Telemedicine Retinal Screening Utilizing a Mobile Medical Unit
Telemedicine Retinal Screening Utilizing a Mobile Medical Unit With a Trained Technician Accurately Detects Disease in High Risk Ethnically Diverse Populations: Results of a Project Dulce™ Retinal Screening Study
Objective: To test the accuracy of a referral system for diabetic eye disease conducted by a trained screener using a digital camera, a mobile medical unit and a centralized image-storing software in underserved, ethnically diverse neighborhoods in San Diego.
Methods and Research Design: Retinal screening exams were offered at 8 community health centers for 1229 individuals, ages 16-80 years with diabetes throughout San Diego County over 18 months. Images were captured with a special digital camera, securely transferred to a software system and read independently by a trained technician and retinal specialist. An analysis was conducted to evaluate who had severe eye disease and how accurate the reading of the technician were compared to the expert ophthalmologist readings.
The investigators would like to demonstrate that telemedicine retinal screening utilizing a mobile medical unit with a trained technician in high-risk, ethnically diverse populations can accurately detect positive and negative disease. This may be a model to increase access to retinal examination in order to meet current guidelines and can allow more efficient use of the retinal specialist to evaluate and treat disease leading to a more cost efficient method of care.
調査の概要
詳細な説明
Objective: To test the validity and accuracy of a grading and referral system for diabetic retinopathy conducted by a trained screener using a digital camera, a mobile medical unit and a centralized image-storing software in underserved, ethnically diverse neighborhood community health centers Methods and Research Design: Retinal screening exams using telemedicine technology were offered at 8 community health centers for 1229 individuals, ages 16-80 years with diabetes throughout San Diego County over 18 months. Images were electronically captured, transferred to EyePACs1 image software and read independently by a trained technician and retinal specialist. Statistical analysis was conducted to evaluate prevalence of disease and accuracy and validity of readings. Snellen eye test and glaucoma testing using tonometry will also be conducted.
Results: Will evaluate demographics that include age, gender, ethnicity, duration of diabetes, type of diabetes and need for dilation. Severity of disease will be captured. Statistical analysis will be conducted for technician accuracy of grading the readings.
Conclusions: To demonstrate that telemedicine retinal screening utilizing a mobile medical unit with a trained technician in high-risk, ethnically diverse populations can accurately detect positive and negative screens. This may be a model to increase access to retinal examination in order to meet ADA and HEDIS guidelines and can allow more efficient use of the retinal specialist to evaluate and treat disease leading to a more cost efficient method of care.
研究の種類
入学 (実際)
連絡先と場所
研究場所
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California
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La Jolla、California、アメリカ、92037
- Scripps Whittier Diabetes Institute
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
サンプリング方法
調査対象母集団
説明
Inclusion Criteria:
- age 16-80 years;
- diagnoses of type 1 or 2 diabetes;
- enrolled in one of the participating clinics or has a personal primary care provider;
- no or minimal insurance and is a San Diego County resident.
Exclusion criteria:
- high intra-ocular pressure > 21 mmHg and < 4 mm of pupil dilation
- known allergy to latex .
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 観測モデル：コホート
- 時間の展望：見込みのある
協力者と研究者
研究記録日
主要日程の研究
研究開始
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (見積もり)
学習記録の更新
投稿された最後の更新 (見積もり)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
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