Literature DB >> 29155290

Factors Associated With Attrition in a Multicenter Longitudinal Observational Study of Patients With Advanced Cancer.

Pedro E Perez-Cruz1, Omar Shamieh2, Carlos Eduardo Paiva3, Jung Hye Kwon4, Mary Ann Muckaden5, Eduardo Bruera6, David Hui7.   

Abstract

CONTEXT: Attrition is common in longitudinal observational studies in palliative care. Few studies have examined predictors of attrition.
OBJECTIVES: To identify patient characteristics at enrollment associated with attrition in palliative oncology outpatient setting.
METHODS: In this longitudinal observational study, advanced cancer patients enrolled in an outpatient multicenter study were assessed at baseline and two to five weeks later. We compared baseline characteristics between patients who returned for follow-up and those who dropped out.
RESULTS: Seven hundred forty-four patients were enrolled from Jordan, Brazil, Chile, Korea, and India. Attrition rate was 33%, with variation among countries (22%-39%; P = 0.023). In univariate analysis, baseline predictors for attrition were cognitive failure (odds ratio [OR] 1.23 per point in Memorial Delirium Assessment Scale; P < 0.01), functional status (OR 1.55 per 10-point decrease in Karnofsky Performance Status; P < 0.01), Edmonton Symptom Assessment Scale [ESAS] physical score (OR 1.03 per point; P < 0.01), ESAS emotional score (OR 1.05 per point; P < 0.01), and shorter duration between cancer diagnosis and palliative care referral in months (OR 0.89 per log; P = 0.028). In multivariate analysis, cognitive failure (OR 1.12 per point; P = 0.007), ESAS physical score (OR 1.18 per point; P = 0.027), functional status (OR 1.35 per 10-point decrease; P < 0.001), and shorter duration from cancer diagnosis (OR 0.86 per log; P = 0.01) remained independent predictors of attrition.
CONCLUSION: Advanced cancer patients with cognitive failure, increased physical symptoms, poorer performance status, and shorter duration from cancer diagnosis were more likely to dropout. These results have implications for research design, patient selection, and data interpretation in longitudinal observational studies.
Copyright © 2017 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Palliative care; attrition; longitudinal study; oncology; outpatient

Mesh:

Year:  2017        PMID: 29155290      PMCID: PMC5834396          DOI: 10.1016/j.jpainsymman.2017.11.009

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  29 in total

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2.  Minimal Clinically Important Difference in the Physical, Emotional, and Total Symptom Distress Scores of the Edmonton Symptom Assessment System.

Authors:  David Hui; Omar Shamieh; Carlos Eduardo Paiva; Odai Khamash; Pedro Emilio Perez-Cruz; Jung Hye Kwon; Mary Ann Muckaden; Minjeong Park; Joseph Arthur; Eduardo Bruera
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Authors:  Anna L Gravier; Omar Shamieh; Carlos Eduardo Paiva; Pedro Emilio Perez-Cruz; Mary Ann Muckaden; Minjeong Park; Eduardo Bruera; David Hui
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