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Seeing Clearly: Effects of Initiatives to Improve Diabetic Retinopathy Screening at a Pediatric Center.

ABSTRACT: IN BRIEF "Quality Improvement Success Stories" are published by the American Diabetes Association in collaboration with the American College of Physicians, Inc. (ACP), and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of Clinical Diabetes. The following article describes an initiative to improve retinopathy screening rates at the pediatric diabetes clinic of a large academic teaching hospital in Canada.

SUBMITTER: Lam CKL

PROVIDER: S-EPMC6640886 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Seeing Clearly: Effects of Initiatives to Improve Diabetic Retinopathy Screening at a Pediatric Center.

Lam Carol K L CKL Zborovski Stephen S Palmert Mark R MR Harrington Jennifer J

Clinical diabetes : a publication of the American Diabetes Association 20190701 3

<b>IN BRIEF</b> "Quality Improvement Success Stories" are published by the American Diabetes Association in collaboration with the American College of Physicians, Inc. (ACP), and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the e ...[more]

PMID: 31371862

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Project description:ImportanceScreening for diabetic retinopathy is recommended for children with type 1 diabetes (T1D) and type 2 diabetes (T2D), yet screening rates remain low. Point-of-care diabetic retinopathy screening using autonomous artificial intelligence (AI) has become available, providing immediate results in the clinic setting, but the cost-effectiveness of this strategy compared with standard examination is unknown.ObjectiveTo assess the cost-effectiveness of detecting and treating diabetic retinopathy and its sequelae among children with T1D and T2D using AI diabetic retinopathy screening vs standard screening by an eye care professional (ECP).Design, setting, and participantsIn this economic evaluation, parameter estimates were obtained from the literature from 1994 to 2019 and assessed from March 2019 to January 2020. Parameters included out-of-pocket cost for autonomous AI screening, ophthalmology visits, and treating diabetic retinopathy; probability of undergoing standard retinal examination; relative odds of undergoing screening; and sensitivity, specificity, and diagnosability of the ECP screening examination and autonomous AI screening.Main outcomes and measuresCosts or savings to the patient based on mean patient payment for diabetic retinopathy screening examination and cost-effectiveness based on costs or savings associated with the number of true-positive results identified by diabetic retinopathy screening.ResultsIn this study, the expected true-positive proportions for standard ophthalmologic screening by an ECP were 0.006 for T1D and 0.01 for T2D, and the expected true-positive proportions for autonomous AI were 0.03 for T1D and 0.04 for T2D. The base case scenario of 20% adherence estimated that use of autonomous AI would result in a higher mean patient payment ($8.52 for T1D and $10.85 for T2D) than conventional ECP screening ($7.91 for T1D and $8.20 for T2D). However, autonomous AI screening was the preferred strategy when at least 23% of patients adhered to diabetic retinopathy screening.Conclusions and relevanceThese results suggest that point-of-care diabetic retinopathy screening using autonomous AI systems is effective and cost saving for children with diabetes and their caregivers at recommended adherence rates.

Project description:BackgroundThe application of economic analysis within implementation science is still developing and the cost of intervention development, which differs markedly from the costs of initial implementation and maintenance, is often overlooked. Our aim was to retrospectively cost the development of a multifaceted intervention in primary care to improve attendance at diabetic retinopathy screening.MethodsA retrospective micro costing of developing the intervention from the research funder perspective was conducted. It was based on a systematic intervention development process involving analysis of existing audit data and interviews with patients and healthcare professionals (HCPs), conducting consensus meetings with patients and HCPs, and using these data together with a rapid review of the effectiveness of interventions, to inform the final intervention. Both direct (non-personnel, e.g. travel, stationary, room hire) and indirect (personnel) costs were included. Data sources included researcher time logs, payroll data, salary scales, an online financial management system, invoices and purchase orders. Personnel involved in the intervention development were consulted to determine the activities they conducted and the duration of their involvement. Sensitivity and scenario analyses were conducted to estimate uncertainty around parameters and scope.ResultsThe total cost of intervention development (July 2014-January 2019) was €40,485 of which 78% were indirect (personnel) costs (€31,451). In total, personnel contributed 1368 h to intervention development. Highest cost activities were the patient interviews, and consensus process, contributing 23% and 34% of the total cost. Varying estimated time spent on intervention development activities by + 10% increased total intervention development cost by 6% to €42,982.ConclusionsOur results highlight that intervention development requires a significant amount of human capital input, combining research experience, patient and public experience, and expert knowledge in relevant fields. The time committed to intervention development is critical but has a significant opportunity cost. With limited resources for research on developing and implementing interventions, capturing intervention development costs and incorporating them as part of assessment of cost-effective interventions, could inform research priority and resource allocation decisions.

Dataset Information

Seeing Clearly: Effects of Initiatives to Improve Diabetic Retinopathy Screening at a Pediatric Center.

Publications

Seeing Clearly: Effects of Initiatives to Improve Diabetic Retinopathy Screening at a Pediatric Center.

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