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Purpose: To identify the prominent factors that lead to misdiagnosis of retinopathy of prematurity (ROP) by ophthalmologists-in-training in the United States and Canada. Methods: This prospective cohort study included 32 ophthalmologists-in-training at six ophthalmology training programs in the United States and Canada. Twenty web-based cases of ROP using wide-field retinal images were presented, and ophthalmologists-in-training were asked to diagnose plus disease, zone, stage, and category for each eye. Responses were compared to a consensus reference standard diagnosis for accuracy, which was established by combining the clinical diagnosis and the image-based diagnosis by multiple experts. The types of diagnostic errors that occurred were analyzed with descriptive and chi-squared analysis. Main outcome measures were frequency of types (category, zone, stage, plus disease) of diagnostic errors; association of errors in zone, stage, and plus disease diagnosis with incorrectly identified category; and performance of ophthalmologists-in-training across postgraduate years. Results: Category of ROP was misdiagnosed at a rate of 48%. Errors in classification of plus disease were most commonly associated with misdiagnosis of treatment-requiring (plus error rate = 16% when treatment-requiring was correctly diagnosed vs 81% when underdiagnosed as type 2 or pre-plus; mean difference: 64.3; 95% CI: 51.9 to 76.7; P <.001) and type 2 or pre-plus (plus error rate = 35% when type 2 or pre-plus was correctly diagnosed vs 76% when overdiagnosed as treatment-requiring; mean difference: 41.0; 95% CI: 28.4 to 53.5; P <.001) disease. The diagnostic error rate of postgraduate year (PGY)-2 trainees was significantly higher than PGY-3 trainees (PGY-2 category error rate = 61% vs PGY-3 = 35%; mean difference, 25.4; 95% CI: 17.7 to 33.0; P <.001). Conclusions: Ophthalmologists-in-training in the United States and Canada misdiagnosed ROP nearly half of the time, with incorrect identification of plus disease as a leading cause. Integration of structured learning for ROP in residency education may improve diagnostic competency. [J Pediatr Ophthalmol Strabismus. 2023;60(5):337–343.] [ABSTRACT FROM AUTHOR]

Little is known about how existing electronic health records (EHRs) influence the practice of pediatric medicine. A total of808 pediatricians participated in a survey about workflows using the EHR. The EHR was the most commonly used source of initial patient information. Seventy-two percent reported requiring between 2 and 10 minutes to complete an initial review of the EHR. Several moderately severe information barriers were reported regarding the display of information in the EHR. Pediatricians acquire information about new patients from EHRs more often than any other source. EHRs play a critical role in pediatric care but require improved design and efficiency. [ABSTRACT FROM AUTHOR]

Describes the autosomal dominant stargardt-like phenotype disease (STGD) on a locus of chromosome 4p among aged people in the United States. Comparison between the STGD and the age-related macular degeneration (AMD) disease; Factors causing the occurrence of the disease; Localization of extended haplotypes on the disease gene between loci D4s1582 and D4S2397.

