Assessment of a Targeted Electronic Health Record Intervention to Reduce Telemetry Duration: A Cluster-Randomized Clinical Trial

Optimizing Decision Support Alerts to Reduce Telemetry Duration: A Multicenter Evaluation

BACKGROUND

 Telemetry monitoring is crucial for high-risk patients but excessive use beyond practice standards increases costs. Prior studies have shown that electronic health record (EHR) alerts reduce low-value telemetry monitoring. However, specific components of these alerts that contribute to effectiveness are unknown.

OBJECTIVES

 We aimed to revise previously implemented EHR Best Practice Advisories (BPAs) to optimize their effectiveness in reducing telemetry duration. The secondary objective was to assess the impact on clinicians' alert burden.

METHODS

 A multicenter retrospective study was conducted at Johns Hopkins Hospital (JHH), Johns Hopkins Bayview Medical Center (JHBMC), and Howard County General Hospital (HCGH). An EHR alert in the form of a BPA was previously implemented at JHH/JHBMC, firing at 24, 48, or 72 hours based on order indication. HCGH used an alert firing every 24 hours. A revised BPA was implemented at all hospitals optimizing the prior JHH/JHBMC alert by including patient-specific telemetry indications, restricting alerts to daytime hours (8:00 a.m.-6:00 p.m.), and embedding the discontinuation order within the BPA alert. A retrospective analysis from October 2018 to December 2021 was performed. The primary outcome was telemetry duration. The secondary outcome was the mean monthly BPA alerts per patient-day.

RESULTS

 Compared with the original BPA, the revised BPA reduced telemetry duration by a mean of 6.7 hours (95% CI: 5.2-9.1 hours, p < 0.001) at JHH/JHBMC, with a minimal increase of 0.06 mean monthly BPA alerts per patient-day (p < 0.001). The BPA acceptance rate increased from 7.8 to 31.3% postintervention at JHH/JHBMC (p < 0.0001). At HCGH, the intervention led to a mean monthly reduction of 20.2 hours in telemetry duration per hospitalization (95% CI: 19.1-22.8 hours, p < 0.0001).

CONCLUSION

 Optimizing EHR BPAs reduces unnecessary telemetry duration without substantially increasing clinician alert burden. This study highlights the importance of tailoring EHR alerts to enhance effectiveness and promote value-based care.

"4 E's" Ways That Clinicians Can Reduce Low-Value Care on Medical Wards

This JAMA Network Insight demonstrates examples of how clinicians can implement stepwise changes to reduce unnecessary patient harms, using the 4 E’s.

Mixed-methods Evaluation of an Expedited Partner Therapy Take-home Medication Program: Pilot Emergency Department Intervention to Improve Sexual Health Equity

Background: Treatment for partners of patients diagnosed with sexually transmitted infections (STI), referred to as expedited partner therapy (EPT), is infrequently used in the emergency department (ED). This was a pilot program to initiate and evaluate EPT through medication-in-hand ("take-home") kits or paper prescriptions. In this study we aimed to assess the frequency of EPT prescribing, the efficacy of a randomized best practice advisory (BPA) on the uptake, perceptions of emergency clinicians regarding the EPT pilot, and factors associated with EPT prescribing. Methods: We conducted this pilot study at an academic ED in the midwestern US between August-October 2021. The primary outcome of EPT prescription uptake and the BPA impact was measured via chart abstraction and analyzed through summary statistics and the Fisher exact test. We analyzed the secondary outcome of barriers and facilitators to program implementation through ED staff interviews (physicians, physician assistants, and nurses). We used a rapid qualitative assessment method for the analysis of the interviews. Results: During the study period, 52 ED patients were treated for chlamydia/gonorrhea, and EPT was offered to 25% (95% CI 15%-39%) of them. Expedited partner therapy was prescribed significantly more often (42% vs 8%; P < 0.01) when the interruptive pop-up alert BPA was shown compared to not shown. Barriers identified in the interviews included workflow constraints and knowledge of EPT availability. The BPA was viewed positively by the majority of participants. Conclusion: In this pilot EPT program, expedited partner therapy was provided to 25% of ED patients who appeared eligible to receive it. The interruptive pop-up alert BPA significantly increased EPT prescribing. Barriers identified to EPT prescribing should be the subject of future interventions to improve provision of EPT from the emergency department.

