{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:27Z","timestamp":1747216167153,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643684567"},{"type":"electronic","value":"9781643684574"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,25]]},"abstract":"<jats:p>Health information websites can be useful for information seekers, and their design is crucial for the success of accessing the needed information. While web analytical tools (e.g. Google Analytics) used by such websites can provide descriptive measures of users, there is a disconnection between this data and the current understanding of health information-seeking behaviour. In this work, we leverage a theoretical model to interpret the Google Analytics data. Drawn on the visualisation of user behaviours based on this model, our research shows that better website design can be informed, and the evaluation of health websites can be performed on the basis of different user profiles.<\/jats:p>","DOI":"10.3233\/shti231124","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:26:29Z","timestamp":1706178389000},"source":"Crossref","is-referenced-by-count":0,"title":["Using Google Analytics with Health Information-Seeking Model to Evaluate the Design of Health Information Websites"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8820-5443","authenticated-orcid":false,"given":"Patrick Cheong-Iao","family":"Pang","sequence":"first","affiliation":[{"name":"Faculty of Applied Sciences, Macao Polytechnic University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3588-8321","authenticated-orcid":false,"given":"Megan","family":"Munsie","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Australia"},{"name":"Murdoch Children\u2019s Research Institute, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2163-3910","authenticated-orcid":false,"given":"Shanton","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Australia"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:26:31Z","timestamp":1706178391000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231124","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}