15 resultados para Programs evaluation
em Universit
Resumo:
Il ressort que de l'avis largement majoritaire de tous les acteurs, institutions comme médecins privés, les soins palliatifs se sont améliorés dans le canton au cours des dix dernières années. Ce bilan positif est également confirmé par la comparaison des données qui avaient été recueillies en 2000 lors de la phase d'organisation des soins palliatifs dans le canton de Vaud. Trois éléments-clé sont évoqués comme cause de cette amélioration: les équipes mobiles en soins palliatifs (EMSP), les personnes-ressource et les formations en soins palliatifs . Cependant, des lacunes demeurent dans les institutions concernant, par exemple, l'inscription d'une définition des soins palliatifs dans les chartes institutionnelles ainsi que les différences observées entre les divers secteurs de soins et l'augmentation des déclarations de ressources inadéquates ou insuffisantes pour les soins palliatifs en comparaison à 2000. Les médecins quant à eux sont nombreux à faire part de leur difficulté à trouver le temps nécessaire à une formation spécifique mais aussi à faire reconnaître celui que requiert la coordination dans une prise en charge comprenant des soins palliatifs.
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Background: Disease management, a system of coordinated health care interventions for populations with chronic diseases in which patient self-care is a key aspect, has been shown to be effective for several conditions. Little is known on the supply of disease management programs in Switzerland. Objectives: To systematically search, record and evaluate data on existing disease management programs in Switzerland. Methods: Programs met our operational definition of disease management if their interventions targeted a chronic disease, included a multidisciplinary team and lasted at least 6 months. To find existing programs, we searched Swiss official websites, Swiss web-pages using Google, medical electronic database (Medline), and checked references from selected documents. We also contacted personally known individuals, those identified as possibly working in the field, individuals working in major Swiss health insurance companies and people recommended by previously contacted persons (snow ball strategy). We developed an extraction grid and collected information pertaining to the following 8 domains: patient population, intervention recipient, intervention content, delivery personnel, method of communication, intensity and complexity, environment and clinical outcomes (measures?). Results: We identified 8 programs fulfilling our operational definition of disease management. Programs targeted patients with diabetes, hypertension, heart failure, obesity, alcohol dependence, psychiatric disorders or breast cancer, and were mainly directed towards patients. The interventions were multifaceted and included education in almost all cases. Half of the programs included regularly scheduled follow-up, by phone in 3 instances. Healthcare professionals involved were physicians, nurses, case managers, social workers, psychologists and dietitians. None fulfilled the 6 criteria established by the Disease Management Association of America. Conclusions: Our study shows that disease management programs, in a country with universal health insurance coverage and little incentive to develop new healthcare strategies, are scarce, although we may have missed existing programs. Nonetheless, those already implemented are very interesting and rather comprehensive. Appropriate evaluation of these programs should be performed in order to build upon them and try to design a generic disease management framework suited to the Swiss healthcare system.
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To evaluate how young physicians in training perceive their patients' cardiovascular risk based on the medical charts and their clinical judgment. Cross sectional observational study. University outpatient clinic, Lausanne, Switzerland. Two hundred hypertensive patients and 50 non-hypertensive patients with at least one cardiovascular risk factor. Comparison of the absolute 10-year cardiovascular risk calculated by a computer program based on the Framingham score and adapted for physicians by the WHO/ISH with the perceived risk as assessed clinically by the physicians. Physicians underestimated the 10-year cardiovascular risk of their patients compared to that calculated with the Framingham score. Concordance between methods was 39% for hypertensive patients and 30% for non-hypertensive patients. Underestimation of cardiovascular risks for hypertensive patients was related to the fact they had a stabilized systolic blood pressure under 140 mm Hg (OR = 2.1 [1.1; 4.1]). These data show that young physicians in training often have an incorrect perception of the cardiovascular risk of their patients with a tendency to underestimate the risk. However, the calculated risk could also be slightly overestimated when applying the Framingham Heart Study model to a Swiss population. To implement a systematic evaluation of risk factors in primary care a greater emphasis should be placed on the teaching of cardiovascular risk evaluation and on the implementation of quality improvement programs.
