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A response to Sculpher and Gafni, Health Economics, 11, 649, 10.1002\u002Fhec.735",{"doi":840},"10.1002\u002Fhec.735",{"id":24,"text":842,"url":24,"identifiers":843},"Robinson, 2006, Exploring challenges to TTO utilities: Valuing states worse than dead, Health Economics, 15, 393, 10.1002\u002Fhec.1069",{"doi":844},"10.1002\u002Fhec.1069",{"id":24,"text":846,"url":24,"identifiers":847},"Rowen, 2014, A comparison of methods for converting DCE values onto the Full Health-Dead QALY Scale, Medical Decision Making, 35, 328, 10.1177\u002F0272989X14559542",{"doi":848},"10.1177\u002F0272989X14559542",{"id":24,"text":850,"url":24,"identifiers":851},"Ryan, 2008, Using discrete choice experiments to value health and health care, 10.1007\u002F978-1-4020-5753-3",{"doi":852},"10.1007\u002F978-1-4020-5753-3",{"id":24,"text":854,"url":24,"identifiers":855},"Sculpher, 2001, Recognising diversity in public preferences: The use of preference sub-groups in cost-effectiveness analysis, Health Economics, 10, 314, 10.1002\u002Fhec.592",{"doi":856},"10.1002\u002Fhec.592",{"id":24,"text":858,"url":24,"identifiers":859},"Shah, 2013, One-to-one versus group settings for conducting computer assisted TTO studies: Findings from pilot studies in England and the Netherlands, European Journal of Health Economics, 14, S65, 10.1007\u002Fs10198-013-0509-9",{"doi":860},"10.1007\u002Fs10198-013-0509-9",{"id":24,"text":862,"url":24,"identifiers":863},"Szende, 2007, EQ-5D value sets: Inventory, comparative review and user guide, 10.1007\u002F1-4020-5511-0",{"doi":864},"10.1007\u002F1-4020-5511-0",{"id":24,"text":866,"url":24,"identifiers":867},"Tilling, 2010, TTO valuations of health states worse than dead: A literature review and conceptual framework for systematic analysis, Medical Decision Making, 30, 610, 10.1177\u002F0272989X09357475",{"doi":868},"10.1177\u002F0272989X09357475",{"id":24,"text":870,"url":24,"identifiers":871},"Hout, 2012, Interim scoring for the EQ-5D-5L: Mapping the EQ-5D-5L to EQ-5D-3L value sets, Value in Health, 15, 708, 10.1016\u002Fj.jval.2012.02.008",{"doi":872},"10.1016\u002Fj.jval.2012.02.008",{"id":24,"text":874,"url":24,"identifiers":875},"Versteegh, 2016, Dutch tariff for the five-level version of EQ-5D, Value in Health, 19, 343, 10.1016\u002Fj.jval.2016.01.003",{"doi":876},"10.1016\u002Fj.jval.2016.01.003",{"id":24,"text":878,"url":24,"identifiers":879},"Wailoo, 2010, The incorporation of health benefits in CUA using EQ-5D",{},{"id":24,"text":881,"url":24,"identifiers":882},"Xie, 2015, A checklist for reporting valuation studies of multi-attribute utility-based instruments (CREATE), PharmacoEconomics, 33, 867, 10.1007\u002Fs40273-015-0292-9",{"doi":883},"10.1007\u002Fs40273-015-0292-9",{"id":24,"text":885,"url":24,"identifiers":886},"Xie, 2016, A time trade-off-derived value set of the EQ-5D-5L for Canada, Medical Care, 54, 98, 10.1097\u002FMLR.0000000000000447",{"doi":887},"10.1097\u002FMLR.0000000000000447",{"id":889,"createTime":890,"updateTime":890,"relativeEntities":891,"slug":892,"properties":893,"entityType":125,"verifyStatus":126,"verifyTime":890,"verifyNote":127,"languages":906,"translateLanguages":24,"viewCount":25,"primaryUrl":907,"fullTextUrl":24,"authors":908,"publicationType":153,"publisherRelationship":1019,"citationCount":1072,"citationInfo":1073,"publishDate":1081,"publishYear":1074,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1082,"openAccess":24,"references":1083,"isForceReanalyzing":290},"081c2b49-a0ab-4792-a598-6ca155c88893","2025-02-01T11:18:04.027+00:00",[],"Nothing-About-Us-Without-Us-A-Comparison-of-Adolescent-and-Adult-Health-State-Values-for-the-Child-Health-Utility-9D-Using-Profile-Case-Best-Worst-Scaling",{"openalex":894,"mag":896,"abstract":898,"title":900,"pm":902,"doi":904},{"VOID":895},"W1537885844",{"VOID":897},"1537885844",{"EN":899},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>The main objective of this study was to compare and contrast adolescent and adult values for the Child Health Utility‐9D (CHU9D), a new generic preference‐based measure of health‐related quality of life designed for application in the economic evaluation of treatment and preventive programmes for children and adolescents. Previous studies have indicated that