EXCELC team’s presentation on the Health Economics Day 2017 in Finland

By Dr Lien Nguyen, and Ismo Linnosma, Centre for Health and Social Economics, National Insitute for Health and Welfare (THL)

On the Health Economics Day last month in Finland, there were eight selected health economics presentations in the afternoon, one of which was from the Finnish members of the EXCELC team. Ismo Linnosmaa presented some findings from the study of self-assessed quality of life (QoL) among Austrian, English and Finnish people. Data used in the study were collected online last summer and sent to the team by Research Now. The results indicated that after having controlled for individual characteristics, there are no statistically significant differences in self-assessed QoL, though only between the English and Finnish people. Instead, the Austrian people were more likely to report better QoL than the Finns. In addition, the study lends support to the hypothesis of the positive association between QoL and income. People with higher income tend to assess QoL as very good or so good it could not be better. As the reasons behind the findings of differences in QoL between the three countries are not known, the Excelc team plans to investigate the theme further in the near future.

The Health Economics Day (Terveystaloustieteen päivä) is an annual seminar traditionally held in February in Finland that brings together health service experts, policy makers, researchers and people interested in health economics. The usual programme of the day is divided into two parts. In the morning, invited speakers give talks on topics that are both topical and relevant from the perspective of health economics. The afternoon programme is composed of presentations of researchers presenting and discussing the most recent findings from their own research in health economics as well as organized sessions on some important topics in health economics.  

“It’s hard to imagine situations that you’ve not experienced before properly:” Reflections on what aspects of quality of life people value using the Best-Worst Scaling (BWS) Task

by Dr Laurie Batchelderbatchelder-laurie

Recently our team published a research note on the work we undertook to understand people’s preferences for different quality of life states described by the ASCOT service user and carer measures. The method we used to draw out people’s preferences for quality of life states was a task called Best-Worst Scaling (BWS). During this task, we asked participants to trade-off and choose different care-related quality of life states.

We wanted to make sure that the presentation of the BWS task was clear before it was presented in the mainstage study, so we tested the BWS task in a small group of people in England, Austria and Finland. We asked them to reflect on everything they were thinking and feeling while completing the BWS task. We also interviewed these people after the task in order to better understand their decision-making processes.

This research note sets out our key findings and highlights some problems we encountered when we tested this method, along with how we overcame these problems. These changes have now been piloted, and we have just completed the main fieldwork, collecting people’s preferences for ASCOT quality of life states.

We are currently using the data we have collected about how people understand the BWS experiment to look in more detail at how people make decisions about their preferences. This will help us to better understand the data we collected from the BWS task and to plan future experiments. It will also provide us a better understanding of the BWS task overall. We presented this work at the ILPN conference at LSE in September 2016 (see link to our presentation at ILPN here and also Storify of the ILPN conference here) and further discussed these findings at the NORFACE Workshop: Health Politics, Health Policy, Long-Term Care and Inequalities in October 2016 in Mannheim, Germany.

Next year we will provide a further update – some results from the analysis of the BWS data from England, Austria and Finland.

Read more about this study here!

EXCELC team at ILPN 2016

EXCELC team at ILPN 2016

Anfang September 2016 fand in London die Konferenz des Internationalen Long-tern Care Policy Networks ( ILPN 2016) statt (siehe dazu auch Storify der Konferenz hier). Die ILPN 2016 war der Rahmen für zahlreiche interessante Präsentationen, darunter auch spannende Vorträge von Mitgliedern des EXCELC-Teams: Laurie Batchelder präsentierte einige Ergebnisse aus der kognitiven Testungsphase der Präferenzstudie. Ismo Linnosmaa und Birgit Trukeschitz lieferten aufschlussreiche Einblicke in die wichtigsten Erkenntnisse aus dem Übersetzungsprozess der ASCOT-Instrumente vom Englischen ins Finnische und Deutsche. Juliette Malley und Julien Forder präsentierten in diesem Rahmen ähnliche Arbeiten und Analysen, die zu einem Verständnis der Effektivität und Effizienz von Langzeitpflege beitragen und nun im Zuge der EXCELC-Studie verbessert und erweitert werden sollen.

Bei unserem Treffen zum Forschungsprojekt EXCELC (siehe Foto), das anschließend an die ILPN 2016 stattfand, diskutierten wir die Fortschritte, die sich in den einzelnen Feldphasen verzeichnen ließen. Birgit Trukeschitz und Assma Hajji informierten über die bisherige Vorgehensweise im Zuge der österreichischen Feldarbeit und über die Ergebnisse aus der Pilotphase. Juliette Malley, Laurie Batchelder, Eirini Saloniki und Julien Folder fassten die wichtigsten Resultate aus der Feldarbeit der Präferenzstudie zusammen, die nun in allen drei Ländern – Österreich, Finnland und England- abgeschlossen ist. Die Daten wurden uns von der Firma, die mit dem Online-Survey beauftragt wurde, übermittelt. In den nächsten Monaten werden diese von uns geprüft. Wir diskutierten auch unsere Pläne für das nächste EXCELC-Team-Meeting im Februar 2017, das in Wien stattfinden wird. Im Anschluss an das Projekttreffen wird auch das erste Treffen mit den Beratungsgruppen aus Politik, dem Pflegebereich und Wissenschaft (EXCELC Advisory Group) stattfinden.

Mehr folgt dann in Kürze!