1. Introduction
With an ageing global population and an increasing burden of non-communicable diseases such as musculoskeletal disorders, diabetes and stroke, healthcare systems are facing significant challenges [
1]. In 2022, more than a fifth of the German population was aged 65 or older. According to demographic projections, this percentage will rise to 28% by 2050 [
2]. This will also lead to a rising number of people affected by musculoskeletal diseases and resulting chronic impairments in Germany [
1,
3]. The German healthcare system is already experiencing funding problems and costs in the healthcare professions have risen sharply in recent years [
4]. A closer look at the costs spent on physiotherapy reveals a high demand for outpatient first care physiotherapy. In 2021, there were over 34 million medical prescriptions distributed among approximately 8.7 million members of a public health insurance company [
4]. Expenditure on prescribed outpatient therapies reported by this insurance company totaled more than €1.4 billion in 2021. Physiotherapy accounted for 73.1% of the costs incurred in this area, with an increase of at least 50% over the last 5 years [
4]. This highlights the need for innovative solutions to ensure adequate healthcare in the future.
Digitalization offers an opportunity for more effective and therefore more cost-efficient care in the healthcare system in general and in the therapy professions in particular. To ensure an equitable and appropriate medical service, the German government has responded with the policy Accelerating the Digitalization of the Healthcare System [
5]
, which aims to support digital technologies to meet the current challenges in the healthcare system. One of these digital technologies is Virtual Reality (VR). Positive effects of VR interventions have already been observed in for example the treatment of patients undergoing chemotherapy [
6]
, after stroke [
7,
8]
, after spinal cord injury [
9]
, but also in elderly people with cognitive impairment [
10]
and in children undergoing clinical procedures [
11]
.
When implementing VR interventions in health care, there is already initial knowledge about the barriers and facilitators that may be encountered. Previous research has identified organizational structures and the VR technology itself as barriers to implementing VR interventions in various healthcare settings [
12,
13,
14]. Regarding the use of VR in physiotherapy, the VR device itself seems to be a major barrier due to technical limitations and inappropriate VR devices for specific patients and their needs. Also, lack of appropriate tutorials in the VR software and lack of protocols for VR interventions are barriers, and patient-related factors such as low gaming skills play a role in the implementation of VR interventions [
15,
16]. Conversely, staff and health care professionals can act as facilitators by reducing anxiety about new technologies and changing patients' attitudes toward VR. Healthcare professionals are also generally interested in using VR in rehabilitation and have positive expectations of therapeutic VR in treatment and rehabilitation. In addition, patients also have positive expectations, describing VR as a treatment that they find fun and enjoyable [
13,
14,
15,
16].
There is still very little research into whether and how therapeutic VR is being used in healthcare and physiotherapy. Virtual reality has been widely used in medicine during the COVID-19 pandemic, with positive effects on the treatment of various health conditions [
17]. A survey in the Netherlands showed that only about 7% of physiotherapists there use therapeutic VR. A regression analysis showed that only the size of the practice was associated with the use of VR [
18]. However, the frequency of use in physiotherapy in Germany is currently unknown.
Therefore, the aim of this study was to describe how many physiotherapists in Germany use therapeutic VR. Secondary aims were to describe how they use therapeutic VR and if they do not use it, what the reasons are.
2. Materials and Methods
A cross-sectional survey was conducted to determine the extent of virtual reality intervention in physiotherapy in Germany. The survey did not require an approved ethics proposal as no vulnerable group was targeted and all data was collected and analyzed anonymously at all times. The research group is committed to respecting the German Research Foundation's Guidelines for Safeguarding Good Scientific Practice [
19] and the Declaration of Helsinki [
20] throughout the research process. The data were collected in May and June 2024 using SoSci Survey [
21]. This study is reported in accordance with the Checklist for Reporting Results of Internet E-Survey (CHERRIES) [
22].
