| Literature DB >> 34093330 |
Kat R Agres1, Katrien Foubert2,3,4, Siddarth Sridhar5.
Abstract
In recent years, the field of music therapy (MT) has increasingly embraced the use of technology for conducting therapy sessions and enhancing patient outcomes. Amidst a worldwide pandemic, we sought to examine whether this is now true to an even greater extent, as many music therapists have had to approach and conduct their work differently. The purpose of this survey study is to observe trends in how music therapists from different regions around the world have had to alter their practice, especially in relation to their use of technology during the COVID-19 pandemic, because of limited options to conduct in-person therapy due to social distancing measures. Further, the findings aim to clarify music therapists' perspectives on the benefits and limitations of technology in MT, as well as online MT. In addition, this survey investigated what changes have been necessary to administer MT during COVID-19, in terms of virtual therapy and online tools, and how the changes made now may affect MT in the future. We also explored music therapists' views on whether special technology-focused training might be helpful to support the practice of MT in the future. This is the first survey, to our knowledge, to break down opinions of and trends in technology use based on geographical region (North America, Europe, and Asia), and several noteworthy differences were apparent across regions. We hope our findings provide useful information, guidance, and a global reference point for music therapists on effectively continuing the practice of MT during times of crisis, and can encourage reflection and improvement in administering MT.Entities:
Keywords: COVID-19 pandemic; music technology; music therapy; online tools; regional comparisons; regional practices; teletherapy
Year: 2021 PMID: 34093330 PMCID: PMC8177049 DOI: 10.3389/fpsyg.2021.647790
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Overview of general patient characteristics.
| (a) Breakdown of age range of patients seen by music therapists. | |||||||
| 0–9 | 56 (50%) | ||||||
| 10–19 | 61 (54.5%) | ||||||
| 20–29 | 60 (53.6%) | ||||||
| 30–39 | 53 (47.3%) | ||||||
| 40–49 | 50 (44.6%) | ||||||
| 50–59 | 54 (48.2%) | ||||||
| 60+ | 67 (59.8%) | ||||||
| 19 | 63 | 9 | 37 | 32 | 11 | 13 | |
| Europe | 7 (13.0%) | 22 (40.7%) | 5 (9.3%) | 30 (55.6%) | 12 (22.2%) | 6 (11.1%) | 4 (7.4%) |
| North America | 6 (19.4%) | 18 (58.1%) | 3 (9.7%) | 4 (12.9%) | 10 (32.3%) | 3 (9.8%) | 4 (12.9%) |
| Asia/Oceania | 6 (22.2%) | 23 (85.2%) | 1 (3.7%) | 3 (11.1%) | 10 (37.0%) | 2 (7.4%) | 5 (18.5%) |
Overview of technologies used, and those that would be beneficial in the future (total number of affirmative responses across participants is provided in both columns).
| Type of Music Technology | What technologies have you previously used during music therapy sessions? | What types of technology would be most beneficial to your practice of music therapy that you do not currently use? |
| Specialized Music Therapy Software | 3 | 59 |
| Apps | 68 | 22 |
| Streaming Service | 58 | 19 |
| Electronic Hardware/Devices | 56 | 15 |
| Music Software, including Compositional and Mixing Tools | 41 | 31 |
| MIDI Instruments | 19 | 28 |
| Teleconferencing Tools | 54 | 25 |
| Recording Technologies | 76 | 28 |
| Virtual Instruments | 28 | 43 |
| Smart Devices (smartphones/tablets) | 87 | 19 |
| Wearable Devices | 13 | 22 |
| New digital musical interfaces | 3 | 28 |
| Brain Computer Interface (BCI) technology | 1 | 21 |
| Serious Games (Games not designed purely for entertainment, that focus on education, healthcare, etc.) | 10 | 19 |
| Other | 10 | 2 |
| None | 5 | 11 |
What technology would need to offer to be worth adopting?
| To be worth using in your MT practice, what would technology need to offer? (e.g., ease of use, ability to analyze patients’ performance in new ways, hardware/software to support patient’s needs, accessibility/availability of the technology, cost-effectiveness/affordability, etc.) | |
| Ease of use | 58 |
| Assist with analyzing patient’s performance or diagnosis | 21 |
| Hardware/software to support patient’s needs | 26 |
| Accessibility/availability of technology | 48 |
| Cost-effectiveness and affordability | 56 |
| Good online experience: consistent wifi, no issues with internet time lag, and support for online music-making | 12 |
| Wearability/portability | 3 |
| After-purchase support | 3 |
| Improve quality of experience or music delivery, is not invasive to the experience | 9 |
| Engaging | 2 |
| Fills a need/gap/adds something additional to the experience | 9 |
| Effectiveness, security and reliability | 14 |
| Other | 8 |
| Not applicable | 1 |
General use of technology within music therapy.
