About: Explaining the efficiency of local health departments in the U.S.: an exploratory analysis

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Explaining the efficiency of local health departments in the U.S.: an exploratory analysis
Creator	Zhang, Mukherjee, Kankana Santerre, Rexford Ning, Jackie
Source	PMC
abstract	No study to date has analyzed the efficiency at which local health departments (LHDs) produce public health services. As a result, this study employs data envelopment analysis (DEA) to explore the relative technical efficiency of LHDs operating in the United States using 2005 data. The DEA indicates that the typical LHD operates with about 28% inefficiency although inefficiency runs as high as 69% for some LHDs. Multiple regression analysis reveals that more centralized and urban LHDs are less efficient at producing local public health services. The findings also suggest that efficiency is higher for LHDs that produce a greater variety of services internally and rely more on internal funding. However, because this is the first study of LHD efficiency and some shortcomings exist with the available data, we are reluctant to draw strong policy conclusions from the analysis.
has issue date	2010-09-23(xsd:dateTime)
bibo:doi	10.1007/s10729-010-9136-5
bibo:pmid	20862611
has license	no-cc
sha1sum (hex)	d210c1107ed494becb2570d98f05600ebb78bf9e
schema:url	https://doi.org/10.1007/s10729-010-9136-5
resource representing a document's title	Explaining the efficiency of local health departments in the U.S.: an exploratory analysis
has PubMed Central identifier	PMC7087578
has PubMed identifier	20862611
schema:publication	Health Care Manag Sci
resource representing a document's body	covid:d210c1107ed494becb2570d98f05600ebb78bf9e#body_text
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