Yeager Valerie A, Hurst David, Menachemi Nir
Valerie A. Yeager is with the Department of Global Health Systems and Development, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. David Hurst is with the Applied Science and Evaluation Branch, Division of State and Local Readiness, Office of Public Health Preparedness and Response, Centers for Disease Control and Prevention, Atlanta, GA. Nir Menachemi is with the Department of Health Care Organization and Policy, School of Public Health, University of Alabama at Birmingham.
Am J Public Health. 2015 Apr;105 Suppl 2(Suppl 2):S274-9. doi: 10.2105/AJPH.2014.302378. Epub 2015 Feb 17.
We examined state-specific administrative barriers to allocating 2009 H1N1 influenza public health emergency response (PHER) funds.
We conducted a qualitative review of PHER grants management reports to identify and code barriers reported by states in allocating funds. Using linear regression, we examined the relationship between the percentage of funds allocated and each individual barrier and, separately, the cumulative effect of multiple barriers.
States reported 6 barrier types, including regulatory issues (n = 14, or 28%), contracting issues (n = 14, or 28%), purchasing issues (n = 6, or 12%), legislative issues (n = 5, or 10%), staffing issues (n = 5, or 10%), and issues transferring funds between state and local health departments (n = 4, or 8%). In multivariate models, having experienced a purchasing barrier was associated with a significant decrease in PHER allocation (B = -26.4; P = .018). Separately, the cumulative effect of having 3 barriers was associated with a decrease in PHER allocation (B = -16.0; P = .079).
Purchasing barriers were associated with delayed use of PHER funds. Moreover, the cumulative effect of any 3 barriers hampered the allocation of funds. Understanding barriers to using funds can inform future funding guidance for improved efficiency of response efforts.
我们研究了各州在分配2009年甲型H1N1流感公共卫生应急响应(PHER)资金方面的行政障碍。
我们对PHER拨款管理报告进行了定性审查,以识别和编码各州在资金分配中报告的障碍。使用线性回归,我们研究了资金分配百分比与每个单独障碍之间的关系,以及多个障碍的累积效应。
各州报告了6种障碍类型,包括监管问题(n = 14,或28%)、合同问题(n = 14,或28%)、采购问题(n = 6,或12%)、立法问题(n = 5,或10%)、人员配备问题(n = 5,或10%)以及州和地方卫生部门之间资金转移问题(n = 4,或8%)。在多变量模型中,遇到采购障碍与PHER资金分配显著减少相关(B = -26.4;P = .018)。单独来看,存在3种障碍的累积效应与PHER资金分配减少相关(B = -16.0;P = .079)。
采购障碍与PHER资金的延迟使用相关。此外,任何3种障碍的累积效应都会阻碍资金分配。了解资金使用障碍可为未来的资金指导提供参考,以提高应对工作的效率。