Evidence map›Paper›PMID 38710861›Full record

ArticleJournal of general internal medicine2024

Classification of Documented Goals of Care Among Hospitalized Patients with High Mortality Risk: a Mixed-Methods Feasibility Study.

Catherine L Auriemma, Anne Song, Lake Walsh, Jason J Han, Sophia R Yapalater, Alexander Bain, Lindsay Haines, Stefania Scott, Casey Whitman, Stephanie P Taylor and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Leveraging the electronic health record to identify delivery of goal-concordant care.medRxiv : the preprint server for health sciences · 2024
    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

12 authors.

Catherine L AuriemmaPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA. Catherine.auriemma@pennmedicine.upenn.edu.ORCID 0000-0003-4803-0375
Anne SongPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.
Lake WalshDivision of Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Jason J HanDepartment of Surgery, University of Pennsylvania, Philadelphia, PA, USA.
Sophia R YapalaterDepartment of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Alexander BainDivision of Pulmonary and Critical Care, New York University-Langone, New York, NY, USA.
Lindsay HainesDepartment of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Stefania ScottPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.
Casey WhitmanPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.
Stephanie P TaylorDivision of Hospital Medicine, University of Michigan, Ann Arbor, MI, USA.
Scott D HalpernPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.
Katherine R CourtrightPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
Improving the fairness of RCTs among patients with acute and chronic respiratory failureK24HL143289 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2018 to 2026
$1.1M
Developing and Evaluating Quality-Weighted Hospital-Free Days as a Novel, Patient-Centered Outcome for Trials of Patients with Acute Respiratory FailureK23HL163402 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Catherine Louise Auriemma · 2022 to 2026
$1.0M
Identifying palliative care needs among hospitalized patients with chronic obstructive pulmonary diseaseK23HL143181 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI COURTRIGHT, KATHERINE RINALDI · 2018 to 2022
$809k
NHLBI Division of Intramural Research K23-HL143181NHLBI Division of Intramural Research K23-HL163402NHLBI Division of Intramural Research K24-HL143289NHLBI NIH HHS K23 HL163402NHLBI NIH HHS K24 HL143289NHLBI NIH HHS T32 HL098054
6 · The paper itself

Abstract

backgroundThe ability to classify patients' goals of care (GOC) from clinical documentation would facilitate serious illness communication quality improvement efforts and pragmatic measurement of goal-concordant care. Feasibility of this approach remains unknown.

objectiveTo evaluate the feasibility of classifying patients' GOC from clinical documentation in the electronic health record (EHR), describe the frequency and patterns of changes in patients' goals over time, and identify barriers to reliable goal classification.

designRetrospective, mixed-methods chart review study.

participantsAdults with high (50-74%) and very high (≥ 75%) 6-month mortality risk admitted to three urban hospitals. MAIN MEASURES: Two physician coders independently reviewed EHR notes from 6 months before through 6 months after admission to identify documented GOC discussions and classify GOC. GOC were classified into one of four prespecified categories: (1) comfort-focused, (2) maintain or improve function, (3) life extension, or (4) unclear. Coder interrater reliability was assessed using kappa statistics. Barriers to classifying GOC were assessed using qualitative content analysis. KEY

resultsAmong 85 of 109 (78%) patients, 338 GOC discussions were documented. Inter-rater reliability was substantial (75% interrater agreement; Cohen's kappa = 0.67; 95% CI, 0.60-0.73). Patients' initial documented goal was most frequently "life extension" (N = 37, 44%), followed by "maintain or improve function" (N = 28, 33%), "unclear" (N = 17, 20%), and "comfort-focused" (N = 3, 4%). Among the 66 patients whose goals' classification changed over time, most changed to "comfort-focused" goals (N = 49, 74%). Primary reasons for unclear goals were the observation of concurrently held or conditional goals, patient and family uncertainty, and limited documentation.

conclusionsClinical notes in the EHR can be used to reliably classify patients' GOC into discrete, clinically germane categories. This work motivates future research to use natural language models to promote scalability of the approach in clinical care and serious illness research.

Indexed as

Electronic Health RecordsFeasibility StudiesPatient Care PlanningAdultAgedAged, 80 and overDocumentationFemaleHospitalizationHospital MortalityHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID38710861
PMCPMC11282019

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Registered trials

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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.