目的：分析新疆眼科资源配置现状，为优化地区资源配置提供依据。方法：采用问卷调查收集新疆眼科医疗机构数、床位数、医师数及护士数资料，运用洛伦兹曲线和基尼系数评估其在人口和地域面积的配置公平性。结果：2024年新疆每10万人口有眼科医疗机构0.68个、眼科床位13.90张、眼科医师7.68人、眼科护士5.88人。按人口配置：眼科医疗机构数、眼科床位数、眼科医师数、眼科护士数的基尼系数分别为0.22、0.23、0.26、0.29（相对公平）；按地域面积配置：眼科医疗机构数、眼科床位数、眼科医师数、眼科护士数的基尼系数分别为0.40、0.60、0.59、0.60（高度不公平）。结论：新疆眼科资源总量显著提升，但地域配置公平性极差（基尼系数普遍大于0.4），护士配置明显不足。亟须优化资源配置策略，重点提升地域（尤其是偏远广阔地区）可及性并加强护士队伍建设。

Objective: To analyze the equity of ophthalmic resource allocation in Xinjiang and provide evidence for optimizing distribution. Methods: Data on the number of ophthalmic medical institutions,beds, physicians, and nurses in Xinjiang were collected through questionnaires. The Lorenz curve and Gini coefficient were used to evaluate allocation equity in terms of population and geographic area. Results: In 2024，Xinjiang had 0.68 ophthalmic medical institutions,13.90 ophthalmic beds, 7.68 ophthalmic physicians,and 5.88 ophthalmic nurses per 100,000 population. Population-based allocation showed Gini coefficients of 0.22, 0.23, 0.26,and 0.29 for ophthalmic institutions,beds, physicians,and nurses respectively (relatively equitable). Geographic area-based allocation yielded Gini coefficients of 0.40, 0.60, 0.59, and 0.60 for the same categories (highly inequitable). Conclusions: While the total ophthalmic resources in Xinjiang have significantly increased, geographic allocation remains extremely inequitable (Gini coefficients generally >0.4), with particularly insufficient nurse staffing. Urgent optimization of resource allocation strategies is needed, focusing on improving accessibility in remote areas and strengthening the nursing workforce.

目的：了解干眼患者相关知识、管理态度及防治行为的现状及影响因素，为临床制定针对性的干预措施提供依据。方法：采用便利抽样法，选取2025年1—3月在中山大学中山眼科中心干眼与眼表疾病门诊就诊的患者为研究对象。调查工具为一般资料调查表、中国干眼问卷及干眼患者知信行问卷。知信行问卷包括知识（16个条目）、态度（7个条目）、行为（9个条目） 3个维度，共32个条目。使用单因素分析及多元线性回归分析确定影响因素。 结果：有效回收调查问卷325份，325例干眼患者的知信行问卷平均得分为（62.89±9.00）分；标准分为（78.61±11.25）分，处于中等水平。其中知识维度平均得分为（9.89±4.88）分，134例（41.2%）处于较差水平；态度维度得分较高，总均分为（26.92±2.24）分，标准分（96.16±8.03）分，处于较高水平；行为维度总均分为（26.06±5.43）分，标准分（72.41±15.09）分，处于中等水平。单因素分析结果显示，不同年龄、文化程度、家庭人均月收入、是否经常使用电子设备、是否主动查询疾病知识的干眼患者，其知信行得分比较差异有统计学意义（P<0.05）。年龄、文化程度、是否主动查询疾病知识是干眼患者知信行得分的影响因素（P<0.05）。 结论：干眼患者知信行水平处于中等，表现为疾病知识掌握片面、防治态度较积极但行为水平有待提高，且受多因素影响，应制订精准、个性化健康教育内容，以提高干眼患者的知信行水平。

Objective: To investigate the current status and identify the influencing factors regarding the knowledge, attitudes, and practices related to dry eye disease (DED) among patients. This study aims to provide a solid foundation for the development of targeted clinical interventions. Methods: With convenience sampling, patients diagnosed with DED were selected at the Dry Eye and Ocular Surface Disease Clinic of Zhongshan Ophthalmic Center from January to March 2025 as study subjects. The survey tools consisted of a general information questionnaire, the Chinese Dry Eye Questionnaire, and the Knowledge, Attitudes, and Practices (KAP) Questionnaire for DED patients. The KAP questionnaire was structured into three dimensions: knowledge (16 items), attitudes (7 items), and practices (9 items), making a total of 32 items. Univariate analysis and multiple linear regression were employed to identify influencing factors. Results: A total of 325 valid questionnaires were collected. Among the 325 DED patients, the average KAP score was 62.89±9.00, and the standardized score was 78.61±11.25, indicating a moderate level. In the knowledge dimension, the average score was 9.89±4.88 and 134 patients (41.2%) had poor scores. The attitudes dimension showed a relatively high level, with a total mean score of 26.92±2.24 and a standardized score of 96.16±8.03, reflecting that the patients generally held positive attitudes towards the prevention and treatment of DED. For the practices dimension, the total mean score was 26.06±5.43, and the standardized score was 72.41±15.09, indicating a moderate level of behaviorial practices. Univariate analysis revealed significant differences in KAP scores among patients with different ages, education levels, monthly household income per capita, frequencies of electronic device use, and whether they actively sought disease-related knowledge (P<0.05). Further, age, education level, and proactive information-seeking behavior were identified as significant influencing factors for KAP scores (P<0.05). Conclusions: The KAP level of DED patients is moderate. Their disease knowlege is fragmented, while they exhibit positive attitudes toward prevention and treatment. However, their behavioral practices are subptimal and are influenced by multiple factors. Therefore, it is essential to develop tailored and personalized health education programs to enhance the KAP level of DED patients.