To determine recent incidence and visual outcomes for acute-onset endophthalmitis after cataract surgery performed in the United States. Retrospective cohort study. United States cataract surgery patients, 2013-2017 (5 401 686 patients). Cases of acute-onset postoperative endophthalmitis occurring within 30 days after cataract surgery were identified using diagnosis codes in the American Academy of Ophthalmology IRIS (Intelligent Research in Sight) Registry database, drawn from electronic health records in ophthalmology practices across the nation. Annual and aggregate 5-year incidences were determined for all cataract surgeries and specifically for standalone procedures versus those combined with other ophthalmic surgeries. Patient characteristics were compared. Mean and median visual acuity was determined at 1 month preoperative as well as 1 week, 1 month, and 3 months postoperative among patients with and without endophthalmitis. Incidence of acute-onset postoperative endophthalmitis after cataract surgery. A total of 8 542 838 eyes underwent cataract surgery, 3629 of which developed acute-onset endophthalmitis (0.04%; 95% confidence interval, 0.04%–0.04%). Endophthalmitis incidence was highest among patients aged 0 to 17 years (0.37% over 5 years), followed by patients aged 18 to 44 years (0.18% over 5 years; P < 0.0001). Endophthalmitis occurred 4 times more often after combined cases (cataract with other ophthalmic procedures) than after standalone cataract surgeries (0.20% vs. 0.04% of cases), and occurred in 0.35% of patients receiving anterior vitrectomy. Mean 3-month postoperative visual acuity was 20/100 (median, 20/50) among endophthalmitis patients, versus a mean of approximately 20/40 (median, 20/30) among patients without endophthalmitis. However, 4% of endophthalmitis patients still achieved 20/20 or better visual acuity, and 44% achieved 20/40 or better visual acuity at 3 months. Acute-onset endophthalmitis occurred in 0.04% of 8 542 838 cataract surgeries performed in the United States between 2013 and 2017. Risk factors may include younger age, cataract surgery combined with other ophthalmic surgeries, and anterior vitrectomy. Visual acuity outcomes vary; however, patients can recover excellent vision after surgery. Big data from clinical registries like the IRIS Registry has great potential for evaluating rare conditions such as endophthalmitis, including developing benchmarks, longer-term time trend investigation, and comprehensive analysis of risk factors and prophylaxis. [ABSTRACT FROM AUTHOR]

PURPOSE: To discuss the current trend toward greater use of electronic health records and how these records could enhance public health surveillance of eye health and vision-related conditions. DESIGN: Perspective, comparing systems. METHODS: We describe 3 currently available sources of electronic health data (Kaiser Permanente, the Veterans Health Administration, and the Centers for Medicare & Medicaid Services) and how these sources can contribute to a comprehensive vision and eye health surveillance system. RESULTS: Each of the 3 sources of electronic health data can contribute meaningfully to a comprehensive vision and eye health surveillance system, but none currently provide all the information required. The use of electronic health records for vision and eye health surveillance has both advantages and disadvantages. CONCLUSIONS: Electronic health records may provide additional information needed to create a comprehensive vision and eye health surveillance system. Recommendations for incorporating electronic health records into such a system are presented. [ABSTRACT FROM AUTHOR]

In the U.S., the prevalence of blindness is expected to double by 2050 and as many half of those with blinding eye disease are unaware of their diagnosis. Screening for vision health in the community setting may offer a key strategy to address the rising trend avoidable vision loss. However, problems with excessive referrals and low compliance with these referrals (often <50%) undermine the effectiveness of vision screening programs. We investigated the outcomes of a modified vision screening program design. Key modifications were 1) incorporating an on-site ophthalmologist during screening events; and 2) leveraging community partner resources to maximizing benefit to participants. A review of screening outcomes of 4349 particpant examinations from the Casey Eye Institute Outreach Program (CEIO program) from 01/04/2012 to 10/31/2016 were analyzed for demographics and disease findings. The burden on participants to comply with referrals was lessened as 97% of participants completed definitive exams. Clinical care was recommended for 924 (21.2%)  participants. Nearly four out of five participants (78.8%) were provided care for all of their immediate vision health needs (full exams, refractions, and spectacle ordering). Modifications to vision screening program design may improve their effectiveness. [ABSTRACT FROM AUTHOR]

The human brain undergoes rapid development during the first years of life. Beginning in utero, a wide array of biological, social, and environmental factors can have lasting impacts on brain structure and function. To understand how prenatal and early life experiences alter neurodevelopmental trajectories and shape health outcomes, several NIH Institutes, Centers, and Offices collaborated to support and launch the HEALthy Brain and Child Development (HBCD) Study. The HBCD Study is a multi-site prospective longitudinal cohort study, that will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Influenced by the success of the ongoing Adolescent Brain Cognitive Development SM Study (ABCD Study®) and in partnership with the NIH Helping to End Addiction Long-term® Initiative, or NIH HEAL Initiative®, the HBCD Study aims to establish a diverse cohort of over 7000 pregnant participants to understand how early life experiences, including prenatal exposure to addictive substances and adverse social environments as well as their interactions with an individual's genes, can affect neurodevelopmental trajectories and outcomes. Knowledge gained from the HBCD Study will help identify targets for early interventions and inform policies that promote resilience and mitigate the neurodevelopmental effects of adverse childhood experiences and environments., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Julia L. Zehr reports a relationship with Jazz Pharmaceuticals Inc that includes: equity or stocks. Co-author’s spouse is employed by Jazz Pharmaceuticals, Inc - JLZ If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper, (Copyright © 2024. Published by Elsevier Ltd.)

