Publication

Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected

de Graaf, G., Postmus, D., Bakker, S. J. L. & Buskens, E., Sep-2015, In : Journal of Clinical Epidemiology. 68, 9, p. 1010-1018 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

de Graaf, G., Postmus, D., Bakker, S. J. L., & Buskens, E. (2015). Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected. Journal of Clinical Epidemiology, 68(9), 1010-1018. https://doi.org/10.1016/j.jclinepi.2015.05.019

Author

de Graaf, Gimon ; Postmus, Douwe ; Bakker, Stephan J. L. ; Buskens, Erik. / Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected. In: Journal of Clinical Epidemiology. 2015 ; Vol. 68, No. 9. pp. 1010-1018.

Harvard

de Graaf, G, Postmus, D, Bakker, SJL & Buskens, E 2015, 'Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected', Journal of Clinical Epidemiology, vol. 68, no. 9, pp. 1010-1018. https://doi.org/10.1016/j.jclinepi.2015.05.019

Standard

Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected. / de Graaf, Gimon; Postmus, Douwe; Bakker, Stephan J. L.; Buskens, Erik.

In: Journal of Clinical Epidemiology, Vol. 68, No. 9, 09.2015, p. 1010-1018.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

de Graaf G, Postmus D, Bakker SJL, Buskens E. Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected. Journal of Clinical Epidemiology. 2015 Sep;68(9):1010-1018. https://doi.org/10.1016/j.jclinepi.2015.05.019


BibTeX

@article{1f0c84b42f1745969ec0f808bbf0ec7a,
title = "Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected",
abstract = "Objectives: To provide insight into the trade-off between cost per case detected (CPCD) and the detection rate in questionnaire-based stepwise screening for impaired fasting glucose and undiagnosed type 2 diabetes.Study Design and Setting: We considered a stepwise screening in which individuals whose risk score exceeds a predetermined cutoff value arc invited for further blood glucose testing. Using individual patient data to determine questionnaire sensitivity and specificity and external sources to determine screening costs and patient response rates, we rolled back a decision tree to estimate the CPCD and the detection rate for all possible cutoffs on the questionnaire.Results: We found a U-shaped relation between CPCD and detection rate, with high costs per case detected at very low and very high detection rates. Changes in patient response rates had a large impact on both the detection rate and the CPCD, whereas screening costs and questionnaire accuracy mainly impacted the CPCD.Conclusion: Our applied method makes it possible to identify a range of efficient cutoffs where higher detection rates can be achieved at an additional cost per detected patient. This enables decision makers to choose an optimal cutoff based on their willingness to pay for additional detected patients. (C) 2015 Elsevier Inc. All rights reserved.",
keywords = "Screening, Decision analysis, Primary prevention, Technology assessment, Health services research, Diabetes mellitus, Type 2, Prediabetic state, RISK SCORE, LIFE-STYLE, PREVENTION, INDIVIDUALS, IMPLEMENTATION, INTERVENTION, STRATEGIES, ADULTS, TOOLS, CARE",
author = "{de Graaf}, Gimon and Douwe Postmus and Bakker, {Stephan J. L.} and Erik Buskens",
year = "2015",
month = "9",
doi = "10.1016/j.jclinepi.2015.05.019",
language = "English",
volume = "68",
pages = "1010--1018",
journal = "Journal of Clinical Epidemiology",
issn = "0895-4356",
publisher = "ELSEVIER SCIENCE INC",
number = "9",

}

RIS

TY - JOUR

T1 - Design of stepwise screening for prediabetes and type 2 diabetes based on costs and cases detected

AU - de Graaf, Gimon

AU - Postmus, Douwe

AU - Bakker, Stephan J. L.

AU - Buskens, Erik

PY - 2015/9

Y1 - 2015/9

N2 - Objectives: To provide insight into the trade-off between cost per case detected (CPCD) and the detection rate in questionnaire-based stepwise screening for impaired fasting glucose and undiagnosed type 2 diabetes.Study Design and Setting: We considered a stepwise screening in which individuals whose risk score exceeds a predetermined cutoff value arc invited for further blood glucose testing. Using individual patient data to determine questionnaire sensitivity and specificity and external sources to determine screening costs and patient response rates, we rolled back a decision tree to estimate the CPCD and the detection rate for all possible cutoffs on the questionnaire.Results: We found a U-shaped relation between CPCD and detection rate, with high costs per case detected at very low and very high detection rates. Changes in patient response rates had a large impact on both the detection rate and the CPCD, whereas screening costs and questionnaire accuracy mainly impacted the CPCD.Conclusion: Our applied method makes it possible to identify a range of efficient cutoffs where higher detection rates can be achieved at an additional cost per detected patient. This enables decision makers to choose an optimal cutoff based on their willingness to pay for additional detected patients. (C) 2015 Elsevier Inc. All rights reserved.

AB - Objectives: To provide insight into the trade-off between cost per case detected (CPCD) and the detection rate in questionnaire-based stepwise screening for impaired fasting glucose and undiagnosed type 2 diabetes.Study Design and Setting: We considered a stepwise screening in which individuals whose risk score exceeds a predetermined cutoff value arc invited for further blood glucose testing. Using individual patient data to determine questionnaire sensitivity and specificity and external sources to determine screening costs and patient response rates, we rolled back a decision tree to estimate the CPCD and the detection rate for all possible cutoffs on the questionnaire.Results: We found a U-shaped relation between CPCD and detection rate, with high costs per case detected at very low and very high detection rates. Changes in patient response rates had a large impact on both the detection rate and the CPCD, whereas screening costs and questionnaire accuracy mainly impacted the CPCD.Conclusion: Our applied method makes it possible to identify a range of efficient cutoffs where higher detection rates can be achieved at an additional cost per detected patient. This enables decision makers to choose an optimal cutoff based on their willingness to pay for additional detected patients. (C) 2015 Elsevier Inc. All rights reserved.

KW - Screening

KW - Decision analysis

KW - Primary prevention

KW - Technology assessment

KW - Health services research

KW - Diabetes mellitus

KW - Type 2

KW - Prediabetic state

KW - RISK SCORE

KW - LIFE-STYLE

KW - PREVENTION

KW - INDIVIDUALS

KW - IMPLEMENTATION

KW - INTERVENTION

KW - STRATEGIES

KW - ADULTS

KW - TOOLS

KW - CARE

U2 - 10.1016/j.jclinepi.2015.05.019

DO - 10.1016/j.jclinepi.2015.05.019

M3 - Article

VL - 68

SP - 1010

EP - 1018

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

SN - 0895-4356

IS - 9

ER -

ID: 23955555