scholarly journals Validating the Rainbow Model of Integrated Care Measurement Tool: results from three pilot studies in The Netherlands, Singapore and Australia

2017 ◽  
Vol 17 (3) ◽  
pp. 91 ◽  
Author(s):  
Pim Peter Valentijn ◽  
Lisa Angus ◽  
Inge Boesveld ◽  
Milawaty Nurjono ◽  
Dirk Ruwaard ◽  
...  
2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Mirella MN Minkman ◽  
Robbert P Vermeulen ◽  
Kees TB Ahaus ◽  
Robbert Huijsman

Author(s):  
Roelof Ettema ◽  
Goran Gumze ◽  
Katja Heikkinen ◽  
Kirsty Marshall

BackgroundCare recipients in care and welfare are increasingly presenting themselves with complex needs (Huber et al., 2016). An answer to this is the integrated organization of care and welfare in a way that personalized care is the measure (Topol, 2016). The reality, however, is that care and welfare are still mainly offered in a standardized, specialized and fragmented way. This imbalance between the need for care and the supply of care not only leads to under-treatment and over-treatment and thus to less (experienced) quality, but also entails the risk of mis-treatment, which means that patient safety is at stake (Berwick, 2005). It also leads to a reduction in the functioning of citizens and unnecessary healthcare cost (Olsson et al, 2009).Integrated CareIntegrated care is the by fellow human beings experienced smooth process of effective help, care and service provided by various disciplines in the zero line, the first line, the second line and the third line in healthcare and welfare, as close as possible (Ettema et al, 2018; Goodwin et al, 2015). Integrated care starts with an extensive assessment with the care recipient. Then the required care and services in the zero line, the first line, the second line and / or the third line are coordinated between different care providers. The care is then delivered to the person (fellow human) at home or as close as possible (Bruce and Parry, 2015; Evers and Paulus, 2015; Lewis, 2015; Spicer, 2015; Cringles, 2002).AimSupport societal participation, quality of live and reduce care demand and costs in people with complex care demands, through integration of healthcare and welfare servicesMethods (overview)1. Create best healthcare and welfare practices in Slovenia,  Poland, Austria, Norway, UK, Finland, The Netherlands: three integrated best care practices per involved country 2. Get insight in working mechanisms of favourable outcomes (by studying the contexts, mechanisms and outcomes) to enable personalised integrated care for meeting the complex care demand of people focussed on societal participation in all integrated care best practices.3. Disclose program design features and requirements regarding finance, governance, accountability and management for European policymakers, national policy makers, regional policymakers, national umbrella organisations for healthcare and welfare, funding organisations, and managers of healthcare and welfare organisations.4. Identify needs of healthcare and welfare deliverers for creating and supporting dynamic partnerships for integrating these care services for meeting complex care demands in a personalised way for the client.5. Studying desired behaviours of healthcare and welfare professionals, managers of healthcare and welfare organisations, members of involved funding organisations and national umbrella organisations for healthcare and welfare, regional policymakers, national policy makers and European policymakersInvolved partiesAlma Mater Europaea Maribor Slovenia, Jagiellonian University Krakow Poland, University Graz Austria, Kristiania University Oslo Norway, Salford University Manchester UK, University of Applied Sciences Turku Finland, University of Applied Sciences Utrecht The Netherlands (secretary), Rotterdam Stroke Service The Netherlands, Vilans National Centre of Expertise for Long-term Care The Netherlands, NIVEL Netherlands Institute for Health Services Research, International Foundation of Integrated Care IFIC.References1. Berwick DM. The John Eisenberg Lecture: Health Services Research as a Citizen in Improvement. Health Serv Res. 2005 Apr; 40(2): 317–336.2. Bruce D, Parry B. Integrated care: a Scottish perspective. London J Prim Care (Abingdon). 2015; 7(3): 44–48.3. Cringles MC. Developing an integrated care pathway to manage cancer pain across primary, secondary and tertiary care. International Journal of Palliative Nursing. 2002 May 8;247279.4. Ettema RGA, Eastwood JG, Schrijvers G. Towards Evidence Based Integrated Care. International journal of integrated care 2018;18(s2):293. DOI: 10.5334/ijic.s22935. Evers SM, Paulus AT. Health economics and integrated care: a growing and challenging relationship. Int J Integr Care. 2015 Jun 17;15:e024.6. Goodwin N, Dixon A, Anderson G, Wodchis W. Providing integrated care for older people with complex needs: lessons from seven international case studies. King’s Fund London; 2014.7. Huber M, van Vliet M, Giezenberg M, Winkens B, Heerkens Y, Dagnelie PC, Knottnerus JA. Towards a 'patient-centred' operationalisation of the new dynamic concept of health: a mixed methods study. BMJ Open. 2016 Jan 12;6(1):e010091. doi: 10.1136/bmjopen-2015-0100918. Lewis M. Integrated care in Wales: a summary position. London J Prim Care (Abingdon). 2015; 7(3): 49–54.9. Olsson EL, Hansson E, Ekman I, Karlsson J. A cost-effectiveness study of a patient-centred integrated care pathway. 2009 65;1626–1635.10. Spicer J. Integrated care in the UK: variations on a theme? London J Prim Care (Abingdon). 2015; 7(3): 41–43.11. Topol E. (2016) The Patient Will See You Now. The Future of Medicine Is in Your Hands. New York: Basic Books.


