<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Towards Development Guidelines for eHealth Interventions that Support Self-Management of Cardiovascular Diseases: A Holistic, Theory-Based, and Cross-Cultural Approach</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Health and Social studies, Windesheim University of Applied Sciences</institution>
          ,
          <addr-line>Zwolle, NL</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social sciences, Technical Medical Centre, University of Twente</institution>
          ,
          <addr-line>Enschede, NL</addr-line>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>GZW-Health Psychology-GZW-General, University Medical Center Groningen, University of Groningen</institution>
          ,
          <addr-line>Groningen, NL</addr-line>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Self-Management Support of Cardiovascular Diseases</institution>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>The Complexity of the Health Care Problem</institution>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0001</lpage>
      <abstract>
        <p>Cardiovascular diseases constitute an alarming crisis for health care worldwide. Technology-based self-management support is proposed as a potential solution. However, both the problem and the solution are complex, dynamic, and are influenced by a combination of multiple factors. This project aims to outline a holistic, theory-based, and cross-cultural approach for the development of eHealth interventions supporting self-management of cardiovascular diseases. The project has resulted in a review of multidisciplinary frameworks, theories, and models. However, questions remain regarding the key factors for tailoring interventions to cross-cultural contexts, and how to facilitate this knowledge for intervention designers.</p>
      </abstract>
      <kwd-group>
        <kwd>Cardiovascular Diseases</kwd>
        <kwd>Self-Management</kwd>
        <kwd>eHealth Holistic Development</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        1.1
time-consuming tasks of health care providers [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] (e.g. bureaucracy in reporting patient
management). Because of the above, the actual level of self-management achieved by
a patient will be determined by a combination of multiple factors (e.g. the
characteristics of their condition, their biopsychosocial state, or the surrounding physical, social,
and organizational contexts [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]). The interplay of multiple factors hints towards the
complexity of the problem itself. However, generating a solution also entails unique
challenges, which are discussed below.
1.2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Holistic Development of Electronic Health Interventions</title>
      <p>
        Electronic health (eHealth) can be defined as the use of technology to support health,
well-being, and health care [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. There is already evidence about the potential of
technology-based interventions to support self-management [
        <xref ref-type="bibr" rid="ref7 ref8">7, 8</xref>
        ]. However, research on
eHealth is conducted from the perspective of multiple scientific disciplines, which can
often cause overlap or challenges in the accumulation of knowledge. In this regard, the
multidisciplinarity of eHealth is an example of the natural complexity of the proposed
solution to a wicked problem such as the CVD health care crisis. To present a concrete
example, consider how an eHealth intervention must take the assessment or
recommended treatment of a health care provider (medical science), then select motivational
prompts or messages that can promote adherence to key behaviors (behavioral science),
and finally deliver them in a salient, persuasive way to the patient (human-technology
interaction science). To tackle this, a holistic, multidisciplinary development of eHealth
is recommended [9, 10]. A holistic approach is defined as one that aims to recognize
the importance of the whole and the interdependence of its parts [10]. In a practical
sense, this proposes that the interaction and reciprocal influence between contextual,
technological, and human factors should be emphasized early and often during eHealth
development, and be informed by multidisciplinary perspectives [9, 10]. In this light, it
is proposed that a holistic development approach must consider multiple perspectives,
from different fields of science, to integrate and analyze various key factors (e.g.
individual and contextual differences).
1.3
      </p>
    </sec>
    <sec id="sec-3">
      <title>Use of Theories, Models, and Frameworks to Capture, Curate, and</title>
    </sec>
    <sec id="sec-4">
      <title>Accumulate Knowledge</title>
      <p>Given the vast and overwhelming amount of research done in the fields of CVD,
selfmanagement, and eHealth, it is a remarkable challenge to capture and generate a holistic
understanding of the problem and any potential solution. One proposed way to tackle
this is to focus on the most structured approaches, such as those informed by clearly
described theories, models, or frameworks. For example, frameworks for the
development of eHealth interventions are widely available [9, 11, 12]. Likewise, eHealth
development has been extensively informed by theoretical models that explain underlying
mechanisms of behavior change, technology adoption, or the improvement of health
[13]. For example, the Persuasive Systems Design is a widely known model that
proposes means for selecting persuasive technology features that work best to help users
reach their own personal goals [14] or those related to a recommended treatment.</p>
      <p>Project Aim: Towards Development Guidelines to Tailor
eHealth Interventions to Cross-Cultural Contexts
The aim of this project is to advance our understanding about how to undertake a
holistic development of eHealth interventions to effectively support self-management of
CVD. The project is composed of several key stages (Figure 1). Primarily, the project
takes a holistic approach, meaning it seeks to integrate the (structured) knowledge that
already exists and build upon that. That is why the first task of the project was to bridge
the multidisciplinary gap in the field of eHealth, which was done via a review of
multiple theories, models, and frameworks within the scope of the project [15, 16]. In
parallel, the project takes a theory-based approach, meaning it attempts to understand and
integrate the propositions of relevant models of science to understand key factors of the
problem and the proposed solution. To do this, the project is using the Middle Range
Theory of Self-Care of Chronic Illness to [17] inform both a patient-centered study (to
investigate key differences in the self-management needs of patients) and an
expertbased vignette survey (to assess expert preferences of persuasive design features for
each self-management needs). Finally, the project seeks to deliver practical guidelines
about how to adapt eHealth interventions to different settings. To do this, lo-fi
prototypes will be generated and evaluated with cross-cultural samples of patients. Currently,
the main research questions that this project is addressing are: What key features are
best and for whom in interventions aiming to improve self-management of CVD
through eHealth? How can we facilitate holistic, theory-based understanding and
decision-making of intervention designers?</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Roth</surname>
            ,
            <given-names>G.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Johnson</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Abajobir</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Abd-Allah</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Abera</surname>
            ,
            <given-names>S.F.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Abyu</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ahmed</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          , et al.:
          <source>Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes</source>
          ,
          <year>1990</year>
          to
          <year>2015</year>
          .
