Prescription procedures in medication for relapse prevention after inpatient treatment for alcohol use disorders in Switzerland

In randomized controlled trials with high internal validity, pharmacotherapy using acamprosate, naltrexone, and, to a somewhat lesser extent, disulfiram has proved effective in preventing relapse in patients with alcohol use disorders (AUD). There remains, however, a paucity of studies with sufficient external validity in which the effectiveness of pharmacotherapy in clinical practice is investigated. This study aimed to make a contribution to close this gap in research.

Cholesky Residuals for Assessing Normal Errors in a Linear Model with Correlated Outcomes: Technical Report

Despite the widespread popularity of linear models for correlated outcomes (e.g. linear mixed models and time series models), distribution diagnostic methodology remains relatively underdeveloped in this context. In this paper we present an easy-to-implement approach that lends itself to graphical displays of model fit. Our approach involves multiplying the estimated margional residual vector by the Cholesky decomposition of the inverse of the estimated margional variance matrix. The resulting "rotated" residuals are used to construct an empirical cumulative distribution function and pointwise standard errors. The theoretical framework, including conditions and asymptotic properties, involves technical details that are motivated by Lange and Ryan (1989), Pierce (1982), and Randles (1982). Our method appears to work well in a variety of circumstances, including models having independent units of sampling (clustered data) and models for which all observations are correlated (e.g., a single time series). Our methods can produce satisfactory results even for models that do not satisfy all of the technical conditions stated in our theory.

Underestimation of Standard Errors in Multi-Site Time Series Studies

Multi-site time series studies of air pollution and mortality and morbidity have figured prominently in the literature as comprehensive approaches for estimating acute effects of air pollution on health. Hierarchical models are generally used to combine site-specific information and estimate pooled air pollution effects taking into account both within-site statistical uncertainty, and across-site heterogeneity. Within a site, characteristics of time series data of air pollution and health (small pollution effects, missing data, highly correlated predictors, non linear confounding etc.) make modelling all sources of uncertainty challenging. One potential consequence is underestimation of the statistical variance of the site-specific effects to be combined. In this paper we investigate the impact of variance underestimation on the pooled relative rate estimate. We focus on two-stage normal-normal hierarchical models and on under- estimation of the statistical variance at the first stage. By mathematical considerations and simulation studies, we found that variance underestimation does not affect the pooled estimate substantially. However, some sensitivity of the pooled estimate to variance underestimation is observed when the number of sites is small and underestimation is severe. These simulation results are applicable to any two-stage normal-normal hierarchical model for combining information of site-specific results, and they can be easily extended to more general hierarchical formulations. We also examined the impact of variance underestimation on the national average relative rate estimate from the National Morbidity Mortality Air Pollution Study and we found that variance underestimation as much as 40% has little effect on the national average.

Monotoring adherence to prescribed medication in type 2 diabetic patients treated with sulfonylureas

Data on adherence to prescribed medication amongst diabetics are scarce. The purpose of this study was to collect information about the dynamics and patterns of compliance of elderly patients with type 2 diabetes mellitus on oral treatment by using different assessment techniques.

Dosimetric impact of geometric errors due to respiratory motion prediction on dynamic multileaf collimator-based four-dimensional radiation delivery

