The use of telephone and video consultations in upper limb musculoskeletal rehabilitation: A scoping review

Abstract

Introduction

In 2020, the COVID-19 pandemic caused a rapid uptake of virtual consultations (VCs) to minimise disease transmission and for this reason, research into telerehabilitation has been expanding. This review aimed to map and synthesize evidence on the use of VCs in upper limb musculoskeletal rehabilitation, describe key characteristics, and identify gaps in the research.

Methods

This scoping review investigated synchronous rehabilitation consultations performed over VC. All asynchronous, wearable or pre-recorded technology was excluded. CINAHL Complete, Medline, PEDro, Google Scholar and grey literature sources were searched. Screening and data extraction were done by a single researcher. Frequency counts were used to analyse the data.

Results

Nineteen studies were identified, with patients with shoulder injury/pain most frequently studied. Most sources (n = 9) used bespoke video programmes. Range of motion (ROM) was the most common assessment (n = 10) and exercise prescription (n = 7) was the most common treatment. Benefits included time and cost savings, maintaining therapeutic relationships and increasing patient independence. Most diagnostic assessments, except joint and nerve tension tests, were found to be reliable and valid. Studies noted increased function in activities, decreased pain and increased ROM after VCs. Limitations included restricted ‘hands-on’ treatment, resource and training concerns and limiting patient factors.

Conclusions

This review mapped available evidence and identified several gaps in the literature. Further robust research into VCs for hand/wrist disorders, ROM assessment and cost-effectiveness is needed.

Introduction

Outpatient hand therapy and musculoskeletal (MSK) physiotherapy departments play an ever-increasing role in the management of upper limb (UL) MSK diagnoses.¹ Historically, most outpatient services were delivered in person. However, many patients struggle to access rehabilitation due to costs, travel distances and mobility restrictions.² As a result, there has been a movement towards using technology to improve the accessibility of these services by incorporating telerehabilitation.^3,4

Telerehabilitation is defined as the provision of rehabilitation services at a distance using telecommunication technology.⁵ This can be synchronous (in real time) or asynchronous (pre-recorded or automatic) and involves the use of technology such as telephone and video-conferencing platforms or virtual reality.⁵ In this review, virtual consultations (VCs) included telephone and/or video consultations that are performed in real-time between the patient and the therapist.

Prior to 2020, the UK’s National Health Service (NHS) included telerehabilitation in their Five Year Forward View and Long-Term Plan.^3,4 Although these recommendations were in place, the uptake of VCs was still slow within rehabilitation.⁶ However, with the beginning of the COVID-19 pandemic in March 2020, all outpatient departments in the UK were instructed to convert most sessions to VCs in order to minimise disease transmission and protect patients and staff.⁷ Therefore, the global pandemic brought about a rapid uptake of VCs.

Research into the use of VCs has identified comparable treatment outcomes, fair patient and therapist satisfaction and evidence for cost savings across multiple disciplines^8–10 and within MSK rehabilitation.^11,12 However, researchers noted that there is limited, heterogenous and weak to moderate level evidence for the use of VCs in the management of patients with upper limb conditions.¹³ Therefore, a scoping review was deemed more appropriate than a systematic review.

The objective of this scoping review was to map and synthesize the evidence of how VCs have been used in upper limb MSK rehabilitation, describe trends and key characteristics, as well as to identify gaps in the research base.

Review question

How have VCs been used in outpatient upper limb MSK rehabilitation? Questions that were addressed included:

1. How have VCs been delivered and structured within upper limb MSK rehabilitation?

a. What target groups of patients have been studied?

b. What type of technology has been used?

c. What assessment and treatment tools are commonly used?

2. What are the reported benefits and limitations of upper limb MSK VCs from a therapist’s perspective?

3. What are the reported benefits and limitations of upper limb MSK VCs from a patient’s perspective?

4. Are upper limb MSK VCs comparable to face-to-face sessions in terms of the following?

a. Assessment reliability and validity

b. Health outcomes

c. System-level outcomes

Methods

This scoping review was conducted in accordance with the guidance published by the Johanna Briggs Institute (JBI)¹⁴ and the PRISMA-ScR Checklist.¹⁵ Scoping reviews are useful when the information on a topic has not yet been comprehensively reviewed^16,17 as they provide a rigorous and transparent method of mapping out the information in order to allow policy-makers and practitioners easy access to the information.¹⁸

Eligibility criteria

This review investigated studies of adults (18 years+) involved in telerehabilitation for upper limb MSK diagnoses, including occupational therapists, physiotherapists or patients. Synchronous telerehabilitation sessions, with two-way, real-time communication, performed over any internet programme were included.

This scoping review focused on empirical evidence only, including a range of study designs. Systematic reviews were checked to ensure all relevant articles were included. Studies with applicable discrete data which could be clearly separated from the whole study were included in the analysis. Grey literature, including conference presentations, was included. Text and opinion papers, trial registries and protocols were excluded.

In order to obtain a view of how research into this topic has developed over the last few years, this study did not set a date limit. Any international studies were included, provided that they were published in English. Any studies investigating diagnoses other than upper limb MSK diagnoses were excluded, as were any studies that investigated asynchronous information sharing, virtual reality (VR) games or wearable devices. This was because the structure of information provision, feedback and personalisation of rehabilitation tasks in virtual and face-to-face consultations is generally similar, whereas pre-recorded or web-based information is not individualised. Additionally, VR tasks were considered to have a different structure from traditional rehabilitation sessions.

