281 research outputs found

    Timing of imagery rescripting during schema therapy for borderline personality disorder: the LUCY trial

    Get PDF
    BackgroundEarly childhood adversity plays an important role in the etiology of borderline personality disorder (BPD). Current evidence suggests that trauma treatment for patients with BPD can be performed safely and that early trauma treatment has a positive effect on the course of PD. However, there is a scarcity of RCTs comparing the effects of the timing of trauma treatment during schema therapy (ST) for BPD on BPD severity. Therefore, the LUCY trial investigates the effects of the timing of trauma treatment by comparing early trauma treatment using imagery rescripting (ImRs) on the course of BPD during ST to trauma treatment in the middle of the treatment course.MethodsIn this multicenter RCT, two conditions are compared among 73 individuals with BPD. The participants receive combined individual and group ST in both conditions. However, in condition (A), participants directly start ImRs in the individual sessions in months 2–4, and in condition (B), participants receive ST-as-Usual (STAU), in which ImRs is not allowed during months 2–4. The treatment follows ST treatment protocols, consists of a fixed combination of individual sessions and group sessions with a maximum of nine patients, and has a maximum duration of 25 months. The primary outcome is change in BPD severity, which is assessed using the Borderline Personality Disorder Severity Index-5 by independent raters blinded to the treatment. Secondary outcome measures include treatment retention, disconnection/rejection schemas, general functioning, posttraumatic stress disorder symptoms, general psychopathological complaints, quality of life, happiness, schemas, and schema modes. Multilevel analysis will be performed to analyze and compare changes in BPD severity between conditions and generalized linear mixed model analyses to test predictors and moderators.DiscussionThis study will increase the knowledge on whether trauma treatment early in therapy positively affects the course of BPD manifestations during ST. When the early application of ImRs leads to a faster decrease in BPD manifestations, the treatment of BPD patients might be shortened, leading to improved treatment outcomes and decreased healthcare expenses. Moreover, the planned sub-studies will expand our knowledge of how ST works and the factors that influence the outcome of treatment

    Surviving the threat of COVID-19: A review of SMEs’ adaptive strategies

    Get PDF
    This study seeks to explore and assess the feasibility of SMEs’ adaptive strategies considering the limiting stimulus and peculiarity of SMEs in developing economies. Noting evidence paucity and fragmentation in relation to SMEs’ adaptive strategies during the pandemic (COVID-19), this study collates evidence related to the settings of developing economies as a way of augmenting the realities of the SME sector. The study assumes a literature review approach inclined on tracking available evidence on how SMEs maneuvered the challenges introduced by the COVID-19. The intuition presents to SMEs an opportunity to weigh the plausibility of alternative strategies to navigate the business now and for referral purposes in case of another crisis. Online trading, change in business models, remote work, reconfiguring budgets and reducing overheads, and re-negotiating debt obligations emerged as popular strategies adopted by SMEs. However, the efficacy of these strategies in developing countries remains a concern on account of inadequate stimulus packages, SMEs’ low management capacity to handle the changing business environment, operating losses, poor uptake of technology and technological literacy, the limiting costs linked to the adoption of technology amongst many. Policy imperatives designed to undo these limitations can prop the SME sector post the pandemic

    Fractures in pituitary adenoma patients from the Dutch National Registry of Growth Hormone Treatment in Adults

    Get PDF
    Purpose: The effects of growth hormone (GH) replacement therapy on fracture risk in adult GH deficient (GHD) patients with different etiologies of pituitary GHD are not well known, due to limited data. The aim of this study was to investigate characteristics and fracture occurrence at start of (baseline) and during long-term GH replacement therapy in GHD adults previously treated for Cushing’s disease (CD) or acromegaly, compared to patients with previous nonfunctioning pituitary adenoma (NFPA). Methods: From the Dutch National Registry of Growth Hormone Treatment in Adults, a nationwide surveillance study in severe GHD adults, all patients using ≄30 days of GH replacement therapy with previous NFPA (n = 783), CD (n = 180) and acromegaly (n = 65) were selected. Patient characteristics, fractures and potential influencing factors were investigated. Results: At baseline, patients with previous CD were younger, more often female and had more often a history of osteopenia or osteoporosis, whereas patients with previous acromegaly had more often received cranial radiotherapy and a longer duration between treatment of their pituitary tumor and start of adult GH replacement therapy. During follow-up, a fracture occurred in 3.8 % (n = 39) of all patients. Compared to patients with previous NFPA, only patients with previous acromegaly had an increased fracture risk after 6 years of GH replacement therapy. Conclusions: During GH replacement therapy, an increased fracture risk was observed in severe GHD adult patients previously treated for acromegaly, but not in those previously treated for CD, compared to severe GHD adult patients using GH replacement therapy because of previous NFPA. Further studies are needed to confirm these findings and to elucidate potential underlying mechanisms

    Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience.

