Long-term effect of machine learning–triggered behavioral Nudges on serious illness conversations and end-of-life outcomes among patients with cancer: A …

CR Manz, Y Zhang, K Chen, Q Long, DS Small… - JAMA …, 2023 - jamanetwork.com
Importance Serious illness conversations (SICs) between oncology clinicians and patients
are associated with improved quality of life and may reduce aggressive end-of-life care …

Effect of integrating machine learning mortality estimates with behavioral nudges to clinicians on serious illness conversations among patients with cancer: a stepped …

CR Manz, RB Parikh, DS Small, CN Evans… - JAMA …, 2020 - jamanetwork.com
Importance Serious illness conversations (SICs) are structured conversations between
clinicians and patients about prognosis, treatment goals, and end-of-life preferences …

Machine learning approaches to predict 6-month mortality among patients with cancer

RB Parikh, C Manz, C Chivers, SH Regli… - JAMA network …, 2019 - jamanetwork.com
Importance Machine learning algorithms could identify patients with cancer who are at risk of
short-term mortality. However, it is unclear how different machine learning algorithms …

Use of machine learning and lay care coaches to increase advance care planning conversations for patients with metastatic cancer

MF Gensheimer, D Gupta, MI Patel, T Fardeen… - JCO Oncology …, 2023 - ascopubs.org
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 …

Evaluating an intervention to improve communication between oncology clinicians and patients with life-limiting cancer: a cluster randomized clinical trial of the …

J Paladino, R Bernacki, BA Neville, J Kavanagh… - JAMA …, 2019 - jamanetwork.com
Importance Earlier clinician-patient conversations about patients' values, goals, and
preferences in serious illness (ie, serious illness conversations) are associated with better …

Patient and clinician experience of a serious illness conversation guide in oncology: a descriptive analysis

J Paladino, L Koritsanszky, L Nisotel… - Cancer …, 2020 - Wiley Online Library
Background/objective Oncology guidelines recommend earlier communication with patients
about prognosis and goals‐of‐care in serious illness. However, current evidence leaves …

Don't throw the baby out with the bathwater: meta-analysis of advance care planning and end-of-life cancer care

K Levoy, SS Sullivan, J Chittams, RL Myers… - Journal of pain and …, 2023 - Elsevier
Context There is ongoing discourse about the impact of advance care planning (ACP) on
end-of-life (EOL) care. No meta-analysis exists to clarify ACP's impact on patients with …

Effects of a communication intervention randomized controlled trial to enable goals-of-care discussions

NA Bickell, AL Back, K Adelson, JP Gonsky… - JCO Oncology …, 2020 - ascopubs.org
PURPOSE: Patients with advanced cancer often have a poor understanding of cancer
incurability, which correlates with more aggressive treatment near the end of life (EOL). We …

Serious illness conversations with outpatient oncology clinicians: understanding the patient experience

P Kumar, J Wixon-Genack, J Kavanagh… - JCO oncology …, 2020 - ascopubs.org
PURPOSE: Guidelines recommend earlier advance care planning discussions focused on
goals and values (serious illness communication) among oncology patients. We conducted …

Advance care planning improves psychological symptoms but not quality of life and preferred end-of-life care of patients with cancer

ST Tang, JS Chen, FH Wen, WC Chou… - Journal of the National …, 2019 - jnccn.org
Background: This study was conducted to examine whether a longitudinal advance care
planning (ACP) intervention facilitates concordance between the preferred and received life …