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Fang YY, Ackerman IN, Page R, Harris IA, Cashman K, Lorimer M, Heath E, Soh SE. Measurement Properties of the Oxford Shoulder Score and Minimal Clinically Important Changes After Primary Total Shoulder Replacement Surgery. Arthritis Care Res (Hoboken) 2024; 76:895-903. [PMID: 38258339 DOI: 10.1002/acr.25304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 11/19/2023] [Accepted: 01/18/2024] [Indexed: 01/24/2024]
Abstract
OBJECTIVE We evaluated the measurement properties of the Oxford Shoulder Score (OSS) and estimated the minimal clinically important change (MCIC) in patients undergoing primary total shoulder replacement in Australia. METHODS Deidentified data from the Australian Orthopaedic Association National Joint Replacement Registry were used for this analysis. Pre- and 6-month postoperative OSS scores were used, with the 5-level EuroQoL quality of life instrument and shoulder pain scores used as comparators. Floor and ceiling effects, internal consistency reliability, construct validity, and responsiveness to change were evaluated using standard psychometric methods. Mean change and predictive modeling approaches (with and without adjustment for the proportion of improved patients) were used to calculate MCIC thresholds, with patient-perceived improvement after surgery as the anchor. RESULTS Preoperative OSS data were available for 1,117 patients (59% female; 90% aged ≥60 years) undergoing primary total shoulder replacement. No floor or ceiling effects were observed pre- or postoperatively. The OSS showed high internal consistency reliability (Cronbach alpha >0.89), good construct validity, and high responsiveness to change (effect size 1.88). The MCIC derived from the mean change method was 6.50 points (95% confidence interval [95% CI] 4.41-8.61). The predictive modeling approach produced an MCIC estimate of 8.42 points (95% CI 5.68-12.23) after adjustment. CONCLUSION The OSS has good measurement properties to capture pain and function outcomes after shoulder replacement procedures and is highly responsive to change. Based on robust methods, an increase in OSS scores of at least eight points can be considered as meaningful improvement after surgery from the patient's perspective.
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Affiliation(s)
- Yi Ying Fang
- Monash University, Melbourne, Victoria, Australia
| | | | - Richard Page
- St John of God Hospital and Deakin University, Geelong, Victoria, Australia, and Australian Orthopaedic Association National Joint Replacement Registry, Adelaide, South Australia, Australia
| | - Ian A Harris
- University of New South Wales Sydney, Sydney, New South Wales, Australia
| | - Kara Cashman
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Michelle Lorimer
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Emma Heath
- Monash University, Melbourne, Victoria, Australia, and South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Sze-Ee Soh
- Monash University, Melbourne, Victoria, Australia
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Baudendistel ST, Haussler AM, Rawson KS, Earhart GM. Minimal clinically important differences of spatiotemporal gait variables in Parkinson disease. Gait Posture 2024; 108:257-263. [PMID: 38150946 PMCID: PMC10878409 DOI: 10.1016/j.gaitpost.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/18/2023] [Accepted: 11/21/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND Assessment of gait function in People with Parkinson Disease (PwPD) is an important tool for monitoring disease progression in PD. While comprehensive gait analysis has become increasingly popular, only one study, Hass et al. (2014), has established minimal clinically important differences (MCID) for one spatiotemporal variable (velocity) in PwPD. RESEARCH QUESTION What are the MCIDs for velocity and additional spatiotemporal variables, including mean, variability, and asymmetry of step length, time, and width? METHODS As part of a larger clinic-based initiative, 382 medicated, ambulatory PwPD walked on an instrumented walkway during routine clinical visits. Distribution and anchor-based methods (Unified Parkinson's Disease Rating Scale-III, Modified Hoehn and Yahr, and the mobility subsection of the Parkinson Disease Questionnaire) were used to calculate MCIDs for variables of interest in a cross-sectional approach. RESULTS Distribution measures for all variables are presented. Of nine gait variables, four were significantly associated with every anchor and pooled to the following values: velocity (8.2 cm/s), step length mean (3.6 cm), step length variability (0.7%), and step time variability (0.67%). SIGNIFICANCE The finalized MCID for velocity (8.2 cm/s) was nearly half of the MCID of 15 cm/s reported by Hass et al., potentially due to differences in calculations. These results allow for evaluations of effectiveness of interventions by providing values that are specific to changes in gait for PwPD. Alterations of methodology including different versions of clinical or walking assessments, and/or different calculation and selection of gait variables necessitate careful reasoning when using presented MCIDs.