2.1. Questionnaire
The questionnaire is based on a Dutch questionnaire used by Slatman et al, 2024 [
18]. Items were adapted to reflect the differences between the Dutch and German health systems and to broaden the questionnaire from chronic pain treatment with therapeutic VR to general use in physiotherapy. For example, the item on the highest professional degree was adapted as there are different educational paths in physiotherapy in Germany than in the Netherlands. In order to cover the breadth of physiotherapy, an item was added asking about the area of application of therapeutic VR. The survey included five demographic questions (gender, age, practice size, years of experience as a physiotherapist, physiotherapy specialization). Physiotherapists who had used therapeutic VR in the past year had to answer 13 questions and physiotherapists who had not used therapeutic VR had to answer 7 questions. A filter question was used to guide participants to the relevant questions. The order of the questions was constant, with no alternation or randomization. All questions had to be answered before the survey could be completed, and there was a 'no information' option in all questions if a physiotherapist did not wish to answer a particular question. The survey took physiotherapists approximately five minutes to complete if they used therapeutic VR and three minutes if they did not and there was no option to go back through the survey to change answers on previous pages. The survey was pilot tested by 8 physiotherapists who were not part of the research group and the survey can be found in the Appendix (A).
2.2. Recruitment
The survey was open, with no password protection, as the aim of the recruitment strategy was to reach a wide range of diverse physiotherapists. Participants should preferably come from different areas of physiotherapy and have different experience, qualifications or specializations. It was therefore decided to contact a national professional association, professional training centers, rehabilitation clinics, general hospitals and registered outpatient practices in urban or rural areas directly by email. In addition, personal contacts and social media, particularly Instagram, were used by the research group to disseminate the survey to potential participants. All participants responded to the survey voluntarily and received no compensation for their participation.
2.3. Sample Size
According to Mossig (2012) [
23], the sample size must be at least 384 from a population of approximately 250,000 physiotherapists in Germany to deviate by no more than 5 percentage points from the actual result of the population with a confidence level of 95%.
2.4. Analysis
The collected data was downloaded and analyzed using SPSS version 28 (IBM corporation, Armonk, NY). The demographic data were tested for normal distribution and presented by median, interquartile range (IQ) and frequencies. The results to the closed-ended questions were analyzed by calculating percentages and presented in tables and graphs. The results were then compared with a recent study using the same methods and aims in the Netherlands [
18].
3. Results
Approximately 1000 emails were sent with a request for voluntary participation and an online link. Two reminder emails were sent one and four weeks later. In total, the survey was clicked on 1143 times. Of these, 266 physiotherapists completed the survey and 296 completed the survey to the extent that we considered it valid. This was the point at which participants voted on the primary research question of whether they had used therapeutic VR in the last 12 months. Therefore, 296 records were included in the analysis, the demographic characteristics of which are shown in
Table 1. The median age of the total sample was 46 years with an IQ of 25 years. The majority of participants were female (66.2%) and held a vocational qualification as their highest level of qualification (68.2%). Nearly half of participants had a working experience of 20 years or more (49.7%).
Of the 296 participating physiotherapists, 8 (2.7%) used therapeutic VR in their treatments in the past 12 months. The median age of these physiotherapists was 47 years (IQ 36). Compared to the physiotherapists who did not use VR, it appears that more of them had an academic degree and that there were either more than twenty other physiotherapists or only one physiotherapist employed in the facilities where they worked. There is no recognizable difference in terms of work experience.
Physiotherapists used therapeutic VR with patients of all ages. It was most commonly used for neurological conditions, chronic pain and musculoskeletal conditions. Almost all physiotherapists used therapeutic VR to activate their patients, but also other proposed working mechanisms such as relaxation and education are used. Full details of use are given in
Table 2.
17 of the total sample of physiotherapists used therapeutic VR in the past but no longer do so. The main reasons for stopping therapeutic VR were costs and dissatisfying results. Most of them used it for musculoskeletal conditions and considering to use therapeutic VR again in the future. See
Table 3 for more details.
