Association between nonmedical prescription drug use and health status among young swiss men.

PURPOSE: To examine the relationship between the nonmedical prescription drug use (NMPDU) of six drug classes and health. METHODS: Data on young adults males (mean age, 19.96 years) from the baseline and follow-up of the Cohort Study on Substance Use Risk Factors (C-SURF) were used (n = 4,958). Two sets of logistic regression models were fitted to examine the associations between NMPDU of opioid analgesics, sedatives or sleeping pills, anxiolytics, antidepressants, beta blockers and stimulants, and health status (assessed using the Medical Outcomes Study 12-Item Short Form Survey Instrument [SF-12 v2]). We first computed odds ratios between NMPDU at baseline and poor mental and physical health at follow-up, adjusting for poor mental or physical health at baseline. We then computed odds ratios between poor mental and physical health at baseline and NMPDU at follow-up, adjusting for NMPDU at baseline. RESULTS: Three key findings regarding mental health were (1) there was a reciprocal risk between poor mental health and sedatives and anxiolytics; (2) poor mental health increased NMPDU of opioid analgesics and antidepressants but not vice versa; and (3) there were no associations with stimulants. Three key findings regarding physical health were (1) poor physical health increased the risk of NMPDU of anxiolytics; (2) the only reciprocal risk was between physical health and NMPDU of opioid analgesics; and (3) there were no associations with stimulants. CONCLUSION: These results, among the first ever on reciprocal effects between NMPDU and mental and physical health status, give unique information concerning the adverse effects of NMPDU on health and vice versa. The study shows that NMPDU is not only a sign of self-medication but may induce health problems.

Prescription du monitoring pratique médicate: de l'empirisme eclairé aux stratégies rationnelles [Prescribing monitoring in clinical practice: from enlightened empiricism to rational strategies].

Monitoring of a medical condition is the periodic measurement of one or several physiological or biological variables to detect a signal regarding its clinical progression or its response to treatment. We distinguish different medical situations between diagnostic, clinical and therapeutic process to apply monitoring. Many clinical, variables can be used for monitoring, once their intrinsic properties (normal range, critical difference, kinetics, reactivity) and external validity (pathophysiological importance, predictive power for clinical outcomes) are established. A formal conceptualization of monitoring is being developed and should support the rational development of monitoring strategies and their validation through appropriate clinical trials.

Avastin-Lucentis: un médicament à tout prix ?

Début 2008, deux médicaments placent sous le feu des projecteurs médiatiques le système suisse de remboursement des médicaments. L'affaire du Lucentis et de l'Avastin retentit sur la télévision alémanique, rebondit dans les quotidiens, pour finalement atterrir devant le Parlement. Le prix très élevé du Lucentis (par rapport à son possible substitut, l'Avastin) suscite les critiques. Une année plus tard, les questions fondamentales que cette affaire soulève ne sont toujours pas résolues. Ce mini-scandale fournit l'occasion idéale pour présenter les dispositions légales et la jurisprudence sur le remboursement des médicaments par les caisses-maladie suisses. Les explications suivent la chronologie des événements pour conclure par diverses recommandations.

Étude des biais sur la dose parentérale d'un nouveau médicament lors d'un essai clinique avec profil cinétique

