使用数值评级尺度来评估健康计算能力有限的个人的风险感知是否合适
Saul Shiffman1, Michael J Hannon1, Stacey A McCaffrey2
1Pinney Associates, Pittsburgh, PA, USA.
Patient education and counseling
|October 15, 2024
概括
有限健康计算能力 (LHN) 的个人可以有效地使用数值评分尺度 (NRSs) 来表达风险感知,与具有足够健康计算能力 (AHN) 的人相比. 这一发现支持在不同人群中使用NRS.
科学领域:
- 卫生传播健康传播
- 风险感知研究 风险感知研究
- 心理测量 心理测量 心理测量
背景情况:
- 数字评分表 (NRSs) 可能会给健康计算能力有限的个人 (LHN) 在表达风险感知方面带来挑战.
- 准确评估风险感知对于公共卫生信息至关重要,特别是在电子烟等产品方面.
研究的目的:
- 为了比较LHN和充足的健康算法 (AHN) 个体之间的电子烟风险感知NRS的心理测量功能.
- 确定LHN个体是否可以为AHN个体提供有意义和可比的风险评级.
主要方法:
- 一个大规模的随机试验 (N=12,557) 涉及使用NRS (0-100%) 和形容词等级的电子烟风险感知评级.
- 根据最新生命体征 (NVS) 评估,将参与者分为LHN和AHN组.
- 分析数字和口头风险等级之间的关系,并评估LHN和AHN组之间的尺度不变性.
主要成果:
- 电子烟的数值风险感知评级在LHN和AHN组中显示出与口头评级的强烈和几乎相同的关系.
- 分析显示,LHN和AHN个体之间的疾病特异性风险评级的配置,度量和标量不变.
- 这些发现表明,在各个数学的水平上,NRS的解释和使用是一致的.
结论:
- 有限的健康计算能力的个人可以有效地利用数值评级尺度来表达风险感知.
- 对于LHN和AHN个体来说,NRS的心理特征在评估电子烟风险时是可比的.
- 这证实了NRS在不同人群中用于风险传播研究的有效性.
相关概念视频
00:54Ratio Level of Measurement
17.3K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
17.3K
01:12Relative Risk
122
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
122
00:55Ordinal Level of Measurement
23.0K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
23.0K
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
123
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
123
00:56Nominal Level of Measurement
27.8K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
27.8K
00:55Interval Level of Measurement
14.2K
For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
14.2K