A behavioral intervention to promote use of multimodal pain medication for hospitalized patients: A randomized controlled trial

BACKGROUND

The use of nonsteroidal anti-inflammatory drugs (NSAIDs) can reduce pain and has become a core strategy to decrease opioid use, but there is a lack of data to describe encouraging use when admitting patients using electronic health record systems.

OBJECTIVE

Assess an electronic health record system to increase ordering of NSAIDs for hospitalized adults.

DESIGNS, SETTINGS AND PARTICIPANTS

We performed a cluster randomized controlled trial of clinicians admitting adult patients to a health system over a 9-month period. Clinicians were randomized to use a standard admission order set.

INTERVENTION

Clinicians in the intervention arm were required to actively order or decline NSAIDs; the control arm was shown the same order but without a required response.

MAIN OUTCOME AND MEASURES

The primary outcome was NSAIDs ordered and administered by the first full hospital day. Secondary outcomes included pain scores and opioid prescribing.

RESULTS

A total of 20,085 hospitalizations were included. Among these hospitalizations, patients had a mean age of 58 years, and a Charlson comorbidity score of 2.97, while 50% and 56% were female and White, respectively. Overall, 52% were admitted by a clinician randomized to the intervention arm. NSAIDs were ordered in 2267 (22%) interventions and 2093 (22%) control admissions (p = .10). Similarly, there were no statistical differences in NSAID administration, pain scores, or opioid prescribing. Average pain scores (0-5 scale) were 3.36 in the control group and 3.39 in the intervention group (p = .46). There were no differences in clinical harms.

CONCLUSIONS AND RELEVANCE

Requiring an active decision to order an NSAID at admission had no demonstrable impact on NSAID ordering. Multicomponent interventions, perhaps with stronger decision support, may be necessary to encourage NSAID ordering.

Electronic Health Record-Nested Reminders for Serum Lithium Level Monitoring in Patients With Mood Disorder: Randomized Controlled Trial

BACKGROUND

Clinical guidelines recommend regular serum lithium monitoring every 3 to 6 months. However, in the real world, only a minority of patients receive adequate monitoring.

OBJECTIVE

This study aims to examine whether the use of the electronic health record (EHR)-nested reminder system for serum lithium monitoring can help achieve serum lithium concentrations within the therapeutic range for patients on lithium maintenance therapy.

METHODS

We conducted an unblinded, single-center, EHR-nested, parallel-group, superiority randomized controlled trial comparing EHR-nested reminders with usual care in adult patients receiving lithium maintenance therapy for mood disorders. The primary outcome was the achievement of therapeutically appropriate serum lithium levels between 0.4 and 1.0 mEq/L at 18 months after enrollment. The key secondary outcomes are included as follows: the number of serum lithium level monitoring except for the first and final monitoring; exacerbation of the mood disorder during the study period, defined by hospitalization, increase in lithium dose, addition of antipsychotic drugs or mood stabilizers, or addition or increase of antidepressants; adherence defined by the proportion of days covered by lithium carbonate prescription during the study period.

RESULTS

A total of 111 patients were enrolled in this study. A total of 56 patients were assigned to the reminder group, and 55 patients were assigned to the usual care group. At the follow-up, 38 (69.1%) patients in the reminder group and 33 (60.0%) patients in the usual care group achieved the primary outcome (odds ratio 2.14, 95% CI 0.82-5.58, P=.12). The median number of serum lithium monitoring was 2 in the reminder group and 0 in the usual care group (rate ratio 3.62; 95% CI 2.47-5.29, P<.001). The exacerbation of mood disorders occurred in 17 (31.5%) patients in the reminder group and in 16 (34.8%) patients in the usual care group (odds ratio 0.97, 95% CI 0.42-2.28, P=.95).

CONCLUSIONS

We found insufficient evidence for an EHR-nested reminder to increase the achievement of therapeutic serum lithium concentrations. However, the number of monitoring increased with relatively simple and inexpensive intervention. The EHR-based reminders may be useful to improve quality of care for patients on lithium maintenance therapy, and they have potentials to be applied to other problems.

TRIAL REGISTRATION

University Hospital Medical Information Network Clinical Trials Registry UMIN000033633; https://tinyurl.com/5n7wtyav.

The Need for Data Standards and Implementation Policies to Integrate CGM Data into the Electronic Health Record

The current lack of continuous glucose monitor (CGM) data integration into the electronic health record (EHR) is holding back the use of this wearable technology for patient-generated health data (PGHD). This failure to integrate with other healthcare data inside the EHR disrupts workflows, removes the data from critical patient context, and overall makes the CGM data less useful than it might otherwise be. Many healthcare organizations (HCOs) are either struggling with or delaying designing and implementing CGM data integrations. In this article, the current status of CGM integration is reviewed, goals for integration are proposed, and a consensus plan to engage key stakeholders to facilitate integration is presented.