The main reason why physiotherapists in Germany had never used therapeutic VR was because they had never heard of it, with only a few stating that costs were the main barrier. Overall, 34.4% of all physiotherapists can imagine using therapeutic VR in the future, 41.4% said maybe and 18.3% said they will not use it in the future.
Table 4 provides more information about how physiotherapists imagine using therapeutic VR in the future.
Compared to a study by Slatman et al. (2024) [
18] in the Netherlands, the frequency of use of therapeutic VR in Germany is slightly different (
Table 5). In Germany, 2.7% of physiotherapists use therapeutic VR, compared to 7.3% in the Netherlands. Adding the two samples together results in a frequency of use of 5.0% with a sample size of 515 physiotherapists.
4. Discussion
This was the first survey to gain insight into the use of therapeutic VR in physiotherapy care in Germany. Out of 296 physiotherapists, a minority of 2.8% had used therapeutic VR in the last twelve months. The main reason for this lack of use is that 67.2% of participants have never heard of therapeutic VR. However, 75.8% can imagine using therapeutic VR in their treatments in the future.
A comparison of the sample in this study with the population revealed slight differences. In terms of gender distribution, 74.6% of physiotherapists in Germany are female in the population [
24]. In our sample, 66.2% of respondents classified themselves as female. 32.8% of the sample have an academic degree, which is significantly higher than in the population, as the scientific service of the German Bundestag stated a rate of 2.65% for physiotherapists with an academic degree in 2021 [
25]. The distribution of physiotherapists in the different settings of outpatient care, clinical and rehabilitation centers reflects the population well [
26].
The limited use of therapeutic VR is also reflected in a recent survey in the Netherlands. There, 7% of physiotherapists reported using therapeutic VR to treat people with chronic pain, and a regression analysis showed that the larger the physiotherapy practice, the more likely it was to use therapeutic VR [
18]. Interestingly, our data also show that therapeutic VR was mainly used in larger facilities with more than 20 physiotherapists. It also emerged that physiotherapists in both the Netherlands and Germany use therapeutic VR with a wide range of age groups of patients and target coordination, mobility and pain relief for their patients. Similarly, the overall experience of therapeutic VR was comparable with 7.0 in the Netherlands and 6.43 in this study [
18].
Very little is known about the extent to which digital applications are used in physiotherapy in Germany. According to a survey conducted in 2018 and 2019, only 2.8% of physiotherapists use telemedicine and only 15% use electronic patient files [
27]. However, much has changed in the area of digitalization since then, due to the COVID19 pandemic, and some implementation processes may have been accelerated, so the number is likely to be higher. Another indicator that usage could increase in the coming years is the positive attitude of physiotherapists and patients towards digital applications [
28,
29], as shown in other research that health care professionals play a key role in the implementation of digital interventions [
30].
This study shows that many physiotherapists are also considering the use of therapeutic VR (76.7%). The main barrier seems to be that many have not received any information about the possibility of treatment with therapeutic VR (67.2%). This is in line with the results of the survey in the Netherlands, where 71.4% of physiotherapists reported that they were unfamiliar with therapeutic VR [
18]. This barrier is also evident in the adoption of other digital health applications (Digitale Gesundheitsanwendungen [DiGA] [
31]) in Germany. A survey showed that little, bad or no experience with applications is a barrier and that this leads to low abilities and confidence in using technology [
32]. Therefore, part of a strategy to increase the use of therapeutic VR and other digital applications could be to promote them to relevant professional groups through various channels.
Only around 10% of physiotherapists say that costs are a barrier to use therapeutic VR in their treatment. However, it is still a problem that treatment with therapeutic VR or other digital applications cannot yet be reimbursed separately by health insurance companies. This means that any additional costs cannot be reimbursed by physiotherapists. The exception is digital health applications, but this register does not yet include any therapeutic VR [
33].