| Question | Yes | No | Other |
| All | 96 (85.7%) | 16 (14.3%) | |
| Europe | 40 (74.1%) | 14 (25.9%) | |
| North America | 31 (100.0%) | 0 (0.0%) | |
| Asia/Oceania | 25 (92.6%) | 2 (7.4%) | |
| All | 52 (85.2%) | 5 (8.2%) | 4 (6.6%) |
| Europe | 27 (77.2%) | 4 (11.4%) | 4 (11.4%) |
| North America | 18 (100.0%) | 0 (0.0%) | |
| Asia/Oceania | 17 (94.4%) | 1 (5.6%) | |
| All | 84 (75%) | 28 (25%) | |
| Europe | 37 (68.5%) | 17 (32.5%) | |
| North America | 29 (93.5%) | 2 (6.5%) | |
| Asia/Oceania | 18 (66.7%) | 9 (33.3%) | |
| All | 101 (90.2%) | 11 (9.8%) | |
| Europe | 46 (85.2%) | 8 (14.8%) | |
| North America | 30 (96.8%) | 1 (3.2%) | |
| Asia/Oceania | 25 (92.6%) | 2 (7.4%) | |
| All | 102 (91.1%) | 10 (8.9%) | |
| Europe | 46 (85.2%) | 8 (14.8%) | |
| North America | 31 (100.0%) | 0 (0.0%) | |
| Asia/Oceania | 25 (92.6%) | 2 (7.4%) | |
Training opportunities by region.
| Received training | Self-taught | No technology- related training | |
| All | 18 (16.1%) | 73 (65.2%) | 21 (18.7%) |
| Europe | 3 (5.5%) | 36 (66.7%) | 15 (27.8%) |
| North America | 8 (25.8%) | 20 (64.5%) | 3 (9.7%) |
| Asia/Oceania | 7 (25.9%) | 17 (63.0%) | 3 (11.1%) |
Changes to MT practice and Use of Technology during the COVID-19 Era.
| Question | Yes | No | Other |
| All | 97 (86.6%) | 15 (13.4%) | |
| Europe | 43 (79.6%) | 11 (20.4%) | |
| North America | 31 (100.0%) | 0 (0.0%) | |
| Asia/Oceania | 23 (85.2%) | 4 (14.8%) | |
| All | 90 (80.4%) | 22 (19.6%) | |
| Europe | 42 (77.8%) | 12 (22.2%) | |
| North America | 28 (90.3%) | 3 (9.7%) | |
| Asia/Oceania | 20 (74.1%) | 7 (25.9%) | |
| All | 75 (67%) | 37 (33%) | |
| Europe | 26 (48.1%) | 28 (51.9%) | |
| North America | 29 (93.5%) | 2 (6.5%) | |
| Asia/Oceania | 20 (74.1%) | 7 (25.9%) | |
| All | 48 (62.3%) | 29 (37.7%) | |
| Europe | 12 (42.9%) | 16 (57.1%) | |
| North America | 24 (82.8%) | 5 (17.2%) | |
| Asia/Oceania | 12 (60.0%) | 8 (40.0%) | |
| All | 56 (76.7%) | 17 (23.3%) | |
| Europe | 19 (79.2%) | 5 (20.8%) | |
| North America | 22 (75.9%) | 7 (24.1%) | |
| Asia/Oceania | 15 (75.0%) | 5 (25.0%) | |
| All | 78 (69.6%) | 34 (30.4%) | |
| Europe | 26 (48.1%) | 28 (51.9%) | |
| North America | 31 (100.0%) | 0 (0.0%) | |
| Asia/Oceania | 21 (77.8%) | 6 (22.2%) | |
| All | 57 (50.9%) | 25 (22.3%) | 30 (26.8%) |
| Europe | 19 (35.2%) | 15 (27.8%) | 20 (37.0%) |
| North America | 25 (80.6%) | 5 (16.1%) | 1 (3.2%) |
| Asia/Oceania | 13 (48.1%) | 5 (18.5%) | 9 (33.3%) |
| All | 18 (24.0%) | 57 (76.0%) | |
| Europe | 6 (23.1%) | 20 (76.9%) | |
| North America | 7 (24.1%) | 22 (75.9%) | |
| Asia/Oceania | 5 (25.0%) | 15 (75.0%) | |
| All | 71 (63.4%) | 23 (20.5%) | 18 (16.1%) |
| Europe | 26 (48.2%) | 19 (35.2%) | 9 (16.7%) |
| North America | 25 (80.6%) | 2 (6.5%) | 4 (12.9%) |
| Asia/Oceania | 23 (85.2%) | 2 (7.4%) | 2 (7.4%) |
Effectiveness of online therapy compared to real-life therapy.
| More | Less | As | |
| effective | effective | effective | |
| All | 1 (1.2%) | 53 (63.9%) | 29 (34.9%) |
| Europe | 0 (0.0%) | 26 (60.0%) | 5 (40.0%) |
| North America | 1 (3.4%) | 13 (44.8%) | 15 (51.8%) |
| Asia/Oceania | 0 (0.0%) | 14 (60.9%) | 9 (39.1%) |