Evaluation of community pharmacists' knowledge about drug-drug interaction in Central Saudi Arabia

The development and impact of an app for a smart drug interaction reminder system

BACKGROUND

Improved access to media and medical knowledge has elicited stronger public health awareness.

OBJECTIVE

This study developed a smart drug interaction reminder system for patients to increase knowledge and reduce nurse workload.

METHODS

This study used a single-group pre-test/post-test design and applied mining techniques to analyze the weight and probability of interaction among various medicines. Data were collected from 258 participants at a teaching hospital in northern Taiwan using convenience sampling. An app was used to give patients real-time feedback to obtain access to information and remind them of their health issues. In addition to guiding the patients on medications, this app measured the nurses' work satisfaction and patients' knowledge of drug interaction.

RESULTS

The results indicate that using information technology products to assist the app's real-time feedback system promoted nurses' work satisfaction, improved their health education skills, and helped patients to better understand drug interactions.

CONCLUSION

Using information technology to provide patients with real-time inquiring functions has a significant effect on nurses' load reduction. Thus, smart drug interaction reminder system apps can be considered suitable nursing health education tools and the SDINRS app can be integrated into quantitative structure-activity relationship intelligence in the future.

Community pharmacists' perspectives towards automated pharmacy systems and extended community pharmacy services: An online cross-sectional study

Background

Private sector partnerships through community pharmacies are essential for effective healthcare integration to achieve the United Nations 2030 Agenda for Sustainable Development Goals. This partnership can provide significant clinical outcomes and reduce health system expenditures by delivering services focused on patient-centred care, such as public health screening and medication therapy management.

Objectives

To assess the understanding of the proposed strategic and health system reform in Saudi Arabia by exploring community pharmacists' perspectives towards the capacity and readiness of community pharmacies to use automated pharmacy systems, provide extended community pharmacy services, and identify perceived barriers.

Materials and methods

This multicentre, cross-sectional, web-based survey was conducted in Saudi Arabia (October-December 2021). Graphical and numerical statistics were used to describe key dimensions by the background and characteristics of the respondents, and multiple ordinal logistic regression analyses were sought to assess their associations.

Results

Of the 403 consenting and participating community pharmacists, most were male (94%), belonged to chain pharmacies (77%), and worked >48 h per week (72%). Automated pharmacy systems, such as electronic prescriptions, were never utilised (50%), and health screening services, such as blood glucose (76%) and blood pressure measurement (74%), were never provided. Services for medication therapy management were somewhat limited. Age groups ≤40 years, chain pharmacies, >10 years of experience and ≥ 3 pharmacists in place with <100 daily medication prescriptions and Jazan province were significantly more likely to provide all medication therapy management services than others. Operational factors were the barriers most significantly associated with the independent variables.

Conclusion

The results showed that most services and automated pharmacy systems remained limited and well-needed. When attempting to implement these services to drive change, community pharmacies face numerous challenges, and urgent efforts by private and government sectors are essential to improve pharmaceutical care in community pharmacy settings.

Community pharmacists' response to complaints of gastroesophageal reflux: A simulated patient study in the Northern United Arab Emirates

INTRODUCTION

Patients frequently use gastric acid-reducing agents (ARAs) to treat symptoms affecting the gastrointestinal tract. Thus, the risk for drug-drug interactions (DDI) is a serious concern. This potentially makes the community pharmacist (CP) act as a primary intervention by providing the appropriate counseling and dispensing practice.

OBJECTIVE

To evaluate CPs' counseling and dispensing practices regarding complaints of Gastroesophageal Reflux Disease (GERD), including recommending an appropriate course of action to prevent possible DDIs.

MATERIALS AND METHODS

A simulated patient (SP) methodology was used in this study. The community pharmacies in Ajman and Sharjah were visited by SP who's responsible for acting as a patient, and by an observer who's responsible for focusing on the interaction between the SP and the CPs without engagement. Data were recorded using a preprepared data collection form. Performance feedback was sent to the CPs after concluding all visits. Counseling and dispensing scores were classified based on the total scores to poor, inadequate, and complete. Appropriateness of the pharmacist's decision was defined as dispensing antacid and advising of separating doses apart in time.

RESULTS

A total of 150 community pharmacies was included in the data analysis. The findings of the current study demonstrated poor counseling and dispensing for the vast majority of the participants (81.3% and 67.3% of respondents, respectively). Only 4% of the CPs advised the SP to have a time interval between antacid and cefuroxime axetil. A significant difference in counseling scores was found between pharmacies located in Ajman and Sharjah (p = 0.01). Also, there was a significant difference in dispensing scores between independent and chain pharmacies (p = 0.003).

CONCLUSIONS

The findings revealed inadequate counseling and dispensing practice by CPs. This study highlighted the need for continuous professional training programs to endow the CPs with the knowledge necessary for improving the CPs' counseling and dispensing practices.