Based on our results, future steps could be to taken to make therapeutic VR more widely known within the physiotherapy community, for example through articles in practitioner journals or presentations at congresses. Another option would be to develop specific implementation strategies to support adoption and help ensure that therapeutic VR is used sustainably. Another possible step towards a more impactful use of VR would be a more precise understanding of how therapeutic VR works, for whom and at what dosage, in order to be able to make precise recommendations to physiotherapists.
5. Limitations
The survey also has various limitations. In regards to the sample, the number of participating physiotherapists did not reach the intended sample size of 384. This can lead to bias, which may limit the generalization of the results. Similarly, the small number of physiotherapists who have used therapeutic VR in the last year means that the validity of our results is compromised in regards to factors that influence its use and in which areas therapeutic VR is primarily used.
Supplementary Materials
The following supporting information can be downloaded at the website of this paper posted on Preprints.org, Figure S1: title; Table S1: title; Video S1: title.
Author Contributions
Conceptualization, A.E., S.S. (Syl Slatman), A.G.S.; methodology, A.E., S.S. (Syl Slatman), A.G.S.; investigation, A.E., M.O., C.F., M.L., S.S. (Sophie Schiebler), S.S. (Sandra Schmieder); analysis A.E., M.O., C.F., M.L., S.S. (Sophie Schiebler), S.S. (Sandra Schmieder), A.G.S.; writing—original draft preparation A.E., M.O.; writing—review and editing A.E., M.O., C.F., M.L., S.S. (Sophie Schiebler), S.S. (Sandra Schmieder), S.S. (Syl Slatman), A.G.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The survey did not require an approved ethics proposal as no vulnerable group was targeted and all data was collected and analyzed anonymously at all times. The research group has also committed to respecting the German Research Foundation's Guidelines for Safeguarding Good Scientific Practice [
19] and the Declaration of Helsinki [
20] throughout the research process.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data sets generated and analyzed during this study are available from the corresponding author on reasonable request.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Collaborators, G. 2021 F. Burden of Disease Scenarios for 204 Countries and Territories, 2022–2050: A Forecasting Analysis for the Global Burden of Disease Study 2021. Lancet (London, England) 2024, 403, 2204. [Google Scholar] [CrossRef]
- Germany: Country Health Profile 2023; OECD, European Observatory on Health Systems and Policies, Eds. ; State of Health in the EU; OECD Publishing: Paris, 2023; ISBN 978-92-64-89861-5. [Google Scholar]
- Lange, C.; Jentsch, F.; Allen, J.; Hoebel, J.; Kratz, A.L.; von der Lippe, E.; Müters, S.; Schmich, P.; Thelen, J.; Wetzstein, M.; et al. Data Resource Profile: German Health Update (GEDA)—the Health Interview Survey for Adults in Germany. International Journal of Epidemiology 2015, 44, 442–450. [Google Scholar] [CrossRef] [PubMed]
- Schmitt, N.; Wende, D. BARMER Heilmittelreport 2022; BARMER: DE, 2023. [Google Scholar]
- Bundesministerium fur Gesundheit Gesetz Zur Beschleunigung Der Digitalisierung Des Gesundheitswesens (Digital-Gesetz – DigiG); 2024.
