A cost-minimisation analysis comparing alternative telemedicine screening approaches for retinopathy of prematurity
- PMID: 33412992
- DOI: 10.1177/1357633X20976028
A cost-minimisation analysis comparing alternative telemedicine screening approaches for retinopathy of prematurity
Abstract
Introduction: Screening for retinopathy of prematurity (ROP) is an important procedure in the prevention of blindness in high-risk preterm infants. In the regionalised healthcare system of Queensland (Australia), outside of the major centres, some preterm infants are cared for in special care nurseries (SCNs). When necessary, infants in these nurseries who are at risk of ROP are transferred to a tertiary hospital for screening by paediatric ophthalmologists. The transport of preterm infants for eye examinations adds risk and incurs significant costs to the health system. Using a cost-minimisation approach, we aimed to compare the costs of the current ROP screening practice with two alternative telemedicine approaches.
Methods: We constructed a decision analytic model to estimate costs from a health service perspective with a five-year analysis horizon; activity data from a tertiary ROP screening service were used to inform the models. The three models assessed were: (a) a digital retinal photography (DRP)-equipped travelling nurse, (b) equipping SCNs with DRP, and providing training to local nurses, and (c) current practice of infant transfer. In all cases, the tertiary centre provides specialist ophthalmologic review.
Results: Of the three models, we estimated the most expensive option to be equipping SCNs with DRP and providing training to local nurses (AUD$4114/infant). We found that the current practice of transferring infants was the second most expensive (AUD$1021/infant). The most economical model was the specialist nurse travelling to each SCN with a portable DRP (AUD$363/infant). A sensitivity analysis, which assessed uncertainty and variability around the cost estimates, found that the ranking for the expected costs of the alternative models of care did not change.
Discussion: This is the first economic and cost-minimisation analysis in Australia to compare the costs of the current screening programme with two alternative telemedicine approaches for screening ROP. Telemedicine programmes that facilitate non-physician screening may improve the cost efficiency of the health system while maintaining the health outcomes for children, and reducing the risk associated with infant transport.
Keywords: Retinopathy of prematurity; cost-minimisation analysis; decision tree; digital health; digital retinal photography; ophthalmology; pre-term infants; telemedicine.
Similar articles
-
Cost-effectiveness of digital photographic screening for retinopathy of prematurity in the United Kingdom.Int J Technol Assess Health Care. 2004 Spring;20(2):201-13. doi: 10.1017/s0266462304000984. Int J Technol Assess Health Care. 2004. PMID: 15209180
-
Retinopathy of prematurity: the high cost of screening regional and remote infants.Clin Exp Ophthalmol. 2018 Aug;46(6):645-651. doi: 10.1111/ceo.13160. Epub 2018 Mar 4. Clin Exp Ophthalmol. 2018. PMID: 29369477
-
The validity of telemedicine-based screening for retinopathy of prematurity in the Premature Eye Rescue Program in Hungary.J Telemed Telecare. 2021 Jul;27(6):367-375. doi: 10.1177/1357633X19880113. Epub 2019 Oct 23. J Telemed Telecare. 2021. PMID: 31645172
-
Auckland regional telemedicine retinopathy of prematurity screening network: A 10-year review.Clin Exp Ophthalmol. 2019 Dec;47(9):1122-1130. doi: 10.1111/ceo.13593. Epub 2019 Aug 7. Clin Exp Ophthalmol. 2019. PMID: 31313447 Review.
-
The role of retinal photography and telemedicine in ROP screening.Semin Perinatol. 2019 Oct;43(6):367-374. doi: 10.1053/j.semperi.2019.05.010. Epub 2019 May 13. Semin Perinatol. 2019. PMID: 31153621 Review.
Cited by
-
An Interpretable System for Screening the Severity Level of Retinopathy in Premature Infants Using Deep Learning.Bioengineering (Basel). 2024 Aug 5;11(8):792. doi: 10.3390/bioengineering11080792. Bioengineering (Basel). 2024. PMID: 39199750 Free PMC article.
-
Development and Validation of a Deep Learning Model to Predict the Occurrence and Severity of Retinopathy of Prematurity.JAMA Netw Open. 2022 Jun 1;5(6):e2217447. doi: 10.1001/jamanetworkopen.2022.17447. JAMA Netw Open. 2022. PMID: 35708686 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical