ABSTRACT
BACKGROUND: Artificial intelligence (AI) is a novel technology that has been widely acknowledged for its potential to improve the processes' efficiency across industries. However, its barriers and facilitators in healthcare are not completely understood due to its novel nature. STUDY PURPOSE: The purpose of this study is to explore the intricate landscape of AI use in family medicine, aiming to uncover the factors that either hinder or enable its successful adoption. METHODS: A cross-sectional survey design is adopted in this study. The questionnaire included 10 factors (performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, perceived privacy risk, personal innovativeness, ethical concerns, and facilitators) affecting the acceptance of AI. A total of 157 family physicians participated in the online survey. RESULTS: Effort expectancy (µ = 3.85) and facilitating conditions (µ = 3.77) were identified to be strong influence factors. Access to data (µ = 4.33), increased computing power (µ = 3.92), and telemedicine (µ = 3.78) were identified as major facilitators; regulatory support (µ = 2.29) and interoperability standards (µ = 2.71) were identified as barriers along with privacy and ethical concerns. Younger individuals tend to have more positive attitudes and expectations toward AI-enabled assistants compared to older participants (p < .05). Perceived privacy risk is negatively correlated with all factors. CONCLUSION: Although there are various barriers and concerns regarding the use of AI in healthcare, the preference for AI use in healthcare, especially family medicine, is increasing.
ABSTRACT
INTRODUCTION: Medication Therapy Management (MTM) is identified as a group of services provided to the patient in order to optimize the medication use in order to mitigate adverse drug reactions (ADRs), drug-drug interaction (DDI), and polypharmacy. Elderly populations above 60 years old are at high risk for Medication-related Problems (MRPs) due to several factors. Therefore, MTM programs showed good contributions globally regarding enhancing medication use in the elderly population. Thus, evident information regarding its implementation in Saudi Arabia is lacking in the literature. OBJECTIVE: Our objective is to assess community pharmacists' knowledge, attitude, and barriers to providing MTM services to the older adult population in Saudi Arabia. METHODOLOGY: A cross-sectional study has been conducted among community pharmacists across the Kingdom. It was survey-based research that was designed and conducted through (QuestionPro). The survey was distributed for the community pharmacists from Feb-May 2023 via (QuestionPro). Descriptive analysis was performed using SAS OnDemand to analyze the categorical variables and test it with the outcome of interest. RESULTS: Out of the 528 participants who have viewed our questionnaire, 319 participants have completed the survey in 5 min average time. Most of our participants were male, holding a bachelor's degree, and had an average working load of more than 40 h a week, respectively (84.95%, 92.48%, and 76.18%). In addition, the participants were from different regions of the Kingdom, which enhanced the generalizability of our findings. Moreover, 65.52% have reported a higher level of knowledge, while 34.48% have reported a moderate to low level of knowledge regarding MTM service. Most of those with a higher level of knowledge maintain a positive attitude regarding MTM service, its implementation, and dealing with older adult patients in the community pharmacy. In addition, lacking the time, training, and presence of a private consultation room were the top barriers to provide MTM services in the community pharmacy in Saudi Arabia. CONCLUSION: Educational sessions regarding MTM services among the older adult population are highly recommended for community pharmacists before its implementation.
