Effects of age, birth cohort and period of death on Swiss cancer mortality, 1951-1984.

Swiss death certification data over the period 1951-1984 for total cancer mortality and 30 major cancer sites in the population aged 25 to 74 years were analysed using a log-linear Poisson model with arbitrary constraints on the parameters to isolate the effects of birth cohort, calendar period of death and age. The overall pattern of total cancer mortality in males was stable for period values and showed some moderate decreases in cohort values restricted to the generations born after 1930. Cancer mortality trends were more favourable in females, with steady, though moderate, declines in both cohort and period values. According to the estimates from the model, the worst affected generation for male lung cancer was that born around 1910, and a flattening of trends or some moderate decline was observed for more recent cohorts, although this decline was considerably more limited than in other European countries. There were decreases in cohort and period values for stomach, intestine and oesophageal cancer in both sexes and (cervix) uteri in females. Increases were observed in both cohort and period trends for pancreas and liver in males and for several other neoplasms, including prostate, brain, leukaemias and lymphomas, restricted, however, for the latter sites, to the earlier cohorts and hence partly attributable to improved diagnosis and certification in the elderly. Although age values for lung cancer in females were around 10-times lower than in males, upward trends in female lung cancer cohort values were observed in subsequent cohorts and for period values from the late 1960's onwards. Therefore, future trends in female lung cancer mortality should continue to be monitored. The application of these age/period/cohort models thus provides a summary guide for the reading and interpretation of cancer mortality trends, although it cannot replace careful inspection of single age-specific rates.

Concurrence et régulation dans le secteur hospitalier

Pour mettre en évidence le rôle respectif de la concurrence et de la régulation, cet article traitera essentiellement de la question du financement des hôpitaux. Après une section 1 consacrée aux justifications de la régulation, les modalités de celles-ci seront analysées dans la section 2 avant d'étudier la place de la concurrence dans la section 3. [Auteur, p. 62] [Table des matières] 1. Les fondements de la régulation du système de santé. 1A. Pourquoi réguler (assurance-maladie ; la production de soins). 1B. Comment réguler. - 2. La régulation des tarifs hospitaliers. 2A. Principes généraux de paiement. 2B. La tarification à l'activité. 3. Concurrence et régulation. 3A. Concurrence fictive, spécialisations, et concurrence privé-public. 3B. La concurrence par la qualité. 3C. La concurrence en prix.

Assessing the impact of DRGs on patient care and professional practice in Switzerland (IDoC) : a potential model for monitoring and evaluating healthcare reform.

QUESTIONS UNDER STUDY: The starting point of the interdisciplinary project "Assessing the impact of diagnosis related groups (DRGs) on patient care and professional practice" (IDoC) was the lack of a systematic ethical assessment for the introduction of cost containment measures in healthcare. Our aim was to contribute to the methodological and empirical basis of such an assessment. METHODS: Five sub-groups conducted separate but related research within the fields of biomedical ethics, law, nursing sciences and health services, applying a number of complementary methodological approaches. The individual research projects were framed within an overall ethical matrix. Workshops and bilateral meetings were held to identify and elaborate joint research themes. RESULTS: Four common, ethically relevant themes emerged in the results of the studies across sub-groups: (1.) the quality and safety of patient care, (2.) the state of professional practice of physicians and nurses, (3.) changes in incentives structure, (4.) vulnerable groups and access to healthcare services. Furthermore, much-needed data for future comparative research has been collected and some early insights into the potential impact of DRGs are outlined. CONCLUSIONS: Based on the joint results we developed preliminary recommendations related to conceptual analysis, methodological refinement, monitoring and implementation.

Swiss DRGs : patient heterogeneity and hospital payments

In this paper, we analyze the prospective method of paying hospitals when the within-DRG variance is high. To avoid patients dumping, an outlier payment system is implemented. In the APDRG Swiss System, it consists in a mixture of fully prospective payments for low costs patients and partially cost-based system for high cost patients. We show how the optimal policy depends on the degree to which hospitals take patients' interest into account. A fixed-price policy is optimal when the hospital is sufficiently benevolent. When the hospital is weakly benevolent, a mixed policy solving a trade-off between rent extraction, efficiency and dumping deterrence must be preferred. Following Mougeot and Naegelen (2008), we show how the optimal combination of fixed price and partially costbased payment depends on the degree of benevolence of the hospital, the social cost of public funds and the distribution of patients severity. [Authors]

Financement : les AP-DRG en Suisse

Développés il y a plus d'une quinzaine d'années aux USA, les AP-DRG (All patient Diagnosis related groups) ont permis, malgré leur ancienneté, de conduire des expériences très utiles et de préparer divers cantons suisses à un futur système de financement, mieux que toutes les théories invoquées à ce sujet n'auraient pu le faire. [Auteurs]

DRGs in hospital management.

One of the traditional tasks of district and hospital managers has been to attempt to explain variations in average length of stay, average cost per day and average cost per case, between different hospitals. The need for such explanations has become more acute as a result of the recent emphasis on 'performance indicators' as measures of the efficiency of hospitals. The task of explaining these differences has not been rendered easier by the lack of appropriate management information for this purpose.

