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Variability in selecting patients to manage in the community: a service evaluation of community matron's case-finding strategies.

机译:选择患者进行社区管理的可变性:对社区护士长的病例发现策略的服务评估。

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BACKGROUND: Community-based case management of high-frequency health service users, also termed 'high-intensity users' may reduce the demand on secondary care. In the UK, experienced senior nurses 'community matrons' have been appointed to provide more care in the community and to case manage high-intensity users and prevent unnecessary hospital admission. Computerized scoring systems have been developed to help with case finding. OBJECTIVE: To evaluate how community matrons select their caseload, in particular the impact of a case finding tool, and access to computer-based systems. METHODS: We used direct observation and the think aloud protocol during case selection and a series of workshops. Analysis was based on the Framework Approach (familiarization, coding, charting, mapping and interpretation) using verbatim transcripts analysed by N-Vivo software. RESULTS: Community matrons within the same locality have different and sub-optimal caseloads. Although common elements exist in case selection, processes are modified by individuals depending on the influence of their interpersonal relationships, accessibility of computer systems and personal experience and expertise. The supporting IT system often produced data too late and while predicting admission did not identify cases amenable to community intervention. CONCLUSIONS: Inter-professional networks, personal experience and training influence the patients identified for case management. The combination of an improved case finding tool and a better defined role for community matrons could lead to more standardized and equitable case selection.
机译:背景:基于社区的高频医疗服务用户病例管理(也称为“高强度用户”)可以减少对二级医疗的需求。在英国,已经任命了经验丰富的高级护士“社区护士”,以为社区提供更多护理,并为高强度人群提供案例管理,并防止不必要的住院。已经开发了计算机计分系统来帮助发现病例。目的:评估社区护士长如何选择他们的案件量,特别是案件查找工具的影响以及对基于计算机系统的访问。方法:我们在病例选择和一系列研讨会期间使用了直接观察和大声思考的方案。分析是基于框架方法(熟悉,编码,图表,作图和解释),使用由N-Vivo软件分析的逐字记录。结果:同一地区内的社区女性有不同且次优的案例。尽管案例选择中存在一些共同的要素,但是个人会根据其人际关系,计算机系统的可访问性以及个人经验和专业知识的影响来修改流程。支持性的IT系统通常无法及时生成数据,并且在预测入院时并未发现适合社区干预的案例。结论:专业间的网络,个人经验和培训会影响确定病例管理的患者。改进的病例查找工具和更好的社区护士角色定义相结合,可以使病例选择更加标准化和公平。

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