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首页> 外文期刊>Global Health Action >Using ‘appreciative inquiry’ in India to improve infection control practices in maternity care: a qualitative study
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Using ‘appreciative inquiry’ in India to improve infection control practices in maternity care: a qualitative study

机译：定性研究：利用印度的“欣赏性询问”改善产妇护理中的感染控制措施

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Background: Infections acquired during childbirth are a common cause of maternal and perinatal mortality and morbidity. Changing provider behaviour and organisational settings within the health system is key to reducing the spread of infection.Objective: To explore the opinions of health personnel on health system factors related to infection control and their perceptions of change in a sample of hospital maternity units.Design: An organisational change process called ‘appreciative inquiry’ (AI) was introduced in three maternity units of hospitals in Gujarat, India. AI is a change process that builds on recognition of positive actions, behaviours, and attitudes. In-depth interviews were conducted with health personnel to elicit information on the environment within which they work, including physical and organisational factors, motivation, awareness, practices, perceptions of their role, and other health system factors related to infection control activities. Data were obtained from three hospitals which implemented AI and another three not involved in the intervention.Results: Challenges which emerged included management processes (e.g. decision-making and problem-solving modalities), human resource shortages, and physical infrastructure (e.g. space, water, and electricity supplies). AI was perceived as having a positive influence on infection control practices. Respondents also said that management processes improved although some hospitals had already undergone an accreditation process which could have influenced the changes described. Participants reported that team relationships had been strengthened due to AI.Conclusion: Technical knowledge is often emphasised in health care settings and less attention is paid to factors such as team relationships, leadership, and problem solving. AI can contribute to improving infection control by catalysing and creating forums for team building, shared decision making and problem solving in an enabling environment.
机译：背景：分娩期间感染是孕产妇和围产期死亡率和发病率的常见原因。在卫生系统中改变医疗服务提供者的行为和组织设置是减少感染传播的关键。目的：在医院产妇单位样本中，探讨卫生人员对与感染控制相关的卫生系统因素及其对变化的看法的意见。印度印度古吉拉特邦的三个妇产科医院引入了一种名为“欣赏询问”（AI）的组织变革过程。人工智能是一个变革过程，建立在对积极行动，行为和态度的认可上。与卫生人员进行了深入访谈，以获取有关其工作环境的信息，包括身体和组织因素，动机，意识，做法，对其作用的认识以及与感染控制活动有关的其他卫生系统因素。数据来自实施AI的三家医院和未参与干预的另外三家医院。结果：出现的挑战包括管理流程（例如决策和解决问题的方式），人力资源短缺和物理基础设施（例如空间，水） ，以及电力供应）。人工智能被认为对感染控制实践具有积极影响。受访者还说，尽管一些医院已经通过了认证程序，但可能会影响所描述的变更，因此管理流程得到了改善。参与者报告说，由于AI，团队关系得到了加强。结论：医疗知识通常强调技术知识，而对团队关系，领导力和解决问题等因素的关注较少。人工智能可以通过在有利的环境中催化和创建论坛来建立团队，共享决策和解决问题，从而有助于改善感染控制。

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