Abstract
Background
Telerehabilitation offers patients alternative access to therapy and has become more prominent during the COVID-19 pandemic. Despite the increasing attractiveness of such programs, there are research gaps regarding the required competencies in the demand-oriented technology use in rehabilitative care.
Objective
The study aims at collecting evidence on competencies required by patients and health professionals for using telerehabilitation. We analyse tasks and requirements associated with telerehabilitation and derive and systematise relevant competencies.
Methods
We conducted a scoping review and analysed MEDLINE, Psyndex, EMBASE, Cochrane Library, and Web of Science for empirical studies and grey literature from 2017 to May 2022. Articles had to be in English/German and refer to medical rehabilitation accompanied by health professionals taking place in the patient's home.
Results
One hundred ten articles were included, covering video conferencing systems, applications with video, audio, or visual therapy content, or wearables. Depending on the program, tasks before, during, and after therapy sessions differ, as do whether these are performed by health professionals, patients, or the technology. Users need digital, health-related, social, personal, and health professionals also professional competencies. This comprises telerehabilitation, technical, health-related, and clinical knowledge, a range of physical, cognitive, social-interactive, technical, and clinical skills, a positive attitude towards telerehabilitation and experience. Whether sociodemographic factors promote successful use is unclear.
Conclusions
Telerehabilitation requires a variety of different competencies from patients and health professionals — going beyond the sphere of technical skills. This highlights the need for an evaluation of existing programs for promoting competencies in the use of telerehabilitation and refinement of the programs in line with demands.
Introduction
Telerehabilitation
The COVID-19 pandemic greatly impacted those in need of medical or rehabilitative services. To stop transmissions of the disease, facilities had to reduce or shut down their centre-based rehabilitation programs.1–3 In this context, telerehabilitation was an alternative for patients not willing or able to use analogue services.
Telerehabilitation is defined as the delivery of medical rehabilitation via information and communication technologies (ICTs).4,5 The possible fields of application are heterogeneous and differ depending on the indication, therapy form, and health professionals involved. 6 Various technologies and tools, such as sensors, video conferencing systems, virtual reality, or messaging systems, can be used either synchronously or asynchronously.6,7 Recent reviews show that (e.g. physical or cardiac) telerehabilitation is effective and comparable to in-person rehabilitation.8,9
Competencies for using digital health services
The use of telerehabilitation places various demands on users, and different competencies are required for successful application. Competence in this context means ‘a measurable human capability that is required for effective performance […] [that] may be comprised of knowledge, a single skill or ability, a personal characteristic, or a cluster of two or more of these attributes’. 10 In the context of telerehabilitation, experiences during the pandemic show that inadequate training of health professionals is a barrier to successful implementation and usage. 1 Further, studies identified that a lack of digital and health-related competencies on the part of patients and health professionals can hinder successful services.11–13
Research on competencies regarding digital health services is already taking place in the fields of telemedicine, telehealth, and eHealth. Interestingly, competence analyses in these fields so far only examined health professionals as a target group.14–17 Regarding telehealth, competence models have been developed for various professions (e.g. non-physician telemedicine employees or telehealth nurses). These differ in their complexity and differentiate various competence domains or levels.10,16,17 With such a competence model – defined as ‘an organising framework that lists the competencies’ 10 – it is possible to outline the characteristics of a competent group of persons. It has been shown that orientation towards methodological guidelines, e.g. the manual by Marrelli et al., 10 can strengthen the validity and utility of such competence models. 18 However, the developed models are not yet based on theories or adherent to specific guidelines.14–18
The eHealth literacy model
Related to the competent use of digital health services is the concept of eHealth Literacy, defined by Norman and Skinner 19 as ‘the ability to seek, find, understand, and appraise health information from electronic sources and apply the knowledge gained to addressing or solving a health problem’. Their eHealth literacy model differentiates traditional literacy (ability to read/speak/write), computer literacy (ability to use computers to solve problems), health literacy (skills to interact with health systems/engage in self-care), as well as information, media, and science literacy (skills in selecting, evaluating, and using media/research/information).
