HEALTH WEALTH CAREER
WHEN WOMEN THRIVE I S Y O U R T O TAL R E WAR D S PROGRAM ALLOWING WOMEN TO THRIVE…OR D R I V I N G T H E M AW AY
K E L LY E S S E L MA N , S P H R ,C E B S , C W P M PRINCIPAL DENVER
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AGEND A
The Global Imperative © MERCER 2015
Role of Company
Advancing in Careers
Financially Secure
Healthy & Productivity 1
WHEN WOMEN THRIVE
T H E G L O B A L I M P E R AT I V E
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GENDER DIVERSITY T H E D AT A I S C O M P E L L I N G
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“A nation’s competitiveness depends…on whether and how it educates and utilizes its female talent” “No country in the world has achieved gender equality” – 2014 Global Gender Report
%
5% 12%
GDP increase
9%
34%
Eliminating the gap between male and female employment rates could boost countries’ GDP by as much as 34% © MERCER 2015
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T H E D AT A I S C O M P E L L I N G If every country matched the progress toward gender parity of its fastest-improving neighbor, global GDP could increase up to $12 trillion in 2025 Incremental 2025 Global GDP over Business-as-Usual Scenario,1 (%)
Incremental GDP, ($ trillion)
India
16%
0.7
Latin America
14%
1.1
China
12%
2.5
Sub-Saharan Africa
12%
0.3
North America & Oceania
11%
3.1
World
11%
11.8
Middle East & North Africa
11%
0.6
South Asia (excl. India
11%
0.1
Western Europe
9%
2.1
Eastern Europ and Central Asia
9%
0.4
East & Southeast Asia (excl. China)
8%
0.9
$12T GDP increase
1 Sample = 95 countries Source: HIS; ILO; Oxford Economics; World Input-Output Database; national statistical agencies; McKinsey Global Growth Model; McKinsey Global Institute analysis
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WE’VE MADE PROG RESS… B U T W E ’ R E N O T M O V I N G FAS T E N O U G H .
ONLY
LESS THAN
LESS THAN
% 60-70
25%
5%
Global female workforce participation
Senior management roles
Fortune 500 CEOs
(compared to male participation – high 80s)
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WHEN WOMEN THRIVE
THE ROLE OF T H E C O M PA N Y
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RESEARCH FINDI NGS: SUMM ARY O F CORE THEMES
1 Seek holistic solutions Broad, enterprise focus is linked to sustainable change
2 Foster passion over formality 3
Accountability is not enough – leadership needs to be Manage actively, not passively engaged in promoting & managing diversity
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Active management of policies/programs intended to embrace and different lifedifferently choices is required to avoid Think act unintended career penalties Non-traditional solutions drive future success
5 Realize unique value
Companies that recognize and value the differences between women and men benefit © MERCER 2015
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I N C L U S I V E L E A D E R S H I P S T R AT E G Y Objective: identify and address unconscious bias in order to build a workforce that is more inclusive, more innovative and takes full advantage of talent diversity THE JOURNEY
BIAS • Shortcuts • Assumptions • Stereotypes • Micro-Inequities • Micro-Affirmations
RECOGNIZE
REFLECT
• Become aware of incorrect assumptions
• Slow down the automatic process
• Take note of unintended outcomes
• Uncouple the stereotype
• Accept feedback & insight from others
• Unpack the incorrect assumptions • Shift your perspective
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REMEDY • Consider options based on your new perspective • Make decisions that are more inclusive • Coach your team members to examine and shift their perspective 8
1 T H E D ATA I S C O M P E L L I N G (GLOBAL, CLIENTS, M ERCER RESEARCH) Passion
Process
2 FOR THIS TO WORK W E N E E D I T T O B E / H AV E … 3
Proof
Programs
WHEN WOMEN THRIVE THEY ARE… ADVANCING IN CAREERS
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FINANCIALLY SECURE
HEALTHY & PRODUCTIVE
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WHEN WOMEN THRIVE
AD VA N C E I N C AR E E R S
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20%
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20%
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80%
20%
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80%
20%
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80%
Women will act only when they have a higher confidence level of success compared to their male counterparts
20%
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WE NEED TO LOO K AT POLI CIES AND PROCEDURES EXAMPLE: MO BILITY OF WORKFORCE
1980s
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2000
2010
2015
Awareness
Acceptance
Action 16
W O M E N FAC E C H O K E P O I N T S … DISGUISED CASE EXAMPLE Career Level
Total Hires
Executive
Females: 7% Males: 5%
Average Representation and Total Promotions Female Male
Females: 14% Males: 10%
24% 76% Females: 3% | Males: 4%
Senior Manager
Females: 6% Males: 9%
31%
Buying male talent here Manager
Total Exits
Woman leave at higher rate Females: 12% Males: 10%
69%
Females: 8% | Males: 10%
Females: 7% Males: 10%
42%
