Download presentation
Presentation is loading. Please wait.
2
Z. L. Hyworon InfoTech Inc. Winnipeg, Canada
Global View of Impact of Psychosocial Factors on Health, Work and Well-Being Z. L. Hyworon InfoTech Inc. Winnipeg, Canada
3
I Declare the following conflict of interest
Type Company Ownership interest InfoTech Inc.
4
My Perspective Providing Decision Support for employers
Over 20 years working globally with multinational employers Delivering a global, personalized Decision Support for employees Raise awareness of personal health risk in the context of work and business Encourage action Triage based on risk to available company and health management “eco-system” resources Providing Decision Support for employers Quantify Risk exposure Identify & Evaluate Opportunities for Intervention Track Impact over time 14 years of global benchmarking Supporting global thought leaders in Occupational Health, Benefits, HR and Risk Management ICOH 2018, Dublin ICOH 2018, Dublin
5
Source of Data: Benchmark 2018
Benchmark Sample 498,270 employees 46 employers 82 countries 59 country benchmarks 20 Regional benchmarks 5 Year period January 1, 2013 to December 31, 2017 Benchmark Samples by Country Health Metrics 100% Lifestyle, Biometrics, Health Status Psychosocial Measures 100% Personal Stress 56% Organizational Stress (SSOS) 49% Depression (PHQ-9) 47% Financial Concerns 46% Productivity Loss (WLQ) 21% Sleep & Fatigue Change Group 39% with multiple assessments over time ICOH 2018, Dublin Source of data: Wellness Checkpoint Global Benchmark 2018
6
Our Global Journey: Evolving Role of Health Metrics
Prevention Psychosocial Survey / Audits Engagement exposures Business Priorities Regulatory / Guidelines Wellness surveillance Performance biometrics Resilience disability Lifestyle Health Metrics Psychological Safety Stress Checks Coaching periodic health exam dashboard metrics 24/7 connect high-level Reporting actionable correlate on-demand KPI stratify country regional compare Global business business leaders benchmark HR Risk group Work group line health wellness champions org unit site safety plant benefits ICOH 2018, Dublin ICOH 2018, Dublin
7
Health Metrics in a Business Context
Psychological Organizational Physical Well-Being Impact Measures Productivity Loss: Work Limitations / Absence Direct & Indirect Health Costs Psychological Physical Health Lifestyle view of Current Risk Biometric View of Future Risk Wellness Balance Psychological Personal Stress Depression Sleep & Fatigue Financial Concerns Well-Being Physical Organizational Well-Being Well-Being Assets & Challenges Physical Health Psychological Organizational Well-Being Age Adjustment Organizational Control, Reward Effort & Demand Organizational Modifiers Stress Satisfaction Offset (SSOS) Stress Satisfaction Index (SSIX) ICOH 2018, Dublin
8
Areas of higher prevalence
Global Scan of Key Metrics of Health, Work & Well-Being Psychological Organi- zational Well-Being Physical Impact: Productivity Areas of higher prevalence Africa Asia Personal Stress Sleep & Fatigue Depression Issues of higher prevalence 02/01/2019 ICOH 2018, Dublin Source of data: Wellness Checkpoint Global Benchmark 2018
9
Physical Health: Wellness Balance View
Health Challenged Healthy & Taking Care Very unhealthy lifestyle Chronic conditions Medical attention Healthy lifestyles No significant health issues Predictors & Warnings Well, Some Issues Unhealthy lifestyle Multiple risks and existing conditions Strong indicators of future issues Generally healthy Early indicators of future health issues ICOH 2018, Dublin Source of data: Wellness Checkpoint Global Benchmark 2018
10
Psychosocial Risks Prevalence & Impact on Work Performance
Productivity Loss: Presenteeism - on-the-job Work Limitations Absenteeism - absence due to health Severe @ Severe level of risk Moderate ICOH 2018, Dublin Source of data: Wellness Checkpoint Global Benchmark 2018
11
DEPRESSION Depression PHQ-9 Depression Screen Highest Prevalence
Moderate to Severe Measure PHQ-9 Depression Screen * Dr. Robert J. Spitzer, Dr. Janet B.W. Williams, Dr. Kurt Kroenke> Highest Prevalence Sample 246,667 Screened for Depression with PHQ-9 6.3 % Global prevalence for Moderate to Severe Depression groups Egypt 30.1% Malaysia 16.0% India 15.9% Health 69.0 % Wellness Balance: Health Challenged / Predictors & Warnings requiring medical evaluation &/or treatment 80.9 % Have 1 or more biometrics exceeding recommended guidelines 54.2 % Lead unhealthy lifestyles (rated overall Moderate to High Risk) Costa Rica 10.2% United Kingdom 9.9% Japan 9.4% Lowest Prevalence Singapore 6.5% Brazil 5.9% Columbia 3.4% Netherlands 3.3% South Korea United States 3.0% Work 43.2 % Report more Job Stress than Job Satisfaction 82.8 % Report Moderate to Severe Sleep Problems 18.7% Average Productivity Loss $8,906 Average Financial Impact per employee / year * based on salary of $50,000 per year Well-Being + 5.9 years of Well-Being Age Adjustment added to chronological age ICOH 2018, Dublin Source of data: Wellness Checkpoint Benchmark 2018