- Alvarado-Omenat, J.J.; Llamas-Ramos, R.; García-García, D.; Correyero-León, M.; Fonseca-Sánchez, E.; Llamas-Ramos, I. Effectiveness of Virtual Reality in Cancer Patients Undergoing Chemotherapy. Systematic Review. International Journal of Cancer n/a. [CrossRef]
- Bargeri, S.; Scalea, S.; Agosta, F.; Banfi, G.; Corbetta, D.; Filippi, M.; Sarasso, E.; Turolla, A.; Castellini, G.; Gianola, S. Effectiveness and Safety of Virtual Reality Rehabilitation after Stroke: An Overview of Systematic Reviews. eClinicalMedicine 2023, 64. [Google Scholar] [CrossRef] [PubMed]
- Wang, S.; Meng, H.; Zhang, Y.; Mao, J.; Zhang, C.; Qian, C.; Ma, Y.; Guo, L. Effect of Virtual Reality-Based Rehabilitation on Mental Health and Quality of Life of Stroke Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Archives of Physical Medicine and Rehabilitation 2024, 0. [Google Scholar] [CrossRef]
- Wang, L.; Zhang, H.; Ai, H.; Liu, Y. Effects of Virtual Reality Rehabilitation after Spinal Cord Injury: A Systematic Review and Meta-Analysis. Journal of NeuroEngineering and Rehabilitation 2024, 21, 191. [Google Scholar] [CrossRef]
- Mao, Q.; Zhao, Z.; Yu, L.; Zhao, Y.; Wang, H. The Effects of Virtual Reality–Based Reminiscence Therapies for Older Adults With Cognitive Impairment: Systematic Review. Journal of Medical Internet Research 2024, 26, e53348. [Google Scholar] [CrossRef]
- Priyadarshini, S.; Agarwala, S.; Priya, H.; Jain, V.; Goel, P.; Dhua, A.K.; Yadav, D.K.; Anand, S.; Patel, N. Is Virtual Reality Effective in Decreasing Pain during Clinical Procedures among Children: A Systematic Review and Meta-Analysis. J Indian Assoc Pediatr Surg 2024, 29, 465–478. [Google Scholar] [CrossRef]
- Glegg, S.M.N.; Levac, D.E. Barriers, Facilitators and Interventions to Support Virtual Reality Implementation in Rehabilitation: A Scoping Review. PM R 2018, 10, 1237–12511. [Google Scholar] [CrossRef]
- Hung, L.; Mann, J.; Wallsworth, C.; Upreti, M.; Kan, W.; Temirova, A.; Wong, K.L.Y.; Ren, H.; To-Miles, F.; Wong, J.; et al. Facilitators and Barriers to Using Virtual Reality and Its Impact on Social Engagement in Aged Care Settings: A Scoping Review. Gerontology and Geriatric Medicine 2023, 9, 233372142311663. [Google Scholar] [CrossRef]
- Kouijzer, M.M.T.E.; Kip, H.; Bouman, Y.H.A.; Kelders, S.M. Implementation of Virtual Reality in Healthcare: A Scoping Review on the Implementation Process of Virtual Reality in Various Healthcare Settings. Implement Sci Commun 2023, 4, 67. [Google Scholar] [CrossRef]
- Brepohl, P.C.A.; Leite, H. Virtual Reality Applied to Physiotherapy: A Review of Current Knowledge. Virtual Reality 2022. [Google Scholar] [CrossRef]
- Elser, A.; Lange, M.; Kopkow, C.; Schäfer, A.G. Barriers and Facilitators to the Implementation of Virtual Reality Interventions for People With Chronic Pain: Scoping Review. JMIR XR and Spatial Computing (JMXR) 2024, 1, e53129. [Google Scholar] [CrossRef]
- Pallavicini, F.; Pepe, A.; Clerici, M.; Mantovani, F. Virtual Reality Applications in Medicine During the COVID-19 Pandemic: Systematic Review. JMIR Serious Games 2022, 10, e35000. [Google Scholar] [CrossRef] [PubMed]
- Slatman, S.; Staal, J.B.; van Goor, H.; Ostelo, R.; Soer, R.; Knoop, J. Limited Use of Virtual Reality in Primary Care Physiotherapy for Patients with Chronic Pain. BMC Musculoskeletal Disorders 2024, 25, 168. [Google Scholar] [CrossRef] [PubMed]
- Deutsche Forschungsgemeinschaft Leitlinien zur Sicherung guter wissenschaftlicher Praxis 2022.
- World Medical Association World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA 2013, 310, 2191–2194. [CrossRef]
- Leiner, D.J. SoSci Survey.