Females: 10% Males: 10%
58%
Females: 6% | Males: 7%
Professional
Females: 15% Males: 15%
Support Staff
Females: 20% Males: 31%
Females: 13% Males: 13%
55%
45% Females: 8% | Males: 9%
35%
65%
Females: 18% Males: 23%
Overall representation: 48% female | 52% male © MERCER 2015
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G E N D E R M I X F O R VA R I O U S E X C O R O L E S AT F I N A N C I A L I N S T I T U T I O N S ( % ) 41%
59%
Head of HR
57%
43%
Head of Marketing
64%
36%
Head of Audit
67%
33%
Head of Legal
73%
27%
Head of Compliance Head of Strategy
23%
77%
Head of IT
23%
77%
Total ExCo members
12%
87%
Head of BU/Region 11%
89%
COO 11%
89%
CFO 8%
92%
CRO 4%
96%
CEO 4%
96% % Female
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Post the financial crisis, shareholders are looking for a different culture in financial services: a different model of leadership % Male
– Anna Marrs, Group Head of Commercial and Banking Clients, Standard Chartered 18
WHEN WOMEN THRIVE
F I N A N C I A L LY S E C U R E
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W O M E N H AV E U N I Q U E F I N A N C I A L N E E D S …
48% women leave the workforce after having children 74% of professional women will rejoin the workforce in some capacity, but only 40% will return to full time jobs
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47% Of respondents would have to borrow or sell something to cover a $400 financial emergency.
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AND FINANCI AL STRESS MANIFESTS I N H E A LT H I S S U E S 44%
39% 26%
33%
27%
17%
15%
8%
Migraines/Headaches
Insomnia/Sleep trouble
High blood pressure
Stomach ulcers
51% 29%
31% 4%
Muscle tension/Back pain
Severe anxiety
People with Low Levels of Financial Stress
23% 4%
Severe depression
3%
6%
Heart attacks
People with High Levels of Financial Stress
AP AOL Health Poll: The Toll Owing Money Takes on the Body
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ALONG WITH ABSENTEEISM, P R E S E N T E E I S M , AN D T U R N O V E R
22%
15%
20%
ABESNTEEISM:
PRESENTEEISM:
TURNOVER:
missed ≥ 1 day of work to deal with financial issues
spend ≥ 20 hours a month at work on financial activities
Voluntary employee turnover due to financial stress
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C O N S I D E R A S T R AT E G Y O F F I N A N C I A L W E L L - B E I N G Monitor key performance indicators and support vendor management Implementation and monitoring Standard and targets
Microtargeted interventions
STRONG DATA ANALYTICS Drivers and barriers
Design a wellness campaign specific to your workforce needs
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Broad-based interventions
Identify the key financial wellness issues and unique employee segments or clusters based on your data
Define clusters/personas
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GENDER DIFFERENCES Different work cycles. Different levels of financial confidence. Different household financial responsibilities.
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A B U N D A N T T E C H N O L O G Y S O L U T I O N S AVA I L A B L E ARE BOTH AN OPPORTUNITY AND A CHALLENGE
n = Debt/loans n = Budget n = Investments © MERCER 2015
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A N D I T ’ S I M P O R TA N T T O K N O W H O W E M P L O Y E E S WANT TO BE ENGAGED
30%
Help me do it
50%
Do it for me
20%
Leave me to it “Do it for me” Most technology solutions are built for the 20% “leave me to it” group @MERCER 2015 © MERCER 2015
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O R G A N I Z AT I O N S S O LV I N G T H I S C H A L L E N G E A R E L E V E R A G I N G T E C H N O L O G Y TO B R I N G T H E R I G H T TO O L S AT THE RIGHT TIME TO THEIR EMPLOYEE GROUPS
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WHEN WOMEN THRIVE
H E ALT H Y & P R O D U C T I V E
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W O M E N H AV E U N I Q U E H E A L T H N E E D S …
Women make 80% of the healthcare decisions 51% have chronic health conditions themselves
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A M A C R O H E A LT H C A R E F R A M E W O R K T R A N S PA R E N T C O N S U M E R M A R K E T S (CONSUMER) Empowering consumers to make informed, valuebased decisions, shifting the basis of competition
SMART CARE T EAMS ( PAT I E N T )
(CAREGIVER)
Enabling a predictive, personalized, preventive health/ wellness/ engagement ecosystem © MERCER 2015
QUANTIFIED SELF
Source: Oliver W yman 2014, “The Patient to Consumer Revolution”
Elevating consumer understanding of health in real time – transforming expectation of the marketplace
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W O M E N A N D H E A L T H – T H E P AT I E N T Not just r e p r o d u c t io n – To p subjects wo me n di scuss wi th their healthcare p r o v id e r s1
Diet, exercise and nutrit ion
Getting enough calcium to prevent bone loss
Health conditions that impact only women2, e.g.:
Health conditions far more prevalent in women2, e.g.:
S m oking
Mental health issues
A lc ohol / drug use
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1. 2.
