Report Highlights Public Health Impact of Serious Harms From Diagnostic Error in U.S.

Link:https://www.hopkinsmedicine.org/news/newsroom/news-releases/report-highlights-public-health-impact-of-serious-harms-from-diagnostic-error-in-us#:~:text=Results%20of%20the%20new%20analysis,of%20the%20public%20health%20problem.

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Improving diagnosis in health care is a moral, professional and public health imperative, according to the U.S. National Academy of Medicine. However, little is known about the full scope of harms related to medical misdiagnosis — current estimates range widely. Using novel methods, a team from the Johns Hopkins Armstrong Institute Center for Diagnostic Excellence and partners from the Risk Management Foundation of the Harvard Medical Institutions sought to derive what is believed to be the first rigorous national estimate of permanent disability and death from diagnostic error.  

The original research article was published July 17 by BMJ Quality & Safety. Results of the new analysis of national data found that across all clinical settings, including hospital and clinic-based care, an estimated 795,000 Americans die or are permanently disabled by diagnostic error each year, confirming the pressing nature of the public health problem.  

….

To identify their findings, researchers multiplied national measures of disease incidence by the disease-specific proportion of patients with that illness who experience errors or harms. Researchers repeated this method for the 15 diseases causing the most harms, then extrapolated to the grand total across all dangerous diseases. To assess the accuracy of the final estimates, the study’s authors ran the analyses under different sets of assumptions to measure the impact of methodological choices and then tested the validity of findings by comparing them with independent data sources and expert review. The resulting national estimate of 371,000 deaths and 424,000 permanent disabilities reflects serious harms widely across care settings, and it matches data produced from multiple prior studies that focused on diagnostic errors in ambulatory clinics and emergency departments and during inpatient care.  

Vascular events, infections and cancers, dubbed the Big Three, account for 75% of the serious harms. The study found that 15 diseases account for 50.7% of the total serious harms. Five conditions causing the most frequent serious harms account for 38.7% of total serious harms: stroke, sepsis, pneumonia, venous thromboembolism and lung cancer. The overall average error rate across diseases was estimated at 11.1%, but the rate ranges widely from 1.5% for heart attack to 62% for spinal abscess. The top cause of serious harm from misdiagnosis was stroke, which was found to be missed in 17.5% of cases.  

Author(s):  David Newman-Toker 

Publication Date: 17 July 2023

Publication Site: Johns Hopkins, press release

A LITERATURE REVIEW AND META-ANALYSIS
OF THE EFFECTS OF LOCKDOWNS ON
COVID-19 MORTALITY

Link: https://sites.krieger.jhu.edu/iae/files/2022/01/A-Literature-Review-and-Meta-Analysis-of-the-Effects-of-Lockdowns-on-COVID-19-Mortality.pdf

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Abstract:

This systematic review and meta-analysis are designed to determine whether there is empirical
evidence to support the belief that “lockdowns” reduce COVID-19 mortality. Lockdowns are
defined as the imposition of at least one compulsory, non-pharmaceutical intervention (NPI).
NPIs are any government mandate that directly restrict peoples’ possibilities, such as policies that
limit internal movement, close schools and businesses, and ban international travel. This study
employed a systematic search and screening procedure in which 18,590 studies are identified
that could potentially address the belief posed. After three levels of screening, 34 studies
ultimately qualified. Of those 34 eligible studies, 24 qualified for inclusion in the meta-analysis.
They were separated into three groups: lockdown stringency index studies, shelter-in-placeorder (SIPO) studies, and specific NPI studies. An analysis of each of these three groups support
the conclusion that lockdowns have had little to no effect on COVID-19 mortality. More
specifically, stringency index studies find that lockdowns in Europe and the United States only
reduced COVID-19 mortality by 0.2% on average. SIPOs were also ineffective, only reducing
COVID-19 mortality by 2.9% on average. Specific NPI studies also find no broad-based evidence
of noticeable effects on COVID-19 mortality.
While this meta-analysis concludes that lockdowns have had little to no public health effects,
they have imposed enormous economic and social costs where they have been adopted. In
consequence, lockdown policies are ill-founded and should be rejected as a pandemic policy
instrument.

Author(s): Jonas Herby, Lars Jonung, and Steve H. Hanke

Publication Date: January 2022

Publication Site: Johns Hopkins Institute for Applied Economics

Covid: Peru more than doubles death toll after review

Link: https://www.bbc.com/news/world-latin-america-57307861

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Peru has more than doubled its Covid death toll following a review, making it the country with the world’s highest death rate per capita, according to Johns Hopkins University data.

The official death toll is now more than 180,000, up from 69,342, in a country of about 33 million people.

Prime Minister Violeta Bermudez said the number was increased on the advice of Peruvian and international experts.

This was in line with so-called excess deaths figures.

Publication Date: 1 June 2021

Publication Site: BBC News

New U.S. Cases Ease, but Deaths Tick Higher

Link: https://www.wsj.com/livecoverage/covid-2021-03-03/card/18LFgjsjQkJOdGZpqjYK

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Excerpt:

There were 55,071 new cases reported in the U.S. for Tuesday, according to the latest data compiled by Johns Hopkins University. That was down from 58,810 a day earlier, and 71,436 a week earlier.

Reported U.S. deaths related to Covid-19 increased Tuesday to 1,924, from 1,566 a day earlier, according to the latest Johns Hopkins data.

While both new cases and deaths are down from January’s highs, deaths have begun to trend upward in the past week. The seven-day moving average of daily reported deaths, which smooths out irregularities in the data, was 2,046 as of Monday, according to a Wall Street Journal analysis of Johns Hopkins data. The 14-day average was 1,984. When the seven-day average is higher than the 14-day average, as it has been since last Wednesday, it indicates deaths are on the rise.

Author(s): Adam Martin

Publication Date: 3 March 2021

Publication Site: Wall Street Journal