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The Manchester School, 76(2), 223–265. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.1467-9957.2007.01058.x\nPérez-López, G., Prior, D., & Zafra-Gómez, J. L. (2018). Temporal scale efficiency in DEA panel data estimations. An application to the solid waste disposal service in Spain. Omega, 76, 18–27. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.omega.2017.03.005\nPodinovski, V. V. (2005). Selective convexity in DEA models. European Journal of Operational Research, 161(2), 552–563. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ejor.2003.09.008\nPrior, D., & Surroca, J. (2010). Performance measurement and achievable targets for public hospitals. Journal of Accounting, Auditing and Finance, 25(4), 749–766. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0148558X1002500411\nRosko, M. D. (2001). Cost efficiency of US hospitals: A stochastic frontier approach. Health Economics, 10(6), 539–551. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fhec.607\nRuiz-Rodriguez, M., Rodriguez-Villamizar, L. A., & Heredia-Pi, I. (2016). Technical efficiency of women’s health prevention programs in bucaramanga, colombia: A four-stage analysis. BMC Health Services Research, 16(1), 576. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12913-016-1837-0\nSimar, L., Wilson P.W. (2008). Statistical inference in nonparametric frontier models: recent developments and perspectives. In: The Measurement of Productive Efficiency and Productivity Change, Oxford University Press, (pp 421–521). https:\u002F\u002Fdoi.org\u002F10.1093\u002Facprof:oso\u002F9780195183528.003.0004\nSimar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136(1), 31–64. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jeconom.2005.07.009\nSimar, L., & Wilson, P. W. (2011). Inference by the m out of n bootstrap in nonparametric frontier models. Journal of Productivity Analysis, 36(1), 33–53. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11123-010-0200-4\nSimar, L., & Zelenyuk, V. (2006). On testing equality of distributions of technical efficiency scores. Econometric Reviews, 25(4), 497–522. https:\u002F\u002Fdoi.org\u002F10.1080\u002F07474930600972582\nSmith, P. C., & Yip, W. (2016). The economics of health system design. Oxford Review of Economic Policy, 32(1), 21–40. https:\u002F\u002Fdoi.org\u002F10.1093\u002Foxrep\u002Fgrv018\nSommersguter-Reichmann, M. (2000). The impact of the Austrian hospital financing reform on hospital productivity: Empirical evidence on efficiency and technology changes using a non-parametric input-based Malmquist approach. Health Care Management Science, 3(4), 309–321. https:\u002F\u002Fdoi.org\u002F10.1023\u002FA:1019022230731\nStaat, M. (2011). Estimating the efficiency of general practitioners controlling for case mix and outlier effects. Empirical Economics, 40(2), 321–342. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00181-009-0335-1\nSurroca, J., Prior, D., & Tribó Giné, J. A. (2016). Using panel data dea to measure CEOs’ focus of attention: An application to the study of cognitive group membership and performance. Strategic Management Journal, 37(2), 370–388. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fsmj.2350\nTulkens H (1986) La performance productive d’un service public. Définitions, méthodes de mesure et application à la Régie des Postes en Belgique. L’Actualité économique 62(2):306, https:\u002F\u002Fdoi.org\u002F10.7202\u002F601373ar\nValdmanis, V., Rosko, M., Mancuso, P., Tavakoli, M., & Farrar, S. (2017). Measuring performance change in Scottish hospitals: A Malmquist and times-series approach. Health Services and Outcomes Research Methodology, 17(2), 113–126. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10742-016-0151-y\nVan Ineveld, M., van Oostrum, J., Vermeulen, R., Steenhoek, A., & van de Klundert, J. (2016). Productivity and quality of Dutch hospitals during system reform. Health Care Management Science, 19(3), 279–290. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10729-015-9321-7\nVarabyova, Y., & Schreyögg, J. (2013). International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches. Health Policy, 112(1–2), 70–79. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.healthpol.2013.03.003\nVillalobos-Cid, M., Chacón, M., Zitko, P., & Inostroza-Ponta, M. (2016). A new strategy to evaluate technical efficiency in hospitals using homogeneous groups of casemix. Journal of Medical Systems, 40(4), 103. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10916-016-0458-9\nWilson, P. W. (1993). Detecting outliers in deterministic nonparametric frontier models with multiple outputs. Journal of Business & Economic Statistics, 11(3), 319–323. https:\u002F\u002Fdoi.org\u002F10.2307\u002F1391956\nWorthington, A. C. (2004). Frontier efficiency measurement in health care: A review of empirical techniques and selected applications. Medical Care Research and Review, 61(2), 135–170. https:\u002F\u002Fdoi.org\u002F10.1177\u002F1077558704263796\nXenos, P., Yfantopoulos, J., Nektarios, M., Polyzos, N., Tinios, P., & Constantopoulos, A. (2017). Efficiency and productivity assessment of public hospitals in Greece during the crisis period 2009–2012. Cost Effectiveness and Resource Allocation, 15(1), 6. