Statistical inference through estimation: Recommendations from the International Society of Physiotherapy Journal Editors

Elkins, Mark R.; Pinto, Rafael Zambelli; Verhagen, Arianne P.; Grygorowicz, Monika; Söderlund, Anne; Guémann, Matthieu; Gómez–Conesa, Antonia; Blanton, Sarah; Brismée, Jean‐Michel; Agarwal, Shabnam; Jette, Alan M.; Karstens, Sven; Harms, Michèle; Verheyden, Geert; Sheikh, Umer

doi:10.1016/j.bjpt.2021.100387

Brazilian Journal of Physical Therapy

2022

DOI: 10.1016/j.bjpt.2021.100387

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Statistical inference through estimation: Recommendations from the International Society of Physiotherapy Journal Editors

Mark R. Elkins

Rafael Zambelli Pinto

Arianne P. Verhagen

et al.

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Cited by 3 publications

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Supervised Exercise Therapy Reduces Presenteeism to Greater Extent Than Unsupervised Self-Care in Workers with Musculoskeletal Pain: a Systematic Review and Meta-Analysis

Takasaki,

Ozawa,

Kondo

et al. 2023

J Occup Rehabil

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Supervised Exercise Therapy Reduces Presenteeism to Greater Extent Than Unsupervised Self-Care in Workers with Musculoskeletal Pain: a Systematic Review and Meta-Analysis

Takasaki,

Ozawa,

Kondo

et al. 2023

J Occup Rehabil

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Confirmation of the Unidimensionality of the Satisfaction and Recovery Index Among Those With Various Musculoskeletal Disorders

Takasaki,

Ishida

2024

Cureus

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Background A semistructured patient-reported outcome measure (PROM) wherein patients rate the importance of structured items and the magnitude of the psychometric properties to be investigated (e.g., disability and satisfaction) facilitates patient engagement in their treatment and patient-centered clinical practice. The Satisfaction and Recovery Index (SRI) is one such semistructured PROM that was originally developed to measure recovery from a whiplash injury. Exploratory factor analysis demonstrated a one-factor structure among ambulatory community-dwelling people with traumatic musculoskeletal injuries. However, a confirmatory factor analysis has not been conducted among patients with various musculoskeletal disorders, and the internal structure of the SRI has not been established yet. Thus, this study aimed to investigate the internal structure of the SRI among patients with diverse musculoskeletal disorders. Methodology An anonymous survey was performed for patients who were referred for physical therapy for musculoskeletal disorders at a local orthopedic clinic. A confirmatory factor analysis was conducted. The goodness-of-fit criteria were as follows: chi-square/degree of freedom < 3, goodness-of-fit index > 0.90, adjusted goodness-of-fit index > 0.95, and root mean square error of approximation < 0.08. Results Data from 217 participants were analyzed. All goodness-of-fit criteria were satisfied. Conclusion This study confirmed the acceptable internal structure of the SRI among patients with diverse musculoskeletal disorders.

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Responsiveness of the P4, Patient Specific Functional Scale 2.0, Satisfaction and Recovery Index, and SF-12 in Patients With Musculoskeletal Disorders

Takasaki,

Handa,

Chiba

et al. 2024

Cureus

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BackgroundRecently, estimation of intervention effects has been recommended using minimum important change (MIC). This study aimed to investigate the responsiveness of the four-item pain intensity measure (P4), Patient Specific Functional Scale 2.0 (PSFS 2.0), Satisfaction and Recovery Index (SRI), and physical (PCS) and mental component summary (MCS) scores of the SF-12v2 ® Health Survey Acute (QualityMetric Inc. & Fukuhara S, Kyoto) in patients with musculoskeletal disorders and to estimate their MICs. MethodologyData of outpatients receiving musculoskeletal physical therapy were collected using a survey in multi-center cohorts. The participants completed the first survey before their first physical therapy session and the second survey after the third to seventh sessions. Responsiveness was assessed by investigating the area under the receiver operating characteristic curve (AUC) and by investigating prior hypotheses with correlations between change scores. In the former method, the AUCs of the measures were calculated for discriminating improved cases (i.e., 11-point Global Rating of Change Scale (GRCS) ≥ 2) and non-improved cases (i.e., GRCS < 2). The MIC scores were estimated with GRCS using the predictive modeling method. ResultsData from 100 participants were analyzed. The PSFS 2.0 satisfied both acceptable responsiveness criteria, the P4 and SRI satisfied the moderate responsiveness criterion of the construct approach only, and the PCS and MCS satisfied both poor responsiveness criteria. The MICs were 1. 64, 2.92, 6.16, 4.49, and 1.67 for the P4, PSFS 2.0, SRI, and PCS and MCS scores, respectively. ConclusionThe PSFS 2.0 has acceptable responsiveness and can be used to determine treatment effects in clinical practice, while the P4 and SRI can also be used in some cases.

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Statistical inference through estimation: Recommendations from the International Society of Physiotherapy Journal Editors

Cited by 3 publications

References 33 publications

Supervised Exercise Therapy Reduces Presenteeism to Greater Extent Than Unsupervised Self-Care in Workers with Musculoskeletal Pain: a Systematic Review and Meta-Analysis

Supervised Exercise Therapy Reduces Presenteeism to Greater Extent Than Unsupervised Self-Care in Workers with Musculoskeletal Pain: a Systematic Review and Meta-Analysis

Confirmation of the Unidimensionality of the Satisfaction and Recovery Index Among Those With Various Musculoskeletal Disorders

Responsiveness of the P4, Patient Specific Functional Scale 2.0, Satisfaction and Recovery Index, and SF-12 in Patients With Musculoskeletal Disorders

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