In Nederland is een instrument nodig om persoonlijk herstel te meten bij mensen met ernstige psychische aandoeningen ten behoeve van Routine Outcome Measuring (ROM). Het doel van het huidige project waarvan verslag wordt gedaan, is om de ervaringen met het gebruik van deze vragenlijst nader te onderzoeken en vast te stellen of het instrument geschikt is gebruik in de praktijk van de GGZ bij ernstige psychische aandoeningen. Presentatie bij de wetenschappelijke symposium ronde II van het 13e Landelijke Phrenos Psychosecongres. Zwolle, Nederland. 23 november 2017.
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Interdisciplinary multimodal pain therapy (IMPT) is a biopsychosocial treatment approach for patients with chronic pain that comprises at least psychological and physiotherapeutic interventions. Core outcome sets (COSs) are currently developed in different medical fields to standardize and improve the selection of outcome domains, and measurement instruments in clinical trials, to make trial results meaningful, to pool trial results, and to allow indirect comparison between interventions. The objective of this study was to develop a COS of patient-relevant outcome domains for chronic pain in IMPT clinical trials. An international, multiprofessional panel (patient representatives [n = 5], physicians specialized in pain medicine [n = 5], physiotherapists [n = 5], clinical psychologists [n = 5], and methodological researchers [n = 5]) was recruited for a 3-stage consensus study, which consisted of a mixed-method approach comprising an exploratory systematic review, a preparing online survey to identify important outcome domains, a face-to-face consensus meeting to agree on COS domains, and a second online survey (Delphi) establishing agreement on definitions for the domains included. The panel agreed on the following 8 domains to be included into the COS for IMPT: pain intensity, pain frequency, physical activity, emotional wellbeing, satisfaction with social roles and activities, productivity (paid and unpaid, at home and at work, inclusive presentism and absenteeism), health-related quality of life, and patient's perception of treatment goal achievement. The complexity of chronic pain in a biopsychosocial context is reflected in the current recommendation and includes physical, mental, and social outcomes. In a subsequent step, measurement instruments will be identified via systematic reviews.
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Critical incident response (CIR) has evolved to require a high level of cultural competence, customization, and adaptability to meet the needs of client organizations while incorporating clinical best practices and current research. The Critical Incident Outcome Measure (CIOM) is a timely and pioneering evidence-based evaluative tool developed by Morneau Shepell over the course of a four-year period. The CIOM tool, based on the Workplace Outcomes Suite (WOS) tool originally developed in 2010, was developed in 2016 [Herlihy et.al., 2018]; beta tests and modifications, along with the publication of a validation paper, were completed in 2017; further feedback was incorporated and an implementation plan developed in 2018; and full program implementation began in 2019.
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Frailty is one of the greatest challenges for healthcare professionals. The level of frailty depends on several interrelated factors and can change over time while different interventions seem to be able to influence the level of frailty. Therefore, an outcome instrument to measure frailty with sound clinimetric properties is needed. A systematic review on evaluative measures of frailty was performed in the databases PubMed, EMBASE, Cinahl and Cochrane. The results show numerous instruments that measure the level of frailty. This article gives a clear overview of the content of these frailty instruments and describes their clinimetric properties. Frailty instruments, however, are often developed as prognostic instruments and have also been validated as such. The clinimetric properties of these instruments as evaluative outcome measures are unclear
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The central goal of this study is to clarify to what degree former education and students' personal characteristics (the 'Big Five personality characteristics', personal orientations on learning and students' study approach) may predict study outcome (required credits and study continuance). Analysis of the data gathered through questionnaires of 1,471 Universities of Applied Sciences students make clear that former Education did not come forth as a powerful predictor for Credits or Study Continuance. Significant predictors are Conscientiousness and Ambivalence and Lack of Regulation. The higher the scores on Conscientiousness the more credits students are bound to obtain and the more likely they will continue their education. On the other hand students with high scores on Ambivalence and Lack of Regulation will most likely obtain fewer Credits or drop out more easily. The question arises what these results mean for the present knowledge economy which demands an increase of inhabitants with an advanced level of education. Finally, implications and recommendations for future research are suggested.
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Background: Clinicians are currently challenged to support older adults to maintain a certain level of Functional Independence (FI). FI is defined as "functioning physically safely and independent from another person, within one's own context". A Core Outcome Set was developed to measure FI. The purpose of this study was to assess discriminative validity of the Core Outcome Set FI (COSFI) in a population of Dutch older adults (≥ 65 years) with different levels of FI. Secondary objective was to assess to what extent the underlying domains 'coping', 'empowerment' and 'health literacy' contribute to the COSFI in addition to the domain 'physical capacity'. Methods: A population of 200 community-dwelling older adults and older adults living in residential care facilities were evaluated by the COSFI. The COSFI contains measurements on the four domains of FI: physical capacity, coping, empowerment and health literacy. In line with the COSMIN Study Design checklist for Patient-reported outcome measurement instruments, predefined hypotheses regarding prediction accuracy and differences between three subgroups of FI were tested. Testing included ordinal logistic regression analysis, with main outcome prediction accuracy of the COSFI on a proxy indicator for FI. Results: Overall, the prediction accuracy of the COSFI was 68%. For older adults living at home and depending on help in (i)ADL, prediction accuracy was 58%. 60% of the preset hypotheses were confirmed. Only physical capacity measured with Short Physical Performance Battery was significantly associated with group membership. Adding health literacy with coping or empowerment to a model with physical capacity improved the model significantly (p < 0.01). Conclusions: The current composition of the COSFI, did not yet meet the COSMIN criteria for discriminative validity. However, with some adjustments, the COSFI potentially becomes a valuable instrument for clinical practice. Context-related factors, like the presence of a spouse, also may be a determining factor in this population. It is recommended to include context-related factors in further research on determining FI in subgroups of older people.
