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Breast Cancer Health Equity
Using Outcomes to Drive Future Work
Vikas Chowdhry (vikas@pccinnovation.org)
Parkland Center for Clinical Innovation
• Integrated Health System for Dallas County, TX
• 1 acute care hospital, 30 community-based outpatient clinics
• Medicaid managed care plan
• 61,000 admissions & 1,000,000 outpatient visits
• Primary teaching hospital for UTSW
• Non-profit, advanced R&D organization
• Focus on:
• Hospital Quality & Safety
• High-Risk Populations
• High Risk Conditions
• By leveraging data science and social determinants of health, we
are able to better support underserved populations across our
community
Breast Cancer Health Equity Initiative
3
Part of the AHA
Hospital Community
Cooperative Program
Parkland is 1 of 10 hospitals
selected across the country to
address a health equity issue
Parkland team with
Dr. Esmaeil Porsa,
Charles Horne, Colette
White and Teresita Oaks
leading the program
• Understand socio-economic inequities
that lead to health disparities
• Understand cancer and mammogram
history from Correctional Health Data
• Use outcomes to guide workflows and
operations
Plan Of Action
Understand quantitative impact on
outcomes of health inequity across:
Geography
Demographics
Correctional Health
Analyze qualitative data for actionable information
Propose solutions
ANALYSIS OF BREAST CANCER REGISTRY DATA
• 890 unique patients in Parkland Breast Cancer Registry Data
• 195 unique patients are late dx (stage 3 or 4)
Quantifying
geographical
health disparities
PROFILE OF LATE DX COHORT
Of the 199 cases (195 patients) late dx
122 cases (119 patients) were first diagnosed at Parkland
• Group 1 – 12 cases (12 patients) had mammogram records within one year
of dx
• Group 2 – 110 cases (109 patients) had no mammogram history within one
year
• 89 patients had encounter touchpoints with Parkland within one year of
dx
77 cases (77 patients) were not diagnosed at Parkland
PROFILE OF LATE DX COHORT
Of the 199 cases (195 patients) late dx
122 cases (119 patients) were first diagnosed at Parkland
• Group 1 – 12 cases (12 patients) had mammogram records within one year
of dx
• Group 2 – 110 cases (109 patients) had no mammogram history within one
year
• 89 patients had encounter touchpoints with Parkland within one year of
dx
77 cases (77 patients) were not diagnosed at Parkland
Propose building a point of care
alert in EHR
2018 CORRECTIONAL HEALTH DATAANALYSIS
Top 3 Cancers in CH Female Population
8,337 (25.1%) female in
2018 CH population
1,589 (19.1%) eligible
for mammograms (aged
45 to 74 years old)
6,750
not eligible
54 (3.4%) had screening within
last year, if aged 45 to 54 years old;
last two years, if aged 55 to 74 years old.
1,535 (96.6%)
need immediate
screening!
2018 CORRECTIONAL HEALTH DATAANALYSIS
Top 3 Cancers in CH Female Population
8,337 (25.1%) female in
2018 CH population
1,589 (19.1%) eligible
for mammograms (aged
45 to 74 years old)
6,750
not eligible
54 (3.4%) had screening within
last year, if aged 45 to 54 years old;
last two years, if aged 55 to 74 years old.
1,535 (96.6%)
need immediate
screening!
Considering mammogram unit in
correctional health
Qualitative Analysis Through Focus Groups
1. Why is a mammogram done?
2. How often do women need to have a
mammogram?
3. What is a self -breast exam?
4. Tell us what you know about breast cancer in
your ZIP Code
5. What can be done in your ZIP Code to reduce
the number of women with advanced breast
cancer?
6. What stops you from getting a mammogram
done?
7. If you had a choice, where is the best place to
get a mammogram done?
8. Who do you talk to when you have questions
about breast health?
9. Where would you feel comfortable talking
about breast health?
What can be done in
your ZIP Code to
reduce the number of
women with advanced
breast cancer?
Finances
Not able to afford
insurance
transportation
have
facility/access in
areas
Education, dates for
people to come for
workshop, show them
how to do breast cancer
examination.
NLP ANALYSIS OF FOCUS GROUP QUESTIONNAIRE
12
7
8
18
10
2
3
7
0
2
4
6
8
10
12
14
16
18
20
Anywhere Women Church Doctor's Office /
Nurses
Family Friends Who had breast
Cancer
Others
Q9: Where would you feel comfortable talking about breast health?
NLP provides a scalable way to
quantitatively analyze qualitative
data.
