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Background: Research and monitoring of human resources available for vision rehabilitation services has been a neglected area of work in the past. This study aims to offer an overview of the vision rehabilitation workforce available in Italy, in order to profile the distribution and number of human resources for vision rehabilitation., Methods: Data on the available vision rehabilitation professionals were collected from the yearly report on the state of implementation of policies relating to the prevention of blindness, education and vision rehabilitation, according to a law which was passed by the Italian Ministry of Health, Department of Health Prevention. The report presents a review of all professional workers dealing with low vision rehabilitation centers in Italy between January 2005 and December 2019. Data on the distribution and type of services of government-supported low vision centers across the country were also obtained and examined., Results: Of the 289 low vision rehabilitation workers in 2019, 28% were ophthalmologists, 31% orthoptists, 19% psychologists, 17% nurses and 5% social workers. The health workforce densities across the Italian regions ranged from 1.62 to 0.12 per 100.000. The density of vision rehabilitation workers showed a no growing trend from 2006 to 2015. During the study period, it was found a weak but statistically significant association of workforce density with the number of government-supported low vision centers across the Italian territory (r 2  = 0.3, p < 0.05). The vision rehabilitation workforce was not associated with the number of low vision patients who accessed to a vision rehabilitation center (r 2  = 0.05, p < 0.0001)., Discussion: A critical review has identified the following national situation: need-based shortages of workers in the vision rehabilitation service sector, as well as deficiencies in data sources. Based on our results, we would recommend increasing the development of human resources trained and dedicated to vision rehabilitation and improve data collection and analysis; provide structural enhancements, across all service levels. These considerations may contribute to the enhancement of policy decisions in order to guarantee an adequate vision rehabilitation workforce and meet national rehabilitation needs. Furthermore, this analysis should be used as a lesson learned by other countries, as low-income ones, in order to develop vision rehabilitation services., (© 2024. The Author(s).)

Purpose: To estimate utility values associated with visual loss using EuroQol (EQ-5D) questionnaire, the impact of low-vision (LV) device use on utilities and the contribution of Instrumental Activities of Daily Living (IADL) score in patients attending vision rehabilitation (VR) services enrolled in the Italian Device & Aids Register (D.A.Re)., Methods: This is a multicenter, prospective, cross-sectional study. D.A.Re. collects general and clinical information, vision-specific variables, use of electronic devices and quality of life questionnaires., Results: A total of 442 patients (75.0±16.6 years, 275 female) were included, 88 (19.9%) used specialised electronic LV devices, and 116 (26.2%) used smartphones and tablets. Users of smartphones and tablets were younger than non-users (67.5 vs. 77.6 years, p<0.001), but overall, their age ranged between 20 and 93. Stronger associations were found between vision-specific variables and IADL score compared to EQ-5D score. In multivariable age-adjusted models, the utility value of using smartphones and tablets on EQ-5D score was 0.12 (p<0.01), slightly larger than that of 1.0 logMAR difference (-0.09, p<0.01) or visual field damage within 10° of fixation (-0.10, p<0.01). Use of portable low-vision electronic devices and being employed or student (vs. retired) was also associated with better utility values (0.12 and 0.15, respectively, p<0.05)., Conclusions: Visual loss is associated with loss of utilities in Italian patients attending VR services, whereas special-purpose electronic aids, and smartphone and tablet use are associated with better utility values. We found that IADL may be more sensitive to visual loss than EQ-5D and could be a valid health-related quality of life outcome in trials on VR., Competing Interests: Gianni Virgili, Eliana Costanzo, Ilaria Biagini, Alessia Di Simone, Filippo Amore, Mauro Tettamanti, Simona Di Pietro, Giovanni L. Ciaffoni, Giovanni Sato, Giovanni Giacomelli, Federico Bartolomei have nothing to disclose. Mariacristina Parravano reports personal fees from Novartis, Bayer, La-Roche, Abbvie outside the submitted work. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2024 Virgili et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Purpose: To investigate the characteristics of electronic device users, specifically smartphones and tablets, in the Device & Aids Register (D.A.Re), from several low-vision rehabilitation services in Italy., Methods: We collected general and clinical information about ocular and systemic diseases, visual function, reading speed and Instrumental Activities of Daily Living (IADL) questionnaire score. Technological details of each optical and electronic device, (including screen size, touch-screen and OCR functions, text-to-speech function) were also collected., Results: 1218 patients (752 females and 466 males) were included in our analysis, mean age 71.5 (±18.8) years. Users of electronic aids (n.237) were slightly younger (67 vs 72 years, p < 0.001) than non-users (n.981), had a worse reading speed (38 vs 65 words/minute), critical print size (43 vs 28 print size, p < 0.001), poorer visual acuity (VA)(1.0 logMAR or less: 30% non-users vs 73% users, p < 0.001) and more commonly visual field restriction within 10° (23% vs 14%, p = 0.001). A similar proportion of users and non-users were retired (about 70%) and about 16-17% were employed. The use of portable electronic devices (5″or less, p < 0.001; 6″ to 18″ screen size, p = 0.017) was associated with better IADL scores, and the use of stand devices with worse IADL score (p < 0.001); Furthermore, using smartphones and tablets (193 subjects) was strongly associated with better IADL scores., Conclusion: We found that using electronic devices, and especially smartphone and tablets, were associated with better vision-related quality of life in low-vision people attending rehabilitation services. While this association does not mean causality, these findings seemed robust to confounder adjustment., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Federico Bartolomei, Eliana Costanzo, Ruth E. Hogg, John G. Lawrenson, Elisabetta Falchini, Alessia Di Simone, Valentina Pastore, Chiara Mastrantuono, Giovanni Sato, Filippo Amore, Ilaria Biagini, Giovanni L. Ciaffoni, Mauro Tettamanti, and Gianni Virgili have nothing to disclose.Mariacristina Parravano reports personal fees from Allergan, Novartis, Bayer, Roche, Zeiss outside the submitted work.