- Eysenbach, G. Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J Med Internet Res 2004, 6, 34. [Google Scholar] [CrossRef]
- Mossig, I. Stichproben, Stichprobenauswahlverfahren und Berechnung des minimal erforderlichen Stichprobenumfangs; Universität Bremen, Institut für Geographie: Bremen, 2012. [Google Scholar]
- Bundesagentur für Arbeit Statistik Der Bundesagentur Für Arbeit - Beschäftigte Nach Berufen Available online:. Available online: https://statistik.arbeitsagentur.de/SiteGlobals/Forms/Suche/Einzelheftsuche_Formular.html?topic_f=beschaeftigung-sozbe-bo-heft (accessed on 28 October 2024).
- Wissenschaftliche Dienste, Deutscher Bundestag Zur Akademisierung in der Physiotherapie, Logopädie und Ergotherapie Zur Akademisierung in der Physiotherapie, Logopädie und Ergotherapie 2021.
- Physio Deutschland Zahlen, Daten, Fakten zur Physiotherapie 2021.
- Estel, K.; Scherer, J.; Dahl, H.; Wolber, E.; Forsat, N.D.; Back, D.A. Potential of Digitalization within Physiotherapy: A Comparative Survey. BMC Health Services Research 2022, 22, 496. [Google Scholar] [CrossRef]
- Merolli, M.; Gray, K.; Choo, D.; Lawford, B.J.; Hinman, R.S. Use, and Acceptability, of Digital Health Technologies in Musculoskeletal Physical Therapy: A Survey of Physical Therapists and Patients. Musculoskeletal Care 2022, 20, 641. [Google Scholar] [CrossRef]
- Lawford, B.J.; Delany, C.; Bennell, K.L.; Hinman, R.S. “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 and Cartilage 2018, 26, 741–750. [Google Scholar] [CrossRef]
- Konttila, J.; Siira, H.; Kyngäs, H.; Lahtinen, M.; Elo, S.; Kääriäinen, M.; Kaakinen, P.; Oikarinen, A.; Yamakawa, M.; Fukui, S.; et al. Healthcare Professionals’ Competence in Digitalisation: A Systematic Review. J Clin Nurs 2019, 28, 745–761. [Google Scholar] [CrossRef]
- Sauermann, S.; Herzberg, J.; Burkert, S.; Habetha, S. DiGA – A Chance for the German Healthcare System. Journal of European CME 2022, 11, 2014047. [Google Scholar] [CrossRef] [PubMed]
- Giebel, G.D.; Speckemeier, C.; Abels, C.; Plescher, F.; Börchers, K.; Wasem, J.; Blase, N.; Neusser, S. Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review. Journal of Medical Internet Research 2023, 25, e43808. [Google Scholar] [CrossRef] [PubMed]
- Verzeichnis | DiGA-Verzeichnis Available online:. Available online: https://diga.bfarm.de/de/verzeichnis (accessed on 4 November 2024).
Table 1.
Demographic characteristics of participating physiotherapists.
Table 1.
Demographic characteristics of participating physiotherapists.
