Does Telerehabilitation Help in Reducing Disability among People with Musculoskeletal Conditions? A Preliminary Study

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Abstract

Introduction: During the coronavirus pandemic, an initiative was launched in Saudi Arabia to provide telerehabilitation for people with musculoskeletal conditions who were unable to access in-person physiotherapy due to the associated lockdown. The purpose of this study was to explore the therapeutic impact and acceptability of telerehabilitation among the Saudi population. Methods: Ninety-five participants were recruited through an online advertisement and received a physiotherapy consultation and interventions via an online video conference platform (Google Meet). Following screening for red flags, participants received tailored education and conditioning exercises 2–3 times a week for 6 weeks. Outcome measures were recorded at baseline and 6 weeks and comprised the Pain Self-Efficacy Questionnaire, Patient-Specific Functional Scale, Musculoskeletal Health Questionnaire and a satisfaction survey. Results: The most frequent musculoskeletal conditions reported were lower back (37%), knee (14%) and neck (10%) pain and post-operative conditions (15%). Participants showed significant improvements in outcomes at the end of the program (p < 0.001) with effect sizes ranging from 0.6 to −1.9 and reported a high level of satisfaction with the telerehabilitation intervention. Conclusion: This study showed that telerehabilitation was an acceptable method of providing physiotherapy interventions for patients with musculoskeletal conditions in Saudi Arabia.

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

Daniël Lakens (2013)

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.

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Telehealth Transformation: COVID-19 and the rise of Virtual Care

Jedrek Wosik, Marat Fudim, Blake Cameron … (2020)

Abstract The novel coronavirus disease-19 (COVID-19) pandemic has altered our economy, society and healthcare system. While this crisis has presented the US healthcare delivery system with unprecedented challenges, the pandemic has catalyzed rapid adoption of telehealth or the entire spectrum of activities used to deliver care at a distance. Using examples reported by US healthcare organizations including ours, we describe the role telehealth has played in transforming healthcare delivery during the three phases of the US COVID-19 pandemic: 1) Stay-at-Home Outpatient Care; 2) Initial COVID-19 Hospital Surge, and 3) Post-Pandemic Recovery. Within each of these three phases, we examine how people, process and technology work together to support a successful telehealth transformation. Whether healthcare enterprises are ready or not, the new reality is that virtual care has arrived.

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The pain self-efficacy questionnaire: Taking pain into account.

Adeline Nicholas (2007)

Self-efficacy beliefs in people with chronic pain have been assessed either by reference to confidence in ability to perform specific tasks or to confidence in performing more generalised constructs like coping with pain. Both approaches reflect aspects of the original conceptualisations of self-efficacy and both have proved useful, but it is noteworthy that confidence in performing activities in the context of pain is rarely addressed. An important element in the original formulations of self-efficacy referred to persistence in the face of obstacles and aversive experiences. In this context, self-efficacy beliefs for people experiencing chronic pain might be expected to incorporate not just the expectation that a person could perform a particular behaviour or task, but also their confidence in being able to do it despite their pain. This aspect of the self-efficacy construct has been included in a measure for people with chronic pain, the Pain Self-Efficacy Questionnaire (PSEQ). The accumulated evidence from a number of published studies and a confirmatory analysis with a large cohort of heterogeneous chronic pain patients attending a pain management program provide support for the PSEQ's original psychometric properties developed with a sample of chronic low back pain patients. The importance of taking the context of pain into account in the assessment of self-efficacy beliefs in pain populations and the ways in which this measure can be used to improve the assessment of people experiencing chronic pain, before and after treatment, are examined.