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12962-017-0068-5",{"EN":461},"This study aims to assess whether Ecuadorian health reforms carried out since 2008 have affected the efficiency performance of public hospitals in the country. We contribute to the literature by shedding new light on the effects on public healthcare efficiency for developing countries when policies move toward health equity and universal coverage. We follow a two-stage approach, wherein the first stage we make use of factor and cluster analysis to obtain three clusters of public hospitals based on their technological endowment; we exploit Data Envelopment Analysis for panel data in the second stage to estimate robust efficiency measures over time. Our innovative empirical strategy considers the heterogeneity of healthcare institutions in the analysis of their efficiency performance. The results show a significant decrease in the average efficiency of low and intermediate technology hospitals after the new constitution was adopted in 2008. The decline in efficiency coincides with the two reforms of 2010 and 2011 that brought on higher social security coverage.",{"EN":463},"Analyzing the effect of health reforms on the efficiency of Ecuadorian public hospitals",{"VOID":465},"10.1007\u002Fs10754-023-09346-z","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10754-023-09346-z",[468,486],{"id":469,"sortIndex":25,"researcher":24,"roles":470,"affiliations":472,"properties":483},"3e41763e-5c13-4b2d-a37c-6a3c8f1569ad",[471],"AUTHOR",[473],{"id":24,"sortIndex":25,"affiliation":474,"properties":24},{"id":475,"createTime":476,"updateTime":477,"relativeEntities":478,"slug":479,"properties":480,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"06a5b580-5d57-472a-86e3-e8bba0668698","2024-02-10T23:51:41.943+00:00","2025-06-11T19:42:36.907+00:00",[],"Department-of-Applied-Economics-Universitat-Aut%C3%B2noma-de-Barcelona-Barcelona-Spain",{"title":481},{"VI":482},"Department of Applied Economics, Universitat Autònoma de Barcelona, Barcelona, Spain",{"title":484},{"VI":485},"Juan Piedra-Peña",{"id":487,"sortIndex":121,"researcher":24,"roles":488,"affiliations":489,"properties":499},"5bc4536f-94c1-4e34-b844-3e616a251393",[471],[490],{"id":24,"sortIndex":25,"affiliation":491,"properties":24},{"id":492,"createTime":493,"updateTime":493,"relativeEntities":494,"slug":495,"properties":496,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"b9bdec2c-b550-41ec-b97e-5dd8396bff2d","2024-04-11T05:08:39.267+00:00",[],"Department-of-Business-Universitat-Aut%C3%B2noma-de-Barcelona-Barcelona-Spain",{"title":497},{"EN":498},"Department of Business, Universitat Autònoma de Barcelona, Barcelona, Spain",{"title":500},{"VI":501},"Diego Prior",{"url":466,"publisher":503,"properties":533},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":504,"slug":10,"properties":505,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":511,"manageAffiliations":512,"indexDatabases":513,"url":108,"thumbnailPath":24,"statistic":528,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":506,"issn":507,"introduce":508,"eissn":509,"title":510},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[514,521],{"id":68,"indexDatabase":515,"url":81,"indexYears":82,"academicFieldIds":520,"indexDatabaseRanking":86},{"id":70,"createTime":71,"updateTime":72,"relativeEntities":516,"label":517,"description":518,"key":78,"publicationTags":519,"standard":24},[],{"EN":75,"VI":75},{"EN":75,"VI":77},[80],[84,85],{"id":88,"indexDatabase":522,"url":103,"indexYears":24,"academicFieldIds":527,"indexDatabaseRanking":24},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":523,"label":524,"description":525,"key":99,"publicationTags":526,"standard":24},[],{"EN":95,"VI":95},{"VI":97,"EN":98},[101,102],[105,106,107],{"impactFactor":25,"impactFactorByYear":529,"i10Index":25,"i10IndexLast5Year":25,"totalPublication":111,"totalPublicationByYear":530,"totalCitation":25,"totalCitationByYear":531,"totalCitationPerPublication":25,"totalCitationPerPublicationByYear":532,"hindexLast5Year":25,"hindex":25},{},{"2014":113,"2015":114,"2016":115,"2017":116,"2018":117,"2019":118,"2020":117,"2021":119,"2022":120,"2023":115,"2024":121},{},{},{"volume":534,"pages":536},{"VOID":535},"23",{"VOID":537},"361-392","2023-03-16",2023,{"id":541,"createTime":542,"updateTime":543,"relativeEntities":544,"slug":545,"properties":546,"entityType":147,"verifyStatus":148,"verifyTime":543,"verifyNote":150,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"primaryUrl":555,"fullTextUrl":24,"authors":556,"publicationType":208,"publisherRelationship":616,"citationCount":24,"citationInfo":24,"publishDate":652,"publishYear":251,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":452},"51ebfd9a-de3d-4b46-825c-14371149fe0d","2023-12-06T18:52:21.108+00:00","2024-10-09T23:45:56.419+00:00",[],"Quality-of-diabetes-follow-up-care-and-hospital-admissions",{"references":547,"abstract":549,"title":551,"doi":553},{"VOID":548},"Anderson, M., Dobkin, C., & Gross, T. (2012). The effect of health insurance coverage on the use of medical services. American Economic Journal: Economic Policy, 4, 1–27.\nAssogba, F. A. G., Penfornis, F., Detournay, B., Lecomte, P., Bourdel-Marchasson, I., Druet, C., et al. (2013). Facteurs associés à l’hospitalisation des personnes diabétiques adultes en France. Entred 2007. Bulletin Épidémiologique Hebdomadaire, 37–38, 454–63.\nBhattacharyya, S. K., & Else, B. A. (1999). Medical costs of managed care in patients with type 2 diabetes mellitus. Clinical Therapy, 21, 2131–42.