The meaning of chakin placed on koita, as the evidence that temae has changed

textabstractIntroduction: There is growing interest in whether social media can capture patient-generated information relevant for medicines safety surveillance that cannot be found in traditional sources. Objective: The aim of this study was to evaluate the potential contribution of mining social media networks for medicines safety surveillance using the following associations as case studies: (1) rosiglitazone and cardiovascular events (i.e. stroke and myocardial infarction); and (2) human papilloma virus (HPV) vaccine and infertility. Methods: We collected publicly accessible, English-language posts on Facebook, Google+, and Twitter until September 2014. Data were queried for co-occurrence of keywords related to the drug/vaccine and event of interest within a post. Messages were analysed with respect to geographical distribution, context, linking to other web content, and author’s assertion regarding the supposed association. Results: A total of 2537 posts related to rosiglitazone/cardiovascular events and 2236 posts related to HPV vaccine/infertility were retrieved, with the majority of posts representing data from Twitter (98 and 85 %, respectively) and originating from users in the US. Approximately 21 % of rosiglitazone-related posts and 84 % of HPV vaccine-related posts referenced other web pages, mostly news items, law firms’ websites, or blogs. Assertion analysis predominantly showed affirmation of the association of rosiglitazone/cardiovascular events (72 %; n = 1821) and of HPV vaccine/infertility (79 %; n = 1758). Only ten posts described personal accounts of rosiglitazone/cardiovascular adverse event experiences, and nine posts described HPV vaccine problems related to infertility. Conclusions: Publicly available data from the considered social media networks were sparse and largely untrackable for the purpose of providing early clues of safety concerns regarding the prespecified case studies. Further research investigating other case studies and exploring other social media platforms are necessary to further characterise the usefulness of social media for safety surveillance

Resultaten verkenning ondersteuning professionals gezondheidsbevordering : Bijlage bij Plan van aanpak Professionals Gezond Versterkt 2010-2012

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Brand and generic use of inhalation medication and frequency of switching in children and adults : a population-based cohort study

BACKGROUND: The expiration of patents of brand inhalation medications and the ongoing pressure on healthcare budgets resulted in a growing market for generics. AIM: To study the use of brand and generic inhalation medication and the frequency of switching between brand and generic and between devices. In addition, we investigated whether switching affected adherence. METHODS: From dispensing data from the Dutch PHARMO Database Network a cohort aged ≥ 5 years, using ≥ 1 year of inhalation medication between 2003 and 2012 was selected. Switching was defined as changing from brand to generic or vice versa. In addition, we studied change in aerosol delivery device type (e.g., DPI, pMDI, and nebulizers). Adherence was calculated using the medication possession ratio (MPR). RESULTS: The total cohort comprised 70,053 patients with 1,604,488 dispensations. Per calendar year, 5% switched between brand and generic inhalation medication and 5% switched between devices. Median MPRs over the first 12 months ranged between 33 and 55%. Median MPR over the total period was lower after switch from brand to generic and vice versa for formoterol (44.5 vs. 42.1 and 63.5 vs. 53.8) and beclomethasone (93.8 vs. 59.8 and 81.3 vs. 55.9). CONCLUSION: Per year, switching between brand and generic inhalation medication was limited to 5% of the patients, switching between device types was observed in 5% as well. Adherence to both generic and brand inhalation medication was low. Effect of switching on adherence was contradictory; depending on time period, medication and type, and direction of switching. Further research on reasons for switching and potential impact on clinical outcomes is warranted

Alignment of vaccine codes using an ontology of vaccine descriptions

BACKGROUND: Vaccine information in European electronic health record (EHR) databases is represented using various clinical and database-specific coding systems and drug vocabularies. The lack of harmonization constitutes a challenge in reusing EHR data in collaborative benefit-risk studies about vaccines. METHODS: We designed an ontology of the properties that are commonly used in vaccine descriptions, called Ontology of Vaccine Descriptions (VaccO), with a dictionary for the analysis of multilingual vaccine descriptions. We implemented five algorithms for the alignment of vaccine coding systems, i.e., the identification of corresponding codes from different coding ystems, based on an analysis of the code descriptors. The algorithms were evaluated by comparing their results with manually created alignments in two reference sets including clinical and database-specific coding systems with multilingual code descriptors. RESULTS: The best-performing algorithm represented code descriptors as logical statements about entities in the VaccO ontology and used an ontology reasoner to infer common properties and identify corresponding vaccine codes. The evaluation demonstrated excellent performance of the approach (F-scores 0.91 and 0.96). CONCLUSION: The VaccO ontology allows the identification, representation, and comparison of heterogeneous descriptions of vaccines. The automatic alignment of vaccine coding systems can accelerate the readiness of EHR databases in collaborative vaccine studies