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[Table des matières] 1. Zusammenfassung und Empfehlungen. 2. Einleitung. 2.1. Hintergrund der Nationalen Krebsbekämpfungsprogramme. 2.2. Grundlagen der Konzeptualisierung der vier Programme. 3. Nationales Programm zur Bekämpfung des Brustkrebses, des Hautkrebses, des Lungkrebses, des Darmkrebses : Beschreibung und beurteilung der Konzeptualisierung des Programms und Schlussfolgerungen und Empfehlungen. 4. Programmübergreifende Aspekte. 5. Chronologische Ubersicht der vier nationalen Krebsbekämpfungsprogramme. 6. Liste des Interviews, welche im Rahmen der Studie 3 der Evaluation der Nationalen Krebsbekämpfungs-Programme durchgeführt wurden. 7. Geplante Realisierung von Zielen in den Bereichen : Gesundheitsförderung und Prävention, Sekundärprävention, Therapie und Nachsorge durch das Programm Brustkrebs. 8. Evaluationsstudien. 9. Raster Umsetzung der Programmbausteine.
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Evaluation of segmentation methods is a crucial aspect in image processing, especially in the medical imaging field, where small differences between segmented regions in the anatomy can be of paramount importance. Usually, segmentation evaluation is based on a measure that depends on the number of segmented voxels inside and outside of some reference regions that are called gold standards. Although some other measures have been also used, in this work we propose a set of new similarity measures, based on different features, such as the location and intensity values of the misclassified voxels, and the connectivity and the boundaries of the segmented data. Using the multidimensional information provided by these measures, we propose a new evaluation method whose results are visualized applying a Principal Component Analysis of the data, obtaining a simplified graphical method to compare different segmentation results. We have carried out an intensive study using several classic segmentation methods applied to a set of MRI simulated data of the brain with several noise and RF inhomogeneity levels, and also to real data, showing that the new measures proposed here and the results that we have obtained from the multidimensional evaluation, improve the robustness of the evaluation and provides better understanding about the difference between segmentation methods.
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Lifting is said to be on of the major risk factors for the onset of low back pain, several different measures has been developed to study this. Several programs are available in order to measure these components, or to determine the ability of an individual to perform a certain job or to discover if the job creates dangerous positions for the worker. In these different fields reliable and valid instruments exist but they are costly and time spending. We present a simplified functional capacity measuring that we use daily in practise. Method: 280 patients have been evaluated on this base. The majority was referred to multidisciplinary rehabilitation treatment. The patients had recurrent back problems for months or years. Inclusion criteria were between 18 and 64 years, currently of work, no work compensation. Exclusion criteria were chronic low back pain with a specific cause. They followed a one-hour evaluation test as a functional capacity evaluation at the end of the multidisciplinary treatment period, it was compared to the PILE-test done at the beginning and at the end. Results: We included 280 subjects: 160 men and 120 women. Mean age 43.6 by the women and 44 years by the men. We studied the caring foot-hip, hip-shoulder, 5 m carrying, pushing and tiring and the global weight carried during the test. We found this global value to be 696 kg by men and 422 kg by women suffering from chronic lumbar pain. The increase in this value had a clear incidence on a greater work ability, as had a decrease. Conclusions: We were able to develop a lifting capacity program that is easy to reproduce and not expensive, giving us the possibility to have an idea on how to reorient the patients according to their work place and their capacities. We could also have an information of work performance and power consumption. It should be more tested and compared to standard capacity in the healthy population.
