Prescribers' and Pharmacists' Perception of Adoption and Implementation of Electronic Prescribing and Medication Management System in Public Health Facilities of Dessie city, Northeast Ethiopia
Gebrehiwot, G. M.; Ebrahim, N.; Bayked, E. M.; Yesuf, T. A.; Mohammed, S. A.
Show abstract
Medication errors are one of the major causes of preventable adverse drug effects. Errors associated with prescribing and dispensing are prevalent. Electronic prescribing (e-prescribing) offers a solution to mitigate these errors by enhancing legibility, dosing, and remote accessibility. This study aimed to investigate the perceptions of prescribers and pharmacists regarding the adoption and implementation of electronic prescribing (e-prescribing) and electronic medication management (EMM) systems in public health facilities of Dessie City administration, Northeast Ethiopia. A cross-sectional survey was conducted from April 20 to June 25, 2022, in public health facilities of Dessie City administration. A structured self-administered questionnaire was employed to collect data from 201 prescribers and pharmacists. The study was based on the unified theory of acceptance and use of technology model. Data were analyzed using SPSS version 25 and SmartPLS version 4.0. Nearly 34 (72.5%) of the respondents were males. The majority (88.6%) of the participants had a positive perception towards the use of e-prescribing and EMM systems. The mean score for performance expectancy, effort expectancy, and facilitating conditions were 4.29, 4.26, and 4.18, respectively. Perceived facilitating conditions ({beta} = 0.271, p = 0.003), price value ({beta} = 0.239, p = 0.002), performance expectancy ({beta} = 0.237, p = 0.008), and effort expectancy ({beta} = 0.176, p = 0.008) were found to affect the acceptance of e-prescribing and EMM systems among prescribers and pharmacists. Prescribers and pharmacists have a positive perception towards the use of e-prescribing and EMM systems. Perceived facilitating conditions, price value, performance expectancy, and effort expectancy significantly influence acceptance. The effect of perceived credibility on acceptance was fully mediated by performance expectancy. Author SummaryDespite the demonstrated effectiveness of e-prescribing and Electronic Medication Management (EMM) systems in reducing medication errors, their adoption in developing countries has been sluggish. Furthermore, there have been reports of a high rate of failure to realize the anticipated benefits following the implementation of electronic information systems. The acceptance of technology by healthcare professionals is one of the major factors influencing the success or failure of health information system implementation. Most of the studies conducted in Africa regarding the acceptance of technology in healthcare predominantly focused on e-prescribing systems. In Ethiopia, studies on technology acceptance within the healthcare sector are limited, with a few studies focusing on the acceptance of EMM systems. To our search, no study has been conducted to assess physicians and/or pharmacists perceptions regarding the acceptance of e-prescribing and EMM systems in Ethiopia. Our study aims to assess the acceptance of e-prescribing and EMM systems by prescribers and pharmacists and the factors influencing the acceptance of these systems in public health facilities of Dessie city administration, North East Ethiopia using a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model. The findings of our study are likely to be a great interest to policy makers, researchers, clinicians, and trainees.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Assessment of knowledge and perception of prescribers towards rational medicine use in the Ashanti Region of Ghana 96%
- Perspectives of pharmacy employees on an inappropriate use of antimicrobials in Kathmandu, Nepal 94%
- Developing and validation of a questionnaire for assessment of individual's perceived risk of four major non-communicable diseases in Myanmar 94%
Similar papers in this journal
- Exploring Factors Affecting the Adoption and Continuance Usage of Drone in Healthcare: The Role of the Environment 95%
- Impact of electronic medical records on healthcare delivery in Nigeria: A Review 95%
- The NASSS (Non-Adoption, Abandonment, Scale-Up, Spread and Sustainability) framework use over time: A scoping review 93%
Similar papers in this journal
- Health indicators as a measure of individual health status: public perspectives 93%
- Artificial Intelligence (AI)-based Chatbots in Promoting Health Behavioral Changes: A Systematic Review 93%
- How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: a literature review 92%
Similar papers in this journal
- Knowledge, attitude and practice toward COVID-19 among healthcare workers in public health facilities, Eastern Ethiopia 93%
- A Web-based, Mobile Responsive Application to Screen Healthcare Workers for COVID Symptoms: Descriptive Study 92%
- Exploring Patient and Staff Experiences of Video Consultations During COVID-19 in an English Outpatient Care Setting: Secondary Data Analysis of Routinely Collected Feedback Data 91%
Similar papers in this journal
- Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool 92%
- The relationship between demographic, psychosocial and health-related parameters and the impact of COVID-19: a study of twenty-four Indian regions 90%
- Belief in Conspiracy Theory about COVID-19 Predicts Mental Health and Well-being -- A Study of Healthcare Staff in Ecuador 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.