講演情報
[I-08]AI intervention on protection motivation, behaviors, and quality of life in patients with periodontitis
○You-Jie Hu 1、Hsiao-Ling Huang1 (1. Department of Oral Hygiene, Kaohsiung Medical University)
Purpose
Periodontitis has mutual interactions with various systemic diseases. Therefore, the impact of periodontal disease on the elderly should not be underestimated, and early prevention remains the most effective approach. In our previous research, we had evaluated the positive effects of AI monitoring at home on plaque index (PI), periodontal treatment outcomes and oral health–related quality of life (OHQRoL) in patients with periodontitis. However, motivation is also important for patients with periodontitis to enhance their oral hygiene. We therefore utilized an AI platform to monitor and deliver health warning messages, stimulating the two appraisals of the protection motivation theory (threat appraisal and coping appraisal). This approach aimed to evoke intrinsic motivation in patients, enabling them to make informed decisions about preventive behaviors and actions, thereby promoting changes in self-care behavior.
Methods
Patients with periodontitis were randomly assigned to either an AI group (AI group, n = 32), an AI and health counseling group (AIHC group, n = 33), or a control group (n = 33). All patients underwent nonsurgical periodontal treatment. Patients in the AI and AIHC groups underwent additional AI-assisted DM and AI-assisted DM with oral health counseling, respectively, for 3 months. Data on OHRQoL, self-care behavior, PI, and PM were collected at baseline and follow-ups.
Result and Discussion
At 6 months of follow-up, the AIHC groups exhibited a significantly greater improvement in OHRQoL (mean diff: −6.5) compared with control group. At 6 months of follow-up, the AI and AIHC groups exhibited a significantly greater improvement in self-care behavior (mean diff: 1.1 and 0.9) and coping appraisal of PM (mean diff: 0.1 and 0.2), and they also had greater reduction in PI (mean diff: −14.6 and −24.0) compared with control group. These results indicate PMT-based AI-assisted DM can be used to remind patients with periodontitis of their oral hygiene at home and effectively improve their periodontal measures, self-care behavior, PI, PM, and long-term OHRQoL. It also demonstrates that this method can enable early prevention, effectively reducing the impact of periodontal disease on the elderly.
(COI Disclosure: None)
(Ethics Review: Institutional Review Board of Kaohsiung Medical University Hospital, Approval Number: KMUHIRB-F(II)-20200059)
Periodontitis has mutual interactions with various systemic diseases. Therefore, the impact of periodontal disease on the elderly should not be underestimated, and early prevention remains the most effective approach. In our previous research, we had evaluated the positive effects of AI monitoring at home on plaque index (PI), periodontal treatment outcomes and oral health–related quality of life (OHQRoL) in patients with periodontitis. However, motivation is also important for patients with periodontitis to enhance their oral hygiene. We therefore utilized an AI platform to monitor and deliver health warning messages, stimulating the two appraisals of the protection motivation theory (threat appraisal and coping appraisal). This approach aimed to evoke intrinsic motivation in patients, enabling them to make informed decisions about preventive behaviors and actions, thereby promoting changes in self-care behavior.
Methods
Patients with periodontitis were randomly assigned to either an AI group (AI group, n = 32), an AI and health counseling group (AIHC group, n = 33), or a control group (n = 33). All patients underwent nonsurgical periodontal treatment. Patients in the AI and AIHC groups underwent additional AI-assisted DM and AI-assisted DM with oral health counseling, respectively, for 3 months. Data on OHRQoL, self-care behavior, PI, and PM were collected at baseline and follow-ups.
Result and Discussion
At 6 months of follow-up, the AIHC groups exhibited a significantly greater improvement in OHRQoL (mean diff: −6.5) compared with control group. At 6 months of follow-up, the AI and AIHC groups exhibited a significantly greater improvement in self-care behavior (mean diff: 1.1 and 0.9) and coping appraisal of PM (mean diff: 0.1 and 0.2), and they also had greater reduction in PI (mean diff: −14.6 and −24.0) compared with control group. These results indicate PMT-based AI-assisted DM can be used to remind patients with periodontitis of their oral hygiene at home and effectively improve their periodontal measures, self-care behavior, PI, PM, and long-term OHRQoL. It also demonstrates that this method can enable early prevention, effectively reducing the impact of periodontal disease on the elderly.
(COI Disclosure: None)
(Ethics Review: Institutional Review Board of Kaohsiung Medical University Hospital, Approval Number: KMUHIRB-F(II)-20200059)