Literature DB >> 15003986

Patient preferences for acute pain treatment.

T J Gan1, D A Lubarsky, E M Flood, T Thanh, J Mauskopf, T Mayne, C Chen.   

Abstract

BACKGROUND: Optimal treatment for acute pain is a function of an individual's willingness to make trade-offs between treatment side effects and pain control. The objective was to investigate the degree to which patients are willing to make these trade-offs.
METHODS: Fifty patients undergoing major abdominal surgery were enrolled and completed interviews before and after surgery. Measures included an experience with pain questionnaire and an adaptive conjoint analysis (ACA) interview.
RESULTS: Percentage of pain relief obtained post-surgery was between 70 and 80%. Eight-two per cent reported at least one moderate or severe side effect. ACA results demonstrated that pain efficacy and side effect type/severity have almost equal 'importance' scores. Patients varied in their willingness to trade-off pain efficacy for different or milder side effects.
CONCLUSIONS: We conclude that people have different relative preferences for different side effects and are willing to trade-off pain relief for less upsetting and/or less severe side effects but to different degrees. Thus, physicians should consider offering pain medications with fewer side effects than narcotics as a first choice. Our study indicates the need to balance analgesia and side effects in order for patients to achieve optimal pain control.

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Mesh:

Year:  2004        PMID: 15003986     DOI: 10.1093/bja/aeh123

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  25 in total

1.  [An empirical analysis of patients' preference of setting for outpatient arthroscopic surgery].

Authors:  D L B Schwappach; T J Strasmann
Journal:  Chirurg       Date:  2006-02       Impact factor: 0.955

2.  Changes in Pain Score Associated With Clinically Meaningful Outcomes in Children With Acute Pain.

Authors:  Daniel S Tsze; Gerrit Hirschfeld; Carl L von Baeyer; Leonor E Suarez; Peter S Dayan
Journal:  Acad Emerg Med       Date:  2019-02-19       Impact factor: 3.451

3.  Estimating importance weights for the IWQOL-Lite using conjoint analysis.

Authors:  A Brett Hauber; Ateesha F Mohamed; F Reed Johnson; Olatoye Oyelowo; Bradley H Curtis; Cheryl Coon
Journal:  Qual Life Res       Date:  2010-03-04       Impact factor: 4.147

Review 4.  Complexities of Perioperative Pain Management in Orthopedic Trauma.

Authors:  Daniel H Wiznia; Theodore Zaki; Michael P Leslie; Thomas M Halaszynski
Journal:  Curr Pain Headache Rep       Date:  2018-07-10

5.  Accounting for tastes: a German perspective on the inclusion of patient preferences in healthcare.

Authors:  Florian Vogt; David L B Schwappach; John F P Bridges
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

6.  Methodologic evaluation of adaptive conjoint analysis to assess patient preferences: an application in oncology.

Authors:  Arwen H Pieterse; Anne M Stiggelbout; Corrie A M Marijnen
Journal:  Health Expect       Date:  2010-12       Impact factor: 3.377

7.  Multiple sclerosis patients' benefit-risk preferences: serious adverse event risks versus treatment efficacy.

Authors:  F Reed Johnson; George Van Houtven; Semra Ozdemir; Steve Hass; Jeff White; Gordon Francis; David W Miller; J Theodore Phillips
Journal:  J Neurol       Date:  2009-04-27       Impact factor: 4.849

8.  Patient-reported quality of care and pain severity in cancer.

Authors:  Kathryn A Martinez; Claire F Snyder; Jennifer L Malin; Sydney M Dy
Journal:  Palliat Support Care       Date:  2014-06-26

Review 9.  Discrete choice experiments in health economics: a review of the literature.

Authors:  Michael D Clark; Domino Determann; Stavros Petrou; Domenico Moro; Esther W de Bekker-Grob
Journal:  Pharmacoeconomics       Date:  2014-09       Impact factor: 4.981

Review 10.  Post-Thoracotomy Pain: Current Strategies for Prevention and Treatment.

Authors:  Ruchir Gupta; Thomas Van de Ven; Srinivas Pyati
Journal:  Drugs       Date:  2020-11       Impact factor: 9.546

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