The greatest cover-up

 COVID-19. The Greatest Cover-Up in History—From Wuhan to the White House

Illness narratives

The Illness Narratives. Suffering, Healing, And The Human Condition

Behavioral science

 Behavioral Science and Public Policy

Health indicators

 Leading Health Indicators 2030.Advancing Health, Equity, and Well-Being

Cyberneuroethics

 CYBORG MIND. What Brain–Computer and Mind–Cyberspace Interfaces Mean for Cyberneuroethics

The invention of medicine

 The Invention of Medicine. From Homer to Hippocrates

On Max Weber

 Charisma and Disenchantment: The Vocation Lectures

Nudging government

 Beyond Public Administration. Contemplating and Nudging Government-in-Context

The profits of opioid addiction epidemic

 American Overdose. The Opioid Tragedy in Three Acts

Formerly in this blog you may have read about opioid epidemics. In the US is a great social and public health tragedy. If you want some details about fentanil consumption in Catalonia, check this report (p.153-155).

In the book America overdose, you'll find an exceelent description about what has happened in US in practical terms. Wirtten by a journalist from The guardian, it may help any public health official of any country to understand the huge danger we have to confront. The starting point for McGreal’s deeply reported investigation is the miners promised that opioid painkillers would restore their wrecked bodies, but who became targets of “drug dealers in white coats.” And says (in chapter 21):

It would be a mistake to conclude that responsibility for the opioid epidemic lies only with the greed of the drug companies or that it is shared solely with corrupt doctors and pharmacists who profited from mass prescribing. They were facilitated by politicians, regulators, and a broader medical industry with an agenda or that chose not to see. The opioid makers were helped in that because, for many years, the primary victims were those it was easy to look away from—the “dumbass hillbillies,” as Willis Duncan put it.

Purdue may have targeted some of the poorest parts of Appalachia because that’s where the data said opioids were already being prescribed. But it proved a convenience that these regions were among the most marginalized in the country and the easiest to stigmatize as the drug makers pursued the disreputable tactic of blaming the victims for their addiction.

Like the nineteenth-century opium dealers, the painkiller manufacturers used the power of the huge profits of addiction to keep the faucets of mass prescribing open. The quarter of a billion dollars a year the drug industry spends on lobbying bought the complicity of Congress and organizations such as the American Medical Association through silence and distraction. The din of money drowned out the warnings sounded by Dr. Art Van Zee about the devastation already wrought to his Virginia community in the late 1990s and the research by doctors such as Jane Ballantyne that should have prompted critical questioning of the claims made for opioids. Congress and the FDA were told loudly and clearly that a national disaster was unfolding more than a decade before the CDC’s Tom Frieden called it an epidemic.

Drawing on the tobacco companies’ playbook, opioid manufacturers obscured the evidence of the dangers of their products even when it was staring the industry in the face. Instead, the drug makers and their front organizations sought to discredit those who advocated caution.

 

Five levels of care integration

 The importance of understanding and measuring health system structural, functional, and clinical integration

A helpful framework on integrated care from the Health Services Research article:

The framework focuses on how systems are structured and governed, what people who work in the system believe and how they behave, and activities intended to integrate patient care into a single coordinated process within the system. We chose this model because, while there are many different ways to characterize health systems, we wanted to focus on those characteristics that might prove to be meaningful with regard to performance differences.

Hypothetical relationships are depicted in the model using arrows that move from left to right. The five types of integration depicted in the model (structural, functional, normative, interpersonal and process integration) are hypothesized to effect intermediate and ultimate outcomes. From Singer SJ, Kerrissey M, Friedberg M, Phillips R. A Comprehensive Theory of Integration. Med Care Res Rev. 2020;77(2):204, Sage Publications, Inc. 

• Structural integration (physical, operational, financial, or legal ties among operating units within a system)
• Functional integration (formal, written policies, and protocols for activities that coordinate and support accountability and decision making among operating units)
• Process (or clinical) integration (actions or activities intended to integrate patient care across people, functions, activities, and operating units within the system). In our discussion, we refer to this as clinical integration.

Structural and functional integration are under the direct control of system executives. Our intent was to understand the kinds of strategic decisions they were making, why they made them, and how they saw their decisions affecting their goals for their systems. Understanding the organizations that make up the systems and the extent to which systems are structurally and functionally integrated is a vital starting point for understanding whether process/clinical integration is happening within systems, how it is happening, or indeed whether it is even possible.

