Systematic review of the safety of medication use in inpatient, outpatient and primary care settings in the Gulf Cooperation Council countries

Medication Safety in Saudi Arabia: Evaluating the Current Situation and Identifying the Areas for Improvement

Drug safety is crucial in healthcare, ensuring the secure and effective administration of medications to protect patient welfare. Drug and medication safety is a major concern among Saudi healthcare providers, with numerous studies outlining the incidence of medication errors and the need for enhanced safety standards. This review will examine the existing level of drug-related safety in Saudi Arabia, categorizing the areas for improvement and highlighting concepts to improve safety practices. The overview discusses the history and evolution of pharmaceutical safety procedures, the present regulatory framework, major stakeholders, and the types and origins of prescription errors. It also examines the role of healthcare personnel and the use of technology and patient education in promoting pharmaceutical safety. The data reveal that the rate of pharmaceutical errors in Saudi hospitals is shockingly high, ranging from 13 to 56 per 100 medication orders, highlighting the urgent need for effective medication safety standards. Despite the formation of the Saudi Food and Drug Authority (SFDA) and the National Pharmacovigilance and Drug Safety Centre, issues such as poor understanding among healthcare providers and the need for more effective reporting methods remain a challenge. The evaluation highlights the deficiencies in ongoing education, such as real-world case scenarios and related trainings, inadequate incorporation of skills in assessment methods, and deficiency in standardized protocols for error reporting. To address these gaps, it is proposed to implement structured competency-based training, simulation exercises must be preferred for periodic skill assessments, and a safe reporting culture should be encouraged for the sake of transparency and learning from errors. We recognize the use of technology, such as electronic health records and computerized physician order input systems, as an important technique for improving medication safety. Future directions include creating national guidelines, establishing a centralized pharmaceutical error reporting system, and fostering a safety culture inside healthcare organizations. By addressing these obstacles and capitalizing on the opportunities indicated, we may improve pharmaceutical safety and, ultimately, patient care and outcomes in Saudi Arabia.

Evaluation of prescriptions from tertiary care hospitals across India for deviations from treatment guidelines & their potential consequences

BACKGROUND OBJECTIVES

Irrational prescribing practices have major consequences on patient safety and also increase the economic burden. Real-life examples of impact of irrational prescription have potential to improve prescribing practices. In this context, the present study aimed to capture and evaluate the prevalence of deviations from treatment guidelines in the prescriptions, potential consequence/s of the deviations and corrective actions recommended by clinicians.

METHODS

It was a cross-sectional observational study conducted in the outpatient departments of tertiary care hospitals in India wherein the 13 Indian Council of Medical Research Rational Use of Medicines Centres are located. Prescriptions not compliant with the standard treatment guidelines and incomplete prescriptions with respect to formulation, dose, duration and frequency were labelled as 'prescriptions having deviations'. A deviation that could result in a drug interaction, lack of response, increased cost, preventable adverse drug reaction (ADR) and/or antimicrobial resistance was labelled as an 'unacceptable deviation'.

RESULTS

Against all the prescriptions assessed, about one tenth of them (475/4838; 9.8%) had unacceptable deviations. However, in 2667/4838 (55.1%) prescriptions, the clinicians had adhered to the treatment guidelines. Two thousand one hundred and seventy-one prescriptions had deviations, of which 475 (21.9%) had unacceptable deviations with pantoprazole (n=54), rabeprazole+domperidone (n=35) and oral enzyme preparations (n=24) as the most frequently prescribed drugs and upper respiratory tract infection (URTI) and hypertension as most common diseases with unacceptable deviations. The potential consequences of deviations were increase in cost (n=301), ADRs (n=254), drug interactions (n=81), lack of therapeutic response (n=77) and antimicrobial resistance (n=72). Major corrective actions proposed for consideration were issuance of an administrative order (n=196) and conducting online training programme (n=108).

INTERPRETATION CONCLUSIONS

The overall prevalence of deviations found was 45 per cent of which unacceptable deviations was estimated to be 9.8 per cent. To minimize the deviations, clinicians recommended online training on rational prescribing and administrative directives as potential interventions.

