DEKODE—A cloud‐based performance feedback model improved DKA care across multiple hospitals in the United Kingdom (UK)
Authors' conclusion
We demonstrate a sustainable QIP that improves adherence to national guidelines in some indicators for DKA care and serves as an early warning system to identify adverse trends.
Study context
- Population
- People admitted with DKA, 11 hospitals in the UK, January 2020–December 2022
- Participants
- 1,977 episodes
- Comparison
- Before vs after regular performance feedback
- Outcome
- Adherence to national guidelines for DKA care
Methodological detailsmulticentre, cloud-based performance feedback, Regular feedback provided to 11 UK hospitals via a cloud-based Quality improvement project (QIP)
- Multicentre
- Cloud-based performance feedback
- Regular feedback provided to 11 UK hospitals via a cloud-based QIP
Main finding
As reported in the abstract
- Fluid prescription adherence, hospital C
- 23% vs. 75% p = <0.001
- Fluid prescription adherence, hospital D
- 27% vs. 60%, p = <0.001
- Fluid prescription adherence, hospital E
- 17 vs. 79% p = <0.001
- Fluid prescription adherence, hospital F
- 16% vs. 57%, p = <0.001
- Fluid prescription adherence, hospital G
- 36% vs. 75% p = <0.001
- Glucose monitoring adherence, hospital B
- 11 vs. 38% p = <0.001
- Glucose monitoring adherence, hospital D
- 36% vs. 56%, p = 0.05
- Glucose monitoring adherence, hospital G
- 22% vs. 67% p = <0.001
Further findings
Complications and outcomes · start to end of reported period
- No significant changes in complications and outcomes among participating hospitals from start to end; notable fluctuations across quarters
Original publication
DEKODE—A cloud‐based performance feedback model improved DKA care across multiple hospitals in the UK. Diabet Med. Published 17 February 2025. doi:10.
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