Literature DB >> 30923884

Survey of peer review programs among pediatric radiologists: report from the SPR Quality and Safety Committee.

Ramesh S Iyer1, David W Swenson2, Neil Anand3, Einat Blumfield4, Tushar Chandra5, Govind B Chavhan6, Thomas R Goodman7, Naeem Khan8, Michael M Moore9, Thang D Ngo5, Christina L Sammet10, Raymond W Sze11, Chido D Vera12, A Luana Stanescu13.   

Abstract

During the last 15 years, peer review has been widely incorporated into radiology quality improvement programs. However, current implementations are variable and carry concerns, including subjectivity of numerical scores and a sense of merely satisfying regulatory requirements. The Society for Pediatric Radiology (SPR) Quality and Safety Committee sought to evaluate the state of peer review programs in pediatric radiology practices, including implementation methods, perceived functions, strengths and weaknesses, and opportunities for improvement. We distributed an online 16-question survey to SPR members. Questions pertained to the type of peer review system, the use of numerical scores and comments, how feedback on discordances is given and received, and the use of peer learning conferences. We collected 219 responses (15% of survey invitations), 80% of which were from children's hospitals. Fifty percent of respondents said they use a picture archiving and communication system (PACS)-integrated peer review system. Comment-enhanced feedback for interpretive discordances was either very important or somewhat important to performance improvement in 86% of responses, compared to 48% with a similar perception of numerical scores. Sixty-eight percent of respondents said they either rarely or never check their numerical scores, and 82% either strongly or somewhat agreed that comments are more effective feedback than numerical scores. Ninety-three percent either strongly or somewhat agreed that peer learning conferences would be beneficial to their practice. Forty-eight percent thought that their current peer review system should be modified. Survey results demonstrate that peer review systems in pediatric radiology practices are implemented variably, and nearly half of respondents believe their systems should be modified. Most respondents prefer feedback in the form of comments and peer learning conferences, which are thought to be more beneficial for performance improvement than numerical scores.

Entities:  

Keywords:  Comments; Pediatric radiology; Peer learning; Peer review; Quality; Survey

Mesh:

Year:  2019        PMID: 30923884     DOI: 10.1007/s00247-018-4289-3

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  25 in total

1.  Integration of radiologist peer review into clinical review workstation.

Authors:  K W McEnery; C T Suitor; S Hildebrand; R L Downs
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

2.  Optimizing peer review: A year of experience after instituting a real-time comment-enhanced program at a children's hospital.

Authors:  Jonathan O Swanson; Mahesh M Thapa; Ramesh S Iyer; Randolph K Otto; Edward Weinberger
Journal:  AJR Am J Roentgenol       Date:  2012-05       Impact factor: 3.959

3.  Performance-based assessment of radiology faculty: a practical plan to promote improvement and meet JCAHO standards.

Authors:  Lane F Donnelly; Janet L Strife
Journal:  AJR Am J Roentgenol       Date:  2005-05       Impact factor: 3.959

Review 4.  RADPEER scoring white paper.

Authors:  Valerie P Jackson; Trudie Cushing; Hani H Abujudeh; James P Borgstede; Kenneth W Chin; Charles K Grimes; David B Larson; Paul A Larson; Robert S Pyatt; William T Thorwarth
Journal:  J Am Coll Radiol       Date:  2009-01       Impact factor: 5.532

Review 5.  Peer review in diagnostic radiology: current state and a vision for the future.

Authors:  Shmuel Mahgerefteh; Jonathan B Kruskal; Chun S Yam; Arye Blachar; Jacob Sosna
Journal:  Radiographics       Date:  2009-06-29       Impact factor: 5.333

6.  Rethinking peer review: what aviation can teach radiology about performance improvement.

Authors:  David B Larson; John J Nance
Journal:  Radiology       Date:  2011-06       Impact factor: 11.105

Review 7.  ACR RADPEER Committee White Paper with 2016 Updates: Revised Scoring System, New Classifications, Self-Review, and Subspecialized Reports.

Authors:  Shlomit Goldberg-Stein; L Alexandre Frigini; Scott Long; Zeyad Metwalli; Xuan V Nguyen; Mark Parker; Hani Abujudeh
Journal:  J Am Coll Radiol       Date:  2017-05-24       Impact factor: 5.532

8.  RADPEER peer review: relevance, use, concerns, challenges, and direction forward.

Authors:  Hani Abujudeh; Robert S Pyatt; Michael A Bruno; Alison L Chetlen; David Buck; Susan K Hobbs; Christopher Roth; Charles Truwit; Rajan Agarwal; Scott T O Kennedy; Lucille Glenn
Journal:  J Am Coll Radiol       Date:  2014-05-16       Impact factor: 5.532

9.  The 2017 ACR Commission on Human Resources Workforce Survey.

Authors:  Edward I Bluth; Swati Bansal; Claire E Bender
Journal:  J Am Coll Radiol       Date:  2017-07-29       Impact factor: 5.532

10.  Patient, faculty, and self-assessment of radiology resident performance: a 360-degree method of measuring professionalism and interpersonal/communication skills.

Authors:  Jonathan Wood; Jannette Collins; Elizabeth S Burnside; Mark A Albanese; Pamela A Propeck; Frederick Kelcz; Jeannette M Spilde; Lisa M Schmaltz
Journal:  Acad Radiol       Date:  2004-08       Impact factor: 3.173

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