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| ID | Type | Description | Link |
|---|---|---|---|
| R01LM013894-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Library of Medicine (NLM) | NIH |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| precision-enhanced feedback email messages | Experimental | Providers receive an enhanced monthly email containing precision audit and feedback (A&F). |
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| standard feedback email messages | Active Comparator | Providers receive the standard "one size fits most" A&F monthly email. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| precision-enhanced feedback email messages | Behavioral | Providers receive customized messages prioritizing metrics in an optimal formatting. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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:
The investigators will exclude measures of clinical outcomes (also called "inverse measures") in this study that are less within the control of providers. | Up to 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Average email click-through rate (CTR) | CTR = 100 x (number of recipient's emails with a clicked link) / (total number of emails) | 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) |
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Inclusion Criteria (assessed before interventional period):
Exclusion Criteria (assessed after interventional period):
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| Name | Affiliation | Role |
|---|---|---|
| Zach Landis-Lewis | University of Michigan | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Michigan | Ann Arbor | Michigan | 48109 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35536637 | Background | Landis-Lewis Z, Flynn A, Janda A, Shah N. A Scalable Service to Improve Health Care Quality Through Precision Audit and Feedback: Proposal for a Randomized Controlled Trial. JMIR Res Protoc. 2022 May 10;11(5):e34990. doi: 10.2196/34990. |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Nov 26, 2025 | |
| Reset | Dec 12, 2025 | |
| Release | Jan 7, 2026 | |
| Reset | Jan 23, 2026 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Nov 26, 2025 | Dec 12, 2025 | |||
| Jan 7, 2026 |
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| standard feedback email messages | Behavioral | Providers receive metrics in a common format. |
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| Up to 1 year |
| Jan 23, 2026 |