Literature DB >> 35373084

Implementation of Surprise Question Assessments using the Electronic Health Record in Older Adults with Advanced CKD.

Natalie C Ernecoff1, Khaled Abdel-Kader2, Manqi Cai3, Jonathan Yabes3, Nirav Shah4, Jane O Schell1,4, Manisha Jhamb4.   

Abstract

Background: The Surprise Question (SQ; "Would you be surprised if this patient died in the next 12 months?") is a validated prognostication tool for mortality and hospitalization among patients with advanced CKD. Barriers in clinical workflows have slowed SQ implementation in practice.
Objectives: The aims of this study were: (1) to evaluate implementation outcomes after the use of electronic health record (EHR) decision support to automate the collection of the SQ; and (2) to assess the prognostic utility of the SQ for mortality and hospitalization/emergency room (ER) visits.
Methods: We developed and implemented a best practice alert (BPA) in the EHR to identify nephrology outpatients ≥60 years of age with an eGFR <30 ml/min per 1.73 m2. At appointment, the BPA prompted the physician to answer the SQ. We assessed the rate and timeliness of provider responses. We conducted a post-hoc open-ended survey to assess physician perceptions of SQ implementation. We assessed the SQ's prognostic utility in survival and time-to-hospital encounter (hospitalization/ER visit) analyses.
Results: Among 510 patients for whom the BPA triggered, 95 (19%) had the SQ completed by 16 physicians. Among those completed, nearly all (98%) were on appointment day, and 61 (64%) the first time the BPA fired. Providers answered "no" for 27 (28%) and "yes" for 68 (72%) patients. By 12 months, six (22%) "no" patients died; three (4%) "yes" patients died (hazard ratio [HR] 2.86, ref: yes, 95% CI, 1.06 to 7.69). About 35% of "no" patients and 32% of "yes" patients had a hospital encounter by 12 months (HR, 1.85, ref: yes, 95% CI, 0.93 to 3.69). Physicians noted (1) they had goals-of-care conversations unprompted; (2) EHR-based interventions alone for goals-of-care are ineffective; and (3) more robust engagement is necessary. Conclusions: We successfully integrated the SQ into the EHR to aid in clinical practice. Additional implementation efforts are needed to encourage further integration of the SQ in clinical practice.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  advance care planning; chronic kidney disease; electronic health records; geriatric and palliative nephrology; health services research; palliative care

Mesh:

Year:  2021        PMID: 35373084      PMCID: PMC8791363          DOI: 10.34067/KID.0007062020

Source DB:  PubMed          Journal:  Kidney360        ISSN: 2641-7650


  27 in total

1.  Overriding concerns: the role of electronic medical record-based best practice alerts in reducing unnecessary laboratory testing.

Authors:  David M Lofthus; Jay Y Gadgil; James A de Lemos
Journal:  Clin Chem       Date:  2015-01-16       Impact factor: 8.327

2.  The Surprise Question Can Be Used to Identify Heart Failure Patients in the Emergency Department Who Would Benefit From Palliative Care.

Authors:  Emily L Aaronson; Naomi George; Kei Ouchi; Hui Zheng; Jason Bowman; Derek Monette; Juliet Jacobsen; Vicki Jackson
Journal:  J Pain Symptom Manage       Date:  2019-02-16       Impact factor: 3.612

3.  Nephrology Provider Surprise Question Response and Hospitalizations in Older Adults with Advanced CKD.

Authors:  Sarah J Ramer; Nicolas A Baddour; Edward D Siew; Huzaifah Salat; Aihua Bian; Thomas G Stewart; Susan P Y Wong; Manisha Jhamb; Khaled Abdel-Kader
Journal:  Am J Nephrol       Date:  2020-07-28       Impact factor: 3.754

4.  Using the Surprise Question To Identify Those with Unmet Palliative Care Needs in Emergency and Inpatient Settings: What Do Clinicians Think?

Authors:  Samir A Haydar; Lisa Almeder; Lauren Michalakes; Paul K J Han; Tania D Strout
Journal:  J Palliat Med       Date:  2017-02-16       Impact factor: 2.947

5.  Utility of the "surprise" question to identify dialysis patients with high mortality.

Authors:  Alvin H Moss; Jesse Ganjoo; Sanjay Sharma; Julie Gansor; Sharon Senft; Barbara Weaner; Cheryl Dalton; Karen MacKay; Beth Pellegrino; Priya Anantharaman; Rebecca Schmidt
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-02       Impact factor: 8.237

6.  Predicting 12-month mortality for peritoneal dialysis patients using the "surprise" question.

Authors:  Wing-Fai Pang; Bonnie Ching-Ha Kwan; Kai-Ming Chow; Chi-Bon Leung; Philip Kam-Tao Li; Cheuk-Chun Szeto
Journal:  Perit Dial Int       Date:  2012-08-01       Impact factor: 1.756

7.  System-Level Barriers and Facilitators for Foregoing or Withdrawing Dialysis: A Qualitative Study of Nephrologists in the United States and England.

Authors:  Vanessa Grubbs; Delphine S Tuot; Neil R Powe; Donal O'Donoghue; Catherine A Chesla
Journal:  Am J Kidney Dis       Date:  2017-02-24       Impact factor: 8.860

8.  Thematic analysis of the medical records of patients evaluated for kidney transplant who did not receive a kidney.

Authors:  Catherine R Butler; Janelle S Taylor; Peter P Reese; Ann M O'Hare
Journal:  BMC Nephrol       Date:  2020-07-25       Impact factor: 2.388

Review 9.  How accurate is the 'Surprise Question' at identifying patients at the end of life? A systematic review and meta-analysis.

Authors:  Nicola White; Nuriye Kupeli; Victoria Vickerstaff; Patrick Stone
Journal:  BMC Med       Date:  2017-08-02       Impact factor: 8.775

10.  Comparison of rapid vs in-depth qualitative analytic methods from a process evaluation of academic detailing in the Veterans Health Administration.

Authors:  Randall C Gale; Justina Wu; Taryn Erhardt; Mark Bounthavong; Caitlin M Reardon; Laura J Damschroder; Amanda M Midboe
Journal:  Implement Sci       Date:  2019-02-01       Impact factor: 7.327

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  1 in total

Review 1.  Patient Identification for Serious Illness Conversations: A Scoping Review.

Authors:  Rebecca Baxter; Erik K Fromme; Anna Sandgren
Journal:  Int J Environ Res Public Health       Date:  2022-03-31       Impact factor: 3.390

  1 in total

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