South African healthcare workers' knowledge of dolutegravir's drug-drug interactions in the first year of its rollout: a cross-sectional online survey

Introduction

In December 2019, dolutegravir‐based treatment was recommended as first‐line antiretroviral therapy (ART) in South Africa. Dolutegravir has clinically significant interactions with several commonly used drugs, such as rifampicin, metformin and cation‐containing medicines. National guidelines detail these interactions and how to manage them. While previous international studies have shown low healthcare worker knowledge of drug–drug interactions, there is a paucity of information on antiretroviral interaction knowledge in the South African setting, where much ART is nurse‐led. The study aimed to determine this knowledge and to describe which variables were associated with gaps in knowledge.

Methods

An anonymous online survey of healthcare workers in the field of HIV was conducted in August/September 2020. The survey was designed, tested and piloted, and included sections on demographics, guideline access and training, interaction knowledge, counselling and the effect of COVID‐19. Dissemination was via e‐mail and social media (convenience sampling). Descriptive and inferential analysis was done using proportions and the 95% confidence interval to determine relationships between independent and dependent variables. Research ethics approval was obtained from the University of Cape Town's Human Research Ethics Committee (HREC Ref: 357/2020).

Results and discussion

In total, 1950 survey responses were included in the analysis – 47.1% nurses, 35.8% doctors and 8.9% pharmacists. When asked whether they were aware that dolutegravir has interactions, 70% said yes, 13.9% said no and 16.1% did not answer. Knowledge of specific interactions and the dosing changes needed was low with a wide range between different drugs: 79.7% knew to double the dolutegravir dose with rifampicin, but with calcium, 5.1% picked both correct dosing options and 33.7% picked one of the two correct options. Access to guidelines and training were positively associated with drug interaction knowledge.

Conclusions

There are gaps in the awareness and knowledge of dolutegravir interactions and how to adjust dosing among South African healthcare workers.

The Practice of the Community Pharmacists in Managing Potential Drug-Drug Interactions: A Simulated Patient Visits

Background

Drug-drug interactions (DDIs) can cause treatment failure and serious adverse drug reactions, leading to morbidity and mortality. Due to their significant effects on the patient’s health, community pharmacists (CPs) competence in detecting and preventing these interactions is essential to provide optimal health services. Thus, this study aimed to explore the performance of the CPs in situations involving the presence of potential DDIs.

Methods

A cross-sectional, simulated patient study was conducted in 235 community pharmacies in the Khartoum locality. Two scenarios were used to evaluate the performance of the CPs. Ten final year B. Pharm. students were selected to act as simulated patients (SPs); they were trained for two weeks to familiarize their roles. All encounters were documented immediately after leaving the pharmacy by the SPs in the data collection form.

Results

All planned SPs visits were completed, resulting in 470 visits. None of the CPs asked about the patients’ medication history in both scenarios. After the SPs provided information about the drug used currently by the patient, 13.6% and 23.4% of the CPs had identified the potential DDIs in scenario 1 and scenario 2, respectively. In scenario 1, 59.4% distinguished the interaction of simvastatin with both drugs, while, in scenario 2, 74.5% recognized the interaction of warfarin with both drugs. In identifying DDIs, around half of the CPs were dependent on their knowledge or using drug interaction checker programs. The most common intervention made by the CPs was referring the patient to the prescriber (56.3% CPs in scenario 1 and 60% CPs in scenario 2).

Conclusion

CPs practice in identifying and managing potential DDIs was poor. The current CPs practices need substantial improvement. Therefore, professional education and the use of software programs in community pharmacies should be encouraged.

Knowledge, attitudes and practices of healthcare professionals regarding drug-food interactions: a scoping review

OBJECTIVES

Drug-food interactions (DFIs) are a problem in clinical practice as they can alter the bioavailability of drugs and nutrients and may lead to various adverse effects. Healthcare professionals (HCPs) play a significant role in counselling patients and preventing these interactions. Knowledge, attitudes and practices (KAPs) regarding DFIs are, therefore, vital to ensure that they carry out their role efficiently. This review maps evidence on KAPs of HCPs regarding DFIs and highlights gaps for further research.

METHODS

A systematic literature search for the period from 1990 to 2018 was done using Google Scholar, PubMed and ScienceDirect. Keywords such as 'knowledge, attitudes, practices, healthcare professionals, drug-food interactions' in combination with the Boolean operator (AND) were used. Articles published only in English that described KAPs of HCPs relating to DFIs were included.

KEY FINDINGS

Twelve studies were included in this review. Inadequate knowledge was observed among the HCPs as they were unable to identify important DFIs. The HCPs had a positive attitude towards acquiring knowledge, reporting and counselling patients on DFIs. Most of the medical residents felt that they were inadequately trained on DFIs and over half believed that DFIs were only slightly important in clinical practice.

