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Examining variations in hospital productivity in the English NHS

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Publication details

JournalThe European Journal of Health Economics
DatePublished - 2014
Issue number3
Number of pages12
Pages (from-to)243-254
Original languageEnglish


Numerous papers have measured hospital
efficiency, mainly using a technique known as data
envelopment analysis (DEA). A shortcoming of this technique
is that the number of outputs for each hospital generally
outstrips the number of hospitals. In this paper, we
propose an alternative approach, involving the use of
explicit weights to combine diverse outputs into a single
index, thereby avoiding the need for DEA.

Hospital productivity is measured as the ratio of
outputs to inputs. Outputs capture quantity and quality of
care for hospital patients; inputs include staff, equipment,
and capital resources applied to patient care. Ordinary least
squares regression is used to analyse why output and productivity
varies between hospitals. We assess whether
results are sensitive to consideration of quality.

Hospital productivity varies substantially across
hospitals but is highly correlated year on year. Allowing for
quality has little impact on relative productivity. We find
that productivity is lower in hospitals with greater financial
autonomy, and where a large proportion of income derives
from education, research and development, and training
activities. Hospitals treating greater proportions of children
or elderly patients also tend to be less productive.

We have set out a means of assessing hospital
productivity that captures their multiple outputs and
inputs. We find substantial variation in productivity among
English hospitals, suggesting scope for productivity

    Research areas

  • Hospital Sector, Productivity, Production functions, DEA

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