So far, there is little research on eHealth literacy in the context of telerehabilitation. A recent review on the application of eHealth literacy in digital health interventions found that only two of 158 records focus on telerehabilitation. 20 Often, studies examine the effect of a telerehabilitation program on eHealth literacy rather than whether the success of a program depends on the eHealth literacy level. 21
Research gaps and study aims
As shown before, research on telehealth competencies has already progressed, but it remains unclear which competencies are required for using telerehabilitation. Further, it lacks research on the part of patients’ competencies and guideline-oriented competence frameworks. We aim to fill this research gap by collating and mapping evidence on telerehabilitation competencies. By doing so, the review is a first step to develop a competence framework for telerehabilitation. Following Marrelli et al., 10 a review serves to develop a preliminary list of competencies and supplements other data collection methods for competence modelling. In addition, the results of this review can also be used to develop needs-oriented training for telerehabilitation users and thus eliminate competence deficits in the future. Therefore, the following primary research question will be answered: What evidence exists about the competencies of patients and health professionals required for the use of telerehabilitation? We will address the following subquestions: (1) Which competencies necessary for using telerehabilitation have been identified until now? (2) What tasks and requirements are associated with the use of telerehabilitation and what competencies can be derived from this? (3) What research gaps can be identified?
Methods
In line with our objectives, we conducted a scoping review following Levac et al., 22 as this is a suitable method to examine the range of literature, systematise it and identify research gaps. The six steps are described below. We follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist (see Appendix 1). 23 The review protocol is available at https://osf.io/b6dzp.
Identifying the research questions
Two reviewers (ALS and SK) developed the research questions through an iterative process including exploratory literature screenings, an exploration of relevant terms/concepts, and thematic discussions.
Identifying relevant studies
We developed the search strategy with the support of the University of Siegen library and another expert in telerehabilitation, ensuring content and methodological expertise. The iterative process included an initial search in MEDLINE and Web of Science, analysing keywords and indexed words used for the topic, and reviewing articles for inclusion. For the final search, we included five databases: MEDLINE, Psyndex, EMBASE, Cochrane Library, and Web of Science. Search terms refer to the categories rehabilitation, technologies, and competencies, including Medical Subject Headings (MeSH terms) and synonyms. As telerehabilitation is seen as a rapidly developing field, 24 and in line with the reviewers’ spoken languages, we restricted the search by database filters to articles in English or German from 2017 to 2022 (date of search: 10/05/22). We restricted the search to the presence of search terms in the title/abstract, as both provide substantial information and focus of the article. 25 The search strategy for MEDLINE is shown in Appendix 2.
Study selection
Inclusion and exclusion criteria using the PCC principle.
PCC: Population, Concept, and Context.
The exclusion of supervised or inpatient settings was necessary because the use of telerehabilitation in hospitals, care facilities or the workplace is associated with different underlying conditions and requirements for users compared to use at home. For example, the spatial conditions, the equipment and the possibilities for technical or social support in the use of technology differ. A different requirements and skills profile is likely depending on the setting.
Two reviewers (ALS and SK) test-coded a randomised sample of 614 articles (confidence level of 99%, population of 8165 articles) 29 to check the fit of the coding instructions and to calculate intercoder reliability using Cohens Kappa. Values for Cohens Kappa range from 0 to 1, whereby values ≥ 0.61 are seen as a substantial level of agreement. 30 Test coding revealed κ = 0.672 and accordingly, our coding instructions could be approved for further analysis. Afterwards, we distributed the remaining articles halfway to both reviewers for final coding. Due to the large number of articles both reviewers shared the inclusion/exclusion process using the software Rayyan, starting with screening titles/abstracts in the first round and full texts in the second round. Uncertainties were discussed between the reviewers.
Charting the data
We developed a data-charting form, which we piloted and modified continuously. We extracted descriptive metadata of the articles, namely first author, year of publication, country of research, study design, and primary study outcome. Further, we captured outcomes relevant to answering the research questions, namely technology type or indication group. The user group and competencies were charted separately building on inductive and deductive content analysis using the software MAXQDA. The coding scheme that was developed to describe and systematise the required competencies is presented in the next section. The data was charted by one researcher and checked by another.
