Ease Of Usefulness Research Articles

Closing the divide: Exploring higher education teachers’ perspectives on educational technology

Incorporating technology into education has become a crucial component of contemporary teaching practices. Technological advancements have led to the development of innovative teaching tools and methodologies that promote active learning and engagement among students. This study used a modified version of the Technology Acceptance Model (TAM) to analyze the key factors that impact the integration of technology in the teaching practice of higher education instructors. Among the factors to be included in the modified model are technostress and teaching tradition. These factors have been rarely examined within the mandatory technology integration in higher education settings. Partial Least Squares Structural Equation Modelling (PLS-SEM) is used to analyse the empirical data collected from 657 higher education teachers in Jordan. Findings reveal that teachers’ technological, pedagogical and content knowledge (TPACK) played a crucial role in facilitating the effective integration of technology into teaching practices. This boosted self-efficacy, personal innovativeness and perceptions of ease of use and usefulness. Additionally, teachers’ TPACK negatively influenced their technostress and teaching tradition. Indeed, technostress and teaching tradition were identified as significant obstacles to the effective integration of technology into teaching practices. Significant implications for theory and practice can be derived from the findings of this study to effectively incorporate technology in higher education.

Voice Unbound: The Impact of Localization and Experience on Continuous Personal Voice Assistant Usage and Its Drivers

This research explores the key factors driving the continuous use of Personal Voice Assistants (PVAs), particularly emphasising the roles of localization and experience in shaping these behaviours. Data has been gathered from 1041 PVA users through an online survey. By integrating psychological (Attitude, Enjoyment, and Personal Innovativeness), technological (Perceived Ease of Use and Usefulness), and social (Subjective Social Norms) factors, the study uncovers the complex mechanisms that influence users’ continued usage intentions towards PVAs. It also examines how localization and experience moderate these relationships, offering key insights for developers and marketers to optimise users’ continuous usage and expand market reach by effectively targeting diverse consumer segments. Further, qualitative insights reveal user needs and barriers, offering a deeper understanding of user expectations. The study also highlights several promising avenues for future research to further examine evolving dynamics between users and PVAs.

Generative AI as a catalyst for HRM practices: mediating effects of trust

This study investigated the impact of generative AI tools on human resource management practices, organizational commitment, employee engagement, and employee performance. The authors also investigated the mediating role of trust in the relationship between user perception and organizational commitment. A structured questionnaire was used to collect the data from the information technology industry employees to measure the 9 reflective constructs optimism, innovativeness, ease of use, usefulness, trust, organizational commitment, vigor, dedication, and employee performance. Two constructs, ease of use and usefulness, are modeled as a higher-order construct – User Perception, whereas vigor and Dedication are modeled as another higher-order construct, Employee Engagement. The mode-fit indices were assessed for both the higher- and lower-order constructs, and the model-fit indices for both the models, higher- and lower-order constructs reveal an excellent model fit. Positive and statistically significant impacts were observed between the study constructs. The impact of organizational commitment on employee engagement was positive and statistically significant, and in turn, the impact of employee engagement on employee performance was also positive and statistically significant. Trust partially mediated the relationship between user perception and organizational commitment, fostering enhanced employee engagement and performance. The theories of technology readiness, stimulus-organization-response, and technology acceptance model were utilized in the development of the study’s theoretical framework, which provided fresh perspectives on how employee engagement, organizational commitment, and performance are influenced by user experience and trust in the context of generative AI. Theoretically, it opens up new applications such as personalized education and services, digital art, and realistic virtual assistants that were previously unfeasible or impractical for automation. The practical implications are that the field of interdisciplinary research as well as the information technology industry will be greatly impacted by generative AI. To facilitate swift adoption, the principles of generative AI are conceptualized from model-, system-, and application-level perspectives in addition to a social-technical perspective, where they are explicated and defined. In the end, our research has given future scholars a significant research agenda that will enable them to study generative AI from different theoretical perspectives while incorporating the concepts from these theories.