\nBottle, A., Millett, C., Xie, Y., Saxena, S., Wachter, R., & Majeed, A. (2008). Quality of primary care and hospital admissions for diabetes mellitus in England. Journal of Ambulatory Care Management, 31, 226–38.\nChen, J. Y., Tian, H., Taira, J. D., Hodges, K. A., Brand, J. C., Chung, R. S., et al. (2010). The effect of a PPO pay-for-performance program on patients with diabetes. The American Journal of Managed Care, 16, e11–e19.\nChevreul, K., Brigham, K. B., & Bouché, C. (2014). The burden and treatment of diabetes in France. Globalization and Health, 10, 6.\nChevreul, K., Durand-Zaleski, I., Bahrami, S., Hernández-Quevedo, C., & Mladovsky, P. (2010). France: Health system review. Health Systems in Transition, 12(6), 1–291.\nClarke, P., Leal, J., Kelman, C., Smith, M., & Colagiuri, S. (2008). Estimating the cost of complications of diabetes in Australia using administrative health-care data. Value Health, 11, 199–206.\nClemens, J., & Gottlieb, J. D. (2014). Do physicians’ financial incentives affect medical treatment and patient health? American Economic Review, 104, 1320–1349.\nDowning, A., Rudge, G., Cheng, Y., Tu, Y. K., Keen, J., & Gilthorpe, M. S. (2007). Do the UK government’s new quality and outcomes framework (QOF) scores adequately measure primary care performance? A cross-sectional survey of routine healthcare data. BMC Health Services Research, 7, 166.\nDusheiko, M., Doran, T., Gravelle, H., Fullwood, C., & Roland, M. (2011). Does higher quality of diabetes management in family practice reduce unplanned hospital admissions? Health Services Research, 46, 27–46.\nEco-Santé. (2015). Accessed May 18, 2015, from http:\u002F\u002Fwww.ecosante.fr\u002F.\nEpstein, A. M., Stern, R. S., & Weissman, J. S. (1990). Do the poor cost more? A multihospital study of patients’ socioeconomic status and use of hospital resources. New England Journal of Medicine, 322, 1122–8.\nFiorentini, G., Iezzi, E., Lippi Bruni, M., & Ugolini, C. (2011). Incentives in primary care and their impact on potentially avoidable hospital admissions. European Journal of Health Economics, 12, 297–309.\nHarrison, M. J., Dusheiko, M., Sutton, M., Gravelle, H., Doran, T., & Roland, M. (2014). Effect of a national primary care pay for performance scheme on emergency hospital admissions for ambulatory care sensitive conditions: Controlled longitudinal study. BMJ, 346, g6423.\nHeaton, P. C., Tundia, N. L., & Luder, H. R. (2013). U.S. emergency department visits resulting from poor medication adherence: 2005–07. Journal of the American Pharmacists Association, 53, 513–9.\nIezzi, E., Lippi Bruni, M., & Ugolini, C. (2014). The role of GP’s compensation schemes in diabetes care: Evidence from panel data. Journal of Health Economics, 34, 104–120.\nINSEE. (2013). Accessed December 17, 2013, from http:\u002F\u002Fwww.insee.fr\u002F.\nJones, A. M. (2000). Health econometrics. In A. J. Culyer & J. P. Newhouse (Eds.), Handbook of health economics. Amsterdam: Elsevier.\nKaestner, R., & Lo Sasso, A. (2014). Does seeing the doctor more often keep you out of the hospital? Journal of Health Economics, 39, 259–72.\nKantarevic, J., & Kralj, B. (2013). Link between pay for performance incentives and physician payment mechanisms: Evidence from the diabetes management incentive in Ontario. Health Economics, 22, 1417–39.\nKhalid, J. M., Raluy-Callado, M., Curtis, B. H., Boye, K. S., Maguire, A., & Reaney, M. (2013). Rates and risk of hospitalisation among patients with type 2 diabetes: Retrospective cohort study using the UK General Practice Research Database linked to English Hospital Episode Statistics. The International Journal of Clinical Practice, 68, 40–8.\nKusnik-Joinville, O., Weill, A., Ricci, P., Ricordeau, P., & Allemand, H. (2009). Motifs et caractéristiques des hospitalisations en 2007 des personnes traitées pour diabète en France. Diabetes & Metabolism, 35(S1), A18.\nLee, T., Cheng, S., Chen, C., & Lai, M. (2010). A pay-for-performance program for diabetes care in Taiwan: A preliminary assessment. American Journal of Managed Care, 16, 65–69.\nLippi Bruni, M., Nobilio, L., & Ugolini, C. (2009). Economic incentives in general practice: The impact of pay for participation and pay for compliance programs on diabetes care. Health Policy, 90, 140–8.\nMalcolm, J. C., Liddy, C., Rowan, M., Maranger, J., Keely, E., Harrison, C., et al. (2008). Transition of patients with type 2 diabetes from specialist to primary care: A survey of primary care physicians on the usefulness of tools for transition. Canadian Journal of Diabetes, 32, 37–45.\nMcCall, D. T., Sauaia, A., Hamman, R. F., Reusch, J. E., & Barton, P. (2004). Are low-income elderly patients at risk for poor diabetes care? Diabetes Care, 27, 1060–5.\nNay, O., Béjean, S., Benamouzig, D., Bergeron, H., Castel, P., & Ventelou, B. (2016). Achieving universal health coverage in France: Policy reforms and the challenge of inequalities. The Lancet, 387, 2236–49.\nNewhouse, J. (1993). Free for all? Lessons from the RAND Health Insurance Experiment. Cambridge, MA: Harvard University Press.\nRicci, P., Chantry, M., Detournay, B., Poutignat, N., Kusnik-Joinville, O., Raimond, V., et al. (2009). Coûts des soins remboursés par l’Assurance maladie aux personnes traitées pour diabète: Études Entred 2001 et 2007. Bulletin Épidémiologique Hebdomadaire, 42–43, 464–9.