Collating, summarising, and reporting the results
We first analysed the results, including numerical summary analyses and structuring content analysis (following Kuckartz 31 ). The coding scheme was formed deductively based on the competence components and inductively expanded in the process. According to the process of Marrelli et al., 10 we thereby identified required knowledge, skills/abilities, attitudes, and personal characteristics, and inductively added experiences. We combined similar characteristics to a category, labelled and defined these competencies, and lastly created an initial list of competencies. In the results section, we will answer the research questions and present the descriptive summaries and content analysis alongside the main coding categories. The discussion section will focus on implications for research, practice, and policy. We did not evaluate the methodological quality of the articles because of the variations in their contents (e.g. study design, target group, intervention, and goals).
Consultation
A librarian and an expert on telerehabilitation supported the review process through consultations to discuss and optimise the methodology. To transfer the results and for transparency, we published a study protocol and we will disseminate the results in the science and practice community (e.g. on scientific conferences, within the final report or via presentations for interested patients and rehabilitation facilities).
Results
In the following, we first describe the process of study selection and the characteristics of included studies (publication year, country, study type, and objective). It follows a description of telerehabilitation programs, including the focused indication and technology used. Then, the results of the content analysis are presented to answer the research questions. First, the tasks associated with the use of telerehabilitation are described. Second, the competencies required for telerehabilitation are presented. Content analysis revealed the following central categories: required literacies, knowledge, skills, attitudes, personal characteristics, and experience.
Article selection
The search yielded in 14,081 articles, of which 5916 were duplicates. Of the remaining 8165 articles, titles/abstracts were screened. Two hundred forty-five articles were eligible for full-text screening. From these, 135 articles were excluded because they were conference abstracts, did not meet our definition of telerehabilitation, did not focus on the home setting or competencies, dealt with telehealth in general or were a study duplicate. Hence, 110 articles were included. The PRISMA flowchart 32 is shown in Figure 1. The data extraction chart is provided in Appendix 3.

PRISMA flowchart.
Study characteristics
Characteristics of telerehabilitation programs

Indication group targeted by telerehabilitation programs of included articles (n = 110).
Tasks associated with the use of telerehabilitation
Required competencies
The required competencies vary according to technology type, program design, and user group. In the following, we examine the required literacies in general and then the competence components of knowledge, skills, attitudes, personal characteristics, and experience.
Further, a lack of technology-related knowledge is a barrier to successfully using telerehabilitation. Articles identify a lack of technical knowledge for patients and health professionals,59,80,118,123 and of knowledge on how to use a device for patients.107,124,125 Further, data security knowledge for both user groups, 108 and knowledge of privacy regulation for health professionals is required.60,104 In view of the above-mentioned tasks, users need to know how to set up hardware/software, don wearables, adapt a program, or handle technical issues.
Health-related knowledge is addressed sporadically. One study states that ‘a lack of knowledge of rehabilitation and how it can occur may be a barrier to engagement with the deployed technology’. 126 The need for health knowledge is mentioned for programs with a high degree of self-management. Accordingly, patients need ‘to be aware of their current body condition and changes in their body’. 112 Knowledge of diseases and exercises is required to ‘know what physiological reactions are acceptable to experience during remote exercise […] [and] what to expect while exercising, especially in relation to any symptoms that may suggest an adverse event’. 88 Both user groups need to know what to do in a medical emergency. 94
Lastly, clinical knowledge related to the job of health professionals is mentioned. On one hand, knowledge obtained during professional training is necessary, on the other hand, practical experience gained through working as a health professional.60,120,127 Further, health professionals need to know how to assure and improve the quality of digital therapies.62,103
Further, the technology itself can be provided with knowledge. This can comprise ‘a combination of medical, psychological, and technical knowledge in the form of embedded algorithms analysing and processing online the data generated by digital technologies. As such, clinical artificial intelligence is expected to play a key role in clinical decision making, online adaptation of therapy exercises, and monitoring of progress […].’ 51
Regarding the cognitive skills of patients, cognitive impairments are mentioned as barriers or exclusion reasons. 34 In the context of aging, older patients may have difficulties processing complex information, comprehending or learning new skills as required for telerehabilitation.75,132 The required cognitive skills depend on the technology, e.g. the therapy duration, complexity of instructions, and cognitive requirements differ. 50 E.g., in a videoconferencing program patients need a higher concentration compared to analogue therapy. 57 Contrary, some articles conclude, that patients with cognitive impairments are able to use their technology effectively.71,133 Furthermore, reading, spelling, and writing skills are necessary.40,109 Additionally, coping and reflection skills are mentioned as facilitators.35,134 Another cognitive skill is self-management, as some programs require more personal contribution.46,104 Related to this is the ability to motivate oneself and self-discipline.46,67,75
Regarding cognitive skills of health professionals, it is stated that with telerehabilitation more independence and self-management is needed.55,60 Next, creativity is needed ‘to balance out some features missing in telerehabilitation.’ 80 Due to the rapid and partly unstructured implementation of programs during the pandemic creative solutions were required from professionals, e.g. when not enough equipment was available.60,61 Following this, health professionals also need adaptability and flexibility regarding digital therapy, which partly needs to be adapted to the patients’ needs. Adaptivity is also needed in order ‘to modify […] materials, their educational techniques, and the setting’ 81 as required. 57 Adapting to online therapy and new environment concerns health professionals and patients. 37 Further, health professionals need the skill to critically reflect technology usage and anticipate challenges of patients.37,50,103 In the context of the telerehabilitation tasks, both user groups need to be self-aware and aware of their surroundings during therapy to comply with the behavioural etiquette. Further, to manage technical difficulties they need to have problem-solving skills.
