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Published in: Journal of General Internal Medicine 2/2019

01-02-2019 | Original Research

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

Authors: Jennifer L. Cerully, Ph.D., Andrew M. Parker, Ph.D., Lise Rybowski, M.B.A., Mark Schlesinger, Ph.D., Dale Shaller, M.P.A., Rachel Grob, Ph.D., Melissa L. Finucane, Ph.D., Steven C. Martino, Ph.D.

Published in: Journal of General Internal Medicine | Issue 2/2019

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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.
Appendix
Available only for authorised users
Footnotes
1
As a robustness check, we conducted regression analyses using arm as a predictor and age, race/ethnicity, education, chronic condition, self-reported health status, and self-reports of visiting a doctor quality website as control variables. These models generally yielded the same findings on the key outcomes, so we report the simpler models.
 
2
A regression analysis using arm as a predictor and age, race, education, having a chronic condition, self-reported health, and self-reports of visiting doctor quality websites as control variables resulted in changes to findings related to the number of actions taken. Two significant differences crossed the 0.05 threshold after controlling for covariates, becoming non-significant. The difference between drill-down plus roll-up and drill-down only went from significant (p = 0.049) to non-significant (p = 0.062), as did the difference between roll-up only and drill-down only (going from p = 0.028 to p = 0.056).
 
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Metadata
Title
Improving Patients’ Choice of Clinician by Including Roll-up Measures in Public Healthcare Quality Reports: an Online Experiment
Authors
Jennifer L. Cerully, Ph.D.
Andrew M. Parker, Ph.D.
Lise Rybowski, M.B.A.
Mark Schlesinger, Ph.D.
Dale Shaller, M.P.A.
Rachel Grob, Ph.D.
Melissa L. Finucane, Ph.D.
Steven C. Martino, Ph.D.
Publication date
01-02-2019
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 2/2019
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-018-4725-y

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