目的 分析2021-2025年某社区卫生服务中心失眠患者用药趋势，为社区失眠规范化管理提供参考。方法 回顾性收集某社区卫生服务中心2021年1月至2025年12月失眠相关药物处方数据，共纳入处方18,042张，涉及患者3,805人。统计处方量、药物种类、患者年龄、性别、伴随疾病等信息。根据处方次数及平均处方间隔天数将患者分为三类：偶发就诊型（1次）、短期治疗型（2~10次且平均间隔≥60天）和长期用药型（>10次或平均间隔<60天），分析各类患者的用药特征及伴随疾病分布。结果 处方量从2021年2,688张增至2025年5,734张，增长2.1倍，就诊人数增长1.6倍。艾司唑仑占比从66.22%降至41.75%，右佐匹克隆从13.28%升至54.99%，2024年为关键转折点；各年龄组右佐匹克隆使用均呈上升趋势，2025年组间差异趋于消失（48%~61%）。患者平均年龄从73.2岁降至69.5岁（Tukey HSD，P<0.05），≥80岁组占比从29.36%降至14.28%。偶发就诊型占42.6%，短期治疗型占25.9%，长期用药型占31.6%。长期用药型消耗全部处方的68.2%，平均处方间隔37.3 d（中位34 d），右佐匹克隆占比43.2%。高血压是最常见伴随疾病，患病率随年龄升高（28.17%~68.17%）；高血脂和焦虑呈倒U型分布。结论 社区失眠就诊需求快速增长，药物结构向新型非苯二氮?类药物明显转变。失眠患者呈年轻化趋势。长期用药型患者消耗了大部分处方资源，其用药管理模式需结合处方间隔特征进行精准分层，并重视老年患者心血管代谢共病的综合管理。

To analyze the medication trends and characteristics of insomnia patients in a community health service center from 2021 to 2025, and to provide evidence for standardized community-based insomnia management. METHODS A retrospective analysis was conducted on insomnia-related prescription data from a community health service center between January 2021 and December 2025. A total of 18,042 prescriptions involving 3,805 patients were included. Prescription volume, drug types, patient age, sex, and comorbidities were analyzed. Patients were classified into three types based on prescription count and average prescription interval: episodic consultation type (1 prescription), short-term treatment type (2–10 prescriptions with interval ≥60 days), and long-term medication type (>10 prescriptions or interval <60 days). RESULTS Prescriptions increased from 2,688 in 2021 to 5,734 in 2025 (2.1-fold), with a 1.6-fold increase in patient visits. Estazolam decreased from 66.22% to 41.75%, while eszopiclone increased from 13.28% to 54.99%, with 2024 as the turning point. Eszopiclone usage increased across all age groups, converging to 48%–61% by 2025. Mean age decreased from 73.2 to 69.5 years (Tukey HSD, P<0.05), and the proportion of patients aged ≥80 years dropped from 29.36% to 14.28%. Episodic consultation type accounted for 42.6%, short-term treatment type 25.9%, and long-term medication type 31.6%. The long-term type consumed 68.2% of all prescriptions, with an average prescription interval of 37.3 days (median 34 days) and eszopiclone accounting for 43.2%. Hypertension was the most common comorbidity, increasing with age (28.17%–68.17%). Hyperlipidemia and anxiety showed an inverted U-shaped distribution. CONCLUSION Community insomnia treatment demand is growing rapidly, with a significant shift toward newer non-benzodiazepines and a trend toward younger patient demographics. Long-term medication patients consume the majority of prescription resources and require precise stratification based on prescription interval patterns, along with integrated management of cardiometabolic comorbidities in older adults.

目的 探讨一种适合社区糖尿病患者健康素养的干预方法,并进一步探讨提高糖尿病患者健康素养对社区卫生服务利用的影响。方法 选择2014年—2015年在我社区卫生服务中心建档的210例糖尿病居民为调查研究对象,对糖尿病患者进行健康素养干预后,比较其健康素养、基本医疗服务利用、社区卫生服务利用情况。结果 对社区糖尿病人进行健康素养干预后,患者的健康理念、传染病预防、健康行为、基本医疗知识、安全素养得分均比干预前高,差异有统计学意义(P<0.05)。首次就诊医疗机构首选社区率及区县级医疗机构就诊的比例干预后比干预前高(P<0.05),最近两周内在社区医疗机构就诊率、签约全科医生率均比健康素养干预前高,差异有统计学意义(P<0.05)。而糖尿病患者过去1年住院例数干预前后无差别,差异没有统计学意义(P>0.05)。患者参与社区健康教育活动的次数干预后比干预前多(P<0.05),参加免费体检及接受社区医生健康生活方式的指导的比例比干预前高(P<0.05)。结论 利用健康促进模式可提高糖尿病患者的健康素养,健康素养的提高可使其对卫生服务的利用有所增加,使其自身的健康状况得以改善。