Ontology highlight
ABSTRACT: Background
Public reports on healthcare quality typically include complex data. To lower the cognitive burden of interpreting these data, some report designers create summary, or roll-up, measures combining multiple indicators of quality into one score. Little is known about how the availability of roll-ups affects clinician choice.Objective
To determine how presenting quality scores at different levels of aggregation affects patients' clinician choices.Design
We conducted a simulated clinician-choice experiment, randomizing participants to three versions of a public reporting website and comparing their clinician choices. One version aggregated all clinician-level quality measures into roll-ups, the second provided disaggregated (drill-down) scores only, and the th
SUBMITTER: Cerully JL
PROVIDER: S-EPMC6374266 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature