Literature DB >> 27224953

Facilitated Versus Self-guided Training of Non-ophthalmologists for Grading Pre-plus and Plus Disease Using Fundus Images for Retinopathy of Prematurity Screening.

Nikolas N Raufi, Caleb K Morris, Sharon F Freedman, David K Wallace, S Grace Prakalapakorn.   

Abstract

PURPOSE: Retinopathy of prematurity (ROP) is an important cause of preventable blindness; barriers to screening necessitate novel approaches. Although trained non-ophthalmologists can accurately grade retinal images for ROP, effective training protocols are not established. This study compares the effectiveness of facilitated versus self-guided training of non-ophthalmologists for grading retinal images for pre-plus or plus disease in ROP.
METHODS: Forty-eight undergraduate and graduate students were trained to grade retinal images for the presence of pre-plus or plus disease. Students were randomly assigned to one of two training protocols. Both used identical electronic slideshows: one was guided by an in-person facilitator and the other was self-guided. After completing their respective training, students proficient in grading pre-plus and plus disease graded images in a telemedicine screening scenario. Accuracy of grading was compared to the reference standard of clinical examination.
RESULTS: Eighty-three percent (40 of 48) of trained students (91% in the facilitated vs 77% in the self-guided group, P = .26) were proficient and qualified to grade the ROP telemedicine screening scenario. Median accuracy for grading normal, pre-plus, or plus disease was 69% (70% in the facilitated vs 68% in the self-guided group, P = .91). When considering the designation of pre-plus or plus disease by graders as a screening test for detecting plus disease (confirmed on clinical examination), the median sensitivity and specificity of all students were 95% and 64%, respectively.
CONCLUSIONS: Both facilitated and self-guided teaching protocols yielded similar performance in ROP image grading for pre-plus or plus disease. Self-guided training protocols may be adequate to train non-ophthalmologists to grade retinal images for pre-plus and plus disease with high sensitivity. [J Pediatr Ophthalmol Strabismus. 2016;53(3):179-185.]. Copyright 2016, SLACK Incorporated.

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Mesh:

Year:  2016        PMID: 27224953      PMCID: PMC4963259          DOI: 10.3928/01913913-20160314-01

Source DB:  PubMed          Journal:  J Pediatr Ophthalmol Strabismus        ISSN: 0191-3913            Impact factor:   1.402


  22 in total

Review 1.  The International Classification of Retinopathy of Prematurity revisited.

Authors: 
Journal:  Arch Ophthalmol       Date:  2005-07

2.  Childhood blindness.

Authors:  P G Steinkuller; L Du; C Gilbert; A Foster; M L Collins; D K Coats
Journal:  J AAPOS       Date:  1999-02       Impact factor: 1.220

3.  Telemedicine approach to screening for severe retinopathy of prematurity: a pilot study.

Authors:  Anna L Ells; Jonathan M Holmes; William F Astle; Geoff Williams; David A Leske; Michael Fielden; Brad Uphill; Penny Jennett; Marilynne Hebert
Journal:  Ophthalmology       Date:  2003-11       Impact factor: 12.079

4.  Telemedical diagnosis of retinopathy of prematurity: accuracy of expert versus non-expert graders.

Authors:  Steven L Williams; Lu Wang; Steven A Kane; Thomas C Lee; David J Weissgold; Audina M Berrocal; Daniel Rabinowitz; Justin Starren; John T Flynn; Michael F Chiang
Journal:  Br J Ophthalmol       Date:  2009-12-02       Impact factor: 4.638

5.  Stanford University Network for Diagnosis of Retinopathy of Prematurity (SUNDROP): four-years of screening with telemedicine.

Authors:  Natalia Fijalkowski; Luo Luo Zheng; Michael T Henderson; Matthew B Wallenstein; Theodore Leng; Darius M Moshfeghi
Journal:  Curr Eye Res       Date:  2013-01-18       Impact factor: 2.424

6.  Retinal imaging in premature infants using the Pictor noncontact digital camera.

Authors:  Sasapin G Prakalapakorn; David K Wallace; Sharon F Freedman
Journal:  J AAPOS       Date:  2014-08       Impact factor: 1.220

7.  Retinopathy of prematurity care: patterns of care and workforce analysis.

Authors:  Alex R Kemper; Sharon F Freedman; David K Wallace
Journal:  J AAPOS       Date:  2008-04-25       Impact factor: 1.220

8.  Validity of a telemedicine system for the evaluation of acute-phase retinopathy of prematurity.

Authors:  Graham E Quinn; Gui-shuang Ying; Ebenezer Daniel; P Lloyd Hildebrand; Anna Ells; Agnieshka Baumritter; Alex R Kemper; Eleanor B Schron; Kelly Wade
Journal:  JAMA Ophthalmol       Date:  2014-10       Impact factor: 7.389

9.  Learning styles of students and faculty in selected health care professions.

Authors:  A Z Linares
Journal:  J Nurs Educ       Date:  1999-12       Impact factor: 1.726

10.  The predictive value of posterior pole vessels in retinopathy of prematurity.

Authors:  R A Saunders; E C Bluestein; R B Sinatra; M E Wilson; J W O'Neil; P F Rust
Journal:  J Pediatr Ophthalmol Strabismus       Date:  1995 Mar-Apr       Impact factor: 1.402

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  1 in total

1.  Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.

Authors:  Tatiana R Rosenblatt; Marco H Ji; Daniel Vail; Cassie A Ludwig; Ahmad Al-Moujahed; Malini Veerappan Pasricha; Natalia F Callaway; Jochen Kumm; Darius M Moshfeghi
Journal:  Sci Rep       Date:  2021-03-08       Impact factor: 4.379

  1 in total

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