\nRodwin, V. G. (2003). The health care system under French national health insurance: Lessons for health reform in the United States. American Journal of Public Health., 93, 31–7.\nSaxena, S., George, J., Barber, J., Fitzpatrick, J., & Majeed, A. (2006). Association of population and practice factors with potentially avoidable admission rates for chronic diseases in London: Cross sectional analysis. Journal of the Royal Society of Medicine, 99, 81–9.\nScott, A., Schurer, S., Jensen, P. H., & Sivey, P. (2009). The effects of an incentive program on quality of care in diabetes management. Health Economics, 18, 1091–1108.\nSundmacher, L., & Kopetsch, T. (2015). The impact of office-based care on hospitalizations for ambulatory care sensitive conditions. European Journal of Health Economics, 16, 365–375.",{"EN":550},"Diabetes may lead to severe complications. For this reason, disease prevention and improvement of medical follow-up represent major public health issues. The aim of this study was to measure the impact of adherence to French follow-up guidelines on hospitalization of people with diabetes. We used insurance claims data from the years 2010 to 2013 collected for 52,027 people aged over 18, affiliated to a French social security provider and treated for diabetes. We estimated panel data models to explore the association between adherence to guidelines and different measures of hospitalization, controlling for socioeconomic characteristics, diabetes treatment and density of medical supply. The results show that adherence to four guidelines was associated with a significant decrease in hospital admissions, up to approximatively 30% for patients monitored for a complete lipid profile or microalbuminuria during the year. In addition, our analyses confirmed the strong protective effect of income and a significant positive correlation with good supply of hospital care. In conclusion, good adherence to French diabetes guidelines seems to be in line with the prevention of health events, notably complications, that could necessitate hospitalization.",{"EN":552},"Quality of diabetes follow-up care and hospital admissions",{"VOID":554},"10.1007\u002Fs10754-017-9230-z","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10754-017-9230-z",[557,582,594],{"id":558,"sortIndex":25,"researcher":24,"roles":559,"affiliations":560,"properties":579},"98d7c87b-87d5-4cb6-b8b3-2310c93315b9",[471],[561,569],{"id":24,"sortIndex":25,"affiliation":562,"properties":24},{"id":563,"createTime":564,"updateTime":564,"relativeEntities":565,"slug":24,"properties":566,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"353d0324-e7c2-40a3-8870-dff67d71646e","2024-01-14T21:18:38.882+00:00",[],{"title":567},{"VI":568},"MGEN Foundation for Public Health, Paris Cedex 15, France",{"id":570,"sortIndex":121,"affiliation":571,"properties":578},"e8b9ac6d-28ec-408d-a3ac-f81514802046",{"id":572,"createTime":573,"updateTime":573,"relativeEntities":574,"slug":24,"properties":575,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"750d9ceb-419f-4cf5-b9bc-28bb3352cd83","2023-12-06T18:52:21.131+00:00",[],{"title":576},{"VI":577},"LIRAES (EA 4470), University of Paris Descartes, Paris Cedex 06, France",{},{"title":580},{"VI":581},"L. F. Andrade",{"id":583,"sortIndex":113,"researcher":24,"roles":584,"affiliations":585,"properties":591},"b3cc0235-6ad4-4751-bad9-e59f3a41e8b9",[471],[586],{"id":24,"sortIndex":25,"affiliation":587,"properties":24},{"id":563,"createTime":564,"updateTime":564,"relativeEntities":588,"slug":24,"properties":589,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":590},{"VI":568},{"title":592},{"VI":593},"C. Sevilla-Dedieu",{"id":595,"sortIndex":121,"researcher":24,"roles":596,"affiliations":597,"properties":613},"43326403-c83b-4690-9cb7-28a35954d50c",[471],[598,603],{"id":24,"sortIndex":25,"affiliation":599,"properties":24},{"id":572,"createTime":573,"updateTime":573,"relativeEntities":600,"slug":24,"properties":601,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":602},{"VI":577},{"id":604,"sortIndex":121,"affiliation":605,"properties":612},"5b94bfd2-1d58-4624-bc8a-d80514b8d940",{"id":606,"createTime":607,"updateTime":607,"relativeEntities":608,"slug":24,"properties":609,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"91eb5649-8448-4b00-9f58-d4e643a12e7a","2023-12-06T18:52:21.148+00:00",[],{"title":610},{"VI":611},"Department of Health Policy and Management, Harvard T.H. 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A sudden change in tariffs at a pre-defined point in the treatment can incentivize health care providers to prolong treatment to reach the higher tariff, and then to discharge patients once the higher tariff is reached. The Dutch reimbursement schedule in hospital rehabilitation care follows a two-threshold stepwise-function based on treatment duration. We investigated the prevalence of strategic discharges around the first threshold and assessed whether their share varies by provider type. Our findings suggest moderate response to incentives by traditional care providers (general and academic hospitals, rehabilitation centers and multicategorical providers), and strong response by profit-oriented independent treatment centers. When examining the variation in response based on the financial position of the organization, we found a higher probability of manipulation among providers in financial distress. Our findings provide multiple insights and possible indicators to identify provider types that