Dataset Information

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

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?ConclusionsOur 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.

SUBMITTER: Cerully JL

PROVIDER: S-EPMC6374266 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Publications

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

Cerully Jennifer L JL Parker Andrew M AM Rybowski Lise L Schlesinger Mark M Shaller Dale D Grob Rachel R Finucane Melissa L ML Martino Steven C SC

Journal of general internal medicine 20181116 2

<h4>Background</h4>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.<h4>Objective</h4>To determine how presenting quality scores at different levels of aggregation affects patients' clinician choices.<h4>Design</h4>We conducte ...[more]

PMID: 30446909

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Dataset Information

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

Background

Objective

Design

Participants

Main measures

Key results

Publications

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

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