Because major depressive disorder (MDD) has a strong negative impact on patients' lives, well–designed treatment programs are needed that address the lasting effects of MDD. Previous work has shown that such programs should not only focus on symptomatic recovery, but also on the subsequent personal recovery process. Currently, few programs with this specific focus exist. Therefore, this study aimed to assess the feasibility of a newly developed blended program to support the personal recovery process of MDD patients: Storytelling and Training to Advance Individual Recovery Skills (STAIRS). STAIRS is a program using peer support and guidance by experts by experience and clinicians, which can be added to regular depression treatment when symptomatic recovery is almost reached. Topics addressed in this program are: (1) effects of depression and treatment; (2) structure; (3) (self) stigma; (4) self-image; (5) meaning of life; (6) connection to others; (7) physical health; (8) relaxation; and (9) preventing relapse. Experiences with the STAIRS program were collected from five participating patients with questionnaires and a focus-group interview, as well as from four trainers using semi-structured interviews. Participants valued the topics addressed in STAIRS, the used working methods, the presence of an expert by experience and the ability to share experiences with peers. The use of an online platform and the involvement of others is seen as potentially supportive but turned out to be more challenging. Perceived effects of STAIRS include positive changes in participants' daily lives and their contacts with others. Overall, the results indicate that when implemented accessibly, STAIRS is a promising and feasible program to foster personal recovery among patients recovering from MDD.
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Background: Despite the availability of a wide variety of evidence-based treatments for major depressive disorder (MDD), many patients still experience impairments in their lives after remission. Programs are needed that effectively support patients in coping with these impairments. The program Storytelling and Training to Advance Individual Recovery Skills (STAIRS) was developed to address this need and combines the use of peer contact, expert-by-experience guidance, family support and professional blended care. The aim of the planned study is (1) to assess the efficacy of the STAIRS program in patients with remitted MDD, (2) to investigate patients’ subjective experiences with STAIRS, and (3) to evaluate the program’s cost-effectiveness. Methods: A concurrent mixed-methods randomized controlled trial design will be used. Patients aged between 18 and 65 years with remitted MDD (N = 140) will be randomized to either a group receiving care as usual (CAU) + the STAIRS-program or a control group receiving CAU + some basic psychoeducation. Quantitative efficacy data on functional and personal recovery and associated aspects will be collected using self-report questionnaires at the start of the intervention, immediately following the intervention, and at the six-month follow-up. Insights into patients’ experiences on perceived effects and the way in which different program elements contribute to this effect, as well as the usability and acceptability of the program, will be gained by conducting qualitative interviews with patients from the experimental group, who are selected using maximum variation sampling. Finally, data on healthcare resource use, productivity loss and quality of life will be collected and analysed to assess the cost-effectiveness and cost-utility of the STAIRS-program. Discussion: Well-designed recovery-oriented programs for patients suffering from MDD are scarce. If efficacy and cost-effectiveness are demonstrated with this study and patients experience the STAIRS program as usable and acceptable, this program can be a valuable addition to CAU. The qualitative interviews may give insights into what works for whom, which can be used to promote implementation. Trial registration: This trial was registered at ClinicalTrials.gov on 1 July 2021, registration number NCT05440812.
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Short horror fiction. The heavy footsteps on the stairs were just the beginning.
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This case report describes the process and outcome of an intervention where illness perceptions (IPs) were targeted in order to reduce limitations in daily activities. The patient was a 45-year-old woman diagnosed with posttraumatic secondary osteoarthritis of the lateral patella-femoral cartilage of the right knee. At baseline, the patient reported maladaptive IPs on the Brief Illness Perception Questionnaire Dutch Language Version and limitations in walking stairs, cycling and walking. Fewer limitations in daily activities are hypothesized by changing maladaptive IPs into more favourable IPs. In this case report, discussing maladaptive IPs with the patient was the main intervention. A participatory decision making model was used as a design by which the maladaptive IP were discussed. Six out of eight maladaptive IPs changed favourably and there was a clinically relevant decrease in limitations of daily activities. The Global Perceived Effect was rated as much improved
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Objective. There are no Dutch language disease-specific questionnaires for patients with patellofemoral pain syndrome available that could help Dutch physiotherapists to assess and monitor these symptoms and functional limitations. The aim of this study was to translate the original disease-specific Kujala Patellofemoral Score into Dutch and evaluate its reliability. Methods. The questionnaire was translated from English into Dutch in accordance with internationally recommended guidelines. Reliability was determined in 50 stable subjects with an interval of 1 week. The patient inclusion criteria were age between 14 and 60 years; knowledge of the Dutch language; and the presence of at least three of the following symptoms: pain while taking the stairs, pain when squatting, pain when running, pain when cycling, pain when sitting with knees flexed for a prolonged period, grinding of the patella and a positive clinical patella test. The internal consistency, test–retest reliability, measurement error and limits of agreement were calculated. Results. Internal consistency was 0.78 for the first assessment and 0.80 for the second assessment. The intraclass correlation coefficient (ICCagreement) between the first and second assessments was 0.98. The mean difference between the first and second measurements was 0.64, and standard deviation was 5.51. The standard error measurement was 3.9, and the smallest detectable change was 11. The Bland and Altman plot shows that the limits of agreement are 10.37 and 11.65. Conclusions. The results of the present study indicated that the test–retest reliability translated Dutch version of the Kujala Patellofemoral Score questionnaire is equivalent of the test– retest original English language version and has good internal consistency. Trial registration NTR (TC = 3258). Copyright © 2015 John Wiley & Sons, Ltd.
