通过受访者驱动的抽样在哥伦比亚招募难以接触的人口:一项定性研究
Camila Solorzano-Barrera1, Mariana Rodriguez-Patarroyo1, Angélica Tórres-Quintero1
1Institute of Public Health, Pontificia Universidad Javeriana, Bogota, Colombia.
Global health action
|January 11, 2024
概括
受访者驱动抽样 (RDS) 可以改善老年人使用手机调查 (MPS) 的参与. 诸如信任和技术获取等因素影响了哥伦比亚难以接触的人口招募RDS的可接受性.
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:
- 移动电话调查 (MPS) 越来越多地用于在低收入和中等收入国家收集非传染性疾病 (NCD) 风险因素数据.
- 让老年参与者参与MPS仍然是数据代表性的挑战.
- 受访者驱动的抽样 (RDS) 使用连锁推来招募参与者,可能改善老年人参与MPS.
研究的目的:
- 评估哥伦比亚45岁以上的MPS个人中RDS招聘策略的可接受性.
- 确定影响老年人群中MPSRDS成功实施的因素.
主要方法:
- 通过使用混合项目的调查,半结构面试和焦点小组讨论进行了定性研究.
- 该研究探讨了与采用RDS技术的MPS招聘策略相关的看法和障碍.
- 哥伦比亚45岁以上的参与者对招聘策略提供了反.
主要成果:
- 战略的成功取决于文化适应,机构信誉,公众信任,数据保护和移动技术熟练程度.
- 参与RDS努力的意愿受信任和社交网络连接的影响.
- 难以接触的人群往往最好通过他们社交网络中的可信任联系人来接触.
结论:
- 结果可以指导未来的干预,旨在加强在难以接触的群体中基于移动的数据收集.
- 将RDS策略调整为MPS可能会提高老年人群的参与率.
- 解决文化和技术因素对于RDS在MPS中的有效性至关重要.
更多相关视频
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
2.2K
07:13Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021
4.3K
相关概念视频
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
Convenience Sampling Method
8.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.9K
Data Collection by Survey
6.5K
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...
6.5K
Longitudinal Research
12.0K
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...
12.0K
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
Data Collection by Observations
12.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.0K
