Abstract
Introduction
Emerging evidence suggests that robotic devices for upper limb rehabilitation after a stroke may improve upper limb function. For robotic upper limb rehabilitation in stroke to be successful, patients’ experiences and those of the rehabilitation professionals must be considered. Therefore, this review aims to synthesise the available evidence on experiences of patients after a stroke with rehabilitation robots for upper limb rehabilitation and the experiences of rehabilitation professionals with rehabilitation robots for upper limb stroke rehabilitation.
Methods and analysis
Database search will include MEDLINE (Ovid), EMBASE (Elsevier), Cochrane CENTRAL, PsycINFO, Scopus, Web of Science, IEEE and CINAHL (EBSCOhost). Grey literature from Open Grey, PsyArXiv, bioRxiv, medRxiv and Google Scholar will also be searched. Qualitative studies or results from mixed-method studies that include adult patients after a stroke who use upper limb rehabilitation robots, either supervised by rehabilitation professionals or by patients themselves, at any stage of their rehabilitation and/or stroke professionals who use upper limb rehabilitation robots will be included. Robotic upper limb rehabilitation provided by students, healthcare assistants, technicians, non-professional caregivers, family caregivers, volunteer caregivers or other informal caregivers will be excluded. Articles published in English will be considered regardless of date of publication. Studies will be screened and critically appraised for methodological quality by two independent reviewers. A standardised tool from JBI System for the Unified Management, Assessment and Review of Information for data extraction, the meta-aggregation approach for data synthesis and the ConQual approach for confidence evaluation will be followed.
Ethics and dissemination
As this systematic review is based on previously published research, no informed consent or ethical approval is required. It is anticipated that this systematic review will highlight the experiences of patients after a stroke and perceived facilitators and barriers for rehabilitation professionals on this topic, which will be disseminated through peer-reviewed publications and national and international conferences.
PROSPERO registration number
CRD42022321402.
Keywords: Stroke, REHABILITATION MEDICINE, QUALITATIVE RESEARCH
Strengths and limitations of this study.
This review will include the literature from interdisciplinary databases to maximise diversity of data.
Inclusion of grey literature in this review will provide comprehensive information of experiences in the use of upper limb rehabilitation robots that are not commercially available.
Use of ConQual approach will ensure confidence in the synthesised findings of this review.
This review will include only English-language publications due to limited financial resources, which will limit the review’s comprehensiveness.
Introduction
The use of rehabilitation robots has grown over the past few decades,1 particularly for upper limb stroke rehabilitation, and the evidence supporting their use is also increasing.2 3 Several rehabilitation robots are available to assess and augment rehabilitation of stroke-impaired upper limbs under direct or remote supervision, including end effectors4 5 (figures 1 and 2), exoskeletons6 (figure 3) and exosuits7 (figure 4). The use of rehabilitation robots produces comparable results,8 and in some cases, such as when used by individuals with upper extremity hemiplegia, who have limited chances of spontaneous recovery after stroke, they could produce better results than those achieved by other routine therapy methods.2 3 In addition, systematic reviews of rehabilitation robots in upper limb stroke rehabilitation have demonstrated that they provide valid outcome measurements of clinically meaningful body functions and structures of the ICF domain, such as muscle viscoelasticity9 and movement-related kinematic parameters.10 For these reasons, rehabilitation robots are receiving increasing attention in rehabilitation programmes as intervention devices and tools for evaluating clinical outcomes. Although rehabilitation robots have not been extensively examined for their adoption in routine care, the increasing number of robots being commercialised over the past decade and the increased number of robotic literature suggests a slow and steady adoption.11
There is some emerging evidence that rehabilitation robots may improve upper limb function after a stroke.1–3 Studies have compared different types of robots in concluding effectiveness of upper limb function,8 12 which may explain the varying results between studies that support or negate the effectiveness of upper limb robotic rehabilitation. Mehrholz et al, for example, reported that there is no difference between the types of robots and the improvements in upper limb functional performance in their meta-analysis of robot-assisted upper limb training in patients after a stroke.8 In contrast, the meta-analysis by Moggio et al found that exoskeleton robots are significantly superior to end effector robots in improving finger and hand motor function in patients after a stroke.12 It should be noted that the use of Exosuits in rehabilitation is a relatively new approach in rehabilitation robotics, and no comparison studies have been completed to date.7 13 14
Due to the variety of robots available that provide similar clinical outcomes, selecting an appropriate robotic intervention strategy for patients after a stroke by rehabilitation professionals may be complex and challenging.8 Thus, the subjective experiences of rehabilitation professionals with robots become crucial in the selection and use of rehabilitation robots in clinical practice. It is also pertinent to study rehabilitation professionals’ experiences with and attitudes towards using rehabilitation robots in clinical practice since they remain cautious when recommending them.15 16 The literature also acknowledges this need, pointing out that rehabilitation professionals’ attitudes are as important as the benefits derived from robots.15 16 If upper limb rehabilitation robots are to be successfully incorporated into clinical practice, there is a need for a systematic approach to the adoption of such robots in rehabilitation.15 16 Therefore, it is necessary to systematically review, document and compile rehabilitation professionals’ perspectives, experiences and views on upper limb rehabilitation robots.
