Ira Puspitasari, .- (2018) Characterizing the Consumer’s Behaviour in the Adoption of Patient Social Network Systems for E-Patient Activities. Malaysian Journal of Science. ISSN 2018

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Abstract

The e-patient movement and participatory medicine have risen the awareness of health literacy among the consumers, people of non-medical professionals. The consumers have been actively participating in a dedicated patient social network system (such as PatientLikeMe, Ben’s Friends) to share health information and experience to others who encounter similar conditions. This patient collaboration provides valuable healthcare resources to develop an effective participatory medicine between patients, caregivers, and medical professionals. This study aims to investigate what motivates the patient to participate in a patient social network system and how they engaged in e- patient activities, such as participating in a discussion about a specific disease, comorbidity, or home treatment; and conducting an online consultation with medical professionals. The behavioural model is constructed based on the integration of Affective Events Theory (AET) and Self- Determination Theory (SDT). The AET is used to model the structure, the cause of affective driven behaviour, and the consequences in the form of affective response. While SDT is used to model passion (i.e., engagement in patient social networks) and its relationship with behaviour. The data analysis and the model testing are based on the Partial Least Square Structural Equation Modelling (PLS-SEM) using the responses of 428 patient social network users. The result indicates that the passion and the empathy trigger the consumer’s participation in patient social networks. The findings from this study also suggest the implementation of advanced personalization in a patient social network system to promote the consumer’s participation. The advanced personalization includes emotion recognition based on the consumer’s text analysis and the improvement of patient recommender system based on multiple parameters.

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