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The integrated recovery Scales

Introduction The Integrated Recovery Scales (IRS) was developed by the Dutch National Expertise board for routine outcome monitoring with severe mental illnesses. This board aimed to develop a multidimensional recovery measure directed at 1. clinical recovery, 2. physical health, 3. social recovery (work, social contacts, independent living) and 4. existential, personal recovery. The measure had to be short, suited for routine outcome monitoring and present the perspective of both mental health professionals and service users with severe mental illnesses. All aspects are assessed over a period of the pas 6 months. Objectives The objective of this research is validation of the Integral Recovery Scales and to test the revelance for clinical practice and police evaluation. Methods The instrument was tested with 500 individuals with severe mental illnesses (80% individuals with a psychotic disorder), of whom 200 were followed up for 1 year. For the questions concerning clinical recovery, physical health and social recovery mental health care workers conducted semi structured interviews with people living with serious illnesses. The questions concerning personal health were self-rated. We analyzed interrater reliability, convergent and divergent validity and sensitivity to change. Results The instrument has a good validity and is easy to complete for service users and mental health care workers and appropriate for clinical and policy evaluation goals. Conclusions The Integrated Recovery Scales can be a useful instrument for a simple and meaningful routine outcome monitoring. Page: 121

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Integrated Recovery Scale IRS

The Integrated Recovery Scale IRS was developed by Dutch National Expertise board for Routine Outcome Monitoring. Recovery is multi dimensional: 1. Symptomatic recovery 2. Physical health, 3. Societal recovery 4. Existential: personal recovery. The validation process and first outcomes of the instrument are described.

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Measuring recovery in participants with a schizophrenia spectrum disorder

This study evaluates psychometric properties of the Individual Recovery Outcomes Counter (I.ROC) in a Dutch population of participants with a schizophrenia spectrum disorder (SSD). B. Esther Sportel1*† , Hettie Aardema1†, Nynke Boonstra2 , Johannes Arends1 , Bridey Rudd3 , Margot J. Metz4 , Stynke Castelein5 and Gerdina H.M. Pijnenborg6

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Measuring recovery in participants with a schizophrenia spectrum disorder

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Climate Adaptation in the Northern Netherlands

The Northern Netherlands is like many delta’s prone to a wide range of climate change effects. Given the region its long history with floods and adaptation, there are numerous initiatives to be found that tried to battle these effects. As part of the Climate Adaptation Week Groningen, an inventory was made of these initiatives. The most inspiring ones were coined ‘best practices’, and analysed in order to learn lessons. A distinction was made between 4 regional landscape types. The first consists of the coastline itself, where the effects of the rising sea level begin to show. The second covers the farmlands near the coastlines, where challenges such as salinisation and the loss of biodiversity prevail. A third landscape covers the historically compact cities, which have to deal with rising temperatures and heavy rainfall in increasingly limited spaces. The fourth and final landscape comprises the wetlands surrounding the cities, where the natural capacity to retain and store rainwater is undermined by its agriculture usage. Most of these challenges form a risk for maintaining a liveable region. The best practices that were collected show a diverse set of innovations and experiments, both on small and large scales. Three main characteristics could be distinguished that illustrate trends in climate adaptation practices. First, many best practices were aimed at restoring and embracing the natural capacity of the different landscapes, giving more and more room for the building with nature concept as part of building resilience. Second, climate adaptation is seldomly focussed on as the sole function of a spatial intervention, and is almost always part of integrated plans in which biodiversity, agriculture, recreation or other themes are prolonged with it. A third and last characteristic shows that many projects embed a strong focus on the historical context of places as a source of inspiration and cultural identity. The best practices show how different ways of adapting are emerging and can inspire planners across the world.

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Integrated flood disaster management and spatial information