The synchronization of dynamic multileaf collimator (DMLC) response with respiratory motion is critical to ensure the accuracy of DMLC-based four dimensional (4D) radiation delivery. In practice, however, a finite time delay (response time) between the acquisition of tumor position and multileaf collimator response necessitates predictive models of respiratory tumor motion to synchronize radiation delivery. Predicting a complex process such as respiratory motion introduces geometric errors, which have been reported in several publications. However, the dosimetric effect of such errors on 4D radiation delivery has not yet been investigated. Thus, our aim in this work was to quantify the dosimetric effects of geometric error due to prediction under several different conditions. Conformal and intensity modulated radiation therapy (IMRT) plans for a lung patient were generated for anterior-posterior/posterior-anterior (AP/PA) beam arrangements at 6 and 18 MV energies to provide planned dose distributions. Respiratory motion data was obtained from 60 diaphragm-motion fluoroscopy recordings from five patients. A linear adaptive filter was employed to predict the tumor position. The geometric error of prediction was defined as the absolute difference between predicted and actual positions at each diaphragm position. Distributions of geometric error of prediction were obtained for all of the respiratory motion data. Planned dose distributions were then convolved with distributions for the geometric error of prediction to obtain convolved dose distributions. The dosimetric effect of such geometric errors was determined as a function of several variables: response time (0-0.6 s), beam energy (6/18 MV), treatment delivery (3D/4D), treatment type (conformal/IMRT), beam direction (AP/PA), and breathing training type (free breathing/audio instruction/visual feedback). Dose difference and distance-to-agreement analysis was employed to quantify results. Based on our data, the dosimetric impact of prediction (a) increased with response time, (b) was larger for 3D radiation therapy as compared with 4D radiation therapy, (c) was relatively insensitive to change in beam energy and beam direction, (d) was greater for IMRT distributions as compared with conformal distributions, (e) was smaller than the dosimetric impact of latency, and (f) was greatest for respiration motion with audio instructions, followed by visual feedback and free breathing. Geometric errors of prediction that occur during 4D radiation delivery introduce dosimetric errors that are dependent on several factors, such as response time, treatment-delivery type, and beam energy. Even for relatively small response times of 0.6 s into the future, dosimetric errors due to prediction could approach delivery errors when respiratory motion is not accounted for at all. To reduce the dosimetric impact, better predictive models and/or shorter response times are required.

Clinical and immunologic effects of H1 antihistamine preventive medication during honeybee venom immunotherapy

BACKGROUND: H1 antihistamines increase safety during allergen-specific immunotherapy and might influence the outcome because of immunoregulatory effects. OBJECTIVE: We sought to analyze the influence of 5 mg of levocetirizine (LC) on the safety, efficacy, and immunologic effects of ultrarush honeybee venom immunotherapy (BVIT). METHOD: In a double-blind, placebo-controlled study 54 patients with honeybee venom allergy received LC or placebo from 2 days before BVIT to day 21. Side effects during dose increase and systemic allergic reactions (SARs) to a sting challenge after 120 days were analyzed. Allergen-specific immune response was investigated in skin, serum, and allergen-stimulated T-cell cultures. RESULTS: Side effects were significantly more frequent in patients receiving placebo. Four patients receiving placebo dropped out because of side effects. SARs to the sting challenge occurred in 8 patients (6 in the LC group and 2 in the placebo group). Seven SARs were only cutaneous, and 1 in the placebo group was also respiratory. Difference of SARs caused by the sting challenge was insignificant. Specific IgG levels increased significantly in both groups. Major allergen phospholipase A(2)-stimulated T cells from both groups showed a slightly decreased proliferation. The decrease in IFN-gamma and IL-13 levels with placebo was not prominent with LC, whereas IL-10 levels showed a significant increase in the LC group only. Decreased histamine receptor (HR)1/HR2 ratio in allergen-specific T cells on day 21 in the placebo group was prevented by LC. CONCLUSIONS: LC reduces side effects during dose increase without influencing the efficacy of BVIT. LC modulates the natural course of allergen-specific immune response and affects the expression of HRs and cytokine production by allergen-specific T cells.

When drugs disappear from the patient: elimination of intravenous medication by hemodiafiltration

Twenty-three hours after heart transplantation, life-threatening acute right heart failure was diagnosed in a patient requiring continuous venovenous hemodiafiltration (CVVHDF). Increasing doses of catecholamines, sedatives, and muscle relaxants administered through a central venous catheter were ineffective. However, a bolus of epinephrine injected through an alternative catheter provoked a hypertensive crisis. Thus, interference with the central venous infusion by the dialysis catheter was suspected. The catheters were changed, and hemodynamics stabilized at lower catecholamine doses. When the effects of IV drugs are inadequate in patients receiving CVVHDF, interference with adjacent catheters resulting in elimination of the drug by CVVHDF should be suspected.