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Background: Outcome assessment is essential to understand the impact and recovery of burns of the hand and tailor treatment. There is however, a large variety of measures and outcome assessment is often incomplete. The aim was therefore to initiate a set of outcome assessments for use in a clinical setting. Method: A concept set was drafted, based on the framework of the International Classification of Functioning, which distinguished two phases, three patient states and included both patient reported and clinical outcomes. Subsequently, potential assessments were allocated to the various outcomes. This concept was discussed during the European Burns Association congress in 2013 and revised. The revision was sent to 65 colleagues from 28 institutions, accompanied by a survey. Results: Eleven surveys were returned from 16 persons representing 9 institutions from 6 countries. Based on the feedback, final revisions were made. Points raised were time investment and translations of not all assessments already available. Conclusions: With multidisciplinary and international input, a multidimensional set of outcome assessments for burns of the hand has been established, covering almost all domains of functioning. This first step towards more uniform clinical evaluation, will contribute to knowledge on outcome and effectiveness of treatment of hand burns.
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Background: Adverse outcome pathway (AOP) networks are versatile tools in toxicology and risk assessment that capture and visualize mechanisms driving toxicity originating from various data sources. They share a common structure consisting of a set of molecular initiating events and key events, connected by key event relationships, leading to the actual adverse outcome. AOP networks are to be considered living documents that should be frequently updated by feeding in new data. Such iterative optimization exercises are typically done manually, which not only is a time-consuming effort, but also bears the risk of overlooking critical data. The present study introduces a novel approach for AOP network optimization of a previously published AOP network on chemical-induced cholestasis using artificial intelligence to facilitate automated data collection followed by subsequent quantitative confidence assessment of molecular initiating events, key events, and key event relationships. Methods: Artificial intelligence-assisted data collection was performed by means of the free web platform Sysrev. Confidence levels of the tailored Bradford-Hill criteria were quantified for the purpose of weight-of-evidence assessment of the optimized AOP network. Scores were calculated for biological plausibility, empirical evidence, and essentiality, and were integrated into a total key event relationship confidence value. The optimized AOP network was visualized using Cytoscape with the node size representing the incidence of the key event and the edge size indicating the total confidence in the key event relationship. Results: This resulted in the identification of 38 and 135 unique key events and key event relationships, respectively. Transporter changes was the key event with the highest incidence, and formed the most confident key event relationship with the adverse outcome, cholestasis. Other important key events present in the AOP network include: nuclear receptor changes, intracellular bile acid accumulation, bile acid synthesis changes, oxidative stress, inflammation and apoptosis. Conclusions: This process led to the creation of an extensively informative AOP network focused on chemical-induced cholestasis. This optimized AOP network may serve as a mechanistic compass for the development of a battery of in vitro assays to reliably predict chemical-induced cholestatic injury.
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Adverse Outcome Pathways (AOPs) are conceptual frameworks that tie an initial perturbation (molecular initiat- ing event) to a phenotypic toxicological manifestation (adverse outcome), through a series of steps (key events). They provide therefore a standardized way to map and organize toxicological mechanistic information. As such, AOPs inform on key events underlying toxicity, thus supporting the development of New Approach Methodologies (NAMs), which aim to reduce the use of animal testing for toxicology purposes. However, the establishment of a novel AOP relies on the gathering of multiple streams of evidence and infor- mation, from available literature to knowledge databases. Often, this information is in the form of free text, also called unstructured text, which is not immediately digestible by a computer. This information is thus both tedious and increasingly time-consuming to process manually with the growing volume of data available. The advance- ment of machine learning provides alternative solutions to this challenge. To extract and organize information from relevant sources, it seems valuable to employ deep learning Natural Language Processing techniques. We review here some of the recent progress in the NLP field, and show how these techniques have already demonstrated value in the biomedical and toxicology areas. We also propose an approach to efficiently and reliably extract and combine relevant toxicological information from text. This data can be used to map underlying mechanisms that lead to toxicological effects and start building quantitative models, in particular AOPs, ultimately allowing animal-free human-based hazard and risk assessment.
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This systematic review evaluates the implementation of treatment integrity procedures in outcome studies of youth interventions targeting behavioral problems. The Implementation of Treatment Integrity Procedures Scale (ITIPS), developed by Perepletchikova, Treat, and Kazdin (2007), was adapted (ITIPS-A) and used to evaluate 32 outcome studies of evidence-based interventions for youths with externalizing behavioral problems. Integrity measures were found to be still rare in these studies. Of the studies that took integrity into account, 80% approached adequacy in implementing procedures for treatment integrity. The ITIPS-A is recommended as an instrument to guide development of integrity instruments and the implementation of treatment integrity procedures in youth care.
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