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#14 James Diao: When should race be used in medical algorithms?

1:27:23
 
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Manage episode 454797789 series 3503557
Content provided by with Leah Pierson and Sophie Gibert, With Leah Pierson, and Sophie Gibert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by with Leah Pierson and Sophie Gibert, With Leah Pierson, and Sophie Gibert or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we speak with researcher and physician Dr. James Diao about when and why race should be included or excluded from clinical algorithms. We focus on his work evaluating the implications of including race as a variable in two clinical algorithms: one used to assess lung function, and another used to assess cardiovascular disease risk.

(00:00) Our introduction
(05:10) Interview begins
(09:47) Criteria for the inclusion/exclusion of race of clinical algorithms
(16:23) Inclusion of race in lung function equations
(27:04) Estimated racial disparities in lung disease classification
(31:37) Estimated racial disparities in access to social services and healthcare
(37:44) The PREVENT equations for cardiovascular risk
(47:44) Anticipated impact on statin recommendations
(57:22) Estimated changes in statin eligibility by race
(1:10:03) Whether we should exclude race from clinical algorithms by default
(1:20:36) Common themes and failure modes

Used or referenced:

Bio(un)ethical is a bioethics podcast written and edited by Leah Pierson and Sophie Gibert, with production support by Audiolift.co. Our music is written by Nina Khoury and performed by Social Skills. We are supported by a grant from Amplify Creative Grants.

  continue reading

Chapters

1. Our introduction (00:00:00)

2. Interview begins (00:05:10)

3. Criteria for the inclusion/exclusion of race in clinical algorithms (00:09:47)

4. Inclusion of race in lung function equations (00:16:23)

5. Estimated racial disparities in lung disease classification (00:27:04)

6. Estimated racial disparities in access to social services and healthcare (00:31:37)

7. The PREVENT equations for cardiovascular risk (00:37:44)

8. Anticipated impact on statin recommendations (00:47:44)

9. Estimated changes in statin eligibility by race (00:57:22)

10. Whether we should exclude race from clinical algorithms by default (01:10:03)

11. Common themes and failure modes (01:20:36)

21 episodes

Artwork
iconShare
 
Manage episode 454797789 series 3503557
Content provided by with Leah Pierson and Sophie Gibert, With Leah Pierson, and Sophie Gibert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by with Leah Pierson and Sophie Gibert, With Leah Pierson, and Sophie Gibert or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we speak with researcher and physician Dr. James Diao about when and why race should be included or excluded from clinical algorithms. We focus on his work evaluating the implications of including race as a variable in two clinical algorithms: one used to assess lung function, and another used to assess cardiovascular disease risk.

(00:00) Our introduction
(05:10) Interview begins
(09:47) Criteria for the inclusion/exclusion of race of clinical algorithms
(16:23) Inclusion of race in lung function equations
(27:04) Estimated racial disparities in lung disease classification
(31:37) Estimated racial disparities in access to social services and healthcare
(37:44) The PREVENT equations for cardiovascular risk
(47:44) Anticipated impact on statin recommendations
(57:22) Estimated changes in statin eligibility by race
(1:10:03) Whether we should exclude race from clinical algorithms by default
(1:20:36) Common themes and failure modes

Used or referenced:

Bio(un)ethical is a bioethics podcast written and edited by Leah Pierson and Sophie Gibert, with production support by Audiolift.co. Our music is written by Nina Khoury and performed by Social Skills. We are supported by a grant from Amplify Creative Grants.

  continue reading

Chapters

1. Our introduction (00:00:00)

2. Interview begins (00:05:10)

3. Criteria for the inclusion/exclusion of race in clinical algorithms (00:09:47)

4. Inclusion of race in lung function equations (00:16:23)

5. Estimated racial disparities in lung disease classification (00:27:04)

6. Estimated racial disparities in access to social services and healthcare (00:31:37)

7. The PREVENT equations for cardiovascular risk (00:37:44)

8. Anticipated impact on statin recommendations (00:47:44)

9. Estimated changes in statin eligibility by race (00:57:22)

10. Whether we should exclude race from clinical algorithms by default (01:10:03)

11. Common themes and failure modes (01:20:36)

21 episodes

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