The Economic Cost of Communicable Disease Surveillance in Local Public Health Agencies

Health Serv Res. 2017 Dec;52 Suppl 2(Suppl 2):2343-2356. doi: 10.1111/1475-6773.12791.

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.

Keywords: Public health services and systems research; communicable disease surveillance; economies of scale.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Colorado
  • Communicable Diseases / economics*
  • Communicable Diseases / epidemiology*
  • Communication
  • Costs and Cost Analysis
  • Disease Notification / economics
  • Humans
  • Models, Econometric
  • Public Health Administration / economics*
  • Public Health Surveillance*
  • Time Factors