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A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective

AIMS/HYPOTHESIS: In this study we examined the cost-effectiveness of three different screening strategies for diabetic retinopathy: using a personalised adaptive model, annual screening (fixed intervals), and the current Dutch guideline (stratified based on previous retinopathy grade). METHODS: For...

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Autores principales: Emamipour, Sajad, van der Heijden, Amber A. W. A., Nijpels, Giel, Elders, Petra, Beulens, Joline W. J., Postma, Maarten J., van Boven, Job F. M., Feenstra, Talitha L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527375/
https://www.ncbi.nlm.nih.gov/pubmed/32734441
http://dx.doi.org/10.1007/s00125-020-05239-9
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author Emamipour, Sajad
van der Heijden, Amber A. W. A.
Nijpels, Giel
Elders, Petra
Beulens, Joline W. J.
Postma, Maarten J.
van Boven, Job F. M.
Feenstra, Talitha L.
author_facet Emamipour, Sajad
van der Heijden, Amber A. W. A.
Nijpels, Giel
Elders, Petra
Beulens, Joline W. J.
Postma, Maarten J.
van Boven, Job F. M.
Feenstra, Talitha L.
author_sort Emamipour, Sajad
collection PubMed
description AIMS/HYPOTHESIS: In this study we examined the cost-effectiveness of three different screening strategies for diabetic retinopathy: using a personalised adaptive model, annual screening (fixed intervals), and the current Dutch guideline (stratified based on previous retinopathy grade). METHODS: For each individual, optimal diabetic retinopathy screening intervals were determined, using a validated risk prediction model. Observational data (1998–2017) from the Hoorn Diabetes Care System cohort of people with type 2 diabetes were used (n = 5514). The missing values of retinopathy grades were imputed using two scenarios of slow and fast sight-threatening retinopathy (STR) progression. By comparing the model-based screening intervals to observed time to develop STR, the number of delayed STR diagnoses was determined. Costs were calculated using the healthcare perspective and the societal perspective. Finally, outcomes and costs were compared for the different screening strategies. RESULTS: For the fast STR progression scenario, personalised screening resulted in 11.6% more delayed STR diagnoses and €11.4 less costs per patient compared to annual screening from a healthcare perspective. The personalised screening model performed better in terms of timely diagnosis of STR (8.8% less delayed STR diagnosis) but it was slightly more expensive (€1.8 per patient from a healthcare perspective) than the Dutch guideline strategy. CONCLUSIONS/INTERPRETATION: The personalised diabetic retinopathy screening model is more cost-effective than the Dutch guideline screening strategy. Although the personalised screening strategy was less effective, in terms of timely diagnosis of STR patients, than annual screening, the number of delayed STR diagnoses is low and the cost saving is considerable. With around one million people with type 2 diabetes in the Netherlands, implementing this personalised model could save €11.4 million per year compared with annual screening, at the cost of 658 delayed STR diagnoses with a maximum delayed time to diagnosis of 48 months. GRAPHICAL ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-020-05239-9) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
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spelling pubmed-75273752020-10-19 A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective Emamipour, Sajad van der Heijden, Amber A. W. A. Nijpels, Giel Elders, Petra Beulens, Joline W. J. Postma, Maarten J. van Boven, Job F. M. Feenstra, Talitha L. Diabetologia Article AIMS/HYPOTHESIS: In this study we examined the cost-effectiveness of three different screening strategies for diabetic retinopathy: using a personalised adaptive model, annual screening (fixed intervals), and the current Dutch guideline (stratified based on previous retinopathy grade). METHODS: For each individual, optimal diabetic retinopathy screening intervals were determined, using a validated risk prediction model. Observational data (1998–2017) from the Hoorn Diabetes Care System cohort of people with type 2 diabetes were used (n = 5514). The missing values of retinopathy grades were imputed using two scenarios of slow and fast sight-threatening retinopathy (STR) progression. By comparing the model-based screening intervals to observed time to develop STR, the number of delayed STR diagnoses was determined. Costs were calculated using the healthcare perspective and the societal perspective. Finally, outcomes and costs were compared for the different screening strategies. RESULTS: For the fast STR progression scenario, personalised screening resulted in 11.6% more delayed STR diagnoses and €11.4 less costs per patient compared to annual screening from a healthcare perspective. The personalised screening model performed better in terms of timely diagnosis of STR (8.8% less delayed STR diagnosis) but it was slightly more expensive (€1.8 per patient from a healthcare perspective) than the Dutch guideline strategy. CONCLUSIONS/INTERPRETATION: The personalised diabetic retinopathy screening model is more cost-effective than the Dutch guideline screening strategy. Although the personalised screening strategy was less effective, in terms of timely diagnosis of STR patients, than annual screening, the number of delayed STR diagnoses is low and the cost saving is considerable. With around one million people with type 2 diabetes in the Netherlands, implementing this personalised model could save €11.4 million per year compared with annual screening, at the cost of 658 delayed STR diagnoses with a maximum delayed time to diagnosis of 48 months. GRAPHICAL ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-020-05239-9) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2020-07-31 2020 /pmc/articles/PMC7527375/ /pubmed/32734441 http://dx.doi.org/10.1007/s00125-020-05239-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Emamipour, Sajad
van der Heijden, Amber A. W. A.
Nijpels, Giel
Elders, Petra
Beulens, Joline W. J.
Postma, Maarten J.
van Boven, Job F. M.
Feenstra, Talitha L.
A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective
title A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective
title_full A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective
title_fullStr A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective
title_full_unstemmed A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective
title_short A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective
title_sort personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527375/
https://www.ncbi.nlm.nih.gov/pubmed/32734441
http://dx.doi.org/10.1007/s00125-020-05239-9
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