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Affiliation(s)
- Sidney T Baudendistel
- Program in Physical Therapy, Washington University School of Medicine in St. Louis, United States
| | - Allison M Haussler
- Program in Physical Therapy, Washington University School of Medicine in St. Louis, United States
| | - Kerri S Rawson
- Program in Physical Therapy, Washington University School of Medicine in St. Louis, United States; Department of Neurology, Washington University School of Medicine in St. Louis, United States
| | - Gammon M Earhart
- Program in Physical Therapy, Washington University School of Medicine in St. Louis, United States; Department of Neurology, Washington University School of Medicine in St. Louis, United States; Department of Neuroscience, Washington University School of Medicine in St. Louis, United States.
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Galvin A, Soubeyran P, Brain E, Cheung KL, Hamaker ME, Kanesvaran R, Mauer M, Mohile S, Montroni I, Puts M, Rostoft S, Wildiers H, Mathoulin-Pélissier S, Bellera C. Assessing patient-reported outcomes (PROs) and patient-related outcomes in randomized cancer clinical trials for older adults: Results of DATECAN-ELDERLY initiative. J Geriatr Oncol 2024; 15:101611. [PMID: 37679204 DOI: 10.1016/j.jgo.2023.101611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 08/01/2023] [Accepted: 08/23/2023] [Indexed: 09/09/2023]
Abstract
As older adults with cancer are underrepresented in randomized clinical trials (RCT), there is limited evidence on which to rely for treatment decisions for this population. Commonly used RCT endpoints for the assessment of treatment efficacy are more often tumor-centered (e.g., progression-free survival). These endpoints may not be as relevant for the older patients who present more often with comorbidities, non-cancer-related deaths, and treatment toxicity. Moreover, their expectation and preferences are likely to differ from younger adults. The DATECAN-ELDERLY initiative combines a broad expertise, in geriatric oncology and clinical research, with interest in cancer RCT that include older patients with cancer. In order to guide researchers and clinicians coordinating cancer RCT involving older patients with cancer, the experts reviewed the literature on relevant domains to assess using patient-reported outcomes (PRO) and patient-related outcomes, as well as available tools related to these domains. Domains considered relevant by the panel of experts when assessing treatment efficacy in RCT for older patients with cancer included functional autonomy, cognition, depression and nutrition. These were based on published guidelines from international societies and from regulatory authorities as well as minimum datasets recommended to collect in RCT including older adults with cancer. In addition, health-related quality of life, patients' symptoms, and satisfaction were also considered by the panel. With regards to tools for the assessment of these domains, we highlighted that each tool has its own strengths and limitations, and very few had been validated in older adults with cancer. Further studies are thus needed to validate these tools in this specific population and define the minimum clinically important difference to use when developing RCTs in this population. The selection of the most relevant tool should thus be guided by the RCT research question, together with the specific properties of the tool.
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Affiliation(s)
- Angéline Galvin
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, Epicene team, UMR 1219, Bordeaux, France
| | - Pierre Soubeyran
- Univ. Bordeaux, Inserm, UMR 1312, SIRIC BRIO, France; Department of medical oncology, Bergonie Institute, Comprehensive Cancer Center, Bordeaux, France
| | - Etienne Brain
- Department of Medical Oncology, Institut Curie/Saint-Cloud, Saint-Cloud, France
| | - Kwok-Leung Cheung
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Marije E Hamaker
- Department of Geriatric Medicine, Diakonessenhuis Utrecht/ Zeist/Doorn, Zeist, the Netherlands
| | | | - Murielle Mauer
- Statistics Department, European Organization for Research and Treatment of Cancer, Brussels, Belgium
| | - Supriya Mohile
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, United States
| | - Isacco Montroni
- Division of Colorectal Surgery, Ospedale Santa Maria delle Croci, Ravenna, Italy
| | - Martine Puts
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Canada
| | - Siri Rostoft
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hans Wildiers
- Department of General Medical Oncology and Multidisciplinary Breast Centre, University Hospitals Leuven, Leuven Cancer Institute, Belgium
| | - Simone Mathoulin-Pélissier
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, Epicene team, UMR 1219, Bordeaux, France; INSERM CIC1401, Clinical and Epidemiological Research Unit, Bergonie Institute, Comprehensive Cancer Center, F-33000 Bordeaux, France
| | - Carine Bellera
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, Epicene team, UMR 1219, Bordeaux, France; INSERM CIC1401, Clinical and Epidemiological Research Unit, Bergonie Institute, Comprehensive Cancer Center, F-33000 Bordeaux, France.