Renaud and Van Biljon assert that a person’s adoption of technology begins when they become aware of it and ends when they accept and fully use it.17 The perceptions, perspectives, satisfaction and other experiences of an end user play a significant role in determining whether that end user will successfully adopt the technology and whether the technology will continue to be used or discontinued.18 Thus, the experiences of patients who use rehabilitation robots after a stroke are as significant as those of rehabilitation professionals. The experiences of patients with rehabilitation robots may differ from those of rehabilitation professionals, and therefore, these experiences should be analysed and reported separately. After a stroke, patients tend to prioritise their personal needs and participation in meaningful activities over that of impairment-focused rehabilitation.19 It is, therefore, imperative to conduct a comprehensive review of patient experiences related to the use of rehabilitation robots, which may lead to an increase in the acceptance and sustained use of these devices by informing improved user-centred designs. Further, a comprehensive summary of patients’ likes, dislikes and preferences for specific upper limb rehabilitation robots is fundamental when outcomes among the types of robots are largely similar.8
The only systematic review to date that aimed to meta-synthesise end-user perceptions of robotics is in motor rehabilitation20 and provides an early, generic description of the patients’, caregivers’ and professionals’ experiences with rehabilitation robots. In the review by Laparidou et al, an overview of all types of motor rehabilitation using rehabilitation robots for various clinical conditions (shoulder instability/rotator cuff injury, spinal cord injury, stroke, brain injury, cerebral palsy and unspecified clinical conditions) of all ages (from five to 84 years of age) is provided.20 This review’s inclusion of participants with varied clinical presentations offers valuable insight into their generalised experiences with rehabilitation robots. However, as the review focuses on a broad clinical group, it fails to provide a comprehensive focus and in-depth description of rehabilitation robots’ use in adult patients with stroke. Stroke upper limb rehabilitation robots for adults require particular considerations due to their unique needs,21 abilities22 and patterns of functional recovery23 that are distinct from those of other patient populations, such as spinal cord injury24 25 or children with cerebral palsy.26 This work addresses the lack of an in-depth focus on patients with stroke to fill the gap in the literature that so far has predominantly looked at multiple clinical conditions.
A preliminary search of PROSPERO, MEDLINE, Cochrane Database of Systematic Reviews and JBI Evidence Synthesis was conducted on 1 March 2022. During the search, no scoping or systematic reviews were identified that focused on the experiences of the use of upper limb rehabilitation robots by patients who had a stroke or their rehabilitation professionals, indicating the necessity for a qualitative systematic review to further explore this.
Methods and analysis
Objective
This review aims to collect and synthesise available evidence regarding the experiences of patients after a stroke using robots for upper limb rehabilitation, irrespective of the ongoing involvement of rehabilitation professionals and the experiences of rehabilitation professionals using robots for upper limb stroke rehabilitation.
Review questions
What are the experiences of patients after a stroke when undergoing rehabilitation for upper limb dysfunction using rehabilitation robots?
What are the rehabilitation professionals’ experiences, perspectives, opinions and perceived facilitators and barriers regarding the use of rehabilitation robots for upper limb stroke rehabilitation?