Search strategy

An initial search of CINAHL, MEDLINE, Google Scholar and The Cochrane Library was undertaken from February to March 2021 to identify relevant articles, useful search keywords and MeSH terms, and to identify journals for hand searching. The text words contained in the titles, abstracts and index terms were used to develop a full search strategy (included in supplementary materials).

The databases searched were CINAHL Complete, Medline, PEDro and Google Scholar. Sources of grey literature included PROSPERO, Open Science Framework and Ethos. If any relevant protocols were found, an attempt was made to request the full paper and/or results. Backwards and forward citation searching of relevant articles’ reference lists was performed and, when needed, authors were contacted for clarification.

The Journal of Hand Therapy, Hand Therapy, International Journal of Telerehabilitation and Journal of Telemedicine and Telecare (JTT) were hand searched. The search strategy, including all identified keywords and index terms, was adapted for each included database and/or information source as necessary.

Source of evidence screening and selection

Following the search, the relevant citations were collated into Endnote™ 20 (Clarivate Analytics, USA) and duplicates were removed. The titles and abstracts were initially screened by the first author (AM) for assessment against the inclusion criteria. Following this, AM assessed the selected full texts against the inclusion criteria before a second reviewer (SW) carried out a calibration exercise. SW randomly sampled 10% of the full texts (n = 2), checked these against the inclusion criteria and confirmed the selection of the sampled articles.

Data extraction

Data were extracted by the first author (AM) using a specifically developed data extraction tool, based on the JBI template¹⁴ and adjusted to include findings pertaining to the specific review questions.

The data extraction tool was modified and revised as necessary. The review questions guided the development of categories (eg. “Assessment tools used”) and sub-categories were added in an iterative process when they were presented in the studies (DASH, sensory testing etc). See supplementary materials for the original and completed tool.

Critical appraisal of included sources

Each study was ascribed a JBI Level of Evidence and Grade of Recommendation¹⁹ (Table 1). While this is often not included in the guidelines for scoping reviews,^14,18 it has been suggested that critical appraisal can allow for a clearer picture of the quality of evidence available and the priorities for future research.²⁰

Table 1.

Included sources of evidence characteristics.


Scoping review details	Inclusion/Exclusion criteria			Details and characteristics						Critical appraisal
Author	Population	Concept	Context	Type of evidence	Country	Partici-pants	Outcome measured			JBI level of evidence
Author	Population	Concept	Context	Type of evidence	Country	Partici-pants	Health Outcomes, System-level outcomes	Assessment reliability/validity	Patient/therapist experience	JBI level of evidence
Eriksson et al 2009³⁴	Patients with a shoulder joint replacement	Virtual consultations	Post-operative rehabilitation	Non-randomised controlled study	Sweden	25 Patients	√			2c Effectiveness
Eriksson, Lindstrom and Ekenberg, 2011³⁵	Patients with a shoulder joint replacement	Virtual consultations	Post-operative rehabilitation	Qualitative interviews	Sweden	10 Patients			√	3 Meaningfulness
Gilbert, Jaggi and May, 2019³¹	Patients with atraumatic shoulder instability and treating clinicians	Virtual consultations	Post-operative rehabilitation	Qualitative interviews	UK	16 Patients and 9 Clinicians			√	3 Meaningfulness
Ivy et al. 2021²¹	Hand therapists	Hand therapy practice (including the use of video/telephone consultations)	During COVID-19	Cross-sectional mixed methods survey	USA	719 Clinicians			√	4b Effectiveness
Lade et al. 2012²⁷	Patients with an elbow injury or pain	Virtual consultations	Assessment and diagnosis of elbow disorders	Validity and Reliability study	Australia	11 Patients		√		2c Effectiveness
Malliaras et al. 2020²⁸	Patients with rotator cuff-related shoulder pain (RCRSP)	Virtual consultations with recommended care	Rehabilitation for RCRSP	Pilot and feasibility RCT	Australia	36 Patients	√			1c Effectiveness
McMullen, 2012³²	Patient with complex hand injury	Virtual consultations	Rehabilitation for hand injury	Case study	UK	1 Patient	√			4d Effectiveness
McMullen et al. 2020³³	Hand therapists	Hand therapy practice (including the use of video/telephone consultations)	During COVID-19	Cross-sectional mixed methods survey	UK	51 Clinicians			√	3 Meaningfulness
Mehta, Kendal and Reasor, 2020²²	Healthy participants	Assessment of wrist ROM	Virtual Assessment	Reliability study	USA	54 participants		√		2c Effectiveness
Palm et al. 2021²³	Patients undergoing CMC arthroplasty or reverse total shoulder arthroplasty (rTSA)	Mix of virtual and in-person consultations	Post-operative rehabilitation	Non-randomised controlled study - Prospective QI initiative	USA	49 Patients	√			2c Effectiveness
Pastora-Bernal et al. 2018a³⁶	Patients with Subacromial impingement syndrome who underwent arthroscopic subacromial decompression	Virtual consultations	Post-operative rehabilitation	Randomised controlled study	Spain	18 Patients	√			1c Effectiveness
Pastora-Bernal et al. 2018b³⁷	Patients with Subacromial impingement syndrome who underwent arthroscopic subacromial decompression	Cost analysis of telerehabilitation	Post-operative rehabilitation	Cost Analysis Study	Spain	18 Patients		√		4 Economic Evaluation
Priganc et al. 2021²⁴	Hand therapists	Hand therapy practice (including the use of video/telephone consultations)	During COVID-19	Cross-sectional mixed methods survey	USA	378 Clinicians			√	4b Effectiveness
Steele et al. 2012²⁹	Patients with shoulder disorders	Virtual consultations	Assessment and diagnosis of shoulder disorders	Reliability and Validity study	Australia	22 Patients		√		2c Effectiveness
Szekeres and Valdes, 2020³⁸	Hand therapists	Virtual consultations	Hand therapy during the COVID-19 pandemic	Cross-sectional survey	Canada	819 Clinicians		√	√	4b Effectiveness
Tousignant et al. 2015³⁹	Patients with proximal humerus fractures	Virtual consultations	UL rehabilitation	Quasi-experimental study	Canada	21 Patients	√			2d Effectiveness
Turner, 2018²⁵	Patient with elbow pain	Virtual consultations	UL rehabilitation	Case study	USA	1 Patient	√			4d Effectiveness
Worboys et al. 2018³⁰	Patients with a hand injury	Virtual consultations	Assessment of hand injuries	Validity study	Australia	18 Patients			√	2c Effectiveness
Young, Young and MacDonald, 2021²⁶	Patient with shoulder pain	Virtual consultations	Assessment and diagnosis of a shoulder disorder	Case study	USA	1 Patient	√		√	4d Effectiveness

