TY - JOUR
T1 - Exploring the Documentation of Delirium in Patients After Cardiac Surgery : A Retrospective Patient Record Study
AU - Poikajärvi, Satu
AU - Peltonen, Laura-Maria
AU - Siirala, Eriikka
AU - Heimonen, Juho
AU - Moen, Hans
AU - Salanterä, Sanna
AU - Junttila, Kristiina
PY - 2023
Y1 - 2023
N2 - Delirium is a common disorder for patients after cardiac surgery. Its manifestation and care can be examined through EHRs. The aim of this retrospective, comparative, and descriptive patient record study was to describe the documentation of delirium symptoms in the EHRs of patients who have undergone cardiac surgery and to explore how the documentation evolved between two periods (2005-2009 and 2015-2020). Randomly selected care episodes were annotated with a template, including delirium symptoms, treatment methods, and adverse events. The patients were then manually classified into two groups: nondelirious (n = 257) and possibly delirious (n = 172). The data were analyzed quantitatively and descriptively. According to the data, the documentation of symptoms such as disorientation, memory problems, motoric behavior, and disorganized thinking improved between periods. Yet, the key symptoms of delirium, inattention, and awareness were seldom documented. The professionals did not systematically document the possibility of delirium. Particularly, the way nurses recorded structural information did not facilitate an overall understanding of a patient's condition with respect to delirium. Information about delirium or proposed care was seldom documented in the discharge summaries. Advanced machine learning techniques can augment instruments that facilitate early detection, care planning, and transferring information to follow-up care.
AB - Delirium is a common disorder for patients after cardiac surgery. Its manifestation and care can be examined through EHRs. The aim of this retrospective, comparative, and descriptive patient record study was to describe the documentation of delirium symptoms in the EHRs of patients who have undergone cardiac surgery and to explore how the documentation evolved between two periods (2005-2009 and 2015-2020). Randomly selected care episodes were annotated with a template, including delirium symptoms, treatment methods, and adverse events. The patients were then manually classified into two groups: nondelirious (n = 257) and possibly delirious (n = 172). The data were analyzed quantitatively and descriptively. According to the data, the documentation of symptoms such as disorientation, memory problems, motoric behavior, and disorganized thinking improved between periods. Yet, the key symptoms of delirium, inattention, and awareness were seldom documented. The professionals did not systematically document the possibility of delirium. Particularly, the way nurses recorded structural information did not facilitate an overall understanding of a patient's condition with respect to delirium. Information about delirium or proposed care was seldom documented in the discharge summaries. Advanced machine learning techniques can augment instruments that facilitate early detection, care planning, and transferring information to follow-up care.
KW - Cardiac surgery
KW - Delirium
KW - Documentation
KW - EHRs
KW - Nursing
UR - http://www.scopus.com/inward/record.url?scp=85182091176&partnerID=8YFLogxK
U2 - 10.1097/CIN.0000000000001039
DO - 10.1097/CIN.0000000000001039
M3 - Article
C2 - 37278574
SN - 1538-2931
VL - 42
SP - 27
EP - 34
JO - Computers, Informatics, Nursing
JF - Computers, Informatics, Nursing
IS - 1
ER -