Evidence map›Paper›PMID 34171662›Full record

ArticleInternational journal of medical informatics2021

Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings.

Kumiko O Schnock, Min-Jeoung Kang, Sarah Collins Rossetti, Jose Garcia, Graham Lowenthal, Chris Knaplund, Frank Chang, David Albers, Tom Z Korach, Li Zhou and 4 more

Abstract read
In one paragraph

Article in International journal of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Developing a clinical decision support framework for integrating predictive models into routine nursing practices in home health care for patients with heart failure.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Variability in Nursing Documentation Patterns across Patients' Hospital Stays.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Kumiko O SchnockDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: kschnock@bwh.harvard.edu.
Min-Jeoung KangDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Sarah Collins RossettiDepartment of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA; Columbia University, School of Nursing, New York, NY, USA.
Jose GarciaDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Graham LowenthalDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Chris KnaplundDepartment of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA.
Frank ChangMass General Brigham, Boston, MA, USA.
David AlbersDepartment of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA.
Tom Z KorachDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Li ZhouDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Jeffrey G KlannHarvard Medical School, Boston, MA, USA; Mass General Brigham, Boston, MA, USA.
Kenrick CatoColumbia University, School of Nursing, New York, NY, USA.
David W BatesDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Patricia C DykesDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Funding

Communicating Narrative Concerns Entered by RNs (CONCERN)R01NR016941 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Kenrick Dwain Cato, Sarah Collins Rossetti · 2017 to 2026
$6.7M
NINR NIH HHS R01 NR016941
6 · The paper itself

Abstract

objectivesNursing 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.

methodsWe 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.

resultsIn 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.

conclusionWe 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.

Indexed as

Critical CareIntensive Care UnitsDocumentationElectronic Health RecordsHumansVital SignsHealth information technologyPatient safetyQuality improvement

Identifiers

PMID34171662
PMCPMC8390439

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.