在行为风险因素监测系统中的面试中断的分析,2018年和2019年
Jason Hsia1, Madison Gilbert2, Guixiang Zhao1
1Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
AJPM focus
|October 4, 2023
概括
在行为风险因素监测系统中,电话调查中的关键错误调查突破率增加. 分析显示,断裂与调查问卷的长度和内容有关,影响数据质量.
科学领域:
- 调查方法 调查方法
- 公共卫生监督 公共卫生监督
- 统计分析 统计分析
背景情况:
- 调查中断是总调查错误的重要来源,特别是在电话调查中.
- 行为风险因素监测系统 (BRFSS) 是一项大型的年度电话调查,其违规率越来越高.
- 了解和减轻BRFSS中的断裂对于改善数据质量和调查错误研究至关重要.
研究的目的:
- 分析调查中断模式,并在行为风险因素监测系统 (BRFSS) 中识别风险因素.
- 估计断裂的概率并评估它们与调查设计元素的关联.
- 提供证据来提高电话调查数据的质量.
主要方法:
- 利用了2018年和2019年的BRFSS数据,将调查问题和模块转换为时间变量.
- 应用Kaplan-Meier方法来估计累积断裂概率.
- 采用比例危险模型来确定与调查中断相关的风险因素.
主要成果:
- 2018年累计破产概率达到7.03%,2019年达到9.56%.
- 身体活动部分显示了最高的条件破裂概率 (2.85%).
- 突破与问卷长度,回忆要求和问题放置有显著的关联,在使用额外模块的州的比例更高.
结论:
- 调查中断是电话调查中总调查错误的重要组成部分,如BRFSS.
- 调查结果强调了调查设计对突破率的影响.
- 关于BRFSS数据分析的建议强调考虑具有更高相关风险的变量中断率.
相关概念视频
SBAR II: Application of SBAR
4.5K
SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
4.5K
Steps in Outbreak Investigation
152
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
152
Survey Safety
43
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
43
Statistical Methods for Analyzing Epidemiological Data
400
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:
400
Longitudinal Studies
186
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...
186
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