Purpose of Review: This review highlights the artificial intelligence, machine learning, and deep learning initiatives supported by the National Institutes of Health (NIH) and the National Eye Institute (NEI) and calls attention to activities and goals defined in the NEI Strategic Plan as well as opportunities for future activities and breakthroughs in ophthalmology., Recent Findings: Ophthalmology is at the forefront of artificial intelligence-based innovations in biomedical research that may lead to improvement in early detection and surveillance of ocular disease, prediction of progression, and improved quality of life. Technological advances have ushered in an era where unprecedented amounts of information can be linked that enable scientific discovery. However, there remains an unmet need to collect, harmonize, and share data in a machine actionable manner. Similarly, there is a need to ensure that efforts promote health and research equity by expanding diversity in the data and workforce., Summary: The NIH/NEI has supported the development artificial intelligence-based innovations to advance biomedical research. The NIH/NEI has defined activities to achieve these goals in the NIH Strategic Plan for Data Science and the NEI Strategic Plan and have spearheaded initiatives to facilitate research in these areas., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Competing Interests: Conflict of Interest Disclosure: MFC previously received grant funding from the National Institutes of Health (Bethesda, MD), National Science Foundation (Arlington, VA), and Genentech (South San Francisco, CA). MFC was previously a Consultant with Novartis (Basel, Switzerland), and was previously an equity owner with InTeleretina, LLC (Honolulu, HI).

Eight years since the launch of the National Eye Institute Audacious Goals Initiative for Regenerative Medicine, real progress has been made in the effort to restore vision by replacing retinal neurons. Although challenges remain, the infrastructure, tools, and preclinical models to support clinical studies in humans are being prepared. Building on the pioneering trials that are replacing the retinal pigment epithelium, it is expected that by the end of this decade first-in-human trials for the replacement of retinal neurons will be initiated.

Purpose: To survey pediatric ophthalmologists on their perspectives of artificial intelligence (AI) in ophthalmology., Methods: This is a subgroup analysis of a study previously reported. In March 2019, members of the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) were recruited via the online AAPOS discussion board to voluntarily complete a Web-based survey consisting of 15 items. Survey items assessed the extent participants "agreed" or "disagreed" with statements on the perceived benefits and concerns of AI in ophthalmology. Responses were analyzed using descriptive statistics., Results: A total of 80 pediatric ophthalmologists who are members of AAPOS completed the survey. The mean number of years since graduating residency was 21 years (range, 0-46). Overall, 91% (73/80) reported understanding the concept of AI, 70% (56/80) believed AI will improve the practice of ophthalmology, 68% (54/80) reported willingness to incorporate AI into their clinical practice, 65% (52/80) did not believe AI will replace physicians, and 71% (57/80) believed AI should be incorporated into medical school and residency curricula. However, 15% (12/80) were concerned that AI will replace physicians, 26% (21/80) believed AI will harm the patient-physician relationship, and 46% (37/80) reported concern over the diagnostic accuracy of AI., Conclusions: Most pediatric ophthalmologists in this survey viewed the role of AI in ophthalmology positively., (Copyright © 2021 American Association for Pediatric Ophthalmology and Strabismus. Published by Elsevier Inc. All rights reserved.)