The technical skills of patients comprise skills in accessing and setting up technology, donning wearables, downloading/navigating a program, communicating via digital devices, adjusting program settings, or maintaining the technology.50,80,82,88,101,115,135–137 Technical skills of health professionals concern technology set up and usage.60,88 However, technical skills are often not further specified.49,74,103,137 Contrary, in Fang et al. 93 and Dodakian et al. 99 it is shown that patients with limited technical skills are able to use the programs effectively.
Next, we will consider required social-interactive skills. First, health professionals must have the ‘ability to create and sustain good human connections with patients’ and between patients.104,106 Thus, they require the skill to initiate social interaction, and to be emphatic and active listeners.94,106 Next, health professionals need skills to motivate patients, despite their physical absence.67,71 Further communication skills include ‘creating a supportive communication environment […], facilitating communication between the group members and managing group dynamics in the online environment’. 37 Users need skills to communicate remotely, e.g. not to interrupt each other.62,63 In difference to analogue therapy they need ‘heightened levels of expression to compensate for limitations in other aspects of non-verbal communication, such as body language, which may not be seen on camera’. 119
A job-related skill of health professionals is the remote monitoring and analysing of patients’ data, clinical status, safety, and progress via digital devices.100,104,131 Referring to the mentioned coaching role, health coaching (going hand in hand with motivation skills) is a new required skill. 103 Further, skills in remote diagnose, e.g. of muscle problems during physiotherapy, are needed. 122 In a program with digital games, the following clinical skills are required: ‘selecting appropriate systems, clients, and games, grading activities, evaluating outcomes, and integrating theoretical approaches […] to gaming-based treatment’. 50 Regarding telerehabilitation tasks, health professionals need the skill to remotely guide patients through therapy, give feedback, document data, and perform quality management.
A negative attitude, including scepticism, concerns, and fear towards telerehabilitation, on the other hand, hinders technology uptake/usage. 115 Concerns of patients refer to trust, security, privacy,112,134 impact, 134 effectiveness, 122 their competence, confidence and comfort in usage,67,109 or lack of social interactions. 91 Health professionals’ concerns involve changes in their work role, tasks, or responsibilities,98,103 relationships with patients, 129 costs, 60 technical issues, 89 users’ competencies/confidence,107,109 data privacy and other ethical/legal concerns,51,108,117 program quality/reliability,116,140 or user-friendliness. 106
Further, disease characteristics can influence the use of telerehabilitation. For example the general health status can affect learning and using telerehabilitation. 129 In Munsell et al. 78 the disease phase impacts engagement with digital therapy, whereas disease duration has no influence in another study. 132 Severe comorbidities, intense symptoms, and complex diseases can lead to a higher demand for support in using the program.70,103 Next, a ‘difficult’ personality of patients is discussed as a barrier. In a program with videoconferencing, 37 health professionals stated that some dominant personalities are difficult to manage remotely. Last, user's confidence in general and in using technology is a required personality trait.68,89,98,107,109,122
In Figures 3 and 4 results are summarised by patients and health professionals.

