Literature DB >> 35130492

Randomized Trial of a Palliative Care Intervention to Improve End-of-Life Care Discussions in Patients With Metastatic Breast Cancer.

Joseph A Greer1,2, Beverly Moy1,2, Areej El-Jawahri1,2, Vicki A Jackson1,2, Mihir Kamdar1,2, Juliet Jacobsen1,2, Charlotta Lindvall2,3, Jennifer A Shin1,2, Simone Rinaldi1,2, Heather A Carlson1,2, Angela Sousa1,2, Emily R Gallagher1, Zhigang Li4, Samantha Moran5, Magaret Ruddy6, Maya V Anand7, Julia E Carp8, Jennifer S Temel1,2.   

Abstract

BACKGROUND: Studies show that early, integrated palliative care (PC) improves quality of life (QoL) and end-of-life (EoL) care for patients with poor-prognosis cancers. However, the optimal strategy for delivering PC for those with advanced cancers who have longer disease trajectories, such as metastatic breast cancer (MBC), remains unknown. We tested the effect of a PC intervention on the documentation of EoL care discussions, patient-reported outcomes, and hospice utilization in this population. PATIENTS AND METHODS: Patients with MBC and clinical indicators of poor prognosis (n=120) were randomly assigned to receive an outpatient PC intervention (n=61) or usual care (n=59) between May 2, 2016, and December 26, 2018, at an academic cancer center. The intervention entailed 5 structured PC visits focusing on symptom management, coping, prognostic awareness, decision-making, and EoL planning. The primary outcome was documentation of EoL care discussions in the electronic health record (EHR). Secondary outcomes included patient-report of discussions with clinicians about EoL care, QoL, and mood symptoms at 6, 12, 18, and 24 weeks after baseline and hospice utilization.
RESULTS: The rate of EoL care discussions documented in the EHR was higher among intervention patients versus those receiving usual care (67.2% vs 40.7%; P=.006), including a higher completion rate of a Medical Orders for Life-Sustaining Treatment form (39.3% vs 13.6%; P=.002). Intervention patients were also more likely to report discussing their EoL care wishes with their doctor (odds ratio [OR], 3.10; 95% CI, 1.21-7.94; P=.019) and to receive hospice services (OR, 4.03; 95% CI, 1.10-14.73; P=.035) compared with usual care patients. Study groups did not differ in patient-reported QoL or mood symptoms.
CONCLUSIONS: This PC intervention significantly improved rates of discussion and documentation regarding EoL care and delivery of hospice services among patients with MBC, demonstrating that PC can be tailored to address the supportive care needs of patients with longer disease trajectories. ClinicalTrials.gov identifier: NCT02730858.

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Year:  2022        PMID: 35130492      PMCID: PMC8830600          DOI: 10.6004/jnccn.2021.7040

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  44 in total

1.  Pattern of care at the end of life: does age make a difference in what happens to women with breast cancer?

Authors:  Bruno Gagnon; Nancy E Mayo; James Hanley; Neil MacDonald
Journal:  J Clin Oncol       Date:  2004-07-26       Impact factor: 44.544

2.  Dying in America: improving quality and honoring individual preferences near the end of life.

Authors: 
Journal:  Mil Med       Date:  2015-04       Impact factor: 1.437

3.  Early palliative care for patients with metastatic non-small-cell lung cancer.

Authors:  Jennifer S Temel; Joseph A Greer; Alona Muzikansky; Emily R Gallagher; Sonal Admane; Vicki A Jackson; Constance M Dahlin; Craig D Blinderman; Juliet Jacobsen; William F Pirl; J Andrew Billings; Thomas J Lynch
Journal:  N Engl J Med       Date:  2010-08-19       Impact factor: 91.245

4.  Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records.

Authors:  Alexander W Forsyth; Regina Barzilay; Kevin S Hughes; Dickson Lui; Karl A Lorenz; Andrea Enzinger; James A Tulsky; Charlotta Lindvall
Journal:  J Pain Symptom Manage       Date:  2018-02-27       Impact factor: 3.612

5.  Reliability and validity of the Functional Assessment of Cancer Therapy-Breast quality-of-life instrument.

Authors:  M J Brady; D F Cella; F Mo; A E Bonomi; D S Tulsky; S R Lloyd; S Deasy; M Cobleigh; G Shiomoto
Journal:  J Clin Oncol       Date:  1997-03       Impact factor: 44.544

6.  Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative Surgery.

Authors:  Charlotta Lindvall; Elizabeth J Lilley; Sophia N Zupanc; Isabel Chien; Brooks V Udelsman; Anne Walling; Zara Cooper; James A Tulsky
Journal:  J Palliat Med       Date:  2018-10-17       Impact factor: 2.947

7.  Retrospective evaluation of palliative care and hospice utilization in hospitalized patients with metastatic breast cancer.

Authors:  Jennifer A Shin; Amanda Parkes; Areej El-Jawahri; Lara Traeger; Helen Knight; Emily R Gallagher; Jennifer S Temel
Journal:  Palliat Med       Date:  2016-03-15       Impact factor: 4.762

8.  Defining the Elements of Early Palliative Care That Are Associated With Patient-Reported Outcomes and the Delivery of End-of-Life Care.

Authors:  Michael Hoerger; Joseph A Greer; Vicki A Jackson; Elyse R Park; William F Pirl; Areej El-Jawahri; Emily R Gallagher; Teresa Hagan; Juliet Jacobsen; Laura M Perry; Jennifer S Temel
Journal:  J Clin Oncol       Date:  2018-02-23       Impact factor: 44.544

9.  Change in Survival in Metastatic Breast Cancer with Treatment Advances: Meta-Analysis and Systematic Review.

Authors:  Jennifer L Caswell-Jin; Sylvia K Plevritis; Lu Tian; Christopher J Cadham; Cong Xu; Natasha K Stout; George W Sledge; Jeanne S Mandelblatt; Allison W Kurian
Journal:  JNCI Cancer Spectr       Date:  2018-12-24

10.  Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.

Authors:  Ravi B Parikh; Christopher Manz; Corey Chivers; Susan Harkness Regli; Jennifer Braun; Michael E Draugelis; Lynn M Schuchter; Lawrence N Shulman; Amol S Navathe; Mitesh S Patel; Nina R O'Connor
Journal:  JAMA Netw Open       Date:  2019-10-02
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