OBJECTIVES: This study examined local health department expenditures and their relationship to several departmental characteristics, including the size of the population in the department's jurisdiction. METHODS: Local health department characteristics were obtained from a 1992/93 nationwide mail survey and modeled by means of multiple linear regression. RESULTS: Great variability existed in the per capita expenditures of local health departments, and approximately 70% of the variability was accounted for by differences in jurisdiction population size. Additional characteristics of the health departments explained another 11%. The average unadjusted per capita expenditure by local health departments nationwide was $26. CONCLUSIONS: Local health department expenditures that support essential public health services average a dime a day per person.
OBJECTIVES: This study examined local health department expenditures and their relationship to several departmental characteristics, including the size of the population in the department's jurisdiction. METHODS: Local health department characteristics were obtained from a 1992/93 nationwide mail survey and modeled by means of multiple linear regression. RESULTS: Great variability existed in the per capita expenditures of local health departments, and approximately 70% of the variability was accounted for by differences in jurisdiction population size. Additional characteristics of the health departments explained another 11%. The average unadjusted per capita expenditure by local health departments nationwide was $26. CONCLUSIONS: Local health department expenditures that support essential public health services average a dime a day per person.
Authors: Glen P Mays; Megan C McHugh; Kyumin Shim; Natalie Perry; Dennis Lenaway; Paul K Halverson; Ramal Moonesinghe Journal: Am J Public Health Date: 2006-01-31 Impact factor: 9.308
Authors: Sharla A Smith; Glen P Mays; Holly C Felix; J Mick Tilford; Geoffrey M Curran; Michael A Preston Journal: Am J Public Health Date: 2015-07-16 Impact factor: 9.308