| |
Physiotherapists using VR |
Physiotherapists not using VR |
Total sample |
| N (%) |
8 (2.7) |
288 (97.3) |
296 (100) |
| Age, median (IQ) |
47 (36) |
46 (24) |
46 (25) |
| Gender, n (%) |
|
|
|
| Female |
4 (50) |
192 (66.7) |
196 (66.2) |
| Male |
3 (37.5) |
93 (32.3) |
96 (32.4) |
| Divers |
1 (12.5) |
1 (0.3) |
2 (0.7) |
| No information |
0 |
2 (0.7) |
2 (0.7) |
| Highest Degree, n (%) |
|
|
|
| Vocational certificate |
1 (12.5) |
201 (69.8) |
202 (68.2) |
| Bachelor`s |
4 (50) |
53 (18.4) |
57 (19.3) |
| Master`s |
1 (12.5) |
12 (4.2) |
13 (4.4) |
| Doctoral |
1 (12.5) |
2 (0.7) |
3 (1.0) |
| Other |
1 (12.5) |
14 (4.9) |
15 (5.1) |
| No information |
0 |
6 (2.1) |
6 (2.0) |
| Professional experience, n (%) |
|
|
|
| 0-4 years |
2 (25.0) |
41 (14.2) |
43 (14.5) |
| 5-9 years |
3 (37.5) |
30 (10.4) |
33 (11.1) |
| 10-14 years |
0 |
32 (11.1) |
32 (10.8) |
| 15-19 years |
0 |
33 (11.5) |
33 (11.1) |
| 20+ years |
2 (25.0) |
145 (50.3) |
147 (49.7) |
| No information |
1 (12.5) |
7 (2.4) |
8 (2.7) |
| Physiotherapists employed at the facility, n (%) |
|
|
|
| 1 |
2 (25.0) |
29 (10.1) |
31 (10.5) |
| 2-4 |
0 |
75 (26.0) |
75 (25.3) |
| 5-9 |
0 |
72 (25.0) |
72 24.3 |
| 10-14 |
0 |
35 (12.2) |
35 (11.8) |
| 15-19 |
0 |
19 (6.6) |
19 (6.4) |
| 20-24 |
1 (12.5) |
6 (2.1) |
7 (2.4) |
| 25-30 |
1 (12.5) |
8 (2.8) |
9 (3.0) |
| 30+ |
4 (50.0) |
39 (13.5) |
43 (14.5) |
| No information |
0 |
5 (1.7) |
5 (1.7) |
| Setting, n (%)1 |
|
|
|
| Outpatient practice |
3 (37.5) |
204 (70.8) |
207 (69.9) |
| Acute care clinic |
5 (62.5) |
52 (18.1) |
57 (19.3) |
| Inpatient rehabilitation |
2 (25.0) |
26 (9.0) |
28 (9.5) |
| Outpatient rehabilitation |
1 (12.5) |
5 (1.7) |
6 (2.0) |
| Other |
1 (12.5) |
19 (6.6) |
19 (6.4) |
| Specialization, n (%)1 |
|
|
|
| Musculoskeletal physiotherapy (orthopedics/manual therapy) |
4 (50) |
197 (68.4) |
201 (67.9) |
| Post-operative rehabilitation |
3 (37.5) |
114 (39.6) |
117 (39.5) |
| Pediatric physiotherapy |
0 |
43 (14.9) |
43 (14.5) |
| Neurological physiotherapy |
5 (62.5) |
114 (39.6) |
119 (40.2) |
| Sports physiotherapy |
1 (12.5) |
55 (19.1) |
56 (18.9) |
| Psychosomatic physiotherapy |
2 (25.0) |
19 (6.6) |
21 (7.1) |
| Geriatric physiotherapy |
2 (25.0) |
63 (21.9) |
65 (22.0) |
| Palliative care |
0 |
27 (9.4) |
27 (9.1) |
| Gynecology |
1 (12.5) |
32 (11.1) |
33 (11.1) |
| No specialization |
0 |
15 (5.2) |
15 (5.1) |
| Other |
0 |
30 (10.4) |
30 (10.1) |
Table 2.
Characteristics of therapeutic VR use (n=8).
Table 2.
