<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-30T18:02:40Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/38232" metadataPrefix="marc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/38232</identifier><datestamp>2026-02-03T11:09:16Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37953</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Robles-Zurita, José Antonio</subfield>
      <subfield code="e">author</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Hawkins, Neil</subfield>
      <subfield code="e">author</subfield>
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      <subfield code="a">Bouttell, Janet</subfield>
      <subfield code="e">author</subfield>
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      <subfield code="c">2025</subfield>
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      <subfield code="a">Background. We aimed to illustrate that health economists should consider individual heterogeneity when solving the&#xd;
problem of finding the optimal combination of sensitivity and specificity that maximizes the average health utility of&#xd;
a target population in a screening program. Methods. A theoretical framework compares the solution under standard&#xd;
economics of diagnoses to the optimal combination under an endogenous uptake analysis, where screening participation&#xd;
is given by heterogenous health preferences. An applied example used calibrated parameters with real data from&#xd;
the bowel cancer screening program in the United Kingdom. Scenario analyses show how the results would change&#xd;
with parameter values, if disease risk and health utilities were not independent and if screening uptake were not completely&#xd;
determined by health preferences. Results. A general theoretical result states that the endogenous uptake analysis&#xd;
leads to a weakly higher true- and false-positive rate than would be optimal under the standard approach. In the&#xd;
same way, the endogenous solution would lead to a lower uptake rate. The base-case scenario of the applied example&#xd;
illustrates that a screening program using the endogenous solution would generate 21.1% more quality-adjusted lifeyears&#xd;
than when using the standard solution. The scenario analyses show when the endogenous analysis is most&#xd;
valued and that the general result applies for a wide range of situations when theoretical assumptions are relaxed.&#xd;
Limitations. The results obtained are valid under the assumptions made. Analysts should evaluate if those could hold&#xd;
in the applied screening context. Conclusions. Individual heterogeneity and uptake decisions are relevant factors to&#xd;
consider in the problem of finding an optimal combination of sensitivity and specificity for a screening test.</subfield>
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      <subfield code="a">Robles-Zurita JA, Hawkins N, Bouttell J. Leveling up: Treating Uptake as Endogenous May Increase the Value of Screening Programs. Medical Decision Making. 2025;45(3):318-331. doi:10.1177/0272989X251319794</subfield>
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      <subfield code="a">https://hdl.handle.net/10630/38232</subfield>
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   <datafield ind1="8" ind2=" " tag="024">
      <subfield code="a">10.1177/0272989X251319794</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Política sanitaria - Aspectos económicos</subfield>
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   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Leveling up: Treating Uptake as Endogenous May Increase the Value of Screening Programs.</subfield>
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