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Community Based Intervention

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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.
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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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社区参与调查方法对大流行对边缘化社区的影响,马萨诸塞州,2020-2021年

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社区参与的调查揭示了隐藏的流行病不平等现象,为健康公平投资提供了信息. 这种方法捕获了服务不足的人群的数据,导致了更公平的公共卫生行动.

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科学领域:

  • 公共卫生 公共卫生
  • 健康 公平 研究 健康 公平 研究
  • 基于社区的参与式研究

背景情况:

  • 随着COVID-19的流行,现有的健康差距进一步加剧.
  • 传统的监测数据往往低于弱势群体.
  • 需要创新的方法来捕捉流行病的不平等影响.

研究的目的:

  • 为了证明社区参与的调查如何发现未测量的流行病不平等.
  • 为了说明这些数据如何为健康股权投资提供信息.
  • 要突出以股权为中心的数据收集的价值.

主要方法:

  • 一项跨部门在线调查,马萨诸塞州COVID-19社区影响调查,在全州11种语言 (2020-2021) 部署.
  • 该调查优先考虑了社区参与,细粒度/交叉数据,根本原因分析和社区声音.
  • 建立了数据到行动的途径,以便及时分析和干预.

主要成果:

  • 该调查产生了丰富的数据集,有33,800名受访者,包括代表性不足的群体.
  • 分析显示,大流行对优先人口的基本需求,歧视,医疗保健,就业和心理健康的影响不成比例.
  • 亚裔美国人/太平洋岛民和家长等特定群体经历了显著的不良影响.

结论:

  • 以公平为中心的数据方法使以前看不见的人群在公共卫生监测中变得可见.
  • 这些方法使公共卫生行动更加公平和有针对性.
  • 国家卫生部门可以并且应该实施这些必要的数据策略.