Literature DB >> 17157759

Pain assessment tools: is the content appropriate for use in palliative care?

Jacob Chr Hølen1, Marianne Jensen Hjermstad, Jon Håvard Loge, Peter M Fayers, Augusto Caraceni, Franco De Conno, Karen Forbes, Carl Johan Fürst, Lukas Radbruch, Stein Kaasa.   

Abstract

Inadequate pain assessment prevents optimal treatment in palliative care. The content of pain assessment tools might limit their usefulness for proper pain assessment, but data on the content validity of the tools are scarce. The objective of this study was to examine the content of the existing pain assessment tools, and to evaluate the appropriateness of different dimensions and items for pain assessment in palliative care. A systematic search was performed to find pain assessment tools for patients with advanced cancer who were receiving palliative care. An ad hoc search with broader search criteria supplemented the systematic search. The items of the identified tools were allocated to appropriate dimensions. This was reviewed by an international panel of experts, who also evaluated the relevance of the different dimensions for pain assessment in palliative care. The systematic literature search generated 16 assessment tools while the ad hoc search generated 64. Ten pain dimensions containing 1,011 pain items were identified by the experts. The experts ranked intensity, temporal pattern, treatment and exacerbating/relieving factors, location, and interference with health-related quality of life as the most important dimensions. None of the assessment tools covered these dimensions satisfactorily. Most items were related to interference (231) and intensity (138). Temporal pattern (which includes breakthrough pain), ranked as the second most important dimension, was covered by 29 items only. Many tools include dimensions and items of limited relevance for patients with advanced cancer. This might reduce compliance and threaten the validity of the assessment. New tools should reflect the clinical relevance of different dimensions and be user-friendly.

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Year:  2006        PMID: 17157759     DOI: 10.1016/j.jpainsymman.2006.05.025

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


  14 in total

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2.  Comparative responsiveness of pain measures in cancer patients.

Authors:  Kurt Kroenke; Dale Theobald; Jingwei Wu; Wanzhu Tu; Erin E Krebs
Journal:  J Pain       Date:  2012-07-15       Impact factor: 5.820

3.  The effectiveness of a self-reporting bedside pain assessment tool for oncology inpatients.

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Journal:  J Palliat Med       Date:  2012-09-13       Impact factor: 2.947

Review 4.  Measurement of Chronic Pain and Opioid Use Evaluation in Community-Based Persons with Serious Illnesses.

Authors:  Kathleen Puntillo; Ramana K Naidu
Journal:  J Palliat Med       Date:  2017-11-01       Impact factor: 2.947

5.  Interviews with patients with advanced cancer--another step towards an international cancer pain classification system.

Authors:  Anne Kari Knudsen; Nina Aass; Ellen Heitzer; Pål Klepstad; Marianne Jensen Hjermstad; Walter Schippinger; Elisabeth Brenne; Stein Kaasa; Elisabet Wasteson
Journal:  Support Care Cancer       Date:  2012-01-18       Impact factor: 3.603

Review 6.  The challenges of assessing osteoarthritis and postoperative pain in dogs.

Authors:  Michele Sharkey
Journal:  AAPS J       Date:  2013-03-02       Impact factor: 4.009

7.  An examination of adherence to pain medication plans in older cancer patients in hospice care.

Authors:  Sara Sanders; Keela A Herr; Perry G Fine; Catherine Fiala; Xiongwen Tang; Chris Forcucci
Journal:  J Pain Symptom Manage       Date:  2012-07-26       Impact factor: 3.612

8.  Development of a novel location-based assessment of sensory symptoms in cancer patients: preliminary reliability and validity assessment.

Authors:  Adam R Burkey; Peter A Kanetsky
Journal:  J Pain Symptom Manage       Date:  2008-12-06       Impact factor: 3.612

9.  Comparison of numerical and verbal rating scales to measure pain exacerbations in patients with chronic cancer pain.

Authors:  Cinzia Brunelli; Ernesto Zecca; Cinzia Martini; Tiziana Campa; Elena Fagnoni; Michela Bagnasco; Luigi Lanata; Augusto Caraceni
Journal:  Health Qual Life Outcomes       Date:  2010-04-22       Impact factor: 3.186

10.  Development of an item bank for computerized adaptive test (CAT) measurement of pain.

Authors:  Morten Aa Petersen; Neil K Aaronson; Wei-Chu Chie; Thierry Conroy; Anna Costantini; Eva Hammerlid; Marianne J Hjermstad; Stein Kaasa; Jon H Loge; Galina Velikova; Teresa Young; Mogens Groenvold
Journal:  Qual Life Res       Date:  2015-08-13       Impact factor: 4.147

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