may be more prone to strategic behavior.",{"EN":951},"Provider responses to discontinuous tariffs: evidence from Dutch rehabilitation care",{"VOID":953},"10.1007\u002Fs10754-021-09322-5","2025-02-04T23:22:33.691+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10754-021-09322-5",[957,972],{"id":958,"sortIndex":25,"researcher":24,"roles":959,"affiliations":960,"properties":969},"05ccbf13-506f-402d-b757-05a8cec644c8",[471],[961],{"id":24,"sortIndex":25,"affiliation":962,"properties":24},{"id":963,"createTime":964,"updateTime":964,"relativeEntities":965,"slug":24,"properties":966,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"632c99bb-174c-4772-bacc-ac7582e94b8a","2023-12-20T19:57:16.822+00:00",[],{"title":967},{"VI":968},"School of Business and Economics, Section Health Economics, Talma Institute\u002FVU University Amsterdam, Amsterdam, The Netherlands",{"title":970},{"VI":971},"Katalin Gaspar",{"id":973,"sortIndex":121,"researcher":24,"roles":974,"affiliations":975,"properties":981},"2ee212bf-4aa7-419d-8377-d544ddd5d755",[471],[976],{"id":24,"sortIndex":25,"affiliation":977,"properties":24},{"id":963,"createTime":964,"updateTime":964,"relativeEntities":978,"slug":24,"properties":979,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":980},{"VI":968},{"title":982},{"VI":983},"Xander Koolman",{"url":955,"publisher":985,"properties":1015},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":986,"slug":10,"properties":987,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":993,"manageAffiliations":994,"indexDatabases":995,"url":108,"thumbnailPath":24,"statistic":1010,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":988,"issn":989,"introduce":990,"eissn":991,"title":992},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[996,1003],{"id":68,"indexDatabase":997,"url":81,"indexYears":82,"academicFieldIds":1002,"indexDatabaseRanking":86},{"id":70,"createTime":71,"updateTime":72,"relativeEntities":998,"label":999,"description":1000,"key":78,"publicationTags":1001,"standard":24},[],{"EN":75,"VI":75},{"EN":75,"VI":77},[80],[84,85],{"id":88,"indexDatabase":1004,"url":103,"indexYears":24,"academicFieldIds":1009,"indexDatabaseRanking":24},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":1005,"label":1006,"description":1007,"key":99,"publicationTags":1008,"standard":24},[],{"EN":95,"VI":95},{"VI":97,"EN":98},[101,102],[105,106,107],{"impactFactor":25,"impactFactorByYear":1011,"i10Index":25,"i10IndexLast5Year":25,"totalPublication":111,"totalPublicationByYear":1012,"totalCitation":25,"totalCitationByYear":1013,"totalCitationPerPublication":25,"totalCitationPerPublicationByYear":1014,"hindexLast5Year":25,"hindex":25},{},{"2014":113,"2015":114,"2016":115,"2017":116,"2018":117,"2019":118,"2020":117,"2021":119,"2022":120,"2023":115,"2024":121},{},{},{"volume":1016,"pages":1018},{"VOID":1017},"22",{"VOID":1019},"333-354","2022-02-01",2022,{"id":1023,"createTime":1024,"updateTime":1025,"relativeEntities":1026,"slug":1027,"properties":1028,"entityType":147,"verifyStatus":148,"verifyTime":1025,"verifyNote":150,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"primaryUrl":1037,"fullTextUrl":24,"authors":1038,"publicationType":208,"publisherRelationship":1093,"citationCount":24,"citationInfo":24,"publishDate":1128,"publishYear":251,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":452},"df7a967f-f7de-4218-a930-eadd9653d85e","2023-12-18T18:41:29.799+00:00","2025-02-06T23:14:08.414+00:00",[],"Combined-social-and-private-health-insurance-versus-catastrophic-out-of-pocket-payments-for-private-hospital-care-in-Greece",{"references":1029,"abstract":1031,"title":1033,"doi":1035},{"VOID":1030},"Adhikari, R., Maskay, N., & Sharma, B. 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Health Policy and Planning, 29(2), 217–226.",{"EN":1032},"The high level of out of pocket (OOP) payments constitutes a major concern for Greece and several other European and OECD countries as a result of the significant down turning of their public health finances due to the 2008 financial crisis. The basic objective of this study is to provide empirical evidence on the effect of combining social health insurance (SHI) and private health insurance (PHI) on OOP payments. Further, this study examines the catastrophic impact of OOP payments on insured’s welfare using the incidence and intensity methodological approach of measuring catastrophic health care expenditures. Conducting a cross-sectional survey in Greece in 2013, we find that the combination of SHI–PHI has a strong negative influence on insured OOP payments for inpatient health care in private hospitals. Furthermore, our results indicate that SHI coverage is not sufficient by itself to manage with this issue. Moreover, we find that poor people present a greater tendency to incur catastrophic OOP expenditures for hospital health care in private providers. Drawing evidence from Greece, a country with huge fiscal problems that has suffered the consequences of the economic crisis more than any other, could be a starting point for policymakers to consider the perspective of SHI–PHI co-operation against OOP payments more seriously.",{"EN":1034},"Combined social and private health insurance versus catastrophic out of pocket payments for private hospital care in 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P., Ilchenko, I., Gorobets, P., & Rogacheva, A. 