3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Do patients’ pre-treatment expectations about acupuncture effectiveness predict treatment outcome in patients with chronic low back pain? A secondary analysis of data from a randomised controlled clinical trial

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective

          This secondary analysis of a randomised controlled patient-blinded trial comparing effectiveness and side effect briefings in patients with chronic low back pain (CLBP) investigated the association between patients’ pre-treatment expectations about minimal acupuncture treatment and pain intensity as outcome during and after the end of the treatment.

          Methods

          Chronic low back pain patients with a pain intensity of at least 4 on a numeric rating scale from 0 to 10 received eight sessions of minimal acupuncture treatment over 4 weeks. The primary outcome was change in pain intensity rated on a Numerical Rating Scale (NRS 0–10) from inclusion visit to treatment session 4 and to the end of the treatment. Patients’ expectations about the effectiveness of acupuncture were assessed using the Expectation for Treatment Scale (ETS) before randomization. Linear regression was applied to investigate whether patients’ pre-treatment expectations predicted changes in pain intensity during and after treatment.

          Results

          A total of 142 CLBP patients (40.1 ± 12.5 years; 65.5% female) were included in our analysis. Patients’ pre-treatment expectations about acupuncture treatment were associated with changes in pain intensity after four sessions of minimal acupuncture treatment ( b = -0.264, p = 0.002), but not after the end of the treatment. This association was found in females and males.

          Conclusions

          Our results imply that higher pre-treatment expectations only lead to larger reductions in pain intensity in the initial phase of a treatment, with a similar magnitude for both females and males. As the treatment progresses in the second half of the treatment, adapted expectations or other non-specific effects might play a more important role in predicting treatment outcome.

          Related collections

          Most cited references57

          • Record: found
          • Abstract: not found
          • Article: not found

          World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

          (2013)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

            Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

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

              A consensus meeting was convened by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) to provide recommendations for interpreting clinical importance of treatment outcomes in clinical trials of the efficacy and effectiveness of chronic pain treatments. A group of 40 participants from universities, governmental agencies, a patient self-help organization, and the pharmaceutical industry considered methodologic issues and research results relevant to determining the clinical importance of changes in the specific outcome measures previously recommended by IMMPACT for 4 core chronic pain outcome domains: (1) Pain intensity, assessed by a 0 to 10 numerical rating scale; (2) physical functioning, assessed by the Multidimensional Pain Inventory and Brief Pain Inventory interference scales; (3) emotional functioning, assessed by the Beck Depression Inventory and Profile of Mood States; and (4) participant ratings of overall improvement, assessed by the Patient Global Impression of Change scale. It is recommended that 2 or more different methods be used to evaluate the clinical importance of improvement or worsening for chronic pain clinical trial outcome measures. Provisional benchmarks for identifying clinically important changes in specific outcome measures that can be used for outcome studies of treatments for chronic pain are proposed. Systematically collecting and reporting the recommended information needed to evaluate the clinical importance of treatment outcomes of chronic pain clinical trials will allow additional validation of proposed benchmarks and provide more meaningful comparisons of chronic pain treatments.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draft
                Role: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 May 2022
                2022
                : 17
                : 5
                : e0268646
                Affiliations
                [1 ] Institute for Complementary and Integrative Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
                [2 ] Institute for Social Medicine, Epidemiology and Health Economics, Charité–Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
                [3 ] Center for Integrative Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America
                Monash University, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-1308-5918
                https://orcid.org/0000-0001-7096-7178
                Article
                PONE-D-21-29423
                10.1371/journal.pone.0268646
                9122231
                35594274
                7eee0fb3-4ca5-4231-a2ab-9820ac4ae6d6
                © 2022 Zieger et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 September 2021
                : 14 April 2022
                Page count
                Figures: 2, Tables: 2, Pages: 15
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung;
                Award ID: 105319_159833.
                Award Recipient :
                The project was funded by the Swiss National Science Foundation ( https://data.snf.ch/grants?q=159833), Grant Number 105319_159833. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Pain
                Medicine and Health Sciences
                Complementary and Alternative Medicine
                Acupuncture
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Pain
                Lower Back Pain
                Research and Analysis Methods
                Research Design
                Clinical Research Design
                Adverse Events
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Regression Analysis
                Linear Regression Analysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Regression Analysis
                Linear Regression Analysis
                Medicine and Health Sciences
                Oncology
                Cancer Treatment
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Physicians
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Physicians
                Medicine and Health Sciences
                Health Care
                Patients
                Custom metadata
                We will upload our data on OSF and provide the relevant data once the paper is accepted. We already created a link to OSF where the data will be then uploaded. https://osf.io/rhju3/?view_only=f16351c3ecb44dc5a22043df8429196f.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article