史子月, 丁小容, 何承元, 瞿嘉园, 石鑫, 邓小梅. 深圳市社区健康服务中心护士核心能力现状及影响因素研究[J]. 职业卫生与应急救援, 2025, 43(4): 507-512. DOI: 10.16369/j.oher.issn.1007-1326.2025.240630
引用本文: 史子月, 丁小容, 何承元, 瞿嘉园, 石鑫, 邓小梅. 深圳市社区健康服务中心护士核心能力现状及影响因素研究[J]. 职业卫生与应急救援, 2025, 43(4): 507-512. DOI: 10.16369/j.oher.issn.1007-1326.2025.240630
SHI Ziyue, DING Xiaorong, HE Chengyuan, QU Jiayuan, SHI Xin, DENG Xiaomei. Investigation on current status and influencing factors of core competencies among nurses in community health service centers in Shenzhen[J]. Occupational Health and Emergency Rescue, 2025, 43(4): 507-512. DOI: 10.16369/j.oher.issn.1007-1326.2025.240630
Citation: SHI Ziyue, DING Xiaorong, HE Chengyuan, QU Jiayuan, SHI Xin, DENG Xiaomei. Investigation on current status and influencing factors of core competencies among nurses in community health service centers in Shenzhen[J]. Occupational Health and Emergency Rescue, 2025, 43(4): 507-512. DOI: 10.16369/j.oher.issn.1007-1326.2025.240630

深圳市社区健康服务中心护士核心能力现状及影响因素研究

Investigation on current status and influencing factors of core competencies among nurses in community health service centers in Shenzhen

  • 摘要:
    目的 了解深圳市社区健康服务中心护士核心能力现状,并分析其影响因素,为有效提升护士核心能力提供参考。
    方法 2023年3月—2024年3月,采用整群抽样法,选择6个行政区的701所社区健康服务中心的护士作为调查对象,运用“问卷星”电子问卷平台,采用一般资料调查表、《社区护士核心能力现状调查问卷》进行调查,通过多重线性回归模型分析核心能力的影响因素。
    结果 发放问卷1 456份,回收有效问卷1 303份,有效回收率为89.49%。护士总体核心能力得分为(192.87 ± 26.87)分,各维度条目均分由高到低依次为评判性思维能力的(4.25 ± 0.61)分、专业发展能力的(4.00 ± 0.57)分、沟通协调能力的(3.97 ± 0.47)分、法律伦理实践能力的(3.84 ± 0.45)分、社区护理实践能力的(2.90 ± 0.78)分。多重线性回归分析结果显示:职称每提升1个级别,社区护士核心能力得分平均增加12.231分(P < 0.05);学历每提高1个层次,社区护士核心能力得分平均增加6.744分(P < 0.05);收入每增加1个等级,社区护士核心能力得分平均增加4.076分(P < 0.05);与在编组相比,合同组社区护士核心能力得分平均低3.092分(P < 0.05);与医院转岗组相比,毕业后直接来社区的护士核心能力得分平均低4.755分(P < 0.05);与参加过社区培训组相比,未参加过培训的护士核心能力得分平均低12.574分(P < 0.05)。
    结论 深圳市社区健康服务中心护士的核心能力仍有待提高,建议相关管理者针对社区护士知识能力短板制定差异化培训课程,通过政策引导和激励机制建设,完善薪酬、编制、培训、职称晋升等保障措施,提升社区护士的核心能力和服务水平。

     

    Abstract:
    Objective To assess the current status of core competencies among nurses working in community health centers in Shenzhen and to identify factors influencing these competencies, with the aim of informing strategies to enhance nursing capacity.
    Methods From March 2023 to March 2024, a cluster sampling method was employed to select nurses from 701 community health centers across six administrative districts in Shenzhen. Data were collected using the online questionnaire platform Wenjuanxing, which included a general information survey and the Community Nurse Core Competency Questionnaire. The multiple linear regression model was used to analyze the influencing factors of core competencies.
    Results A total of 1 456 questionnaires were distributed, with 1 303 valid responses collected, yielding a valid response rate of 89.49%. The mean overall core competencies score for nurses was (192.87 ± 26.87) points. Among the subdimensions, the highest to lowest average scores were critical thinking (4.25 ± 0.61) points, professional development (4.00 ± 0.57) points, communication and coordination (3.97 ± 0.47) points, legal and ethical practice (3.84 ± 0.45) points, and community nursing practice (2.90 ± 0.78) points. Multiple linear regression analysis showed that for each higher professional title level, the core competency score increased by an average of 12.231 points (P < 0.05); for each higher educational level, by 6.744 points (P < 0.05); and for each higher income level, by 4.076 points (P < 0.05). Compared to nurses with institutional (permanent) positions, those contracted nurses scored 3.092 points lower on average (P < 0.05). Nurses who joined the community directly after graduation scored 4.755 points lower than those who transferred from hospitals (P < 0.05). Those who had not received community nursing training scored 12.574 points lower than those who had (P < 0.05).
    Conclusions The core competencies of nurses in community health centers in Shenzhen remained suboptimal. It is recommended that health administrators develop differentiated training programs to address competency gaps and improve core competencies and service levels of nurses through targeted policies, incentive mechanisms, and support systems related to remuneration, staffing, training, and professional advancement.

     

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