Improving Patients' Choice of Clinician by Including Roll-up Measures in Public Healthcare Quality Reports: an Online Experiment

J Gen Intern Med. 2019 Feb;34(2):243-249. doi: 10.1007/s11606-018-4725-y. Epub 2018 Nov 16.

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 third offered both roll-ups and drill-downs.

Participants: Five hundred fifty panelists drawn from a probability-based Internet panel.

Main measures: We assessed the amount of effort participants exerted by tracking the length of time spent on the website and the number of concrete actions taken on the website (e.g., clicking items). We evaluated decision quality by measuring whether participants selected a clinician who performed more poorly than others and incongruence between participants' stated preferences for dimensions of quality and their chosen clinician's performance on those dimensions.

Key results: Participants seeing drill-downs alone (mean = 14.9) or with roll-ups (mean = 19.2) took more actions than those who saw roll-ups alone (mean = 10.5) (ps < 0.05). However, participants seeing only drill-downs made poorer choices than those who saw roll-ups alone or with drill-downs. More participants seeing drill-downs chose a clinician who was outperformed (36.3% versus 23.4% [roll-up] and 25.6% [drill-down + roll-up], ps < 0.05) and made choices incongruent with stated preferences (51.2% versus 45.6% [roll-up] and 47.5% [drill-down + roll-up], ps < 0.05). The distinction between roll-up and drill-down was somewhat stronger for sicker participants.

Conclusions: Our results suggest that roll-ups in healthcare quality reports, alone or as a complement to drill-downs, can help patients make better decisions for themselves.

Keywords: composite measure; healthcare quality; patient experience; patient satisfaction; summary score.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Choice Behavior* / physiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Patient Preference / psychology*
  • Physician-Patient Relations
  • Physicians / standards*
  • Public Health / methods
  • Public Health / standards*
  • Quality of Health Care / standards*
  • Research Report / standards*
  • Young Adult