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Does medication adherence following a copayment increase differ by disease burden? Health Services Research,46(6Pt1), 1963–1985.\nWaters, H. R., Anderson, G. F., & Mays, J. (2004). Measuring financial protection in health in the United States. Health Policy,69, 339–349.",{"EN":1139},"This article examines the effects of socioeconomic position and urban–rural settlement on the distribution of out-of-pocket expenditure (OPE) for health in the Russian Federation. Data comes from 2005 to 2016 waves of the Russian Longitudinal Monitoring Survey. Concentration index reflects changes in the distribution of OPE between the worse-off and the better-off Russians over a 12-year period. Finally, unconditional quantile regression—a recentred influence function approach estimates differential impacts of covariates along the distribution of OPE. OPE is concentrated amongst the better-off Russians in 2016. Urban settlements contribute to top end OPE distribution for the richest and town settlements, at the median for the richest and the poorest. Our model for the analysis is unique in the context of study population, as it marginalises the effect over the distributions of other covariates used in the model.",{"EN":1141},"The distributive fairness of out-of-pocket healthcare expenditure in the Russian 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PharmacoEconomics, 36(7), 733–743.",{"doi":1334},"10.1007\u002Fs40273-018-0619-4",{"id":24,"text":1336,"url":24,"identifiers":1337},"Antoñanzas, F., Juárez-Castellá, C. A., & Rodrí-guez-Ibeas, R. (2019). Pre-approval incentives to promote adoption of personalized medicine: A theoretical approach. Health Economics Review, 9, 28.",{"doi":1338},"10.1186\u002Fs13561-019-0244-8",{"id":24,"text":1340,"url":24,"identifiers":1341},"Barros, P. P. (2011). The simple economics of risk sharing agreements between the NHS and the pharmaceutical industry. Health Economics, 20, 461–470.",{"doi":1342},"10.1002\u002Fhec.1603",{"id":24,"text":1344,"url":24,"identifiers":1345},"Belleflamme, P., & Peitz, M. (2015). Industrial organization: markets and strategies. Cambridge: Cambridge University Press.",{"doi":1346},"10.1017\u002FCBO9781107707139",{"id":24,"text":1348,"url":24,"identifiers":1349},"Bertucci, F., Houlgatte, R., Benziane, A., Granjeaud, S., Adélaïde, J., Tagett, R., et al. (2000). Gene expression profiling of primary breast carcinomas using arrays of candidate genes. Human Molecular Genetics, 9(20), 2981–2991.",{"doi":1350},"10.1093\u002Fhmg\u002F9.20.2981",{"id":24,"text":1352,"url":24,"identifiers":1353},"Bertucci, F., Finetti, P., Cervera, N., Maraninchi, D., Viens, P., & Birnbaum, D. (2006). Gene expression profiling and clinical outcome in breast cancer. Omics, 10(4), 429–443.",{"doi":1354},"10.1089\u002Fomi.2006.10.429",{"id":24,"text":1356,"url":24,"identifiers":1357},"Cournot, A. A. (1838). Recherches sur les principes mathématiques de la théorie des richesses (Researches into the Mathematical Principles of the Theory of Wealth). NT Bacon: Initially published. in French.",{},{"id":24,"text":1359,"url":24,"identifiers":1360},"Danzon, P., & Towse, A. (2002). The economics of gene therapy and pharmacogenetics. Value in Health, 5(1), 5–13.",{"doi":1361},"10.1046\u002Fj.1524-4733.2002.51081.x",{"id":24,"text":1363,"url":24,"identifiers":1364},"Danzon, P., & Towse, A. (2003). Differential pricing for pharmaceuticals: Reconciling access. R&D and patents, International Journal of Healthcare Finance and Economics, 3, 183–205.",{},{"id":24,"text":1366,"url":24,"identifiers":1367},"Danzon, P., Towse, A., & Mestre-Ferrandiz, J. (2015). Value-based differential pricing: Efficient prices for drugs in a global context. Health Economics, 24, 294–301.",{"doi":1368},"10.1002\u002Fhec.3021",{"id":24,"text":1370,"url":24,"identifiers":1371},"Faulkner, E., Annemans, L., Garrison, L., Helfand, M., Holtorf, A.-P., Hornberger, J., et al. (2012). Challenges in the development and reimbursement of personalized medicine-payer and manufacturer perspectives and implications for health economics and outcomes research: A report of the ISPOR Personalized Medicine Special Interest Group. Value in Health, 15(8), 1162–1171.",{"doi":1372},"10.1016\u002Fj.jval.2012.05.006",{"id":24,"text":1374,"url":24,"identifiers":1375},"Garrison, L. P., & Austin, M. F. (2007). The economics of personalized medicine: A model of incentives for value creation and capture. Drug Information Journal: DIJ\u002FDrug Information Association, 41(4), 501–509.",{"doi":1376},"10.1177\u002F009286150704100408",{"id":24,"text":1378,"url":24,"identifiers":1379},"Garrison, L. P., & Towse, A. (2014). Economics of personalized medicine: Pricing and reimbursement policies as a potential barrier to development and adoption, Economics of. In Anthony J. Culyer (Ed.), Encyclopedia of Health Economics (Vol. 2, pp. 484–490). Amsterdam: Elsevier.",{"doi":1380},"10.1016\u002FB978-0-12-375678-7.01210-4",{"id":24,"text":1382,"url":24,"identifiers":1383},"Garrison, L. P., & Towse, A. (2017). Value-based pricing and reimbursement in personalized healthcare: Introduction to the basic health economics. Journal of Personalized Medicine, 7(3), 1–10.",{"doi":1384},"10.3390\u002Fjpm7030010",{"id":24,"text":1386,"url":24,"identifiers":1387},"Goetz, L. H., & Schork, N. J. (2018). Personalized medicine: motivation, challenges, and progress. Fertility and Sterility, 109(6), 952–963.",{"doi":1388},"10.1016\u002Fj.fertnstert.2018.05.006",{"id":24,"text":1390,"url":24,"identifiers":1391},"Hatz, M. H. M., Schremser, K., & Rogowski, W. K. (2014). Is individualized medicine more cost-effective? A systematic review, PharmacoEconomics, 32(5), 443–455.",{},{"id":24,"text":1393,"url":24,"identifiers":1394},"Hendricks-Sturrup, R. M., & Lu, C. Y. (2019). Understanding implementation challenges to genetic testing for familial hypercholesterolemia in the United States. Journal of Personalized Medicine, 9(1), 9.",{"doi":1395},"10.3390\u002Fjpm9010009",{"id":24,"text":1397,"url":24,"identifiers":1398},"Hornberger, J., Cosler, L. E., & Lyman, G. H. (2005). Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymphnode-negative, estrogen-receptor-positive, early-stage breast cancer. American Journal of Managed Care, 11, 313–324.",{},{"id":24,"text":1400,"url":24,"identifiers":1401},"Kirchheiner, J., Bauer, S., Meineke, I., et al. (2002). Impact of CYP2C9 and CYP2C19 polymorphisms on tolbutamide kinetics and the insulin and glucose response in healthy volunteers. Pharmacogenetics, 12(2), 101–109.",{"doi":1402},"10.1097\u002F00008571-200203000-00004",{"id":24,"text":1404,"url":24,"identifiers":1405},"Jørgensen, J. T. (2019). Regulatory Requirements for Companion Diagnostics and Drug-Diagnostic Codevelopment in the United States. In Companion and Complementary Diagnostics (pp. 307–318).  Academic Press.",{"doi":1406},"10.1016\u002FB978-0-12-813539-6.00016-X",{"id":24,"text":1408,"url":24,"identifiers":1409},"Knowles, L., Luth, W., & Bubela, T. (2017). Paving the road to personalized medicine: recommendations on regulatory, intellectual property and reimbursement challenges. Journal of Law and the Biosciences, 4(3), 453–506.",{"doi":1410},"10.1093\u002Fjlb\u002Flsx030",{"id":24,"text":1412,"url":24,"identifiers":1413},"Lam, Y.W. (2013). Scientific challenges and implementation barriers to translation of pharmacogenomics in clinical practice, ISRN pharmacology, Article ID 641089, 17 pages.",{"doi":1414},"10.1155\u002F2013\u002F641089",{"id":24,"text":1416,"url":24,"identifiers":1417},"Lièvre, A., Bachet, J. B., Le Corre, D., et al. (2006). KRAS mutation status is predictive of response to cetuximab therapy in colorectal cancer. Cancer Research, 66(8), 3992–3995.",{"doi":1418},"10.1158\u002F0008-5472.CAN-06-0191",{"id":24,"text":1420,"url":24,"identifiers":1421},"Miller, I., Ashton-Chess, J., Spolders, H., Fert, V., Ferrara, J., et al. (2011). Market access challenges in the EU for high medical value diagnostic tests. Personalized Medicine, 8(2), 137–148.",{"doi":1422},"10.2217\u002Fpme.11.2",{"id":24,"text":1424,"url":24,"identifiers":1425},"O’Donnell, J. C. (2013). Personalized medicine and the role of health economics and outcomes research: Issues, applications, emerging trends, and future research. Value in Health, 16(6), S1–S3.",{"doi":1426},"10.1016\u002Fj.jval.2013.06.004",{"id":24,"text":1428,"url":24,"identifiers":1429},"Postma, M. J., Boersma, C., Vandijck, D., Vegter, S., Le, H. H., & Annemans, L. (2011). Health technology assessments in personalized medicine: illustrations for cost-effectiveness analysis. Expert Review of Pharmacoeconomics and Outcomes Research, 11(4), 367–369.",{"doi":1430},"10.1586\u002Ferp.11.50",{"id":24,"text":1432,"url":24,"identifiers":1433},"Principles for Codevelopment of an In Vitro Companion Diagnostic Device with a Therapeutic Product. Draft Guidance for Industry and Food and Drug Administration Staff. Document issued on: July 15, 2016.",{},{"id":24,"text":1435,"url":24,"identifiers":1436},"Scott Morton, F., & Seabright, P. (2013). Research into biomarkers: how does drug procurement affect the design of clinical trials? Health Management, Policy and Innovation, 1(3), 1–15.",{},{"id":24,"text":1438,"url":24,"identifiers":1439},"Tardif, J. C., Rhainds, D., Brodeur, M., Feroz Zada, Y., Fouodjio, R., Provost, S., et al. (2016). Genotype-dependent effects of dalcetrapib on cholesterol efflux and inflammation: Concordance with clinical outcomes. Circulation: Cardiovascular Genetics, 9(4), 340–348.",{},{"id":24,"text":1441,"url":24,"identifiers":1442},"Towse, A., & Garrison, L. P. (2013). Economic incentives for evidence generation: promoting an efficient path to personalized medicine. Value in Health, 6(6), S39–S43.",{"doi":1443},"10.1016\u002Fj.jval.2013.06.003",{"id":24,"text":1445,"url":24,"identifiers":1446},"Trusheim, M. R., & Berndt, E. R. (2012). Economic challenges and possible policy actions to advance stratified medicine. 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This paper estimated the impact of high-technology procedures on public healthcare expenditure for patients with ischemic heart disease (IHD) in Portugal. The Blinder–Oaxaca decomposition method was applied to Portuguese NHS administrative data for IHD discharges during two periods, 2008–2015 vs. 2002–2007 (N = 434,870). We modelled per episode healthcare expenditures on the introduction of new technologies, adjusting for GDP, patient age, and comorbidities. The per episode healthcare expenditure was significantly higher in 2008–2015 compared to 2002–2007 for IHD discharges. The increase in the use of high-technology procedures contributed to 28.6% of this growth among all IHD patients, and to 18.4%, 6.8%, 11.1%, and 29.2% for acute myocardial infarction, unstable angina, stable angina, and other IHDs, respectively. Changes in the use of stents and embolic protection and\u002For coronary brachytherapy devices were the largest contributors to expenditure growth. High-technology procedures were confirmed as a key driver of public healthcare expenditure growth in Portugal, contributing to more than a quarter of this growth.