Why youth continue watching reality shows on social media? A case study in Vietnam

This research investigates the motivations of Vietnamese college students to use social media to watch reality shows. Understanding students’ motivations for using social media to watch reality shows is vital to developing relevant and compelling content, creating content that meets the insight of target audiences, and promoting the growth of the media industry and the interests of users and businesses. This research uniquely combines Technology Acceptance Model and Use and Gratification Theory theoretical frameworks to develop a conceptual model to investigate the motivations that motivate Vietnamese students to watch reality shows through social media platforms. Findings show that college students know the ease of use and usefulness of media technology and the basic cognitive, social, and emotional satisfaction they derive from media use to watch reality shows. The results show that this study was successful in exploring Vietnamese students’ motivation for utilizing social media to view reality shows. This research contributes to individuals’ understanding and motivation for using social media to meet their needs. These findings help improve the content creation capabilities of reality show producers through technological innovation and enhanced experiences based on the needs of viewers, especially Vietnamese students.

Generative artificial intelligence tools for diverse learning styles in design education

The integration of Artificial Intelligence (AI) is transforming design education by automating processes and enhancing learning. Early exposure to AI offers students a competitive edge in critical thinking and problem-solving. AI tools can inspire space planning, improve workflow, reduce cognitive load, and foster creativity. This study explores how the VARK model, which categorizes learning styles into Visual, Auditory, Reading/Writing, and Kinesthetic, influences student engagement with AI tools. In an interior design classroom study involving 32 sophomore students, AI tools were used to create floor plans and generate 3D images. The study assessed the correlation between learning styles and technology acceptance. Results revealed no strong correlations between individual learning styles and perceived ease of use, perceived usefulness, or actual use of AI tools. However, visual and kinesthetic learners displayed higher engagement, suggesting that these modalities may benefit more from AI-enhanced design education. The study also confirmed that perceived ease of use and usefulness are critical factors in technology acceptance, aligning with the Technology Acceptance Model (TAM). The findings suggest that AI tools can be broadly effective across diverse learning styles, with a universal perception of their utility in design education. This research highlights the potential of AI to support creative problem-solving and prepare students for future challenges in a digital design landscape. While learning styles influence engagement, AI tools’ usability and educational benefits are consistently recognized, demonstrating their transformative potential in design education.

Perceived Ease of Use, Usefulness and Trust towards Consumer’s Intention to Adopt Automated Parcel Locker as Last Mile Delivery

Perceived Ease of Use, Usefulness and Trust towards Consumer’s Intention to Adopt Automated Parcel Locker as Last Mile Delivery

Professional Standards and Educational Leadership: Higher Secondary Teachers’ Behavioral Intention Towards Adopting New Teaching Technologies

Integrating new teaching technologies in education has transformed the traditional classroom environment, offering innovative methods for teaching and learning. With the rapid advancement in digital tools and platforms, educational institutions are increasingly adopting these technologies to enhance instructional practices, engage students, and improve learning outcomes. Therefore, this research aimed to investigate the higher secondary teachers’ behavioral intention towards adopting new teaching technologies in the context of professional standards and educational leadership. The study adopted a descriptive research design and utilized a quantitative research approach. A standardized questionnaire and a web-based purposive sampling method were used to collect 350 data from higher secondary teachers in Bangladesh. The data was assessed, and the hypotheses were analyzed using a process called partial least squares structural equation modeling (PLS-SEM). The PLS-SEM analysis identified a notable link among perceived ease of use, enjoyment, usefulness, and behavioral intention in the context of professional standards and educational leadership. This study is highly significant for educational institutions and policymakers that aim to enhance teacher job satisfaction and teachers’ quality. Educational technology should feature an interface that is easy to use, engage the user’s interest, and fulfill its intended function efficiently. Furthermore, it is imperative to tailor training programs to aid teachers’ assimilation of the technology. School administrators must enact professional development efforts, encourage the effective use of technology, establish support networks, and provide adaptable solutions to meet the unique needs of instructors. These variables can potentially increase the rate of acceptance and satisfaction with technology in educational institutions.

Exploring willingness to use adverse drug reaction reporting systems: a multicentre qualitative study in China based on the technology acceptance model and task-technology fit integration approach

BackgroundAdverse drug reaction (ADR) reporting systems are critical for monitoring and managing drug safety. However, various factors influence the willingness to use these systems. This study aimed to investigate the...