2015 ◽  
pp. 1177-1189 ◽  
Author(s):  
Ken Eason ◽  
Patrick Waterson ◽  
Priya Davda

Telehealth and telecare have been heralded as major mechanisms by which frail elderly people can continue to live at home but numerous pilot studies have not led to the adoption of these technologies as mainstream contributors to the health and social care of people in the community. This paper reviews why dissemination has proved difficult and concludes that one problem is that these technologies require considerable organisational changes if they are to be effective: successful implementation is not just a technical design issue but is a sociotechnical design challenge. The paper reviews the plans of 25 health communities in England to introduce integrated health and social care for the elderly. It concludes that these plans when implemented will produce organisational environments conducive to the mainstream deployment of telehealth and telecare. However, the plans focus on different kinds of integrated care and each makes different demands on telehealth and telecare. Progress on getting mainstream benefits from telehealth and telecare will therefore depend on building a number of different sociotechnical systems geared to different forms of integrated care and incorporating different forms of telehealth and telecare.


1996 ◽  
Vol 34 (3-4) ◽  
pp. 565-571 ◽  
Author(s):  
Findlay G. Edwards ◽  
N. Nirmalakhandan

Biological treatment of contaminated airstreams is a technology which has been used successfully in Germany and The Netherlands for twenty years. The technology can be utilized in a wide array of industries to treat numerous volatile chemicals. There are three categories of air phase bioreactors: biofilters, biotrickling filters, and bioscrubbers. Addition of nutrients and buffer capacity may be required. Many different types of support media can be used. Currently, design of airphase bioreactors is based upon guidelines, pilot studies, and experience gained from similar applications.


2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Jacqueline M Hartgerink ◽  
Jane M Cramm ◽  
Annemarie JBM de Vos ◽  
Ton JEM Bakker ◽  
Ewout W Steyerberg ◽  
...  

2020 ◽  
Vol 29 (1) ◽  
pp. 21
Author(s):  
Marieke Verheul MSc ◽  
Igor Van Laere ◽  
Dr Maria Van den Muijsenbergh ◽  
Will Van Genugten MSc

2020 ◽  
Author(s):  
Yixiang Huang ◽  
Paiyi Zhu ◽  
Lijin Chen ◽  
Xin Wang ◽  
Pim Valentijn

Abstract Background: The original Rainbow Model of Integrated Care Measurement Tool (RMIC-MT) is based on the Rainbow Model of Integrated Care (RMIC), which provides a comprehensive theoretical framework for integrated care. To translate and adapt the original care provider version of the RMIC-MT and evaluate its psychometric properties by a pilot study in Chinese primary care systems.Methods: The translation and adaptation process were performed in four steps, forward and back-translation, experts review and pre-testing. We conducted a cross-sectional study with 1610 community care professionals in all 79 community health stations in the Nanshan district. We analyzed the distribution of responses to each item to study the psychometric sensitivity. Exploratory factor analysis with principal axis extraction method and promax rotation was used to assess the construct validity. Cronbach’s alpha was utilized to ascertain the internal consistency reliability. Lastly, confirmation factor analysis was used to evaluate the exploratory factor analysis model fit.Results: During the translation and adaptation process, all 48 items were retained with some detailed modifications. No item was found to have psychometric sensitivity problems. Six factors (person- & community-centeredness, care integration, professional integration, organizational integration, cultural competence and technical competence) with 45 items were determined by exploratory factor analysis, accounting for 61.46% of the total variance. A standard Cronbach’s alpha of 0.940 and significant correlation among all items in the scale (>0.4) showed good internal consistency reliability of the tool. And, the model passed the majority of goodness-to-fit test by confirmation factor analysis Conclusions: The results showed initial satisfactory psychometric properties for the validation of the Chinese RMIC-MT provider version. Its application in China will promote the development of people-centered integrated primary care. However, further psychometric testing is needed in multiple primary care settings with both public and private community institutes.


2019 ◽  
Vol 24 (11) ◽  
pp. 538-542 ◽  
Author(s):  
Monica Duncan

There will be significant changes to the way in which primary and community health services are provided in the wake of the NHS Long Term Plan published in January 2019. Community nurses are already preparing themselves for these changes by exploring models of care that are patient-centred and link to neighbourhood, place and system levels. This article discusses two examples of such models of care, the Buurtzorg and Embrace model, both from the Netherlands. Styles of leadership and associated development, both within nursing and on a multi-professional basis will be crucial to ensure success. This article outlines Alban-Metcalfe's engaging transformational leadership model as a potential platform to move to flatter, more diverse teams and collective leadership.


2020 ◽  
Vol 33 (1) ◽  
pp. 86-106
Author(s):  
Kellie Leeson ◽  
Prem B Bhandari ◽  
Anna Myers ◽  
Dale Buscher

Abstract How do we know whether a refugee household is self-reliant if this is not measured? Although self-reliance has been promoted as a critical assistance strategy for refugees in recent years, there have been limited attempts to rigorously measure the concept. This field report introduces a new measurement tool to assess the movement toward self-reliance among refugee households. The development and utility of a tool to measure self-reliance are described using the pilot studies conducted in Ecuador, Egypt and Lebanon over a 9- to 18-month period. This report utilized unique panel data from 167 refugee households in Egypt and 94 households in Ecuador. The panel data was collected at two points in time (baseline and endline) using paper and pencil or Open Data Kit forms on tablets during face-to-face interviews. This panel group was used to perform the change analysis to examine the movement of households along a self-reliance continuum. Findings show that, overall, 59.8% of households in Ecuador and 64.7% of households in Egypt moved upward in composite score in self-reliance while less than 30% of households regressed in both countries. Further examination is needed to refine and evaluate the tool. The results provide an important starting point and insights into measuring self-reliance using simple indicators and an opportunity to reframe assistance around self-reliance, neither of which had previously been a focus of refugee assistance or relevant literature. It is believed that this methodology will be of use to academics and practitioners seeking to study refugee self-reliance around the world.


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