Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. (September 2021)
- Record Type:
- Journal Article
- Title:
- Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. (September 2021)
- Main Title:
- Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings
- Authors:
- Schnock, Kumiko O.
Kang, Min-Jeoung
Rossetti, Sarah Collins
Garcia, Jose
Lowenthal, Graham
Knaplund, Chris
Chang, Frank
Albers, David
Korach, Tom Z.
Zhou, Li
Klann, Jeffrey G.
Cato, Kenrick
Bates, David W.
Dykes, Patricia C. - Abstract:
- Abstract: Objectives: Nursing documentation behavior within electronic health records may reflect a nurse's concern about a patient and can be used to predict patient deterioration. Our study objectives were to quantify variations in nursing documentation patterns, confirm those patterns and variations with clinicians, and identify which patterns indicate patient deterioration and recovery from clinical deterioration events in the critical and acute care settings. Methods: We collected patient data from electronic health records and conducted a regression analysis to identify different nursing documentation patterns associated with patient outcomes resulting from clinical deterioration events in the intensive care unit (ICU) and acute care unit (ACU). The primary outcome measures were whether patients were discharged alive from the hospital or expired during their hospital encounter. Secondary outcome measures were clinical deterioration events. Results: In the ICU, the increased documentation of heart rate, body temperature, and withheld medication administrations were significantly associated with inpatient mortality. In the ACU, the documentation of blood pressure, respiratory rate with comments, singular vital signs, and withheld medications were significantly related to inpatient mortality. In contrast, the documentation of heart rate and "as needed" medication administrations were significantly associated with patient survival to discharge in the ACU. Conclusion: WeAbstract: Objectives: Nursing documentation behavior within electronic health records may reflect a nurse's concern about a patient and can be used to predict patient deterioration. Our study objectives were to quantify variations in nursing documentation patterns, confirm those patterns and variations with clinicians, and identify which patterns indicate patient deterioration and recovery from clinical deterioration events in the critical and acute care settings. Methods: We collected patient data from electronic health records and conducted a regression analysis to identify different nursing documentation patterns associated with patient outcomes resulting from clinical deterioration events in the intensive care unit (ICU) and acute care unit (ACU). The primary outcome measures were whether patients were discharged alive from the hospital or expired during their hospital encounter. Secondary outcome measures were clinical deterioration events. Results: In the ICU, the increased documentation of heart rate, body temperature, and withheld medication administrations were significantly associated with inpatient mortality. In the ACU, the documentation of blood pressure, respiratory rate with comments, singular vital signs, and withheld medications were significantly related to inpatient mortality. In contrast, the documentation of heart rate and "as needed" medication administrations were significantly associated with patient survival to discharge in the ACU. Conclusion: We successfully identified and confirmed the clinical relevancy of the nursing documentation patterns indicative of patient deterioration and recovery from clinical deterioration events in both the ICU and ACU. … (more)
- Is Part Of:
- International journal of medical informatics. Volume 153(2021)
- Journal:
- International journal of medical informatics
- Issue:
- Volume 153(2021)
- Issue Display:
- Volume 153, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 153
- Issue:
- 2021
- Issue Sort Value:
- 2021-0153-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09
- Subjects:
- Patient safety -- Health information technology -- Quality improvement
Medical informatics -- Periodicals
Information science -- Periodicals
Computers -- Periodicals
Medical technology -- Periodicals
Medical Informatics -- Periodicals
Technology, Medical -- Periodicals
Computers
Information science
Medical informatics
Medical technology
Electronic journals
Periodicals
Electronic journals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13865056 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/13865056 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/13865056 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijmedinf.2021.104525 ↗
- Languages:
- English
- ISSNs:
- 1386-5056
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.345250
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18894.xml