Factors Contributing to the Students'Intention to Apply Mechatronic Technology After Graduation

Mechatronic Technology is a field of specializationthat offers job opportunities in various sectors of industry. Demand for skilled and semi-skilled labour has increased over the years. However, there are still graduates who do not pursue careers in this field of study. Therefore, this study aimed to identify the factors contributing to the intention to apply mechatronic technology after graduation. The design of this study was conducted using a survey design,using a questionnaire as the instrument for data collection. Moreover, this study also consisted of 90 Mechatronic Technology Certificate students from ITIBukit Katil and ITITangkak. Data were descriptively analyzed using mean scores and standard deviations. Multiple linear regression wasused to identify the most dominant factorcontributingto the student’sintention to apply Mechatronic Technologyafter graduation. The results showed that factorsof technology ease of use, technology usefulness and student behaviour intentions to applymechatronictechnology were high. The findings also demonstrated that ease of use of technology was the most dominant and significant factorinstudents’ intention behaviour to applymechatronic technology after graduation. The impact of this study also provides insight into the TAM Model to understand students' intention to apply mechatronic technology after graduation.

Increasing Generative Artificial Intelligence Competency among Students Enrolled in Doctoral Nursing Research Coursework.

Generative artificial intelligence (AI) tools may soon be integrated into health care practice and research. Nurses in leadership roles, many of whom are doctorally prepared, will need to determine whether and how to integrate them in a safe and useful way. This study aimed to develop and evaluate a brief intervention to increase PhD nursing students' knowledge of appropriate applications for using generative AI tools in health care. We created didactic lectures and laboratory-based activities to introduce generative AI to students enrolled in a nursing PhD data science and visualization course. Students were provided with a subscription to Chat Generative Pretrained Transformer (ChatGPT) 4.0, a general-purpose generative AI tool, for use in and outside the class. During the didactic portion, we described generative AI and its current and potential future applications in health care, including examples of appropriate and inappropriate applications. In the laboratory sessions, students were given three tasks representing different use cases of generative AI in health care practice and research (clinical decision support, patient decision support, and scientific communication) and asked to engage with ChatGPT on each. Students (n = 10) independently wrote a brief reflection for each task evaluating safety (accuracy, hallucinations) and usability (ease of use, usefulness, and intention to use in the future). Reflections were analyzed using directed content analysis. Students were able to identify the strengths and limitations of ChatGPT in completing all three tasks and developed opinions on whether they would feel comfortable using ChatGPT for similar tasks in the future. All of them reported increasing their self-rated competency in generative AI by one to two points on a five-point rating scale. This brief educational intervention supported doctoral nursing students in understanding the appropriate uses of ChatGPT, which may support their ability to appraise and use these tools in their future work.

Impact of Teachers’ Psychological Well-Being on Usability of Systematic Guidance for Constructing Achievement Test Items

Assessment in education is crucial for revealing student achievement potential and motivating learners. Teacher-made tests, a common assessment tool, must be well-designed and aligned with learning objectives to measure student performance effectively. The Systematic Guidance System (SiPantik) was developed to assist teachers in constructing quality test items. This study evaluates SiPantik's usability and its impact on teachers' psychological well-being. Using the USE Questionnaire, the study investigates how the system's ease of use, usefulness, and satisfaction reduce stress and enhance teachers' sense of competence and control. The findings indicate that SiPantik is perceived as a supportive and efficient tool that positively influences psychological well-being by reducing administrative burdens and making the teaching process more enjoyable. The study underscores the importance of user-centric design in educational tools, as the usability and satisfaction provided by SiPantik are closely linked to improved job satisfaction, mental health, and overall life satisfaction. The positive impact of SiPantik highlights the broader benefits of well-designed systems in fostering a supportive and productive educational environment.

Identifying factors of online shopping and influence on purchase intention of product among Saudi consumers: The mediating role of consumer trust

The rise of Internet technology has transformed consumer shopping behaviors, offering convenience and a wide range of options, making online shopping increasingly popular. In Saudi Arabia, this trend has grown significantly due to higher internet penetration, technological advancements, and shifting consumer preferences. However, building and maintaining consumer trust remains a crucial challenge. Despite the growing interest, there is limited research on the unique aspects of Saudi consumers’ online shopping behaviors. This study aims to address this gap by identifying key factors influencing these behaviors and examining their impact on purchase intentions, with a focus on the mediating role of consumer trust. This study explores factors influencing online shopping behavior and their impact on purchase intention, with a focus on consumer trust as a mediator. Using a survey of 573 respondents from Jeddah and Medina, Saudi Arabia, key factors identified through literature review include perceived usefulness, ease of use, risk perception, website quality, and social influence. The quantitative analysis revealed that customer service and return policies, information quality, perceived convenience, ease of use, usefulness, cost-saving, product variety, and social influence significantly affect consumer trust, which in turn enhances purchase intention. These findings provide valuable insights for businesses to optimize digital strategies, enhance consumer engagement, and foster long-term customer relationships, thereby boosting satisfaction and online business success.