Tell-a provider about tele: Reducing overuse of telemetry across 10 hospitals in a safety net system

BACKGROUND

Telemetry is often a scarce resource at hospitals and is important for arrhythmia and myocardial ischemia detection. Overuse of telemetry monitoring leads to alarm fatigue resulting in failure to respond to arrhythmias, patient harm, and possible unnecessary testing.

METHODS

This quality improvement initiative was implemented across NYC Health and Hospitals, an 11-hospital urban safety net system. The electronic health record intervention involved the addition of a mandatory indication in the telemetry order and a best practice advisory (BPA) that would fire after the recommended time period for reassessment had passed.

RESULTS

The average telemetry hours per patient encounter went from 60.1 preintervention to 48.4 postintervention, a 19.5% reduction (p < .001). When stratified by the 11 hospitals, decreases ranged from 9% to 30%. The BPA had a 53% accept rate and fired 52,682 times, with 27,938 "discontinue telemetry" orders placed. The true accept rate was 50.4%, as there was a 2.6% 24-h reorder rate. There was variation based on clinician specialty and clinician type (attending, fellow, resident, physician associate, nurse practitioner).

CONCLUSION

We successfully reduced telemetry monitoring across a multisite safety net system using solely an electronic health record (EHR) intervention. This expands on previous telemetry monitoring reduction initiatives using EHR interventions at single academic sites. Further study is needed to investigate variation across clinician type, specialty, and post-acute sites.

The impact of clinical decision support systems on provider behavior in the inpatient setting: A systematic review and meta-analysis

BACKGROUND

Clinical decision support systems (CDSS) are used to improve processes of care. CDSS proliferation may have unintended consequences impacting effectiveness.

OBJECTIVE

To evaluate the effectiveness of CDSS in altering clinician behavior.

DESIGN

Electronic searches were performed in EMBASE, PubMed, and Cochrane Central Register of Control Trials for randomized controlled trials testing the impacted of CDSS on clinician behavior from 2000-2021. Extracted data included study design, CDSS attributed and outcomes, user characteristics, settings, and risk of bias. Eligible studies were analyzed qualitatively to describe CDSS types. Studies with sufficient outcome data were included in the meta-analysis.

SETTING AND PARTICIPANTS

Adult inpatients in the United States.

INTERVENTION

Clinical decision support system versus non-clinical decision support system.

MAIN OUTCOME AND MEASURE

A random-effects model measured the pooled risk difference (RD) and odds ratio of clinicians' adherence to CDSS; subgroup analyses tested differences in CDSS effectiveness over time and by CDSS type.

RESULTS

Qualitative synthesis included 22 studies. Eleven studies reported sufficient outcome data for inclusion in the meta-analysis. CDSS did not result in a statistically significant increase in clinician adoption of desired practicies (RD = 0.04 [95% confidence interval {CI} 0.00, 0.07]). CDSS from 2010-2015 (n = 5) did not increase clinician adoption of desired practice [RD -0.01, (95% CI -0.04, 0.02)].CDSS from 2016-2021 (n = 6) were associated with an increase in targeted practices [RD 0.07 (95% CI0.03, 0.12)], pInteraction = 0.004. EHR [RD 0.04 (95% CI 0.00, 0.08)] vs. non-EHR [RD 0.01 (95% CI -0.01, 0.04)] based CDSS interventions did not result in different adoption of desired practices (pInteraction = 0.27). The meta-analysis did not find an overall positive impact of CDSS on clinician behavior in the inpatient setting.

Practical steps to identifying the research risk of pragmatic trials

BACKGROUND

Pragmatic randomized clinical trials that compare two or more purportedly "within the standard of care" interventions attempt to provide real-world evidence for policy and practice decisions. There is considerable debate regarding their research risk status, which in turn could lead to debates about appropriate consent requirements. Yet no practical guidance for identifying the research risks of pragmatic randomized clinical trials is available.

METHODS

We developed a practical, four-step process for identifying and evaluating the research risk of pragmatic trials that can be applied to those pragmatic randomized clinical trials that compare two or more "standard of care" or "accepted" interventions.