Data analysis

The data for VC delivery and structure (Q1) and comparability of VCs vs. face-to-face (Q4) were analysed with simple frequency analysis. The benefits and limitations of upper limb MSK VCs (Q2 & 3) were analysed by identifying key findings within the study results, creating a descriptive label (e.g. ‘no hands-on treatment’) and performing a frequency count of the times similar statements appeared in the texts.

Results

The systematic search was performed six times between 4^th April and 20^th October 2021 and records were identified from database searches (n = 104), hand searching (n = 12), citation searching (n = 11) and other sources (n = 8).

After duplicates were removed, 104 abstracts were screened and 77 excluded. After full-text screening of the remaining 27 articles, four were included only in part due to relevant discrete data. Eight further articles were excluded, of which two were protocol-only records. The authors were contacted via email, but no replies were received. Therefore, 19 studies overall were included in the data analysis (Figure 1).

Figure 1.

PRISMA 2020 Flow Diagram (Page et al., 2021).

The data from the 19 sources are summarised in Table 1.

Countries where studies were performed

Six studies were performed in the United States of America.^21–26 Four studies were performed in Australia^27–30 and three in the United Kingdom.^31–33 Two studies each were performed in Sweden,^34,35 Spain^36,37 and Canada.^38,39

Types of evidence sources included

Two RCTs were found,^28,36 which were the only studies appraised as Level 1c for effectiveness.¹⁹ Two qualitative studies (Meaningfulness: Level 3)^31,35 were included and only one cost-analysis study was found (Economic Evaluation: Level 4).³⁷ The most frequently performed were cross-sectional surveys (n = 4) and reliability and validity studies (n = 4), followed by quasi-experimental studies and case studies (n = 3). See Table 1 for respective JBI Levels of Evidence.¹⁹

Delivery and structure of virtual consultations

Most sources studied the use of video consultations versus face-to-face sessions (n = 16). Few studied the use of both telephone and video consultations (n = 3) and none studied telephone-only consultations. From the clinical perspective, this can be understood as it is much more difficult to determine a patient’s movement, function or healing without a visual component. Thomas et al.⁴⁰ also noted that videos enhance the therapeutic interaction by allowing gauging of non-verbal cues and visualising of physical signs.

Nine of the included sources used bespoke programme software, while fewer used well-known programmes such as Zoom (Zoom Video Communications, USA) (n = 3), Facetime (Apple Inc., USA) (n = 2) and Skype (Microsoft Corporation, USA) (n = 2). One study noted the use of various platforms³⁸ and four studies did not state which software was used.^24,33–35

Bespoke programmes were used because they incorporated specialised software^23,27,29 or because they had increased security.^25,30,39 While well-known programmes are easy to use and familiar to patients, there are concerns about their usability in telehealth provision as they may not meet national privacy and security standards, such as the EU’s General Data Protection Regulation.⁴¹ For healthcare providers, assurance that the software is secure aligns with legal requirements, as well as core ethical principles of using secure and effective communication methods.⁴²

The most frequent participants studied were patients with shoulder injuries or pain (n = 5) and rehabilitation therapists (n = 5), followed by joint replacements (n = 3). Elbow and hand pain/injuries were studied in two sources, while humerus fractures, joint instability and healthy participants were each studied in one source. See Table 1. Note that some studies included one or more participant groups (thus, n > 19).

Assessment and treatment tools used

Table 2 summarises the frequencies of assessment and treatment tools used. The most common assessment used was range of motion (n = 10), followed by numerical or visual analogue scales (n = 9) and observation (n = 5). This is unsurprising, as goniometers are cheap, accessible and ROM can give a reasonable indication of function.⁴³ The survey of 819 therapists³⁸ found that 52% of therapists measured ROM with a goniometer against the screen. Twenty percent used technology, such as screenshots or in-built goniometry tools, and 28% performed visual estimation of ROM.

Table 2.

Assessment and treatment tools.