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To evaluate the construct validity and the inter-rater reliability of the Dutch Activity Measure for Post- Acute Care “6-clicks” Basic Mobility short form measuring the patient’s mobility in Dutch hospital care. First, the “6-clicks” was translated by using a forward-backward translation protocol. Next, 64 patients were assessed by the physiotherapist to determine the validity while being admitted to the Internal Medicine wards of a university medical center. Six hypotheses were tested regarding the construct “mobility” which showed that: Better “6-clicks” scores were related to less restrictive pre-admission living situations (p¼0.011), less restrictive discharge locations (p¼0.001), more independence in activities of daily living (p¼0.001) and less physiotherapy visits (p<0.001). A correlation was found between the “6-clicks” and length of stay (r¼0.408, p¼0.001), but not between the “6-clicks” and age (r¼0.180, p¼0.528). To determine the inter-rater reliability, an additional 50 patients were assessed by pairs of physiotherapists who independently scored the patients. Intraclass Correlation Coefficients of 0.920 (95%CI: 0.828–0.964) were found. The Kappa Coefficients for the individual items ranged from 0.649 (walking stairs) to 0.841 (sit-to-stand). The Dutch “6-clicks” shows a good construct validity and moderate-toexcellent inter-rater reliability when used to assess the mobility of hospitalized patients.
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This paper reports on the first stage of a research project1) that aims to incorporate objective measures of physical activity into health and lifestyle surveys. Physical activity is typically measured with questionnaires that are known to have measurement issues, and specifically, overestimate the amount of physical activity of the population. In a lab setting, 40 participants wore four different sensors on five different body parts, while performing various activities (sitting, standing, stepping with two intensities, bicycling with two intensities, walking stairs and jumping). During the first four activities, energy expenditure was measured by monitoring heart rate and the gas volume of in‐ and expired O2 and CO2. Participants subsequently wore two sensor systems (the ActivPAL on the thigh and the UKK on the waist) for a week. They also kept a diary keeping track of their physical activities, work and travel hours. Machine learning algorithms were trained with different methods to determine which sensor and which method was best able to differentiate the various activities and the intensity with which they were performed. It was found that the ActivPAL had the highest overall accuracy, possibly because the data generated on the upper tigh seems to be best distinguishing between different types of activities and therefore led to the highest accuracy. Accuracy could be slightly increased by including measures of heartrate. For recognizing intensity, three different measures were compared: allocation of MET values to activities (used by ActivPAL), median absolute deviation, and heart rate. It turns out that each method has merits and disadvantages, but median absolute deviation seems to be the most promishing metric. The search for the best method of gauging intensity is still ongoing. Subsequently, the algorithms developed for the lab data were used to determine physical activity in the week people wore the devices during their everyday activities. It quickly turned out that the models are far from ready to be used on free living data. Two approaches are suggested to remedy this: additional research with meticulously labelled free living data, e.g., by combining a Time Use Survey with accelerometer measurements. The second is to focus on better determining intensity of movement, e.g., with the help of unsupervised pattern recognition techniques. Accuracy was but one of the requirements for choosing a sensor system for subsequent research and ultimate implementation of sensor measurement in health surveys. Sensor position on the body, wearability, costs, usability, flexibility of analysis, response, and adherence to protocol equally determine the choice for a sensor. Also from these additional points of view, the activPAL is our sensor of choice.
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White paper Media Future Week Almere Het jaar 2011 werd door Neelie Kroes (Europees Commissaris ‘Digitale Agenda’) afgesloten met de presentatie van een nieuwe Europese richtlijn die ervoor moet zorgen dat overheden meer data voor hergebruik ter beschikking stellen. Open data is volgens Kroes 'goud waard'. Ook binnen de Nederlandse overheid groeit de aandacht voor open data. In de door het rijk geïnitieerde wedstrijd ‘Apps voor Nederland’ (http://www.appsvoornederland.nl/) konden deelnemers mobiele applicaties ontwikkelen met beschikbare overheidsdata. Onder die ontwikkelaars waren eerstejaars studenten Communication & Media Design van de Hogeschool Utrecht. Zij hebben eind vorig jaar enthousiast gepionierd en succesvolle concepten bedacht die gezien de overeenkomsten met de ‘prijswinnende applicaties’ (http://www.appsvoornederland.nl/nieuws/winnaars‐apps‐voor‐nederland‐bekend) zeker kans van slagen zouden hebben. Zie bijvoorbeeld de web‐based app ‘iHBO’ (http://www.appsvoornederland.nl/apps/ihbo) van Rein Krijgsman, Robert van Assenbergh en Pjotr Sen. Deze applicatie biedt aankomend studenten, ouders en decanen informatie op maat om een weloverwogen en goed geïnformeerde studiekeuze te kunnen maken. Het was volgens de studenten leuk en leerzaam om nieuwe dienstverlenende
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Within our research on robotic gas detection, we have focused on making a prototype based on Boston Dynamics SPOT, because it takes a lot of difficulties out of prototyping. For instance, it has its own obstacle avoidance algorithm, good drivers are available for ROS2, and SPOT is meant for outdoor navigation. Being a legged robot means that it can easily traverse curbs, shrubberies, unstable soil and even stairs. For this document, we are going to use the insights that we used when looking for a solution for SPOT.
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