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

Qualité et DRG : mariage impossible ?

Les DRG, Diagnosis Related Groups, sont une classification permettant de regrouper les hospitalisations de soins aigus en fonction des affections traitées et des coûts engendrés. Ils ont été développes dans les années 70 à l'université de Yale aux Etats-Unis par le professeur Robert Fetter dans le but de standardiser les clientèles hospitalières dans un objectif de contrôle qualité. En Suisse, le financement en APDRG a commencé comme un projet pilote à Lausanne en 2002. Ce dernier a été repris du système déjà introduit aux Etat-Unis. Le 18 janvier 2008, la Suisse a décidé de passer à un financement en DRG au niveau national. La société anonyme SwissDRG a ainsi vu le jour en se basant sur Les G-DRG (=DRG allemand). Le coeur de ce mémoire consiste à déterminer si l'introduction des DRG ne causera pas une perte de qualité dans le système de soins. Afin de répondre à cette question, nous nous sommes basés sur l'expérience des autres pays notamment celle des Etats-Unis. L'étude réalisée par Kahn va être souvent prise en exemple. Les points forts qui en ressortent sont une augmentation de la sévérité des admissions, une baisse de la durée moyenne de séjour, une mortalité inchangée, ainsi que l'augmentation de l'état de santé instable à la sortie de l'hôpital. Ce qui ressort également dans l'ensemble des études documentées dans ce travail, c'est l'augmentation de l'efficience des hôpitaux et le risque qu'il y ait une sélection inverse des patients. [Auteur, p. 10]

L'impact du nouveau financement hospitalier sur les hôpitaux publics : exemple de l'Hôpital du Valais

L'objectif de ce mémoire est d'évaluer les conséquences du nouveau financement hospitalier de la LAMaI sur les hôpitaux publics et plus particulièrement sur l'Hôpital du Valais. Les nouvelles dispositions votées le 21 décembre 2007 par le Parlement ont pour but d'accroître la concurrence entre les hôpitaux et de mettre sur un pied d'égalité les établissements privés et publics. Ce document traite des principales modifications législatives et de leur entrée en vigueur, des nouveautés concernant le calcul des coûts et des tarifs à la charge de l'assurance obligatoire des soins avec l'inclusion des investissements et la nouvelle défmition des frais de formation, de l'introduction des forfaits par pathologie SwissDRG, des problématiques de l'ouverture des frontières cantonales et de la concurrence. Selon les hypothèses retenues, des effets peu importants sont à prévoir en Valais pour l'ouverture des frontières, la liste hospitalière et la répartition du tarif entre assureurs et cantons. Par contre on estime que la prise en compte des investissements augmentera les coûts de l'Hôpital du Valais de 5 à 13% alors les activités d'intérêt général se chiffrent entre 4 et 22 Mio. Les conséquences de l'introduction de la concurrence voulue par le législateur sont plus difficiles à évaluer, car elles dépendent de paramètres encore inconnus tels que le gain espéré et le comportement des parties. Une concurrence par les prix prétéritera les hôpitaux publics si leurs spécificités, telles que les urgences, les soins intensifs et l'obligation d'admission, ne sont pas prises en compte dans la structure tarifaire, le prix ou la planification. Le changement de comportement du patient, des assureurs, des médecins traitants voire des cantons ou des médias constitue également une inconnue qui pourrait avoir de fortes conséquences et contraindre les hôpitaux publics à développer leurs concepts de marketing et de communication. [Auteur, p. 2]

Repercussions of a sleep medicine outreach program

Despite the high prevalence of sleep disorders, many healthcare professionals and lay people have little knowledge of Sleep Medicine. Mindful of such a reality, in 2001 the Sleep Institute of the Associação Fundo de Incentivo à Psicofarmacologia launched a campaign to increase Sleep Medicine awareness. Media features, exhibitions, inserts, and classes were used to reach 2,000,000 people and 55,000 healthcare professionals during the period from 2001 to 2004. To evaluate this program, we compared data for polysomnography referrals to the Institute in 2000 and in 2004. A total of 8805 referrals were evaluated (2000: 2164; 2004: 6641). Over the 4 years of the program, the number of beds increased by 43%; more women were referred (31 vs 37%; P < 0.001), mainly with a diagnostic hypothesis of sleep-disorder breathing (SDB). SDB was the most frequent diagnostic hypothesis in 2000 and 2004. In 2004 there were fewer referrals without a diagnostic hypothesis (27 vs 21%; P < 0.001) and for controlling surgically treated SDB (2.3 vs 1.6%; P < 0.05), and an increase in the following diagnostic hypotheses: non-invasive treatment of SDB (8.3 vs 12.3%; P < 0.001) and insomnia (3.5 vs 6.5%; P < 0.001). Insomnia diagnostic hypothesis was better correlated with SDB on referral documents in 2004 and less with a diagnostic hypothesis of limb movement disturbance. The program helped increase polysomnography referrals, particularly among women. Healthcare professionals appear to have a more developed understanding of sleep disorders.

Proposta de modelo de interação da Universidade Federal do Rio Grande do Norte e empresas do setor de petróleo

Operational procedures may negatively interfere in negotiation and execution regarding universities and business companies. In some cases it may even derail business interaction. Thus, aiming to overcome this and other barriers a university-industry interaction model was structured. The model enhances the appropriation of technological solutions on behalf of enterprises, as well as aim to improve the quality of teaching and research done at the university. In order to conduct a case study, sampling considering the Federal University of Rio Grande do Norte (UFRN) was made as well as the Oil and Gas sector. For data collection questionnaires, classroom observation, document analysis, semi-structured interviews were used. The study describes the companies as well as the internal organization of UFRN in their interaction context. The diagnosis related to past interactions as well as the expectations of the companies and the university s internal subjects regarding the university-industry relationship were also studied. Thus, specific questionnaires were applied for the three types of groups: researchers, managers and business companies. These subjects pointed out that the great deal of barriers they identified were related to issues regarding the university internal management. Given these barriers, the critical factors were then identified in order to overcome this reality. Among the nine critical factors only one belongs to the macro environment, while the remaining factors are related to organizational issues present in the university context. It was possible to formulate a university-business interaction model one the researched focused on the case study results and contribution from a theoretical framework that was enabled trough literature review. The model considers all business collaboration mechanisms; it focuses on a particular strategic productive sector and provides a co-evolution vision over time, according to the sector´s development strategy. The need for institutionalizing the relationship with the companies involved is pointed out. The proposed model considers all the critical factors identified by the research; it aims long-term relationship with the company and integrates teaching, research and extension actions. The model implementation was also considered. It was seen that it must be done in three phases. The phases will be defined by the level of maturity in the relationship between the university and the companies. Thus, a framework was developed in order to assess the interaction level regarding company institutionalization. Whilst structuring the model was a concern with replication came up. It was pointed out that this model should not only serve to this specific case study situation. So the final result is a model of university-industry relationship appropriate in the first instance, for UFRN, but has applicability, in general, to any Brazilian university