Actionability from Qualitative Data
• Need for education:
• In the community
• In primary care clinics
• In oncology
• Mobile mammogram unit deployment needs to be more
strategic
485
662
0 100 200 300 400 500 600 700
2018
2019
(through Aug)
Number of Mobile Unit Mammograms
Next Steps
• Expand analysis to TX Cancer Registry Data
• Use Collective Impact framework to drive
operational and public health policy changes
• Use data to measure process and outcomes
improvements

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Driving Breast Cancer Equity with Outcomes Data

  • 1. Breast Cancer Health Equity Using Outcomes to Drive Future Work Vikas Chowdhry (vikas@pccinnovation.org) Parkland Center for Clinical Innovation
  • 2. • Integrated Health System for Dallas County, TX • 1 acute care hospital, 30 community-based outpatient clinics • Medicaid managed care plan • 61,000 admissions & 1,000,000 outpatient visits • Primary teaching hospital for UTSW • Non-profit, advanced R&D organization • Focus on: • Hospital Quality & Safety • High-Risk Populations • High Risk Conditions • By leveraging data science and social determinants of health, we are able to better support underserved populations across our community
  • 3. Breast Cancer Health Equity Initiative 3 Part of the AHA Hospital Community Cooperative Program Parkland is 1 of 10 hospitals selected across the country to address a health equity issue Parkland team with Dr. Esmaeil Porsa, Charles Horne, Colette White and Teresita Oaks leading the program • Understand socio-economic inequities that lead to health disparities • Understand cancer and mammogram history from Correctional Health Data • Use outcomes to guide workflows and operations
  • 4. Plan Of Action Understand quantitative impact on outcomes of health inequity across: Geography Demographics Correctional Health Analyze qualitative data for actionable information Propose solutions
  • 5. ANALYSIS OF BREAST CANCER REGISTRY DATA • 890 unique patients in Parkland Breast Cancer Registry Data • 195 unique patients are late dx (stage 3 or 4) Quantifying geographical health disparities
  • 6. PROFILE OF LATE DX COHORT Of the 199 cases (195 patients) late dx 122 cases (119 patients) were first diagnosed at Parkland • Group 1 – 12 cases (12 patients) had mammogram records within one year of dx • Group 2 – 110 cases (109 patients) had no mammogram history within one year • 89 patients had encounter touchpoints with Parkland within one year of dx 77 cases (77 patients) were not diagnosed at Parkland
  • 7. PROFILE OF LATE DX COHORT Of the 199 cases (195 patients) late dx 122 cases (119 patients) were first diagnosed at Parkland • Group 1 – 12 cases (12 patients) had mammogram records within one year of dx • Group 2 – 110 cases (109 patients) had no mammogram history within one year • 89 patients had encounter touchpoints with Parkland within one year of dx 77 cases (77 patients) were not diagnosed at Parkland Propose building a point of care alert in EHR
  • 8. 2018 CORRECTIONAL HEALTH DATAANALYSIS Top 3 Cancers in CH Female Population 8,337 (25.1%) female in 2018 CH population 1,589 (19.1%) eligible for mammograms (aged 45 to 74 years old) 6,750 not eligible 54 (3.4%) had screening within last year, if aged 45 to 54 years old; last two years, if aged 55 to 74 years old. 1,535 (96.6%) need immediate screening!
  • 9. 2018 CORRECTIONAL HEALTH DATAANALYSIS Top 3 Cancers in CH Female Population 8,337 (25.1%) female in 2018 CH population 1,589 (19.1%) eligible for mammograms (aged 45 to 74 years old) 6,750 not eligible 54 (3.4%) had screening within last year, if aged 45 to 54 years old; last two years, if aged 55 to 74 years old. 1,535 (96.6%) need immediate screening! Considering mammogram unit in correctional health
  • 10. Qualitative Analysis Through Focus Groups 1. Why is a mammogram done? 2. How often do women need to have a mammogram? 3. What is a self -breast exam? 4. Tell us what you know about breast cancer in your ZIP Code 5. What can be done in your ZIP Code to reduce the number of women with advanced breast cancer? 6. What stops you from getting a mammogram done? 7. If you had a choice, where is the best place to get a mammogram done? 8. Who do you talk to when you have questions about breast health? 9. Where would you feel comfortable talking about breast health? What can be done in your ZIP Code to reduce the number of women with advanced breast cancer? Finances Not able to afford insurance transportation have facility/access in areas Education, dates for people to come for workshop, show them how to do breast cancer examination.
  • 11. NLP ANALYSIS OF FOCUS GROUP QUESTIONNAIRE 12 7 8 18 10 2 3 7 0 2 4 6 8 10 12 14 16 18 20 Anywhere Women Church Doctor's Office / Nurses Family Friends Who had breast Cancer Others Q9: Where would you feel comfortable talking about breast health? NLP provides a scalable way to quantitatively analyze qualitative data.
  • 12. Actionability from Qualitative Data • Need for education: • In the community • In primary care clinics • In oncology • Mobile mammogram unit deployment needs to be more strategic 485 662 0 100 200 300 400 500 600 700 2018 2019 (through Aug) Number of Mobile Unit Mammograms
  • 13. Next Steps • Expand analysis to TX Cancer Registry Data • Use Collective Impact framework to drive operational and public health policy changes • Use data to measure process and outcomes improvements