Assessment tools
Name	Abbreviation	Frequency
Range of Motion	ROM	10
Visual Analogue or Numerical Rating Scales	VAS/NRS	9
Observation		5
Visual estimation of Range of Motion		3
Disabilities of the Arm, Shoulder and Hand	DASH	3
Quick Disabilities of the Arm, Shoulder and Hand	Quick-DASH	3
Special Orthopaedic Tests	SOTs	3
Patient-Specific Functional Scale	PSFS	2
Constant-Murley Score	CMS	2
Patient Satisfaction Assessment		2
Upper Limb Neural Tension Test	ULNTT	2
Sensory Testing		2
Self-palpation		2
Manual Muscle Testing	MMT	2
Self-applied Manual Muscle Testing	Self-applied MMT	2
Subjective Wound/Scar Assessment		2
Patient-rated Wrist/Hand Evaluation	PRWHE	1
Patient-rated Wrist Evaluation	PRWE	1
36 Item Short Form Survey for Health-related Quality of Life	H-R QoL SF-36	1
EuroQol 5D-5L	EQ 5D-5L	1
Shoulder rating questionnaire – Swedish version	SRQ-S	1
Shoulder Pain and Disability Index	SPADI	1
Veterans RAND-12 Item Health Survey	VR-12	1
Tampa Scale for Kinesiophobia	TSK	1
Upper Extremity Functional Index	UEFI	1
American Shoulder and Elbow Surgeon’s Shoulder Assessment	ASES	1
Global Rating of Change	GRC	1
Pain Catastrophising Scale	PCS	1
Pain Self-Efficacy Questionnaire	PSEQ	1
Short Form McGill Pain Questionnaire	SF-MPQ-2	1
Therapist Satisfaction Questionnaire		1
Health Satisfaction Questionnaire		1
Patient Education Scale		1
Grip/pinch Strength Dynamometer		1
Screening Tests		1
Oedema Measurements		1
Treatment Tools
Exercise		7
Patient Education		4
Activity Modification		4
Activities of Daily Living practice	ADL practice	2
Oedema Management		1
Scar Management		1
Sensory re-training		1
Joint protection principles		1
Advice regarding Orthosis use		1

While visual estimation has always been viewed with hesitancy, a reliability study by Hayes et al.⁴⁴ found fair to good inter- and intra-rater reliability of visual estimation. Mehta et al.²² also found that all visual estimations over VC were within five degrees of the goniometer measurement. However, this study only tested wrist flexion and extension, which can be more easily estimated. No included studies investigated the reliability and validity of using a goniometer held over the screen, despite it being commonly used.

The use of subjective patient-reported outcome measures (PROM) were reported frequently among the included sources. The visual analogue scale (VAS) and numerical rating scale (NRS) pain scales and Disabilities of the Arm, Shoulder and Hand (DASH) and Quick-DASH⁴⁵ were the most commonly used due to their speed, ease, effectiveness over VCs, and appropriateness for a range of UL diagnoses.

Prescribing exercise was the most common treatment (n = 7), followed by patient education and activity modification (n = 4 each).

Use of Virtual Consultations due to COVID-19

The 2020-2021 surveys^21,24,33,38 showed an increase in the use of VCs during the COVID-19 pandemic. During COVID-19, the percentage of therapists using VCs more than quadrupled, with the exception of the survey by Priganc et al.,²⁴ which was conducted after the first wave of COVID-19 (Figure 2). This indicated a gradual return to normal practice, albeit with higher VC use compared to pre-COVID-19. Therefore, it’s likely that therapists and managers may have been led by policies such as the UK’s Second Phase of the NHS Response,⁴⁶ to continue the use of VCs, while allowing for gradual increase of face-to-face contact.

Figure 2.

The use of virtual consultations due to COVID-19.

Ivy et al.²¹ and Priganc et al.²⁴ found that post-operative patients were more likely to receive in-person treatment during COVID-19, and non-traumatic, non-operative cases and patients over the age of 65 years were more likely to be seen virtually.

Ivy et al.²¹ found that of 294 respondents, only slightly more therapists reported receiving training on the use of VCs (n = 171) than those that did not (n = 123).

Benefits of virtual consultations

Two qualitative studies investigating patient experience both noted the decrease in travel costs and time as a benefit of VCs.^31,35 Patients also described feeling safe and secure in their home environment and reported that the therapeutic relationship was the same as, or better than, in-person sessions.^31,35 In Eriksson et al.,³⁵ patients reported the perception of having received more regular and immediate feedback from therapists, which assisted with moving from dependence to independence post-operatively. This is due to necessitating increased patient engagement to perform and self-manage their exercises and was echoed in a systematic qualitative review by Gilbert et al.,⁴⁷ which found that VCs change the dynamic of being a patient by transferring the responsibility of rehabilitation back to the patient. Therefore, the patient takes a more active role in their rehabilitation and experiences greater independence faster. Gilbert et al.³¹ found that therapists felt able to progress, advise and problem-solve appropriately over VCs. Therapists also enjoyed the unique opportunity to assess patients’ activities of daily living (ADLs) in their home environment. In two sources^21,24 therapists felt that telerehabilitation is ‘the future’ and could see it being incorporated into therapy long term.

Limitations of virtual consultations

The most frequent limitation noted by patients was that it was not ‘hands-on’ therapy.^31,35 This was echoed in three of the studies investigating therapist opinion.^21,31,33 Eriksson et al.³⁵ found that patients considered VCs as a useful supplement to in-person treatment, but not a replacement for it.

