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Master of Public Health

Lessons Learned from Efforts to Reduce Overuse of Cardiac Telemetry Monitoring

AUTHORS

Chakravarthy R , Goggins K , Leverenz D , Trumbo SP , Kripalani S , Limper HM , . Joint Commission journal on quality and patient safety. 2020 5 18; ().

ABSTRACT

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.

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