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Evaluating screening policies for the early detection of retinopathy in patients with non‐insulin dependent diabetes

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  • Sally Brailsford
  • Ruth Davies
  • Chris Canning
  • Paul Roderick

Abstract

Retinopathy is a common complication of insulin‐dependent (IDDM) and non‐insulin‐dependent (NIDDM) diabetes, but serious visual loss may be prevented or delayed with sufficiently early diagnosis and treatment. Screening for early signs of retinopathy is clearly beneficial for some people, but there is no established consensus about who should be screened, by whom, by what technique and with what frequency, especially for NIDDM. The model described in this paper simulates the development of eye disease in a population of NIDDM patients and the effects of different screening schemes in terms of years of sight saved and the numbers of people prevented from suffering severe visual loss. The initial results indicate that blanket screening of all NIDDM patients may not be effective. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • Sally Brailsford & Ruth Davies & Chris Canning & Paul Roderick, 1998. "Evaluating screening policies for the early detection of retinopathy in patients with non‐insulin dependent diabetes," Health Care Management Science, Springer, vol. 1(2), pages 115-124, October.
    • Handle: RePEc:kap:hcarem:v:1:y:1998:i:2:p:115-124
    DOI: 10.1023/A:1019086300747
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    Cited by:

    1. Nisha Nataraj & Julie Simmons Ivy & Fay Cobb Payton & Joseph Norman, 2018. "Diabetes and the hospitalized patient," Health Care Management Science, Springer, vol. 21(4), pages 534-553, December.
    2. Brailsford, Sally & Schmidt, Bernd, 2003. "Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation," European Journal of Operational Research, Elsevier, vol. 150(1), pages 19-31, October.
    3. Laura McLay & Christodoulos Foufoulides & Jason Merrick, 2010. "Using simulation-optimization to construct screening strategies for cervical cancer," Health Care Management Science, Springer, vol. 13(4), pages 294-318, December.
    4. Kılıç, Hakan & Güneş, Evrim Didem, 2024. "Patient adherence in healthcare operations: A narrative review," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    5. Marion S. Rauner & Walter J. Gutjahr & Kurt Heidenberger & Joachim Wagner & Joseph Pasia, 2010. "Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies," Operations Research, INFORMS, vol. 58(5), pages 1269-1286, October.

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