Digital symptom monitoring with patient-reported outcomes in community oncology practices: A U.S. national cluster randomized trial.

349527 Background: Symptoms are common during cancer care but often go undetected. Digital systems that elicit patient-reported outcomes (PRO) surveys may detect symptoms early and prompt clinicians to intervene, thereby alleviating suffering and averting complications. Methods: In a cluster-randomized trial, U.S.-based community oncology practices were randomized 1:1 to digital symptom monitoring with PRO surveys, or to usual care control. Patients receiving systemic treatment for metastatic cancer were eligible. At PRO practices, participants were invited to complete a weekly survey via web or automated telephone system for up to one year, including questions about nine common symptoms, performance status, and falls. Severe or worsening symptoms triggered electronic alerts to care team nurses, and reports showing longitudinal symptom data were available to oncologists at visits. Pre-specified secondary outcomes included impact on physical function, symptom control, and health-related quality of life (HRQL). The primary outcome of survival is not yet mature. Results: At 52 practices, 1,191 patients were eligible and enrolled (593 PRO; 598 control). Clinically meaningful benefits were experienced in physical function by 13.8% more patients with PRO versus control (P=0.009); symptom control by 16.1% (P=0.003); and HRQL by 13.4% (P=0.006). Mean changes from baseline were superior with PRO versus control for physical function (mean difference 2.47, 95% CI 0.41-4.53; P=0.02), symptom control (2.56, 0.95-4.17; P=0.002), and HRQL (2.43, 0.90-3.96; P=0.002). Patients completed 20,565/22,486 (91.5%) of expected weekly PRO surveys. Conclusions: Digital symptom monitoring during cancer treatment confers clinical benefits. Clinical trial information: NCT03249090.

Electronic alerts for acute kidney injury across primary and secondary care

ProblemIn 2009 the National Confidential Enquiry into Patient Outcome and Death suggested only 50% of patients with acute kidney injury (AKI) receive good standards of care. In response National Health Service (NHS) England mandated the use of electronic AKI alerts within secondary care. However, we recognised AKI is not just a secondary care problem, where primary care has a crucial role to play in prevention, early detection and management as well as post-AKI care.MethodsAKI alerts were implemented in primary and secondary care services for a population of 480 000. Comparisons were made in AKI incidence, peak creatinine following AKI and renal recovery in the years before and after using Byar’s approximation (95% CI).InterventionA complex quality improvement initiative was implemented based on the design and integration of an AKI alerting system within laboratory information management systems for primary and secondary care, with an affixed URL for clinicians to access a care bundle of AKI guidelines on safe prescribing, patient advice and early contact with nephrology.ResultsThe intervention was associated with an 8% increase in creatinine testing (n=32 563). Hospital acquired AKI detection increased by 6%, while community acquired AKI detection increased by 3% and AKI stage 3 detected in primary care fell by 14%. The intervention overall had no effect on AKI severity but did improve follow-up testing and renal recovery. Importantly hospital AKI 3 recoveries improved by 22%. In a small number of AKI cases, the algorithm did not produce an alert resulting in a reduction in follow-up testing compared with preintervention levels.ConclusionThe introduction of AKI alerts in primary and secondary care, in conjunction with access to an AKI care bundle, was associated with higher rates of repeat blood sampling, AKI detection and renal recovery. Validating accuracy of alerts is required to avoid patient harm.

For Whom the Bell Tolls: Acute Kidney Injury and Electronic Alerts for the Pediatric Nephrologist

With the advent of the electronic medical record, automated alerts have allowed for improved recognition of patients with acute kidney injury (AKI). Pediatric patients have the opportunity to benefit from such alerts, as those with a diagnosis of AKI are at risk of developing long-term consequences including reduced renal function and hypertension. Despite extensive studies on the implementation of electronic alerts, their overall impact on clinical outcomes have been unclear. Understanding the results of these studies have helped define best practices in developing electronic alerts with the aim of improving their impact on patient care. As electronic alerts for AKI are applied to pediatric patients, identifying their strengths and limitations will allow for continued improvement in its use and efficacy.

The impact of e-alerts on inpatient diagnosis and management of acute kidney injury

Aims/Background Electronic alerts can help with the early detection of acute kidney injury in hospitalised patients. Evidence for their role in improving patient care is limited. The authors have completed an audit loop to evaluate the impact of electronic alerts, and an associated acute kidney injury management pathway, on patient care. Methods The audits were conducted at a large tertiary care hospital in the UK. Case notes were reviewed for 99 patients over two periods: pre-alert (in 2013; n=55) and post-alert (in 2018; n=44), using the same methodology. Patients for case note reviews were randomly chosen from the list of acute kidney injury alerts generated by the local laboratory information management system. Results Recognition of acute kidney injury, as documented in the case notes, increased from 15% to 43% between the two periods. Time to first medical review (following electronic alerts) improved by 17 minutes (median 4 hours 4 minutes in 2013 vs 3 hours 47 minutes in 2018). Completion of pre-defined acute kidney injury assessment tasks (review of vital signs, biochemistry and acid–base parameters, evidence of fluid balance assessment, consideration of possible sepsis, and examination or requesting urinalysis) improved in 2018. However, acute kidney injury management tasks (correction of hypovolaemia, addressing or investigating obstruction, medications review, renal referral, requesting of further biochemical tests, addressing possible sepsis) showed very little or no improvement. Conclusions The introduction of acute kidney injury electronic alerts and management pathway resulted in improved recognition and initial assessment of patients with acute kidney injury. Further steps are needed to translate this in to improved patient management.