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 147-154, 2014www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/147/2014/doi:10.5194/isprsarchives-XL-8-147-2014Integrated flood disaster management and spatial information: Case studies ofNetherlands and IndiaS. Zlatanova1, T. Ghawana2, A. Kaur2, and J. M. M. Neuvel31Faculty of Architecture, Jullianalaan, TU Delft, 134, 2628BL Delft, the Netherlands2Centre for Disaster Management Studies, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, New Delhi, P.O. Box-110078, India3Saxion University of Applied Sciences, Risk management, Handelskade 75, 7417 DH Deventer, the NetherlandsKeywords: Floods, Spatial Information Infrastructure, GIS, Risk Management, Emergency Management Abstract. Spatial Information is an integral part of flood management practices which include risk management &emergency response processes. Although risk & emergency management activities have their own characteristics, forexample, related to the time scales, time pressure, activities & actors involved, it is still possible to identify at least onecommon challenge that constrains the ability of risk & emergency management to plan for & manage emergencieseffectively and efficiently i.e. the need for better information. Considering this aspect, this paper explores flood managementin Netherlands& India with an emphasis on spatial information requirements of each system. The paper examines theactivities, actors & information needs related to flood management. Changing perspectives on flood management inNetherlands are studied where additional attention is being paid to the organization and preparation of flood emergencymanagement. Role of different key actors involved in risk management is explored. Indian Flood management guidelines, byNational Disaster Management Authority, are analyzed in context of their history, institutional framework, achievements andgaps. Flood Forecasting System of Central Water Commission of India is also analyzed in context of spatial dimensions.Further, information overlap between risk & emergency management from the perspectives of spatial planners & emergencyresponders and role of GIS based modelling / simulation is analyzed. Finally, the need for an integrated spatial informationstructure is explained & discussed in detail. This examination of flood management practices in the Netherlands and Indiawith an emphasis on the required spatial information in these practices has revealed an increased recognition of the stronginterdependence between risk management and emergency response processes. Consequently, the importance of anintegrated spatial information infrastructure that facilitates the process of both risk and emergency management isaddressed.Conference Paper (PDF, 1063 KB) Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 147-154, 2014www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/147/2014/doi:10.5194/isprsarchives-XL-8-147-2014Integrated flood disaster management and spatial information: Case studies ofNetherlands and IndiaS. Zlatanova1, T. Ghawana2, A. Kaur2, and J. M. M. Neuvel31Faculty of Architecture, Jullianalaan, TU Delft, 134, 2628BL Delft, the Netherlands2Centre for Disaster Management Studies, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, New Delhi, P.O. Box-110078, India3Saxion University of Applied Sciences, Risk management, Handelskade 75, 7417 DH Deventer, the NetherlandsKeywords: Floods, Spatial Information Infrastructure, GIS, Risk Management, Emergency ManagementAbstract. Spatial Information is an integral part of flood management practices which include risk management &emergency response processes. Although risk & emergency management activities have their own characteristics, forexample, related to the time scales, time pressure, activities & actors involved, it is still possible to identify at least onecommon&

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Integrated flood disaster management and spatial information

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The efficacy of a blended intervention to improve physical activity and protein intake for optimal physical recovery after oncological gastrointestinal and lung cancer surgery, the Optimal Physical Recovery After Hospitalization (OPRAH) trial

Background: Improving physical activity, especially in combination with optimizing protein intake, after surgery has a potential positive effect on recovery of physical functioning in patients after gastrointestinal and lung cancer surgery. The aim of this randomized controlled trial is to evaluate the efficacy of a blended intervention to improve physical activity and protein intake after hospital discharge on recovery of physical functioning in these patients. Methods: In this multicenter single-blinded randomized controlled trial, 161 adult patients scheduled for elective gastrointestinal or lung cancer surgery will be randomly assigned to the intervention or control group. The purpose of the Optimal Physical Recovery After Hospitalization (OPRAH) intervention is to encourage self-management of patients in their functional recovery, by using a smartphone application and corresponding accelerometer in combination with coaching by a physiotherapist and dietician during three months after hospital discharge. Study outcomes will be measured prior to surgery (baseline) and one, four, eight, and twelve weeks and six months after hospital discharge. The primary outcome is recovery in physical functioning six months after surgery, and the most important secondary outcome is physical activity. Other outcomes include lean body mass, muscle mass, protein intake, symptoms, physical performance, self-reported limitations in activities and participation, self-efficacy, hospital readmissions and adverse events. Discussion: The results of this study will demonstrate whether a blended intervention to support patients increasing their level of physical activity and protein intake after hospital discharge improves recovery in physical functioning in patients after gastrointestinal and lung cancer surgery. Trial registration: The trial has been registered at the International Clinical Trials Registry Platform at 14–10-2021 with registration number NL9793. Trial registration data are presented in Table 1.