Health conditions that impact women differently2, e.g.:
• Breast, ovarian, cervical cancers • Fertility/infertility; pregnancy; fetal health • Menopause • Autoimmune diseases (75% occur in women, among the top 10 killers of younger women in particular) • Depressive disorders (2-3x more prevalent in women) • Eating disorders (88% of patients are women) • Alzheimer’s disease (75% of patients are women) • Sleep disorders (women 2x as likely to have difficulty) • Osteoarthritis (typically women over the age of 45) • Cardiovascular disease (heart attack symptoms are different/more subtle– leads to delayed treatment) • Metabolic disorders (e.g. diabetes; shorter life expectancy, worse blood glucose control, increased depression) • Obesity (increased risk of breast/uterine cancers; obese women more likely to have high blood pressure, diabetes and other complications) • Nutrition/wellness • Efficacy and side effects of many drugs and devices (medical testing issue)
Kaiser Family Foundation, Women’s Health Care Chartbook The Business Case for Women’s Health, Anula Jayasuriya, MD PhD
Age / life stage consideration
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W O M E N AN D H E ALT H – I L L N E S S B U R D E N (SAMPLE) Women
KEY OBSERVATIONS :
Men 163 158
•
Women at most organizations have a significantly higher illness burden than their male counterparts
•
Risk burden is highly predictive of future costs
130 113
100
87 54
20s
53
30s
40s
50s+
Diagnostic Cost Groups (DCGs) is a research-based and broadly used methodology that combines age, gender and diagnoses into a score (assigned to each person) that is shown to be highly predictive of future costs
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W O M E N AN D H E ALT H – P R E V E N T I V E C AR E (SAMPLE) Women
Are there varying levels of compliance with preventive screenings? Preventive Visit
43%
19%
Mammogram
49%
n/a
Cervical Cancer
39%
n/a
Cholesterol
54%
48%
Colon Cancer
18%
18%
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KEY OBSERVATIONS :
Men
•
In spite of full coverage for preventive care, preventive care is underutilized
•
Preventive care visits serve a number of important goals, including building / solidifying the patient-provider relationship
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W O M E N AN D H E ALT H – T O P C O N D I T I O N S (SAMPLE) Similar to research on health issues, the top cost drivers for women vary by age and include both reproductive health and other conditions that impact women differently (Diabetes Cancer, Musculoskeletal)
WOMEN 20s
30s
40s
MEN 50s+
Pregnancy (vaginal) • $653K
Pregnancy w/ Csection • $508K
Osteoarthritis • $560K
Osteoarthritis • $603K
Cancer (Leukemia) • $504K
Pregnancy (vaginal) • $452K
Tumors Gynecological, Benign • $453K
Diabetes • $589K
Pregnancy w/out Delivery • $219K
Headache, Migraine/ Muscle Tens • $301K
Multiple Sclerosis • $421K
Pregnancy w/ Csection • $165K
Pregnancy w/out Delivery • $272K
Rheumatic Fever/ Valvular Dis • $127K
Dysfunctional Uterine Bleeding • $247K
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20s
30s
40s
50s+
Respiratory Disord, Congenital • $102K
Cancer (Leukemia) • $163K
Spinal/Back Disord, Low Back • $417K
Osteoarthritis • $865K
Renal Function Failure • $81K
Spinal/Back Disord, Low Back • $143K
Spinal/Back Disord, Ex Low • $260K
Condition Related Med/Surg • $549K
Cancer (Breast) • $380K
HIV Infection • $78K
HIV Infection • $128K
Diabetes • $188K
Diabetes • $440K
Diabetes • $393K
Overweight/ Obesity • $270K
Diabetes • $54K
Mental Health/SA • $96K
HIV Infection • $153K
Coronary Artery Disease • $364K
Spinal/Back Disord, Low Back • $248K
Hypertension, Essential • $264K
Gastroint Disord, NEC • $40K
Fracture/ Disloc Upper Extrem • $94K
Osteoarthritis • $119K
Cancer (Leukemia) • $357K
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W O M E N AN D H E ALT H – C H R O N I C C O N D I T I O N P R E VAL E N C E ( S AM P L E )
Other Conditions
CardioVascular
Mental Health
Patients per 1,000
Women
Men
Norm
Anxiety
32.9
18.3
22.6
Bipolar
6.7
3.7
4.6
58.7
33.5
37.3
107.4
97.8
64.5
Coronary Artery Disease
8.6
17.4
8.1
Congestive Heart Failure
2.2
1.1
1.4
Asthma
25.3
12.1
22.4
COPD
5.7
1.3
3.9
Diabetes
69.7
66.9
38.0
Osteoarthritis
55.2
35.7
33.5
6.7
1.5
3.1
88.5
72.9
65.7
Depression Hypertension
Rheumatoid Arthritis Low Back Disorder