Characteristics of therapeutic VR use (n=8).
| Age of patient receiving therapeutic VR, n (%)1
|
| < 18 years |
3 (37.5) |
| 18-30 years |
2 (25) |
| 31-50 years |
4 (50) |
| 51-70 years |
4 (50) |
| > 71 years |
1 (12.5) |
| Patient`s condition receiving therapeutic VR, n (%)1 |
| Neurological condition |
6 (75) |
| Musculoskeletal condition |
4 (50) |
| Chronic pain |
4 (50) |
| Medically unexplained symptoms |
3 (37.5) |
| Geriatrics |
3 (37.5) |
| Pediatrics |
1 (12.5) |
| Cardiopulmonary condition |
1 (12.5) |
| Oncological condition |
0 |
| Other |
0 |
| No information |
0 |
| Proposed working mechanism VR, n (%)1 |
| Activation |
7 (87.5) |
| Relaxation |
5 (62.5) |
| Reducing fear of movement |
4 (50) |
| Education |
3 (37.5) |
| Other |
0 |
| Treatment goal of therapeutic VR, n (%)1 |
| Improve coordination |
6 (75) |
| Improve physical mobility |
5 (62.5) |
| Improve strength |
5 (62.5) |
| Improve stability |
4 (50) |
| Reduce pain |
4 (50) |
| Improve endurance |
2 (25) |
| Other |
2 (25) |
| Overall experience with therapeutic VR |
| 0 (extremely bad) to 10 (extremely good) |
6.43 |
Table 3.
Previous use of therapeutic VR by physiotherapists (n=17).
Table 3.
Previous use of therapeutic VR by physiotherapists (n=17).
| Reasons for quitting therapeutic VR, n (%)1
|
| Costs |
7 (41.2) |
| Dissatisfied with the results |
5 (29.4) |
| Other reasons |
5 (29.4) |
| Negative experiences of patients |
2 (11.8) |
| Negative experiences of therapists |
0 |
| No information |
4 (23.5) |
| Patient`s condition receiving therapeutic VR, n (%)1 |
| Neurological condition |
4 (23.5) |
| Musculoskeletal condition |
10 (58.8) |
| Chronic pain |
4 (23.5) |
| Medically unexplained symptoms |
1 (5.9) |
| Geriatrics |
0 |
| Pediatrics |
0 |
| Cardiopulmonary condition |
2 (11.8) |
| Oncological condition |
0 |
| Other |
0 |
| No information |
2 (11.8) |
| Consideration of future use of therapeutic VR, n (%) |
| Yes |
10 (58.8) |
| No |
3 (17.7) |
| Maybe |
3 (17.7) |
| No information |
1 (5.9) |
Table 4.
Future use of therapeutic VR by physiotherapists who have never used it before (n=241).
Table 4.
Future use of therapeutic VR by physiotherapists who have never used it before (n=241).
| Reasons why therapeutic VR has not yet been used, n (%)1
|
| I have never heard anything about it before |
162 (67.2) |
| Other reasons |
43 (17.8) |
| I don't treat suitable patients |
34 (14.1) |
| Costs |
26 (10.8) |
| No information |
11 (4.6) |
| What conditions could you imagine using therapeutic VR for? n, (%)1 |
| Neurological condition |
30 (12.4) |
| Musculoskeletal condition |
101 (41.9) |
| Chronic pain |
94 (39) |
| Medically unexplained symptoms |
35 (14.5) |
| Geriatrics |
50 (20.7) |
| Pediatrics |
46 (19.1) |
| Cardiopulmonary condition |
30 (12.4) |
| Oncological condition |
30 (12.4) |
| Other |
11 (4.6) |
| No information |
82 (34) |
| Consideration of future use of therapeutic VR, n (%) |
| Yes |
83 (34.4) |
| No |
44 (18.3) |
| Maybe |
100 (41.4) |
| No information |
14 (5.8) |
Table 5.
Comparison of the use of therapeutic VR by physiotherapists between Germany Netherlands [
18].
Table 5.
Comparison of the use of therapeutic VR by physiotherapists between Germany Netherlands [
18].
| |
Physiotherapists using VR |
Physiotherapists not using VR |
Total |
|
Germany, n (%) |
8 (2.7) |
288 (97.3) |
296 |
|
Netherlands, n (%) |
18 (7.3) |
227 (92.7) |
345 |
|
Total, n (%) |
26 (5.0) |
515 (95) |
541 |
|
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