描述在SARS-CoV-2流行研究中对短信,电子邮件,电话或明信片做出回应的参与者
Thomas J Duszynski1, William Fadel2, Brian Dixon2,3
1Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA. tduszyns@iu.edu.
BMC public health
|April 22, 2024
概括
公共卫生研究需要多种接触方法和频率,以最大限度地参与. 这项研究发现,性别和年龄等参与者人口统计学因素会影响响应率,为增加健康调查招聘的策略提供信息.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 调查方法 调查方法
背景情况:
- 在公共卫生调查中有效招募往往需要不同的联系方式和频率.
- 了解与不同外展方法相关的参与者特征对于优化调查参与至关重要.
研究的目的:
- 根据他们的邀请方式 (明信片,电话,电子) 进行全州SARS-CoV-2测试研究的受访者特征.
- 根据实现参与所需的联系人数量,研究参与者特征如何不同.
主要方法:
- 2020年4月被邀请参加COVID-19测试的印第安纳州居民随机选择的调查数据的横截面分析.
- 邀请通过明信片,短信/电子邮件和/或机器人电话/文本发送;参与度按响应时间和联系频率跟踪.
- 使用奇平方分析和多项逻辑回归来确定显著差异和相关性.
主要成果:
- 机器人电话/短信 (65.7%) 是最常见的外展方式,大多数参与者在2次联系后 (47.9%) 响应.
- 与男性相比,女性对明信片和短信/电子邮件的响应率更高,并且在一次接触后更频繁地响应.
- 老年人 (60岁以上) 在两次接触后更有可能作出反应;性别,年龄,教育和"免费测试"的动机与参与相关.
结论:
- 联系方式的选择和提示的数量显著影响了在公共卫生研究中的差异性参与.
- 研究结果可以指导研究人员定制招聘策略,以提高特定人口群体的参与度.
- 优化外展方法和接触频率是成功选择性参与健康研究的关键.
更多相关视频
07:43Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
Published on: August 4, 2023
1.9K
07:13Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021
4.2K
相关概念视频
Group Design
8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
Surveys
14.8K
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.
14.8K
Contingency Table
2.5K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.5K
Sample Proportion and Population Proportion
5.3K
Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
5.3K
Cross-Sectional Research
11.3K
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...
11.3K
Censoring Survival Data
87
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
87