Preliminary overview of telerehabilitation competencies required by patients.

Preliminary overview of telerehabilitation competencies required by health professionals.
Discussion
Summary of evidence
The scoping review aimed at mapping evidence on competencies in telerehabilitation. We included 110 articles on video conferencing systems, programs with video, audio, or visual therapy content, and wearables. Scientific articles consider competencies only peripherally when analysing implementation factors, usability, or acceptability of such programs. We found that a variety of tasks are associated with telerehabilitation. Depending on the program, tasks before, during, and after a therapy session differ (e.g. technology installation, program adaptation or monitoring). It also varies whether these are performed by health professionals, patients, or technology. We identified, that users need digital, health-related, social, personal, and professional competencies. For successful applications, users need telerehabilitation, as well as technical and health-related knowledge. Health professionals need clinical expertise and practical experience in their job. Technical and communication skills are required, as well as self-management and reading/writing skills on the part of patients, and creativity and clinical skills (e.g. in coaching) on the part of health professionals. In addition to technology affinity and acceptance, motivation and commitment are conducive attitudes. A relevant personality trait is the confidence in one's own abilities. Whether sociodemographic factors such as age or gender promote successful technology use is discussed heterogeneously in the literature.
Research gaps derived
Building on these findings, we identified research gaps. First, we only found a few articles reporting on health-related competencies. Regarding health literacy, only the required health knowledge is mentioned. 139 This is insufficient since health literacy includes diverse skills that enable a profitable, thoughtful use of health services.142,143 Second, we found that health professionals need a range of social skills to remotely build rapport with patients and manage communication. 106 What stands out is that the social skills of patients are not examined in detail. Third, we found that sociodemographic factors may impact successful usage. Interestingly, studies primarily analyse patients’ sociodemographic factors.127,130 Whether e.g. education or gender affects successful usage cannot be answered for health professionals.
Exclusion and inclusion through telerehabilitation
Telerehabilitation offers access to rehabilitation for patients unable or unwilling to attend centre-based therapy, 144 and thus can overcome access barriers such as mobility limitations.145,146 What remains unclear is whether telerehabilitation actually creates a more inclusive and equitable access/usage or whether existing inequalities in health care are being reinforced. In favour of more equitable access is the fact that programs are partly developed in a participatory design, and thus already involve patients and their competencies in the development process.84,135 Other programs are designed for people of all levels of competence, which speaks for a non-discriminating use of telerehabilitation. 33 What speaks against it is the fact that only a minority of programs is developed participatory and thus do not take into account the diversity of patients. 112 Further, we showed that a broad range of competencies is required for successful usage. Users who lack these have bigger challenges benefiting from telerehabilitation. At the same time, certain user groups are excluded from telerehabilitation. This affects people with no access to adequate hardware/equipment or with severe cognitive diseases.57,113,140 Our results are consistent with other studies indicating that people with a lower socioeconomic status, disabilities, limited health/digital literacy, in rural areas, or older people are more likely to lack access to telehealth or to not benefit from it.147–150
Orientation towards user competencies
Telerehabilitation programs must consider users’ competencies. The included articles show that orientation towards competencies takes place before or during program usage. First, a needs-oriented technology development according to users’ competencies is necessary. 92 Next, the selection of patients for telerehabilitation should take into account their competencies. Thus, it has to be decided whether a patient is more suited for analogue, hybrid, or digital services.51,81,123 Partly, health professionals and patients have the option to choose between different programs, technologies, or devices.47,91 In this case, the users’ competencies must be considered. During technology usage orientation towards users’ competencies can take place through adapting the program (e.g. therapy content, difficulty) to the patient.51,86
Comparison with prior work
Future implications
As mentioned above, a review is only the first step in developing a competence framework by generating a preliminary list of competencies. 10 The next step is to involve the target groups and confirm the identified competencies. The development of a competence model for patients would be a great innovation, in particular because prior competence frameworks for telehealth have exclusively focused on health professionals so far.14–17 As we identified that competencies differ by indication and health profession, it could be useful to create competence profiles for different professions or different disease patterns/severities in the future. These could be used in the recruitment process of appropriate staff or the selection of patients for telerehabilitation.
