华南预防医学 ›› 2025, Vol. 51 ›› Issue (12): 1321-1325.doi: 10.12183/j.scjpm.2025.1321

• 论著 • 上一篇    下一篇

脆性骨折患者骨折后抗骨质疏松治疗现状调查

张艳, 运行, 张家凡, 韩芳   

  1. 首都医科大学附属北京潞河医院,北京 101100
  • 收稿日期:2025-05-15 出版日期:2025-12-20 发布日期:2026-01-07
  • 通讯作者: 韩芳,E-mail:yishenghan520@163.com
  • 作者简介:张艳(1974—),女,硕士研究生,副主任医师,主要从事跨学科临床研究与医学教育工作
  • 基金资助:
    2025年首都卫生发展全科医学与社区卫生科研专项(2025-2Y-015)

Investigation of the status of anti osteoporosis treatment in patients following a fragility fracture

ZHANG Yan, YUN Xing, ZHANG Jiafan, HAN Fang   

  1. Beijing LUHE Hospital Capital Medical University, Beijing 101100, China
  • Received:2025-05-15 Online:2025-12-20 Published:2026-01-07

摘要: 目的 评估脆性骨折患者抗骨质疏松治疗现状,探究多维度影响因素,为制定干预策略与优化管理路径提供依据。方法 采用横断面调查研究设计,纳入北京潞河医院2023年6月至2024年6月收治的脆性骨折患者412例为研究对象,统计患者接受抗骨质疏松治疗情况并据此分为治疗组和未治疗组,评估2组治疗前后再骨折风险及生活质量,并通过多因素logistic回归模型分析抗骨质疏松治疗的影响因素。结果 最终共入组396例患者,其中138例(34.85%)患者骨折后接受抗骨质疏松治疗。多因素logistic回归分析结果显示,年龄(OR=1.914)、髋部骨折(OR=2.122)、骨密度检查(OR=2.134)、健康信念(高必要性/高顾虑OR=2.939;低必要性/高顾虑OR=3.850)、自付比例(30%~60%,OR=3.905;>60%OR=5.854)、专科转诊(OR=2.193)、出院医嘱明确性(OR=2.527)、疾病认知(OR=0.900)、跌倒恐惧感(OR=0.945)是脆性骨折患者骨折后抗骨质疏松治疗的影响因素(均P<0.05)。结论 脆性骨折患者抗骨质疏松治疗率较低,受医学条件(年龄、骨密度检测)、患者认知信念(健康观念、风险意识)及医疗政策(转诊机制、医保覆盖)等多因素共同制约。建议临床构建检测-转诊-干预一体化管理路径,强化患者认知分层指导,优化医保保障以减轻经济负担,通过多维度协同策略提高治疗规范性,从而降低继发骨折风险,改善患者生存质量。

关键词: 脆性骨折, 抗骨质疏松治疗, 再骨折风险, 骨密度检查, 健康信念, 专科转诊

Abstract: Objective To evaluate the current status of anti-osteoporosis treatment among patients with fragility fractures and to explore its multidimensional influencing factors, thereby providing an evidence basis for the formulation of intervention strategies and the optimization of management pathways. Methods A cross-sectional survey was employed. A total of 412 patients with fragility fractures admitted to Beijing Luhe Hospital between June 2023 and June 2024 were included as study subjects. The receipt of anti-osteoporosis treatment was statistically recorded, and patients were subsequently categorized into a treatment group and a non-treatment group. The risk of refracture and the quality of life were assessed for both groups, and multivariate logistic regression analysis was conducted to identify the determinants of receiving anti-osteoporosis treatment. Results A final cohort of 396 patients was enrolled, of whom 138 (34.85%) received anti-osteoporosis therapy post-fracture. The multivariate logistic regression analysis indicated that age (OR=1.914), hip fracture (OR=2.122), bone mineral density (BMD) testing (OR=2.134), health beliefs (high necessity/high concern, OR=2.939; low necessity/high concern, OR=3.850), proportion of out-of-pocket payment (30%-60%, OR=3.905; >60%, OR=5.854), specialist referral (OR=2.193), clarity of discharge instructions (OR=2.527), disease cognition (OR=0.900), and fear of falling (OR=0.945) were significant factors influencing the initiation of anti-osteoporosis treatment following a fragility fracture (all P<0.05). Conclusions The rate of anti-osteoporosis treatment among patients with fragility fractures is suboptimal, constrained by a confluence of medical conditions (e.g., age, BMD testing), patient-related cognitive and belief factors (e.g., health perceptions, risk awareness), and healthcare policy elements (e.g., referral mechanisms, medical insurance coverage). It is recommended that clinical practice establishes an integrated management pathway encompassing screening, referral, and intervention. Furthermore, enhancing stratified patient education based on cognitive levels and optimizing medical insurance coverage to alleviate the economic burden are advised. A multidimensional, synergistic strategy is imperative to improve the standardization of treatment, consequently reducing the risk of subsequent fractures and improving the quality of life for this patient population.

Key words: Fragility fractures, Anti-osteoporotic treatment, Refracture risk, Bone mineral density testing, Health beliefs, Specialist referral

中图分类号: 

  • R683