Literature DB >> 23763609

Autonomy versus automation: perceptions of nonmydriatic camera choice for teleretinal screening in an urban safety net clinic.

Omolola Ogunyemi1, Erin Moran, Lauren Patty Daskivich, Sheba George, Senait Teklehaimanot, Ramarao Ilapakurthi, Kevin Lopez, Keith Norris.   

Abstract

OBJECTIVE: Teleretinal screening with nonmydriatic cameras has been presented as a means of increasing the number of patients assessed for diabetic retinopathy in urban safety net clinics. It has been hypothesized that automated nonmydriatic cameras may improve screening rates by reducing the learning curve for camera use. In this article, we examine the impact of introducing automated nonmydriatic cameras to urban safety net clinics whose photographers had previously used manual cameras.
MATERIALS AND METHODS: We evaluated the impact of manual and automated digital nonmydriatic cameras on teleretinal screening using a quantitative analysis of readers' image quality ratings as well as a qualitative analysis, through in-depth interviews, of photographers' experiences.
RESULTS: With the manual camera, 68% of images were rated "adequate" or better, including 24% rated "good" and 20% rated "excellent." With the automated camera, 61% were rated "adequate" or better, including 9% rated "good" and 0% rated "excellent." Photographers expressed frustration with their inability to control image-taking settings with the automated camera, which led to unexpected delays.
CONCLUSIONS: For safety net clinics in which medical assistants are already trained to take photographs for diabetic retinopathy screening with a manual camera, the introduction of automated cameras may lead to frustration and paradoxically contribute to increased patient wait times. When photographers have achieved a high degree of aptitude with manual cameras and value the control they have over camera features, the introduction of automated cameras should be approached with caution and may require extensive training to increase user acceptability.

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Year:  2013        PMID: 23763609      PMCID: PMC3719439          DOI: 10.1089/tmj.2012.0191

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  13 in total

1.  Workflow concerns and workarounds of readers in an urban safety net teleretinal screening study.

Authors:  Allison Fish; Sheba George; Elizabeth Terrien; Alicia Eccles; Richard Baker; Omolola Ogunyemi
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Patterns of adherence to diabetes vision care guidelines: baseline findings from the Diabetic Retinopathy Awareness Program.

Authors:  E R Schoenfeld; J M Greene; S Y Wu; M C Leske
Journal:  Ophthalmology       Date:  2001-03       Impact factor: 12.079

3.  EyePACS: an adaptable telemedicine system for diabetic retinopathy screening.

Authors:  Jorge Cuadros; George Bresnick
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

4.  Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group.

Authors: 
Journal:  Ophthalmology       Date:  1991-05       Impact factor: 12.079

5.  Preventive care in diabetes mellitus. Current practice in urban health-care system.

Authors:  T H Payne; B A Gabella; S L Michael; W F Young; J Pickard; F D Hofeldt; F Fan; J S Stromberg; R F Hamman
Journal:  Diabetes Care       Date:  1989 Nov-Dec       Impact factor: 19.112

6.  Eye care utilization by older Americans: the SEE Project. Salisbury Eye Evaluation.

Authors:  P Orr; Y Barrón; O D Schein; G S Rubin; S K West
Journal:  Ophthalmology       Date:  1999-05       Impact factor: 12.079

7.  Teleretinal imaging to screen for diabetic retinopathy in the Veterans Health Administration.

Authors:  Anthony A Cavallerano; Paul R Conlin
Journal:  J Diabetes Sci Technol       Date:  2008-01

8.  Interventions among primary-care practitioners to improve care for preventable complications of diabetes.

Authors:  L C Deeb; F P Pettijohn; J K Shirah; G Freeman
Journal:  Diabetes Care       Date:  1988-03       Impact factor: 19.112

9.  Ophthalmic examination among adults with diagnosed diabetes mellitus.

Authors:  R J Brechner; C C Cowie; L J Howie; W H Herman; J C Will; M I Harris
Journal:  JAMA       Date:  1993-10-13       Impact factor: 56.272

10.  Factors associated with having eye examinations in persons with diabetes.

Authors:  S E Moss; R Klein; B E Klein
Journal:  Arch Fam Med       Date:  1995-06
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  4 in total

1.  Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

Authors:  Omolola Ogunyemi; Dulcie Kermah
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

2.  Teleretinal screening for diabetic retinopathy in six Los Angeles urban safety-net clinics: final study results.

Authors:  Omolola Ogunyemi; Sheba George; Lauren Patty; Senait Teklehaimanot; Richard Baker
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

3.  Comparison between binocular indirect ophthalmoscopy and digital retinography for diabetic retinopathy screening: the multicenter Brazilian Type 1 Diabetes Study.

Authors:  Fernando Korn Malerbi; Paulo Henrique Morales; Michel Eid Farah; Karla Rezende Guerra Drummond; Tessa Cerqueira Lemos Mattos; André Araújo Pinheiro; Felipe Mallmann; Ricardo Vessoni Perez; Franz Schubert Lopes Leal; Marília Brito Gomes; Sergio Atala Dib
Journal:  Diabetol Metab Syndr       Date:  2015-12-21       Impact factor: 3.320

4.  Quality and learning curve of handheld versus stand-alone non-mydriatic cameras.

Authors:  Mariya Gosheva; Christian Klameth; Lars Norrenberg; Lucien Clin; Johannes Dietter; Wadood Haq; Iliya V Ivanov; Focke Ziemssen; Martin A Leitritz
Journal:  Clin Ophthalmol       Date:  2017-08-31
  4 in total

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