Purpose: To compare the average intraocular pressure (IOP) among smokers, past smokers, and never smokers using the American Academy of Ophthalmology Intelligent Research in Sight (IRIS®) Registry., Design: Retrospective database study of the IRIS® Registry data., Participants: Intelligent Research in Sight Registry patients who were seen by an eye care provider during 2017., Methods: Patients were divided into current smoker, past smoker, and never smoker categories. The IOP was based on an average measurement, and separate analyses were performed in patients with and without a glaucoma diagnosis based on International Classification of Diseases (Ninth Edition and Tenth Edition) codes. Stratified, descriptive statistics by glaucoma status were determined, and the relationship between smoking and IOP was assessed with a multivariate linear regression model., Main Outcome Measures: Mean IOP., Results: A total of 12 535 013 patients were included. Compared with never smokers, current and past smokers showed a statistically significantly higher IOP by 0.92 mmHg (95% confidence interval [CI], 0.88-0.95 mmHg) and 0.77 mmHg (95% CI, 0.75-0.79 mmHg), respectively, after adjusting for age, gender, glaucoma, age-related macular degeneration, diabetic retinopathy, cataract, glaucoma surgery, cataract surgery, and first-order interactions. In addition, the difference in IOP between current and never smokers was the highest in the fourth decade, regardless of the glaucoma status (glaucoma group, 1.14 mmHg [95% CI, 1.00-1.29 mmHg]; without glaucoma group, 0.68 mmHg [95% CI, 0.65-0.71 mmHg])., Conclusions: Current smokers and past smokers have higher IOP than patients who never smoked. This difference is higher in patients with an underlying glaucoma diagnosis., (Published by Elsevier Inc.)

Electronic Health Records (EHRs) are widely used in the United States for clinical care and billing activities. Their widespread adoption has raised a variety of concerns about their effects on providers and medical care. As researchers address these concerns, they will need to understand how much time providers actually spend on the EHR. This study develops and validates methods for calculating total time requirements for EHR use by ophthalmologists using secondary EHR data from audit logs. Key findings from this study are that (1) Secondary EHR data can be used to estimate lower bounds on provider EHR use, (2) Providers spend a large amount of time using the EHR, (3) Most time spent on the EHR is spent reviewing information. These findings have important implications for practicing clinicians, and for EHR system design in the future.

Purpose: To describe the characteristics of the patient population included in the 2016 IRIS ® Registry (Intelligent Research in Sight) database for analytic aims., Design: Description of a clinical data registry., Participants: The 2016 IRIS Registry database consists of 17 363 018 unique patients from 7200 United States-based ophthalmologists in the United States., Methods: Electronic health record (EHR) data were extracted from the participating practices and placed into a clinical database. The approach can be used across dozens of EHR systems., Main Outcome Measures: Demographic characteristics., Results: The 2016 IRIS Registry database includes data about patient demographics, top-coded disease conditions, and visit rates., Conclusions: The IRIS Registry is a unique, large, real-world data set that is available for analytics to provide perspectives and to learn about current ophthalmic care and treatment outcomes. The IRIS Registry can be used to answer questions about practice patterns, use, disease prevalence, clinical outcomes, and the comparative effectiveness of different treatments. Limitations of the data are the same limitations associated with EHR data in terms of documentation errors or missing data and the lack of images. Currently, open access to the database is not available, but there are opportunities for researchers to submit proposals for analyses, for example through a Research to Prevent Blindness and American Academy of Ophthalmology Award for IRIS Registry Research., (Copyright © 2018 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)

Importance: Assessing the rate of electronic health record (EHR) adoption and ophthalmologists' perceptions on financial and clinical productivity is important in understanding how to direct future design and health care policy., Objective: To assess adoption rate and perceptions of financial and clinical outcomes of EHRs among ophthalmologists in the United States., Design, Setting, and Participants: Population-based, cross-sectional study. A random sample of 2000 ophthalmologists was generated on the basis of mailing address zip codes from the 2015 American Academy of Ophthalmology US active membership database, which included more than 18 000 ophthalmologists. A survey was sent by email to assess adoption rate of EHRs, perceptions of financial and clinical productivity, and engagement with Medicare and Medicaid programs that incentivize the use of EHRs. The survey was conducted between 2015 and 2016., Main Outcomes and Measures: Adoption rate of EHRs and perceptions of financial and clinical productivity., Results: The adoption rate of EHRs among surveyed ophthalmologists (348 respondents) was 72.1%. The responding ophthalmologists perceived that their net revenues and productivity have declined and that practice costs are higher with EHR use. Of those who attested for stage 1 of the EHR incentive program, 83% had already or were planning to attest to stage 2, but 9% had no plans., Conclusions and Relevance: The adoption of EHRs by ophthalmologists has more than doubled since a 2011 survey and is similar to that of primary care physicians (79%). In comparison with 2 previous surveys of ophthalmologists, respondents had more negative perceptions of EHR productivity outcomes and effect on practice costs, although financial data were not collected in this survey to support these opinions. These negative perceptions suggest that more attention should be placed on improving the efficiency and usability of EHR systems.

