| Literature DB >> 33176775 |
Ferran Fillat-Gomà1,2, Sergi Coderch-Navarro3, Laia Martínez-Carreres3,4, Núria Monill-Raya3,5, Toni Nadal-Mir6, Cristina Lalmolda7,8, Manel Luján7,8, Candelaria de Haro7, Lluís Blanch7,8.
Abstract
BACKGROUND: To cope with shortages of equipment during the COVID-19 pandemic, we established a nonprofit end-to-end system to identify, validate, regulate, manufacture, and distribute 3D-printed medical equipment. Here we describe the local and global impact of this system.Entities:
Keywords: 3d printing; Airway consumables; Impact analysis; Medical device; Personal protective equipment
Mesh:
Year: 2020 PMID: 33176775 PMCID: PMC7657712 DOI: 10.1186/s12913-020-05891-2
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Prototype design approaches for producing 3D-printed medical devices
Fig. 2Scheme of the organization of the system established to supply hospitals in Catalonia with 3D-printed medical equipment
Companies involved in the manufacture of 3D medical devices, number of items and number of companies per industry type
| Company Type | 3D printed units | number of companies |
|---|---|---|
| 3D-printing Industry | 5234 (23·6%) | 13 (18·6%) |
| Automotive Industry | 2854 (12·9%) | 3 (4·3%) |
| Dental Industry | 2641 (11·9%) | 9 (12·9%) |
| Manufacturers associations | 1847 (8·3%) | 10 (14·3%) |
| Universities | 1579 (7·1%) | 3 (4·3%) |
| Chemical Industry | 1483 (6·7%) | 2 (2·9%) |
| Naval and railway Industry | 1193 (5·4%) | 1 (1·4%) |
| Plastic Industry | 1053 (4·7%) | 4 (5·7%) |
| Engineering Consulting | 781 (3·5%) | 6 (8·6%) |
| Electric Industry | 686 (3·1%) | 4 (5·7%) |
| Metal Industry | 473 (2·1%) | 3 (4·3%) |
| Biomedical Industry | 469 (2·1%) | 1 (1·4%) |
| Jewelry | 403 (1·8%) | 1 (1·4%) |
| Social Organizations | 353 (1·6%) | 3 (4·3%) |
| Medical Industry | 284 (1·3%) | 1 (1·4%) |
| Food Industry | 284 (1·3%) | 2 (2·9%) |
| Packaging Industry | 240 (1·1%) | 2 (2·9%) |
| Medical Center | 69 (0·3%) | 1 (1·4%) |
| Unknown | 267 (1·2%) | 1 (1·4%) |
| TOTAL |
Fig. 3Timeline showing the numbers of COVID-19-related deaths, COVID-19 cases detected, web visits, and accumulated 3D-manufactured items
Fig. 4a Top 10 countries with the most visitors to the website www.tauli.cat/institut/. b Spain Autonomous Comunities maps showing the total number of visis to the online catalogue (left) and the number of COVID-19 detected cases (right). Autonomous Comunities are indicated by numbers: 1. Andalucia, 2. Aragon, 3. Asturias, 4. Balearic Islands, 5. Canary Islands, 6. Cantabria, 7. Castile and León, 8. Castile-La Mancha, 9. Catalonia, 10. Galicia, 11. Valencia, 12. Extremadura, 13. Madrid, 14. Murcia, 15. Navarre, 16. Basque Country, 17. La Rioja. The maps depicted in Fig. 4 were created by the authors of this manuscript