scholarly journals Evaluating an integrated care programme for frail elderly using Multi-Criteria Decision Analysis. The design of a case study in SELFIE

2018 ◽  
Vol 18 (s2) ◽  
pp. 128
Author(s):  
Maaike Jennifer Hoedemakers ◽  
Milad Karimi ◽  
Willemijn Looman ◽  
Maureen Rutten-van Molken
Keyword(s):  
Decision Analysis ◽  
Integrated Care ◽  
Frail Elderly ◽  
Care Programme ◽  
Multi Criteria Decision Analysis

scholarly journals Evaluating an integrated care pathway for frail elderly patients in Norway using multi-criteria decision analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Kamrul Islam ◽  
Sabine Ruths ◽  
Kristian Jansen ◽  
Runa Falck ◽  
Maureen Rutten-van Mölken ◽  
...  
Keyword(s):  
Elderly Patients ◽  
Decision Analysis ◽  
Usual Care ◽  
Integrated Care ◽  
Frail Elderly ◽  
Well Being ◽  
Large Set ◽  
Multi Criteria Decision Analysis ◽  
Prospective Longitudinal

Abstract Background To provide value-based care for patients with multi-morbidity, innovative integrated care programmes and comprehensive evaluations of such programmes are required. In Norway, a new programme called “Holistic Continuity of Patient Care” (HCPC) addresses the issue of multi-morbidity by providing integrated care within learning networks for frail elderly patients who receive municipal home care services or a short-term stay in a nursing home. This study conducts a multi-criteria decision analysis (MCDA) to evaluate whether the HCPC programme performs better on a large set of outcomes corresponding to the ‘triple aim’ compared to usual care. Methods Prospective longitudinal survey data were collected at baseline and follow-up after 6-months. The assessment of HCPC was implemented by a novel MCDA framework. The relative weights of importance of the outcomes used in the MCDA were obtained from a discrete choice experiment among five different groups of stakeholders. The performance score was estimated using a quasi-experimental design and linear mixed methods. Performance scores were standardized and multiplied by their weights of importance to obtain the overall MCDA value by stakeholder group. Results At baseline in the HCPC and usual care groups, respectively, 120 and 89 patients responded, of whom 87 and 41 responded at follow-up. The average age at baseline was 80.0 years for HCPC and 83.6 for usual care. Matching reduced the standardized differences between the groups for patient background characteristics and outcome variables. The MCDA results indicated that HCPC was preferred to usual care irrespective of stakeholders. The better performance of HCPC was mostly driven by improvements in enjoyment of life, psychological well-being, and social relationships and participation. Results were consistent with sensitivity analyses using Monte Carlo simulation. Conclusion Frail elderly with multi-morbidity represent complex health problems at large costs for society in terms of health- and social care. This study is a novel contribution to assessing and understanding HCPC programme performance respecting the multi-dimensionality of desired outcomes. Integrated care programmes like HCPC may improve well-being of patients, be cost-saving, and contribute to the pursuit of evidence based gradual reforms in the care of frail elderly.

Using multi criteria decision analysis to evaluate nanotechnology: nAg enabled textiles as a case study

2017 ◽  
Vol 4 (8) ◽  
pp. 1647-1655 ◽  
Author(s):  
Andrea L. Hicks
Keyword(s):  
Decision Analysis ◽  
Multi Criteria Decision Analysis

Nanosilver enabled textiles represent an advancement in clothing technology, due to their antimicrobial nature.

Risiko- und Notfallmanagement unter Unsicherheit (Teil 2)

2011 ◽  
Vol 52 (2) ◽  
pp. 12-16
Author(s):  
Jutta Geldermann ◽  
Valentin Bertsch ◽  
Florian Gering
Keyword(s):  
Monte Carlo ◽  
Decision Analysis ◽  
Supply Chains ◽  
Decision Processes ◽  
Decision Makers ◽  
Decision Situation ◽  
Multi Criteria Decision Analysis ◽  
Accident Scenario ◽  
Complex Decision

