Introduction by Croakey: After more than two years of living with COVID-19, research is now revealing that some changes forced on society by pandemic control measures may have actually saved lives. It seems counter-intuitive but think of the reduction in influenza pneumonia deaths and lower air pollution during lockdowns, and the reduced use of unnecessary tests, diagnoses and treatments.
Researchers from the University of Sydney, Wiser Healthcare Research Collaboration and the University of Wollongong explain in the article below that all healthcare services have potential harms as well as benefits and we can use the ‘natural experiment’ of the pandemic to identify where a reduction in a health service may have been helpful, not harmful. The article was originally published in Public Health Research & Practice.
Katy Bell, Fiona Stanaway, Kirsten McCaffery, Michael Shirley and Stacy Carter write:
The year 2020 saw over 500,000 more deaths than expected in the United States alone and increases in fatalities across the globe. These global excess deaths can be grouped into three categories: known coronavirus disease 2019 (COVID-19) deaths, missed COVID-19 fatalities and deaths from other causes.
The most apparent cause of excess deaths are those in people diagnosed with COVID-19. However, there were many more excess deaths in 2020 than those directly attributed to COVID-19. A less obvious cause of excess deaths is missed and unreported cases of COVID-19 due to undertesting and underdiagnosis.
Even in Australia, excess deaths attributed to pneumonia in late March and April 2020 suggest some missed COVID-19 deaths in the early stages of the pandemic, when access to testing was more limited. The least apparent cause of excess deaths is the non-COVID-19 deaths caused by the indirect effects of the pandemic, including the massive disruption to healthcare systems.
While Australia has fared better than most countries in terms of deaths from COVID-19 and other causes, we must recognise this toll and take it seriously. Globally, there continues to be great suffering experienced by frontline healthcare workers and everyone watching the pandemic unfold, and their lives change.
Of concern, we have also seen the pandemic exacerbate health inequalities due to social determinants of health, with the mortality burden (both directly and indirectly caused by SARS-CoV-2) falling disproportionately on the least well-off and the most culturally and linguistically marginalised, including people of colour.
We need to acknowledge those deaths and do better to fight against structural racism and injustice by addressing the root causes of longstanding, pervasive health inequities.
Has the pandemic saved lives?
But within the overall global picture of tragedy, there are some glimmers of hope. Some changes forced on society by the pandemic may have saved lives.
The deaths averted during the pandemic have resulted from some obvious and less obvious factors. Most apparent is the fewer deaths from influenza pneumonia, and other non-SARS-CoV-2 respiratory pathogens, which is most likely a result of pandemic control measures. Less obvious is the potential deaths saved through air pollution reductions due to lockdowns imposed by many countries, with modelling suggesting >300,000 deaths were prevented in China and Europe alone.
And the least obvious and most counterintuitive is the possibility that lives have been saved through reduced use of healthcare that would otherwise have caused harm. These deaths may have been avoided because some people have avoided unnecessary tests, diagnoses and treatments, and the risk of harm from those interventions which outweighed the potential for benefit.
The absolute benefit delivered by healthcare commonly increases with the severity of disease or baseline risk of the individuals tested, diagnosed, and treated (e.g. higher absolute benefits with blood pressure- and cholesterol-lowering treatments for individuals with higher baseline risk compared to those with lower baseline risk). On the other hand, the probability of harm may be more or less constant across differing baseline risks. Therefore, some low risk patients diagnosed with earlier or milder disease may be more likely to be harmed than to benefit from diagnosis and treatment.
Within the general population, only a small number of people (those with severe disease or high baseline risk) may benefit from the provision of tests, diagnoses and treatment. In contrast, many may be harmed if these are provided indiscriminately. For example, within a screening population (people without symptoms and not known to be at increased risk), only a small proportion of people will have a cancer with a high lethality risk where early detection may be beneficial. In contrast, very large numbers of people are at risk of being diagnosed and treated for preneoplastic lesions or low risk cancers.
On the other hand, within a cancer surveillance population (people undergoing monitoring for new or recurrent cancer after treatment of a first primary cancer), a larger proportion of people may have a high risk cancer and benefit from early detection.
Potential benefits of healthcare disruptions
Much research into the health impacts of healthcare disruptions due to the COVID-19 pandemic has understandably focused on the likely negative consequences of missed care and possible solutions to mitigate these. This has primarily been in the form of modelling studies forecasting the potential impacts of reduced healthcare services on future clinical outcomes such as mortality.
However, we need to recognise that all healthcare services (including tests and diagnoses and treatments) have potential harms and benefits and include both types of clinical impacts in such modelling studies. For example, although we might expect that suspension of cancer screening such as mammography screening and a reduction in Prostate-Specific Antigen (PSA) testing to screen for prostate cancer could result in decreased benefits from earlier detection and treatment of cancers, there may also be decreased harm.
Cancer screening tests may increase mortality risk through a number of pathways.This includes consequences of the invasive test(s) needed to confirm diagnosis after a positive screening test (e.g. sepsis after prostate biopsies); psychological implications of the disease label (e.g. increased rates of myocardial infarction and suicide after prostate cancer diagnosis); consequences of treatment of overdiagnosed cancers (e.g. deaths due to surgical complications and radiation effects after treatment for breast cancer). Future modelling studies could be informed by empirical evidence of both benefits and harms of healthcare services (or benefits and harms of healthcare service disruptions) on overall mortality and morbidity and disease-specific outcomes.
In Australia, we estimated that prior to the COVID-19 pandemic, cancer overdiagnosis – the most serious harm from cancer screening – resulted in approximately 4,000 Australian women overdiagnosed with breast cancer each year and more than 8,500 Australian men overdiagnosed with prostate cancer.
The pandemic-related reduction in the number of healthy people undergoing these, and other medical tests, may have meant less overdiagnosis and overtreatment of cancers and other conditions since 2020. The size of any decrease in cancer diagnoses is likely to vary globally across geographical regions according to the disruption in screening services. It will be quantifiable once 2020 and subsequent data are available.
Observed decreases will reflect both missed cancers where early detection would have benefited and reduced overdiagnosis where early detection would have harmed, and disentangling the two may be difficult. Surrogate outcomes such as biological markers of disease severity/risk among diagnoses may indicate the extent to which the spectrum of disease shifted in 2020 and since, with recent findings of proportionately more significant reductions in healthcare use among those with less severe disease supporting the existence of such a spectrum shift.
Observed decreased cancer diagnoses in age groups where screening is not recommended based on available evidence, but was common in pre-pandemic times, may also provide indirect evidence of decreased overdiagnosis (e.g. prostate cancer screening in men <55 years or >69 years; breast cancer screening in women <40 years or >74 years).
Learnings from this ‘natural experiment’
In some cases, it may be possible to identify reductions in healthcare, particularly low-value care, that have not been harmful overall or have even been beneficial, at least for short-term health outcomes. Such findings should not be overinterpreted, and long-term impacts need to be considered as well as short-term ones.
But by learning as much as possible about the positives as well as the negatives from ‘natural experiments’ during the pandemic, we can aim for a post-pandemic ‘new normal’ where healthcare services deliver maximum benefit for the health of populations and individuals, and minimum risk of harm.
References are available in the original article published in the journal, Public Health Research & Practice. More author details are also there.
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