The formation of patient trust and its transference to online health services: the case of a Dutch online patient portal for rehabilitation care ...

Abstract Background Trust is widely recognized as a crucial factor in successful physician–patient communication and patient engagement in treatment. However, with the rise of eHealth technologies, such as online patient portals, the role of trust and the factors that influence it need to be reconsidered. In this study, we aim to identify the factors that contribute to trust in an eHealth service and we aim to identify the consequences of trust in an eHealth service in terms of use. Methods The Patient Trust Assessment Tool was provided to new outpatients of a rehabilitation center in the Neth... Mehr ...

Verfasser: van Velsen, Lex
Flierman, Ina
Tabak, Monique
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Verlag/Hrsg.: figshare
Schlagwörter: Molecular Biology / Cancer / Science Policy / 111714 Mental Health / FOS: Health sciences
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29399740
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.6084/m9.figshare.c.5465154.v1

Abstract Background Trust is widely recognized as a crucial factor in successful physician–patient communication and patient engagement in treatment. However, with the rise of eHealth technologies, such as online patient portals, the role of trust and the factors that influence it need to be reconsidered. In this study, we aim to identify the factors that contribute to trust in an eHealth service and we aim to identify the consequences of trust in an eHealth service in terms of use. Methods The Patient Trust Assessment Tool was provided to new outpatients of a rehabilitation center in the Netherlands, that were expected to use the center’s online patient portal. Via this tool, we assessed five trust-related factors. This data was supplemented by questions about demographics (age, gender, rehabilitation treatment) and data about use (number of sessions, total time spent in sessions), derived from data logs. Data was analyzed via Partial Least Squares Structural Equation Modelling. Results In total, 93 ...