Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs

• Published in: Journal of medical Internet research 2019-07, Vol.21 (7), p.e13147-e13147
• Main Authors: Connell, Alistair, Raine, Rosalind, Martin, Peter, Barbosa, Estela Capelas, Morris, Stephen, Nightingale, Claire, Sadeghi-Alavijeh, Omid, King, Dominic, Karthikesalingam, Alan, Hughes, Cían, Back, Trevor, Ayoub, Kareem, Suleyman, Mustafa, Jones, Gareth, Cross, Jennifer, Stanley, Sarah, Emerson, Mary, Merrick, Charles, Rees, Geraint, Montgomery, Hugh, Laing, Christopher
• Format: Article
• Language: English
• Subjects: Delivery of Health Care - economics; Female; Humans; Male; Original Paper; Telemedicine - methods; Treatment Outcome
• ISSN: 1438-8871; 1439-4456; 1438-8871
• DOI: 10.2196/13147

The development of acute kidney injury (AKI) in hospitalized patients is associated with adverse outcomes and increased health care costs. Simple automated e-alerts indicating its presence do not appear to improve outcomes, perhaps because of a lack of explicitly defined integration with a clinical response. We sought to test this hypothesis by evaluating the impact of a digitally enabled intervention on clinical outcomes and health care costs associated with AKI in hospitalized patients. We developed a care pathway comprising automated AKI detection, mobile clinician notification, in-app triage, and a protocolized specialist clinical response. We evaluated its impact by comparing data from pre- and postimplementation phases (May 2016 to January 2017 and May to September 2017, respectively) at the intervention site and another site not receiving the intervention. Clinical outcomes were analyzed using segmented regression analysis. The primary outcome was recovery of renal function to ≤120% of baseline by hospital discharge. Secondary clinical outcomes were mortality within 30 days of alert, progression of AKI stage, transfer to renal/intensive care units, hospital re-admission within 30 days of discharge, dependence on renal replacement therapy 30 days after discharge, and hospital-wide cardiac arrest rate. Time taken for specialist review of AKI alerts was measured. Impact on health care costs as defined by Patient-Level Information and Costing System data was evaluated using difference-in-differences (DID) analysis. The median time to AKI alert review by a specialist was 14.0 min (interquartile range 1.0-60.0 min). There was no impact on the primary outcome (estimated odds ratio [OR] 1.00, 95% CI 0.58-1.71; P=.99). Although the hospital-wide cardiac arrest rate fell significantly at the intervention site (OR 0.55, 95% CI 0.38-0.76; P