为选择标准 (SITAS) 的实施工具和行动共同设计数字支持的干预措施
Yvonne Kelly1, Niamh O'Rourke2, Josephine Hegarty3
1Health Information and Standards Directorate, Health Information and Quality Authority, Citygate, Mahon, Cork, Ireland. ykelly@hiqa.ie.
BMC health services research
|December 19, 2024
概括
研究人员开发了标准实施工具和行动选择 (SITAS),这是一种指导卫生和社会护理标准实施策略选择的数字干预. 用户反改进了SITAS,提高了其在各种医疗保健环境中的实际应用.
科学领域:
- 实施科学 实施科学
- 医疗保健服务研究 医疗服务研究
- 数字健康干预措施 数字健康干预措施
背景情况:
- 卫生和社会护理标准对于质量和安全至关重要.
- 需要基于证据的方法来选择实施战略.
- 开发了一个基于理论和证据的干预措施,以指导战略选择.
研究的目的:
- 开发数字干预 (SITAS) 以指导研究人员选择标准的实施策略.
- 采用严格的,多阶段的,多方法的方法,以既定的框架为基础.
- 为有效的标准实施量身定制支持工具和行动.
主要方法:
- 医学研究理事会框架指导着SITAS的共同设计.
- 使用了程序理论,启用/障碍分析和框架选择 (CFIR).
- 来自研讨会的用户反完善了数字工具原型.
主要成果:
- 程序理论是通过用户输入来开发和完善的.
- 在"实施研究综合框架" (CFIR) "内部设置"中映射出15个支持者/障碍.
- 最常见的策略是"进行教育会议";在行为变化轮 (BCW) 中",物理机会"是关键.
结论:
- SITAS是一种实用,用户知情的干预,用于选择和定制实施策略.
- 该工具使用核心实现科学概念,用于特定环境的应用.
- 在SITAS可以扩展和传播之前,需要进行正式的试点.
相关概念视频
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
2.1K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.1K
Community Based Intervention
33
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
33
Experimental Designs
11.1K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
11.1K