\u003C\u002Fjats:p>",{"EN":1461},"Contribution of high-technology procedures to public healthcare expenditures: the case of ischemic heart disease in Portugal, 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R. 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Measuring and explaining changing patterns of inequality in institutional deliveries between urban and rural women in Ghana: A decomposition analysis. International Journal for Equity in Health, 18(1), 123. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12939-019-1025-z",{"doi":1622},"10.1186\u002Fs12939-019-1025-z",{"id":24,"text":1624,"url":24,"identifiers":1625},"Austin, S. R., Wong, Y. N., Uzzo, R. G., Beck, J. R., & Egleston, B. L. (2015). Why summary comorbidity measures such as the Charlson comorbidity index and Elixhauser score work. Medical Care, 53(9), e65–e72. https:\u002F\u002Fdoi.org\u002F10.1097\u002FMLR.0b013e318297429c",{"doi":1626},"10.1097\u002FMLR.0b013e318297429c",{"id":24,"text":1628,"url":24,"identifiers":1629},"Bannay, A., Chaignot, C., Blotière, P. O., Basson, M., Weill, A., Ricordeau, P., & Alla, F. (2016). The best use of the Charlson comorbidity index with electronic health care database to predict mortality. Medical Care, 54(2), 188–194. https:\u002F\u002Fdoi.org\u002F10.1097\u002FMLR.0000000000000471",{"doi":1630},"10.1097\u002FMLR.0000000000000471",{"id":24,"text":1632,"url":24,"identifiers":1633},"Barros, P. P. (2012). Health policy reform in tough times: The case of Portugal. Health Policy, 106(1), 17–22. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.healthpol.2012.04.008",{"doi":1634},"10.1016\u002Fj.healthpol.2012.04.008",{"id":24,"text":1636,"url":24,"identifiers":1637},"Bilgel, F., & Tran, K. C. (2013). The determinants of Canadian provincial health expenditures: Evidence from a dynamic panel. Applied Economics, 45(2), 201–212. https:\u002F\u002Fdoi.org\u002F10.1080\u002F00036846.2011.597726",{"doi":1638},"10.1080\u002F00036846.2011.597726",{"id":24,"text":1640,"url":24,"identifiers":1641},"Blinder, A. S. (1973). Wage discrimination: Reduced form and structural estimates. 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Journal of Graduate Medical Education, 2, 260–268.",{"EN":1834},"The U.S. has addressed the opioid crisis using a two-front approach: state regulations limiting opioid prescriptions for acute pain patients, and voluntary federal CDC guidelines on shifting chronic pain patients to lower opioid doses and non-opioids. No opioid policy research to date has accounted for this two-pronged approach in their research design. We develop a theory of physician prescribing behavior under this two-pronged incentive structure. Using the Medical Expenditure Panel Survey, we empirically corroborate the theory: regulations and guidelines have the intended effects of reducing opioid prescriptions for acute and chronic pain, respectively, as well as the predicted unintended effects—income effects cause regulations on acute pain treatment to increase chronic pain opioid prescriptions and the chronic pain treatment guidelines spillover to reduce opioids for acute pain. Moreover, we find that the guidelines worked as intended in terms of the reduced usage, with chronic pain patients shifting to non-opioids and also tapering opioid doses. For those who discontinued opioids under regulations and guidelines, we find no harm in terms of increased work limitations due to pain a year after discontinuing opioids. Finally, we observe an unexplained dichotomy—regulations reduce opioid use by causing fewer new starts, whereas guidelines reduce opioid use by discontinuing current users, with no impact on new starts.",{"EN":1836},"Opioid and non-opioid analgesic prescribing before and after the CDC’s 2016 opioid guideline",{"VOID":1838},"10.1007\u002Fs10754-021-09307-4","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10754-021-09307-4",[1841,1856,1868],{"id":1842,"sortIndex":121,"researcher":24,"roles":1843,"affiliations":1844,"properties":1853},"405063cb-a0fc-4c6a-ac80-4a4f47a44837",[471],[1845],{"id":24,"sortIndex":25,"affiliation":1846,"properties":24},{"id":1847,"createTime":1848,"updateTime":1848,"relativeEntities":1849,"slug":24,"properties":1850,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"c290acd8-fdec-4555-b870-2d65f9cdbed8","2023-12-14T02:42:43.589+00:00",[],{"title":1851},{"VI":1852},"Division of Research and Modeling, Center for Financing, Access, and Cost Trends, Agency for Healthcare Research and Quality, and the McCourt School of Public Policy, Georgetown University, Rockville, USA",{"title":1854},{"VI":1855},"Didem Bernard",{"id":1857,"sortIndex":113,"researcher":24,"roles":1858,"affiliations":1859,"properties":1865},"7c9bdb33-36d1-4a12-bbb8-0428f185f051",[471],[1860],{"id":24,"sortIndex":25,"affiliation":1861,"properties":24},{"id":1847,"createTime":1848,"updateTime":1848,"relativeEntities":1862,"slug":24,"properties":1863,"entityType":53,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":1864},{"VI":1852},{"title":1866},{"VI":1867},"Thomas M. 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