Purpose: To describe the design, implementation, and evaluation of a tele-education system developed to improve diagnostic competency in retinopathy of prematurity (ROP) by ophthalmology residents., Methods: A secure Web-based tele-education system was developed utilizing a repository of over 2,500 unique image sets of ROP. For each image set used in the system, a reference standard ROP diagnosis was established. Performance by ophthalmology residents (postgraduate years 2 to 4) from the United States and Canada in taking the ROP tele-education program was prospectively evaluated. Residents were presented with image-based clinical cases of ROP during a pretest, posttest, and training chapters. Accuracy and reliability of ROP diagnosis (eg, plus disease, zone, stage, category) were determined using sensitivity, specificity, and the kappa statistic calculations of the results from the pretest and posttest., Results: Fifty-five ophthalmology residents were provided access to the ROP tele-education program. Thirty-one ophthalmology residents completed the program. When all training levels were analyzed together, a statistically significant increase was observed in sensitivity for the diagnosis of plus disease, zone, stage, category, and aggressive posterior ROP (P<.05). Statistically significant changes in specificity for identification of stage 2 or worse (P=.027) and pre-plus (P=.028) were observed., Conclusions: A tele-education system for ROP education is effective in improving diagnostic accuracy of ROP by ophthalmology residents. This system may have utility in the setting of both healthcare and medical education reform by creating a validated method to certify telemedicine providers and educate the next generation of ophthalmologists.

Purpose: To evaluate three measures related to electronic health record (EHR) implementation: clinical volume, time requirements, and nature of clinical documentation. Comparison is made to baseline paper documentation., Methods: An academic ophthalmology department implemented an EHR in 2006. A study population was defined of faculty providers who worked the 5 months before and after implementation. Clinical volumes, as well as time length for each patient encounter, were collected from the EHR reporting system. To directly compare time requirements, two faculty providers who utilized both paper and EHR systems completed time-motion logs to record the number of patients, clinic time, and nonclinic time to complete documentation. Faculty providers and databases were queried to identify patient records containing both paper and EHR notes, from which three cases were identified to illustrate representative documentation differences., Results: Twenty-three faculty providers completed 120,490 clinical encounters during a 3-year study period. Compared to baseline clinical volume from 3 months pre-implementation, the post-implementation volume was 88% in quarter 1, 93% in year 1, 97% in year 2, and 97% in year 3. Among all encounters, 75% were completed within 1.7 days after beginning documentation. The mean total time per patient was 6.8 minutes longer with EHR than paper (P<.01). EHR documentation involved greater reliance on textual interpretation of clinical findings, whereas paper notes used more graphical representations, and EHR notes were longer and included automatically generated text., Conclusion: This EHR implementation was associated with increased documentation time, little or no increase in clinical volume, and changes in the nature of ophthalmic documentation.