Measuring potentially avoidable hospital readmissions.

The objectives of this study were to develop a computerized method to screen for potentially avoidable hospital readmissions using routinely collected data and a prediction model to adjust rates for case mix. We studied hospital information system data of a random sample of 3,474 inpatients discharged alive in 1997 from a university hospital and medical records of those (1,115) readmitted within 1 year. The gold standard was set on the basis of the hospital data and medical records: all readmissions were classified as foreseen readmissions, unforeseen readmissions for a new affection, or unforeseen readmissions for a previously known affection. The latter category was submitted to a systematic medical record review to identify the main cause of readmission. Potentially avoidable readmissions were defined as a subgroup of unforeseen readmissions for a previously known affection occurring within an appropriate interval, set to maximize the chance of detecting avoidable readmissions. The computerized screening algorithm was strictly based on routine statistics: diagnosis and procedures coding and admission mode. The prediction was based on a Poisson regression model. There were 454 (13.1%) unforeseen readmissions for a previously known affection within 1 year. Fifty-nine readmissions (1.7%) were judged avoidable, most of them occurring within 1 month, which was the interval used to define potentially avoidable readmissions (n = 174, 5.0%). The intra-sample sensitivity and specificity of the screening algorithm both reached approximately 96%. Higher risk for potentially avoidable readmission was associated with previous hospitalizations, high comorbidity index, and long length of stay; lower risk was associated with surgery and delivery. The model offers satisfactory predictive performance and a good medical plausibility. The proposed measure could be used as an indicator of inpatient care outcome. However, the instrument should be validated using other sets of data from various hospitals.

Méthodologie pour le calcul des coûts par DRG : (juin 1987)

[Table des matières] Revue de la littérature: les expériences étrangères (Norvège, Etats-Unis, France). Information disponible en Suisse. Méthode directe pour le calcul des coûts par DRG. Problèmes relatifs à la méthode directe. Méthode indirecte pour le calcul des coûts par DRG.

Financement des hôpitaux par APDRG versus financement des hôpitaux par tarif journalier : effets sur les assureurs maladie, en fonction de la structure de leur portefeuille, selon l'âge et le sexe

Une abondante littérature existe sur le financement des hôpitaux selon les DRG ou selon le prix de journée. Le but de la présente communication est d'analyser, dans le cadre de l'introduction des tarifs par APDRG en Suisse, les effets d'un changement dans le financement des hôpitaux sur les assureurs maladie, en fonction de la structure de leur portefeuille, selon l'âge et le sexe. S'est posée plus précisément la question de savoir si le fait de passer d'un remboursement à la journée à un remboursement par DRG aurait un effet sur les charges des assureurs qui ont une clientèle plus âgée que la moyenne ou une clientèle majoritairement féminine. [Préambule p. 1]

Des DRG pour financer les hospitalisations en psychiatrie ?

En psychiatrie, les diagnostics n'expliquent en rien les variations de durée de séjours. Pour pronostiquer les ressources, des outils de description spécifiques devront être élaborés. Et des moyens pour le faire devront être alloués. [Auteur]

Perusterveydenhuollon ja erikoissairaanhoidon käytön seuranta ja ennakointi kuntanäkökulmasta

Follow-up of utilisation and prediction of primary health care and hospital care from the municipality point of view. Planning, follow-up, and evaluation of primary health care within municipality entail comprehensive information about factors that influence health. In addition to populationbased research, various statistical data and registries serve as sources of information. The present study examined utilisation of primary health care and hospital care with the existing databases, registries, and categorization of Diagnosis Related Groups (DRGs) from the municipality (purchaser) point of view. Research involving the cases of Paimio, Sauvo, and Turku as examples of municipalities pointed out that, even in the small municipalities, it is possible to assess and predict health services to be offered to the inhabitants by following databases and registries. Health-related databases and registries include a plenty of possible uses that have not adequately been employed at the level of municipality. Descriptive futures research and community analysis formed the framework of the study. Descriptive futures research may be used to establish predictions based on past developmental traditions, and quantitative time trend analyses may be employed to make estimations about future events. Community analysis will assist in making conclusions about population- based health care needs, in assessing the functionality or effectiveness of the health care system, and in appropriately targeting limited resources. The aim of the present study was to describe the health service profile so that the arrangements and planning of health services as well as the contract negotiations of hospital care become easier within municipalities. Another aim was to assess the application of Hilmo (registry for posting hospital care periods), Aitta and Sotka (statistical databases) for the purposes of resource planning in the procurement of hospital care. A third aim was to evaluate how the system of the DRGs adapts in the prediction of retaining health services within short (1-year), intermediate (5-year) and long range (10-15-year) intervals. The findings indicated that the follow-up of primary health care utilisation combined with follow-up of hospital care utilisation allows municipalities to plan and predict health services when databases are applied. Information about the past contacts with the databases has indicated that the health care culture and incidence of disease change rather slowly in the area of investigation. For the purposes of health care research, it is recommended that methods of application used in making predictions about health care utilisation need to be further developed