Dissemination of Direct Healthcare Professional Communications on Medication Errors for Medicinal Products in the EU:An Explorative Study on Relevant Factors

Introduction When serious medication errors (ME) are identified, communication to the field may be necessary. In the EU, communication of serious safety issues, such as medication errors associated with adverse drug reactions, is done through direct healthcare professional communications (DHPCs). We aimed to identify how often DHPCs about medication errors are distributed, and we explored factors associated with these ME DHPCs. Methods We performed a descriptive study of all centrally authorised products (CAPs) approved before 1 May 2019 in the EU. All DHPCs issued between 1 January 2001 and 1 May 2019 were reviewed for ME content. Characteristics of CAPs were collected from the website of the European Medicines Agency. A Kaplan-Meier survival analysis was performed to estimate the 5- and 10-year probability of the occurrence of a first ME DHPC. A logistic regression was performed to explore risk factors for ME DHPCs. Results A total of 678 CAPs were included, of which 35 required an ME DHPC during the study period. The 5-year probability for a CAP to have a first ME DHPC was 2.5% (95% CI 1.1-3.9) and the 10-year probability was 4.4% (95% CI 2.2-6.5). Among products with an ME DHPC, the 5-year probability of a second ME DHPC was 21.3% (95% CI 0.2-38.0). The risk of ME DHPCs was increased for products with multiple pharmaceutical formulations, enteral liquid or parenteral injection preparations, and products classified as nervous system agents or antineoplastic and immunomodulating agents. Conclusions The absolute number of ME DHPCs for CAPs is low and does not give rise to immediate concern. We identified potential risk factors for ME DHPCs that should be taken into account during approval procedures or line extensions

Suïcidepreventie : Aangrijpingspunten voor de publieke gezondheidszorg

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A Randomised Controlled Trial Assessing the Effect of Oral Diazepam on F-18-FDG Uptake in the Neck and Upper Chest Region

A distinctive pattern of physiological symmetrical uptake of F-18-fluorodeoxyglucose (F-18-FDG) in the neck and upper chest region is a phenomenon that is sometimes observed on positron emission tomography (PET) scans of some oncologic patients. Initially, it was assumed to be muscle uptake secondary to patient anxiety or tension, which could be prevented by diazepam treatment. However, PET-computed tomography data have shown that F-18-FDG uptake is not restricted to the musculature but is also localised within the non-muscular soft tissue, such as brown adipose tissue. The efficacy of benzodiazepine treatment to reduce this uptake has not been well established. Therefore, a randomised controlled trial was conducted to decide whether diazepam would decrease physiological F-18-FDG uptake in the neck and upper chest region (FDG-NUC). A randomised, double-blind, placebo-controlled trial was conducted to assess the effect on FDG-NUC of 5 mg diazepam, given orally 1 h before F-18-FDG injection. Patients younger than 40 years, having or suspected to have a malignancy, were eligible for inclusion. The primary endpoint was FDG-NUC, as assessed by visual analysis of whole-body PET scans by two independent observers. The secondary endpoint was clinical relevance of FDG-NUC. Fifty-two patients were included between September 2003 and January 2005. Twenty-eight patients (54%) received placebo; 24 (46%) received diazepam. FDG-NUC was seen in 25% of the patients in the diazepam group versus 29% in the placebo group. This difference was not statistically significant. No beneficial effect of administration of diazepam could be established. Pre-medication with benzodiazepines to diminish physiological uptake of F-18-FDG in the neck and upper chest region is not indicate

Application of a systems pharmacology-based placebo population model to analyze long-term data of postmenopausal osteoporosis

Osteoporosis is a progressive bone disease characterized by decreased bone mass resulting in increased fracture risk. The objective of this investigation was to test whether a recently developed disease systems analysis model for osteoporosis could describe disease progression in a placebo-treated population from the Early Postmenopausal Intervention Cohort (EPIC) study. First, we qualified the model using a subset from the placebo arm of the EPIC study of 222 women who had similar demographic characteristics as the 149 women from the placebo arm of the original population. Second, we applied the model to all 470 women. Bone mineral density (BMD) dynamics were changed to an indirect response model to describe lumbar spine and total hip BMD in this second population. This updated disease systems analys