Objective: To evaluate the severity of postoperative inflammation, degree of patient discomfort, adequacy of wound closure, and length of operating time when using fibrin glue compared with sutures to close limbal conjunctival incisions after strabismus surgery., Methods: Literature searches of the PubMed and Cochrane Library databases were last conducted on January 24, 2013, and resulted in 24 citations, including 2 not in the English language. All citations were reviewed in full text. Five studies compared fibrin glue (68 eyes) with sutures (74 eyes) for closure of limbal conjunctival incisions in patients undergoing strabismus surgery and were included in this assessment; no studies were found that evaluated fornix incisions. A quality rating was assigned to each study using criteria specifically developed for this assessment., Results: No level I studies were found, and 5 level II studies were identified. There was significantly less postoperative inflammation and patient discomfort for 1 to 3 weeks after strabismus surgery for eyes treated with fibrin glue compared with sutures. In 3 studies that evaluated wound apposition, 2 of 50 eyes (4%) with conjunctival incisions that were initially closed using fibrin glue subsequently developed a wound gap that required suture repair. In the 2 studies that compared surgical time, fibrin glue required 1 to 5 minutes less time than suturing in 1 study and 55% less time (3.8 vs. 8.4 minutes) in a second study. These 5 studies did not evaluate the cost-effectiveness or risk of viral transmission from fibrin glue., Conclusions: Studies in the literature suggest that the off-label use of fibrin glue to close limbal conjunctival incisions in strabismus surgery resulted in less postoperative inflammation and required shorter operating time compared with sutures, but it increased the percentage of wounds requiring subsequent repair with sutures., Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article., (Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)

Objective: To evaluate the accuracy of detecting clinically significant retinopathy of prematurity (ROP) using wide-angle digital retinal photography., Methods: Literature searches of PubMed and the Cochrane Library databases were conducted last on December 7, 2010, and yielded 414 unique citations. The authors assessed these 414 citations and marked 82 that potentially met the inclusion criteria. These 82 studies were reviewed in full text; 28 studies met inclusion criteria. The authors extracted from these studies information about study design, interventions, outcomes, and study quality. After data abstraction, 18 were excluded for study deficiencies or because they were superseded by a more recent publication. The methodologist reviewed the remaining 10 studies and assigned ratings of evidence quality; 7 studies were rated level I evidence and 3 studies were rated level III evidence., Results: There is level I evidence from ≥5 studies demonstrating that digital retinal photography has high accuracy for detection of clinically significant ROP. Level III studies have reported high accuracy, without any detectable complications, from real-world operational programs intended to detect clinically significant ROP through remote site interpretation of wide-angle retinal photographs., Conclusions: Wide-angle digital retinal photography has the potential to complement standard ROP care. It may provide advantages through objective documentation of clinical examination findings, improved recognition of disease progression by comparing previous photographs, and the creation of image libraries for education and research., Financial Disclosure(s): Proprietary or commercial disclosure may be found after the references., (Copyright © 2012 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)

Objective: To evaluate the role of cryotherapy in the current treatment of retinopathy of prematurity (ROP)., Methods: Literature searches of PubMed and the Cochrane Library were conducted on December 2, 2009, for articles published after 1984. The searches included all languages and retrieved 187 relevant citations. Thirteen articles were deemed relevant to the assessment question and were rated according to the strength of evidence. Four articles reported results from 2 large multicenter randomized clinical trials, and the remaining 9 articles reported results of 3 small randomized trials that directly compared cryotherapy and laser., Results: Neither of the multicenter randomized clinical trials was a direct comparison of cryotherapy with laser. These studies were used to evaluate the comparative trials based on treatment criteria, study populations, and clinical results. Higher percentages of poor structural and functional outcomes generally were seen in eyes treated with cryotherapy compared with eyes undergoing laser treatment. Higher rates of systemic complications and myopia also were identified after treatment with cryotherapy., Conclusions: Despite a relative paucity of level I evidence directly comparing cryotherapy and laser treatment for threshold ROP, the literature suggests that neonatal facilities should gain access to laser technology and laser-trained ophthalmic staff to achieve better outcomes for treatment of the disease., (Copyright © 2012 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)

Unlabelled: The field of ophthalmology has a number of unique features compared with other medical and surgical specialties regarding clinical workflow and data management. This has important implications for the design of electronic health record (EHR) systems that can be used intuitively and efficiently by ophthalmologists and that can promote improved quality of care. Ophthalmologists often lament the absence of these specialty-specific features in EHRs, particularly in systems that were developed originally for primary care physicians or other medical specialists. The purpose of this article is to summarize the special requirements of EHRs that are important for ophthalmology. The hope is that this will help ophthalmologists to identify important features when searching for EHR systems, to stimulate vendors to recognize and incorporate these functions into systems, and to assist federal agencies to develop future guidelines regarding meaningful use of EHRs. More broadly, the American Academy of Ophthalmology believes that these functions are elements of good system design that will improve access to relevant information at the point of care between the ophthalmologist and the patient, will enhance timely communications between primary care providers and ophthalmologists, will mitigate risk, and ultimately will improve the ability of physicians to deliver the highest-quality medical care., Financial Disclosure(s): Proprietary or commercial interest disclosure may be found after the references., (Copyright © 2011 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)