Acceptance of the Internet-Based Sharing Nursing Service among caregivers of elderly with chronic diseases

BackgroundIn China, Internet-Based Sharing Nursing Service (IBSNS) is a new mode of nursing service delivery that has been in practice for over five years, which enables nurses to provide care at clients’ home. However, the acceptance and associated factors of IBSNS among caregivers of elderly with chronic diseases who are the major clients of the service were unclear.AimTo explore the acceptance of IBSNS and its associated factors among Chinese caregivers of elderly patient with chronic diseases based on the modified Technology Acceptance Model (mTAM).MethodsA cross-sectional study was conducted from February 2023 to March 2023. Caregivers of hospitalized elderly with chronic diseases were recruited using convenience sampling method from three hospitals in Beijing, China. Data were obtained from self-reports of participants. Structural equation modeling was used to analyze data.ResultsA total of 65.1% of the caregivers had neutral to weakly positive behavioral intention of IBSNS use. The mTAM model was supported with good model fit. Perceived ease of use was positively associated with perceived usefulness. Both perceived usefulness and perceived security were positively associated with attitude, consequently, attitude was associated with behavioral intention.ConclusionsImproving the ease of use, security, and usefulness may be helpful to increase the positive attitude towards IBSNS and behavioral intention of using IBSNS, which provides valuable insights that can help healthcare providers improve the integration of technology in patient care, ultimately leading to better health outcomes and more efficient healthcare systems.

Perceptions of ChatGPT in healthcare: usefulness, trust, and risk.

This study explores the perceptions of ChatGPT in healthcare settings in Taiwan, focusing on its usefulness, trust, and associated risks. As AI technologies like ChatGPT increasingly influence various sectors, their potential in public health education, promotion, medical education, and clinical practice is significant but not without challenges. The study aims to assess how individuals with and without healthcare-related education perceive and adopt ChatGPT, contributing to a deeper understanding of AI's role in enhancing public health outcomes. An online survey was conducted among 659 university and graduate students, all of whom had prior experience using ChatGPT. The survey measured perceptions of ChatGPT's ease of use, novelty, usefulness, trust, and risk, particularly within clinical practice, medical education, and research settings. Multiple linear regression models were used to analyze how these factors influence perception in healthcare applications, comparing responses between healthcare majors and non-healthcare majors. The study revealed that both healthcare and non-healthcare majors find ChatGPT more useful in medical education and research than in clinical practice. Regression analysis revealed that for healthcare majors, general trust is crucial for ChatGPT's adoption in clinical practice and influences its use in medical education and research. For non-healthcare majors, novelty, perceived general usefulness, and trust are key predictors. Interestingly, while healthcare majors were cautious about ease of use, fearing it might increase risk, non-healthcare majors associated increased complexity with greater trust. This study highlights the varying expectations between healthcare and non-healthcare majors regarding ChatGPT's role in healthcare. The findings suggest the need for AI applications to be tailored to address specific user needs, particularly in clinical practice, where trust and reliability are paramount. Additionally, the potential of AI tools like ChatGPT to contribute to public health education and promotion is significant, as these technologies can enhance health literacy and encourage behavior change. These insights can inform future healthcare practices and policies by guiding the thoughtful and effective integration of AI tools like ChatGPT, ensuring they complement clinical judgment, enhance educational outcomes, support research integrity, and ultimately contribute to improved public health outcomes.

Promoting quality education through blended learning during and post COVID-19 pandemic

