The role of self-efficacy, flexibility, and gender in pharmacy students' health information technology readiness

Biomedical students' self-efficacy and academic performance by gender in a flipped learning haematology course

INTRODUCTION

This study investigated the impact of flipped learning versus traditional instruction on medical students' academic performance and self-efficacy in a haematology course, and examined gender differences. Flipped learning is an instructional approach where students review pre-recorded lecture content at home, and active learning occurs in the classroom. Self-efficacy refers to students' beliefs in their ability to succeed and accomplish learning goals.

METHODS

A quasi-experimental study was conducted with 86 third-year Saudi medical students (46 males, 40 females) in a 10-week haematology course. Students were assigned to flipped learning group (n = 41) or traditional lecture group (n = 45). Both groups completed pre- and post-intervention academic tests and self-efficacy surveys. Data were analyzed using descriptive statistics and t-tests.

RESULTS

The flipped learning group showed an increase in academic scores (p <.05) and self-efficacy scores (p <.05) compared to the traditional group, but between group differences were not statistically significant. Female students in the flipped learning group showed the greatest increase in academic scores and self-efficacy. Most students perceived flipped learning positively for enhancing learning and preparation for class.

CONCLUSION

Flipped learning promoted self-efficacy compared to traditional lectures in medical students. Gender-specific benefits were observed, highlighting the need to design instruction to meet diverse student needs.

Healthcare providers' readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase

BACKGROUND

The adoption of an electronic health record (EHR) in the healthcare system has the potential to make healthcare service delivery effective and efficient by providing accurate, up-to-date, and complete information. Despite its great importance, the adoptions of EHR in low-income country settings, like Ethiopia, were lagging and increasingly failed. Assessing the readiness of stakeholders before the actual adoption of EHR is considered the prominent solution to tackle the problem. However, little is known about healthcare providers' EHR readiness in this study setting. Accordingly, this research was conducted aiming at examining healthcare providers' readiness for EHR adoption and associated factors in southwestern Ethiopia.

METHODS

An institutional-based cross-sectional study was conducted from September 1 to October 30, 2021. A total of 423 healthcare providers working in public hospitals were selected using a simple random sampling technique. Multivariable logistic regression was fitted to identify determinant factors of overall healthcare providers' readiness after the other covariates were controlled.

RESULT

In this study, the overall good readiness level of EHR adoption was 52.8% (n = 204) [95% CI of 47.9% to 56.6%]. Age, computer literacy, computer access at health facilities, attitude towards EHRs, awareness about EHRs, perceived benefit, and perceived technology self-efficacy were significantly associated with the overall health care providers' readiness for the adoption of EHR using a cut point of P-value less than 0.05.

CONCLUSION

Around half of the respondents had a good level of overall healthcare providers' readiness for the adoption of EHR which was considered inadequate. This finding implied that a huge effort is required to improve readiness before the actual implementation of EHRs. The finding implied that younger-aged groups were more ready for such technology which in turn implied; the older one needs more concern. Enhancing computer literacy, confidence building to raise self-efficacy of such technology, addressing the issue of computer availability at health facilities, building a positive attitude, awareness campaign of EHR, and recognizing the usefulness of such systems were the necessary measures to improve EHR readiness in this setting. Additionally, further studies are recommended to encompass all types of EHR readiness such as organizational readiness, technology readiness, societal readiness, and so on. Additionally, exploring the healthcare provider opinion with qualitative study and extending the proposed study to other implementation settings are recommended to be addressed by future works.

Technology‐driven 5G enabled e‐healthcare system during COVID‐19 pandemic

Technology‐driven control measures could be an important tool to control the COVID‐19 pandemic crisis. This study evaluates the potentiality of emerging technologies such as 5G and 6G communication, Deep Learning (DL), big data, Internet of Things (IoT) etc. for controlling the COVID‐19 transmission and ensuring health safety. The healthcare sector is able to provide a unified, rapid, and incessant service to people by applying modern wireless connectivity tools like 5G or 6G during the COVID‐19 pandemic. This study has identified eight key areas of applications for the COVID‐19 management like infection detection; travel history analysis; identification of infection symptoms; early detection; transmission identification; access to information in lockdown; movement of people; and development of medical treatments and vaccines. Data have been collected from the respondents living in Sakaka city, KSA during pandemic. This study reveals that most people receive information from social networking sites, health professionals, and television without facing any challenges. The analysis shows that, during the COVID‐19 pandemic, about 42% of respondents felt tense always or most of the time in a day. Only 28.6% of respondents felt tense sometimes, whereas the remainder (about 30%) did not feel tense in relation to the COVID‐19 crisis. Satisfaction with COVID‐19‐related information is also positively correlated with COVID‐19‐related information literacy (r = 0.53, p < 0.01) that is also positively correlated with depression or emotion, anxiety, and stress (r = ‐0.15, p < 0.05). The long‐term pandemic is creating several psychological symptoms including anxiety, stress, and depression, irrespective of age.

Gender, education, and digital generations as determinants of attitudes toward health information for health workers in West Java, Indonesia

Health information is a commodity heavily sought by Indonesians because of the increasing consciousness of a healthy lifestyle. However, the circulation of health information is consistently disrupted by misinformation and disinformation, particularly on social media and chatting platforms such as WhatsApp. Identified misinformation and disinformation can be found on the official web page run by the Ministry of Communication and Information (https://trustpositif.kominfo.go.id/). Digital information exchange often involves health care workers; they are considered a credible source of health information. The purpose of this study was to delineate the attitudes of health care workers toward health information, determined by gender, educational attainment, and age differences. Health information in this study was information circulated on WhatsApp. We divided the age differences into four digital generations: baby boomers and Generations X, Y, and Z. We used the t-test and analysis of education and age differences when using the analysis of variance to demonstrate the differences among determinants factors of respondents—617 health care workers in West Java—in using WhatsApp when receiving and sharing health information. The results support that attitudes toward health information are determined by education attainment and differences in generation and that gender differences have no effect.

Prioritizing Technology in Pharmacy Education: A Document Analysis of Strategic Plans

The COVID-19 pandemic has required many pharmacy programs to increase their utilization of technology or shift the course of delivery entirely online. Delivery in this setting has exposed areas in the use of technology where pharmacy programs need to improve (such as staff and student training). This study performed a document analysis of strategic plans to identify technology-related strategies and where gaps in planning currently exist. Accredited pharmacy programs in Canada and the USA were included for analysis. A total of 77 strategic plans were identified. Strategic plans were searched for the phrases: "tech", "online", "distance" and "e-learning" to identify technology-related statements. Statements relating to technology in education were coded for (1) the prioritized "action" and (2) the objective or "goal" of this strategy. Quantitative analysis of these codes revealed that the "action" was most frequently to introduce or improve technology (54.4%), and the "goal" most frequently related to enhancing teaching/course delivery/learning (34.2%). Strategic plans appeared to frequently focus on the technology itself, with little consideration for the human aspect of operating technology or readiness of programs to embrace technology. Moving forward, strategic priorities with respect to technology should be refocused towards system readiness and account for resources necessary for target user upskilling and acceptance.