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      Listening to the elephant in the room: response-shift effects in clinical trials research

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          Abstract

          Background

          While a substantial body of work postulates that adaptation (response-shift effects) may serve to hide intervention benefits, much of the research was conducted in observational studies, not randomized-controlled trials. This scoping review identified all clinical trials that addressed response shift phenomena, and characterized how response-shift effects impacted trial findings.

          Methods

          A scoping review was done of the medical literature from 1968 to 2021 using as keywords “response shift” and “clinical trial.” Articles were included if they were a clinical trial that explicitly examined response-shift effects; and excluded if they were not a clinical trial, a full report, or if response shift was mentioned only in the discussion. Clinical-trials papers were then reviewed and retained in the scoping review if they focused on randomized participants, showed clear examples of response shift, and used reliable and valid response-shift detection methods. A synthesis of review results further characterized the articles’ design characteristics, samples, interventions, statistical power, and impact of response-shift adjustment on treatment effect.

          Results

          The search yielded 2148 unique references, 25 of which were randomized-controlled clinical trials that addressed response-shift effects; 17 of which were retained after applying exclusion criteria; 10 of which were adequately powered; and 7 of which revealed clinically-important response-shift effects that made the intervention look significantly better.

          Conclusions

          These findings supported the presumption that response shift phenomena obfuscate treatment benefits, and revealed a greater intervention effect after integrating response-shift related changes. The formal consideration of response-shift effects in clinical trials research will thus not only improve estimation of treatment effects, but will also integrate the inherent healing process of treatments.

          Key points

          • This scoping review supported the presumption that response shift phenomena obfuscate treatment benefits and revealed a greater intervention effect after integrating response-shift related changes.

          • The formal consideration of response-shift effects in clinical trials research will not only improve estimation of treatment effects but will also integrate the inherent healing process of treatments.

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          Most cited references52

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          PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

          Scoping reviews, a type of knowledge synthesis, follow a systematic approach to map evidence on a topic and identify main concepts, theories, sources, and knowledge gaps. Although more scoping reviews are being done, their methodological and reporting quality need improvement. This document presents the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) checklist and explanation. The checklist was developed by a 24-member expert panel and 2 research leads following published guidance from the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network. The final checklist contains 20 essential reporting items and 2 optional items. The authors provide a rationale and an example of good reporting for each item. The intent of the PRISMA-ScR is to help readers (including researchers, publishers, commissioners, policymakers, health care providers, guideline developers, and patients or consumers) develop a greater understanding of relevant terminology, core concepts, and key items to report for scoping reviews.
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            A power primer.

            One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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              Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation.

              A number of studies have computed the minimally important difference (MID) for health-related quality of life instruments. To determine whether there is consistency in the magnitude of MID estimates from different instruments. We conducted a systematic review of the literature to identify studies that computed an MID and contained sufficient information to compute an effect size (ES). Thirty-eight studies fulfilled the criteria, resulting in 62 ESs. For all but 6 studies, the MID estimates were close to one half a SD (mean = 0.495, SD = 0.155). There was no consistent relationship with factors such as disease-specific or generic instrument or the number of response options. Negative changes were not associated with larger ESs. Population-based estimation procedures and brief follow-up were associated with smaller ESs, and acute conditions with larger ESs. An explanation for this consistency is that research in psychology has shown that the limit of people's ability to discriminate over a wide range of tasks is approximately 1 part in 7, which is very close to half a SD. In most circumstances, the threshold of discrimination for changes in health-related quality of life for chronic diseases appears to be approximately half a SD.
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                Author and article information

                Contributors
                carolyn.schwartz@deltaquest.org
                Journal
                J Patient Rep Outcomes
                J Patient Rep Outcomes
                Journal of Patient-Reported Outcomes
                Springer International Publishing (Cham )
                2509-8020
                30 September 2022
                30 September 2022
                December 2022
                : 6
                : 105
                Affiliations
                [1 ]GRID grid.417398.0, DeltaQuest Foundation, Inc., ; 31 Mitchell Road, Concord, MA 01742 USA
                [2 ]GRID grid.429997.8, ISNI 0000 0004 1936 7531, Departments of Medicine and Orthopaedic Surgery, , Tufts University Medical School, ; Boston, MA USA
                [3 ]GRID grid.240871.8, ISNI 0000 0001 0224 711X, Department of Epidemiology and Cancer Control, , St. Jude Children’s Research Hospital, ; Memphis, TN USA
                [4 ]GRID grid.23048.3d, ISNI 0000 0004 0417 6230, Department of Clinical Research Sorlandet Hospital, Faculty of Health and Sport Sciences, , University of Agder, ; Kristiansand, Norway
                [5 ]GRID grid.83440.3b, ISNI 0000000121901201, Marie Curie Palliative Care Research Department, Division of Psychiatry, , University College London, ; London, England
                [6 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Department of Orthopaedic Surgery, , Johns Hopkins University School of Medicine, ; Baltimore, MD USA
                Author information
                http://orcid.org/0000-0002-9173-7774
                http://orcid.org/0000-0002-1194-3923
                http://orcid.org/0000-0002-8538-7237
                http://orcid.org/0000-0002-2598-4427
                Article
                510
                10.1186/s41687-022-00510-6
                9525509
                36178598
                613a3b2a-2a8f-4118-93c8-3565a5e7e1f4
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 April 2022
                : 13 September 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                response shift,clinical trials,scoping review,outcomes
                response shift, clinical trials, scoping review, outcomes

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