Exploring the effects of population change on the costs of physician services

Denton, Frank T.; Gafni, Amiram; Spencer, Byron G.

doi:10.1016/s0167-6296(02)00013-9

Cited by 29 publications

(25 citation statements)

References 11 publications

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“…However, changes in health care expenditure level also depend on changes of this profile over time [15,16]. Graph 1 displays the profiles computed on our French database for years 1992 and 2000.…”

Section: Introductionmentioning

confidence: 99%

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Health expenditure growth: reassessing the threat of ageing

2006

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In this paper we evaluate the respective effects of demographic change, changes in morbidity and changes in practices on growth in health care expenditures. We use microdata, i.e. representative samples of 3441 and 5003 French individuals observed in 1992 and 2000. Our data provide detailed information about morbidity and allow us to observe three components of expenditures: ambulatory care, pharmaceutical and hospital expenditures. We propose an original microsimulation method to identify the components of the drift observed between 1992 and 2000 in the health expenditure age profile. On the one hand, we find empirical evidence of health improvement at a given age: changes in morbidity induce a downward drift of the profile. On the other hand, the drift due to changes in practices is upward and sizeable. Detailed analysis attributes most of this drift to technological innovation. After applying our results at the macroeconomic level, we find that the rise in health care expenditures due to ageing is relatively small. The impact of changes in practices is 3.8 times larger. Furthermore, changes in morbidity induce savings which more than offset the increase in spending due to population ageing. Copyright © 2006 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

“…Age group 0 corresponds to people age 0-9, age group 10 to people age [10][11][12][13][14][15][16][17][18][19], and so on, until age group 70, which is related to people age 70 and over. As expected, expenditures increase with age.…”

Section: Introductionmentioning

confidence: 99%

Health expenditure growth: reassessing the threat of ageing

2006

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“…among others, by Denton et al (2001), Antolin et al (2001) and by Fuchs (1998. ) Projection of short-term expenditures in Medicare and Medicaid schemes in the USA, prepared by Cutler and Sheiner (1998), is an example of a generalized approach to analysis.…”

Section: Case Network Reports No 77/2008mentioning

confidence: 86%

Development of Scenarios for Health Expenditure in the New EU Member States: Bulgaria, Estonia, Hungary, Poland and Slovakia

2009

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes.You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. licence. www.econstor.eu If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated CASE Network Reports No. 77/2008The views and opinions expressed here reflect the authors' point of view and not necessarily those of CASE Network.The report was prepared as a result of the Ageing, Health Status and Determinants of the Health Expenditure (AHEAD) project carried out under the European Commission 6th framework programme by the ENEPRI network. The contents of this publication is the sole responsibility of the authors and can in no way be taken to reflect the views of the European Union, CASE or other institutions the author may be affiliated to.The publication was financed from a institutional grant extended by Rabobank Polska S.A.Keywords: health care system, demographic projection, health care system revenues and expenditures projection, CEE, NMS Ewa Kocot is an assistant in the Institute of Public Health at Jagiellonian University Medical College (Krakow, Poland). She graduated with a Masters in mathematics from Jagiellonian University. She also completed the postgraduate study of management and administration of public health at the School of Public Health in Krakow. She is especially interested in health indicators and their potential application in healthcare sector financing, modelling and forecasting. These issues were the subject of her recently completed doctoral thesis. AbstractThe report is a result of the Ageing, Health Status and Determinants of Health Expenditure (AHEAD) project within the EC 6 th Framework programme. The objective of the research was to present the model of future health care system revenues and expenditures in selected Central and Eastern European countries (CEE) which are now the New EU Member States, and to discuss projection assumptions and results. Selected countries include Bulgaria, Estonia, Hungary, Poland and Slovakia. The projections are based on methodology adopted in the International Labour Organization (ILO) Social Budget model. The projection examines impact of demographic changes and c...

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“…Par exemple, certaines études américaines ont pu explorer la variation indivi-duelle de l'ensemble des coûts associés à l'utilisation des soins de santé couverts par le régime d'assurance maladie Medicare, qui couvre la majorité des soins prodigués aux Américains âgés de 65 ans et plus (Bierman et collab., 1999 ;Crystal, Johnson, Harman, Sambamoorthi et Kumar, 2000 ;Erdem, 2011 ;Manton, Gu et Lamb, 2006 ;Miller, 2001). D'autres études, canadiennes, se sont intéressées aux coûts associés à la consultation de médecins seulement (Denton, Gafni et Spencer, 2002 ;Finkelstein, 2001). Enfin, les études citées dans la revue systématique de la littérature de Lehnert et collab.…”

Section: Mesurer L'utilisation Des Soins De Santéunclassified

Les coûts des soins de santé chez les aînés avec incapacités au Québec

Boissonneault

Légaré

Décarie

2014

cqd

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Cet article s’intéresse aux déterminants individuels associés à la variation des coûts publics des soins de santé, chez les Québécois de 65 ans et plus vivant en ménage privé et avec incapacités. À l’aide de modèles de régression, la variation des coûts pour la consultation de professionnels de la santé (CCPS) et pour la consommation de produits pharmaceutiques (CCPP) a été analysée en fonction du nombre d’incapacités ainsi que de la nature de celles-ci. Les informations sur l’état de santé et la situation sociodémographique proviennent de l’Enquête québécoise sur les limitations d’activités (EQLA) de 1998 et celles sur les coûts proviennent du Fichier d’inscription des personnes assurées (FIPA) de la Régie de l’assurance maladie du Québec (RAMQ) pour la même année. On remarque que les deux types de coûts augmentent en fonction du nombre d’incapacités. D’autre part, des coûts plus élevés ont été observés chez les personnes présentant une incapacité liée à l’agilité (CCPS), à la mobilité (CCPP) et à la cognition (CCPS et CCPP). Ces observations soulignent l’intérêt de considérer la nature du problème de santé lorsque l’on étudie les déterminants individuels des coûts des soins de santé.The purpose of this paper is to investigate the factors related to the variations of the public healthcare costs at an individual level, for non-institutionalized people of 65 years and older, living in the province of Quebec with at least one type of disability. Log-linear multiple regression models were performed, with physician consultation costs and medication costs as dependent variables. The number of disabilities an individual has, the type of disability, and the main socio-demographic confounders were chosen as independent variables. Information on these independent variables was taken from the 1998 survey Enquête québécoise sur les limitations d’activités, and information on the dependent variables was taken from the dataset of Quebec’s public health insurance program or the same year. Both physician consultation and medication costs were found to be a function of the number of disabilities an individual has. Furthermore, those with an agility disability were linked to higher physician consultation costs, while those with a mobility disability were found to have higher medication costs. Both costs were shown to be higher in the case of a psychiatric disability, which was shown to be particularly true for medication costs. These findings highlight the importance of taking into account the type of disability an individual has, when researching healthcare cost drivers

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Exploring the effects of population change on the costs of physician services

Cited by 29 publications

References 11 publications

Health expenditure growth: reassessing the threat of ageing

Health expenditure growth: reassessing the threat of ageing

Development of Scenarios for Health Expenditure in the New EU Member States: Bulgaria, Estonia, Hungary, Poland and Slovakia

Les coûts des soins de santé chez les aînés avec incapacités au Québec

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