Purpose The COVID-19 pandemic has had a devastating impact on all facets of education. This led to educational institutions deploying blended and online systems for teaching and learning. The purpose of this study was to assess the role of blended learning in promoting quality education during the COVID-19 pandemic. Design/methodology/approach The qualitative research design was deployed in this study and enabled the researcher to collect data via in-depth interviews. Twenty-five (25) tertiary institutions accredited by the Ghana Tertiary Education Commission (GTEC) were randomly selected to participate in this study. The registrars of the institutions were purposively selected and served as the participants for the study. Thematic content analysis was used to analyze the data collected via the interview. Ethical considerations were adhered to during the study. Findings The study established that COVID-19 had a devastating effect on tertiary institutions; multiple technological and open-sourced systems were deployed for teaching and learning; blended learning was adopted to augment the traditional face-to-face mode of teaching and learning due to its ease of use, usefulness and accessibility as it was used for quizzes and assignments, accessing lecture notes, among others. Despite these, the deployment of technological and blended systems was met with challenges that somehow affected effective teaching, learning. Research limitations/implications The study was limited to 25 tertiary educational institutions in Ghana. It was again limited to the COVID-19 era. Practical implications This research aids in understanding the extent of the impact of COVID-19 on teaching and learning and how blended learning is currently deployed and used in tertiary institutions in Ghana. The findings are relevant to policymakers and management of educational institutions as it informs them of the right method and tools to deploy for teaching and learning during pandemics. Originality/value As educational institutions globally are dealing with the effect of the COVID-19 pandemic, it is prudent to look into how tertiary institutions in Ghana deploy blended learning to facilitate teaching and learning. Thus, this paper is original as it fills the relevant literature gap in terms of scope, setting, methodology and findings.

Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study.

Examine electronic health record (EHR) use and factors contributing to documentation burden in acute and critical care nurses. A mixed-methods design was used guided by Unified Theory of Acceptance and Use of Technology. Key EHR components included, Flowsheets, Medication Administration Records (MAR), Care Plan, Notes, and Navigators. We first identified 5 units with the highest documentation burden in 1 university hospital through EHR log file analyses. Four nurses per unit were recruited and engaged in interviews and surveys designed to examine their perceptions of ease of use and usefulness of the 5 EHR components. A combination of inductive/deductive coding was used for qualitative data analysis. Nurses acknowledged the importance of documentation for patient care, yet perceived the required documentation as burdensome with levels varying across the 5 components. Factors contributing to burden included non-EHR issues (patient-to-nurse staffing ratios; patient acuity; suboptimal time management) and EHR usability issues related to design/features. Flowsheets, Care Plan, and Navigators were found to be below acceptable usability and contributed to more burden compared to MAR and Notes. The most troublesome EHR usability issues were data redundancy, poor workflow navigation, and cumbersome data entry based on unit type. Overall, we used quantitative and qualitative data to highlight challenges with current nursing documentation features in the EHR that contribute to documentation burden. Differences in perceived usability across the EHR documentation components were driven by multiple factors, such as non-alignment with workflows and amount of duplication of prior data entries. Nurses offered several recommendations for improving the EHR, including minimizing redundant or excessive data entry requirements, providing visual cues (eg, clear error messages, highlighting areas where missing or incorrect information are), and integrating decision support. Our study generated evidence for nurse EHR use and specific documentation usability issues contributing to burden. Findings can inform the development of solutions for enhancing multi-component EHR usability that accommodates the unique workflow of nurses. Documentation strategies designed to improve nurse working conditions should include non-EHR factors as they also contribute to documentation burden.

Effectiveness of a Just-In-Time Adaptive App to Increase Daily Steps: An RCT

IntroductionAddressing the public health problem of physical inactivity, this study evaluates “SNapp”, a just-in-time adaptive app intervention to promote walking through dynamically tailored coaching content. It assesses SNapp's impact on daily steps and how users’ perceptions regarding ease of use and usefulness moderated its effectiveness. Study designSNapp was evaluated in an RCT from February 2021 to May 2022. Analyses were conducted in November 2022. Setting/participants176 adults (76% female, mean age of 56 years) were randomized to a control group receiving a step counter app (n = 89) or an intervention group receiving the app plus coaching content (n = 87). InterventionSNapp's coaching content encompasses individually tailored feedback on step counts and advice to engage in more walking, taking preferences regarding behavior change techniques into account. Additionally, SNapp provides contextualized content calling attention to suitable walking locations in the user's environment. Main outcome measuresThe primary outcome was daily step count as recorded by the step counter app. User perceptions regarding ease of use and usefulness were assessed via survey at 3-month follow-up. ResultsMixed models indicated that the intervention did not significantly impact step counts on average over time (B = -202.30, 95% CI = -889.7, 485.1), with the coefficient indicating that the intervention group walked fewer steps per day on average, though this difference was not statistically significant. Perceived ease of use did not moderate the intervention effect (B group x perceived ease of use = 38.60, 90% CI = -276.5, 353.7). Perceived usefulness significantly moderated the intervention effect (B group x perceived usefulness = 344.38, 90% CI = 40.4, 648.3). ConclusionsSNapp increased steps only in users who deemed the app useful, underscoring the importance of user perceptions in app-based interventions. Trial registrationThis trial was preregistered in the Dutch Trial Register (NL7064).