Therapists in two studies^24,33 reported that certain diagnoses, assessments or treatments, such as muscle strength measures or splinting, cannot be performed over VCs. Therefore, they felt that VCs were not as effective as in-person treatment.^24,31

Therapists also reported concerns about patient factors that could influence the success of VCs.³³ Key factors were patient anxiety, motivation levels and other mental health factors. Social risk factors, such as self-employment, financial limitations or reliance on family members to assist with technology set-up could cause difficulty with VCs. Therefore, many therapists would then see these patients in person.³³

Gilbert et al.³¹ found that many therapists believed the therapeutic relationship over VC was better when the patient was already known to the therapist and that therapists were more comfortable with offering both in-person and VCs. In two surveys^21,24 therapists stated concerns that VCs might replace in-person treatment completely.

Finally, therapists highlighted issues regarding access to and training for the technology used.^21,31,33

Comparability of VCs and face-to-face consultations

This review looked at whether VC outcomes were comparable to in-person treatment. This was divided into assessment reliability and validity, health outcomes and system-level outcomes.

Three sources found that diagnostic assessments performed over video were valid and comparable to in-person assessments.^27,29,30 These investigated the full assessment, including various outcome measures such as ROM, pain scales, patient-reported outcome measures (PROMs) and special orthopaedic tests (SOTs). Lade et al.²⁷ found high levels of validity (>68%) for all outcome measures performed over VCs, except nerve tension testing (NTT) and joint assessments, which Steele et al.³³ also noted as having poor agreement between in-person and VC.

Three sources^22,27,29 found significant intra-rater reliability between a range of in-person and video assessments. Two sources^22,29 found significant inter-rater reliability of assessments. Lade et al.²⁷ specifically noted that they found intra-rater percentage agreement (90%, p = 0.001) to be better than inter-rater agreement (64%, p = 0.11 non-significant) when measuring ROM over VC.

Generally, the health outcomes of the studies were positive, with improvements in ROM, ADL function and decreased pain most common.^{25,28,32,34,36,39} While three of the sources were case studies or not controlled,^25,32,39 both Eriksson et al.³⁴ and Pastora-Bernal et al.³⁶ were well-performed, low-bias controlled trials. They found pain, function and ROM to be either similar or significantly better than in-person treatment, therefore supporting the efficacy of VCs. Although Palm et al.²³ also stated this finding, their study had a high risk of bias and so should be interpreted with caution. Two studies^23,36 noted no significant difference between VC and in-person outcomes.

VCs were found to be a cost-effective intervention by Pastora-Bernal et al.³⁷ This was a high-quality cost-analysis study,³⁷ and supported within the greater MSK field.^48–50 However, it was a single study on post-operative shoulder injury, so further investigation of the economic implications of hand/wrist rehabilitation is needed.

See Table 3 for all outcomes.

Table 3.

Frequency of intervention outcomes.

Health outcomes of VCs	Frequency
Good patient satisfaction	7
Decreased pain	6
Improved ADL function	6
Increased ROM	4
No significant difference between VC and in-person outcomes	2
Increased strength	1
Improved hand function	1
Good therapist satisfaction	1
Improved patient quality of life	1
Improved adherence to exercise programme compared to in-person sessions	1
Assessment Outcomes	Frequency
Valid assessment compared to in-person sessions	3
Significant intra-rater reliability	3
Significant inter-rater reliability	3
Accurate diagnosis compared to in-person sessions	1
Intra-rater reliability better than inter-rater reliability for ROM assessment	1
System-level Outcomes	Frequency
Increased cost-effectiveness compared to in-person sessions	2
Use of guidelines to direct decision-making needed	1
Increased number of sessions compared to in-person sessions	1
Increased productivity – More patients over time	1
Increased efficacy – Fewer sessions needed over time	1

Discussion

The aim of this scoping review was to explore how VCs have been used in UL MSK rehabilitation, synthesise key characteristics and identify the evidence gaps to inform future research.

This review found limited empirical research in the field of VCs for upper limb MSK rehabilitation (n = 19), with very few of those studies being high quality RCTs. Therefore, further robust RCTs are needed to compare in-person and VC interventions for upper limb MSK conditions.

One of the most prominently studied patient groups was shoulder injury or pain (n = 5), which often falls into the MSK physiotherapy field. As hand and wrist injuries likely require a greater demand for in-person techniques (ie. splinting), similar studies in hand therapy may provide different results, which could indicate potential bias in the pooled review results. This highlights the need for further research into VCs in hand therapy.

Regarding assessment of patients over VCs, the included studies found good reliability and validity for most outcome measures performed over video.^22,27,29 However, care should be taken when performing nerve or joint assessments, as these were found to be less valid,^27,29 a finding which was echoed in a systematic review of general MSK assessments.⁵¹

PROMs were also commonly used amongst the included studies. When choosing PROMs for use in VCs, therapists should consider the standardisation of the measures, the validity and reliability of the tool, and its ease of use. Finally, research is needed into the reliability and validity of the commonly used method of measuring ROM over the screen.

The benefits of using VCs in upper limb MSK rehabilitation were noted by both patients and therapists. Patients largely had a positive experience of using VCs, with the most regularly mentioned benefit being the decrease in travel costs and time. Therapists also reported success with session outcomes such as progressing exercises, advising and problem-solving with their patients.

