Literature DB >> 22180337

Achievement of personalized pain goal in cancer patients referred to a supportive care clinic at a comprehensive cancer center.

Shalini Dalal1, David Hui, Linh Nguyen, Ray Chacko, Cheryl Scott, Lynn Roberts, Eduardo Bruera.   

Abstract

BACKGROUND: Cancer pain initiatives recommend using the personalized pain goal to tailor pain management. This study was conducted to examine the feasibility and stability of personalized pain goal, and how it compares to the clinical pain response criteria.
METHODS: Records of 465 consecutive cancer patients seen in consultation at the Supportive Care Clinic were reviewed. Pain relief was assessed as clinical response (≥30% or ≥2 point pain reduction) and personalized pain goal response (pain ≤ personalized pain goal).
RESULTS: One hundred fifty-two (34%), 95 (21%), and 163 (37%) patients presented with mild (1-4), moderate (5-6), and severe (7-10) pain, respectively. Median age (59 years), males (52%), and advanced cancer status (84%) did not differ by pain category. Median personalized pain goal at initial clinic consult was 3 (interquartile range, 2-3), was similar across pain groups, and remained unchanged (P = .57) at follow-up (median, 14 days). Clinical response was higher among patients with severe pain (60%) as compared with moderate (40%) and mild pain (33%, P < .001). Personalized pain goal response was higher among patients with mild pain (63%) as compared with moderate (44%) and severe pain (27%, P < .001). By using personalized pain goal response as the gold standard for pain relief, the sensitivity of clinical response was highest (98%) among patients with severe pain, but it had low specificity (54%). In patients with mild pain, clinical response was most specific for pain relief (98%), but had low sensitivity (52%).
CONCLUSIONS: Personalized pain goal is a simple patient-reported outcome for pain goals. The majority of patients were capable of stating their desired level for pain relief. The median personalized pain goal was 3, and it was highly stable at follow-up assessment.
Copyright © 2011 American Cancer Society.

Entities:  

Mesh:

Year:  2011        PMID: 22180337      PMCID: PMC3310943          DOI: 10.1002/cncr.26694

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  45 in total

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2.  Management of cancer symptoms: pain, depression, and fatigue.

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Journal:  Pain       Date:  2000-12-01       Impact factor: 6.961

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  27 in total

Review 1.  The Edmonton Symptom Assessment System 25 Years Later: Past, Present, and Future Developments.

Authors:  David Hui; Eduardo Bruera
Journal:  J Pain Symptom Manage       Date:  2016-12-29       Impact factor: 3.612

2.  Pain management index (PMI)-does it reflect cancer patients' wish for focus on pain?

Authors:  Morten Thronæs; Trude Rakel Balstad; Cinzia Brunelli; Erik Torbjørn Løhre; Pål Klepstad; Ola Magne Vagnildhaug; Stein Kaasa; Anne Kari Knudsen; Tora Skeidsvoll Solheim
Journal:  Support Care Cancer       Date:  2019-07-09       Impact factor: 3.603

3.  Personalized goal for insomnia and clinical response in advanced cancer patients.

Authors:  Sebastiano Mercadante; Claudio Adile; Federica Aielli; Lanzetta Gaetano; Kyriaki Mistakidou; Marco Maltoni; Andrea Cortegiani; Luiz Guilherme Soares; Stefano De Santis; Patrizia Ferrera; Marta Rosati; Romina Rossi; Alessandra Casuccio
Journal:  Support Care Cancer       Date:  2019-06-12       Impact factor: 3.603

4.  Patterns of Opioid Prescription, Use, and Costs Among Patients With Advanced Cancer and Inpatient Palliative Care Between 2008 and 2014.

Authors:  Sriram Yennurajalingam; Zhanni Lu; Suresh K Reddy; EdenMae C Rodriguez; Kristy Nguyen; Marie J Waletich-Flemming; Kyu-Hyoung Lim; Aksha Memon; Nhu-Nhu Nguyen; Kristy W Rofheart; Guoqin Wang; Srikanth Reddy Barla; Jimin Wu; Janet L Williams; Eduardo Bruera
Journal:  J Oncol Pract       Date:  2018-11-29       Impact factor: 3.840

Review 5.  A personalized approach to assessing and managing pain in patients with cancer.

Authors:  David Hui; Eduardo Bruera
Journal:  J Clin Oncol       Date:  2014-05-05       Impact factor: 44.544

6.  Effect of Apoyo con Cariño (Support With Caring) Trial of a Patient Navigator Intervention to Improve Palliative Care Outcomes for Latino Adults With Advanced Cancer: A Randomized Clinical Trial.

Authors:  Stacy M Fischer; Danielle M Kline; Sung-Joon Min; Sonia Okuyama-Sasaki; Regina M Fink
Journal:  JAMA Oncol       Date:  2018-12-01       Impact factor: 31.777

7.  Reply to minimal clinically important difference and Edmonton Symptom Assessment Scale.

Authors:  David Hui; Eduardo Bruera
Journal:  Cancer       Date:  2015-09-18       Impact factor: 6.860

8.  Personalized symptom goals and response in patients with advanced cancer.

Authors:  David Hui; Minjeong Park; Omar Shamieh; Carlos Eduardo Paiva; Pedro Emilio Perez-Cruz; Mary Ann Muckaden; Eduardo Bruera
Journal:  Cancer       Date:  2016-03-11       Impact factor: 6.860

9.  Personalized Symptom Goals and Patient Global Impression on Clinical Changes in Advanced Cancer Patients.

Authors:  Sebastiano Mercadante; Claudio Adile; Gaetano Lanzetta; Kyriaki Mystakidou; Marco Maltoni; Luiz Guilherme Soares; Stefano De Santis; Patrizia Ferrera; Marco Valenti; Marta Rosati; Romina Rossi; Andrea Cortegiani; Francesco Masedu; Franco Marinangeli; Federica Aielli
Journal:  Oncologist       Date:  2018-05-16

10.  Opioid use and effectiveness of its prescription at discharge in an acute pain relief and palliative care unit.

Authors:  Sebastiano Mercadante; Giovanna Prestia; Maurizio Ranieri; Antonello Giarratano; Alessandra Casuccio
Journal:  Support Care Cancer       Date:  2013-02-12       Impact factor: 3.603

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