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Wang Y, Devji T, Carrasco-Labra A, King MT, Terluin B, Terwee CB, Walsh M, Furukawa TA, Guyatt GH. A step-by-step approach for selecting an optimal minimal important difference. BMJ 2023; 381:e073822. [PMID: 37236647 DOI: 10.1136/bmj-2022-073822] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Affiliation(s)
- Yuting Wang
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Tahira Devji
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Alonso Carrasco-Labra
- Department of Preventive and Restorative Sciences; Center for Integrative Global Oral Health, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Madeleine T King
- School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Berend Terluin
- Vrije Universiteit Medical Centre Amsterdam, Department of General Practice, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Methodology, Amsterdam, Netherlands
| | - Caroline B Terwee
- Vrije Universiteit Medical Centre Amsterdam, Department of Epidemiology and Data Science, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Methodology, Amsterdam, Netherlands
| | - Michael Walsh
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences/McMaster University, Hamilton, ON, Canada
| | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Gordon H Guyatt
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
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Madden K. CORR Insights®: Discordance Abounds in Minimum Clinically Important Differences in THA: A Systematic Review. Clin Orthop Relat Res 2023; 481:715-716. [PMID: 36735583 PMCID: PMC10013653 DOI: 10.1097/corr.0000000000002582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 01/10/2023] [Indexed: 02/04/2023]
Affiliation(s)
- Kim Madden
- Department of Surgery, McMaster University, Hamilton, ON, Canada
- Research Institute of St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
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Hirt J, Schönenberger CM, Ewald H, Lawson DO, Papola D, Rohner R, Suter K, Lin S, Germini F, Zeng L, Shahabinezhad A, Chowdhury SR, Gao Y, Bhattacharjee A, Lima JP, Marusic A, Buljan I, Agarwal A, Guyatt GH, Briel M, Schandelmaier S. Introducing the Library of Guidance for Health Scientists (LIGHTS): A Living Database for Methods Guidance. JAMA Netw Open 2023; 6:e2253198. [PMID: 36787138 DOI: 10.1001/jamanetworkopen.2022.53198] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/15/2023] Open
Abstract
IMPORTANCE Improving methodological quality is a priority in the health research community. Finding appropriate methods guidance can be challenging due to heterogeneous terminology, poor indexing in medical databases, and variation in formats. The Library of Guidance for Health Scientists (LIGHTS) is a new searchable database for methods guidance articles. OBSERVATIONS Journal articles that aim to provide guidance for performing (including planning, design, conduct, analysis, and interpretation), reporting, and assessing the quality of health-related research involving humans or human populations (ie, excluding basic and animal research) are eligible for LIGHTS. A team of health researchers, information specialists, and methodologists continuously identifies and manually indexes eligible guidance documents. The search strategy includes focused searches of specific journals, specialized databases, and suggestions from researchers. A current limitation is that a keyword-based search of MEDLINE (and other general databases) and manual screening of records were not feasible because of the large number of hits (n = 915 523). As of September 20, 2022, LIGHTS included 1246 articles (336 reporting guidelines, 80 quality assessment tools, and 830 other methods guidance articles). The LIGHTS website provides a user-oriented search interface including filters for study type, specific methodological topic, research context, guidance type, and development process of the guidance. Automated matching of alternative methodological expressions (eg, enter loss to follow-up and find articles indexed with missing data) enhances search queries. CONCLUSIONS AND RELEVANCE LIGHTS is a peer-supported initiative that is intended to increase access to and use of methods guidance relevant to health researchers, statisticians, methods consultants, methods developers, ethics boards, peer reviewers, journal editors, and funding bodies.
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Affiliation(s)
- Julian Hirt
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- International Graduate Academy, Institute for Health and Nursing Science, Medical Faculty, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Nursing Science, Department of Health, Eastern Switzerland University of Applied Sciences, St. Gallen
| | - Christof Manuel Schönenberger
- CLEAR (Clinical Research Empirical Assessment and Recommendations) Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Hannah Ewald
- University Medical Library, University of Basel, Basel, Switzerland
| | - Daeria O Lawson
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Davide Papola
- WHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neuroscience, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, Verona, Italy
| | - Ramon Rohner
- CLEAR (Clinical Research Empirical Assessment and Recommendations) Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Katja Suter
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Shanshan Lin
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Federico Germini
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Linan Zeng
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Pharmacy Department/Evidence-Based Pharmacy Center, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Ali Shahabinezhad
- University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Saifur Rahman Chowdhury
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Ya Gao
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Arunima Bhattacharjee
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Swiss TPH (Tropical and Public Health Institute), University of Basel, Basel, Switzerland
| | - João Pedro Lima
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Ana Marusic
- Department of Research in Biomedicine and Health, Center for Evidence-Based Medicine, University of Split School of Medicine, Split, Croatia
| | - Ivan Buljan
- Department of Research in Biomedicine and Health, Center for Evidence-Based Medicine, University of Split School of Medicine, Split, Croatia
| | - Arnav Agarwal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Gordon H Guyatt
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Matthias Briel
- CLEAR (Clinical Research Empirical Assessment and Recommendations) Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Stefan Schandelmaier
- CLEAR (Clinical Research Empirical Assessment and Recommendations) Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
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