Jose A Robles-Zurita, Neil Hawkins, Janet Bouttell
{"title":"Leveling up: Treating Uptake as Endogenous May Increase the Value of Screening Programs.","authors":"Jose A Robles-Zurita, Neil Hawkins, Janet Bouttell","doi":"10.1177/0272989X251319794","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We aimed to illustrate that health economists should consider individual heterogeneity when solving the problem of finding the optimal combination of sensitivity and specificity that maximizes the average health utility of a target population in a screening program.</p><p><strong>Methods: </strong>A theoretical framework compares the solution under standard economics of diagnoses to the optimal combination under an endogenous uptake analysis, where screening participation is given by heterogenous health preferences. An applied example used calibrated parameters with real data from the bowel cancer screening program in the United Kingdom. Scenario analyses show how the results would change with parameter values, if disease risk and health utilities were not independent and if screening uptake were not completely determined by health preferences.</p><p><strong>Results: </strong>A general theoretical result states that the endogenous uptake analysis leads to a weakly higher true- and false-positive rate than would be optimal under the standard approach. In the same way, the endogenous solution would lead to a lower uptake rate. The base-case scenario of the applied example illustrates that a screening program using the endogenous solution would generate 21.1% more quality-adjusted life-years than when using the standard solution. The scenario analyses show when the endogenous analysis is most valued and that the general result applies for a wide range of situations when theoretical assumptions are relaxed.</p><p><strong>Limitations: </strong>The results obtained are valid under the assumptions made. Analysts should evaluate if those could hold in the applied screening context.</p><p><strong>Conclusions: </strong>Individual heterogeneity and uptake decisions are relevant factors to consider in the problem of finding an optimal combination of sensitivity and specificity for a screening test.</p><p><strong>Highlights: </strong>The value of screening programs can be higher if heterogeneity of preferences in the target population is considered.The optimal operation of a screening test depends on health utilities of the target population and on the heterogeneity of these health utilities.Under heterogeneity of health utilities, the optimal operation of a screening test does not maximize screening uptake.A general theoretical result states that the endogenous uptake analysis leads to a weakly higher true- and false-positive rate than would be optimal under a standard approach; this is true for a wide range of situations.</p>","PeriodicalId":49839,"journal":{"name":"Medical Decision Making","volume":" ","pages":"272989X251319794"},"PeriodicalIF":3.1000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Decision Making","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/0272989X251319794","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: We aimed to illustrate that health economists should consider individual heterogeneity when solving the problem of finding the optimal combination of sensitivity and specificity that maximizes the average health utility of a target population in a screening program.
Methods: A theoretical framework compares the solution under standard economics of diagnoses to the optimal combination under an endogenous uptake analysis, where screening participation is given by heterogenous health preferences. An applied example used calibrated parameters with real data from the bowel cancer screening program in the United Kingdom. Scenario analyses show how the results would change with parameter values, if disease risk and health utilities were not independent and if screening uptake were not completely determined by health preferences.
Results: A general theoretical result states that the endogenous uptake analysis leads to a weakly higher true- and false-positive rate than would be optimal under the standard approach. In the same way, the endogenous solution would lead to a lower uptake rate. The base-case scenario of the applied example illustrates that a screening program using the endogenous solution would generate 21.1% more quality-adjusted life-years than when using the standard solution. The scenario analyses show when the endogenous analysis is most valued and that the general result applies for a wide range of situations when theoretical assumptions are relaxed.
Limitations: The results obtained are valid under the assumptions made. Analysts should evaluate if those could hold in the applied screening context.
Conclusions: Individual heterogeneity and uptake decisions are relevant factors to consider in the problem of finding an optimal combination of sensitivity and specificity for a screening test.
Highlights: The value of screening programs can be higher if heterogeneity of preferences in the target population is considered.The optimal operation of a screening test depends on health utilities of the target population and on the heterogeneity of these health utilities.Under heterogeneity of health utilities, the optimal operation of a screening test does not maximize screening uptake.A general theoretical result states that the endogenous uptake analysis leads to a weakly higher true- and false-positive rate than would be optimal under a standard approach; this is true for a wide range of situations.
期刊介绍:
Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.