Appropriate utilisation of cardiac telemetry monitoring: a quality improvement project

Evaluation of a Clinical Decision Support Tool to Guide Adoption of the American Heart Association Telemetry Monitoring Practice Standards

BACKGROUND

The objectives of this study were to (1) evaluate telemetry use pre- and postimplementation of clinical decision support tools to support American Heart Association practice standards for telemetry monitoring and (2) understand the factors that may contribute to variation of telemetry monitoring in practice.

METHODS AND RESULTS

First, we captured overall variability in telemetry use pre- and postimplementation of the clinical decision support intervention. We then conducted semistructured interviews with telemetry-ordering providers to identify key barriers and facilitators to adoption. During the study period, 399 physicians met criteria for inclusion and were divided into excessive and nonexcessive orderers. Distribution of telemetry use was bimodal. Among nonexcessive users, 24.4% of patient days were with telemetry compared with 51.6% among excessive users. On average, both excessive (6.1% reduction) and nonexcessive users (2.8% reduction) decreased telemetry use postimplementation, and these reductions were sustained over a 16-month period. Sixteen interviews were conducted. Physicians believed that the tool was successful because it caused them to more closely consider if telemetry was indicated for each patient. Physicians also voiced frustration with interruptions to their workflow, and some noted that they commonly use telemetry outside of practice standards to monitor patients who were acutely but not critically ill.

CONCLUSIONS

Embedding telemetry practice standards into the electronic health record in the form of clinical decision support is effective at reducing excess telemetry use. Although the intervention was well received, there are persistent barriers, such as preexisting views on telemetry and existing workflow habits, that may inhibit higher adoption of standards.

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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.

Chronic disease self-efficacy and factors influencing this in patients with ischemic stroke

BACKGROUND

Patients' self-efficacy levels are significantly associated with the process of recovery and creating social support in the inpatient recovery setting can help prevent post-stroke depression and anxiety.

OBJECTIVE

To explore the current status of factors influencing chronic disease self-efficacy in patients with ischemic stroke, to provide theoretical basis and clinical data for implementing corresponding nursing interventions.

METHODS

The study included 277 patients with ischemic stroke who were hospitalized in the neurology department of a tertiary hospital in Fuyang, Anhui Province, China from January to May 2021. Participants for the study were selected by convenience sampling method. A questionnaire for general information developed by the researcher and the Chronic Disease Self-Efficacy Scale were used for collecting data.

RESULTS

The patients' total self-efficacy score was (36.79 ± 10.89), which was in the middle to the upper level. Results of our multifactorial analysis showed that history of falls in the previous 12 months, presence of physical dysfunction, and cognitive impairment were all independent risk factors for chronic disease self-efficacy in patients with ischemic stroke (P< 0.05).

CONCLUSION

Chronic disease self-efficacy in patients with ischemic stroke was at an intermediate to high level. History of falls in the previous year, physical dysfunction, and cognitive impairment were factors influencing patients' chronic disease self-efficacy.

Post-infectious ST elevation myocardial infarction following a COVID-19 infection: A case report

Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) has been shown to increase the risk of thrombotic events due to a hypercoagulable state caused by several factors. The case of a 59-year-old woman affected by hypertension and metabolic disorders, treated for a COVID-19 infection who developed cardiac symptoms during the first days of hospitalization is reported. Electrocardiogram analysis and cardiac-ultrasound confirmed ST-segment elevation myocardial infarction (STEMI) diagnosis, thus the patient underwent percutaneous coronary intervention, which was successful. This case highlights a possible association between respiratory infection, particularly SARS-CoV-2 infection, and cardiovascular events, in particular Acute Coronary Syndrome. The association between these phenomena seems related to a range of factors, including a proinflammatory state and the hypoxemia. Moreover, the association amongst SARS-CoV-2 and cardiovascular diseases may be also linked to long-term sequelae. Thus, further studies are required to better understand the multifaceted and severe complications of this disease.

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.