CHANGING DEMOGRAPHICS AND TECHNOLOGIES: IMPLICATIONS FOR

CANCER SERVICE DELIVERYLynne Nguyen, MPH, Director, Population & Community Core, Center

for Community-Engaged Translation ResearchJeffrey Frey, MBA, MCS, Director, Digital Experience, Information

ServicesJune 24, 2015

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Presentation Overview

• About the Center for Community-Engaged Translational Research

• Key drivers of cancer population demographics

• Impact of aging on a diverse population• Generational characteristics and behaviors• Changes with digital adoption / natives• Needed changes from a tech standpoint

MD Anderson Center for Community-Engaged Translational Research (CCETR)Mission: To bring communities & researchers together to create long-term solutions to prevent cancer & improve health

Goals: • To increase the participation of minorities & women in

cancer clinical trials through targeted interventions that reduce or eliminate barriers to enrollment

• To facilitate long-term research collaborations between communities & researchers to address health disparities

• To enable dissemination & implementation of evidence-based innovations that improve community health outcomes

CCETR receives funding from the Duncan Family Institute

Major Drivers of Cancer Population Demographics

Population Risk

Population Size

Population Age

White, Non-Hisp

Hispanic Black API0

50

100

150

200

250

300

350

400

450

500

438.7

332.5

447.5

238.3

Population Risk

Census 2012 TCR 20120%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

45.2%

64.9%

38.2%

20.8%

12.7% 11.6%3.9% 2.7%

Population Size

Population Risk & Population Size

Age-adjusted cancer rates are per 100,000 population2012 Cancer & population data provided by the Texas Cancer Registry, Cancer Epidemiology & Surveillance Branch, Texas Department of State Health Services

Age-Specific Cancer Incidence Rates

2008 2009 2010 2011 20120

500

1000

1500

2000

2500

19133

746

1583

2055

Ages <20 Ages 20-49 Ages50-64 Ages 65-74 Ages 75+

Rate

per

100

,000

Age-adjusted cancer rates are per 100,000 population2012 Cancer & population data provided by the Texas Cancer Registry, Cancer Epidemiology & Surveillance Branch, Texas Department of State Health Services

20102012

20142016

20182020

20222024

20262028

20302032

20342036

20382040

20422044

20462048

20500%

5%

10%

15%

20%

White Hispanic Black Other

Aging: The Silver Tsunami

Texans aged 65 and older, as a proportion of total population. 2012 Population data provided by the Texas Cancer Registry, Cancer Epidemiology & Surveillance Branch, Texas Department of State Health Services

Impact of An Aging, Diverse Population

Growing #s of Aged

Rising Cancer Risks

Treatment Innovations

More Cancer Diagnosed

More Cancer Disparities

More Survivors

Rising demand for post-treatment care

Workforce Capacity

Evolving Health Marketplace

Traditionalists & BoomersTRADITIONALISTS BABY BOOMERS

Birth Year 1922 - 1945 1946 – 1964

Current Age 70 – 115 y.o. 51 – 69 y.o.

Famous People Ronald Reagan, Bob Dole, Elizabeth Taylor

Steve Jobs, Bill Gates, Bill Clinton, GWB, Elton John, Dr. Spock, Donald Trump, Richard Branson

Cohort Size 50 Million 80 Million

Events WW1, WW2, Great Depression Woodstock, Vietnam War, JFK, Berlin Wall

Characteristics “The Greatest Generation”Personal responsibility, duty, honor, faith. Commitment to God, country, hard work. Frugal, self-disciplined, conformists. Military-like command & control leadership, respects authority, defined sense of right & wrong, detail oriented, past oriented.

“Healthiest Generation”More education, resources, parental attention. First modern counterculture. Cold War, Berlin Wall. Idealistic & uncynical, involved. orking & living longer, but not healthier due to rising obesity.

Gen-Xers and MillennialsGENERATION X MILLENNIALS

Birth Year 1965 – 1982 1983 - 2001

Current Age 33 – 50 y.o. 14 – 32 y.o.

Famous People JLo, JayZ, Princess Diana, Michael J. Fox, k.d. lang, Peyton Manning, Michelle Obama, Jeff Bezos, Brad Pitt, Lance Armstrong

Mark Zuckerberg, Justin Bieber, Taylor Swift, Lady Gaga, Beyonce, Kkardashian Honorary members: Steve Jobs, Barack Obama

Cohort Size 55 Million 75 Million

Characteristics “Lost Generation.” More open to diversity (religion, sexual differences, race)divorce, latchkey kids, daycare, single parenting. Skepticism, fun, informality, low corporate loyalty, unimpressed by authority, pragmatic, work-life balance, Best educated generation.

Google, rise of Information Age, War on Terror, Iraq War. Technology, gadgets, toys, connected 24/7. Pampered, “selfie generation”, much more diverse, less brand loyal, quickly evolving preferences, hi-speed internet a must

DIGITAL ADOPTION / NATIVES

WHAT DO YOU NEED TO DO

1. Focus on the technology experience2. Simplify simplify simplify all experiences3. Automate everything (when possible)4. Give people access to self-service5. Speed up (drugstore clinics, dr tools)6. Lean in on preventative technologies7. Staying connected (patient/physician/both)

1. TECHNOLOGY EXPERIENCES

2. SIMPLIFICATION

3. AUTOMATION

EXAMPLES4. SELF-SERVICE

EMERGING TECHNOLOGIES6. SPEEDING UP

6. PREVENTATIVE TECHNOLOGIES

7. STAYING CONNECTED

MD Anderson’sinterpretation of a next generation experience:

Audience-focused

Easy to use Transparent

Connected Innovative Human

Key Take-Aways (Lynne)

• Increasing race/ethnic diversity of U.S. population and population of people most at risk for cancer.

• Anticipating, understanding, and accommodating diverse generational preferences, characteristics, and values are vital to maintaining relevance

Key Take-Aways (Jeff)

• The shifts to the cancer population is actually aligning with the emerging technologies that can be exploited for better care.

• In order to better serve the population, create a set of guiding principles like personalized, usable, connected, etc. and design experiences and technologies toward those.

The Future Begins Now

Thank You!