health care coverage and that all other developed countries actually have that arrangement is incorrect.

Pope has another article at the Manhattan Institute site, written late last year, on the lessons we can learn on health care from experience abroad under various payer systems. This offers a more detailed comparison of the structure of the U.S. payment system versus seven other countries, including Canada, the U.K., Australia, and Germany. Single-payer tends to be the “gold standard” for the Left, but the only systems that “approximate” single-payer are in Canada and the U.K. Here is one blurb about Canada:

“Canadians have easy access to general practitioners, but getting an appointment to see a specialist is more difficult than in all the other nations studied in this report. The Canadian medical system provides the least hospital care, delivers consistently fewer outpatient procedures, and provides much less access to modern diagnostic technology.

Canadians also have limited access to drugs, according to Pope. And out-of-pocket (OOP) spending is about the same as in the U.S. At the first link above, Pope says:

“Canadians spend less on health care than Americans mostly because they are not allowed to use as much — not because they are getting a better deal. … Waiting lists are generally seen as the single-payer budgeter’s friend, as some patients will return to health by themselves, others will be discouraged from seeking treatment, and a large proportion of the most expensive cases will die before any money is due to be spent on them.”

Pope says this about the U.K. at the second link:

“U.K. hospitals often lack cutting-edge technology, and mortality after major emergency hospitalizations compares poorly with that of other nations in this report. Access to specialists is very limited, and the system falls well short of most other nations in the delivery of outpatient surgery.” 

Waiting times in the U.K. tend to be long, but in exchange for all these shortcomings in care, at least OOP costs are low. Relative to other payment systems, single payer seems to be the worst in several respects.

The other systems described by Pope are:

  • “dual payer” in Australia and France, with public entitlements and the choice of some private or supplemental coverage;
  • “competing payer” in Switzerland, Germany, and the Netherlands, whereby subsidies can be used to purchase coverage from private plans (and in Germany some “quasi-public” plans; and
  • “segmented payer” in the U.S., with two public plans for different segments of the population (Medicare for the elderly and Medicaid for the non-elderly poor), employer-sponsored coverage primarily from larger employers, individually-purchased private coverage, and subsidies to providers for “uncompensated care” for the uninsured.

Here is what Pope says about the various “multi-payer” systems:

“Dual-payer and competitive-payer systems blend into each other, according to the extent of the public entitlement in dual-payer countries …

… limitations in access to care are closely tied to the share of the population enrolled in private insurance—with those in Britain and Canada greatly limited, Australians facing moderate restrictions, and those in the other countries studied being more able to get care when they need it. 

The competing-payer model ideally gives insurers the freedom and responsibility to procure health-care services in a way that attracts people to their plans by offering them the best benefits and the lowest medical costs. While all competing-payer systems fall short of this ideal, in practice they consistently offer good access to high-quality medical care with good insurance protection. The competing-payer model is, therefore, best understood as an objective that is sought rather than yet realized—and countries including Germany, the Netherlands, France, and the U.S., which have experienced the most significant health-care reform over recent years, are each moving toward it.”

The U.S. has very high health care costs as a percent of GDP, but OOP costs are roughly in line with the others (except the Swiss, who face very high OOP costs). The U.S. is wealthier than the other countries reviewed by Pope, so a large part of the cost gap can be attributed to demand for health care as a luxury good, especially late in life. Insured U.S. consumers certainly have access to unrivaled technology and high-quality care with minimal delays.

Several countries, including the U.S., are plagued by a lack of competition among hospitals and other providers. Government regulations, hospital subsidies, and pricing rules are at the root of this problem. Third-party payments separate consumers from the pricing consequences of their health-care decisions, which tends to drive up costs. If that weren’t enough, the tax deductibility of employer-paid insurance premiums in the U.S. is an subsidy ironically granted to those best-able to afford coverage, which ultimately heightens demand and inflates prices.

Notably, unlike other countries, there is no longer an individual mandate in the U.S. or any penalty for being uninsured, other than the potential difficulty in qualifying for coverage with pre-existing conditions. Consumers who lack employer-sponsored or individual coverage, but have incomes too high to qualify for Medicaid or premium subsidies, fall into a gap that has been the bane of would-be reformers. There are a few options for an immediate solution: 1) force them to get insured with another go at an individual mandate; 2) offer public subsidies to a broader class; 3) let them rely on emergency-room services (which cannot turn them away) or other forms of uncompensated care; 4) allow them to purchase cheap temporary and/or catastrophic coverage at their own expense; 5) allow portability of coverage for job losers. Recently, the path of least political resistance seems to have been a combination of 3, 4, and 5. But again, the deficient option preferred by many on the Left: single-payer. Again, from Pope:

“Single-payer systems share the common feature of limiting access to care according to what can be raised in taxes. Government revenues consistently lag the growth in demand for medical services resulting from increased affluence, longevity, and technological capacity. As a result, single-payer systems deliver consistently lower quality and access to high-cost specialty care or surgical procedures without reducing overall out-of-pocket costs. Across the countries in this paper, limitations in access to care are closely tied to the share of the population enrolled in private insurance—with those in Britain and Canada greatly limited…”