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KEY OBSERVATIONS : •
Advanced care management programs will target the chronic conditions impacting employees
•
Targeted interventions for specific areas should also be considered as part of a holistic population health management strategy
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W O M E N A N D H E A LT H – T H E CONSUMER • Women account for 80% of all healthcare consumer purchases1 • Average annual healthcare expenditures for all women as of 2011 was $4,315 (versus $3,948 for men)2 • Health categories in which women are the largest consumers: Cosmetic procedures; Aesthetic medical devices; Nutraceuticals; Wellness3
The Healthcare Consumer
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Women are increasingly turning to social media for health care information and sharing their healthcare experiences, recommendations, and decisions3 – but where/how women get their health care information varies across the lifecycle in today’s multi-generational workforce:
“Women: Where do you get your healthcare information today?”5
50% 40%
From a healthcare provider From the internet From family/friends Other sources
30% 20% 10% 0%
Ages 18-29 1. 2. 3. 4. 5. 6.
Ages 30-39
Ages 40-49
Ages 50-64
http://she-conomy.com/report/marketing-to-women-quick-facts CDC (http://www.cdc.gov/nchs/data/hus/2014/106.pdf) The Business Case for Women’s Health, Anula Jayasuriya, MD PhD Pew Internet Project Kaiser Family Foundation, Women’s Health Care Chartbook Fidelity Money Fit Women Study
Age / life stage consideration
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W O M E N A N D H E A LT H – T H E CAREGIVER
The Healthcare Caregiver – “Women as the CMOs of their families”
Mid-Career Women
Late-Career Women
Women in Retirement
• 85% of mothers select their young children’s doctor5 • 84% of mothers take their children to doctor’s appointments5
• 55% of family caregivers are ages 45545 • Many late-career women care for growing children, many of whom are becoming adults themselves, as well as their spouses and often elderly parents5
• On average, women live 6-8 years longer than their male counterparts. Many end up making decisions for their aging spouses and/or caring for their male loved ones as they near death6
• 48% of full time working women have to take time off work when their child is sick5 1. 2. 3. 4. 5. 6.
http://she-conomy.com/report/marketing-to-women-quick-facts CDC (http://www.cdc.gov/nchs/data/hus/2014/106.pdf) The Business Case for Women’s Health, Anula Jayasuriya, MD PhD Pew Internet Project Kaiser Family Foundation, Women’s Health Care Chartbook Fidelity Money Fit Women Study
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Age / life stage consideration
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W O M E N AN D H E ALT H – S P E N D O N H E ALT H ( S AM P L E )
Women are spending a significantly higher share of their pay on health care… (Employee health care costs (PEPY) as a % of average annual salary by age, and gender)
Women
13%
Men 13% 12%
11%
8% 6% 4%
20s © MERCER 2015
30s
5%
40s
50s+ 38
W O M E N A N D H E A LT H – S AV I N G S (SAMPLE)
…and have a much lower balance in their HSA Women
Women
Men
Men
$1,745 $3,750 $3,576
$1,517 $1,258
$1,309
$1,300 $1,211
$2,871
$2,650
$705
$3,986 $3,610 $2,925
$575 $1,020
20's
30's
40's
50's+
Salary: Less than $60,000 © MERCER 2015
20's
30's
40's
50's+
Salary:$60,000 $60,000and andHigher Higher Salary: 39
W O M E N A N D H E A L T H – I N N O V AT I O N S T H AT M AT T E R
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DESIRED OUTCOMES • Create greater DEMAND for diverse talent through improving leader competency/knowledge, and increased accountability for results • Improve SUPPLY of diverse talent by optimizing recruitment, selection and retention processes; building focused development programs; and expanding talent pipeline for critical roles • Increase employee ENGAGEMENT and create an environment of greater inclusion to deliver better business and talent outcomes • Increase VELOCITY while accelerating development, engagement and promotion of a diverse group of qualified employees © MERCER 2015
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I THRIVE WHEN…..WE THRIVE WHEN…
Know Your Numbers
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Engage Men
Champion Programs and Inclusion
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