Resumo:
OBJECTIVE: To evaluate prenatal diagnosis of congenital diaphragmatic hernia by ultrasound in well-defined European populations. DESIGN: Data from 20 registries of congenital malformations in 12 European countries were included. The prenatal ultrasound screening programs in the countries ranged from no routine screening to three ultrasound investigations per patient being routinely performed. RESULTS: There were 187 cases with congenital diaphragmatic hernia, with an overall prenatal detection rate of 59% (110/187). There was considerable variation in prenatal detection rate between regions. There was a significant difference in the detection rate of isolated congenital diaphragmatic hernia (59/116, 51%) compared with congenital diaphragmatic hernia associated with multiple malformations, karyotype anomalies or syndromes (51/71, 72%) (P = 0.01). Termination of pregnancy was performed in 39 cases (21%) of which 14 cases were isolated congenital diaphragmatic hernia. Mean gestational age at discovery was 24.2 weeks (range, 11-38 weeks). CONCLUSIONS: The overall prenatal detection rate of congenital diaphragmatic hernia is high (59%) but varies significantly between European regions. The gestational age at discovery was greater than 24 weeks in half of the prenatally diagnosed cases.
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OBJECTIVES: To evaluate prenatal diagnosis of congenital heart diseases by ultrasound investigation in well-defined European populations. DESIGN: Data from 20 registries of congenital malformations in 12 European countries were included. The prenatal ultrasound screening programs in the countries ranged from no routine screening to three ultrasound investigations per patient routinely performed. RESULTS: There were 2454 cases with congenital heart disease with an overall prenatal detection rate of 25%. Termination of pregnancy was performed in 293 cases (12%). There was considerable variation in prenatal detection rate between regions, with the lowest detection rates being in countries without ultrasound screening (11%) and in Eastern European countries (Croatia, Lithuania and Ukraine; 8%). In Western European countries with ultrasound screening, detection rate ranged from 19-48%. There was a significant difference in prenatal detection rate and proportion of induced abortions between isolated congenital heart disease and congenital heart disease associated with chromosome anomalies, multiple malformations and syndromes (P < 0.0001). There were 1694 cases with isolated congenital heart disease of which 16% were diagnosed prenatally. Malformations affecting the size of the ventricles were detected prenatally in half of the cases. CONCLUSIONS: Prenatal detection rate of congenital heart disease varies significantly between countries even with the same screening recommendations. The presence of associated malformations significantly increases the prenatal detection rate.
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Introduction: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on measurement of blood concentrations. Maintaining concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. In the last decades computer programs have been developed to assist clinicians in this assignment. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Method: Literature and Internet search was performed to identify software. All programs were tested on common personal computer. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software's characteristics. Numbers of drugs handled vary widely and 8 programs offer the ability to the user to add its own drug model. 10 computer programs are able to compute Bayesian dosage adaptation based on a blood concentration (a posteriori adjustment) while 9 are also able to suggest a priori dosage regimen (prior to any blood concentration measurement), based on individual patient covariates, such as age, gender, weight. Among those applying Bayesian analysis, one uses the non-parametric approach. The top 2 software emerging from this benchmark are MwPharm and TCIWorks. Other programs evaluated have also a good potential but are less sophisticated (e.g. in terms of storage or report generation) or less user-friendly.¦Conclusion: Whereas 2 integrated programs are at the top of the ranked listed, such complex tools would possibly not fit all institutions, and each software tool must be regarded with respect to individual needs of hospitals or clinicians. Interest in computing tool to support therapeutic monitoring is still growing. Although developers put efforts into it the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capacity of data storage and report generation.
Resumo:
Objectives: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on blood concentrations measurement. Maintaining concentrations within a target range requires pharmacokinetic (PK) and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Methods: Literature and Internet were searched to identify software. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software characteristics. Numbers of drugs handled vary from 2 to more than 180, and integration of different population types is available for some programs. Nevertheless, 8 programs offer the ability to add new drug models based on population PK data. 10 computer tools incorporate Bayesian computation to predict dosage regimen (individual parameters are calculated based on population PK models). All of them are able to compute Bayesian a posteriori dosage adaptation based on a blood concentration while 9 are also able to suggest a priori dosage regimen, only based on individual patient covariates. Among those applying Bayesian analysis, MM-USC*PACK uses a non-parametric approach. The top 2 programs emerging from this benchmark are MwPharm and TCIWorks. Others programs evaluated have also a good potential but are less sophisticated or less user-friendly.¦Conclusions: Whereas 2 software packages are ranked at the top of the list, such complex tools would possibly not fit all institutions, and each program must be regarded with respect to individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Although interest in TDM tools is growing and efforts were put into it in the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capability of data storage and automated report generation.
