=Paper=
{{Paper
|id=Vol-2629/3_poster_cruz.pdf
|storemode=property
|title=Work In Progress: Matching Persuasive Design with Self-Management Needs of Patients with Cardiovascular Diseases – Preliminary Results of A Survey Vignette Experiment
|pdfUrl=https://ceur-ws.org/Vol-2629/3_poster_cruz.pdf
|volume=Vol-2629
|authors=Roberto Rafael Cruz-Martínez,Jobke Wentzel,Robbert Sanderman,Julia EWC van Gemert-Pijnen
|dblpUrl=https://dblp.org/rec/conf/persuasive/Cruz-MartinezWS20
}}
==Work In Progress: Matching Persuasive Design with Self-Management Needs of Patients with Cardiovascular Diseases – Preliminary Results of A Survey Vignette Experiment==
https://ceur-ws.org/Vol-2629/3_poster_cruz.pdf
Work In Progress: Matching Persuasive Design with Self-
Management Needs of Patients with Cardiovascular
Diseases – Preliminary Results of A Survey Vignette
Experiment
Roberto Rafael Cruz-Martínez1()[0000-0001-9308-364X], Jobke Wentzel1,2[0000-0003-3897-4436], Robbert
Sanderman1,3[0000-0002-0823-1159], and Julia EWC van Gemert-Pijnen1[0000-0001-6511-7240]
1 Department of Psychology, Health and Technology, Faculty of Behavioural, Management and
Social sciences, Technical Medical Centre, University of Twente, Enschede, NL
2 Department of Health and Social studies, Windesheim University of Applied Sciences,
Zwolle, NL
3 GZW-Health Psychology–GZW-General, University Medical Center Groningen, University
of Groningen, Groningen, NL
{r.cruzmartinez, m.j.wentzel, r.sanderman, j.vangemert-pijnen}@utwente.nl
1 Background
Cardiovascular diseases constitute an alarming crisis for health care worldwide [1, 2].
Technology-based self-management support is proposed as a potential solution [3].
However, little research has been done to understand how these technologies should be
designed so that they can effectively support specific self-management goals of patients
[4, 5]. This poster presents the preliminary results of a study that aims to explore expert
preferences and insights when matching persuasive design strategies with self-manage-
ment goals and tasks of patients with cardiovascular diseases.
2 Methods
An online survey vignette experiment was conducted [6]. The experiment consists of a
collection of vignettes, which content systematically varies according to different fac-
tors and factor levels. The choices of factors and levels for this experiment were in-
formed by the Persuasive Design Model from Oinas-Kukkonen et al. [7] and the Middle
Range Theory of Self-Care of Chronic Illness from Riegel et al. [8]. The factorial design
consisted therefore of 2 factors (persuasive design categories and self-management
needs) with 3 levels each (primary task support, dialogue support, social support; self-
care maintenance, self-care monitoring, self-care management). In total, 9 vignettes
were created with a different combination of factors and levels. In each vignette the
self-management need was represented with a video that described the behavioral needs
of an individual living with a cardiovascular chronic condition (Figure 1).
Persuasive 2020, Adjunct proceedings of the 15th International conference on Persuasive
Technology. Copyright © 2020 for this paper by its authors. Use permitted under Creative
Commons License Attribution 4.0 International (CC BY 4.0)
2
Fig. 1. Still frames of video representing the case of a patient with self-care maintenance needs
On other hand, the persuasive design was represented in each vignette through a
mock-up of an interface and the key ingredients of an eHealth intervention (Figure 2).
Experts with experience on the topics of self-management, cardiovascular diseases, and
eHealth were recruited as participants.
Fig. 2. Example of mock-up representing the design of an eHealth intervention
3
3 Results
More than 50 experts have answered the survey so far, up until February 2020. The
survey collects quantitative data in the form of ratings about the potential success of
persuasive designs (represented by the mock-ups) when matched to specific self-man-
agement needs (represented by the case videos). Namely, after presenting each case and
the proposed intervention design, participants are asked: “How likely is it that this in-
tervention design will successfully support the self-management needs of the case pre-
sented?”. Participants can respond via a 5-point Likert scale, ranging from “Extremely
unlikely” to “Extremely likely”. The survey also collects qualitative data in the form of
perceived barriers for the success of persuasive design strategies when matched with
specific self-management needs. In this case, participants are asked: “Under what cir-
cumstances would this intervention not work to support the self-management needs of
the case presented?”. Participants are prompted to describe as many circumstances as
they can think of. Preliminary analyses show that some persuasive design strategies
might indeed be perceived by experts to work better than others depending on which
specific self-management needs are targeted. Moreover, a wide range of potential bar-
riers have also been listed by experts for each case-design match up.
4 Discussion
Thoughtful intervention design informed by theoretical models is important for the suc-
cess of eHealth. However, a review of eHealth interventions that support self-manage-
ment in cardiovascular diseases showed that theoretical models are not always used to
guide design [4]. The value of this poster is that it presents a study that directly ad-
dresses the challenging topic of how to translate the persuasive design conceptual cat-
egories into intervention components that can actually match the behavioral needs and
goals of patients living with cardiovascular diseases.
It is important to understand which design strategies are proposed to be potentially
more effective than others, and why. The present study combines key factors of two
models. First, the behavioral needs of patients living with cardiovascular diseases are
described in accordance to the Middle Range Theory of Self-Care of Chronic Illness
from Riegel et al. [8]. Second, the potential design strategies that can be implemented
in eHealth interventions to support self-management are based on categories of the Per-
suasive Design Model from Oinas-Kukkonen et al. [7].
There is a fair amount of research about how to tailor the design of eHealth inter-
ventions, for example, in cardiovascular diseases [9-11], other chronic conditions [12],
or in the field of mental health [13]. However, previous studies did not seek to match
the design choices with specific, theory-based, key components of self-management.
All in all, the results of this expert-based study will advance our knowledge about which
potential paths should be followed when designing and tailoring eHealth interventions
to support self-management in cardiovascular diseases.
4
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