Short answer

Designers should prioritize solutions that mitigate the spread of antimicrobial resistance, from improving sanitation and hygiene in healthcare settings to developing accessible diagnostic technologies and educational tools.

Field: Human Factors
Source: The Lancet (2022)
Method: Systematic analysis using a Bayesian hierarchical modeling framework.
Sample: Data from 471 million individual records or isolates across 204 countries and territories.
Evidence: Strong effect

Antimicrobial resistance (AMR) directly caused 1.27 million deaths and was associated with 4.95 million deaths globally in 2019, making it a leading cause of death worldwide. This human factors research insight is drawn from a 2022 study published in The Lancet. Using Systematic analysis using a bayesian hierarchical modeling framework. with Data from 471 million individual records or isolates across 204 countries and territories., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should prioritize solutions that mitigate the spread of antimicrobial resistance, from improving sanitation and hygiene in healthcare settings to developing accessible diagnostic technologies and educational tools.

Study

Human FactorsHigh ImpactStrong effect

Global antimicrobial resistance significantly increases disease burden and mortality

Antimicrobial resistance (AMR) directly caused 1.27 million deaths and was associated with 4.95 million deaths globally in 2019, making it a leading cause of death worldwide.

The Lancet · 2022

Key Findings

01AMR directly caused 1.27 million deaths globally in 2019.
02AMR was associated with 4.95 million deaths globally in 2019.
03Lower-resourced settings, particularly sub-Saharan Africa and South Asia, experienced the highest burden of AMR.
04Six pathogens (E. coli, S. aureus, K. pneumoniae, S. pneumoniae, A. baumannii, P. aeruginosa) were responsible for 929,000 direct deaths and 3.57 million associated deaths due to resistance.
05Methicillin-resistant S. aureus (MRSA) and fluoroquinolone-resistant E. coli and K. pneumoniae were the most problematic pathogen-drug combinations.

Application

Design takeaway

How to apply

When designing medical devices, ensure ease of sterilization and cleaning. When designing healthcare environments, consider material choices and layouts that minimize pathogen transmission. When designing digital health tools, integrate features that support antibiotic stewardship.

Project actions

01Explore design solutions for better hand hygiene in public spaces.
02Investigate how product design can reduce the need for antibiotics (e.g., better wound care products).
03Design educational tools to teach people about proper antibiotic use.

Method & Evidence

AimTo estimate the global burden of bacterial antimicrobial resistance (AMR) in 2019, including deaths and disability-adjusted life-years (DALYs), by pathogen, drug, and country.

MethodSystematic analysis using a Bayesian hierarchical modeling framework.

ProcedureThe study synthesized data from 471 million individual records or isolates from 204 countries and territories, including systematic literature reviews, hospital systems, surveillance programs, and other data sources, to estimate AMR burden.

SampleData from 471 million individual records or isolates across 204 countries and territories.

ContextGlobal public health and healthcare systems.

Variables

IVPresence/absence of bacterial antimicrobial resistance.

DVNumber of deaths, disability-adjusted life-years (DALYs).

CVYear of study (2019), bacterial pathogens, drug classes, geographical regions (controlled for analysis, but varied in impact).

Strengths & Limitations

Strengths

+Comprehensive global scope, covering 204 countries and territories.
+Large dataset, synthesizing 471 million individual records.
+Detailed breakdown by pathogen, drug, and country, providing granular insights.

Limitations

The study relies on aggregated data and models, which might not fully capture local nuances or specific community challenges.

Reliability & validity

The study's reliability is high due to its systematic approach and large dataset. Validity is strong for global burden estimates, but local validity might vary due to data gaps in certain regions.

Think critically

How might design interventions, beyond medical treatments, contribute to reducing the burden of antimicrobial resistance, particularly in resource-limited settings?

Design Principles

"Proactive design for infection control and responsible resource use."

This widespread resistance means common infections are becoming untreatable, leading to prolonged illness, increased healthcare costs, and higher mortality rates. It undermines modern medicine, making routine procedures and treatments risky due to the threat of untreatable infections.

What This Means for Your Design

Many people are dying because common medicines (antibiotics) no longer work against infections, especially in poorer countries.

How to use in your project

1.When designing an information architecture for a health app, prioritize information on antibiotic stewardship and infection prevention.

Add to My Project

Quick Cite

Paragraph starter

A systematic analysis by Murray et al. (2022) revealed that antimicrobial resistance directly caused 1.27 million deaths globally in 2019, highlighting its significant impact on global health.

Source

The Lancet

Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis

journal · 2022

View source

Questions About This Research

What does the research say about global antimicrobial resistance significantly increases disease burden and mortality?: Designers should prioritize solutions that mitigate the spread of antimicrobial resistance, from improving sanitation and hygiene in healthcare settings to developing accessible diagnostic technologies and educational tools. Evidence: The Lancet (2022).
Why does "Global antimicrobial resistance significantly increases disease burden and mortality" matter for design?: This widespread resistance means common infections are becoming untreatable, leading to prolonged illness, increased healthcare costs, and higher mortality rates. It undermines modern medicine, making routine procedures and treatments risky due to the threat of untreatable infections.
How can designers apply this research?: Designers should prioritize solutions that mitigate the spread of antimicrobial resistance, from improving sanitation and hygiene in healthcare settings to developing accessible diagnostic technologies and educational tools.
What were the main findings?: AMR directly caused 1.27 million deaths globally in 2019.. AMR was associated with 4.95 million deaths globally in 2019.. Lower-resourced settings, particularly sub-Saharan Africa and South Asia, experienced the highest burden of AMR.. Six pathogens (E. coli, S. aureus, K. pneumoniae, S. pneumoniae, A. baumannii, P. aeruginosa) were responsible for 929,000 direct deaths and 3.57 million associated deaths due to resistance.
What research method was used?: Systematic analysis using a Bayesian hierarchical modeling framework. with Data from 471 million individual records or isolates across 204 countries and territories..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2022 journal from The Lancet.
What should I do differently in my next project?: When designing medical devices, ensure ease of sterilization and cleaning. When designing healthcare environments, consider material choices and layouts that minimize pathogen transmission. When designing digital health tools, integrate features that support antibiotic stewardship.
What are the limitations?: Data gaps in many low-income countries, reliance on modeling for some estimates, and potential underestimation of the true burden due to unmeasured factors.