{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T20:07:24Z","timestamp":1777579644282,"version":"3.51.4"},"reference-count":32,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2014,9,18]],"date-time":"2014-09-18T00:00:00Z","timestamp":1410998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Ophthalmology"],"published-print":{"date-parts":[[2015,3]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate diabetic retinopathy (DR) prevalence and risk factors, and the effectiveness of nonmydriatic fundus camera as a screening tool for the detection of DR, in a safety net hospital.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This was a retrospective, population-based, cross-sectional study. Diabetic patients, referred by their primary care physicians to a DR community screening program, were included. A Topcon TRC NW-6S camera was used to obtain 45-degree digital color fundus images. Images were interpreted by retina specialists using a quality rating system. Patients with retinal findings or unreadable photographs were referred for a complete examination. Outcome measures were attendance rates, photograph quality, DR prevalence, and associated risk factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 948 diabetic patients were sent for camera screening, with an attendance rate of 65.6%, which increased during the study period. The mean age was 55.8 \u00b1 11.6 years, the majority (56.9%) were Hispanic, and 43.5% were uninsured. Overall photograph quality rating was relatively high, with 81.7% graded as good or fair. Thirty photographs (2.9%) were unreadable. The prevalence of newly diagnosed DR was 11.1%. Independent DR-associated risk factors included Hispanic race (odds ratio [OR] = 2.29), lack of health insurance (OR = 2.49), longer duration of diabetes (OR = 1.07), higher HbA1c levels (OR = 1.19), presence of diabetic complications (OR = 2.93), and lack of previous eye examination (OR = 13.22).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Nonmydriatic fundus camera is an effective and feasible screening tool for the early detection of DR in a safety net institution. It should be considered in areas with limited access to health care to improve quality of care and potentially reduce vision loss rates.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.5301\/ejo.5000515","type":"journal-article","created":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T04:24:26Z","timestamp":1414988666000},"page":"145-152","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Nonmydriatic Fundus Camera for Diabetic Retinopathy Screening in a Safety Net Hospital: Effectiveness, Prevalence, and Risk Factors"],"prefix":"10.1177","volume":"25","author":[{"given":"Shulamit","family":"Schwartz","sequence":"first","affiliation":[{"name":"Ophthalmology Department, Denver Health Medical Center, University of Colorado, Denver - USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mariana","family":"Harasawa","sequence":"additional","affiliation":[{"name":"Ophthalmology Department, Denver Health Medical Center, University of Colorado, Denver - USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valeria","family":"Baldivieso","sequence":"additional","affiliation":[{"name":"Ophthalmology Department, Denver Health Medical Center, University of Colorado, Denver - USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Allison L.","family":"Sabel","sequence":"additional","affiliation":[{"name":"Biostatistics and Clinical Data Department, Denver Health Medical Center, affiliated with University of Colorado, Denver - USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naresh","family":"Mandava","sequence":"additional","affiliation":[{"name":"Ophthalmology Department, Rocky Mountain Lion Eye Institute, University of Colorado, Aurora - USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hugo","family":"Quiroz-Mercado","sequence":"additional","affiliation":[{"name":"Ophthalmology Department, Denver Health Medical Center, University of Colorado, Denver - USA"},{"name":"Ophthalmology Department, Rocky Mountain Lion Eye Institute, University of Colorado, Aurora - USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,9,18]]},"reference":[{"key":"bibr1-ejo.5000515","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.27.5.1047"},{"key":"bibr2-ejo.5000515","doi-asserted-by":"publisher","DOI":"10.1186\/1478-7954-8-29"},{"key":"bibr3-ejo.5000515","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2008.09.023"},{"key":"bibr4-ejo.5000515","doi-asserted-by":"publisher","DOI":"10.2337\/dc08-zb05"},{"key":"bibr5-ejo.5000515","doi-asserted-by":"publisher","DOI":"10.1016\/S0161-6420(13)38011-7"},{"key":"bibr6-ejo.5000515","unstructured":"American Academy of Ophthalmology Retina Panel. 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