Climate spectrum estimation in the presence of timescale errors

We introduce an algorithm (called REDFITmc2) for spectrum estimation in the presence of timescale errors. It is based on the Lomb-Scargle periodogram for unevenly spaced time series, in combination with the Welch's Overlapped Segment Averaging procedure, bootstrap bias correction and persistence estimation. The timescale errors are modelled parametrically and included in the simulations for determining (1) the upper levels of the spectrum of the red-noise AR(1) alternative and (2) the uncertainty of the frequency of a spectral peak. Application of REDFITmc2 to ice core and stalagmite records of palaeoclimate allowed a more realistic evaluation of spectral peaks than when ignoring this source of uncertainty. The results support qualitatively the intuition that stronger effects on the spectrum estimate (decreased detectability and increased frequency uncertainty) occur for higher frequencies. The surplus information brought by algorithm REDFITmc2 is that those effects are quantified. Regarding timescale construction, not only the fixpoints, dating errors and the functional form of the age-depth model play a role. Also the joint distribution of all time points (serial correlation, stratigraphic order) determines spectrum estimation.

EEG microstate duration and syntax in acute, medication-naive, first-episode schizophrenia: a multi-center study

In young, first-episode, productive, medication-naive patients with schizophrenia, EEG microstates (building blocks of mentation) tend to be shortened. Koenig et al. [Koenig, T., Lehmann, D., Merlo, M., Kochi, K., Hell, D., Koukkou, M., 1999. A deviant EEG brain microstate in acute, neuroleptic-naïve schizophrenics at rest. European Archives of Psychiatry and Clinical Neuroscience 249, 205–211] suggested that shortening concerned specific microstate classes. Sequence rules (microstate concatenations, syntax) conceivably might also be affected. In 27 patients of the above type and 27 controls, from three centers, multichannel resting EEG was analyzed into microstates using k-means clustering of momentary potential topographies into four microstate classes (A–D). In patients, microstates were shortened in classes B and D (from 80 to 70 ms and from 94 to 82 ms, respectively), occurred more frequently in classes A and C, and covered more time in A and less in B. Topography differed only in class B where LORETA tomography predominantly showed stronger left and anterior activity in patients. Microstate concatenation (syntax) generally were disturbed in patients; specifically, the class sequence A→C→D→A predominated in controls, but was reversed in patients (A→D→C→A). In schizophrenia, information processing in certain classes of mental operations might deviate because of precocious termination. The intermittent occurrence might account for Bleuler's “double bookkeeping.” The disturbed microstate syntax opens a novel physiological comparison of mental operations between patients and controls.

Disparities in bone density measurement history and osteoporosis medication utilisation in Swiss women: results from the Swiss Health Survey 2007

BACKGROUND Although factors associated with the utilisation of bone density measurement (BDM) and osteoporosis treatment have been regularly assessed in the US and Canada, they have not been effectively analysed in European countries. This study assessed factors associated with the utilisation of BDM and osteoporosis medication (OM) in Switzerland. METHODS The Swiss Health Survey 2007 data included self-reported information on BDM and OM for women aged 40 years and older who were living in private households. Multivariable logistic regression analysis was used to identify sociodemographic, socioeconomic, healthcare-related and osteoporosis risk factors associated with BDM and OM utilisation. RESULTS The lifetime prevalence of BDM was 25.6% (95% CI: 24.3-26.9%) for women aged 40 years and older. BDM utilisation was associated with most sociodemographic factors, all the socioeconomic and healthcare-related factors, and with major osteoporosis risk factors analysed. The prevalence of current OM was 7.8% (95% CI: 7.0-8.6%) and it was associated with some sociodemographic and most healthcare-related factors but only with one socioeconomic factor. CONCLUSIONS In Swiss women, ever having had a BDM and current OM were low and utilisation disparities exist according to sociodemographic, socioeconomic and healthcare-related factors. This might foster further health inequalities. The reasons for these findings should be addressed in further studies of the elderly women, including those living in institutions.