RESULTS

Using a variety of examples of standard of care pragmatic randomized clinical trials (ranging from trials comparing: insurance coverage conditions, patient reminders for health screens, intensive care unit procedures, post-stroke interventions, and drugs for life-threatening conditions), we illustrate in a four-step process how any pragmatic randomized clinical trial purportedly comparing standard interventions can be evaluated for their research risks.

CONCLUSION

Although determining the risk status of a standard of care pragmatic randomized clinical trial is only one necessary element in the ethical oversight of such pragmatic randomized clinical trials, it is a central element. Our four-step process of pragmatic randomized clinical trial risk determination provides a practical, transparent, and systematic approach with likely low risk of bias.

Alert burden in pediatric hospitals: a cross-sectional analysis of six academic pediatric health systems using novel metrics

BACKGROUND

Excessive electronic health record (EHR) alerts reduce the salience of actionable alerts. Little is known about the frequency of interruptive alerts across health systems and how the choice of metric affects which users appear to have the highest alert burden.

OBJECTIVE

(1) Analyze alert burden by alert type, care setting, provider type, and individual provider across 6 pediatric health systems. (2) Compare alert burden using different metrics.

MATERIALS AND METHODS

We analyzed interruptive alert firings logged in EHR databases at 6 pediatric health systems from 2016-2019 using 4 metrics: (1) alerts per patient encounter, (2) alerts per inpatient-day, (3) alerts per 100 orders, and (4) alerts per unique clinician days (calendar days with at least 1 EHR log in the system). We assessed intra- and interinstitutional variation and how alert burden rankings differed based on the chosen metric.

RESULTS

Alert burden varied widely across institutions, ranging from 0.06 to 0.76 firings per encounter, 0.22 to 1.06 firings per inpatient-day, 0.98 to 17.42 per 100 orders, and 0.08 to 3.34 firings per clinician day logged in the EHR. Custom alerts accounted for the greatest burden at all 6 sites. The rank order of institutions by alert burden was similar regardless of which alert burden metric was chosen. Within institutions, the alert burden metric choice substantially affected which provider types and care settings appeared to experience the highest alert burden.

CONCLUSION

Estimates of the clinical areas with highest alert burden varied substantially by institution and based on the metric used.

Harnessing the Electronic Health Record to Actively Support Providers with Guideline-Directed Telemetry Use

BACKGROUND

Overuse of cardiac telemetry monitoring (telemetry) can lead to alarm fatigue, discomfort for patients, and unnecessary medical costs. Currently there are evidence-based recommendations describing appropriate telemetry use, but many providers are unaware of these guidelines.

OBJECTIVES

At our multihospital health system, our goal was to support providers in ordering telemetry on acute care in accordance with evidence-based guidelines and discontinuing telemetry when it was no longer medically indicated.

METHODS

We implemented a multipronged electronic health record (EHR) intervention at two academic medical centers, including: (1) an order set requiring providers to choose an indication for telemetry with a recommended duration based on American Heart Association guidelines; (2) an EHR-generated reminder page to the primary provider recommending telemetry discontinuation once the guideline-recommended duration for telemetry is exceeded; and (3) documentation of telemetry interpretation by telemetry technicians in the notes section of the EHR. To determine the impact of the intervention, we compared number of telemetry orders actively discontinued prior to discharge and telemetry duration 1 year pre- to 1 year post-intervention on acute care medicine services. We evaluated sustainability at years 2 and 3.

RESULTS

Implementation of the EHR initiative resulted in a statistically significant increase in active discontinuation of telemetry orders prior to discharge: 15% (63.4-78.7%) at one site and 13% at the other (64.1-77.4%) with greater improvements on resident teams. Fewer acute care medicine telemetry orders were placed on medicine services across the system (1,503-1,305) despite an increase in admissions and the average duration of telemetry decreased at both sites (62 to 47 hours, p < 0.001 and 73 to 60, p < 0.001, respectively). Improvements were sustained 2 and 3 years after intervention.

CONCLUSION

Our study showed that a low-cost, multipart, EHR-based intervention with active provider engagement and no additional education can decrease telemetry usage on acute care medicine services.

Reducing Prescribing Errors in Hospitalized Children on the Ketogenic Diet

BACKGROUND

Children on the ketogenic diet must limit carbohydrate intake to maintain ketosis and reduce seizure burden. Patients on ketogenic diet are vulnerable to harm in the hospital setting where carbohydrate-containing medications are commonly prescribed. We developed clinical decision support to reduce inappropriate prescription of carbohydrate-containing medications in hospitalized children on ketogenic diet.