there may be systematic differences in adolescent and adult values for identical health states. An online survey including a series of best–worst scaling discrete choice experiment questions for health states defined by the CHU9D was administered to two general population samples comprising adults and adolescents, respectively. The results highlight potentially important age‐related differences in the values attached to CHU9D dimensions. Adults, in general, placed less weight upon impairments in mental health (worried, sad, annoyed) and more weight upon moderate to severe levels of pain relative to adolescents. The source of values (adults or adolescents) has important implications for economic evaluation and may impact significantly upon healthcare policy. Copyright © 2015 John Wiley &amp; Sons, Ltd.\u003C\u002Fjats:p>",{"EN":901},"Nothing About Us Without Us? 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Using the community‐year‐level presence of Western fast‐food outlets, difference‐in‐differences estimations find a 4.8‐percentage‐point increase in the prevalence of overweight\u002Fobese children after controlling for child and year fixed effects. The effect decreases at a distance of 3–4 km from a fast‐food restaurant, and we find no further weight gain 2 years after the restaurant's introduction. The underweight rate is not affected by fast‐food introduction. The increase in fat share of energy intake serves as the channel for weight gain. Children in high‐income families, younger than 11 years, and girls are more affected than other Chinese children.\u003C\u002Fjats:p>",{"EN":1207},"The curse of modernization? 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Zhu 2011 Zhong Guo Zheng Quan Qi Huo [Securities & Futures of China] 77 78",{},{"id":1531,"createTime":1532,"updateTime":1532,"relativeEntities":1533,"slug":1534,"properties":1535,"entityType":125,"verifyStatus":126,"verifyTime":1548,"verifyNote":127,"languages":1549,"translateLanguages":24,"viewCount":25,"primaryUrl":1550,"fullTextUrl":24,"authors":1551,"publicationType":153,"publisherRelationship":1571,"citationCount":1624,"citationInfo":1625,"publishDate":1628,"publishYear":1626,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1629,"openAccess":24,"references":1630,"isForceReanalyzing":290},"4e3e1e37-8220-4b90-a93b-a3a36dec3e26","2025-01-06T21:12:41.117+00:00",[],"Do-competition-and-managed-care-improve-quality-",{"openalex":1536,"mag":1538,"abstract":1540,"title":1542,"pm":1544,"doi":1546},{"VOID":1537},"W2066872582",{"VOID":1539},"2066872582",{"EN":1541},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>In recent years, the US health care industry has experienced a rapid growth of managed care, formation of networks, and an integration of hospitals. This paper provides new insights about the quality consequences of this dynamic in US hospital markets. I empirically investigate the impact of managed care and hospital competition on quality using in‐hospital complications as quality measures. I use random and fixed effects, and instrumental variable fixed effect models using hospital panel data from up to 16 states in the 1992–1997 period. The paper has two important findings: First, higher managed care penetration increases the quality, when inappropriate utilization, wound infections and adverse\u002Fiatrogenic complications are used as quality indicators. For other complication categories, coefficient estimates are statistically insignificant. These findings do not support the straightforward view that increases in managed care penetration are associated with decreases in quality. Second, both higher hospital market share and market concentration are associated with lower quality of care. Hospital mergers have undesirable quality consequences. Appropriate antitrust policies towards mergers should consider not only price and cost but also quality impacts. 