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The efficacy of a blended intervention to improve physical activity and protein intake for optimal physical recovery after oncological gastrointestinal and lung cancer surgery, the Optimal Physical Recovery After Hospitalization (OPRAH) trial

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Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain and to compare this with current practice and ‘traditional’ prediction modeling. Methods Prognostic cohort-study in primary care physiotherapy. Patients (n = 247) with acute low back pain (= one month) consulting physiotherapists were included. Candidate predictors were assessed by questionnaire at baseline and (to capture early recovery) after one and two weeks. Primary outcome was non-recovery after three months, defined as at least mild pain (Numeric Rating Scale > 2/10). Machine learning models to predict non-recovery were developed and internally validated, and compared with two current practices in physiotherapy (STarT Back tool and physiotherapists’ expectation) and ‘traditional’ logistic regression analysis. Results Forty-seven percent of the participants did not recover at three months. The best performing machine learning model showed acceptable predictive performance (area under the curve: 0.66). Although this was no better than a’traditional’ logistic regression model, it outperformed current practice. Conclusions We developed two prognostic models containing partially different predictors, with acceptable performance for predicting (non-)recovery in patients with acute LBP, which was better than current practice. Our prognostic models have the potential of integration in a clinical decision support system to facilitate data-driven, personalized treatment of acute low back pain, but needs external validation first.

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Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

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Steps to recovery: Body weight-supported treadmill training for critically ill patients: A randomized controlled trial

PurposeEarly mobilization of critically ill patients improves functional recovery, but is often hampered by tubes, drains, monitoring devices and muscular weakness. A mobile treadmill with bodyweight support facilitates early mobilization and may shorten recovery time to independent ambulation as compared to usual care physiotherapy alone.Materials and methodsSingle center RCT, comparing daily bodyweight supported treadmill training (BWSTT) with usual care physiotherapy, in patients who had been or were mechanically ventilated (≥48 h) with ≥MRC grade 2 quadriceps muscle strength. BWSTT consisted of daily treadmill training in addition to usual care physiotherapy (PT). Primary outcome was time to independent ambulation measured in days, using the Functional Ambulation Categories (FAC-score: 3). Secondary outcomes included hospital length of stay and serious adverse events.ResultsThe median (IQR) time to independent ambulation was 6 (3 to 9) days in the BWSTT group (n = 19) compared to 11 (7 to 23) days in the usual care group (n = 21, p = 0.063). Hospital length of stay was significantly different in favour of the BWSTT group (p = 0.037). No serious adverse events occurred.InterpretationBWSTT seems a promising intervention to enhance recovery of ambulation and shorten hospital length of stay of ICU patients, justifying a sufficiently powered multicenter RCT.Trial registration number: Dutch Trial Register ID: NTR6943.

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Steps to recovery: Body weight-supported treadmill training for critically ill patients: A randomized controlled trial

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On the Necessity of an Integrated, Participative and Adaptive Approach to Sustainable Urban Environmental Quality Planning

From the article : "Based on a review of recent literature, this paper addresses the question of how urban planners can steer urban environmental quality, given the fact that it ismultidimensional in character, is assessed largely in subjective terms and varies across time. A novel perspective of urban environmental quality is proposed, simultaneously exploring three questions that are at the core of planning and designing cities: ‘quality of what?’, ‘quality for whom?’ and ‘quality at what time?’. The dilemmas that urban planners face in answering these questions are illustrated using secondary material. This approach provides perspectives for action. Rather than further detailing the exact nature of urban quality, it calls for sustainable urban environmental quality planning that is integrated, participative and adaptive" ( wileyonlinelibrary.com ) DOI: 10.1002/eet.1759 - Preprint available for free download.

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The integrated recovery Scales

Integrated Recovery Scale IRS

Measuring recovery in participants with a schizophrenia spectrum disorder

Climate Adaptation in the Northern Netherlands

Integrated flood disaster management and spatial information

The efficacy of a blended intervention to improve physical activity and protein intake for optimal physical recovery after oncological gastrointestinal and lung cancer surgery, the Optimal Physical Recovery After Hospitalization (OPRAH) trial

Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

Steps to recovery: Body weight-supported treadmill training for critically ill patients: A randomized controlled trial

On the Necessity of an Integrated, Participative and Adaptive Approach to Sustainable Urban Environmental Quality Planning

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The integrated recovery Scales

Integrated Recovery Scale IRS

Measuring recovery in participants with a schizophrenia spectrum disorder

Climate Adaptation in the Northern Netherlands

Integrated flood disaster management and spatial information

The efficacy of a blended intervention to improve physical activity and protein intake for optimal physical recovery after oncological gastrointestinal and lung cancer surgery, the Optimal Physical Recovery After Hospitalization (OPRAH) trial

Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

Steps to recovery: Body weight-supported treadmill training for critically ill patients: A randomized controlled trial

On the Necessity of an Integrated, Participative and Adaptive Approach to Sustainable Urban Environmental Quality Planning