Eligibility criteria
Participants
This review will consider studies that include adult patients (over the age of 18) after a stroke using rehabilitation robots for upper limb rehabilitation, either supervised by rehabilitation professionals or by patients themselves, as part of self-administered robotic therapy at any phase of their rehabilitation.
To clarify our inclusion criteria, we have used the following definitions:
Stroke: a sudden loss of neurological function caused by haemorrhage or ischaemia in the brain parenchyma caused by a vascular event, with symptoms lasting more than 24 hours, which are not explainable by other causes.
Phases of rehabilitation: time after stroke as classified by the Stroke Roundtable Consortium27; namely, the hyperacute phase (<24 hours), the acute phase (2–7 days), the early subacute phase (8–90 days), late subacute phase (91–180 days) and chronic phase (>180 days).
Upper limb rehabilitation: interventions aimed at enhancing the function of the upper limb after considering the goals of patients after a stroke, which are identified following evaluations of their functional abilities and level of activity.
Rehabilitation robots: robots that have contact with a patient to provide physical interaction driven by an actuation system and controlled by the robot alone or in a robot and patient shared control to perform rehabilitation, assessment, compensation or alleviation.28 Rehabilitation robots may be fixed, mobile or wearable devices used during inpatient, outpatient, home-based or community-based rehabilitation. These rehabilitation robots may take the forms of end effectors, exoskeletons or exosuits.
End effectors: robots with a single point of connection to a patient’s distal segment, with joints that are neither matched to nor aligned with other joints of the patient, where the force generated by the robot’s distal interface is transmitted to other joints of the patient in accordance with the principles of close-kinematic chains29 (figures 1 and 2).
Exoskeletons: robots with rigid anthropomorphic structures attached to the body at multiple points through straps, cuffs, belts or other attachments, ensuring the robotic joint axes are aligned with the anatomical joints of the wearer’s body29 (figure 3).
Exosuits: robots that use softer materials such as fabric instead of rigid anthropomorphic structures29 (figure 4).
Upper limb robotic rehabilitation: robots assisting or resisting movement in a single joint or controlling the intersegmental coordination of the affected upper limb as well as providing and enhancing repetitive task training and task-specific training to improve range of motion, strength, motor learning and motor control.8 29 In addition to assessing, compensating for or alleviating the effects of stroke-related upper limb impairment.
Studies that report patients with more than one stroke, patients under 18, or patients with other known causes of upper limb impairment besides stroke will be excluded. Studies reporting patients without upper limb motor dysfunction or having sensory impairments alone or cognitive and perceptual impairments alone will be excluded. Hospital robots, social robots or care/assistive robots that assist patients after a stroke in their activities of daily living without being connected to their upper limb or robotic interventions other than rehabilitation robots, as previously described, will be excluded. Studies reporting upper limb rehabilitation using rehabilitation robots in body segments other than the affected upper limb will be excluded. Likewise, studies reporting upper limb robotic interventions conducted concurrently with other robotic interventions for other body segments, presented as a whole and not sufficiently distinguished from one another, will be excluded.
This review will include professionals who provide stroke upper limb rehabilitation using rehabilitation robots. The rehabilitation professionals may be experts in upper limb rehabilitation, such as physiatrists, physical therapists, occupational therapists, hand therapists or rehabilitation nurses. Other professionals such as emergency physicians, geriatricians, neurologists, neurosurgeons or other physicians involved only in the medical or surgical management of patients with stroke who do not provide active upper limb rehabilitation will be excluded. Similarly, rehabilitation engineers, robotic engineers, biomedical engineers, orthotists and other specialists who are typically not directly involved in physical rehabilitation or clinical care for patients who had a stroke will also be excluded. Robotic upper limb rehabilitation provided by students, healthcare assistants or technicians, who may not be competent to practice independently, will be excluded. Likewise, robotic upper limb rehabilitation provided by non-professional caregivers, family caregivers, volunteer caregivers or other informal caregivers will also be excluded.
Phenomena of interest
In this review, studies that describe the experiences of patients after a stroke and/or their rehabilitation professional with upper limb rehabilitation robots will be considered. Patients’ experiences during or after the use of upper limb rehabilitation robots for stroke can be positive or negative, describe complications/adverse events or any other experiences. Rehabilitation professionals’ experiences may include facilitators and barriers, encounters, perspectives or opinions associated with preparing for or providing upper limb rehabilitation in stroke using rehabilitation robots.
