Patient-reported symptom profiles: A tool to direct palliative care referral.

Authors

null

Tara L. Kaufmann

Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA

Tara L. Kaufmann, Jesse Y. Hsu, Kelly D. Getz, Arif Kamal, Angela DeMichele

Organizations

Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, The Children's Hospital of Philadelphia, Philadelphia, PA, Duke Cancer Institute, Durham, NC

Research Funding

U.S. National Institutes of Health
U.S. National Institutes of Health.
Background: Both routine PRO monitoring and specialty palliative care are associated with a survival benefit in advanced cancer patients, yet the integration of these efforts has not been described. As PRO collection becomes standard of care, there is a need to understand how PROs may be leveraged to identify patients who could benefit from palliative care referral.

Methods: We applied latent profile analysis (LPA) to PROs from a national palliative care registry collected from 2008 – 2017 on 745 solid tumor patients at the time of initial outpatient palliative care visit. LPA is an established method to identify unobserved groups from variables of interest. We used patients’ responses to 11 questions across 4 palliative care domains (9 ESAS items and 2 items for social and existential distress) to generate “PRO profiles” and examined their clinical and demographic correlates using multinomial logistic regression.

Results: Four PRO profiles were identified using 9 ESAS items (Table). Young age, metastatic disease, and tumor type (including breast, GYN, GI) differed across PRO profiles compared to lung. Patients with PPS < 70% were 4.5 times more likely to be in the High vs. Low symptom profile compared to those with PPS > 70%. Subgroup analyses showed correlation of social and existential distress PROs with Mood and High profiles.

Conclusions: Cancer patients referred to outpatient palliative care can be differentiated into clinically meaningful PRO profiles using brief, routinely collected data in the real-world setting. PRO profiles provide richer data on patient needs compared to prognosis estimates or cancer stage, and synthesize big data for use in clinical practice and epidemiologic research. PRO profiles should include comprehensive palliative domains and be tested as screening thresholds for palliative care referral.

Profile

(prop)

Low

(.39)

Mood

+Pain/Fatigue

(.25)

Appetite

+Pain/Fatigue

(.27)

High

(.09)

Domain

PRO Item

Physical

Pain

3

6

5

7

SOB

1

2

4

5

Constipation

1

3

3

5

Tired

3

6

7

8

Nausea

1

2

3

6

Drowsiness

2

4

4

6

Appetite

2

4

6

7

Psychological

Depression

1

5

2

7

Anxiety

2

6

3

7

Subgroup Analysis

n = 421

Social

Family Burden

0.38

0.69

0.52

0.88

Spiritual

Not at Peace

0.33

0.86

0.53

0.73

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2019 Supportive Care in Oncology Symposium

Session Type

Poster Session

Session Title

Poster Session B

Track

Mental Health and Psychological Well-being,Psychosocial and Spiritual/Cultural Assessment and Management,Models of Care,Patient Reported Outcomes and Patient Experience,Prevention, Assessment, and Management of Disease and Treatment-related Symptoms,Prognostication ,Survivorship and Late Effects of Cancer

Sub Track

Patient Reported Outcomes and Patient Experience

Citation

J Clin Oncol 37, 2019 (suppl 31; abstr 93)

DOI

10.1200/JCO.2019.37.31_suppl.93

Abstract #

93

Poster Bd #

B10

Abstract Disclosures

Similar Abstracts

First Author: Tara L. Kaufmann

First Author: Rubina Ratnaparkhi