Evaluation criteria for lifestyle applications – The role of MAUQ factors in satisfaction

Abstract The most common health-related apps are lifestyle apps, i.e., fitness, nutrition, diet, and meditation apps, which account for half of all m-health apps on the market. Mobile app-based interventions have been shown to be effective in improving diet-related health outcomes. The aim of this study is to map the usage patterns of lifestyle apps (fitness, diet, and relaxation apps) and identify the role of each factor in the usability of MAUQ (m-Health App Usability Questionnaire) factor - ease of use, interface satisfaction, and usefulness - in overall satisfaction. Data were collected through an online survey in Hungary with 348 users of various lifestyle applications, i.e., fitness (30.2%), nutrition (31.3%), and mindfulness (38.5%) apps. Respondents showed a preference for free apps over paid ones and predominantly used iOS operating systems. The partial least squares structural equation modelling (PLS-SEM) method was used to identify the role of usability dimensions in overall satisfaction. The satisfaction of lifestyle app users is positively influenced by ‘Ease of Use’ and ‘Interface and Satisfaction’. However, effectiveness (positive physical and mental health outcomes) negatively influences satisfaction. Research can be particularly useful for app developers, as usability and design (features) play a particularly important role in satisfaction, so these are primary considerations in development.

User acceptance of strategic planning: Evidence from Northern European municipalities

AbstractStrategic planning is core to public administration at all governmental levels. Evidence suggests that when conducted well strategic planning impacts several performance outcomes. Yet, public administration and strategy scholars have argued that strategic planning is not only a technical procedure. Its success is contingent upon the people involved in strategic planning. This study investigates strategic planning using user acceptance theory. It identifies whether formal and participatory strategic planning associate with ease of use and usefulness of strategic planning and, in turn, whether ease of use and usefulness associate with commitment to strategic plans. Results from PLS‐SEM analysis of survey data from 327 municipalities in three Northern European countries or regions (Flanders, Finland, Norway) corroborate the perspective of strategic planning as organizational behavior where design choices shape attitudes and behaviors. These findings support calls to consider strategic planning from a 3Ps perspective, namely connecting people–process–plan, to achieve outcomes.

O42 USABILITY AND EFFECT OF A HYPERTENSION MOBILE APPLICATION IN KNOWLEDGE AND GUIDELINES ADHERENCE OF FAMILY AND COMMUNITY MEDICINE RESIDENTS

Background: Mobile health (mHealth) applications have become integral in medical education and information access, yet effectiveness varies, and barriers to engagement persist. OBJECTIVE: This study aimed to assess the usability and effectiveness of the mHealth application entitled Hypertension Now in increasing knowledge and guideline adherence among residents. Methods: A before-and-after educational intervention study was conducted among residents of the Department of Family and Community Medicine (DFCM), Philippines General Hospital from January to August 2023. The intervention was a newly developed medical reference app for managing hypertension based on the latest local and international hypertension guidelines. Usability, knowledge score, and adherence rate were measured using a questionnaire, pre- and post-intervention examinations, and medical chart audits. Results: All 32 DFCM residents participated in the study. The app was rated high on ease of use and usefulness for practice by the residents. It was also rated high on interface and overall satisfaction. It significantly increased the knowledge scores of the residents by 1.6 points (p=0.001). The proportion of those who passed the exam significantly increased post-intervention (37.5% vs. 59.4%, p=0.035). Moreover, the app increased the adherence of the residents to proper physical examination (82% vs. 91%, p=0.024), diagnosis (80% vs. 90%, p=0.012), and pharmacologic treatment (53% vs. 83%, p=0.001). There was no increase in adherence to proper risk assessment (83% vs. 78%, p=0.371), laboratory examination (35% vs. 40%, p=0.329), and non-pharmacologic treatment (77% vs. 81%, p=0.470). Conclusion: The mHealth app for hypertension management was usable and effective in increasing the knowledge of family and community medicine residents in managing hypertension. While the app increased guideline adherence to physical examinations, diagnostics, and pharmacological treatments for hypertension, it did not increase adherence to risk assessment, laboratory examination, and non-pharmacologic treatment.