    Get PDF
    To overcome the limitations of the state-of-the-art influenza surveillance systems in Europe, we established in 2008 a European-wide consortium aimed at introducing an innovative information and communication technology approach for a web-based surveillance system across different European countries, called Influenzanet. The system, based on earlier efforts in The Netherlands and Portugal, works with the participation of the population in each country to collect real-time information on the distribution of influenza-like illness cases through web surveys administered to volunteers reporting their symptoms (or lack of symptoms) every week during the influenza season. Such a large European-wide web-based monitoring infrastructure is intended to rapidly identify public health emergencies, contribute to understanding global trends, inform data-driven forecast models to assess the impact on the population, optimize the allocation of resources, and help in devising mitigation and containment measures. In this article, we describe the scientific and technological issues faced during the development and deployment of a flexible and readily deployable web tool capable of coping with the requirements of different countries for data collection, during either a public health emergency or an ordinary influenza season. Even though the system is based on previous successful experience, the implementation in each new country represented a separate scientific challenge. Only after more than 5 years of development are the existing platforms based on a plug-and-play tool that can be promptly deployed in any country wishing to be part of the Influenzanet network, now composed of The Netherlands, Belgium, Portugal, Italy, the UK, France, Sweden, Spain, Ireland, and Denmark

    Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe.

    Get PDF
    BACKGROUND: The wide availability of the Internet and the growth of digital communication technologies have become an important tool for epidemiological studies and health surveillance. Influenzanet is a participatory surveillance system monitoring the incidence of influenza-like illness (ILI) in Europe since 2003. It is based on data provided by volunteers who self-report their symptoms via the Internet throughout the influenza season and currently involves 10 countries. OBJECTIVE: In this paper, we describe the Influenzanet system and provide an overview of results from several analyses that have been performed with the collected data, which include participant representativeness analyses, data validation (comparing ILI incidence rates between Influenzanet and sentinel medical practice networks), identification of ILI risk factors, and influenza vaccine effectiveness (VE) studies previously published. Additionally, we present new VE analyses for the Netherlands, stratified by age and chronic illness and offer suggestions for further work and considerations on the continuity and sustainability of the participatory system. METHODS: Influenzanet comprises country-specific websites where residents can register to become volunteers to support influenza surveillance and have access to influenza-related information. Participants are recruited through different communication channels. Following registration, volunteers submit an intake questionnaire with their postal code and sociodemographic and medical characteristics, after which they are invited to report their symptoms via a weekly electronic newsletter reminder. Several thousands of participants have been engaged yearly in Influenzanet, with over 36,000 volunteers in the 2015-16 season alone. RESULTS: In summary, for some traits and in some countries (eg, influenza vaccination rates in the Netherlands), Influenzanet participants were representative of the general population. However, for other traits, they were not (eg, participants underrepresent the youngest and oldest age groups in 7 countries). The incidence of ILI in Influenzanet was found to be closely correlated although quantitatively higher than that obtained by the sentinel medical practice networks. Various risk factors for acquiring an ILI infection were identified. The VE studies performed with Influenzanet data suggest that this surveillance system could develop into a complementary tool to measure the effectiveness of the influenza vaccine, eventually in real time. CONCLUSIONS: Results from these analyses illustrate that Influenzanet has developed into a fast and flexible monitoring system that can complement the traditional influenza surveillance performed by sentinel medical practices. The uniformity of Influenzanet allows for direct comparison of ILI rates between countries. It also has the important advantage of yielding individual data, which can be used to identify risk factors. The way in which the Influenzanet system is constructed allows the collection of data that could be extended beyond those of ILI cases to monitor pandemic influenza and other common or emerging diseases
    • 

    corecore