Adam Atherly 1 , Melanie Whittington 2 , Lisa VanRaemdonck 3 , Sarah Lampe 4 Show Affiliations »
Abstract
OBJECTIVE: We identify economic costs associated with communicable disease (CD) monitoring/surveillance in Colorado local public health agencies and identify possible economies of scale. DATA SOURCES/STUDY SETTING: Data were collected via a survey of local public health employees engaged in CD work. Survey respondents logged time spent on CD surveillance for 2-week periods in the spring of 2014 and fall of 2014. Forty-three of the 54 local public health agencies in Colorado participated. STUDY DESIGN: We used a microcosting approach. We estimated a statistical cost function using cost as a function of the number of reported investigable diseases during the matched 2-week period. We also controlled for other independent variables, including case mix, characteristics of the agency, the community, and services provided. DATA COLLECTION/EXTRACTION METHODS: Data were collected from a microcosting survey using time logs. PRINCIPAL FINDINGS: Costs increased at a decreasing rate as cases increased, with both cases (β = 431.5, p < .001) and cases squared (β = -3.62, p = .05) statistically significant. CONCLUSIONS AND IMPLICATIONS: The results of the model suggest economies of scale. Cost per unit is estimated to be one-third lower for high-volume agencies as compared to low-volume agencies. Cost savings could potentially be achieved if smaller agencies shared services. © Health Research and Educational Trust.
OBJECTIVE: We identify economic costs associated with communicable disease (CD) monitoring/surveillance in Colorado local public health agencies and identify possible economies of scale. DATA SOURCES/STUDY SETTING: Data were collected via a survey of local public health employees engaged in CD work. Survey respondents logged time spent on CD surveillance for 2-week periods in the spring of 2014 and fall of 2014. Forty-three of the 54 local public health agencies in Colorado participated. STUDY DESIGN: We used a microcosting approach. We estimated a statistical cost function using cost as a function of the number of reported investigable diseases during the matched 2-week period. We also controlled for other independent variables, including case mix, characteristics of the agency, the community, and services provided. DATA COLLECTION/EXTRACTION METHODS: Data were collected from a microcosting survey using time logs. PRINCIPAL FINDINGS: Costs increased at a decreasing rate as cases increased, with both cases (β = 431.5, p < .001) and cases squared (β = -3.62, p = .05) statistically significant. CONCLUSIONS AND IMPLICATIONS: The results of the model suggest economies of scale. Cost per unit is estimated to be one-third lower for high-volume agencies as compared to low-volume agencies. Cost savings could potentially be achieved if smaller agencies shared services. © Health Research and Educational Trust.
Keywords:
Public health services and systems research; communicable disease surveillance; economies of scale
Mesh： See more »
Year: 2017
PMID： 29130264 PMCID： PMC5682125 DOI： 10.1111/1475-6773.12791
Source DB: PubMed Journal: Health Serv Res ISSN： 0017-9124 Impact factor: 3.402