ArticleClinical kidney journal2019
Impact of introducing electronic acute kidney injury alerts in primary care.
Article in Clinical kidney journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Effect of clinical decision support systems on clinical outcome for acute kidney injury: a systematic review and meta-analysis.BMC nephrology · 2021Pooled it
- Artificial intelligence and predictive models for early detection of acute kidney injury: transforming clinical practice.BMC nephrology · 2024Review
- Patient outcomes following AKI and AKD: a population-based cohort study.BMC medicine · 2022Article
- Alerting to acute kidney injury - Challenges, benefits, and strategies.Practical laboratory medicine · 2022Article
- Article
- Scoping review exploring the impact of digital systems on processes and outcomes in the care management of acute kidney injury and progress towards establishing learning healthcare systems.BMJ health & care informatics · 2021Article
- Electronic alerts for acute kidney injury across primary and secondary care.BMJ open quality · 2021Article
- Impact of electronic alerts for acute kidney injury on patient outcomes: interrupted time-series analysis of population cohort data.Clinical kidney journal · 2021Article
- Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute kidney injury (AKI) is associated with decreased survival, future risk of chronic kidney disease and longer hospital stays. Electronic alerts (e-alerts) for AKI have been introduced in the UK in order to facilitate earlier detection and improve management. The aim of this study was to establish if e-alerts in primary care were acted on by examining timing of repeat creatinine testing.
methodsThe National Health Service England Acute Kidney Injury electronic alert algorithm was introduced in April 2015 across both primary and secondary care in NHS Tayside accompanied by a programme of education. Data from a 12-month period (2012) predating introduction of the e-alerts were compared with a 12-month period following implementation of e-alerts for AKI. Biochemistry testing following the AKI episode, timing of repeat tests and numbers of patients hospitalized within 7 days of episode were compared between the two time periods.
resultsDuring the 12 months after e-alert introduction, 9781 AKI e-alerts were generated. Of these, 1460 (14.9%) alerts were generated in primary care. Median duration to repeat blood testing for these primary care alerts was 5 days for AKI Stage 1 [interquartile range (IQR) 2-10], 2 days for Stage 2 (IQR 1-5) and 1 day (IQR 0-2) for Stage 3. During 2012 (prior to e-alert implementation) 8812 AKI episodes were identified. Of these, 2650 tests (30.1%) were requested by primary care staff. Median duration to repeat creatinine testing was longer: 55 days (IQR 20-142) for Stage 1, 38 days (IQR 15-128) for Stage 2 was and 53 days (IQR 20-137) for Stage 3. More patients had biochemistry tests repeated within 7 days of AKI onset, pre-alert implementation; 252 (9.5%) versus 857 (58.7%) (P < 0.001). Rates of hospitalization within 7 days of AKI increased from 342 (12.9%) pre-implementation to 372 (25.5%) post-implementation (P < 0.001).
conclusionsWithin primary care, e-alert implementation was associated with higher rates of creatinine monitoring, but also higher rates of hospitalization.
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