Literature DB >> 34338855

Congruence of pain perceptions between Black cancer patients and their family caregivers.

Katherine A Yeager1,2, Haerim Lee3, Jinbing Bai3,4, Sudeshna Paul3, Kalisha Bonds Johnson3, Drenna Waldrop3.   

Abstract

PURPOSE: This cross-sectional study evaluated congruence in pain assessment among Black cancer patients taking opioids for pain and their family caregivers and the effects of patient-reported depressive symptoms and cognitive complaints on the congruence.
METHODS: Patient-reported pain scores (current, average, and worst pain severity and pain interference) and caregiver proxy scores were independently assessed (Brief Pain Inventory). Patient-reported depressive symptoms (Patient Health Questionnaire-8) and cognitive complaints (Cognitive Difficulties Scale) were also assessed. Paired t-test, intraclass correlation coefficient (ICC), and Bland-Altman (BA) plots were used to evaluate group and dyad level congruence in pain assessment. The influence of patient depressive symptoms and cognitive complaints on congruence was examined using bivariate analyses and BA plots.
RESULTS: Among 50 dyads, 62% of patients and 56% of caregivers were female. Patients were older than caregivers (57 vs. 50 years, p = .008). Neither statistically significant (t-test) nor clinically relevant mean differences in pain severity and interference were found at a group level. At the dyad level, congruence was poor in pain now (ICC = 0.343) and average pain severity (ICC = 0.435), but moderate in worst pain severity (ICC = 0.694) and pain interference (ICC = 0.603). Results indicated better congruence in pain severity between patients with depressive symptoms and their caregivers, compared to patients without depressive symptoms. Patient CDS scores had no significant correlations with score differences between patients and caregivers in any pain variables.
CONCLUSION: Congruence varied depending on how the analysis was done. More information is needed to understand pain assessment between patients and caregivers.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Cancer; Congruence; Dyad; Pain

Mesh:

Year:  2021        PMID: 34338855      PMCID: PMC9332883          DOI: 10.1007/s00520-021-06448-7

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.359


  37 in total

Review 1.  Time to take stock: a meta-analysis and systematic review of analgesic treatment disparities for pain in the United States.

Authors:  Salimah H Meghani; Eeeseung Byun; Rollin M Gallagher
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2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Cognitive complaints in closed-head injury: relationship to memory test performance and emotional disturbance.

Authors:  C S Gass; C Apple
Journal:  J Clin Exp Neuropsychol       Date:  1997-04       Impact factor: 2.475

4.  Fatigue in Advanced Cancer Patients: Congruence Between Patients and Their Informal Caregivers About Patients' Fatigue Severity During Cancer Treatment With Palliative Intent and Predictors of Agreement.

Authors:  Hanneke Poort; Marlies E W J Peters; Marieke F M Gielissen; Constans A H H V M Verhagen; Gijs Bleijenberg; Winette T A van der Graaf; Alison J Wearden; Hans Knoop
Journal:  J Pain Symptom Manage       Date:  2016-05-24       Impact factor: 3.612

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

6.  Predictors of depression among older African American cancer patients.

Authors:  Mansi Agarwal; Jill B Hamilton; Charles E Moore; Jamie L Crandell
Journal:  Cancer Nurs       Date:  2010 Mar-Apr       Impact factor: 2.592

7.  Preference for analgesic treatment for cancer pain among African Americans.

Authors:  Salimah H Meghani; Anne Keane
Journal:  J Pain Symptom Manage       Date:  2007-05-25       Impact factor: 3.612

8.  Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations.

Authors:  Robert H Dworkin; Dennis C Turk; Kathleen W Wyrwich; Dorcas Beaton; Charles S Cleeland; John T Farrar; Jennifer A Haythornthwaite; Mark P Jensen; Robert D Kerns; Deborah N Ader; Nancy Brandenburg; Laurie B Burke; David Cella; Julie Chandler; Penny Cowan; Rozalina Dimitrova; Raymond Dionne; Sharon Hertz; Alejandro R Jadad; Nathaniel P Katz; Henrik Kehlet; Lynn D Kramer; Donald C Manning; Cynthia McCormick; Michael P McDermott; Henry J McQuay; Sanjay Patel; Linda Porter; Steve Quessy; Bob A Rappaport; Christine Rauschkolb; Dennis A Revicki; Margaret Rothman; Kenneth E Schmader; Brett R Stacey; Joseph W Stauffer; Thorsten von Stein; Richard E White; James Witter; Stojan Zavisic
Journal:  J Pain       Date:  2007-12-11       Impact factor: 5.820

9.  Utilization of brief pain inventory as an assessment tool for pain in patients with cancer: a focused review.

Authors:  Senthil P Kumar
Journal:  Indian J Palliat Care       Date:  2011-05

Review 10.  Understanding Bland Altman analysis.

Authors:  Davide Giavarina
Journal:  Biochem Med (Zagreb)       Date:  2015-06-05       Impact factor: 2.313

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