Purpose: The Veterans Affairs Low-Vision Visual Functioning Questionnaire-48 is among the most validated tools to collect patient-reported outcomes in a low-vision population. We have aimed to conduct a pilot validation of the Italian version of the Veterans Affairs Low-Vision Visual Functioning Questionnaire-48., Methods: The Veterans Affairs Low-Vision Visual Functioning Questionnaire-48 was translated using a standardized procedure and then administered to consecutive low-vision patients attending rehabilitation services in three centers. Patients were interviewed by a trained psychologist regarding the individual items of the tool., Results: We included 131 patients with a mean visual acuity of 0.91 logMAR (standard deviation: 0.42 logMAR), mostly affected by age-related macular degeneration. The Veterans Affairs Low-Vision Visual Functioning Questionnaire-48 showed high internal consistency (Cronbach's alpha: 0.98) and good item-test and item-rest correlation (median: 0.73 and 0.71, respectively). Both the overall score and the subscale (reading, visual motor, mobility and visual information) scores significantly correlated with visual acuity, reading acuity and speed. Reading speed achieved the best absolute correlation with the Veterans Affairs Low-Vision Visual Functioning Questionnaire-48 scores (Spearman r: 0.39-0.49)., Conclusion: The Italian version of the Veterans Affairs Low-Vision Visual Functioning Questionnaire-48 is a valid tool to assess patients attending low-vision services. Revising a few items may further improve the tool.

Purpose: To compare the final diagnosis of the causes of low vision in children attending a tertiary rehabilitation centre for visually impaired children versus referral diagnosis., Methods: Retrospective review of clinical charts of all children referred to the Robert Hollman Foundation, a tertiary centre for visually impaired children, between January 2010 and June 2011. The following clinical data were analysed: entry diagnosis made by the referral ophthalmologist and final diagnosis made at Robert Hollman Foundation based on a complete ophthalmic evaluation., Results: Ninety-two consecutive children (mean age = 2.37 ± 1.98 years, range = 0-9) were included. A referral diagnosis was retrieved in 76 cases (82.6%), including cerebral visual impairment (14.1%), retinopathy of prematurity (14.1%), hereditary retinal diseases (10.9%), nystagmus (8.7%) and other rarer diseases (34.8%). In the remaining 16 children (17.4%), a precise referral diagnosis was unavailable. Final clinical diagnosis made at Robert Hollman Foundation was normal visual function in 8.7%, cerebral visual impairment in 30.4%, retinopathy of prematurity in 10.9%, hereditary retinal disease in 9.8% and other in 40.2%. In 17 cases (18.5%), the diagnosis made at the Robert Hollman Foundation did not confirm the entry diagnosis. Among patients where measurement of visual acuity was possible (84), 66.7% were blind or seriously visual impaired, and the main causes were cerebral visual impairment (32.1%) and retinopathy of prematurity (16.1%)., Conclusion: The most frequent diseases were cerebral visual impairment, retinopathy of prematurity and hereditary retinal diseases. Approximately one-third of referred children had not a correct diagnosis at baseline. The activity of an ophthalmic tertiary centre is essential to offer a precise diagnosis to visually impaired (sometimes with other deficits) children.