          <source>J Am Coll Cardiol</source>
          <volume>70</volume>
          ,
          <fpage>1</fpage>
          -
          <lpage>25</lpage>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2. World Health Organization:
          <source>Global status report on noncommunicable diseases</source>
          <year>2014</year>
          <article-title>: attaining the nine global noncommunicable diseases targets; a shared responsability</article-title>
          .
          <source>Global status report on noncommunicable diseases</source>
          <year>2014</year>
          <article-title>: attaining the nine global noncommunicable diseases targets; a shared responsability</article-title>
          , (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Riegel</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Moser</surname>
            ,
            <given-names>D.K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Buck</surname>
            ,
            <given-names>H.G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>VaughanDickson</surname>
            , V.,
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>B.D.</given-names>
            ,
            <surname>Lee</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.S.</given-names>
            ,
            <surname>Lennie</surname>
          </string-name>
          ,
          <string-name>
            <surname>T.A.</surname>
          </string-name>
          , et al.:
          <article-title>Self-care for the prevention and management of cardiovascular disease and stroke: A scientific statement for healthcare professionals from the American heart association</article-title>
          .
          <source>Journal of the American Heart Association</source>
          <volume>6</volume>
          , (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Harvey</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dopson</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>McManus</surname>
            ,
            <given-names>R.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Powell</surname>
          </string-name>
          , J.:
          <article-title>Factors influencing the adoption of selfmanagement solutions: an interpretive synthesis of the literature on stakeholder experiences</article-title>
          .
          <source>Implementation science : IS 10</source>
          ,
          <issue>159</issue>
          (
          <year>2015</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Dupre</surname>
            ,
            <given-names>M.E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nelson</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lynch</surname>
            ,
            <given-names>S.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Granger</surname>
            ,
            <given-names>B.B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Xu</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Churchill</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Willis</surname>
            ,
            <given-names>J.M.</given-names>
          </string-name>
          , et al.:
          <article-title>Socioeconomic, Psychosocial and Behavioral Characteristics of Patients Hospitalized With Cardiovascular Disease</article-title>
          .
          <source>The American Journal of the Medical Sciences</source>
          <volume>354</volume>
          ,
          <fpage>565</fpage>
          -
          <lpage>572</lpage>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>van</surname>
            Gemert-Pijnen,
            <given-names>L.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kip</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kelders</surname>
            ,
            <given-names>S.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sanderman</surname>
          </string-name>
          , R.:
          <source>Introducing eHealth. eHealth Research, Theory and Development</source>
          , pp.
          <fpage>23</fpage>
          -
          <lpage>46</lpage>
          .
          <string-name>
            <surname>Routledge</surname>
          </string-name>
          (
          <year>2018</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Greenwood</surname>
            ,
            <given-names>D.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gee</surname>
            ,
            <given-names>P.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fatkin</surname>
            ,
            <given-names>K.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peeples</surname>
            ,
            <given-names>M.:</given-names>
          </string-name>
          <article-title>A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support</article-title>
          .
          <source>J. Diabetes Sci. Technol</source>
          .
          <volume>11</volume>
          ,
          <fpage>1015</fpage>
          -
          <lpage>1027</lpage>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Hanlon</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Daines</surname>
          </string-name>
          , L.,
          <string-name>
            <surname>Campbell</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>McKinstry</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Weller</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pinnock</surname>
          </string-name>
          , H.:
          <article-title>Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and</article-title>
          <string-name>
            <given-names>Cancer. J.</given-names>
            <surname>Med</surname>
          </string-name>
          .
          <source>Internet Res</source>
          .
          <volume>19</volume>
          ,
          <issue>e172</issue>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>