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What Factors May Influence a Clinician's Choice for an Implant System for Their Patients?
1Clinical Professor, Department of Oral and Maxillofacial Surgery, LSU school of Dentistry, New Orleans, LA; Private Practice, Metairie, LA.
Summary
Clinicians prioritize clinical evidence, ease of use, familiarity, and cost when selecting dental implant systems. These factors significantly influence their choices, guiding patient care decisions.
Area of Science:
- Dental Implantology
- Clinical Decision-Making
- Evidence-Based Dentistry
Background:
- Choosing the right dental implant system is crucial for clinicians.
- Factors influencing this critical decision are not well-understood.
- Understanding these factors can optimize treatment planning and outcomes.
Purpose of the Study:
- To identify and rank the key factors influencing clinicians' selection of dental implant systems.
- To explore potential differences in influencing factors among various dental specialties.
Main Methods:
- A cross-sectional survey was distributed to dentists, including oral and maxillofacial surgeons, general dentists, prosthodontists, and periodontists.
- Participants ranked factors influencing their implant system choice.
- Analysis of variance (ANOVA) was used to compare influencing factors across provider types, with significance set at P < .05.
Main Results:
- Clinical trial evidence (92%), ease of use (88%), and familiarity with the system (73%) were the most influential factors.
- Cost (63%), restorative dentist's preference (72%), and key opinion leader influence (66%) also played significant roles.
- Significant differences in the importance of cost, sales representative, key opinion leader, laboratory preference, continuing education, and practice growth potential were observed among provider types.
Conclusions:
- Evidence for success, ease of use, cost, and familiarity are paramount in selecting dental implant systems.
- These findings highlight the importance of robust clinical data and practical considerations in implant choice.
- Understanding these drivers can inform manufacturers and educators in supporting clinicians' decision-making processes.