Background: Telemedicine is an emerging technology with potential to improve care for retinopathy of prematurity (ROP). This study evaluates parental perceptions about digital imaging and telemedicine for ROP care., Methods: During a 1-year period, one parent of each infant who underwent wide-field retinal imaging for ROP was given a questionnaire designed to evaluate parental perceptions using a 5-point Likert-type scale. Five items assessed perceptions toward digital retinal imaging, and ten items assessed attitudes toward telemedicine. Construct validity of the questionnaire was examined using factor analysis. Responses were summarized using descriptive and correlational statistics., Results: Forty-two parents participated. Factor analysis extracted two factors explaining 79% of the total variance in digital retinal imaging items (Cronbach's alpha = 0.843), and three factors explaining 63% of the total variance in telemedicine items (Cronbach's alpha = 0.631). Among digital imaging items, the highest mean (+/-SD) score was for "digital pictures of my child's retinopathy should be included in the permanent medical record" (4.4 +/- 0.6), and the lowest was for "digital cameras and computers are reliable" (3.8 +/- 0.8). Among telemedicine items, the highest mean (+/-SD) score was for "technology will improve the quality of medical care for my child" (4.3 +/- 0.6), and the lowest was for "technology will make it harder for a patient and doctor to establish a good relationship" (2.6 +/- 1.1)., Conclusions: Parents reported positive perceptions about telemedical ROP diagnosis, but expressed some preference for face-to-face care. Telemedicine has potential to alter the nature of the patient-physician relationship.

Objective: To assess intercoder agreement for ophthalmology concepts by 3 physician coders using 5 controlled terminologies (International Classification of Diseases 9, Clinical Modification [ICD9CM]; Current Procedural Terminology, fourth edition; Logical Observation Identifiers, Names, and Codes [LOINC]; Systematized Nomenclature of Medicine, Clinical Terms [SNOMED-CT]; and Medical Entities Dictionary)., Design: Noncomparative case series., Participants: Five complete ophthalmology case presentations selected from a publicly available journal., Methods: Each case was parsed into discrete concepts. Electronic or paper browsers were used independently by 3 physician coders to assign a code for every concept in each terminology. A match score representing adequacy of assignment for each concept was assigned on a 3-point scale (0, no match; 1, partial match; 2, complete match). For every concept, the level of intercoder agreement was determined by 2 methods: (1) based on exact code matching with assignment of complete agreement when all coders assigned the same code, partial agreement when 2 coders assigned the same code, and no agreement when all coders assigned different codes, and (2) based on manual review for semantic equivalence of all assigned codes by an independent ophthalmologist to classify intercoder agreement for each concept as complete agreement, partial agreement, or no agreement. Subsequently, intercoder agreement was calculated in the same manner for the subset of concepts judged to have adequate coverage by each terminology, based on receiving a match score of 2 by at least 2 of the 3 coders., Main Outcome Measures: Intercoder agreement in each controlled terminology: complete, partial, or none., Results: Cases were parsed into 242 unique concepts. When all concepts were analyzed by manual review, the proportion of complete intercoder agreement ranged from 12% (LOINC) to 44% (SNOMED-CT), and the difference in intercoder agreement between LOINC and all other terminologies was statistically significant (P<0.004). When only concepts with adequate terminology were analyzed by manual review, the proportion of complete intercoder agreement ranged from 33% (LOINC) to 64% (ICD9CM), and there were no statistically significant differences in intercoder agreement among any pairs of terminologies., Conclusions: The level of intercoder agreement for ophthalmic concepts in existing controlled medical terminologies is imperfect. Intercoder reproducibility is essential for accurate and consistent electronic representation of medical data.