Use of Machine Learning and Lay Care Coaches to Increase Advance Care Planning Conversations for Patients With Metastatic Cancer. Issue 2 (17th February 2023)
- Record Type:
- Journal Article
- Title:
- Use of Machine Learning and Lay Care Coaches to Increase Advance Care Planning Conversations for Patients With Metastatic Cancer. Issue 2 (17th February 2023)
- Main Title:
- Use of Machine Learning and Lay Care Coaches to Increase Advance Care Planning Conversations for Patients With Metastatic Cancer
- Authors:
- Gensheimer, Michael F.
Gupta, Divya
Patel, Manali I.
Fardeen, Touran
Hildebrand, Rachel
Teuteberg, Winifred
Seevaratnam, Briththa
Asuncion, Mary Khay
Alves, Nina
Rogers, Brian
Hansen, Jennifer
DeNofrio, Jan
Shah, Nigam H.
Parikh, Divya
Neal, Joel
Fan, Alice C.
Moore, Kaidi
Ruiz, Shann
Li, Connie
Khaki, Ali Raza
Pagtama, Judy
Chien, Joanne
Brown, Tiffany
Tisch, Alison Holmes
Das, Millie
Srinivas, Sandhya
Roy, Mohana
Wakelee, Heather
Myall, Nathaniel J.
Huang, Jane
Shah, Sumit
Lee, Howard
Ramchandran, Kavitha
… (more) - Abstract:
- Abstract : PURPOSE: Patients with metastatic cancer benefit from advance care planning (ACP) conversations. We aimed to improve ACP using a computer model to select high-risk patients, with shorter predicted survival, for conversations with providers and lay care coaches. Outcomes included ACP documentation frequency and end-of-life quality measures. METHODS: In this study of a quality improvement initiative, providers in four medical oncology clinics received Serious Illness Care Program training. Two clinics (thoracic/genitourinary) participated in an intervention, and two (cutaneous/sarcoma) served as controls. ACP conversations were documented in a centralized form in the electronic medical record. In the intervention, providers and care coaches received weekly e-mails highlighting upcoming clinic patients with < 2 year computer-predicted survival and no prior prognosis documentation. Care coaches contacted these patients for an ACP conversation (excluding prognosis). Providers were asked to discuss and document prognosis. RESULTS: In the four clinics, 4, 968 clinic visits by 1, 251 patients met inclusion criteria (metastatic cancer with no prognosis previously documented). In their first visit, 28% of patients were high-risk (< 2 year predicted survival). Preintervention, 3% of both intervention and control clinic patients had ACP documentation during a visit. By intervention end (February 2021), 35% of intervention clinic patients had ACP documentation compared with 3%Abstract : PURPOSE: Patients with metastatic cancer benefit from advance care planning (ACP) conversations. We aimed to improve ACP using a computer model to select high-risk patients, with shorter predicted survival, for conversations with providers and lay care coaches. Outcomes included ACP documentation frequency and end-of-life quality measures. METHODS: In this study of a quality improvement initiative, providers in four medical oncology clinics received Serious Illness Care Program training. Two clinics (thoracic/genitourinary) participated in an intervention, and two (cutaneous/sarcoma) served as controls. ACP conversations were documented in a centralized form in the electronic medical record. In the intervention, providers and care coaches received weekly e-mails highlighting upcoming clinic patients with < 2 year computer-predicted survival and no prior prognosis documentation. Care coaches contacted these patients for an ACP conversation (excluding prognosis). Providers were asked to discuss and document prognosis. RESULTS: In the four clinics, 4, 968 clinic visits by 1, 251 patients met inclusion criteria (metastatic cancer with no prognosis previously documented). In their first visit, 28% of patients were high-risk (< 2 year predicted survival). Preintervention, 3% of both intervention and control clinic patients had ACP documentation during a visit. By intervention end (February 2021), 35% of intervention clinic patients had ACP documentation compared with 3% of control clinic patients. Providers' prognosis documentation rate also increased in intervention clinics after the intervention (2%-27% in intervention clinics, P < .0001; 0%-1% in control clinics). End-of-life care intensity was similar in intervention versus control clinics, but patients with ≥ 1 provider ACP edit met fewer high-intensity care measures ( P = .04). CONCLUSION: Combining a computer prognosis model with care coaches increased ACP documentation. … (more)
- Is Part Of:
- JCO oncology practice. Volume 19:Issue 2(2023)
- Journal:
- JCO oncology practice
- Issue:
- Volume 19:Issue 2(2023)
- Issue Display:
- Volume 19, Issue 2 (2023)
- Year:
- 2023
- Volume:
- 19
- Issue:
- 2
- Issue Sort Value:
- 2023-0019-0002-0000
- Page Start:
- e176
- Page End:
- e184
- Publication Date:
- 2023-02-17
- Subjects:
- Oncology -- Periodicals
Medical Oncology
Neoplasms
Oncology
Periodicals
616.994 - Journal URLs:
- https://ascopubs.org/journal/jop ↗
http://journals.lww.com/pages/default.aspx ↗ - DOI:
- 10.1200/OP.22.00128 ↗
- Languages:
- English
- ISSNs:
- 2688-1527
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 26090.xml