Two additional types of integration—normative and interpersonal. 

Normative integration refers to sharing a common culture; interpersonal integration refers to collaboration or teamwork.

Economics and epidemiology

An Economist's Guide to Epidemiology Models of Infectious Disease 

Bossert et al provide some useful information on the structure and use of epidemiology models of disease transmission, with an emphasis on the susceptible/infected/recovered (SIR) model. And they discuss high-profile forecasts of cases and deaths that have been based on these models, what went wrong with the early forecasts, and how they have adapted to the current COVID pandemic. 

Understanding the process by which these models’ predictions and insights can be accessed by policymakers has also gained importance. The normal process of writing, vetting, and publishing scientific and economic research is being stretched to its limits given the urgency of the pandemic. Direct and wide dissemination can work for certain types of knowledge: detailed predictions from empirical models lend themselves to the now ubiquitous COVID “dashboards” that make those predictions available to policy-makers and others with just a click or two. There is no reason to believe that the models which have the best designed websites and interfaces are the ones producing the most careful and accurate predictions, though. Conveying more subtle insights, such as how government policies might interact with endogenous social distancing, seems substantially more difficult but no less important. One would hope that robust lines of communication and established respectful relationships between experts and policy-makers could facilitate such dialogues.

 

Climate and health

 Estimating The Costs Of Inaction And The Economic Benefits Of Addressing The Health Harms Of Climate Change

From Health Affairs issue on Climate and Health, first of all:

To accurately describe the health-related costs of climate change, it is important to distinguish between key terms. Climate-sensitive exposures (such as ozone smog air pollution, extreme heat, and extreme precipitation) and health outcomes include those with demonstrated responses to one or more meteorological variables or seasonal patterns.6,7 In recent years, statistical analyses have enabled detection and attribution of the influence of human-caused climate change on extreme weather and other climate-related exposures.8 These climate change–related impacts on the environment include incremental contributions to the frequency and magnitude of extreme rainfall during hurricanes8,9 and increased temperatures during heat waves,10 among others. It is not yet possible to apply analogous methods to directly quantify the attributable portion of climate-sensitive health outcomes to the incremental effects of climate change, as preexisting medical conditions, health vulnerabilities, and multiple exposures are among the many health determinants and causal factors involved. There is currently a knowledge gap that must be addressed for more complete understanding of climate change–related exposure-response relationships.´

Therefore, 

 Expanded valuation analyses of the costs of climate-sensitive health outcomes are urgently needed to inform public policy. The findings from such studies can be linked to provide a sense of the overall scope of health costs from climate change in communities, cities, states, regions, and countries.

At present, it is difficult to characterize the costs of health harms linked to climate-sensitive exposures in the US. Given the current inability to comprehensively track recent damage, there is limited understanding of the scope of projected future climate-sensitive health risks and costs. 

So, there is not any estimate of inaction so far. 

Profiling complex patients

 Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles

Instead of predictive modeling using costs, this is the right approach from a clinical point of view:

This cohort study analyzed the most medically complex patients within Kaiser Permanente Northern California, a large integrated health care delivery system, based on comorbidity score, prior emergency department admissions, and predicted likelihood of hospitalization, from July 18, 2018, to July 15, 2019. From a starting point of over 5000 clinical variables, we used both clinical judgment and analytic methods to reduce to the 97 most informative covariates. Patients were then grouped using 2 methods (latent class analysis, generalized low-rank models, with k-means clustering). Results were interpreted by a panel of clinical stakeholders to define clinically meaningful patient profiles.

And the figures below reflect these results.

Great article.

Figure 1.  Seven Patient Profiles Derived From Latent Class Analysis

 

Figure 2.  Comparison of k-Means Clustering With Latent Class Analysis (LCA)

Table 1.  Baseline and 1-Year Follow-up Characteristics of the Overall Population and by Patient Profile

Table 2.  Key Defining Features and Suggested Management Strategies for the 7 Clinical Profiles of Medically Complex Patients

How plagues end

Apollo's Arrow. The Profound and Enduring Impact of Coronavirus on the Way We Live

From the book:

After its dramatic initial appearance, SARS-2 will ultimately become endemic; it will regularly circulate among us at some low, steady level. This is connected to the second kind of end, which we have already considered: herd immunity. Here, the pathogen is still around, but it has a much more difficult time reestablishing itself. This resembles a well-vaccinated population for any infectious disease; there are only occasional, small outbreaks among nonimmune people.