Patientensicherheit in der Hausarztpraxis

Einleitung Aus der Schweizer Grundversorgung lagen bisher noch keine systematischen Daten zu kritischen Ereignissen und zum Sicherheitsklima vor. Aus diesem Grund wurde eine Befragung von Ärzten und Medizinischen Praxisassistentinnen (MPA) in Deutschschweizer Hausarztpraxen sowie ein Folgeprojekt spezifisch zur Telefon-Triage durchgeführt. Methoden Mit Hilfe eines standardisierten Fragebogens wurden Fachpersonen in Hausarztpraxen zu Sicherheitsrisiken und zum Sicherheitsklima in ihren Praxen befragt. Der Fragebogen enthielt neben Fragen zum Sicherheitsklima Beschreibungen von 23 kritischen Ereignissen in Hausarztpraxen, die bezüglich Häufigkeit des Auftretens in der Praxis in den vergangenen zwölf Monaten sowie der Schadensfolge beurteilt wurden, als das Ereignis zum letzten Mal in der Praxis aufgetreten ist. Zudem beantworteten Ärzte und MPA eine offene Frage, nach den für sie besonders relevanten Risiken für die Patientensicherheit in ihren Praxen. Im Folgeprojekt wurden Interviews und Gruppendiskussionen mit MPA und Ärzten geführt, um eine Prozessanalyse der Telefon-Triage durchzuführen und ein Hilfsmittel für Hausarztpraxen zur Stärkung einer sicheren Telefon-Triage zu entwickeln. Ergebnisse 630 Ärzte und MPA (50,2% Ärzte, 49,8% MPA) haben an der Studie teilgenommen. 30% der Ärzte und 17% der MPA gaben an, mindestens einen der untersuchten Ereignisse täglich oder wöchentlich in ihrer Praxis zu beobachten. Fehler bei der Dokumentation wurden am häufigsten beobachtet. Ereignisse, die sich aufgrund der Schadensfolge als besonders relevant erwiesen, waren Fehleinschätzungen bei Kontaktaufnahmen der Patienten mit der Praxis, Diagnosefehler, mangelnde Überwachung von Patienten nach therapeutischen Massnahmen und Fehler in Zusammenhang mit der Medikation. Die Medikation (28% der Nennungen), medizinische Verrichtungen in der Praxis (11%) und die Telefon-Triage (7%) wurden am häufigsten als die Risiken genannt, die die Studienteilnehmer in ihren Praxen gerne eliminieren würden. In Bezug auf das Sicherheitsklima erwiesen sich insbesondere Teamsitzungen und regelmässige Qualitätszirkel-Teilnahme als relevante Prädiktoren für die Dimension „Teambasierte Aktivitäten und Strategien zur Fehlerprävention“. Berufsgruppenunterschiede zwischen Ärzten und MPA konnten sowohl hinsichtlich der berichteten Sicherheitsrisiken, als auch beim Sicherheitsklima beobachtet werden. Fazit Die Ergebnisse der Studie legen die Telefon-Triage als bislang wenig beachteten jedoch sehr relevanten Sicherheitsbereich in der Grundversorgung dar. Um die Sicherheit der Telefon-Triage zu stärken, wurde ein Anschlussprojekt durchgeführt, aus dem heraus ein Leitfaden für Hausarztpraxen entwickelt wurde. Dieser Leitfaden soll Ärzte und MPA in einer gemeinsamen und kritischen Auseinandersetzung von Strukturen und Prozessen rund um die Telefon-Triage sowie der Entwicklung von Verbesserungsschritten unterstützen. Die systematisch beobachteten Berufsgruppenunterschiede sind ein wichtiger Hinweis dafür, dass das gesamte Praxisteam in die Analyse von Sicherheitsrisiken und die Entwicklung von Massnahmen einbezogen werden sollte. Nur so können Risiken umfassend erfasst und für alle Fachpersonen relevante und getragene Verbesserungen initiiert werden. Dieser Ansatz der Team-Involvierung bildet die Basis für den Praxisleitfaden zur Telefon-Triage.