Context
The context will not be restricted in this review. This review will consider studies that present patients after a stroke or rehabilitation professionals’ experiences of providing upper limb rehabilitation using rehabilitation robots in any clinical setting during any phase of stroke rehabilitation. These settings may include outpatient, inpatient, community-based or home-based intervention services or other therapeutic settings. This review is not restricted to geographical locations, funding mechanisms, healthcare facilities or services.
Types of studies
This review will consider studies that focus on qualitative data, including, but not limited to, designs such as qualitative descriptive, phenomenology, grounded theory, ethnography and action research. This review will also consider the qualitative results of mixed-method studies.
Methods
The proposed systematic review will be conducted in accordance with the JBI methodology for systematic reviews of qualitative evidence.30 The review will commence in October 2022 and end in September 2023. The review protocol is registered in PROSPERO (CRD42022321402).
Search strategy
The search strategy will aim to locate both published and unpublished studies. A three-step search strategy will be used in this review. First, a pilot initial limited search of MEDLINE (Ovid) and CINAHL (EBSCOhost) was undertaken to identify articles on the topic. The text words contained in the titles and abstracts of relevant articles and the index terms (such as MeSH terms) used to describe the articles were used to develop a full search strategy for MEDLINE (Ovid) (see online supplemental appendix 1). The search strategy, including all identified keywords and index terms, will be adapted for each included database and/or information source. The reference lists of all included sources of evidence will be screened for additional studies.
bmjopen-2022-065177supp001.pdf (45.7KB, pdf)
Regardless of the publication date, articles published in English will be included to capture all relevant literature comprehensively. In view of the limited resources available to reviewers to translate literature from other languages, languages other than English will be excluded in this review. The databases will include MEDLINE (Ovid), EMBASE (Elsevier), Cochrane CENTRAL, PsycINFO, Scopus, Web of Science, IEEE and CINAHL (EBSCOhost). Grey literature will also be searched through Open Grey, PsyArXiv, bioRxiv, medRxiv and Google Scholar.
Study selection
After the search, the citations will be collated and uploaded into EndNote X20 (Clarivate Analytics, Pennsylvania, USA), and duplicates will be removed. After piloting the eligibility criteria on a sample of citations (between six and eight articles) to ensure consistency in application,31 two independent reviewers (MC and LTV) will screen all titles and abstracts to determine if they meet the review’s inclusion criteria and any disagreements will be resolved by mutual agreement in discussion with the third reviewer (VS/SB). Potentially relevant studies will be retrieved in full, and their citation details imported into the JBI System for the Unified Management, Assessment and Review of Information (JBI SUMARI) (JBI, Adelaide, Australia).32 The full text of selected citations will be assessed in detail against the inclusion criteria by two independent reviewers (MC and LTV), and any disagreements will be resolved in discussion with VS/SB. The reasons for the exclusion of full-text papers that do not meet the inclusion criteria will be recorded and reported. The results of the search and the study inclusion process will be reported in full in the final systematic review and presented using a Preferred Reporting Items for Systematic Reviews and Meta-analyses flow diagram.33
Assessment of methodological quality
Eligible studies will be critically appraised by two independent reviewers for methodological quality using the standard JBI Critical Appraisal Checklist for Qualitative Research.34 Any disagreements that arise between the reviewers will be resolved through discussion with the third reviewer. The results of the critical appraisal will be reported in narrative form and tables. Regardless of the results of their methodological quality, all studies will be included in the data extraction and synthesis process to ensure that all experiences are captured comprehensively and no evidence is missed. All major quality issues of the included studies will be presented and discussed in the final review report.
Data extraction
Data will be extracted from studies included in the review by two independent reviewers using the standardised JBI data extraction tool in JBI SUMARI.32 The data extracted will include specific details about the population, context, culture, geographical location, study methods and the phenomena of interest relevant to the review objectives, namely experiences of using upper limb rehabilitation robots by patients after a stroke and rehabilitation professionals’ experiences of providing stroke upper limb rehabilitation using robots. The findings, and their illustrations, will be extracted verbatim and assigned a level of credibility. Any disagreements that arise between the reviewers will be resolved through discussion with the third reviewer. If necessary, missing or additional data will be requested from the authors. Even after obtaining additional information from the authors, all missing or unclear information that continues to exist will be treated in the review report as missing data.
