愿意与美国消费者的关键利益相关者分享健康数据的模式:潜伏类分析
1Department of Health Policy and Management, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, United States.
Journal of the American Medical Informatics Association : JAMIA
|January 28, 2025
概括
消费者健康数据的共享有很大的差异. 三个群体出现了:谨慎的,明智的和宽容的,突出了与不同利益相关者分享个人健康信息的不同态度.
科学领域:
- 医疗信息学 医疗信息学
- 消费者健康数据 消费者健康数据
- 数字健康采用数字健康采用
背景情况:
- 消费者愿意分享健康数据对于数字健康进步至关重要.
- 了解不同的消费者群体及其数据共享偏好对于制定有效的隐私政策至关重要.
研究的目的:
- 识别消费者愿意与各种利益相关者分享健康数据的不同模式.
- 根据他们的数据共享态度,分析消费者群体的特征.
主要方法:
- 隐性类分析 (LCA) 用于从岩石健康数字健康消费者采用调查 (2018-2022) 中识别消费者群体.
- 分析了人口普查匹配的美国成年人代表样本.
- 根据社会人口统计,健康状况和数字健康利用情况进行了对比.
主要成果:
- 确定了三个不同的消费者群体:谨慎 (36.8%),精明 (47.9%) 和宽容 (15.3%).
- 警小组表示不愿意与任何利益相关者分享数据,而宽容小组非常愿意,除了与科技公司和政府.
- 鉴别小组是有选择的,主要与医疗保健机构和家庭分享.
结论:
- 美国消费者对健康数据共享的态度存在显著的异质性.
- 对传统医疗保健提供者的信任仍然很高,但愿意与非传统实体分享的意愿不同.
- 数据隐私政策必须解决这些多方面的,利益相关者特定的消费者态度.
相关概念视频
Longitudinal Research
11.8K
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...
11.8K
Cross-Sectional Research
11.1K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.1K
Surveys
14.7K
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.
14.7K
Statistical Methods for Analyzing Epidemiological Data
293
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
293
Study Designs in Epidemiology
173
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...
173
Longitudinal Studies
125
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
125


