Literature DB >> 34767481

Impact of Behavioral Nudges on the Quality of Serious Illness Conversations Among Patients With Cancer: Secondary Analysis of a Randomized Controlled Trial.

Eric H Li1, William Ferrell1, Tamar Klaiman1, Pallavi Kumar1, Nina O'Connor1, Lynn M Schuchter1,2, Jinbo Chen1, Mitesh S Patel1,2,3,4,5, Christopher R Manz6,7, Ravi B Parikh1,2,3.   

Abstract

PURPOSE: Serious Illness Conversations (SICs) are structured conversations between clinicians and patients about prognosis, treatment goals, and end-of-life preferences. Although behavioral interventions may prompt earlier or more frequent SICs, their impact on the quality of SICs is unclear.
METHODS: This was a secondary analysis of a randomized clinical trial (NCT03984773) among 78 clinicians and 14,607 patients with cancer testing the impact of an automated mortality prediction with behavioral nudges to clinicians to prompt more SICs. We analyzed 318 randomly selected SICs matched 1:1 by clinicians (159 control and 159 intervention) to compare the quality of intervention vs. control conversations using a validated codebook. Comprehensiveness of SIC documentation was used as a measure of quality, with higher integer numbers of documented conversation domains corresponding to higher quality conversations. A conversation was classified as high-quality if its score was ≥ 8 of a maximum of 10. Using a noninferiority design, mixed effects regression models with clinician-level random effects were used to assess SIC quality in intervention vs. control groups, concluding noninferiority if the adjusted odds ratio (aOR) was not significantly < 0.9.
RESULTS: Baseline characteristics of the control and intervention groups were similar. Intervention SICs were noninferior to control conversations (aOR 0.99; 95% CI, 0.91 to 1.09). The intervention increased the likelihood of addressing patient-clinician relationship (aOR = 1.99; 95% CI, 1.23 to 3.27; P < .01) and decreased the likelihood of addressing family involvement (aOR = 0.56; 95% CI, 0.34 to 0.90; P < .05).
CONCLUSION: A behavioral intervention that increased SIC frequency did not decrease their quality. Behavioral prompts may increase SIC frequency without sacrificing quality.

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Mesh:

Year:  2021        PMID: 34767481      PMCID: PMC9014420          DOI: 10.1200/OP.21.00024

Source DB:  PubMed          Journal:  JCO Oncol Pract        ISSN: 2688-1527


  42 in total

1.  Integrating Predictive Analytics Into High-Value Care: The Dawn of Precision Delivery.

Authors:  Ravi B Parikh; Meetali Kakad; David W Bates
Journal:  JAMA       Date:  2016-02-16       Impact factor: 56.272

2.  Advance directives and outcomes of surrogate decision making before death.

Authors:  Maria J Silveira; Scott Y H Kim; Kenneth M Langa
Journal:  N Engl J Med       Date:  2010-04-01       Impact factor: 91.245

3.  Validation of quality indicators for end-of-life communication: results of a multicentre survey.

Authors:  Daren K Heyland; Peter Dodek; John J You; Tasnim Sinuff; Tim Hiebert; Carolyn Tayler; Xuran Jiang; Jessica Simon; James Downar
Journal:  CMAJ       Date:  2017-07-31       Impact factor: 8.262

4.  Failure to engage hospitalized elderly patients and their families in advance care planning.

Authors:  Daren K Heyland; Doris Barwich; Deb Pichora; Peter Dodek; Francois Lamontagne; John J You; Carolyn Tayler; Pat Porterfield; Tasnim Sinuff; Jessica Simon
Journal:  JAMA Intern Med       Date:  2013-05-13       Impact factor: 21.873

5.  The prevalence of psychological distress by cancer site.

Authors:  J Zabora; K BrintzenhofeSzoc; B Curbow; C Hooker; S Piantadosi
Journal:  Psychooncology       Date:  2001 Jan-Feb       Impact factor: 3.894

6.  Randomized controlled trial of a prompt list to help advanced cancer patients and their caregivers to ask questions about prognosis and end-of-life care.

Authors:  Josephine M Clayton; Phyllis N Butow; Martin H N Tattersall; Rhonda J Devine; Judy M Simpson; Ghauri Aggarwal; Katherine J Clark; David C Currow; Louise M Elliott; Judith Lacey; Philip G Lee; Michael A Noel
Journal:  J Clin Oncol       Date:  2007-02-20       Impact factor: 44.544

Review 7.  Shared decision making: examining key elements and barriers to adoption into routine clinical practice.

Authors:  France Légaré; Holly O Witteman
Journal:  Health Aff (Millwood)       Date:  2013-02       Impact factor: 6.301

8.  The impact of advance care planning on end of life care in elderly patients: randomised controlled trial.

Authors:  Karen M Detering; Andrew D Hancock; Michael C Reade; William Silvester
Journal:  BMJ       Date:  2010-03-23

9.  Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Authors:  Stephen F Weng; Jenna Reps; Joe Kai; Jonathan M Garibaldi; Nadeem Qureshi
Journal:  PLoS One       Date:  2017-04-04       Impact factor: 3.240

10.  Clinical Performance Feedback Intervention Theory (CP-FIT): a new theory for designing, implementing, and evaluating feedback in health care based on a systematic review and meta-synthesis of qualitative research.

Authors:  Benjamin Brown; Wouter T Gude; Thomas Blakeman; Sabine N van der Veer; Noah Ivers; Jill J Francis; Fabiana Lorencatto; Justin Presseau; Niels Peek; Gavin Daker-White
Journal:  Implement Sci       Date:  2019-04-26       Impact factor: 7.327

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