健康社会决定因素的用户指南 在我们所有人研究计划中的调查数据
Theresa A Koleck1, Caitlin Dreisbach2,3, Chen Zhang2
1School of Nursing, University of Pittsburgh, Pittsburgh, PA 15261, United States.
Journal of the American Medical Informatics Association : JAMIA
|August 27, 2024
概括
这份指南有助于研究人员使用"我们所有人健康调查的社会决定因素"数据. 它提供评分和解释建议,以及用于分析健康不平等的R和Python函数.
科学领域:
- 健康研究成果研究结果
- 社会流行病学社会流行病学
- 关于健康公平性的研究.
背景情况:
- 我们所有人的研究计划收集了健康数据的有价值的社会决定因素.
- 分析这些数据对于理解和解决健康不平等至关重要.
- 现有的工具缺乏用户友好的指导,用于评分和解释健康调查的社会决定因素.
研究的目的:
- 为研究人员提供"我们所有人健康社会决定因素调查"的用户指南.
- 为评分和解释调查答复提供建议.
- 促进在健康公平研究中使用"我们所有人"数据.
主要方法:
- 从健康调查的社会决定因素中介绍了14个构造.
- 构建操作化的摘要和30个基于文献的评分建议.
- 在研究人员工作台内提供可执行的R和Python函数用于数据分析.
主要成果:
- 一本全面的用户指南,提供实用的评分和解释策略.
- 准备使用的R和Python代码,用于高效的数据分析.
- 提高了研究人员利用"我们所有人健康调查的社会决定因素"的能力.
结论:
- 开发的指南使研究人员能够有效分析健康数据的社会决定因素.
- 本资源通过我们所有人研究计划推进了对健康不平等的研究.
- 改进的数据利用有助于更深入地了解健康差异.
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
04:54Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
Published on: March 19, 2021
4.5K
相关概念视频
Data Collection by Survey
6.4K
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...
6.4K
Overview of Biostatistics in Health Sciences
368
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
368
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
336
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:
336
Statistical Package for the Social Sciences (SPSS)
296
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
296
Longitudinal Studies
147
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...
147
