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重庆市驻科药师工作模式实施效果及其影响因素分析OA

Analysis of the Implementation Effect and Influencing Factors of the Ward-Based Clinical Pharmacist Working Model in Chongqing

中文摘要英文摘要

目的 分析重庆市二级及以上公立医疗机构驻科药师工作模式实施效果及其影响因素.方法 以重庆市卫生健康委员会药政处确定的 163 家重庆市二级及以上公立医疗机构作为调研对象,采用问卷调查法,统计医疗机构的基本信息、药学人才队伍信息、驻科药师工作开展具体情况,调研时间为 2024 年 9 月至 2025 年 2 月.分别以医嘱审核人次的常用对数、用药监护人次、药物重整人次、用药指导人次 4 个指标作为因变量,以医疗机构基本信息和药学人才队伍信息中能对因变量产生影响的因素作为自变量,采用多元线性回归分析构建模型,分析驻科药师工作模式实施效果的影响因素.结果 调查问卷有效回收率为 100.00%(163/163),其中三级医疗机构 75 家(46.01%),二级医疗机构 88 家(53.99%),以其他隶属关系为主(143 家,87.73%),综合医院占比最高(75 家,46.01%);规模上,实际开放床位数≤500 张(73 家,44.79%)、设住院床位科室≤10 个(62 家,38.04%)、卫生技术人员≤500 人(83家,50.92%)占比较高.99 家(60.74%)医疗机构开展了驻科药师工作,其中二级医疗机构 32 家(36.36%),三级医疗机构 67 家(89.33%).开展驻科药师工作的临床科室总数为 579 个,占住院科室总数的 26.33%;涉及的科室专业包括 22 个类别,以呼吸内科(58 个,10.02%)、肿瘤科(52 个,8.98%)和心血管内科(51 个,8.81%)较多.共选取 10 个可能影响驻科药师工作模式实施效果的因素作为自变量,多元线性回归分析显示,4 个指标构建的模型均有显著性(P<0.01).驻科药师人数对 4 个指标均产生显著正向影响(β=0.721、0.501、0.473、0.442,P<0.001).医嘱审核方面,三级医疗机构(β=0.263,P<0.001)、35 岁及以下药师比例(β=0.110,P=0.020)、中级及以上职称药师比例(β=0.146,P=0.005)亦呈正向影响,而实际开放床位数呈负向影响(β=-0.206,P=0.027).用药指导方面,专科医疗机构(β=0.141,P=0.007)和实际开放床位数(β=0.500,P<0.001)呈正向影响,三级医疗机构(β=-0.148,P=0.016)和在编药学人员比例(β=-0.100,P=0.041)呈负向影响.结论 驻科药师工作模式在重庆市已初步开展,但存在覆盖科室不全、科室分布不均等问题,应加强驻科药师人才队伍建设,优化资源配置,以满足日益增长的专业药学服务需求.

Objective To analyze the implementation effect and influencing factors of the ward-based clinical pharmacist working model in secondary and above public medical institutions in Chongqing.Methods A total of 163 secondary and above public medical institutions in Chongqing,which identified by the Department of Pharmaceutical Affairs of Chongqing Municipal Health Commission,were selected as survey subjects.A questionnaire survey was conducted to collect information on basic institutional data,pharmaceutical talent team composition,and the specific implementation of ward-based clinical pharmacist work.The survey period was from September 2024 to February 2025.Four indicators:the logarithm of the number of medication order reviews,the number of medication consultations,the number of medication reconciliations,and the number of medication guidance encounters were used as dependent variables.Factors from basic institutional data and pharmaceutical talent team information that might affect the dependent variables were selected as independent variables.Multiple linear regression analysis was used to construct models and analyze factors influencing the implementation effect of the ward-based clinical pharmacist working model.Results The effective response rate of the questionnaires was 100.00%(163/163),including 75(46.01%)tertiary medical institutions and 88(53.99%)secondary medical institutions.The majority were under other affiliations(143,87.73%),with general hospitals accounting for the highest proportion(75,46.01%).In terms of scale,institutions with actual open beds≤500(73,44.79%),departments with inpatient beds≤10(62,38.04%),and health technicians≤500(83,50.92%)were more prevalent.A total of 99(60.74%)medical institutions had implemented the ward-based clinical pharmacist working model,including 32(36.36%)secondary and 67(89.33%)tertiary institutions.The total number of clinical departments with ward-based clinical pharmacist services was 579,accounting for 26.33%of all inpatient departments,covering 22 specialty categories.The most common departments were Respiratory Medicine(58,10.02%),Oncology(52,8.98%),and Cardiovascular Medicine(51,8.81%).10 potential influencing factors were selected as independent variables.The multiple linear regression analysis showed that all models constructed by the four indicators were significant(P<0.01).The number of ward-based clinical pharmacists had a significant positive effect on all four indicators(β=0.721,0.501,0.473,0.442,P<0.001).In terms of medication order reviews,tertiary institutions(β=0.263,P<0.001),proportion of pharmacists aged≤35(β=0.110,P=0.020),and proportion of pharmacists with intermediate or above professional titles(β=0.146,P=0.005)showed positive effects,while the number of actual open beds showed a negative effect(β=-0.206,P=0.027).In terms of medication guidance,specialized institutions(β=0.141,P=0.007)and actual open beds(β=0.500,P<0.001)showed positive effects,while tertiary institutions(β=-0.148,P=0.016)and the proportion of permanent pharmacy staff(β=-0.100,P=0.041)showed negative effects.Conclusion The ward-based clinical pharmacist working model has been preliminarily implemented in Chongqing,but issues such as incomplete departmental coverage and uneven distribution across specialties remain.It is recommended to strengthen the construction of ward-based clinical pharmacist teams and optimize resource allocation to meet the growing demand for professional pharmaceutical services.

陈娟;龙霞;陈希;李国熊;邱学文

重庆市人民医院·重庆大学附属人民医院,重庆 401147重庆市卫生健康委员会,重庆 400020重庆市人民医院·重庆大学附属人民医院,重庆 401147重庆市人民医院·重庆大学附属人民医院,重庆 401147重庆市人民医院·重庆大学附属人民医院,重庆 401147

医药卫生

驻科药师考核机制多元线性回归模型药事管理

ward-based clinical pharmacistassessment mechanismmultiple linear regression modelpharmaceutical administration

《中国药业》 2026 (18)

7-11,5

重庆市卫生健康委药政药学政策研究课题重庆市临床药学重点专科建设项目.

10.3969/j.issn.1006-4931.2026.18.002

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