The included studies found that health outcomes, such as pain, function and ROM, were generally similar or significantly better than in-person treatment,^35,36 indicating that VCs can be an effective tool for MSK rehabilitation.

Finally, only one study explored the cost-effectiveness of VCs in upper limb MSK rehabilitation.³⁷ While it had positive outcomes, further cost-effectiveness studies are needed for the use of VCs in hand and wrist rehabilitation to assist with policy development.

The most commonly mentioned limitation was understandably the lack of ‘hands-on’ treatment, which was also noted within the wider field of VC research.^52–54 Therapists were concerned about not being able to perform some assessments and techniques such as splinting or manual joint mobilisation techniques, virtually.^21,31

Within the included studies, both therapists and patients believed that VCs were more successful when the therapist was already known to the patient.^31,35 Hence, an argument can be made for offering a mix of virtual and in-person appointments, possibly with an in-person first contact as standard for patients with higher care needs. This idea has been supported by researchers within the MSK field.^55–58

A notable finding from this review is the importance of deciding which patients are appropriate for VCs. There are certain patient factors which can negatively impact VC success, including the patient’s diagnosis and clinical presentation. Post-operative patients were more likely to receive in-person treatment,^21,24 due to the increased risk of complications such as infection, oedema and contractures, and the need to use manual techniques, such as splinting, to avoid them.³³ Non-traumatic, non-operative cases and patients over the age of 65 were more likely to receive VCs during COVID-19.^21,24 As patients with these types of diagnoses often do well with education and self-management, they are well suited to VCs.

While these broad categories are a starting point, the holistic view of the patient, including diagnosis, social and patient factors, needs to be considered to ensure the allocation of patients to VCs is safe and effective. Clinical decision-making tools can be very helpful for guiding therapists when making these decisions. However, as McMullen et al.³³ found, very few therapists (35%) were using such a tool and were instead relying on their own discretion. Therefore, this review agrees with McMullen et al.³⁴ that evidence-based decision-making tools should be developed, tested and implemented to ensure safe and appropriate standards of care.

Finally, a significant impact on the therapist’s opinion of VCs was the lack of time to receive adequate training on VC skills and technology. In a repeated measures survey, Cottrell et al.⁵⁹ found that clinician confidence and acceptance of VCs improved significantly with training and repeated exposure. Appropriate training is, therefore, paramount to ensure increased uptake and confidence in the use of VCs.

This review has several strengths, as noted: a clearly structured and rigorous search strategy, broad search boundaries and a deep examination and extraction of the heterogeneous outcomes in each evidence source. A detailed protocol was also published online at https://osf.io/d38vt/.

The greatest limitation of this study was one researcher performing the search and data extraction, due to the nature of the Masters Independent Study requirements. Measures such as the use of the calibration exercise and checklists were put in place to mitigate the risk of bias that this introduced, but there is still an increased risk of bias in the study results. Secondly, the paucity of research in this field led to a small number of evidence sources being included. Finally, limiting the search to English sources only may have excluded valuable information within this field.

Conclusions

This scoping review found limited evidence for the use of VCs in upper limb MSK rehabilitation, despite the increased uptake during COVID-19. Included studies reported both benefits and limitations for VC use, as well as positive health outcomes, assessment reliability and validity and limited evidence for cost-effectiveness. This review emphasises the importance of assessing patients’ appropriateness for VCs and suggests the use of clinical decision-making tools to assist with this process.

Further research into the use of VCs within upper limb MSK rehabilitation is needed specifically for hand and wrist disorders, investigating cost-effectiveness and ROM measurement over VCs.

Supplemental Material

Supplemental Material - The use of telephone and video consultations in upper limb musculoskeletal rehabilitation: A scoping review

Supplemental Material for The use of telephone and video consultations in upper limb musculoskeletal rehabilitation: A scoping review by Amy Maltby, Ann Underhill and Sarah Woodbridge in Hand Therapy

Footnotes

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Acknowledgements

We would like to thank Ian Shelton and Nikki Daniels for their assistance and guidance in this research.

Author contributions

AM researched literature and conceived the study with the help of SW as part of an Independent Study dissertation for Master's level study. AM and SW developed the protocol. AM performed the literature search with assistance from SW for the calibration exercise. AM performed the data extraction and analysis. AM wrote the first draft of the manuscript and AU assisted with reviewing and editing the manuscript. AM and AU reviewed and approved the final version of the manuscript.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Guarantor

ORCID iDs

Amy Maltby

Ann Underhill

Supplemental Material

Supplemental material for this article is available online.

References

Horsley

Schock

Grona

, et al. Use of real-time videoconferencing to deliver physical therapy services: A scoping review of published and emerging evidence. J Telemed Telecare 2020; 26(10): 581–589.

Jesus

Landry

Dussault

, et al. Human resources for health (and rehabilitation): Six Rehab-Workforce Challenges for the century. Hum Resour Health 2017; 15(1): 1–2.

NHS England . NHS five Year forward view, 2014. Available from: https://www.england.nhs.uk/publication/nhs-five-year-forward-view/

NHS England . The NHS long term plan, 2019. Available from: https://www.england.nhs.uk/long-term-plan

Russell

. Physical rehabilitation using telemedicine. J Telemed Telecare 2007; 13(5): 217–220.

