Time-Efficiency Analysis Comparing Digital and Conventional Workflows for Implant Crowns: A Prospective Clinical Crossover Trial

PURPOSE To compare time-efficiency in the production of implant crowns using a digital workflow versus the conventional pathway. MATERIALS AND METHODS This prospective clinical study used a crossover design that included 20 study participants receiving single-tooth replacements in posterior sites. Each patient received a customized titanium abutment plus a computer-aided design/computer-assisted manufacture (CAD/CAM) zirconia suprastructure (for those in the test group, using digital workflow) and a standardized titanium abutment plus a porcelain-fused-to-metal crown (for those in the control group, using a conventional pathway). The start of the implant prosthetic treatment was established as the baseline. Time-efficiency analysis was defined as the primary outcome, and was measured for every single clinical and laboratory work step in minutes. Statistical analysis was calculated with the Wilcoxon rank sum test. RESULTS All crowns could be provided within two clinical appointments, independent of the manufacturing process. The mean total production time, as the sum of clinical plus laboratory work steps, was significantly different. The mean ± standard deviation (SD) time was 185.4 ± 17.9 minutes for the digital workflow process and 223.0 ± 26.2 minutes for the conventional pathway (P = .0001). Therefore, digital processing for overall treatment was 16% faster. Detailed analysis for the clinical treatment revealed a significantly reduced mean ± SD chair time of 27.3 ± 3.4 minutes for the test group compared with 33.2 ± 4.9 minutes for the control group (P = .0001). Similar results were found for the mean laboratory work time, with a significant decrease of 158.1 ± 17.2 minutes for the test group vs 189.8 ± 25.3 minutes for the control group (P = .0001). CONCLUSION Only a few studies have investigated efficiency parameters of digital workflows compared with conventional pathways in implant dental medicine. This investigation shows that the digital workflow seems to be more time-efficient than the established conventional production pathway for fixed implant-supported crowns. Both clinical chair time and laboratory manufacturing steps could be effectively shortened with the digital process of intraoral scanning plus CAD/CAM technology.

Preferences for the organization of long-term follow-up in adolescent and young adult cancer survivors.

PURPOSE As survival rates of adolescent and young adult (AYA) cancer patients increase, a growing number of AYA cancer survivors need follow-up care. However, there is little research on their preferences for follow-up care. We aimed to (1) describe AYA cancer survivors' preferences for the organization and content of follow-up care, (2) describe their preferences for different models of follow-up, and (3) investigate clinical and sociodemographic characteristics associated with preferences for the different models. METHODS AYA cancer survivors (diagnosed with cancer at age 16-25 years; ≥5 years after diagnosis) were identified through the Cancer Registry Zurich and Zug. Survivors completed a questionnaire on follow-up attendance, preferences for organizational aspects of follow-up care (what is important during follow-up, what should be included during appointments, what specialists should be involved, location), models of follow-up (telephone/questionnaire, general practitioner (GP), pediatric oncologist, medical oncologist, multidisciplinary team), and sociodemographic characteristics. Information on tumor and treatment was available through the Cancer Registry Zurich and Zug. RESULTS Of 389 contacted survivors, 160 (41.1 %) participated and 92 (57.5 %) reported still attending follow-up. Medical aspects of follow-up care were more important than general aspects (p < 0.001). Among different organizational models, follow-up by a medical oncologist was rated higher than all other models (p = 0.002). Non-attenders of follow-up rated GP-led follow-up significantly higher than attenders (p = 0.001). CONCLUSION Swiss AYA cancer survivors valued medical content of follow-up and showed a preference for medical oncologist-led follow-up. Implementation of different models of follow-up care might improve accessibility and attendance among AYA cancer survivors.