实用医学杂志 ›› 2026, Vol. 42 ›› Issue (18): 3356-3363.doi: 10.3969/j.issn.1006-5725.2026.18.014

• 论著·机制与实践 • 上一篇    

基于COM-B模型分析我国眼视光从业者视觉训练推荐意愿向推荐行为转化的影响因素

刘涛1, 徐青林2,4, 唐垚2, 陈兆2, 郗晓云2, 潘伟2, 杨智宽2,3, 蓝卫忠1,3()   

  1. 1. 安徽医科大学爱尔眼科医学中心 (安徽 合肥 230031 )
    2. 爱尔眼视光研究所 (湖南 长沙 410015 )
    3. 中南大学爱尔眼科研究院 (湖南 长沙 410015 )
    4. 长沙爱尔眼科医院眼科 (湖南 长沙 410015 )
  • 收稿日期:2026-06-23 修回日期:2026-07-26 接受日期:2026-07-27 出版日期:2026-09-25 发布日期:2026-10-19
  • 通讯作者: 蓝卫忠
  • 基金资助:
    国家重点研发计划(2022YFE0124600); 湖南省科技创新计划项目(2023RC1079); 长沙建设全球研发中心城市重点专题项目(2024RC5002)

Vision therapy recommendation intention and recommendation behavior based on the COM-B model

Tao Liu1, Qinglin Xu2,4, Yao Tang2, Zhao Chen2, Xiaoyun Xi2, Wei Pan2, Zhikuan Yang2,3, Weizhong Lan1,3()   

  1. 1. Aier Eye Medical Center of Anhui Medical University,Hefei 230031,Anhui,China
    2. Aier Institute of Optometry and Vision Science,Changsha 410015,Hunan,China
    3. Aier Academy of Ophthalmology,Central South University,Changsha 410015,Hunan,China
    4. Department of Ophthalmology,Changsha Aier Eye Hospital,Changsha 410015,Hunan,China
  • Received:2026-06-23 Revised:2026-07-26 Accepted:2026-07-27 Online:2026-09-25 Published:2026-10-19
  • Contact: Weizhong Lan
  • About author:

    Liu Tao performed the research, collected data, analyzed and interpreted the data, wrote the manuscript, and revised it according to the editorial comments. Pan Wei analyzed and interpreted the data. Xu Qinglin and Yang Zhikuan participated in topic selection and designed the study. Chen Zhao, Tang Yao, and Xi Xiaoyun performed the research and collected data. Lan Weizhong participated in topic selection, designed the study, revised the results and conclusions, and verified the revisions according to the editorial comments. All authors read and approved the final manuscript as submitted.

摘要:

目的 基于COM-B模型,分析我国眼视光从业者视觉训练推荐意愿及推荐行为的影响因素,并探讨意愿向行为转化可能的机制。 方法 2024年6—10月开展全国横断面问卷调查,共纳入1 750例眼视光从业者。根据COM-B(能力、机会、动机-行为)模型,能力维度指知识测评得分及专业资历;机会维度包括机构类型及视觉训练实施障碍;动机维度指推荐意愿;行为维度为累计临床推荐量等级。构建反思性动机(包括感知的熟悉程度、感知的临床有效性及感知的外界宣传效果),分析其对推荐意愿的影响。采用分位数回归分析推荐意愿的影响因素;有序logistic回归模型分析推荐行为影响因素,并评估引入推荐意愿变量后模型拟合优度变化。 结果 从业者对视觉训练推荐意愿较高9.0(8.0,10.0),但49.8%的从业者处于最低推荐量等级(< 500例)。反思性动机与推荐意愿呈显著正相关(全样本β = 0.857,医生亚组β = 0.769,均P < 0.001),能力因素对意愿无显著影响。有序logistic回归显示,引入推荐意愿后,Nagelkerke R²值分别提高0.120(全样本)和0.058(医生亚组)。推荐意愿每增加1分,实际推荐量等级升高的可能性增加(全样本:OR = 1.50,95%CI:1.42 ~ 1.59,P < 0.001;医生亚组:OR = 1.42,95%CI:1.24 ~ 1.63,P < 0.001)。能力维度中的工作年限对两组行为分级均有显著正向影响。主要障碍为缺乏统一临床指南(76.9%)、市场秩序不规范(75.9%)及医保覆盖不足(70.7%)。 结论 反思性动机是影响视觉训练推荐意愿的核心因素,但高意愿向实际行为转化受到机会维度的结构性制约。建议通过完善专家共识指南、优化医保支付政策及规范市场管理机制,促进高推荐意愿向临床实践转化。

关键词: 视觉训练, COM-B模型, 推荐意愿, 眼视光从业者

Abstract:

Objective Based on the COM-B model, this study analyzed the factors influencing vision therapy recommendation intention and recommendation behavior among optometric practitioners in China, and to explore the potential mechanisms underlying the translation of intention into behavior. Methods A national cross-sectional questionnaire survey was conducted from June to October 2024, and enrolled a total of 1 750 optometric practitioners. According to the COM-B (Capability,Opportunity,Motivation-behaviour) model, the capability dimension included knowledge assessment scores and professional qualifications; the opportunity dimension included institution type and vision therapy implementation barriers; the motivation dimension referred to recommendation intention; and the behavior dimension was measured by cumulative clinical recommendation volume levels. Reflective motivation was constructed (including perceived familiarity, perceived clinical effectiveness, and perceived effectiveness of external promotion), and its influence on recommendation intention was analyzed. Quantile regression was used to examine factors affecting recommendation intention. Ordered logistic regression models were employed to analyze recommendation behavior. These models also assessed the changes in model fit following the incorporation of the intention variable. Results Optometric practitioners demonstrated high intention to recommend vision therapy 9.0(8.0, 10.0). However, 49.8% of practitioners were classified in the lowest recommendation volume category (< 500 cases). Reflective motivation was significantly positively associated with recommendation intention (full sample β = 0.857, optometric physician subgroup β = 0.769, both P < 0.001). Capability factors showed no significant effect on intention. In the ordered logistic regression models, after adding recommendation intention, the Nagelkerke R² increased by 0.120 in the full population and by 0.058 in the physician subgroup. Every 1-point increase in recommendation intention was associated with higher odds of being in higher recommendation volume levels (full sample: OR = 1.50, 95%CI: 1.42 - 1.59, P < 0.001; optometric physician subgroup: OR = 1.42, 95%CI: 1.24 - 1.63, P < 0.001). Years of work experience in the capability dimension positively influenced behavior in both groups. The main barriers were lack of unified clinical guidelines (76.9%), irregular market order (75.9%), and insufficient medical insurance coverage (70.7%). Conclusions Reflective motivation is the core factor influencing vision therapy recommendation intention. The translation of high intention into behavior is structurally constrained by the opportunity dimension. Strengthening expert consensus guidelines, optimizing insurance reimbursement policies, and regulating market practices may facilitate the conversion of recommendation intention into clinical implementation.

Key words: vision therapy, COM-B model, recommendation intention, optometric practitioners

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