A Cell-Phone Medication Error eHealth App for Managing Safety in Chronically Ill Young Patients at Home: A Prospective Study

Introduction: Whereas ample information describes medication errors (MEs) in children or in mixed pediatric and adult populations discharged with acute or chronic diseases from hospital to community settings, little is known about MEs in children and adolescents with chronic diseases discharged home, a major concern. To promote home medication safety, we trained parents of children discharged with chronic diseases to record ME with a tailored cell-phone eHealth app. Methods: In a 1-year prospective study, we used the app to monitor ME in patients with chronic diseases discharged home from a tertiary hospital in Rome, Italy. Univariate and multivariate analyses detected the ME incidence rate ratio (IRR). Results: Of the 310 parents enrolled, 194 used the app. The 41 MEs involved all drug management phases. The ME IRR was 0.46 errors per child. Children <1 year had the highest ME risk (1.69 vs. 0.35, p = 0.002). Children discharged from the cardiology unit had a statistically higher ME IRR than others (3.66, 95% confidence interval: 1.01-13.23%). Conclusions: The highest ME risk at home involves children with chronic diseases <1 year old. A significant ME IRR at home concerns children with heart diseases of any age. Parents find a tailored eHealth app for monitoring and reporting ME at home easy to use. At discharge, clinical teams need to identify age-related and disease-residual risks to target additional actions for monitoring ME, thus increasing medication safety at home.

Pharmacy practice and clinical pharmacy research in the Middle East: a scoping review of studies from Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Palestine, Qatar, Saudi Arabia, Syria, United Arab Emirates, and Yemen

BACKGROUND

Pharmacy practice research publications has increased significantly in the last decade. This is also true for Middle Eastern countries.

AIMS

The aim of this study was to document and review pharmacy practice literature in the Middle Eastern Arab countries.

MATERIALS AND METHODS

A scoping review was conducted using PRISMA-ScR guidelines. Medline/PubMed and Scopus were used to screen the articles. All published original research articles concerning any facet of pharmacy practice in 12 Arabic Middle Eastern countries during 2009-2019 were included. A thematic analysis was performed to classify the articles.

RESULTS

Nine hundred and eighty-one articles were included in this study. Eight themes emerged from the selected articles. Medication use was the predominant theme 30.78% (302), followed by pharmacy practice and pharmacist services 22.94% (225), and then pharmacy education and professional development 16.31% (160). The KSA, Jordan, Qatar, and the UAE were the leading countries to publish pharmacy practice research.

CONCLUSIONS

Pharmacy practice research is growing and significantly adding to enhance pharmaceutical health services in the Middle East Region. There is a need to develop a research agenda. This will help in enriching the practice, as well as to avoid repetitive ideas.

Workload as the most Important Influencing Factor of Medication Errors by Nurses

Background:

This research is motivated by the fact that medication errors are serious threats to the safety of patients in hospitals. Nurses are one of the health workers who play a significant role in preventing these errors.

Objective:

The aim of this quantitative research is to determine the factors that influence the incidence of medication errors by nurses.

Methods:

The adopted method had a correlative descriptive design and used samples obtained from 164 nurses through a purposive sampling technique. The sample inclusion criteria were the nurses who worked in patient’s rooms, those who were healthy and not sick, not currently in school, and were willing to be respondents. Furthermore, the research instruments were questionnaires, which were developed through the Cronbach's alpha validity and reliability test results of 0.681 and 0.873, respectively. Analysis was conducted using the independent t test, X2 (chi-square) and multiple logistic regressions.

Results:

The results showed that the factors which influenced the incidence of medication errors were work experience, motivation, workload, managerial and environmental elements. Moreover, the variable which contributed the most, with a p-value of 0.004 and OR of 5.387 was workload.

Conclusion:

Finally, the following factors, including nurse's workload, motivation, work experience, good managerial management and environmental elements, should be considered when preventing medication errors.

Medication Error During the Day and Night Shift on Weekdays and Weekends: A Single Teaching Hospital Experience in Riyadh, Saudi Arabia

Background

The association between medication error incidence and time (day shift vs night shift) have not been extensively studied in Saudi Arabia, this study aimed to answer this question: is there a relationship between medication error incidence and time of the day (day shifts vs night shifts) on weekdays and weekends?.

Objective

To identify whether medication errors and their sub-categories are significantly different between day shifts, night shifts, during weekdays and weekends.

Methods

A retrospective analysis of medication errors reported by health-care practitioners from January 2018 to December 2019 through the Electronic-Occurrence Variance Reporting System (E-OVR) of a university teaching hospital in Riyadh, Saudi Arabia. Statistical analysis was used to determine the differences between the medication errors and their sub-categories and day and night shifts during weekdays (from Sunday to Thursday) and weekends (Friday and Saturday).

Results

A total of 2626 medication errors were reported over 2 years from January 2018 to December 2019. The most prevalent sub-category of medication errors was prescribing errors (55%), while the least common sub-category of medication errors was administration errors (0.6%). There was a statistically significant difference between medication errors and day of the week. Medication errors that happened on weekdays were greater than at weekends (P = 0.01). During weekends, medication errors were more likely to occur at the night shift compared to the day shift (P < 0.05).

