Tailoring patient information to encourage patient engagement

Reeva Lederman, Stephen Smith, Suelette Dreyfus and Basil Alzougool

International Journal of Networking and Virtual Organisations, 2016, vol. 16, issue 2, 191-203

Abstract: This paper proposes a new method for tailoring health information based on an individual's dominant attitudes and information processing style which can be digitally operationalised and delivered direct to the patient. This individualised approach is based on principles previously used as the basis for mass-marketing campaigns, including smoking and other public health issues - but not previously used for structuring treatment recommendations in individual patient consultations. In previous work we have shown that patient understanding of their medical condition is influenced by whether a medical report is expressed in their preferred information processing style or expresses their dominant motivational attitude. In this work we build on these findings to examine the connection between a patient's perceived understanding of the content of a medical report and their willingness to actively engage with their doctor. Because engagement has been linked to patient compliance, this has important implications for patient adherence to treatment.

Keywords: personalisation; health information systems; HIS; cognitive styles; functional theory; healthcare management; patient information; patient engagement; mass marketing campaigns; treatment recommendations; patient consultations; medical reports; motivational attitudes; patient attitudes; information processing styles; perceived understanding; patient compliance; adherence to treatment. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=76487 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijnvor:v:16:y:2016:i:2:p:191-203

Access Statistics for this article

More articles in International Journal of Networking and Virtual Organisations from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().