Do you want to receive bad news through your patient accessible electronic health record? A national survey on receiving bad news in an era of digital health

Date: 
Thursday, September 17, 2020 - 09:00 to Friday, September 18, 2020 - 22:00

A presentation together with Hanife Rexhepi and Jonas Moll at ISHIMR 2020 conference online.

Abstract

Despite the fact that patient accessible electronic health records (PAEHRs) have been around for many years in several countries, there is a lack of research investigating user preferences regarding means of receiving bad news, including through PAEHRs, and little is known especially about the patients that prefer to receive bad news online. This study, based on a national patient survey in Sweden (N=2587), investigated this. Results show that, generally, receiving bad news by reading in the PAEHR is still among the least preferred options. Additionally, a higher proportion of men want to receive bad news in the PAEHR compared to women (p=0.001) and the same goes for those who are not working/have worked in healthcare (p=0.007). An effect of disease groups was also found, showing that diabetes patients in particular want to receive bad news through the PAEHR.

Archaeology and Archaeological Information in the Digital Society shows how the digitization of archaeological information, tools and workflows, and their interplay with both old and new non-digital practices throughout the archaeological information process, affect the outcomes of archaeological work, and in the end, our general understanding of the human past.

Read more

Taking Health Information Behaviour into Account: implications of a neglected element for success- ful implementation of consumer health technologies on older adults (HIBA) is an Academy of Finland funded research project at Åbo Akademi University.

Read more

CApturing Paradata for documenTing data creation and Use for the REsearch of the future (CAPTURE) investigates what information about the creation and use of research data that is paradata) is needed and how to capture enough of that information to make the data reusable in the future. 

Read more