Conclusion

Timing of medication errors incidence is an important factor to be considered for improving the medication use process and improving patient safety. Further researches are needed that focus on intervention to reduce these errors, especially during night shifts.

Prescribing errors among adult patients in a large tertiary care system in Saudi Arabia

BACKGROUND

Multiple studies have investigated medication errors in hospitals in Saudi Arabia; however, prevalence data on prescribing errors and associated factors remains uncertain.

OBJECTIVE

Assess the prevalence, type, severity, and factors associated with prescribing errors.

DESIGN

Retrospective database review.

SETTING

Large tertiary care setting in Riyadh.

PATIENTS AND METHODS

We described and analyzed data related to prescribing errors in adults (>14 years of age) from the Medication Error Electronic Report Forms database for the two-year period from January 2017 to December 2018.

MAIN OUTCOME MEASURE

The prevalence of prescribing errors and associated factors among adult patients.

SAMPLE SIZE

315 166 prescriptions screened.

RESULTS

Of the total number of inpatient and outpatient prescriptions screened, 4934 prescribing errors were identified for a prevalence of 1.56%. The most prevalent types of prescribing errors were improper dose (n=1516; 30.7%) and frequency (n=987; 20.0%). Two-thirds of prescribing errors did not cause any harm to patients. Most prescribing errors were made by medical residents (n=2577; 52%) followed by specialists (n=1629; 33%). Prescribing errors were associated with a lack of documenting clinical information (adjusted odds ratio: 14.1; 95% CI 7.7-16.8, P<.001) and prescribing anti-infective medications (adjusted odds ratio 2.9; 95% CI 1.3-5.7, P<.01).

CONCLUSION

Inadequate documentation in electronic health records and prescribing of anti-infective medications were the most common factors for predicting prescribing errors. Future studies should focus on testing innovative measures to control these factors and their impact on minimizing prescribing errors.

LIMITATIONS

Polypharmacy was not considered; the data are from a single healthcare system.

CONFLICT OF INTEREST

None.

Interventions to Reduce Pediatric Prescribing Errors in Professional Healthcare Settings: A Systematic Review of the Last Decade

INTRODUCTION

Pediatric medication therapy is prone to errors due to the need for pharmacokinetic and pharmacodynamic individualization and the diverse settings in which pediatric patients are treated. Prescribing errors have been reported as the most common medication error.

OBJECTIVES

The aim of this review was to systematically identify interventions to reduce prescribing errors and corresponding patient harm in pediatric healthcare settings and to evaluate their impact.

METHODS

Four databases were systematically screened (time range November 2011 to December 2019), and experimental studies were included. Interventions to reduce prescribing errors were extracted and classified according to a 'hierarchy of controls' model.

RESULTS

Forty-five studies were included, and 70 individual interventions were identified. A bundle of interventions was more likely to reduce prescribing errors than a single intervention. Interventions classified as 'substitution or engineering controls' were more likely to reduce errors in comparison with 'administrative controls', as is expected from the hierarchy of controls model. Fourteen interventions were classified as substitution or engineering controls, including computerized physician order entry (CPOE) and clinical decision support (CDS) systems. Administrative controls, including education, expert consultations, and guidelines, were more commonly identified than higher level controls, although they may be less likely to reduce errors. Of the administrative controls, expert consultations were most likely to reduce errors.

CONCLUSIONS

Interventions to reduce pediatric prescribing errors are more likely to be successful when implemented as part of a bundle of interventions. Interventions including CPOE and CDS that substitute risks or provide engineering controls should be prioritized and implemented with appropriate administrative controls including expert consultation.

Interventions to Reduce Medication Dispensing, Administration, and Monitoring Errors in Pediatric Professional Healthcare Settings: A Systematic Review

