The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality

Abstract

Compared to other appointment methods in public hospitals, registering through the Internet or utilizing e-appointments, or registering online as an outpatient, can provide more information to the user. This research investigated the integration of unified theory of the acceptance and use of technology and information system quality in determining factors that influence the adoption of e-appointments by patients, based on the requirements of food safety consultation in Taiwan. Empirical data from 369 valid samples were assessed using Partial Least Squares (PLS). The key findings of this study indicated that patients’ acceptance of e-appointments was influenced by users’ perceptions (i.e., performance expectancy and facilitating conditions), along with information quality and service quality. The practical and academic implications are provided for future practitioners and scholars, and to enhance patients’ usage of e-appointments in their healthcare activities.

Barriers to and Facilitators of Automated Patient Self-scheduling for Health Care Organizations: Scoping Review

“…The countries covered in the review include the United States [ 18 , 28 , 29 , 31 , 33 , 35 , 37 , 43 , 73 , 74 ], Taiwan [ 22 , 23 , 42 ], England [ 19 , 34 , 69 , 72 ], China [ 24 , 48 , 75 ], Australia [ 45 , 70 , 71 ], Canada [ 36 ], Iran [ 5 , 32 , 47 ], and the Philippines [ 26 ]. Another article included 7 countries in Europe [ 44 ].…”

“…The first article retrieved for the scoping study was published in 2004 [ 18 ], with ≤3 articles each year up to and including 2019. In 2020, 8 articles [ 22 , 26 , 28 , 29 , 31 , 37 , 72 , 73 ] featuring barriers to and facilitators of automated self-scheduling were published. Table 2 displays the number of articles published by year of publication.…”

“…From the 30 articles, 6 (20%) articles featured externally created interventions, 4 (13%) of which were created by a third party [ 35 , 36 , 43 , 72 ], 1 (3%) by the first author [ 71 ], and 1 (3%) by an unknown source [ 34 ]. The remaining articles did not elucidate the source of the intervention [ 5 , 22 - 24 , 26 , 32 , 42 , 44 , 45 , 47 , 48 , 70 ], did not feature a specific source [ 29 , 33 , 69 , 74 , 75 ], or represented a systematic review [ 21 ].…”

“…There is evidence that automated self-scheduling provides value and that health care organizations can benefit from it. Researchers have identified the advantages of automated patient self-scheduling for health care organizations in the form of labor savings [ 18 - 22 ], information transparency [ 23 , 24 ], cost reduction [ 25 ], cycle time [ 26 ], patient satisfaction [ 27 , 28 ], patient accountability [ 29 ], patient information [ 30 ], patient time savings [ 31 ], physician punctuality [ 32 ], patient loyalty [ 23 ], and patient attendance [ 33 - 37 ]. Reducing missed appointments increases a health care organization’s efficiency and the effective allocation of resources [ 38 ].…”

“…Countries in Europe [ 44 ], England [ 19 , 34 ], Canada [ 36 ], Australia [ 45 ], and the United States [ 23 ], have established health technology initiatives at the national level. Nigeria [ 20 ], India [ 30 ], Taiwan [ 22 ], the Philippines [ 26 ], and Iraq and the Kurdistan region [ 46 ] have determined that self-scheduling may serve as a better alternative to obtaining an appointment as opposed to the traditional process of accessing outpatient care by physically standing in line. In Iran [ 47 ] and China [ 24 , 48 , 49 ], hospitals are mandated to provide the capability, in part, to address the problems associated with in-person queues for appointments.…”