定性和混合方法:告知和增强暴露科学
Denise Moreno Ramírez1, Ashby Lavelle Sachs2,3,4, Christine C Ekenga5
1Department of Community, Environment and Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
定性和混合方法 (QMM) 提供了对环境健康差异的关键洞察力,而定量研究往往忽略了这些差异. 整合QMM可以带来更具包容性的暴露科学和有效的环境健康解决方案.
科学领域:
- 环境健康科学 环境健康科学
- 暴露科学 暴露科学
- 社会和行为科学 社会和行为科学
背景情况:
- 复杂的环境健康问题需要了解暴露于危害的社会,经济和健康影响.
- 定性和混合方法 (QMM) 对于揭示影响环境相互作用和健康结果的社会文化动态至关重要.
- 质量量测量可以揭示常常被纯粹定量方法所忽视的洞察力.
研究的目的:
- 为了突出QMM在暴露科学中的不足利用.
- 证明QMM在提高暴露评估,风险感知研究和干预评估方面的价值.
- 鼓励采用QMM进行更全面,更包容的环境健康研究.
主要方法:
- 从2003年到2023年发表在"暴露科学与环境流行病学杂志" (JESEE) 上的研究的系统审查.
- 在暴露科学文献中分析QMM的应用和影响.
- 识别QMM在加强暴露评估和了解社区观点方面的具体贡献.
主要成果:
- 在2003年至2023年间,在不到1%的JESEE研究中使用了QMM方法.
- 使用QMM的研究成功地提高了暴露评估,探索了风险感知和评估干预措施.
- 在涉及历史边缘化人口和理解生活经验的研究中,QMM特别有价值.
结论:
- QMM方法未得到充分利用,但在暴露科学中非常有价值.
- 整合QMM可以解决传统暴露评估中的差距,并提供细微的社区视角.
- 鼓励采用QMM和跨学科合作,以开发强大的,情境敏感的环境健康解决方案.
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