Introduction: Pediatric patients cared for in professional healthcare settings are at high risk of medication errors. Interventions to improve patient safety often focus on prescribing; however, the subsequent stages in the medication use process (dispensing, drug administration, and monitoring) are also error-prone. This systematic review aims to identify and analyze interventions to reduce dispensing, drug administration, and monitoring errors in professional pediatric healthcare settings. Methods: Four databases were searched for experimental studies with separate control and intervention groups, published in English between 2011 and 2019. Interventions were classified for the first time in pediatric medication safety according to the "hierarchy of controls" model, which predicts that interventions at higher levels are more likely to bring about change. Higher-level interventions aim to reduce risks through elimination, substitution, or engineering controls. Examples of these include the introduction of smart pumps instead of standard pumps (a substitution control) and the introduction of mandatory barcode scanning for drug administration (an engineering control). Administrative controls such as guidelines, warning signs, and educational approaches are lower on the hierarchy and therefore predicted by this model to be less likely to be successful. Results: Twenty studies met the inclusion criteria, including 1 study of dispensing errors, 7 studies of drug administration errors, and 12 studies targeting multiple steps of the medication use process. A total of 44 interventions were identified. Eleven of these were considered higher-level controls (four substitution and seven engineering controls). The majority of interventions (n = 33) were considered "administrative controls" indicating a potential reliance on these measures. Studies that implemented higher-level controls were observed to be more likely to reduce errors, confirming that the hierarchy of controls model may be useful in this setting. Heterogeneous study methods, definitions, and outcome measures meant that a meta-analysis was not appropriate. Conclusions: When designing interventions to reduce pediatric dispensing, drug administration, and monitoring errors, the hierarchy of controls model should be considered, with a focus placed on the introduction of higher-level controls, which may be more likely to reduce errors than the administrative controls often seen in practice. Trial Registration Prospero Identifier: CRD42016047127.

Skill acquisition of safe medication administration through realistic simulation: an integrative review

OBJECTIVE

to investigate evidence that indicates the contribution of realistic high, medium or low fidelity simulation to acquire knowledge, skills and attitudes in safe medication administration by nursing students.

METHODS

an integrative review of experimental studies from MEDLINE, LILACS, Web of Science, Scopus and Science Direct. The descriptors "nursing students", "simulation", "high fidelity simulation training", "medication errors" and "pharmacology" were used to identify 14 studies that answered the research question, and were assessed for accuracy methodological level and level of evidence.

RESULTS

there was a sample of quasi-experimental studies, (level 3 of evidence; 78.6%) and randomized clinical trials (level 2 of evidence; 21.4%), whose expressive majority showed superiority of the simulation strategy over the traditional methodology (71.4%).

CONCLUSION

using low and high fidelity simulators, standardized patients and virtual simulation can promote acquisition of essential skills for patient safety.

Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar

Background Medication errors are a major public health concern that negatively impact patient safety and health outcomes. Effective and efficient medication error reporting systems and practices are imperative in reducing error incidence and severity. Objective The objectives were to quantify the incidence, nature and severity of medication errors, and to explore potential causality using a theoretical framework. Setting The study was conducted at Hamad Medical Corporation, the largest public funded academic healthcare center in the state of Qatar. Methods A retrospective review of medication error reports submitted to the Hamad Medical Corporation incident reporting system during 2015 to 2017. Data related to number of reports, reporter, medication, severity and outcomes were extracted. Reason’s Accident Causation Model was used as a theoretical framework for identifying potential causality. Two researchers independently categorized errors as: active failures (e.g. forgetting to administer medication at scheduled time); error provoking conditions (e.g. medication prescribed by an unauthorized physician and administered to the patient); and latent failures (e.g. organizational factors, lack of resources). Main outcome measures Incidence, classes of medications, reporter, error severity and outcomes, potential causality. Results A total of 5103 reports provided sufficient information to be included in the study giving an estimated error incidence of 0.044% of prescribed medication items. Most of the reports (91.5%, n = 4667) were submitted by pharmacists and majority (87.9%, n = 4485) were prescribing errors. The most commonly reported medications were anti-infectives for systemic use (22.0%, n = 1123) followed by medications to treat nervous system disorders (17.2%, n = 876). Only three errors reported to have caused temporary harm requiring intervention while one contributed to or resulted in temporary harm requiring initial or prolonged hospitalization. In terms of potential causality of medication errors, the majority (91.5%, n = 4671) were classified as active failures. Conclusion Almost all reports were submitted by pharmacists, indicating likely under-reporting affecting the actual incidence. Effort is required to increase the effectiveness and efficiency of the reporting system. The use of the theoretical framework allowed identification of potential causality, largely in relation to active failures, which can inform the basis of interventions to improve medication safety.