Data synthesis
Qualitative research findings where possible will be pooled using JBI SUMARI with the meta-aggregation approach.35 This will involve the aggregation or synthesis of findings to generate a set of statements representing that aggregation by assembling the findings and categorising these findings based on similarity in meaning. These categories will then be subjected to a synthesis to produce a single, comprehensive set of synthesised findings that can be used as a basis for evidence-based practice. Where textual pooling is not possible, the findings will be presented in a narrative form.
Assessing confidence in the findings
The final synthesised findings will be graded according to the ConQual approach for establishing confidence in the output of qualitative research synthesis and presented in a summary of findings.36 The summary of findings includes the major elements of the review and details how the ConQual score is developed. The title, population, phenomena of interest and context for the specific review will be included in the summary of findings. Each synthesised finding from the review will then be presented, along with the type of research informing it, the score for dependability and credibility, and the overall ConQual score.
Reflexivity and integrity
Given that this is a review of qualitative studies, it is important to consider the reviewers’ assumptions and preconceptions regarding the phenomenon of interest, as well as other potential influences that may affect the review process.
This review will be conducted in collaboration. The current review is not funded by public or private sources, and the review team have declared no conflict of interest. As a result, the review is not affected by external influences. The review team includes a robotic engineer, an occupational therapist with experience in using rehabilitation robots, an occupational therapist and a physiotherapist with experience in rehabilitation but not robotics. With the deliberate decision to include reviewers with varying levels of experience with rehabilitation robots and their involvement in all stages of the review process, it is anticipated that any potential influence of individual reviewers’ conceptions and preconceptions regarding the phenomenon of interest will be minimised. The review team’s experience will provide the necessary expertise for this review.
A conscious effort will be made to write memos during the data collection and analysis in order to examine and reflect on the reviewer’s engagement.37 This ‘memoing’ process will include methodological notetaking to explain the procedural aspect and observational comments to explain and explore the reviewer’s feelings at different stages of the review process. Moreover, the reviewers have not published a primary qualitative study on the phenomenon of interest, despite having published primary qualitative studies on other topics. The use of the standardised JBI extraction tool for data extraction and following the standard procedures of the meta-aggregation approach for data synthesis, as well as the above-mentioned process of author reflexivity, based on Flemming and Noyes descriptions,37 are likely to minimise the impact of the review team’s preconceptions. Reflexivity and integrity will be maintained throughout the search, data collection and analysis stages.
Patient and public involvement
Patients and members of the public were not involved in the planning of this protocol.
Discussion
The main aim of this review is to describe the experiences of patients after a stroke and rehabilitation professionals’ experiences with upper limb rehabilitation robots. The results from this review are expected to inform better understanding of the use of upper limb rehabilitation robots, perceptions, opinions, facilitators and barriers to their use. This review will highlight current research and available evidence in this important and emerging topic area in upper limb rehabilitation after a stroke. The findings from this review will be published and disseminated in journals, conferences and social media, and it is anticipated that the findings from this review will be useful for patients after a stroke, rehabilitation professionals, commissioners of health and care services and developers of rehabilitation robots to inform better provision and ongoing care for patients after a stroke.
Supplementary Material
Acknowledgments
We thank Ms Rachel Rajasekaran, Ms Dolly Mira Priyadarshini and Ms Jackie Fox for proofreading our manuscript and for valuable English language editing.
Footnotes
Twitter: @ManiChokalingam, @lennyvasanthan, @vimalsrir
Contributors: MC was responsible for the conceptualisation and design of the study with critical inputs from LTV, VS and SB. MC developed the search strategy and conducted the search with critical input from LTV, VS and SB. The protocol was drafted by MC with important intellectual input and revisions from LTV, VS and SB. All authors have read and given approval for this version and agree to be accountable for all aspects of the work. MC is the guarantor of the review.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Ethics statements
Patient consent for publication
Not applicable.
References
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