{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T05:29:50Z","timestamp":1773293390906,"version":"3.50.1"},"reference-count":60,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T00:00:00Z","timestamp":1612828800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008463","name":"Universitas Airlangga","doi-asserted-by":"publisher","award":["704\/UN3\/2019"],"award-info":[{"award-number":["704\/UN3\/2019"]}],"id":[{"id":"10.13039\/501100008463","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>Participatory medicine and e-health help to promote health literacy among non-medical professionals. Users of e-health systems actively participate in a patient social network system (PSNS) to share health information and experiences with other users with similar health conditions. Users\u2019 activities provide valuable healthcare resources to develop effective participatory medicine between patients, caregivers, and medical professionals. This study aims to investigate the factors of patients\u2019 engagement in a PSNS by integrating and modifying an existing behavioral model and information system model (i.e., affective events theory (AET) and self-determination theory (SDT)). The AET is used to model the structure, the affective aspects of the driven behavior, and actual affective manifestation. The SDT is used to model interest and its relations with behavior. The data analysis and model testing are based on structural equation modeling, using responses from 428 users. The results indicate that interest and empathy promote users\u2019 engagement in a PSNS. The findings from this study suggest recommendations to further promote users\u2019 participation in a PSNS from the sociotechnical perspective, which include sensitizing and constructive engagement features. Furthermore, the data generated from a user\u2019s participation in a PSNS could contribute to the study of clinical manifestations of disease, especially an emerging disease.<\/jats:p>","DOI":"10.3390\/informatics8010008","type":"journal-article","created":{"date-parts":[[2021,2,15]],"date-time":"2021-02-15T02:32:23Z","timestamp":1613356343000},"page":"8","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Factors Driving Users\u2019 Engagement in Patient Social Network Systems"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5983-6257","authenticated-orcid":false,"given":"Ira","family":"Puspitasari","sequence":"first","affiliation":[{"name":"Information System Study Program, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, Indonesia"},{"name":"Research Center for Quantum Engineering Design, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shukor Sanim Mohd","family":"Fauzi","sequence":"additional","affiliation":[{"name":"Faculty of Computer and Mathematical Sciences, Perlis Branch, Arau Campus, Universiti Teknologi MARA, Perlis 02600, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng-Yuan","family":"Ho","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Asia University, Taichung City 41354, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,9]]},"reference":[{"key":"ref_1","unstructured":"Fox, S., and Duggan, M. 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