CONCLUSION

Deficits exist in the KAPs of HCPs regarding DFIs. An educational intervention targeting HCPs is recommended. Further research assessing the KAPs of the HCPs is required as the small number of studies conducted was a limitation.

Mobile Apps for Drug-Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis

Background

As a computerized drug–drug interaction (DDI) alert system has not been widely implemented in China, health care providers are relying on mobile health (mHealth) apps as references for checking drug information, including DDIs.

Objective

The main objective of this study was to evaluate the quality and content of mHealth apps supporting DDI checking in Chinese app stores.

Methods

A systematic review was carried out in November 2020 to identify mHealth apps providing DDI checking in both Chinese iOS and Android platforms. We extracted the apps’ general information (including the developer, operating system, costs, release date, size, number of downloads, and average rating), scientific or clinical basis, and accountability, based on a multidimensional framework for evaluation of apps. The quality of mHealth apps was evaluated by using the Mobile App Rating Scale (MARS). Descriptive statistics, including numbers and percentages, were calculated to describe the characteristics of the apps. For each app selected for evaluation, the section-specific MARS scores were calculated by taking the arithmetic mean, while the overall MARS score was described as the arithmetic mean of the section scores. In addition, the Cohen kappa (κ) statistic was used to evaluate the interrater agreement.

Results

A total of 7 apps met the selection criteria, and only 3 included citations. The average rating score for Android apps was 3.5, with a minimum of 1.0 and a maximum of 4.9, while the average rating score for iOS apps was 4.7, with a minimum of 4.2 and a maximum of 4.9. The mean MARS score was 3.69 out of 5 (95% CI 3.34-4.04), with the lowest score of 1.96 for Medication Guidelines and the highest score of 4.27 for MCDEX mobile. The greatest variation was observed in the information section, which ranged from 1.41 to 4.60. The functionality section showed the highest mean score of 4.05 (95% CI 3.71-4.40), whereas the engagement section resulted in the lowest average score of 3.16 (95% CI 2.81-3.51). For the information quality section, which was the focus of this analysis, the average score was 3.42, with the MCDEX mobile app having the highest score of 4.6 and the Medication Guidelines app having the lowest score of 1.9. For the overall MARS score, the Cohen interrater κ was 0.354 (95% CI 0.236-0.473), the Fleiss κ was 0.353 (95% CI, 0.234-0.472), and the Krippendorff α was 0.356 (95% CI 0.237-0.475).

Conclusions

This study systematically reviewed the mHealth apps in China with a DDI check feature. The majority of investigated apps demonstrated high quality with accurate and comprehensive information on DDIs. However, a few of the apps that had a massive number of downloads in the Chinese market provided incorrect information. Given these apps might be used by health care providers for checking potential DDIs, this creates a substantial threat to patient safety.

Assessment of Physician's Knowledge of Potential Drug-Drug Interactions: An Online Survey in China

Background: Drug interactions are the most common preventable cause of adverse drug reaction, which may result in drug toxicity or undesired therapeutic effect with harmful outcomes to patients. Given the rising use of combination therapies, the main objectives of this study were to estimate the degree to which physicians can identify potential drug-drug interactions (PDDIs) correctly and to describe the common source of information used by physicians when they need to check PDDIs. Methods: A cross-sectional survey utilizing a self-administered online questionnaire was conducted among physicians in China. Participants were asked to classify 20 drug pairs as "no interaction," "may be used together with monitoring," "contraindication," and "not sure." We also collected data on the physician's source of information and altitude toward the PDDIs. An ordinary least square regression model was performed to investigate the potential predictors of PDDI knowledge. Results: Eligible questionnaires were obtained from 618 physicians. The respondents classified correctly 6.7 out of 20 drug pairs, or 33.4% of the drug interactions investigated. The number of drug pairs recognized by respondents was ranged from 0 to 16. The percentage of physicians who recognized specific drug pairs ranged from 8.3% for no interactions between conjugated estrogens and raloxifene, to 64.0% for the interaction between dopamine and phenytoin. When the respondents want to check PDDI information, the most commonly used source of information was package inserts (n = 572, 92.6%), followed by the Internet or mobile Apps (n = 424, 68.6%), consultation with clinical pharmacists (n = 384, 62.1%), medical textbooks (n = 374, 60.5%), knowledge base in Chinese (n = 283, 45.8%), and other physicians (n = 366, 59.2%). In the multiple regression analysis, the significant predictors of a higher number of recognized drug pairs were years of practice and altitudes toward PDDIs. Conclusion: In this online survey accessing physician's ability to detect PDDIs, less than half of the drug pairs were recognized, indicating unsatisfactory level of knowledge about the clinically significant drug interactions. Continuing education and accessible electronic database can help physicians detecting PDDIs and improve drug safety.