METHODS

A clinical decision support alert was developed through formative and summative usability testing. The alert warned prescribers when they entered an order for a carbohydrate-containing medication in patients on ketogenic diet. The alert was implemented using a quasi-experimental design with sequential crossover from control to intervention at two tertiary care pediatric hospitals within a single health system. The primary outcome was carbohydrate-containing medication orders per patient-day.

RESULTS

During the study period, there were 280 ketogenic diet patient admissions totaling 1219 patient-days. The carbohydrate-containing medication order rate declined from 0.69 to 0.35 orders per patient-day (absolute rate reduction 0.34, 95% confidence interval 0.25-0.43), corresponding to 256 inappropriate orders prevented. The alert fired 398 times and was accepted (i.e., the order was removed) 227 times for an overall acceptance rate of 57%.

CONCLUSIONS

Implementation of a clinical decision support alert at order-entry resulted in a sustained reduction in carbohydrate-containing medication orders for hospitalized patients on ketogenic diet without an increase in alert burden. Clinical decision support developed with user-centered design principles can improve patient safety for children on ketogenic diet by influencing prescriber behavior.

Direct oral anticoagulants: a review on the current role and scope of reversal agents

New guideline recommendations prefer direct oral anticoagulants (DOACs) over warfarin in DOAC-eligible patients with atrial fibrillation and patients with venous thromboembolism. As expected with all antithrombotic agents, there is an associated increased risk of bleeding complications in patients receiving DOACs that can be attributed to the DOAC itself, or other issues such as acute trauma, invasive procedures, or underlying comorbidities. For the majority of severe bleeding events, the widespread approach is to withdraw the DOAC, then provide supportive measures and "watchful waiting" with the expectation that the bleeding event will resolve with time. However, urgent reversal of anticoagulation may be advantageous in patients with serious or life-threatening bleeding or in those requiring urgent surgery or procedures. Until recently, the lack of specific reversal agents, has affected the uptake of these agents in clinical practice despite a safer profile compared to warfarin in clinical trials. In cases of life-threatening or uncontrolled bleeding or when patients require emergency surgery or urgent procedures, idarucizumab has been recently approved for reversal of anticoagulation in dabigatran-treated patients and andexanet alfa for factor Xa inhibitor-treated treated patients. The current review summarizes the current clinical evidence and scope of these agents with the potential impact on DOAC use in clinical practice.

Changing Provider PSA Screening Behavior Using Best Practice Advisories: Interventional Study in a Multispecialty Group Practice

BACKGROUND

Most guidelines recommend against PSA-based screening for prostate cancer in men ≥ 70 years of age. Adherence to these guidelines is variable.

OBJECTIVE

To determine whether the use of a "Best Practice Advisory" (BPA) intervention within the electronic medical record (EMR) system can alter the rate of PSA screening in men ≥ 70 years of age.

DESIGN

This is an interventional study spanning the years 2013 through 2017, in men ≥ 70 years of age in Kaiser Permanente Northern California with no prior history of prostate cancer. The BPA intervention was activated in the EMR system on October 15, 2015, with no prior notice or education.

SETTING

Integrated healthcare system including all Kaiser Permanente Northern California facilities.

PARTICIPANTS

A population-based sample that included all male members ≥ 70 years of age without a history of prostate cancer.

MAIN MEASURES

The main outcome was the rate of PSA testing in men ≥ 70 years of age. We compared the rates of PSA testing between the pre-BPA period (January 1, 2013-October 14, 2015) and the post-BPA period (October 15, 2015-December 31, 2017). An interrupted time series analysis of PSA ordering rates was performed.

KEY RESULTS

Following the 2015 BPA intervention, screening rates substantially declined from 36.0 per 100 person-years to 14.9 per 100 person-years (rate ratio = 0.415; 95% CI: 0.410-0.419). The effect of the BPA was comparable among all patient races and ordering provider specialties. The interrupted time series analysis showed a rapid, large, and sustained drop in the rate of PSA ordering, and much less temporal variation in test ordering after activation of the BPA.

CONCLUSION

Following activation of a BPA within the EMR, the rates of inappropriate PSA testing significantly declined by 58.5% in men ≥ 70 years of age and temporal variation was reduced.

