MATERIALS AND METHODS: A randomised control study with a two-group, single-blind design and baseline evaluation was selected. Social media sites were used to advertise for participants, who were then admitted after meeting the requirements. Participants who met the eligibility requirements were randomly split into two groups. Each group received a total of three sessions of online therapy (MT or CT), once every two weeks, as well as one phone call per week as reinforcement. At the beginning and end of the intervention, participants completed questionnaires (1st week and 5th week). Generalized Estimating Equation (GEE) statistical analysis was used to analyse all the variables.

RESULTS: The MT group experienced a statistically significant decrease in cigarette consumption (β: -3.50, 95% Wald CI: - 4.62, -2.39) compared to the CT group over time. Furthermore, the MT group demonstrated significant improvements in their scores for the AAQ-2, anxiety, stress, depression and mindfulness compared to the CT group.

METHODS: A quasi-experimental (before-after) study design was adopted. Pre-intervention data were collected over 7 months (January-July 2017). Subsequently, the workflow redesign (eaST system) was implemented and the effect of the intervention (August 2017-February 2018) was evaluated. Univariate analysis was used to compare the differences between pre-intervention and post-intervention of pharmacy waiting time and near-missed events. Significant factors affecting study outcomes were analysed using linear regression analysis.

KEY FINDINGS: A total of 210,530 prescriptions were analysed. The eaST system significantly increases the percentage of prescriptions dispensed within 30 min per day (median = 68 (interquartile range (IQR) = 41) vs. median = 93 (IQR = 33), P < 0.001) and reduced the mean percentage of near-missed events (mean = 50.71 (standard deviation (SD) = 23.95) vs. mean = 27.87 (SD = 12.23), P < 0.001). However, the eaST system's effects on related outcomes were conditional on a three-way interaction effect. The eaST system's effects on pharmacy waiting time were influenced by the number of prescriptions received and the number of PhIS server disruptions. Conversely, the eaST system's effects on near-missed events were influenced by the number of pharmacy personnel and number of controlled medications.