False alarm? Estimating the marginal value of health signals
•We study efficiency of response to health signals from mandatory checkups.•Regression discontinuity analysis of diabetes thresholds reveals heterogeneous effects.•Among the general population, utilization increases but no evidence of improved health.•For high risks, medical care increases and healt...
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| Vydáno v: | Journal of public economics Ročník 195; s. 104368 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.03.2021
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| ISSN: | 0047-2727, 1879-2316 |
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| Abstract | •We study efficiency of response to health signals from mandatory checkups.•Regression discontinuity analysis of diabetes thresholds reveals heterogeneous effects.•Among the general population, utilization increases but no evidence of improved health.•For high risks, medical care increases and health outcomes improve, cost-effectively.•Health signals can improve welfare if thresholds are appropriate and follow-up care well targeted.
We investigate the marginal value of information in the context of health signals that people receive after checkups. Although underlying health status is similar for individuals just below and above a clinical threshold, treatments differ according to the checkup signals they receive. For the general population, whereas health warnings about diabetes increase healthcare utilization, health outcomes do not improve. However, among high-risk individuals, outcomes do improve, and improved health is worth its cost. These results indicate that the marginal value of health information depends on setting appropriate thresholds for health warnings and targeting individuals most likely to benefit from follow-up medical care. |
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| AbstractList | •We study efficiency of response to health signals from mandatory checkups.•Regression discontinuity analysis of diabetes thresholds reveals heterogeneous effects.•Among the general population, utilization increases but no evidence of improved health.•For high risks, medical care increases and health outcomes improve, cost-effectively.•Health signals can improve welfare if thresholds are appropriate and follow-up care well targeted.
We investigate the marginal value of information in the context of health signals that people receive after checkups. Although underlying health status is similar for individuals just below and above a clinical threshold, treatments differ according to the checkup signals they receive. For the general population, whereas health warnings about diabetes increase healthcare utilization, health outcomes do not improve. However, among high-risk individuals, outcomes do improve, and improved health is worth its cost. These results indicate that the marginal value of health information depends on setting appropriate thresholds for health warnings and targeting individuals most likely to benefit from follow-up medical care. |
| ArticleNumber | 104368 |
| Author | Nishiyama, Katsuhiko Chen, Brian Iizuka, Toshiaki Eggleston, Karen |
| Author_xml | – sequence: 1 givenname: Toshiaki orcidid: 0000-0002-2991-2922 surname: Iizuka fullname: Iizuka, Toshiaki email: toshi.iizuka@gmail.com organization: Graduate School of Economics, The University of Tokyo, Japan – sequence: 2 givenname: Katsuhiko orcidid: 0000-0002-8530-0314 surname: Nishiyama fullname: Nishiyama, Katsuhiko email: katsu.nishiyama@gmail.com organization: University of North Carolina at Chapel Hill, United States – sequence: 3 givenname: Brian orcidid: 0000-0001-6384-1673 surname: Chen fullname: Chen, Brian email: BCHEN@mailbox.sc.edu organization: University of South Carolina, United States – sequence: 4 givenname: Karen surname: Eggleston fullname: Eggleston, Karen email: karene@stanford.edu organization: Stanford University and NBER, United States |
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| Cites_doi | 10.1161/HYP.0000000000000065 10.1093/qje/qjz023 10.1257/aer.103.7.2875 10.3386/w26363 10.2139/ssrn.600596 10.1016/S0140-6736(98)07019-6 10.2337/dc15-2113 10.1056/NEJMp0708558 10.1016/j.jeconom.2007.05.005 10.1377/hlthaff.2009.0626 10.2337/dc10-1546 10.1016/j.jhealeco.2012.11.007 10.1257/aer.102.6.2826 10.1162/qjec.2010.125.2.591 10.1016/S1440-2440(04)80278-0 10.1210/jc.2019-00731 10.1111/j.2040-1124.2010.00074.x 10.2337/dc07-0885 10.7326/0003-4819-140-9-200405040-00008 10.1007/s13340-010-0006-7 10.1016/j.jhealeco.2019.01.003 10.2337/dc08-zb09 10.1001/jama.2019.6605 10.1111/jdi.12810 10.1016/S0168-8227(00)00187-X 10.7326/0003-4819-142-5-200503010-00007 10.1001/jama.2014.14781 10.3386/w24347 10.1093/qje/qjr042 10.2337/diacare.23.8.1108 10.1093/restud/rdx062 10.1162/003355303321675428 10.1257/aer.103.2.804 10.1186/1478-7547-1-8 10.1056/NEJMp1508270 10.1001/jama.2019.3307 10.1016/j.jhealeco.2015.10.005 10.1001/jama.2017.0029 10.1016/S0140-6736(17)30058-2 10.1056/NEJMp1507485 10.1257/aer.20160945 10.1086/374180 10.1257/jel.48.4.935 10.1136/bmj.39545.585289.25 10.1257/aer.p20171085 10.1093/qje/qjs020 |
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| Keywords | Prevention Health Value I10 Signals Diabetes Information |
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