12
PERSONAL STRESS Stress Stress Risk Rating Highest prevalence
Moderate to Very high Measure Stress Risk Rating Evaluates 3 types of stressors (work, home & personality plus response to and coping with stress - InfoTech Inc.) Highest prevalence Egypt 93.4% Sample 498,207 Screened for Stress related Risk 54.8 % Global prevalence for Moderate, High or Very High Stress Philippines 79.0% India 77.2% Costa Rica 75.9% Health 51.6 % Wellness Balance: Health Challenged / Predictors & Warnings requiring medical evaluation &/or treatment 75.6 % Have 1 or more biometrics exceeding recommended guidelines 31.6 % Lead unhealthy lifestyles (rated overall Moderate to High Risk) Thailand 75.8% Malaysia 74.4% Lowest Prevalence Work 22.4 % Report more Job Stress than Job Satisfaction 47.0 % Report Moderate to Severe Sleep Problems 8.3 % Average Productivity Loss $4,076 Average Financial Impact per employee / year * based on salary of $50,000 per year Netherlands 47.7 % Germany 54.9% South Korea 56.4% Spain 56.9% Canada 59.1% Well-Being + 2.8 years of Well-Being Age Adjustment added to chronological age Italy 59.6% ICOH 2018, Dublin Source of data: Wellness Checkpoint Benchmark 2018
13
Sleep Problem Severity
SLEEP & FATIGUE Sleep Problem Severity Moderate to Severe Measure Sleep Problem Severity Scale Developed for InfoTech by Debra Lerner PhD, author of the Work Limitations Questionnaire (WLQ) Includes MOS-6 Sleep Scale, hours of sleep & impact of sleep on work Highest Prevalence Egypt 72.1% Sample 105,077 Screened for Sleep problems 35.5 % Global prevalence for Moderate to Severe Sleep Problems Malaysia 49.5% Singapore 45.1% Health 58.2 % Wellness Balance: Health Challenged / Predictors & Warnings requiring medical evaluation &/or treatment 77.8 % Have 1 or more biometrics exceeding recommended guidelines 39.9 % Lead unhealthy lifestyles (rated overall Moderate to High Risk) Costa Rica 44.8% India 41.4% Ireland 40.3% China 37.6% Work 26.5 % Report more Job Stress than Job Satisfaction 11. % Average Productivity Loss $ 5,667 Average Financial Impact per employee / year ( base on (at salary of $50,000 per year Lowest prevalence Columbia 25.2% United States 26.4% Netherlands 27.9% Well-Being + 3.9 years of Well-Being Age Adjustment added to chronological age Switzerland 31.2% Brazil 31.9% ICOH 2018, Dublin Source of data: Wellness Checkpoint Benchmark 2018
14
FINANCIAL CONCERNS Financial Concerns
Moderate to Severe Measure Financial Concerns Index & Rating Aggregate indicator of financial concerns related to work, home & health (InfoTech Inc.) Highest Prevalence Sample 235,909 Screened for Sleep problems 26.3 % Global prevalence for Moderate to Severe Financial Concerns China 93.5% Philippines 50.0% Brazil 47.7% Health 58.6 % Wellness Balance: Health Challenged / Predictors & Warnings requiring medical evaluation &/or treatment 74 % Have 1 or more biometrics exceeding recommended guidelines 22.8 % Lead unhealthy lifestyles (rated overall Moderate to High Risk) Japan 47.3% India 42.5% Singapore 38.8% Work.8 43.2 % Report more Job Stress than Job Satisfaction 57.0 % Report Moderate to Severe Sleep Problems 11.5 % Average Productivity Loss $ 5,589 Average Financial Impact per employee / year ( base on (at salary of $50,000 per year Lowest prevalence Switzerland 8.6% Germany 9.3% Netherlands 10.4% Well-Being ` years of Well-Being Age Adjustment added to chronological age United Kingdom 19.9% United States 20.6% ICOH 2018, Dublin Source of data: Wellness Checkpoint Benchmark 2018
15
ORGANIZATIONAL STRESS
Stress Satisfaction Offset Score More Stress than Satisfaction Measure Stress Satisfaction Offset Score (SSOS) * Dr. Martin Shain, Health Canada, Centre for Addictions and Mental Health Egypt 30.4% Italy 25.5% Sample 280,458 Screened for Stress and Satisfaction Offset 14.6 % Global prevalence for More Stress than Satisfaction 37.5% Global prevalence for Much More Satisfaction than Stress Argentina 22.4% Malaysia 22.3% Spain 19.0% Health 58.1 % Wellness Balance: Health Challenged / Predictors & Warnings requiring medical evaluation &/or treatment 76.9 % Have 1 or more biometrics exceeding recommended guidelines 39.7 % Lead unhealthy lifestyles (rated overall Moderate to High Risk) Brazil 18.2% Stress Satisfaction Offset Score Much More Satisfaction than Stress Work 35.8 % Report more Job Stress than Job Satisfaction 59.4 % Report Moderate to Severe Sleep Problems 10.9 % Average Productivity Loss $ 5,318 Average Financial Impact per employee / year ( base on (at salary of $50,000 per year Netherlands 49.5% United States 46.6% United Kingdom 42.7% Puerto Rico 42.1% Germany 40.8% Well-Being 3.70 years of Well-Being Age Adjustment added to chronological age Switzerland 40.0% ICOH 2018, Dublin Source of data: Wellness Checkpoint Benchmark 2018
16
Global KPI: Health, Work and Well-Being
Benchmark norm = years ICOH 2018, Dublin Source of data: Wellness Checkpoint Benchmark 2018
17
Zorianna Hyworon zorianna@wellnesscheckpoint.com
Thank you! Zorianna Hyworon
Similar presentations
