招募多样化产后调查样本的策略
Mara E Murray Horwitz1,2, G Saradjha Brédy3, Jeffrey A Schemm4
1Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA. Mara.MurrayHorwitz@bmc.org.
Journal of racial and ethnic health disparities
|December 12, 2023
概括
招募多元化的产后人员,包括那些英语水平有限的人,可以通过多语言,多方位的方法实现. 该战略通过包括代表性不足的群体来加强孕产妇健康平等研究.
科学领域:
- 公共卫生 公共卫生
- 孕产妇健康公平的权利.
- 健康差距 研究 研究 研究 研究
背景情况:
- 多样化的数据对于孕产妇健康公平干预至关重要.
- 招募产后人群,特别是来自少数群体的人群,面临重大挑战.
- 解决招聘障碍对于包容性健康研究至关重要.
研究的目的:
- 开发和评估一个多样化的产后人口的招聘策略.
- 包括除英语以外的语言偏好 (LPOE) 和缺少产后访问的个人.
- 确定成功招聘在城市安全网医院的关键策略.
主要方法:
- 在分娩后的个体中进行了一项横截面调查.
- 招募发生在产科/儿科诊所访问之前,期间和之后.
- 研究材料是三语言的;调查提供了面对面,电话或在线完成.
主要成果:
- 120名产后患者完成了调查 (49%的响应率).
- 83.1%的人自称是黑人或西班牙裔;30.2%的人有LPOE.
- 关键策略包括多语言材料,适应性招聘,儿科外展和各种联系方法.
结论:
- 一个多阶段,多语言,多方法的策略成功招募了多样化的产后样本.
- 基于儿科的推广和灵活的联系方式至关重要.
- 这种方法可以引导更具包容性的产后健康研究.
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
Stratified Sampling Method
12.0K
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. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
12.0K
Cluster Sampling Method
11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
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
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
Sampling Plans
187
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
187