Gregory

Burchett

McCrum

. National survey of the current clinical practices of the UK rheumatology physiotherapists: A short report. Muscoskel Care 2021; 19(1): 136–141.

NHS England . Allied health professionals’ role in rehabilitation during and after COVID-19 2020. Available from: https://www.england.nhs.uk/coronavirus/publication/allied-health-professionals-role-in-rehabilitation-during-and-after-covid-19/

Hailey

Roine

Ohinmaa

, et al. Evidence of benefit from telerehabilitation in routine care: a systematic review. J Telemed Telecare 2011; 17(6): 281–287.

Kairy

Lehoux

Vincent

, et al. A systematic review of clinical outcomes, clinical process, healthcare utilization and costs associated with telerehabilitation. Disabil Rehabil 2009; 31(6): 427–447.

10.

Keil

Carr

. Telerehabilitation: The impact on occupational therapy interventions [dissertation on the internet]. Ann Arbor: The College of St. Scholastica, 2012.

11.

Cottrell

Galea

O’Leary

, et al. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil 2017; 31(5): 625–638.

12.

Grona

Bath

Busch

, et al. Use of videoconferencing for physical therapy in people with musculoskeletal conditions: A systematic review. J Telemed Telecare 2018; 24(5): 341–355.

13.

Pastora-Bernal

Martín-Valero

Barón-López

, et al. Evidence of benefit of telerehabitation after orthopedic surgery: a systematic review. J Med Internet Res 2017; 19(4): 1–12.

14.

Peters

Godfrey

McInerney

, et al. Chapter 11: Scoping reviews: JBI; 2020 version. Available from: https://synthesismanual.jbi.global. DOI: 10.46658/JBIMES-20-12.

, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med 2018; 169(7): 467–473.

, et al. Guidance for conducting systematic scoping reviews. JBI Evidence Implementation 2015; 13(3): 141–146.

17.

Sucharew

. Methods for research evidence synthesis: the scoping review approach. J Hosp Med 2019; 14(7): 416.

18.

Arksey

O'Malley

. Scoping studies: towards a methodological framework. Int J Soc Res Methodol 2005; 8(1): 19–32.

19.

The Joanna Briggs Institute . The Joanna Briggs Institute levels of evidence and Grades of recommendation [Internet]. Australia: The Joanna Briggs Institute; 2014. Available from: https://jbi.global/sites/default/files/2019-05/JBI-Levels-of-evidence_2014_0.pdf

20.

Unsworth

. Writing systematic, scoping, and app reviews: summarising and appraising best evidence. Br J Occup Ther 2020; 83(5): 277–284.

21.

Ivy

Doerrer

Naughton

, et al. The impact of COVID-19 on hand therapy practice. Journal of Hand Therapy [Internet] 2021; 35: 523–536. DOI: 10.1016/j.jht.2021.01.007.

. Virtual assessments of knee and wrist joint range motion have comparable reliability with face-to-face assessments. Muscoskel Care 2021; 19(2): 208–216.

, et al. Feasibility, effectiveness and patient satisfaction of telerehabilitation after thumb carpometacarpal arthroplasty and reverse total shoulder arthroplasty: A pilot study. J Telemed Telecare 2021; 0(0): 1–9.

, et al. A follow up survey on the impact of COVID-19 on hand therapy practice. Journal of Hand Therapy [Internet] 2021; 36: 121–132. DOI: 10.1016/j.jht.2021.07.001 .

25.

Turner

. Case Studies in physical therapy: transitioning a “Hands-On” approach into a virtual platform. Int J Telerehabilitation 2018; 10(1): 37–50.

26.

Young

MacDonald

. Physical therapist identification of an undetected rotator cuff tear via a telehealth evaluation: A Case Report. JOSPT Cases 2021; 1(1): 29–33.

, et al. Validity and reliability of the assessment and diagnosis of musculoskeletal elbow disorders using telerehabilitation. J Telemed Telecare 2012; 18(7): 413–418.

, et al. Internet and Telerehabilitation-Delivered Management of Rotator Cuff–Related Shoulder Pain (INTEL Trial): randomized controlled pilot and feasibility trial. JMIR mHealth and uHealth [Internet] 2020; 8(11): 1–18. Available from: http://mhealth.jmir.org/2020/11/e24311/

29.

Steele

Lade

McKenzie

, et al. Assessment and diagnosis of musculoskeletal shoulder disorders over the internet. International journal of telemedicine and applications [Internet] 2012; 2012: 1–8.

30.

Worboys

Brassington

Ward

, et al. Delivering occupational therapy hand assessment and treatment sessions via telehealth. J Telemed Telecare 2018; 24(3): 185–192.

31.

Gilbert

Jaggi

May

. What is the acceptability of real time 1:1 videoconferencing between clinicians and patients for a follow-up consultation for multi-directional shoulder instability? Shoulder Elbow 2019; 11(1): 53–59.

32.

McMullen

. Use of audiovisual equipment (SKYPE) for the treatment of hand injuries for remote consultations. Hand Ther 2012; 17(2): 42–46.

33.

McMullen

Robson

Brewin

, et al. Clinical decision making in the provision of audiovisual care for upper limb trauma: a survey of UK experiences. Hand Therapy [Internet]; 0(0): 1–9.

34.

Eriksson

Lindström

Gard

, et al. Physiotherapy at a distance: a controlled study of rehabilitation at home after a shoulder joint operation. J Telemed Telecare 2009; 15(5): 215–220.

