Vård i livets slut av personer med demens. Personal och anhörigas upplevelse av given vård : En metasyntes

Palliativt förhållningssätt kännetecknas av helhetssyn av människan och uppnås genom stöttning av individen att leva med värdighet och största möjliga välbefinnande till livets slut oavsett diagnos eller ålder. Demens är en sjukdom som är svårt handikappande för den som drabbas och för de anhöriga är sjukdomen förödande. Den palliativa vården av personer med demens är inte optimerad. Studier visar att det dels beror på demenssjukdomen som är svår att vårda och dels för att stöd till de personer som vårdar sina anhöriga och det sociala kommunala nätverket har brister. Syfte: Att analysera upplevelsen av given vård i livets slutskede hos personer med demensdiagnos ur personalens och anhörigas perspektiv. Metod: Metasyntes utförd med Howell Major och Savin-Badins analysmodell, Qualitative Research Synthesis. Resultat: Kunskap och personcentrering var de två begrepp som blev produkten av syntesen. Begreppen fungerar som motsatser, om det finns kunskap och personcentrering så finns en bra upplevelse av given vård hos personal och anhöriga och om det brister i kunskap och personcentrering blir upplevelsen sämre. Diskussion: Kunskap om demens bland personal har i syntesen visats vara en indikator för god vård vid livets slut. Utbildning i demenssjukdom bör ske kontinuerligt och på olika nivåer beroende på vilken personalkategori som utbildas. Konklusion: Palliativ vård och demens måste få utrymme i utbildningarna av all personal, från undersköterska till specialistläkare.

Student Thesis Level: Master’s Thesis in Business Administration Corporate Social Responsibility (CSR) networking : A case study on why members join CSR network and why are they sharing their knowledge

Purpose – This research focuses on finding the reasons, why members from different sectors join a cross-sector/multi-stakeholder CSR network and what motivates them to share (or not to share) their knowledge of CSR and their best practices. Design/methodology/approach – Semi-structured interviews were conducted with members of the largest cross-sector CSR network in Sweden. The sample base of 15 people was chosen to be able to represent a wider variety of members from each participating sectors. As well as the CEO of the intermediary organization was interviewed. The interviews were conducted via email and telephone. Findings – The findings include several reasons linked to the business case of CSR such as stakeholder pressure, competitive advantage, legitimacy and reputation as well as new reasons like the importance of CSR, and the access of further knowledge in the field. Further reasons are in line with members wanting to join a network, such as access to contact or having personal contacts. As to why members are sharing their CSR knowledge, the findings indicate to inspire others, to show CSR commitment, to be visible, it leads to business opportunity and the access of others knowledge, and because it was requested. Reasons for not sharing their knowledge would be the lack of opportunity, lack of time and the lack of experience to do so. Originality/value – The research contributes to existing studies, which focused on Corporate Social Responsibility and cross-sector networking as well as to inter-organizational knowledge sharing in the field of CSR.

How does data quality in a network affect heuristic solutions?

To have good data quality with high complexity is often seen to be important. Intuition says that the higher accuracy and complexity the data have the better the analytic solutions becomes if it is possible to handle the increasing computing time. However, for most of the practical computational problems, high complexity data means that computational times become too long or that heuristics used to solve the problem have difficulties to reach good solutions. This is even further stressed when the size of the combinatorial problem increases. Consequently, we often need a simplified data to deal with complex combinatorial problems. In this study we stress the question of how the complexity and accuracy in a network affect the quality of the heuristic solutions for different sizes of the combinatorial problem. We evaluate this question by applying the commonly used p-median model, which is used to find optimal locations in a network of p supply points that serve n demand points. To evaluate this, we vary both the accuracy (the number of nodes) of the network and the size of the combinatorial problem (p). The investigation is conducted by the means of a case study in a region in Sweden with an asymmetrically distributed population (15,000 weighted demand points), Dalecarlia. To locate 5 to 50 supply points we use the national transport administrations official road network (NVDB). The road network consists of 1.5 million nodes. To find the optimal location we start with 500 candidate nodes in the network and increase the number of candidate nodes in steps up to 67,000 (which is aggregated from the 1.5 million nodes). To find the optimal solution we use a simulated annealing algorithm with adaptive tuning of the temperature. The results show that there is a limited improvement in the optimal solutions when the accuracy in the road network increase and the combinatorial problem (low p) is simple. When the combinatorial problem is complex (large p) the improvements of increasing the accuracy in the road network are much larger. The results also show that choice of the best accuracy of the network depends on the complexity of the combinatorial (varying p) problem.