Introduction et objectif: Lors d'essais cliniques, le pharmacien est responsable de la préparation et de la dispensation des médicaments à évaluer. Un article récent a toutefois montré que les aspects pharmaceutiques liés au contrôle de la dose administrée in fine étaient souvent mal contrôlés. Il peut exister une différence entre la dose nominale fournie par le certificat d'analyse du fabricant et la dose réellement administrée au sujet, biais qui se reporte en cascade sur l'estimation des paramètres pharmacocinétiques (PK), comme la clairance ou le volume de distribution. Ce travail visait à évaluer les biais entachant la quantité de médicament réellement injectée (iv/sc) aux volontaires d'un essai clinique étudiant la PK et la relation dose-réponse d'un nouveau produit biotechnologique. Méthode: La dose de médicament administrée lors de l'essai clinique (D) a été calculée de la manière suivante: D = C * V - pertes. La concentration du produit (C; titre nominal du fabricant) a été vérifiée par immuno-essai. Le volume de médicament injecté (V) a été déterminé pour chaque injection par pesée (n=72), en utilisant la masse de la seringue avant et après injection et la densité du produit. Enfin, une analyse in vitro a permis d'évaluer les pertes liées à l'adsorption du produit dans les lignes de perfusion et de choisir le dispositif adéquat in vivo. Résultats: La concentration du médicament s'est révélée proche du titre nominal (96 ± 7%), et a été utilisée comme référence. Le volume injecté était quant à lui entaché d'un biais systématique par rapport à la valeur théorique correspondant à 0.03 mL pour la dose minimale (i.e. 75% du volume à injecter à cette dose). Une analyse complémentaire a montré que cela s'expliquait par une réaspiration partielle de la solution médica-menteuse avant le retrait de la seringue après injection sc, due à l'élasticité du piston. En iv, le biais était par contre provoqué par une réaspiration du soluté de perfusion co-administré. Enfin, la mesure des quantités de médicament récupérées après injection dans le dispositif de perfusion a démontré des pertes minimales par adsorption. Discussion-conclusion: Cette étude confirme l'existence de biais inversement corrélés au volume et à la concentration du médicament administré, pouvant provoquer des erreurs importantes sur les paramètres PK. Ce problème est négligé ou insuffisamment considéré dans les protocoles de Phase I et nécessiterait une planification rigoureuse. Les procédures opératoires devraient attirer l'attention sur ce point crucial.

From geriatric service to primary care: a retrospective pharmaceutical analysis of the medical prescription

Introduction The population of elderly persons is increasing andnegative outcomes due to polymedication are frequent. Discrepanciesin information about medication are frequent when older persons aretransitioning from hospital to home, increasing the risk of hospitalreadmission. The aims of this study were a) to determine discrepanciesin medical regimen indicated in two official discharge documents(DS = discharge summary, DP=discharge prescription); b) to characterizethe pharmacotherapy prescribed in older patients dischargedfrom a geriatric service.Materials & Methods Elderly patients (N=230) discharged from thegeriatric service (CHUV, Lausanne) over a 6-month period (January toJune 2009) were selected. Community pharmacists compared DS andDP to identify discrepancies including (a) drugs' name; (b) schedule ofadministration, dosage, frequency, prn prescription, treatment durationand galenic formulation. Beers' criteria were applied to identifypotentially inappropriate drugs and a descriptive analysis of drug costs,prescription profiles and generics were also performed.Results On average, patients were 82 ± 7 years old and stayed23.0 ± 11.6 days in the geriatric service. The delay between the datesof patient's discharge with the DP and the sending of the DS to hisgeneral physician averaged 14.0 ± 7.5 days (range 1-55). The DPhad an average of 10.0 ± 3.3 drugs (range 2-19). 77% of patients hadat least one discrepancy. A drug was missing on the DS in 57.8% ofpatients and 19.6% had a missing prn prescription. Among the 2312drugs prescribed, 3% belonged to Beers' list. They were prescribed to61 patients (26.5%), with 6 patients cumulating two Beers' potentiallyinappropriate drugs in their treatment. Analgesics (85% of thepatients), anticoagulants (80%), mineral supplements (77%), laxatives(52%) and antihypertensives (46%) were the drug classes most frequentlyprescribed. Mean costs of treatment as per DP was160.4 ± 179.4 Euros. Generic prescription represented more than 5%of the costs for 3 therapeutic classes (cholesterol-lowering agents(64%), antihypertensives (50%) and antidepressants (47%)).Discussion & Conclusion The high discrepancy rate between medicationlisted in the DP and the DS highlights a need for safetyimprovement. Potential benefits are expected from reinforced pharmacist-physician collaboration in transition from hospital to primarycare. In addition, even though Beers' criteria are questionable, thedrugs prescribed in this already fragile population, and the potentialopportunities of economical optimizations, are advocating thedevelopment and the scientific evaluation of a structured advancedcollaborative pharmacy practice service. This foresees improvedeffectiveness, safety and efficiency in the medication management ofelderly persons.