Factors affecting people's attitude toward participation in medical research: a systematic review

Objective: Human participants play an important role in medical care advances. Recruiting enough participants is perhaps the most significant procedure that determines the success of medical research, and high participation rate brings about many benefits. Therefore, acquiring enough participants is important for medical researchers. To understand how to improve participation rate, we need to clarify factors affecting the public's attitude toward medical research. Through this review, we aim to examine which factors affect the attitude of human participants toward medical research.Methods: The relevant data were searched by using the keywords "Public," "Participants," "Medical" and "Research" in PubMed (MEDLINE), International Pharmaceutical Abstracts, Web of Science, Science Direct, CINAHL Plus, EMBASE, and China Knowledge Resource Integrated databases. A manual search was done to acquire peer-reviewed articles and reports about participation in medical research.Results: Sixty-three studies were identified for inclusion after full text screening. The included studies were of variable quality. Some factors affecting people's attitude toward participating in medical research have been identified and discussed in our review.Conclusion: This review demonstrated that willingness of participants to take part in medical research was influenced by a variety of factors. These factors may be used to predict the public's willingness to take part in medical research and may potentially be used in developing strategies aimed at improving participation rate.

Can patient and family education prevent medical errors? A descriptive study

Background

This study aims to increase understanding of how patient and family education affects the prevention of medical errors, thereby providing basic data for developing educational contents.

Methods

This descriptive study surveyed patients, families, and Patient Safety Officers to investigate the relationship between educational contents and medical error prevention. The Chi-square test and ANOVA were used to derive the results of this study. The educational contents used in this study consisted of health information (1. current medicines, 2. allergies, 3. health history, 4. previous treatments/tests and complications associated with them) and Speak Up (1. handwashing, 2. patient identification, 3. asking about medical conditions, 4. asking about test results, 5. asking about behaviour and changes in lifestyle, 6. asking about the care plan, 7. asking about medicines, and 8. asking about medicine interactions).

Results

In this study, the first criterion for choosing a hospital for treatment in Korea was ‘Hospital with a famous doctor’ (58.6% patient; 57.7% families). Of the patients and their families surveyed, 82.2% responded that hospitals in Korea were safe. The most common education in hospitals is ‘Describe your medical condition’, given to 69.0% of patients, and ‘Hospitalisation orientation’, given to 63.4% of families. The most important factors in preventing patient safety events were statistically significant differences among patients, family members, and Patient Safety Officers (p = 0.001). Patients and families had the highest ‘Patient and family participation’ (31.0% of patients; 39.4% of families) and Patient Safety Officers had the highest ‘Patient safety culture’ (47.8%).

Conclusions

Participants thought that educational contents developed through this study could prevent medical errors. The results of this study are expected to provide basic data for national patient safety campaigns and standardised educational content development to prevent medical errors.

Addressing medication errors in an adult oncology department in Saudi Arabia: A qualitative study

OBJECTIVE

There is a wide range of strategies that could help in minimizing medication errors during healthcare delivery. We undertook a qualitative study to identify recommended solutions to minimize medication errors in an adult oncology department in Saudi Arabia from the perspectives of healthcare professionals.

METHODS

This was a qualitative study conducted in an adult oncology department in Saudi Arabia. After obtaining the required ethical approvals and written consents from the participants, seven focus group discussions were carried out for data collection. A stratified purposive sampling strategy was used to recruit medical doctors, pharmacists, and nurses. NVivo Pro version 11 was used for data analyses. Inductive content analysis was adopted in the coding of collected data.

RESULT

Our study showed that improving organizational support, staff education, and communication could help in minimizing medication errors in the adult oncology department.

CONCLUSION

The adoption of multiple strategies is required to improve the safety of the medication process in the adult oncology department. We argue that the availability of supportive leadership should be prioritized as it plays a crucial role in determining the effectiveness and efficiency of both staff education and communication.

Factors associated to potential drug interactions in one Intensive Care Unit: a cross-sectional study

ABSTRACT Objective: to identify the factors associated to Potential Drug Interactions with High Alert Medications in the Intensive Care Unit of a Sentinel Hospital. Methods: a cross-sectional, retrospective study using a quantitative approach carried out at a Sentinel Hospital in Rio de Janeiro. The research was based on the analysis of the prescriptions of patients hospitalized in the Intensive Care Unit of the Hospital, in a period of one year, in order to identify the drug interactions related to high alert medications in these prescriptions. Results: Of the 60 prescriptions analyzed, 244 were selected. In these prescriptions, 846 potential drug interactions related to high alert medications and 33 high alert medications were identified. Of the 112 types of potential drug interactions identified, some were more recurrent: tramadol e ondansetron, midazolam and omeprazole, regular insulin and hydrocortisone, fentanyl and midazolam, and regular insulin and noradrenaline. The variables polypharmacy, length of hospital stay, and some specific medications were associated with drug interactions with high alert medications. Conclusion and Implications for practice: It is important to strengthen strategies to reduce adverse drug events. Therefore, the relevance of studies that investigate the origin of these events is highlighted. Drug interactions can represent medication errors. It’s indispensable to work with strategies to better manage the medication system.