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We use data from 2002 to 2010 to compare changes in receipt of mammograms and Pap tests in Massachusetts relative to other New England states. We also consider the effect specifically among low‐income women. We find positive effects of Massachusetts health reform on cancer screening, suggesting a 4 to 5% increase in mammograms and 6 to 7% increase in Pap tests annually. Increases in both breast and cervical cancer screening are larger 3 years after the implementation of reform than in the year immediately following, suggesting that there may be an adjustment or learning period. Low‐income women experience greater increases in breast and cervical cancer screening than the overall population; among women with household income less than 250% of the federal poverty level, mammograms increase by approximately 8% and Pap tests by 9%. Overall, Massachusetts health reform appears to have increased breast and cervical cancer screening, particularly among low‐income women. Our results suggest that reform was successful in promoting preventive care among targeted populations. Copyright © 2015 John Wiley &amp; Sons, Ltd.\u003C\u002Fjats:p>",{"EN":1804},"The Impact of Near‐Universal Insurance Coverage on Breast and Cervical Cancer Screening: Evidence from Massachusetts",{"VOID":1806},"25693869",{"VOID":1808},"10.1002\u002Fhec.3159","2024-12-30T23:34:02.138+00:00",[129],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1002\u002Fhec.3159",[1813,1832],{"id":1814,"sortIndex":25,"researcher":24,"roles":1815,"affiliations":1816,"properties":1825,"displayName":1829,"givenName":24,"familyName":24},"1f8f7a96-2471-4ac3-a16f-28be1fc3f847",[],[1817],{"id":1818,"sortIndex":25,"affiliation":1819,"properties":24},"6ae161b4-38a5-4df5-b0ac-ce1296a95415",{"id":1818,"createTime":24,"updateTime":24,"relativeEntities":1820,"slug":24,"properties":1821,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1824,"statistic":24},[],{"title":1822},{"EN":1823},"Department of Healthcare Policy and Research, Virginia Commonwealth University, Richmond, VA, USA",[],{"orcid":1826,"title":1828,"openalex":1830},{"VOID":1827},"https:\u002F\u002Forcid.org\u002F0000-0002-0613-4929",{"EN":1829},"Lindsay M. 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The magnitude of this divergence, however, depends upon how realistic and believable the contingent market is. This paper presents an overview of five key aspects in the construction of the contingent market: (i) scenario development and presentation; (ii) payment vehicle; (iii) expression of risk; (iv) time period of valuation; and (v) survey administration. CV studies in health care since 1985, totalling 111, are critically reviewed with respect to these five aspects. It is concluded that CV studies in health care have performed poorly in the construction, specification and presentation of the contingent market, and that there has been little, if any, improvement in this respect over the last 15 years. Suggestions are made concerning why this may be the case, and how the construction of the contingent market may be improved in future. 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Land Transport Division Ministry of Transport Wellington New Zealand 1991.",{},{"id":24,"text":2386,"url":24,"identifiers":2387},"10.1177\u002F0272989X8400400207",{"doi":2386},{"id":24,"text":2389,"url":24,"identifiers":2390},"Schoemaker PJH, 1982, The expected utility model: its variants, purposes, evidence and limitations, J Econ Lit, 20, 529",{},{"id":24,"text":2392,"url":24,"identifiers":2393},"10.1126\u002Fscience.7455683",{"doi":2392},{"id":24,"text":2395,"url":24,"identifiers":2396},"10.1056\u002FNEJM198205273062103",{"doi":2395},{"id":24,"text":2398,"url":24,"identifiers":2399},"10.1016\u002F0895-4356(93)90011-O",{"doi":2398},{"id":24,"text":2401,"url":24,"identifiers":2402},"Jones‐Lee MW, 1989, The Economics of Safety and Physical Risk",{},{"id":24,"text":2404,"url":24,"identifiers":2405},"Arrow K, 1993, Report of the NOAA panel of contingent valuation, Fed Regist, 58, 4601",{},{"id":24,"text":2407,"url":24,"identifiers":2408},"10.1016\u002F0014-2921(72)90001-3",{"doi":2407},{"id":24,"text":2410,"url":24,"identifiers":2411},"10.2307\u002F3146172",{"doi":2410},{"id":24,"text":2413,"url":24,"identifiers":2414},"10.1016\u002F0095-0696(80)90018-2",{"doi":2413},{"id":24,"text":2416,"url":24,"identifiers":2417},"10.2307\u002F1240202",{"doi":2416},{"id":24,"text":2419,"url":24,"identifiers":2420},"Brookshire DS, 1981, Advances in Applied