Short answer

When designing health information systems or patient communication tools, prioritize clear, relatable metrics like odds and absolute numbers over complex statistical jargon to facilitate informed decision-making.

Field: Classic Design
Source: Scandinavian Journal of Primary Health Care (2021)
Method: Prospective cohort study
Evidence: Strong effect

Presenting prognostic information for prediabetes using odds against diabetes onset and absolute numbers for normoglycemia reversion significantly aids shared decision-making between patients and physicians. This classic design research insight is drawn from a 2021 study published in Scandinavian Journal of Primary Health Care. Using Prospective cohort study, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing health information systems or patient communication tools, prioritize clear, relatable metrics like odds and absolute numbers over complex statistical jargon to facilitate informed decision-making.

Study

Classic DesignHigh ImpactStrong effect

Risk Communication in Prediabetes: Odds and Absolute Numbers Enhance Decision-Making

Scandinavian Journal of Primary Health Care · 2021

Key Findings

01The odds against diabetes onset ranged from 29:1 to 1:1 depending on FPG and HbA1c levels.
02The probability of reversion to normoglycemia ranged from 31.2% to 6.2% based on FPG and HbA1c levels.
03Communicating risk using odds and absolute numbers can be useful for shared decision-making.

Application

Design takeaway

How to apply

When designing patient education materials or health tracking applications, use visual aids and simplified language to explain risk factors and potential outcomes, drawing parallels to the odds and absolute number approach used in this study.

Project actions

01When presenting data in your design project, consider how to simplify complex statistics into easily digestible formats.
02Think about the user's emotional response to risk information and design accordingly to avoid unnecessary anxiety.

Method & Evidence

AimTo estimate different prognostic outcomes in people with prediabetes and assess the utility of communicating these risks using odds and absolute numbers for shared decision-making.

MethodProspective cohort study

ProcedureSubjects with prediabetes were followed, and probabilities of diabetes onset versus non-onset, odds against diabetes onset, and probability of reverting to normoglycemia were calculated based on fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) levels.

ContextHealthcare, specifically prediabetes management.

Variables

IVFasting plasma glucose (FPG) levels, Glycated hemoglobin (HbA1c) levels.

DVProbability of diabetes onset, Odds against diabetes onset, Probability of reversion to normoglycemia.

CVAmerican Diabetes Association guidelines for prediabetes definition, Cohort characteristics (though not explicitly detailed as controlled variables, they represent the study's context).

Strengths & Limitations

Strengths

+Prospective cohort design allows for the observation of outcomes over time.
+Focus on practical communication methods (odds and absolute numbers) for clinical decision-making.

Limitations

The specific numerical ranges for prediabetes risk may vary based on different diagnostic criteria or populations.

Reliability & validity

The reliability of the findings would depend on the consistency of diagnostic measurements and follow-up procedures within the cohort. Validity is supported by the prospective nature of the study and the focus on clinically relevant outcomes.

Think critically

How might the 'classic' presentation of risk (e.g., percentages) be improved upon for different user groups or contexts, and what are the ethical considerations of simplifying risk information?

Design Principles

"Information clarity in risk communication enhances user comprehension and decision-making."

Effective risk communication is crucial in healthcare design, particularly for conditions like prediabetes where outcomes are highly variable. By translating complex statistical data into understandable formats, designers can create tools and interfaces that empower individuals to make informed choices about their health and potential interventions.

What This Means for Your Design

This study shows that explaining health risks, like the chance of getting diabetes, using simple numbers (like '29 chances out of 30') and clear outcomes (like '31 out of 100 people get better') helps people and their doctors make better choices together.

How to use in your project

1.Reference this study when discussing the importance of clear risk communication in your design process, especially if your project involves health or safety considerations.

Add to My Project

Quick Cite

Paragraph starter

The PREDAPS cohort study highlights the critical role of clear risk communication in healthcare, demonstrating that presenting prognostic information for prediabetes using odds against disease onset and absolute numbers for normoglycemia reversion significantly enhances shared decision-making between patients and physicians. This approach, by translating complex statistical data into understandable formats, empowers individuals to make more informed choices about potential interventions, a principle directly applicable to designing user-centered health information systems.

Source

Scandinavian Journal of Primary Health Care

Classifying and communicating risks in prediabetes according to fasting glucose and/or glycated hemoglobin: PREDAPS cohort study

journal · 2021

View source

Questions About This Research

What does the research say about risk communication in prediabetes: odds and absolute numbers enhance decision-making?: When designing health information systems or patient communication tools, prioritize clear, relatable metrics like odds and absolute numbers over complex statistical jargon to facilitate informed decision-making. Evidence: Scandinavian Journal of Primary Health Care (2021).
Why does "Risk Communication in Prediabetes: Odds and Absolute Numbers Enhance Decision-Making" matter for design?: Effective risk communication is crucial in healthcare design, particularly for conditions like prediabetes where outcomes are highly variable. By translating complex statistical data into understandable formats, designers can create tools and interfaces that empower individuals to make informed choices about their health and potential interventions.
How can designers apply this research?: When designing health information systems or patient communication tools, prioritize clear, relatable metrics like odds and absolute numbers over complex statistical jargon to facilitate informed decision-making.
What were the main findings?: The odds against diabetes onset ranged from 29:1 to 1:1 depending on FPG and HbA1c levels.. The probability of reversion to normoglycemia ranged from 31.2% to 6.2% based on FPG and HbA1c levels.. Communicating risk using odds and absolute numbers can be useful for shared decision-making.
What research method was used?: Prospective cohort study.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2021 journal from Scandinavian Journal of Primary Health Care.
What should I do differently in my next project?: When designing patient education materials or health tracking applications, use visual aids and simplified language to explain risk factors and potential outcomes, drawing parallels to the odds and absolute number approach used in this study.
What are the limitations?: The study's findings are specific to the PREDAPS cohort and may not be generalizable to all populations with prediabetes.