Literature DB >> 24195197

An intervention model that promotes accountability: peer messengers and patient/family complaints.

James W Pichert1, Ilene N Moore, Jan Karrass, Jeffrey S Jay, Margaret W Westlake, Thomas F Catron, Gerald B Hickson.   

Abstract

BACKGROUND: Patients and their families are well positioned to partner with health care organizations to help identify unsafe and dissatisfying behaviors and performance. A peer messenger process was designed by the Center for Professional and Patient Advocacy at Vanderbilt University Medical Center (Nashville, Tennessee) to address "high-risk" physicians identified through analysis of unsolicited patient complaints, a proxy for risk of lawsuits.
METHODS: This retrospective, descriptive study used peer messenger debriefing results from data-driven interventions at 16 geographically disparate community (n = 7) and academic (n = 9) medical centers in the United States. Some 178 physicians served as peer messengers, conducting interventions from 2005, through 2009 on 373 physicians identified as high risk.
RESULTS: Most (97%) of the high-risk physicians received the feedback professionally, and 64% were "Responders." Responders' risk scores improved at least 15%, where Nonresponders' scores worsened (17%) or remained unchanged (19%) (p < or = .001). Responders were more often physicians practicing in medicine and surgery than emergency medicine physicians, had longer organizational tenures, and engaged in lengthier first-time intervention meetings with messengers. Years to achieve responder status correlated positively with initial communication-related complaints (r = .32, p < .001), but all complaint categories were equally likely to change over time.
CONCLUSIONS: Peer messengers, recognized by leaders and appropriately supported with ongoing training, high-quality data, and evidence of positive outcomes, are willing to intervene with colleagues over an extended period of time. The physician peer messenger process reduces patient complaints and is adaptable to addressing unnecessary variation in other quality/safety metrics.

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Year:  2013        PMID: 24195197     DOI: 10.1016/s1553-7250(13)39057-6

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN: 1553-7250


  10 in total

1.  Learning From Patients' Experiences Related To Diagnostic Errors Is Essential For Progress In Patient Safety.

Authors:  Traber Davis Giardina; Helen Haskell; Shailaja Menon; Julia Hallisy; Frederick S Southwick; Urmimala Sarkar; Kathryn E Royse; Hardeep Singh
Journal:  Health Aff (Millwood)       Date:  2018-11       Impact factor: 6.301

2.  Use of Unsolicited Patient Observations to Identify Surgeons With Increased Risk for Postoperative Complications.

Authors:  William O Cooper; Oscar Guillamondegui; O Joe Hines; C Scott Hultman; Rachel R Kelz; Perry Shen; David A Spain; John F Sweeney; Ilene N Moore; Joseph Hopkins; Ira R Horowitz; Russell M Howerton; J Wayne Meredith; Nathan O Spell; Patricia Sullivan; Henry J Domenico; James W Pichert; Thomas F Catron; Lynn E Webb; Roger R Dmochowski; Jan Karrass; Gerald B Hickson
Journal:  JAMA Surg       Date:  2017-06-01       Impact factor: 14.766

Review 3.  The Behavioral and Social Sciences: Contributions and Opportunities in Academic Medicine.

Authors:  Patrick O Smith; R Kevin Grigsby
Journal:  J Clin Psychol Med Settings       Date:  2017-06

4.  Association of Coworker Reports About Unprofessional Behavior by Surgeons With Surgical Complications in Their Patients.

Authors:  William O Cooper; David A Spain; Oscar Guillamondegui; Rachel R Kelz; Henry J Domenico; Joseph Hopkins; Patricia Sullivan; Ilene N Moore; James W Pichert; Thomas F Catron; Lynn E Webb; Roger R Dmochowski; Gerald B Hickson
Journal:  JAMA Surg       Date:  2019-09-01       Impact factor: 14.766

Review 5.  Key strategies to improve systems for managing patient complaints within health facilities - what can we learn from the existing literature?

Authors:  Tolib Mirzoev; Sumit Kane
Journal:  Glob Health Action       Date:  2018       Impact factor: 2.640

6.  What was visualized? A method for describing content of performance summary displays in feedback interventions.

Authors:  Dahee Lee; Veena Panicker; Colin Gross; Jessica Zhang; Zach Landis-Lewis
Journal:  BMC Med Res Methodol       Date:  2020-04-23       Impact factor: 4.615

7.  Association Between Ophthalmologist Age and Unsolicited Patient Complaints.

Authors:  Cherie A Fathy; James W Pichert; Henry Domenico; Sahar Kohanim; Paul Sternberg; William O Cooper
Journal:  JAMA Ophthalmol       Date:  2018-01-01       Impact factor: 7.389

Review 8.  Using Patient-Reported Information to Improve Clinical Practice.

Authors:  Mark Schlesinger; Rachel Grob; Dale Shaller
Journal:  Health Serv Res       Date:  2015-11-17       Impact factor: 3.402

9.  Exploring unnecessary invasive procedures in the United States: a retrospective mixed-methods analysis of cases from 2008-2016.

Authors:  James M DuBois; John T Chibnall; Emily E Anderson; Heidi A Walsh; Michelle Eggers; Kari Baldwin; Kelly K Dineen
Journal:  Patient Saf Surg       Date:  2017-12-18

10.  Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers.

Authors:  Adel Elmessiry; William O Cooper; Thomas F Catron; Jan Karrass; Zhe Zhang; Munindar P Singh
Journal:  JMIR Med Inform       Date:  2017-07-31
  10 in total

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