Resumo:
BACKGROUND: We assessed the impact of a multicomponent worksite health promotion program for0 reducing cardiovascular risk factors (CVRF) with short intervention, adjusting for regression towards the mean (RTM) affecting such nonexperimental study without control group. METHODS: A cohort of 4,198 workers (aged 42 +/- 10 years, range 16-76 years, 27% women) were analyzed at 3.7-year interval and stratified by each CVRF risk category (low/medium/high blood pressure [BP], total cholesterol [TC], body mass index [BMI], and smoking) with RTM and secular trend adjustments. Intervention consisted of 15 min CVRF screening and individualized counseling by health professionals to medium- and high-risk individuals, with eventual physician referral. RESULTS: High-risk groups participants improved diastolic BP (-3.4 mm Hg [95%CI: -5.1, -1.7]) in 190 hypertensive patients, TC (-0.58 mmol/l [-0.71, -0.44]) in 693 hypercholesterolemic patients, and smoking (-3.1 cig/day [-3.9, -2.3]) in 808 smokers, while systolic BP changes reflected RTM. Low-risk individuals without counseling deteriorated TC and BMI. Body weight increased uniformly in all risk groups (+0.35 kg/year). CONCLUSIONS: In real-world conditions, short intervention program participants in high-risk groups for diastolic BP, TC, and smoking improved their CVRF, whereas low-risk TC and BMI groups deteriorated. Future programs may include specific advises to low-risk groups to maintain a favorable CVRF profile.
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[Table des matières] 1. Allgemeine Schlussforschungen und Empfehlungen. 2. Einleitung. 3. Methodik. 4. Ergebnisse. 4.1. Zentrale Datenquellen : Kontinuierliche und periodische Erhabungen, Mortalitätsstatistik, Spitalstatistik, Vereinigung Schweizerischer Krebsregister, Schweizerische Gesundheitsbefragung, Trendstudie zum Konsum von Alkohol, Tabak, Medikamenten und illegalen Drogen SFA, SChülerbefragung SFA, Warenkorb BFS, Schweizer Haushalt-Panel, Traditioneller Haushaltspanel IHA-GfM, Pharmaabsatzzahlen IHA-GfM, Sonnenexposition und Sonnenschutz, Indikatoren für den Tabakkonsum in der Schweiz, Statistische Erhebungen und Schätzungen über Landwirtschaft und Ernährung, Participants' Report SIAK, Trial guide SAKK, Guidelines, Berufskrankheiten SUVA, Krebstelefon SKL. 4.2. Weitere Datenquellen : Kontinuierliche und periodische Erhebungen, Statistik der verteilten Broschüren SKL, Jahresbericht von im Bereich Krebs tätigen Institutionen, Invalidenversicherung BSV, Andere Statistiken des BSV, Konkordat der Schweizerischen Krankenversicherer, Nestlé-Studie. 4.3. Zentrale Einzelerhebungen : Frauen und Krebs, Vorstudie für eine nationale Kampagne zur Früherfassung des kolorektalen Karzinoms, Ausmass und Intensität von Krebsschmerzen in der Schweiz. 4.4. Weitere Einzelerhebungen : IUMSP : die Gesundheit Jugendlicher in der Schweiz, Stillhäufigkeit und Stilldauer in der Schweiz 1994, Kohortenstudie Alkohol- und Drogenkonsum SFA. 4.5. Abgeschlossene Erhebungen : Krebsvorsorge, MONICA-Studie und Basler Ernährungsstudie. 5. Schlussfolgerungen und Empfehlungen : Zusammenfassende Schlussfolgerungen und Empfehlungen. 6. Anhang. 6.1. Zentrale Datenquellen im Uberblick : Globalkonzept, Brustkrebsprogramm, Lungenkrebsprogramm, Hautkrebsprogramm, Darmkrebsprogramm. 6.2. Zieltabelle : formulierte Ziele des nationalen Krebsbekämpfungsprogramms. 6.3. Abkürzungen.