TY - JOUR
T1 - Electronic Medical Record Versus Bedside Assessment
T2 - How to Evaluate Frailty in Trauma and Emergency General Surgery Patients?
AU - Weiss, Hannah K.
AU - Stocker, Benjamin W.
AU - Weingarten, Noah
AU - Engelhardt, Kathryn E.
AU - Cook, Brittany A.
AU - Posluszny, Joseph A.
N1 - Funding Information:
This work was supported by the Academy for Quality and Safety Improvement (AQSI) at Northwestern University.21 Research reported in this publication was supported, in part, by the National Institutes of Health's National Center for Advancing Translational Sciences, grant number UL1TR001422. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. H.W. and J.P. contributed to literature search, data collection, data analysis, data interpretation, writing, and critical revision. B.S. and N.W. contributed to data analysis, data interpretation, and critical revision. K.E. contributed to literature search, data collection, data analysis, data interpretation, and critical revision. B.C. contributed to data collection and critical revision.
Funding Information:
This work was supported by the Academy for Quality and Safety Improvement (AQSI) at Northwestern University. 21 Research reported in this publication was supported, in part, by the National Institutes of Health's National Center for Advancing Translational Sciences , grant number UL1TR001422 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2020/2
Y1 - 2020/2
N2 - Background: Screening patients for frailty is traditionally done at the bedside. However, recent electronic medical record (EMR)-based, comorbidity-focused frailty assessments have been developed. Our objective was to determine how a common bedside frailty assessment, the trauma and emergency surgery (TEGS) frailty index (FI), compares to an EMR-based frailty assessment in predicting geriatric TEGS outcomes. Materials and methods: We retrospectively reviewed our quality improvement project database consisting of TEGS patients ≥ 65 y old. Patients were screened with the TEGS FI, a 15-question bedside assessment, including comorbidities, physical activity, emotional health, and nutrition. Six of 15 items were retrievable from the enterprise data warehouse (EDW), storing all EMR data from Northwestern Memorial Hospital, and use to calculate the EDW frailty score. Patient characteristics and outcomes were compared between different groups. Results: Two hundred thirty-six geriatric TEGS patients were included, of which 75 (31.8%) were TEGS FI frail and 60 (25.4%) were EDW frail. TEGS FI frail patients had increased length of stay (LOS), loss of independence (LOI), and complications compared to TEGS FI nonfrail patients. EDW frail patients had higher LOS and complications than EDW nonfrail patients but similar LOI. TEGS FI and EDW frail patients had similar outcomes except TEGS FI–only patients more often have LOI. Conclusions: Bedside frailty assessments and EMR-based assessments are both effective in identifying geriatric TEGS patients at risk for increased LOS and complications. However, bedside frailty screening was better at identifying patients who have LOI and may be a more appropriate choice when screening for frailty.
AB - Background: Screening patients for frailty is traditionally done at the bedside. However, recent electronic medical record (EMR)-based, comorbidity-focused frailty assessments have been developed. Our objective was to determine how a common bedside frailty assessment, the trauma and emergency surgery (TEGS) frailty index (FI), compares to an EMR-based frailty assessment in predicting geriatric TEGS outcomes. Materials and methods: We retrospectively reviewed our quality improvement project database consisting of TEGS patients ≥ 65 y old. Patients were screened with the TEGS FI, a 15-question bedside assessment, including comorbidities, physical activity, emotional health, and nutrition. Six of 15 items were retrievable from the enterprise data warehouse (EDW), storing all EMR data from Northwestern Memorial Hospital, and use to calculate the EDW frailty score. Patient characteristics and outcomes were compared between different groups. Results: Two hundred thirty-six geriatric TEGS patients were included, of which 75 (31.8%) were TEGS FI frail and 60 (25.4%) were EDW frail. TEGS FI frail patients had increased length of stay (LOS), loss of independence (LOI), and complications compared to TEGS FI nonfrail patients. EDW frail patients had higher LOS and complications than EDW nonfrail patients but similar LOI. TEGS FI and EDW frail patients had similar outcomes except TEGS FI–only patients more often have LOI. Conclusions: Bedside frailty assessments and EMR-based assessments are both effective in identifying geriatric TEGS patients at risk for increased LOS and complications. However, bedside frailty screening was better at identifying patients who have LOI and may be a more appropriate choice when screening for frailty.
KW - Emergency surgery
KW - Frailty
KW - Geriatric
KW - Outcomes
KW - Quality improvement
KW - Trauma
UR - http://www.scopus.com/inward/record.url?scp=85073733636&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073733636&partnerID=8YFLogxK
U2 - 10.1016/j.jss.2019.09.014
DO - 10.1016/j.jss.2019.09.014
M3 - Article
C2 - 31635837
AN - SCOPUS:85073733636
SN - 0022-4804
VL - 246
SP - 464
EP - 475
JO - Journal of Surgical Research
JF - Journal of Surgical Research
ER -