The impact of information on patient preferences in different delivery patterns: a contingent valuation study of prescription versus OTC drugs.

OBJECTIVES: Our analysis assessed the impact of information on patients' preferences in prescription versus over-the-counter (OTC) delivery systems. METHODS: A contingent valuation (CV) study was implemented, randomly assigning 534 lay people into the receipt of limited or extended information concerning new influenza drugs. In each information arm, people answered two questions: the first asked about willingness to pay (WTP) for the new prescription drug; the second asked about WTP for the same drug sold OTC. RESULTS: We show that WTP is higher for the OTC scenario and that the level of information plays a significant role in the evaluation of the OTC scenario, with more information being associated with an increase in the WTP. In contrast, the level of information provided has no impact on WTP for prescription medicine. Thus, for the kind of drug considered here (i.e. safe, not requiring medical supervision), a switch to OTC status can be expected to be all the more beneficial, as the patient is provided with more information concerning the capability of the drug. CONCLUSIONS: Our results shed light on one of the most challenging issues that health policy makers are currently faced with, namely the threat of a bird flu pandemic. Drug delivery is a critical component of pandemic influenza preparedness. Furthermore, the congruence of our results with the agency and demand theories provides an important test of the validity of using WTP based on CV methods.

Attitude de prescription chez la femme enceinte : exemple de prise en charge d'un état dépressif

- Comment prescrire à une femme enceinte? L'attitude optimale réalise un compromis entre d'une part l'indication au traitement, et d'autre part l'importance du risque que celui-ci fait courir au foetus et à la mère. Le respect de quelques principes simples peut aider dans cette démarche: - La relative carence en connaissances dans ce domaine impose avant tout une attitude basée sur le principe de précaution. - La période (1er, 2e ou 3e trimestre) pendant laquelle le foetus sera exposé au traitement envisagé est un élément prépondérant dans la réflexion. - Le traitement de choix est celui qui, parmi les alternatives efficaces, présente le meilleur profil de sécurité pendant la grossesse selon les observations humaines disponibles. - Le rapport bénéfice/risque pour la patiente et le foetus peut s'inverser pendant la grossesse. - Toute exposition médicamenteuse problématique pendant la grossesse doit faire l'objet d'une annonce à l'un des centres suisse de pharmacovigilance. Ces données de tératovigilance sont indispensables pour alimenter les connaissances dans ce domaine. - Afin d'illustrer ces principes généraux, un exemple typique de prescription chez la femme enceinte a été choisi, mettant l'accent sur un problème de tératovigilance récemment identifié: les risques liés à certains antidépresseurs durant la grossesse.

Prospective pathways between heroin use and nonmedical use of prescription opioids: Trajectories among young Swiss men

BACKGROUND. So far few studies have focused on the last steps of drug-use trajectories. Heroin has been described as a final stage, but the non-medical use of prescription opioids (NMUPOs) is often associated with heroin use. There is, however, no consensus yet about which one precedes the other. AIMS. The objective of this study was to test which of these two substances was likely to be induced by the other using a prospective design. MATERIAL AND METHODS. We used data from the Swiss Longitudinal Cohort Study on Substance Use Risk Factors (C-SURF) to assess exposure to heroin and NMUPO at two times points (N = 5,041). Cross-lagged panel models provided evidence regarding prospective pathways between heroin and NMUPOs. Power analyses provided evidence about significance and clinical relevance. RESULTS. Results showed that heroin use predicted later NMUPO use (? = 1.217, p < 0.001) and that the reverse pathway was non-significant (? = 0.240, p = .233). Heroin use seems to be an important determinant, causing a 150% risk increase for NMUPO use at follow-up, whereas NMUPO use at baseline increases the risk of heroin use at follow-up by a mere non-significant 20%. CONCLUSIONS. Thus, heroin users were more likely to move to NMUPOs than non-heroin users, whereas NMUPO users were not likely to move to heroin use. The pathway of substance use seemed to include first heroin use, then NMUPO use.