Frågeställningar: Hur påverkas konsumtionen av digitala nyheter av individuella preferenser och ålder? Hur påverkas inställningen till digitala nyheter på olika utlämningsformer av individers preferenser och ålder? Syfte: Studiens syfte är att beskriva konsumtionen av digitala nyheter i olika åldersgrupper och att analysera konsumenters individuella preferenser gällande detta. Vidare är syftet att analysera de faktorer som påverkar konsumtionen av digitala nyheter. Ett delsyfte är även att beskriva och analysera olika åldersgruppers preferenser och inställning gällande olika utlämningsformer för digitala nyheter. Det slutliga syftet är att tillhandahålla rekommendationer till digitala nyhetsbyråer som de kan använda sig av för att tillmötesgå individers preferenser vid konsumtion av digitala nyheter. Metod: Studien har genomförts med en en induktiv ansats och en kvalitativ forskningsstrategi. Primärdata samlades genom intervjuer och fokusgrupper. Resultat och slutsatser: Utifrån studiens resultat drar vi slutsatsen att konsumtionen av digitala nyheter påverkas i större grad av individuella preferenser än ålder. Vidare identifierades påverkansfaktorer, där intresse påvisades vara en av de viktigaste. Respondenterna uppvisade en positiv inställning till mobila nyhetsapplikationer och sociala medier som utlämningsformer för digitala nyheter. Teoretiskt och praktiskt bidrag: Studien bidrar med åtta faktorer som påverkar konsumtionsmönstret av digitala nyheter. Vidare bidrar studien med en klargörelse av individuella preferenser gällande utlämningsformer för digitala nyheter. Studiens resultat kan sedan ligga till grund för hur digitala nyhetsbyråer kan tillmötesgå konsumenters preferenser.  Nyckelord: Konsumentbeteende, konsumtionsmönster, individuella preferenser, ålder, digitala nyheter / Research question: How is the consumption of digital news affected by individual preferences and age? How is the attitude towards digital news on different digital channels affected by individual preferences and age? Purpose: The purpose of the study is to describe the consumption of digital news in different age groups and to analyse consumers’ individual preferences regarding this. The purpose is furthermore to analyse factors influencing the consumption of digital news. It is also to describe and analyse different age groups preferences and attitudes towards news on different digital channels. The final purpose of the study is to provide digital news agencies with recommendations that they can use to meet individual preferences regarding the consumption of digital news. Method: The study is based on an inductive approach and a qualitative research method. The data has been collected through interviews and focus groups. Results and conclusions: Based on the study’s results we conclude that the consumption of digital news is affected to a greater extent by individual preferences than age. Furthermore factors that affect the consumption of news were identified, where interest was shown to be one of the most important factors. The respondents showed positive attitudes towards mobile news applications and social media as digital channels for news. Theoretical and practical contribution: The study contributes eight factors that affect the consumption of digital news. Furthermore the study clarifies different age groups attitudes towards news on different digital channels. The study’s results could form the basis for how digital news agencies can accommodate consumer preferences. Keywords: Consumer behaviour, Consumption pattern, individual preference, age, digital news

Objective: In recent years there has been an increasing interest within the clinical (medical) science in measuring people’s health. When estimating quality of life, present practise is to use the EQ-5D questionnaire and an index which weighs the different questions. The question is what happens if the individuals estimate there own health, would it differ from the public preferences? The aim is to make a new prediction model based on the opinion of patients and compare it to the present model based on public preferences. Method: A sample of 362 patients with unstable coronary artery disease from the Frisc II trial, valued their quality of life in the acute phase and after 3, 6 and 12 months. The EQ-5D question form and also the Time Trade-off method (TTO), a direct method of valuing health was used. A regression technique managing panel data had to be used in estimating TTO by the EQ-5D and other variables like gender and age. Result: Different regression techniques vary in estimating parameters and standard errors. A Generalized Estimating Equation approach with empirical correlation structure is the most suitable regression technique for the data material. A model based on the EQ-5D question form and a continuous age variable proves to be the best model for an index derived by individuals. The difference between heart patients own opinion of health and the public preferences differs a great amount in the severe health conditions, but are rather small for healthy patients. Of the total 243 health conditions, only eight of the conditions were estimated higher by the public index. Conclusions: As the differences between the approaches are significantly large the choice of index could affect the decision making in a health economic study.