Komplexe Entscheidungssituationen, wie sie beispielsweise im Notfall- und Sanierungsmanagement nach einem kerntechnischen Störfall auftreten, erfordern eine Berücksichtigung technischer, ökonomischer, ökologischer, sozio-psychologischer und politischer Aspekte. Ansätze der Mehrzielentscheidungsunterstützung ermöglichen eine aggregierte Betrachtung verschiedener Aspekte, das Miteinbeziehen der subjektiven Präferenzen der Entscheidungsträger und tragen zu mehr Transparenz und Nachvollziehbarkeit von Entscheidungsprozessen bei. Dieser Beitrag befasst sich schwerpunktmäßig mit der Betrachtung von Unsicherheiten in solchen Entscheidungsprozessen. Zur Modellierung, Fortpflanzung und Visualisierung von Unsicherheiten wird ein Monte-Carlo-Ansatz vorgestellt und beispielhaft auf Daten eines fiktiven nuklearen Unfallszenarios angewendet. Generell ist der Ansatz jedoch auf allgemeine komplexe Entscheidungssituationen erweiterbar, insbesondere auf den Bereich sonstiger industrieller Notfälle. Eine interessante Fragestellung besteht weiterhin in der Untersuchung der Auswirkungen industrieller Notfälle auf die gesamte Wertschöpfungskette. Der erste Teil des Aufsatzes wurde bereits in Der Betriebswirt 1/2011 veröffentlicht, der letzte Teil folgt in Ausgabe 3/2011. Complex decision situations, such as in nuclear emergency and remediation management, require the consideration of technical, economic, ecological, socio-psychological and political aspects. Approaches for Multi-Criteria Decision Analysis (MCDA) help to take into account various incommensurable aspects and subjective preferences of the decision makers and thus contribute to transparency and traceability of decision processes. This paper focuses on the handling of uncertainties in such decision processes. Monte Carlo approaches can be used to model, propagate and finally visualise the uncertainties, as a case study on a hypothetical radiological accident scenario illustrates. In general, the presented approach can be adopted for any complex decision situation, especially for industrial emergencies. Further research would be necessary for the analysis of their consequences for entire supply chains. Keywords: risiko und notfallmanagement unter unsicherheit

scholarly journals Comprehensive Assessment of Water Sensitive Urban Design Practices based on Multi-criteria Decision Analysis via a Case Study of the University of Melbourne, Australia

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2885
Author(s):  
Hanxiang Xiong ◽  
Yafei Sun ◽  
Xingwei Ren
Keyword(s):  
Decision Analysis ◽  
Urban Design ◽  
Comprehensive Assessment ◽  
Multi Criteria Decision Analysis ◽  
Water Sensitive Urban Design ◽  
Final Score ◽  
Green Stormwater Infrastructure ◽  
A Site ◽  
The University

Water sensitive urban design (WSUD), as a typical green stormwater infrastructure (GSI), contains various facilities to decrease the urbanization impacts and enhance the values of amenity, ecosystem, and livability in Australia. Although WSUD has developed over 30 years, existing studies for WSUD performances have sometimes ignored its economic and social benefits, and there is still a lack of an integrated framework to optimize the GSI combinations based on various criteria in a site. This paper aims to utilize “score-rank-select” strategy to comprehensively assess WSUD combination scenarios from functional, economic, social, and environmental aspects, by taking the University of Melbourne (Parkville campus) as a case study. In detail, multi-criteria decision analysis (MCDA) was used for weight determination and scenario comparison. The results showed that scenario 4 with 52% green WSUD facilities had the highest assessment score (0.771) among the five scenarios, while the final score (0.758) of scenario 5 was lower than scenario 4 although its green facility proportion reached 69%. The trade-off relation between the proportion of grey and green WSUD facilities was further demonstrated. Additionally, this paper strongly recommends that the MCDA-based comprehensive assessment framework described here can be generally promoted for the water sector to solve the decision-making problems. The use of such a framework can further promote sustainable development by helping water managers to make informed and inclusive decisions involving a variety of factors.

GIS-MULTI CRITERIA DECISION ANALYSIS FOR LAND ALLOCATION IN CONFLICTING PURPOSE Case Study: Adjoining Area of D’Aguilar National Park, Brisbane, Australia

2021 ◽  
Vol 23 (1) ◽  
pp. 53
Author(s):  
Muhamad Iqbal Januadi Putra
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
National Park ◽  
Land Area ◽  
Conservation Area ◽  
Multi Criteria Decision Analysis ◽  
Land Use Conflict ◽  
Adjoining Area ◽  
Landscape Value

<p>While there are much research has been conducted to apply the Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) method to determine the suitability area for a particular purpose, only limited research has tried to examine the different approach to apply this method for the conflicting purpose. One area that has the potential to experience land use conflict in the future is the adjoining area of D’Aguilar National Park, Brisbane, Australia, due to the presence of biodiversity landscape value that needs to be protected. The objective of this paper is to allocate an area for each both residential development and conservation area in the adjoining area of D’Aguilar National Park. This research covers the method of GIS in processing the MCDA to develop the model which has many factors to support the decision making, including for the conflicting purpose.  Moreover, the method also used GIS-fuzzy MCDA or widely known as GIS-Fuzzy MCDA (GIS-FMCDA). The result of this research shows that allocating the conflicting land area is quite different from the non-conflicting one. Applying MCDA for the conflicting purpose requires different decision making to show which area would be optimal to allocate.</p>

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