Kennedy Virginia C
School of Public Health, University of Texas Health Science Center, Houston 77225, USA.
J Public Health Manag Pract. 2009 May-Jun;15(3):E1-8. doi: 10.1097/01.PHH.0000349744.11738.25.
The purpose of this study was to describe the number and distribution of 26 administrative, professional, and technical public health occupations across the array of US governmental and nongovernmental industries.
This study used data from the Occupational Employment Statistics program of the US Bureau of Labor Statistics. For each occupation of interest, the investigator determined the number of persons employed in 2006 in five industries and industry groups: government, nonprofit agencies, education, healthcare, and all other industries.
Industry-specific employment profiles varied from one occupation to another. However, about three-fourths of all those engaged in these occupations worked in the private healthcare industry. Relatively few worked in nonprofit or educational settings, and less than 10 percent were employed in government agencies.
The industry-specific distribution of public health personnel, particularly the proportion employed in the public sector, merits close monitoring. This study also highlights the need for a better understanding of the work performed by public health occupations in nongovernmental work settings. Finally, the Occupational Employment Statistics program has the potential to serve as an ongoing, national data collection system for public health workforce information. If this potential was realized, future workforce enumerations would not require primary data collection but rather could be accomplished using secondary data.
本研究旨在描述26种行政、专业和技术公共卫生职业在美国政府和非政府行业中的数量及分布情况。
本研究使用了美国劳工统计局职业就业统计项目的数据。对于每种相关职业,研究者确定了2006年在五个行业及行业组中就业的人数,这五个行业及行业组分别是:政府、非营利机构、教育、医疗保健以及所有其他行业。
特定行业的就业情况因职业不同而各异。然而,从事这些职业的人员中约四分之三在私营医疗行业工作。在非营利或教育机构工作的相对较少,在政府机构就业的不到10%。
公共卫生人员在特定行业的分布,尤其是在公共部门就业的比例,值得密切关注。本研究还强调了更好地了解公共卫生职业在非政府工作环境中所开展工作的必要性。最后,职业就业统计项目有潜力成为一个持续的全国性公共卫生劳动力信息数据收集系统。如果这一潜力得以实现,未来的劳动力普查将无需进行原始数据收集,而是可以通过二手数据来完成。