Kristy Kummerow Broman1, Clark Kensinger, Charles Phillips, Betiel Fesseha, Mary-Margaret Fill, Nyal Borges, Jason Mathisen, Duncan Allen, Ed Land, Neal Patel. 1. K. Kummerow Broman is a Veterans Affairs Quality Scholar Fellow, VA Tennessee Valley Healthcare System, and general surgery resident, Vanderbilt University Medical Center, Nashville, Tennessee. C. Kensinger is a general surgery resident, Vanderbilt University Medical Center, Nashville, Tennessee. C. Phillips is pediatric chief resident, Monroe Carrell Jr. Children's Hospital, Vanderbilt University Medical Center, Nashville, Tennessee. B. Fesseha is a medical resident, Vanderbilt University Medical Center, Nashville, Tennessee. M.-M. Fill is a medical and pediatric resident, Vanderbilt University Medical Center, Nashville, Tennessee. N. Borges is a medical resident, Vanderbilt University Medical Center, Nashville, Tennessee. J. Mathisen is an administrative fellow, Vanderbilt University Medical Center, Nashville, Tennessee. D. Allen is an administrative fellow, Vanderbilt University Medical Center, Nashville, Tennessee. E. Land is a registered nurse, Vanderbilt University Hospital, Nashville, Tennessee. N. Patel is professor, Clinical Pediatrics, Monroe Carrell Jr. Children's Hospital, and chief medical informatics officer, Vanderbilt University Medical Center, Nashville, Tennessee.
Abstract
PURPOSE: Communication failures contribute to adverse clinical events and health care inefficiencies. Paged messaging remains a predominant communication mechanism at many academic medical centers. An interprofessional, institutionally sponsored initiative to improve inpatient care team communication sought to understand the content and quantity of paged messages. METHOD: A retrospective analysis at Vanderbilt University Medical Center was performed for messages delivered to the 15 highest-volume pagers carried by inpatient medical, surgical, and pediatric residents over two monthlong periods of data collection between November 2013 and February 2014. An interprofessional team defined message content categories a priori. Descriptive statistics were used to demonstrate message volume and distribution by content category. Team members and stakeholder groups discussed common message themes during and after categorization to identify targets for improving care efficiency. RESULTS: During the data collection period, 10,928 messages were paged (median 38 messages per pager per shift). The most common primary content categories were bedside nursing (2,570; 30%) and medication (2,285; 26%). Common bedside nursing communications included notification of vital signs (915; 36%), patient activity (481; 19%), and diet (444; 18%). Most medication messages were requests to start (1,253; 55%) or change (694; 30%) a common medication. The team recommended implementing anticipatory orders for common medications and routine nursing staff needs using computerized order algorithms to reduce the volume of noncritical messages. CONCLUSIONS: An interprofessional assessment of the content and volume of paged communication identified high volumes of noncritical messages that could be eliminated through better anticipation of patient care needs.
PURPOSE:Communication failures contribute to adverse clinical events and health care inefficiencies. Paged messaging remains a predominant communication mechanism at many academic medical centers. An interprofessional, institutionally sponsored initiative to improve inpatient care team communication sought to understand the content and quantity of paged messages. METHOD: A retrospective analysis at Vanderbilt University Medical Center was performed for messages delivered to the 15 highest-volume pagers carried by inpatient medical, surgical, and pediatric residents over two monthlong periods of data collection between November 2013 and February 2014. An interprofessional team defined message content categories a priori. Descriptive statistics were used to demonstrate message volume and distribution by content category. Team members and stakeholder groups discussed common message themes during and after categorization to identify targets for improving care efficiency. RESULTS: During the data collection period, 10,928 messages were paged (median 38 messages per pager per shift). The most common primary content categories were bedside nursing (2,570; 30%) and medication (2,285; 26%). Common bedside nursing communications included notification of vital signs (915; 36%), patient activity (481; 19%), and diet (444; 18%). Most medication messages were requests to start (1,253; 55%) or change (694; 30%) a common medication. The team recommended implementing anticipatory orders for common medications and routine nursing staff needs using computerized order algorithms to reduce the volume of noncritical messages. CONCLUSIONS: An interprofessional assessment of the content and volume of paged communication identified high volumes of noncritical messages that could be eliminated through better anticipation of patient care needs.