Literature DB >> 25608220

Lack of documentation of evidence-based prognostication in cancer patients by inpatient palliative care consultants.

Andrew R Bruggeman1, Sean F Heavey, Joseph D Ma, Carolyn Revta, Eric J Roeland.   

Abstract

BACKGROUND: Prognostication plays a key role in palliative care (PC). It is critical for advance care planning, determining hospice eligibility, and communication. In contrast to subjective clinical prognostication, evidence-based prognostication (EBP) uses existing validated data to quantify prognosis; however, the extent to which PC providers use EBP is limited.
OBJECTIVE: The objective was to analyze documentation of EBP by PC providers in the absence of an inpatient consultation note template at a single academic medical center.
METHODS: We retrospectively evaluated prognostic documentation of inpatient PC consultations on oncology patients at a single academic hospital. Ratings of Eastern Cooperative Oncology Group (ECOG) Scale, Karnofsky Performance Scale (KPS), Palliative Performance Scale, and/or activities of daily living (ADLs) were considered documentation of functional status. PC-specific documentation of EBP included the Palliative Prognostic Index and/or Palliative Prognostic Score.
RESULTS: There were 412 inpatient PC consultations for oncology patients (2012-2013). Reasons for consultation included goals of care (n=108), symptom management (n=181), or both (n=123). In the absence of a note template, functional status was documented in 6% (n=24) of consultation notes, while no consultation notes contained EBP documentation of the Palliative Prognostic Index and Palliative Prognostic Score.
CONCLUSION: This retrospective analysis conducted at a single academic medical center suggests poor documentation by PC providers of EBP in the absence of a consultation note template. Research and educational opportunities exist to evaluate barriers to EBP utilization and documentation by PC providers.

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Year:  2015        PMID: 25608220     DOI: 10.1089/jpm.2014.0331

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  2 in total

1.  Impact of Augmented Intelligence on Utilization of Palliative Care Services in a Real-World Oncology Setting.

Authors:  Ajeet Gajra; Marjorie E Zettler; Kelly A Miller; John G Frownfelter; John Showalter; Amy W Valley; Sanya Sharma; Shreenath Sridharan; Jonathan K Kish; Sibel Blau
Journal:  JCO Oncol Pract       Date:  2021-09-10

2.  Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

Authors:  Nicole Agaronnik; Charlotta Lindvall; Areej El-Jawahri; Wei He; Lisa Iezzoni
Journal:  JAMA Oncol       Date:  2020-10-01       Impact factor: 31.777

  2 in total

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