Microeconomics",{},{"id":24,"text":2422,"url":24,"identifiers":2423},"10.2307\u002F1241209",{"doi":2422},{"id":24,"text":2425,"url":24,"identifiers":2426},"10.2307\u002F1880746",{"doi":2425},{"id":24,"text":2428,"url":24,"identifiers":2429},"10.1016\u002FS0167-4870(98)00004-X",{"doi":2428},{"id":24,"text":2431,"url":24,"identifiers":2432},"Cummings RG, 1986, Valuing Environmental Goods: An Assessment of the Contingent Valuation Method",{},{"id":24,"text":2434,"url":24,"identifiers":2435},"10.1016\u002F0167-6296(93)90006-Z",{"doi":2434},{"id":24,"text":2437,"url":24,"identifiers":2438},"DonaldsonC ThomasR TorgersonDJ.Open‐ended versus payment scale approaches to eliciting willingness to pay. Discussion paper 01\u002F95 Health Economics Research Unit Departments of Public Health and Economics University of Aberdeen Aberdeen 1995.",{},{"id":24,"text":505,"url":24,"identifiers":2440},{},{"id":24,"text":2442,"url":24,"identifiers":2443},"10.1002\u002F1099-1050(200101)10:1\u003C39::AID-HEC563>3.0.CO;2-E",{"doi":2442},{"id":24,"text":2445,"url":24,"identifiers":2446},"10.2105\u002FAJPH.76.4.392",{"doi":2445},{"id":24,"text":2448,"url":24,"identifiers":2449},"Thompson MS, 1982, Values and Long Term Care",{},{"id":24,"text":2451,"url":24,"identifiers":2452},"10.4159\u002Fharvard.9780674436848",{"doi":2451},{"id":24,"text":2454,"url":24,"identifiers":2455},"10.1007\u002F978-1-4899-0445-4_9",{"doi":2454},{"id":24,"text":2457,"url":24,"identifiers":2458},"10.2307\u002F1914185",{"doi":2457},{"id":24,"text":2460,"url":24,"identifiers":2461},"10.1146\u002Fannurev.eg.01.110176.003213",{"doi":2460},{"id":24,"text":2463,"url":24,"identifiers":2464},"10.1017\u002FCBO9780511582424",{"doi":2463},{"id":24,"text":2466,"url":24,"identifiers":2467},"10.2307\u002F2297712",{"doi":2466},{"id":24,"text":2469,"url":24,"identifiers":2470},"Arrow K, 1994, Natural resource damage assessments: proposed rules, Fed Regist, 59, 1062",{},{"id":2472,"createTime":2473,"updateTime":2473,"relativeEntities":2474,"slug":2475,"properties":2476,"entityType":125,"verifyStatus":126,"verifyTime":2473,"verifyNote":127,"languages":2489,"translateLanguages":24,"viewCount":25,"primaryUrl":2490,"fullTextUrl":24,"authors":2491,"publicationType":153,"publisherRelationship":2511,"citationCount":2562,"citationInfo":2563,"publishDate":2565,"publishYear":2281,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":2566,"openAccess":24,"references":2567,"isForceReanalyzing":290},"9d8e9ac0-4c70-4ab0-82bc-a4704f180d3d","2024-12-02T23:07:05.037+00:00",[],"Does-it-matter-who-you-are-or-what-you-gain-an-experimental-study-of-preferences-for-resource-allocation",{"openalex":2477,"mag":2479,"abstract":2481,"title":2483,"pm":2485,"doi":2487},{"VOID":2478},"W2139381885",{"VOID":2480},"2139381885",{"EN":2482},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>Using an experimental conjoint‐analysis like approach, preferences for resource allocation were studied. An interactive survey was developed which was published in the World Wide Web. A convenience sample of undergraduate students participated in the study. Subjects were confronted with nine pairwise scenarios describing hypothetical patient groups in need of life‐saving treatments. The patient groups presented differed in terms of their health‐related lifestyle, socioeconomic status, age, life expectancy, quality of life after treatment and whether they had received extensive medical care in the past. Participants were asked to allocate a finite budget to each patient group. All attributes used in this study significantly influenced respondents' preferences on how to allocate the budget between patient groups. The general importance of attributes used in the QALY approach is supported by this study with quality of life being a central criterion. The distributional patterns observed were, however, different from those expected when rigorously adhering to the QALY framework: In only a very small fraction of allocations subjects distributed the entire budget strictly on the patient group expecting the highest QALY gain. The vast majority of responders was willing to trade efficiency for a more equal distribution of resources. The approach dsecribed can be used to analyze the importance people place on different attributes in resource allocation decisions and to study preferences for the final distribution of resources. 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