Lessons Learned from Efforts to Reduce Overuse of Cardiac Telemetry Monitoring

BACKGROUND

Inappropriate use of telemetry monitoring is common, increasing costs, false alarms, and length of stay. The Society of Hospital Medicine and Choosing Wisely encourage the use of discontinuation protocols.

METHODS

This quality improvement initiative measured the impact of an educational intervention and distribution of performance reports for physicians and residents on the general medicine service. The intervention group received a 15-minute didactic session on appropriate indications for telemetry followed by weekly performance reports for 78 weeks. A segmented linear regression model and Student's t-test were used to determine intervention effects on percentage of patients on telemetry and telemetry orders lasting more than 48 hours.

RESULTS

Prior to the intervention, 4.8% of patients received telemetry monitoring; 13.4% of telemetry orders exceeded 48 hours. The control service had a baseline telemetry utilization of 2.4%; 1.2% of telemetry orders exceeded 48 hours. After the intervention, 3.9% of patients received telemetry monitoring; 10.6% of telemetry orders exceeded 48 hours. The control service had a postintervention telemetry utilization of 2.1%; 1.1% of telemetry orders exceeded 48 hours. The Student's t-test showed a statistically significant (p = 0.002) decrease in telemetry ordering rate on the intervention service and no significant change in the control group. However, when using segmented linear regression analysis, these changes could not be attributed to the intervention nor were there any significant changes in balancing metrics.

CONCLUSION

Education and weekly performance feedback did not significantly impact telemetry according to segmented linear regression results. Segmented linear regression analysis of an interrupted time series yielded significantly different results from a pre-post comparison using Student's t-test. Rigorous evaluation is vital to decreasing unnecessary care and successful reduction in unnecessary care may require interventions that capitalize on systems-level change.

Randomized Controlled Trials of Electronic Health Record Interventions: Design, Conduct, and Reporting Considerations

Electronic health record (EHR) systems can be configured to deliver novel EHR interventions that influence clinical decision making and to support efficient randomized controlled trials (RCTs) designed to evaluate the effectiveness, safety, and costs of those interventions. In designing RCTs of EHR interventions, one should carefully consider the unit of randomization (for example, patient, encounter, clinician, or clinical unit), balancing concerns about contamination of an intervention across randomization units within clusters (for example, patients within clinical units) against the superior control of measured and unmeasured confounders that comes with randomizing a larger number of units. One should also consider whether the key computational assessment components of the EHR intervention, such as a predictive algorithm used to target a subgroup for decision support, should occur before randomization (so that only 1 subgroup is randomized) or after randomization (including all subgroups). When these components are applied after randomization, one must consider expected heterogeneity in the effect of the differential decision support across subgroups, which has implications for overall impact potential, analytic approach, and sample size planning. Trials of EHR interventions should be reviewed by an institutional review board, but may not require patient-level informed consent when the interventions being tested can be considered minimal risk or quality improvement, and when clinical decision making is supported, rather than controlled, by an EHR intervention. Data and safety monitoring for RCTs of EHR interventions should be conducted to guide institutional pragmatic decision making about implementation and ensure that continuing randomization remains justified. Reporting should follow the CONSORT (Consolidated Standards of Reporting Trials) Statement, with extensions for pragmatic trials and cluster RCTs when applicable, and should include detailed materials to enhance reproducibility.

E-HeaRT BPA: electronic health record telemetry BPA

INTRODUCTION

Continuous cardiac monitoring in non-critical care settings is expensive and overutilised. As such, it is an important target of hospital interventions to establish cost-effective, high-quality care. Since inappropriate telemetry use was persistently elevated at our institution, we devised an electronic best practice alert (BPA) and tested it in a randomised controlled fashion.

METHODS

Between 4 March 2018 and 5 July 2018 at our 600-bed academic hospital, all non-critical care patients who had at least one telemetry order were randomised to the control or intervention group. The intervention group received daily BPAs if telemetry was active.

RESULTS

275 and 283 patients were randomised to the intervention and control groups, respectively. The intervention group triggered 1042 alerts and trended toward fewer telemetry days (3.8 vs 5.0, p=0.017). The intervention group stopped telemetry 31.7% of the alerted patient-days compared with 23.3% for the control group (OR 1.53, 95% CI 1.24 to 1.88, p<0.001). There were no significant differences in length of stay, rapid responses, code blues, or mortality between the two groups.

CONCLUSIONS

Using a randomised controlled design, we show that BPAs significantly reduce telemetry without negatively affecting patient outcomes. They should have a role in promoting high-value telemetry use.