Further, equitable access to and utilisation of high-quality rehabilitative services for all patients must be expanded. The use of rehabilitative technologies should therefore not exclude or disadvantage specific groups. From a political perspective, this also means expanding the technology infrastructure (especially in rural areas). Telerehabilitation should be an extension and no replacement for analogue services. In this sense, patients should be able to decide together with their health professionals and based on personal preferences and competencies, which model of rehabilitation (digital, in-person, or hybrid) they want to use.34,147
Subsequently, preparation, usage, and follow-up of telerehabilitation by patients should be supported to ensure success. This can include on-site, telephone or digital support, or the possibility of borrowing equipment. Patients and health professionals should be provided with education and training prior and during program usage. 149 Regarding health professionals, telerehabilitation competencies should already be taught in vocational training.57,115
Limitations
The article includes a few limitations. First, we did not evaluate the quality of the included studies and included less evidence-based content like discussion papers. Thus, the results are partly based on individual opinions, are not reliable regarding the causality or significance of effects and do not reflect a consensus among experts. Second, the analysis was complicated by the fact that relevant terms, like literacy, skills, abilities, or competencies, were partly used synonymously or not clearly distinguished from one another in the underlying articles. Third, the generalisability of results to specific jobs in specific countries is limited. This is due to different structures of (tele)rehabilitation systems in the countries. For example, different countries have different professions/jobs for the execution of teletherapy. Lastly, in deviation from the research protocol, we did not screen the reference list of identified articles due to time constraints. This could have resulted in not finding all relevant articles.
Conclusions
We found that a variety of competencies – namely knowledge, skills, attitudes, and personal traits – are required to successfully use telerehabilitation. Competence frameworks do not yet exist in the field of telerehabilitation. The required competencies differ depending on the program and which tasks are performed by health professionals, patients, or the technology. Research gaps exist regarding the relevance of socio-demographic factors or different health-related competencies for both user groups and social competencies on the part of patients.
Supplemental Material
sj-docx-1-dhj-10.1177_20552076231218841 - Supplemental material for Competencies required by patients and health professionals regarding telerehabilitation: A scoping review
Supplemental material, sj-docx-1-dhj-10.1177_20552076231218841 for Competencies required by patients and health professionals regarding telerehabilitation: A scoping review by Anna Lea Stark, Stephan Krayter and Christoph Dockweiler in DIGITAL HEALTH
Supplemental Material
sj-docx-2-dhj-10.1177_20552076231218841 - Supplemental material for Competencies required by patients and health professionals regarding telerehabilitation: A scoping review
Supplemental material, sj-docx-2-dhj-10.1177_20552076231218841 for Competencies required by patients and health professionals regarding telerehabilitation: A scoping review by Anna Lea Stark, Stephan Krayter and Christoph Dockweiler in DIGITAL HEALTH
Supplemental Material
sj-xlsx-3-dhj-10.1177_20552076231218841 - Supplemental material for Competencies required by patients and health professionals regarding telerehabilitation: A scoping review
Supplemental material, sj-xlsx-3-dhj-10.1177_20552076231218841 for Competencies required by patients and health professionals regarding telerehabilitation: A scoping review by Anna Lea Stark, Stephan Krayter and Christoph Dockweiler in DIGITAL HEALTH
Footnotes
Contributorship
ALS and SK researched literature and conceived the study. ALS and SK were involved in protocol development, gaining ethical approval, and data analysis. ALS wrote the first draft of the manuscript. CD supervised the research, supported the writing process, and provided critical input. All authors reviewed and edited the manuscript and approved the final version of the manuscript.
Declaration of conflicting interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Ethical approval and patient consent
The ethics committee of the University of Siegen approved this study (ER_4/2022). The study is a review of the literature and did not require patient consent.
Funding
The research project was financed by the German Pension Insurance Rhineland/Westphalia (‘Deutsche Rentenversicherung Rheinland/Westfalen’) under the roof of the Society for Rehabilitation Sciences North Rhine-Westphalia (‘Gesellschaft für Rehabilitationswissenschaften NRW’).
Guarantor
ALS.
Supplemental material
Appendix 1: PRISMA-ScR checklist; Appendix 2: Search strategy for MEDLINE; Appendix 3: Data extraction chart. Supplemental material for this article is available online.
References
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