Electronic health record alerts enhance mass screening for chronic hepatitis B

To measure the effect of an electronic health record (EHR) alert on chronic hepatitis B (CHB) screening among at-risk Asian and Pacific Islanders (API). API patients who had not yet completed hepatitis B surface antigen (HBsAg) testing were identified by a novel EHR-based population health tool. At-risk API patients in Cohort 1 (primarily privately insured) and Cohort 2 (includes Medicare and/or Medicaid) were randomized to alert activation in their electronic medical charts or not. In total, 8299 API were found to be deficient in HBsAg completion at baseline within our health system. In Cohort 1, 1542 patients and 1568 patients were randomized to the alert and control respectively. In Cohort 2, 2599 patients and 2590 patients were randomized to the alert and control respectively. For both cohorts combined, 389 HBsAg tests were completed in the alert group compared to 177 HBsAg tests in the control group (p < 0.0001; OR = 2.3; 95% CI 1.94–2.80), but there was no increased detection of HBsAg positivity from the alert (15 versus 13 respectively, p = 0.09; OR = 0.5; 95% CI 0.24–1.09). Our results demonstrate that personalized, automated electronic alerts increase screening for CHB, but more comprehensive measures are needed to detect HBsAg positive patients. NIH Trial Registry Number: NCT04240678.

Impact of electronic alerts for acute kidney injury on patient outcomes: interrupted time-series analysis of population cohort data

Background Automated acute kidney injury (AKI) electronic alerts (e-alerts) are rule-based warnings triggered by changes in creatinine and are intended to facilitate earlier detection in AKI. We assessed the impact of the introduction in the Tayside region of UK in April 2015 of automated AKI e-alerts with an accompanying education programme. Methods Interrupted time-series analysis using segmented regression was performed involving all adults with AKI aged ≥18 years who had a serum creatinine measured between 1 April 2013 and 31 March 2017. Analysis evaluated associations of AKI e-alert introduction on rate and severity (Stages 2–3) of AKI as well as mortality and occupied hospital bed days per patient per month in the population with AKI. Results There were 32 320 episodes of AKI during the observation period. Implementation of e-alerts had no effect on the rate of any AKI [incidence rate ratio (IRR) 0.996, 95% confidence interval (CI) 0.991 to 1.001, P = 0.086] or on the rate of severe AKI (IRR 0.995, 95% CI 0.990 to 1.000, P = 0.061). Subgroup analysis found no impact on the rate or severity of AKI in hospital or in the community. Thirty-day mortality following AKI did not improve (IRR 0.998, 95% CI 0.987 to 1.009, P = 0.688). There was a slight reduction in occupied bed days (β-coefficient −0.059, 95% CI −0.094 to −0.025, P = 0.002). Conclusions Introduction of automated AKI e-alerts was not associated with a change in the rate, severity or mortality associated with AKI, but there was a small reduction in occupied hospital bed days.

Acute kidney injury demographics and outcomes: changes following introduction of electronic acute kidney injury alerts—an analysis of a national dataset

Background Electronic alerts for acute kidney injury (AKI) have been widely advocated. Our aim was to describe the changes in AKI demographics and outcomes following implementation of a national electronic AKI alert programme. Methods A prospective national cohort study was undertaken to collect data on all cases of AKI in adult patients (≥18 years of age) between 1 April 2015 and 31 March 2019. Results Over the period of data collection, there were 193 838 AKI episodes in a total of 132 599 patients. The lowest incidence of AKI was seen in the first year after implementation of electronic alerts. A 30-day mortality was highest in Year 1 and significantly lower in all subsequent years. A direct comparison of mortality in Years 1 and 4 demonstrated a significantly increased relative risk (RR) of death in Year 1: RR = 1.08 [95% confidence interval (CI) 1.054–1.114 P &lt; 0.001]. This translates into a number needed to treat in Year 4 for one additional patient to survive of 69.5 (95% CI 51.7–106.2) when directly comparing the outcomes across the 2 years. The increase in the number of cases and improved outcomes was more pronounced in community-acquired AKI, and was associated with a significant increase in patient hospitalization. Conclusions This study represents the first large-scale dataset to clearly demonstrate that a national AKI alerting system which highlights AKI is associated with a change in both AKI demographics and patient outcomes.