改善在国家健康和行为调查中识别临时工的情况
Michael Chidera Ofonedu1, Jodi J Frey2, Orrin D Ware3
1School of Public Health, George Washington University, Washington, DC, USA.
概括
由于过时的分类,国家卫生调查缺乏关于节奏经济工人的数据. 建议进行修订,以更好地捕捉这种日益脆弱的劳动力及其健康需求.
科学领域:
- 公共卫生 公共卫生
- 劳动社会学工作的社会学.
- 劳动经济学 劳动经济学
背景情况:
- 目前的美国国家健康和行为调查使用过时的工人分类.
- 这些分类未能识别小节奏经济中的弱势工人,特别是在数字平台部门.
- 这种数据缺口阻碍了对这个不断增长的劳动力中健康状况和行为 (包括吸毒) 的理解.
研究的目的:
- 突出国家调查中关于小节奏经济工人的数据缺口.
- 强调需要在健康研究中改进工人分类.
- 建议修订,以便更好地收集有关这个脆弱人口的数据.
主要方法:
- 在美国主要的国家健康和行为调查中分析数据收集方法.
- 审查这些调查中使用的现有工人分类类别.
- 确定捕捉小节奏经济和数字平台工人的局限性.
主要成果:
- 在识别和分析小节奏经济工人的健康信息方面存在重大数据缺口.
- 过时的人口普查类别阻止了对自雇者和基于平台的劳动力的准确表示.
- 主要的国家调查没有充分解决这个劳动部门的独特需求.
结论:
- 修改国家调查中的工人分类类别至关重要.
- 建议采用新的工人雇主关系分类模型.
- 改进的数据收集将更好地为小规模经济工人健康政策和干预措施提供信息.
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