By 2022 or so, we will reach this outcome naturally or via vaccination. Of course, if we do rapidly develop and distribute a safe and effective vaccine, we could reach herd immunity with fewer deaths. Based on the fundamental R0 of SARS-2, as we saw in chapter 2, up to an estimated 60 to 67 percent of the population could be affected (or roughly two hundred million people in the United States). The necessary percentage could be lower, closer to 40 to 50 percent, given that social network structure means that different people spread the virus to different extents (as we also saw in chapter 2); or it could be higher, if the epidemic moves extremely fast and we overshoot the level required for herd immunity. Whatever the exact percentage, as a pathogen spreads, some people will die and others will recover and become immune, so eventually the virus will run out of places to go. This is the ordinary, natural way that, biologically speaking, epidemics end.

This is what we mean when we say that a pathogen is under control. But sometimes, plagues are so devastating that a society never recovers. It’s very important to emphasize that, as bad as COVID-19 is, it’s not remotely as bad as epidemics of bubonic plague, cholera, or smallpox that have killed much larger fractions of the population and that have had much larger and longer-lasting effects. Those types of plagues are even associated with the iconography of the Four Horsemen of the Apocalypse, Pestilence riding side by side with War, Famine, and Death. Those epidemics vindicated the adage that “too few of the living were left to bury the dead.”

N. Christakis says at the begining of the book 

The god Apollo, for example, was both a healer and the bringer of disease. During the Trojan War, with his silver bow and quiver of arrows, he rained a plague down on the Greeks to punish them for kidnapping and enslaving Chryseis, the daughter of one of his favored priests.

I found myself thinking again about Apollo and his vengeance as I contemplated our own twenty-first-century barrage more than three thousand years after the events described in The Iliad. It seemed to me that the novel coronavirus was a threat that was both wholly new and deeply ancient. This catastrophe called on us to confront our adversary in a modern way while also relying on wisdom from the past.

Excerpts from the last chapter, How plagues end: 

The pathogens evolve to respond to us, but we, at a slower pace, also evolve to respond to them. Infectious diseases have been a part of our evolutionary history for so long that they have left a mark on our genes. For instance, humans have evolved genetic changes that have proven useful in coping with malaria beginning over one hundred thousand years ago, tuberculosis over nine thousand years ago, cholera and bubonic plague over six thousand years ago, and smallpox over three thousand years ago.36

Infectious pathogens (even if nonepidemic) have arguably been a crucial selective pressure throughout the evolution of our species.37 The primary killers of human beings across evolutionary time are other human beings. Humans do not have any natural predators that substantially affect survival.38 Except for our microscopic enemies.

The SARS-2 virus is a lot less lethal to people of reproductive age and can be combated with the lifesaving tools of modern medicine, so the impact on human evolution is surely going to be minimal. But, at least in theory, another way epidemics end is that hosts evolve to be resistant. And in fact, we may already have naturally occurring genetic variation in our species that affects the severity of COVID-19 in different populations, which would lay the groundwork for such evolution. Over generations, this can result in changes to the genetic makeup of the afflicted populations.

 This social construction of COVID-19 means that the end of the pandemic can also be socially defined. In other words, plagues can end when everyone believes they are over or when everyone is simply willing to tolerate more risk and live in a new way. If everyone willingly risks infection and resumes a semblance of normal life (or, implausibly, if everyone decides to employ physical distancing forever), then the epidemic can be said to have ended, even if the virus is still circulating. We got a glimpse of this phenomenon as well in the summer of 2020 as different states, tired of the lockdowns, acted as if the epidemic were over, even though, biologically speaking, it was not. It was wholly understandable that everyone was eager to leave the epidemic behind as quickly as possible. But the epidemiological reality did not submit to our desires. The pandemic was still claiming roughly a thousand lives per day, although Americans seemed inured to it. Many people, and not just self-interested politicians, seemed to believe the SARS-2 epidemic could end by fiat.

Last paragraph:

 Microbes have shaped our evolutionary trajectory since the origin of our species. Epidemics have done so for many thousands of years. Like the myth of Apollo’s arrows, they have been a part of our story all along. We have outlived them before, using the biological and social tools at our disposal. Life will return to normal. Plagues always end. And, like plagues, hope is an enduring part of the human condition.

A must read. This is my preferred book reference on current pandemic.

 

Figure 16: The mortality impact of COVID-19 in the United States can be quantitatively compared to that of other modern epidemics.