35.

Eriksson

Lindström

Ekenberg

. Patients' experiences of telerehabilitation at home after shoulder joint replacement. J Telemed Telecare 2011; 17(1): 25–30.

36.

Pastora-Bernal

Martín-Valero

Barón-López

, et al. Telerehabilitation after arthroscopic subacromial decompression is effective and not inferior to standard practice: Preliminary results. J Telemed Telecare 2018a; 24(6): 428–433.

37.

Pastora-Bernal

Martín-Valero

Barón-López

. Cost analysis of telerehabilitation after arthroscopic subacromial decompression. J Telemed Telecare 2018b; 24(8): 553–559.

38.

Szekeres

Valdes

. Virtual health care & telehealth: Current therapy practice patterns. Journal of Hand Therapy [Internet] 2020; 35: 124–130. DOI: 10.1016/j.jht.2020.11.004.

, et al. In-home telerehabilitation for proximal humerus fractures: a pilot study. Int J Telerehabilitation 2015; 6(2): 31–38.

40.

Thomas

. How to plan and execute a telehealth physical therapy session: Don't Just Natter, Make it Matter. Co-Kinetic Journal 2020; 86: 22–29.

41.

Proton Technologies

. What is GDPR, the EU's new data protection law? [Available from: https://gdpr.eu/what-is-gdpr/(2022).

42.

Dijkstra

Ergen

Holtzhausen

, et al. Remote assessment in sport and exercise medicine (SEM): a narrative review and teleSEM solutions for and beyond the COVID-19 pandemic. Br J Sports Med 2020; 54(19): 1162–1167.

43.

Franko

Zurakowski

Day

. Functional disability of the wrist: direct correlation with decreased wrist motion. J Hand Surg 2008; 33(4): 485.

44.

Hayes

Walton

Szomor

, et al. Reliability of five methods for assessing shoulder range of motion. Aust J Physiother 2001; 47(4): 289–294.

45.

Hudak

Amadio

Bombardier

, et al. Development of an upper extremity outcome measure: The DASH (disabilities of the arm, shoulder, and head). Am J Ind Med 1996; 29(6): 602–608.

46.

NHS England . Second phase of NHS response; letter to chief executives London. NHS, 2020. Available from: https://www.england.nhs.uk/coronavirus/wp-content/uploads/sites/52/2020/04/second-phase-of-nhs-response-to-covid-19-letter-to-chief-execs-29-april-2020.pdf.

47.

Gilbert

Jones

Jaggi

, et al. Use of virtual consultations in an orthopaedic rehabilitation setting: how do changes in the work of being a patient influence patient preferences? A systematic review and qualitative synthesis. BMJ Open 2020; 10(9): e036197.

48.

Cottrell

Judd

Comans

, et al. Comparing fly-in fly-out and telehealth models for delivering advanced-practice physiotherapy services in regional Queensland: an audit of outcomes and costs. J Telemed Telecare 2021; 27(1): 32–38.

49.

Nelson

Russell

Crossley

, et al. Cost-effectiveness of telerehabilitation versus traditional care after total hip replacement: A trial-based economic evaluation. J Telemed Telecare 2019; 0(0): 1–7.

50.

Tousignant

Moffet

Nadeau

, et al. Cost Analysis of In-Home Telerehabilitation for Post-Knee Arthroplasty. J Med Internet Res 2015; 17(3): e83.

51.

Mani

Sharma

Omar

, et al. Validity and reliability of Internet-based physiotherapy assessment for musculoskeletal disorders: a systematic review. J Telemed Telecare 2017; 23(3): 379–391.

52.

Hinman

Nelligan

Bennell

, et al. Sounds a bit crazy, but it was almost more personal:” a qualitative study of patient and clinician experiences of physical therapist-prescribed exercise for knee osteoarthritis via skype. Arthritis Care Res 2017; 69(12): 1834–1844.

53.

Lawford

Bennell

Kasza

, et al. Physical therapists’ perceptions of telephone- and internet video-mediated service models for exercise management of people with osteoarthritis. Arthritis Care Res 2018; 70(3): 398–408.

54.

Malliaras

Merolli

Williams

, et al. ‘It's not hands-on therapy, so it's very limited’: Telehealth use and views among allied health clinicians during the coronavirus pandemic. Musculoskeletal Science and Practice [Internet] 2021; 52: 102340, DOI: 10.1016/j.msksp.2021.102340.

, et al. The patient's perspective of in-home telerehabilitation physiotherapy services following total knee arthroplasty. Int J Environ Res Publ Health 2013; 10(9): 3998–4011.

, et al. I was really sceptical...But it worked really well”: a qualitative study of patient perceptions of telephone-delivered exercise therapy by physiotherapists for people with knee osteoarthritis. Osteoarthritis Cartilage 2018; 26(6): 741–750.

, et al. Defining clinical decision making in the provision of audio-visual outpatient care for acute upper limb trauma services: A review of practice. J Plast Reconstr Aesthetic Surg 2021; 74(2): 407–447.

Musculoskeletal physical therapy during the COVID-19 pandemic: is telerehabilitation the Answer?

Phys Ther 2020; 100(8): 1260–1264.

, et al. Clinicians’ perspectives of a novel home-based multidisciplinary telehealth service for patients with chronic spinal pain. Int J Telerehabilitation 2018; 10(2): 81–88.

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