This cluster-randomized trial will assess the effectiveness of a precision feedback service on anesthesia provider performance. The precision feedback service enhances a standard audit and feedback (A\&F) email with a brief message and visual display about high-value performance information. The control arm will receive a standard "one size fits most" A\&F email that is currently sent to anesthesia providers each month. Hypothesis: Providers receiving precision feedback will increase a) care quality for improvable measures and b) email engagement (click-through and dashboard login rates) when compared with providers receiving standard A\&F emails. The study investigators will assess unintended consequences in a mixed-methods process evaluation.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
3,500
Providers receive customized messages prioritizing metrics in an optimal formatting.
Providers receive metrics in a common format.
University of Michigan
Ann Arbor, Michigan, United States
Measure success rate (M) for operative cases of anesthesia care providers
The primary outcome for the cluster-randomized controlled trial is the measure success rate (M) for operative cases of anesthesia care providers, where: M = sum of all operative case measurement successes / number of all operative case measurements The measures included in each provider's measure success rate will be all improvable process measures that meet the following inclusion criteria: 1. A provider's cases were included for the measure during both the 6-month pre-intervention period and during the 6-month intervention period. 2. Average performance for the measure is below 90% during the baseline period, based on the MPOG threshold for most process measures. 3. The measure was included in at least one provider feedback email during the intervention period. The investigators will exclude measures of clinical outcomes (also called "inverse measures") in this study that are less within the control of providers.
Time frame: Up to 1 year
Average email click-through rate (CTR)
CTR = 100 x (number of recipient's emails with a clicked link) / (total number of emails)
Time frame: Up to 6 months
Average dashboard login rate (L)
L = 100 x (number of months with an email recipient's dashboard login event) / (total number of months)
Time frame: Up to 1 year
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