Developing robust composite measures of healthcare quality - Ranking intervals and dominance relations for Scottish Health Boards

Laura Schang*, Yrjänä Hynninen, Alec Morton, Ahti Salo

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)

Abstract

Although composite indicators are widely used to inform health system performance comparisons, such measures typically embed contentious assumptions, for instance about the weights assigned to constituent indicators. Moreover, although many comparative measures are constructed as ratios, the choice of denominator is not always straightforward. The conventional approach is to determine a single set of weights and to choose a single denominator, even though this involves considerable methodological difficulties. This study proposes an alternative approach to handle incomplete information about an appropriate set of weights and about a defensible denominator in composite indicators which considers all feasible weights and can incorporate multiple denominators. We illustrate this approach for comparative quality assessments of Scottish Health Boards. The results (displayed as ranking intervals and dominance relations) help identify Boards which cannot be ranked, say, worse than 4th or better than 7th. Such rankings give policy-makers a sense of the uncertainty around ranks, indicating the extent to which action is warranted. By identifying the full range of rankings that the organizations under comparison may attain, the approach proposed here acknowledges imperfect information about the "correct" set of weights and the appropriate denominator and may thus help to increase transparency of and confidence in health system performance comparisons.

Original languageEnglish
Pages (from-to)59-67
Number of pages9
JournalSOCIAL SCIENCE AND MEDICINE
Volume162
DOIs
Publication statusPublished - 1 Aug 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Composite indicator
  • Denominator
  • Dominance relation
  • Performance comparison
  • Ranking interval
  • Weight

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