洞察退伍军人的动机和对COVID-19疫苗接种的犹:混合方法分析
Alexis K Barrett1,2, Jaime E Sidani3, Kelly H Burkitt1
1Veterans Affairs Pittsburgh Healthcare System, Pennsylvania.
概括
根据COVID-19的信念确定不同的患者群是理解疫苗犹的关键. 量身定制的策略可以提高退伍军人中COVID-19疫苗接种率.
科学领域:
- 公共卫生 公共卫生
- 疫苗学 疫苗学 疫苗学
- 行为科学 行为科学
背景情况:
- 虽然COVID-19感染对健康构成重大风险,但疫苗的犹依然存在.
- 了解影响疫苗决策的心理因素对于公共卫生干预至关重要.
- 这项研究调查了思想,感受和COVID-19疫苗接种状态之间的关系.
研究的目的:
- 根据COVID-19相关的想法和感受来识别独特的患者群.
- 为了确定集群成员是否与COVID-19疫苗接种状态有关.
- 探索影响不同患者群体接种疫苗的动机和犹.
主要方法:
- 在退伍军人事务匹兹堡医疗保健系统的初级保健中进行了一项混合方法质量改进项目 (2021年7月-2022年5月).
- 基于问卷答复,K-means分析确定了集群;多变量后勤回归评估了集群成员和疫苗接种之间的关联.
- 与低疫苗接种群中的患者进行了定性访谈,以探索他们的动机和担忧.
主要成果:
- 确定了四个不同的患者群,疫苗接种率从29.9%到98.9%不等.
- 集群成员与疫苗接种状况密切相关,在三个集群中,接种疫苗的几率明显更高.
- 定性分析显示,保护自己和他人是关键的动机,而疫苗的快速开发和不良影响是常见的担忧.
结论:
- 独特的患者群体,由感染和疫苗相关的想法和感觉来定义,独立地与COVID-19疫苗接种有关.
- 在这些集群中,有关接种疫苗和犹的不同主题存在.
- 根据这些已识别的主题定制策略,可以有效地减少疫苗犹,并提高退伍军人疫苗接种率.
更多相关视频
相关概念视频
Bias in Epidemiological Studies
1.3K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.3K
Surveys
16.6K
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.
16.6K
Study Designs in Epidemiology
881
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
881
Motivational Bias
311
Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...
311
Vaccinations
51.2K
Overview
51.2K
Factors Affecting Illness
5.1K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
5.1K


