Literature DB >> 25711431

Infomarkers for transition to goals consistent with palliative care in dying patients.

Yingwei Yao1, Janet Stifter2, Miriam O Ezenwa1, Muhammad Lodhi3, Ashfaq Khokhar4, Rashid Ansari4, Gail M Keenan2, Diana J Wilkie1.   

Abstract

OBJECTIVE: Electronic health records (EHRs) may contain infomarkers that identify patients near the end of life for whom it would be appropriate to shift care goals to palliative care. Discovery and use of such infomarkers could be used to conduct effectiveness research that ultimately could help to reduce the monumental cost of caring for the dying. The aim of our study was to identify changes in the plans of care that represent infomarkers, which signal a transition of care goals from nonpalliative care ones to those consistent with palliative care.
METHOD: Using an existing electronic health record database generated during a two-year longitudinal study of nine diverse medical-surgical units from four Midwest hospitals and a known group approach, we evaluated patient care episodes for 901 patients who died (mean age = 74.5 ± 14.6 years). We used ANOVA and Tukey's post-hoc tests to compare patient groups.
RESULTS: We identified 11 diagnoses, including Death Anxiety and Anticipatory Grieving, whose addition to the care plan, some of which also occurred with removal of nonpalliative care diagnoses, represent infomarkers of transition to palliative care goals. There were four categories of patients, those who had: no infomarkers on plans (n = 507), infomarkers added on the admission plan (n = 194), infomarkers added on a post-admission plan (minor transitions, n = 109), and infomarkers added and nonpalliative care diagnoses removed on a post-admission plan (major transition, n = 91). Age, length of stay, and pain outcomes differed significantly for these four categories of patients. SIGNIFICANCE OF
RESULTS: EHRs contain pertinent infomarkers that if confirmed in future studies could be used for timely referral to palliative care for improved focus on comfort outcomes and to identify palliative care subjects from data repositories in order to conduct big-data research, comparative effectiveness studies, and health-services research.

Entities:  

Keywords:  Electronic health records; Infomarker; Information marker; Nursing; Palliative care

Mesh:

Year:  2015        PMID: 25711431      PMCID: PMC4685252          DOI: 10.1017/S1478951515000103

Source DB:  PubMed          Journal:  Palliat Support Care        ISSN: 1478-9515


  7 in total

1.  A high-volume specialist palliative care unit and team may reduce in-hospital end-of-life care costs.

Authors:  Thomas J Smith; Patrick Coyne; Brian Cassel; Lynne Penberthy; Alison Hopson; Mary Ann Hager
Journal:  J Palliat Med       Date:  2003-10       Impact factor: 2.947

2.  Factors associated with futile end-of-life intensive care in a cancer hospital.

Authors:  Vasco Moscovici da Cruz; Lucimara Camalionte; Pedro Caruso
Journal:  Am J Hosp Palliat Care       Date:  2014-01-07       Impact factor: 2.500

3.  Development and validation of a prognostic nomogram for terminally ill cancer patients.

Authors:  Jaime Feliu; Ana María Jiménez-Gordo; Rosario Madero; José Ramón Rodríguez-Aizcorbe; Enrique Espinosa; Javier Castro; Jesús Domingo Acedo; Beatriz Martínez; Alberto Alonso-Babarro; Raquel Molina; Juan Carlos Cámara; María Luisa García-Paredes; Manuel González-Barón
Journal:  J Natl Cancer Inst       Date:  2011-10-04       Impact factor: 13.506

4.  End-of-life discussions, goal attainment, and distress at the end of life: predictors and outcomes of receipt of care consistent with preferences.

Authors:  Jennifer W Mack; Jane C Weeks; Alexi A Wright; Susan D Block; Holly G Prigerson
Journal:  J Clin Oncol       Date:  2010-02-01       Impact factor: 44.544

5.  Health care costs in the last week of life: associations with end-of-life conversations.

Authors:  Baohui Zhang; Alexi A Wright; Haiden A Huskamp; Matthew E Nilsson; Matthew L Maciejewski; Craig C Earle; Susan D Block; Paul K Maciejewski; Holly G Prigerson
Journal:  Arch Intern Med       Date:  2009-03-09

6.  Maintaining a consistent big picture: meaningful use of a Web-based POC EHR system.

Authors:  Gail M Keenan; Elizabeth Yakel; Yingwei Yao; Dianhui Xu; Laura Szalacha; Dana Tschannen; Yvonne Ford; Yu-Chung Chen; Andrew Johnson; Karen Dunn Lopez; Diana J Wilkie
Journal:  Int J Nurs Knowl       Date:  2012-06-20       Impact factor: 1.222

7.  Montreal prognostic score: estimating survival of patients with non-small cell lung cancer using clinical biomarkers.

Authors:  B Gagnon; J S Agulnik; I Gioulbasanis; G Kasymjanova; D Morris; N MacDonald
Journal:  Br J Cancer       Date:  2013-09-24       Impact factor: 7.640

  7 in total
  7 in total

1.  Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review.

Authors:  Tamara G R Macieira; Tania C M Chianca; Madison B Smith; Yingwei Yao; Jiang Bian; Diana J Wilkie; Karen Dunn Lopez; Gail M Keenan
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

2.  Evidence of Progress in Making Nursing Practice Visible Using Standardized Nursing Data: a Systematic Review.

Authors:  Tamara G R Macieira; Madison B Smith; Nicolle Davis; Yingwei Yao; Diana J Wilkie; Karen Dunn Lopez; Gail Keenan
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture.

Authors:  Gail M Keenan; Karen Dunn Lopez; Vanessa E C Sousa; Janet Stifter; Tamara G R Macieira; Andrew D Boyd; Yingwei Yao; T Heather Herdman; Sue Moorhead; Anna McDaniel; Diana J Wilkie
Journal:  Int J Nurs Knowl       Date:  2017-01-16       Impact factor: 1.222

4.  Outcomes for End-of-Life Patients with Anticipatory Grieving: Insights from Practice with Standardized Nursing Terminologies within an Interoperable Internet-based Electronic Health Record.

Authors:  Julie Johnson; Muhammad Kamran Lodhi; Umer Cheema; Janet Stifter; Karen Dunn-Lopez; Yingwei Yao; Andrew Johnson; Gail M Keenan; Rashid Ansari; Ashfaq Khokhar; Diana J Wilkie
Journal:  J Hosp Palliat Nurs       Date:  2017-06       Impact factor: 1.918

5.  HPNA 2019-2022 Research Agenda: Development and Rationale.

Authors:  Rafael D Romo; Joan G Carpenter; Harleah Buck; Lisa C Lindley; Jiayun Xu; John A Owen; Suzanne S Sullivan; Marie Bakitas; J Nicholas Dionne-Odom; Lisa Zubkoff; Marianne Matzo
Journal:  J Hosp Palliat Nurs       Date:  2019-08       Impact factor: 1.918

6.  Framework for Mining and Analysis of Standardized Nursing Care Plan Data.

Authors:  Ashfaq Khokhar; Muhammad Kamran Lodhi; Yingwei Yao; Rashid Ansari; Gail Keenan; Diana J Wilkie
Journal:  West J Nurs Res       Date:  2016-10-22       Impact factor: 1.967

7.  A systematic review of the use of the electronic health record for patient identification, communication, and clinical support in palliative care.

Authors:  Ruth A Bush; Alexa Pérez; Tanja Baum; Caroline Etland; Cynthia D Connelly
Journal:  JAMIA Open       Date:  2018-07-06
  7 in total

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