Chinese Journal of Oral Implantology ›› 2024, Vol. 29 ›› Issue (5): 467-473.DOI: 10.12337/zgkqzzxzz.2024.10.012

• Original Article·Basic Research • Previous Articles     Next Articles

A survey of the willingness and influencing factors for dental implants among middle-aged and elderly patients with missing teeth in five cities of Liaoning

Chai Haoran1, Liu Yi1, Wang Zunshuo1, Lang Zheyu1, Li Chenhui1, Zhu Shenghui1, Zhang Xuepu2, Zhang Yue3   

  1. 1Jinzhou Medical University,Jinzhou 121001,Liaoning, China;
    2The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, Liaoning, China;
    3The Affiliated Stomatological Hospital of Jinzhou Medical University, Jinzhou 121001, Liaoning, China
  • Received:2024-03-06 Online:2024-10-30 Published:2024-10-30
  • Contact: Zhang Yue, Email: 34916851@qq.com, Tel: 0086-416-2655134
  • Supported by:
    Jinzhou Medical University 2022 (National) College Students' Innovation and Entrepreneurship Training Program (202210160017); The 14th Five-Year Plan of Education Science Project Proposal for 2021 in Liaoning Province (JG21DB201); Jinzhou Science and Technology Plan Project (JZ2023B088)

Abstract: Objective To investigate the willingness and influencing factors for dental implants among middle-aged and elderly patients with missing teeth in five cities of Liaoning Province. Methods Using population proportionate sampling (PPS) and a three-stage random sampling method, middle-aged and elderly patients with missing teeth in Shenyang, Fushun, Jinzhou, Panjin, and Chaoyang in Liaoning Province were selected as research subjects for a questionnaire survey. T-tests, analysis of variance, and structural equation modeling were used to explore the factors influencing implant willingness. Results There were statistically significant differences in the expected treatment outcomes of dental implants among patients with different educational levels (P<0.05). Media channels used by patients to learn about implants also varied significantly across different income levels (P<0.05). Significant differences were found in implant willingness, expected treatment outcomes, media channels, price barriers, and perceived risks between urban and rural patients (P<0.05). Urban patients had higher scores for implant willingness (3.37), expected treatment outcomes (3.76), and media channels (3.52) compared to rural patients (2.91, 3.35, 3.12, respectively), while rural patients had higher scores for price barriers (2.94) and perceived risks (3.01) compared to urban patients (2.71 and 2.67, respectively). Structural equation modeling revealed that expected treatment outcomes (β=0.185) and media channels (β=0.277) had a significant positive impact on implant willingness, while price barriers (β=-0.212), perceived risks (β=-0.127), and geographical limitations (β=-0.227) had a significant negative impact. Conclusion Price barriers, perceived risks, and geographical limitations are important factors contributing to the low willingness for dental implants among middle-aged and elderly patients with missing teeth in Liaoning Province. Therefore, it is necessary to promote dental implants through coordinated efforts from hospitals, the public, and manufacturers, in order to increase the application of dental implants.

Key words: Tooth loss, Implant willingness, Middle-aged and elderly, Dental implants