A pragmatic digital health informatics based approach for aiding clinical prioritisation and reducing backlog of care: A study in cohort of 4022 people with diabetes
Authors' conclusion
A pragmatic data-driven method identifies people with diabetes at highest need for clinical prioritisation within restricted resources. Health informatics systems such as our can enhance care and improve operational efficiency and better healthcare delivery for people with diabetes.
Study context
- Population
- People with diabetes attending a large university hospital in London; 52% male, 30% non-Caucasian450 sampled for validation
- Participants
- 4,022 people
- Comparison
- Informatics prioritisation tool vs clinical prioritisation
- Outcome
- Identification of high- and lower-risk patients vs clinical prioritisation
Methodological detailsdevelopment and validation of an informatics tool, electronic health care records, single university hospital, London, 3-month operational pilot
- Development and validation of an informatics tool
- Electronic health care records
- Single university hospital, London
- 3-month operational pilot
Performance
As reported in the abstract
| Test or model | Sensitivity | Specificity |
|---|---|---|
| Informatics tool | 83% | 81% |
Informatics tool
Sensitivity83%
Specificity81%
- People with one or more risk events/factors
- 549 (13.6%)
Further findings
Characteristics of people with risk
- People with risk were more likely to be non-Caucasian and had greater socio-economic deprivation
Operational pilot pathway: received interventions/care optimisation · 3 months
- High risk people receiving interventions/care optimisation (of 101)
- 40%
Original publication
A pragmatic digital health informatics based approach for aiding clinical prioritisation and reducing backlog of care: A study in cohort of 4022 people with diabetes. Diabetes Res Clin Pract. Published 20 July 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →