Assessment of Changes in the Epidemiology and Prognosis of Non-SARS-CoV-2 Respiratory Infections One Year After Recovery From COVID-19

Background Given its pathophysiology and evidence on its long-term effects, coronavirus disease 2019 (COVID-19) may have altered the incidence, types, and severity of other respiratory infections (RIs). Therefore, this study aimed to evaluate the potential impact of COVID-19 on non-SARS-CoV-2 RIs in COVID-19 survivors. Methods This cross-sectional study was conducted using a self-administered, online survey from February 2022 to April 2022 in the United Arab Emirates. Participants included adults diagnosed with COVID-19 before February 2021. Those who did not undergo nasopharyngeal swab tests for contraction of other RIs after recovering from COVID-19 were excluded. Results Of the 384 participants, 24.5% were aged 18–24 years, and 55.5% were women. The mean body mass index (BMI) was 29.6±3.7 kg/m2. Among the participants, 34.4% experienced at least one non-SARS-CoV-2 RI after recovering from COVID-19, of which 25.8% reported that the RI lasted longer than those previously, 27.3% sought physician advice, 31.8% reported increased coughing as a symptom of the non-SARS-CoV-2 RI, and 38.6% reported increased sputum. Based on patient responses, the degree of COVID-19 severity was significantly associated with non-SARS-CoV-2 RIs (p=0.003), and depression was found to be a significant predictor of changes in shortness of breath symptoms (adjusted odds ratio [AOR]=1.29;95% confidence interval [CI], 1.17–1.46). Conclusions The participants of this study reported changes in the duration and severity of non-SARS-CoV-2 RIs after recovering from COVID-19. Further research is needed to confirm these findings, which suggest a need for swift action to protect the public against RIs, particularly seasonal pathogens.

The Abuse and Misuse of Over-the-Counter Medicines During COVID-19

The abuse and misuse of OTC medicines is a common problem in community pharmacies and is expected to escalate during the COVID-19 pandemic. However, there is limited research on the patterns, causes, and consequences of these incidents during the pandemic. This article aims to provide evidence-based insights into the potential impact of COVID-19 on the abuse and misuse of OTC medicines, and suggest strategies for reducing these occurrences for pharmacy practitioners and healthcare managers.

Active Safety Surveillance of Four Types of COVID-19 Vaccines: A National Study from Jordan.

BACKGROUND: Although the Pfizer-BioNTech (BNT162b2), Oxford-AstraZeneca (ChAdOx1 nCoV-19), Sinopharm (BBIBP-CorV), and Sputnik V coronavirus disease 2019 (COVID-19) vaccines have been granted emergency approval in many nations, their safety has never been studied and compared in one community-based study. This study aimed to investigate and compare the incidence, nature, severity, and predictors of adverse events following immunization (AEFIs) with COVID-19 vaccines. METHOD: This was a prospective observational study conducted in Jordan between 1 January and 21 September 2021. A team of pharmacists and nurses (n = 407) collected the local and systemic AEFIs of four COVID-19 vaccines by prospectively contacting participants registered in the national vaccination program platform. A red-flag technology was inserted to classify and track rare and serious AEFIs. RESULTS: This study included 658,428 participants who were vaccinated with 1,032,430 doses; 610,591, 279,606, 140,843, and 1390 participants received the first and second doses of the BNT162b2, BBIBP-CorV, ChAdOx1 nCoV-19, and Sputnik V vaccines, respectively. The overall incidence of AEFIs was 28.8%, and the overall rates of systemic, local, and immediate hypersensitivity AEFIs were 22.2%, 18.8%, and 0.5%, respectively. The highest proportions of immediate hypersensitivity AEFIs and systemic AEFIs were reported after administration of the Sputnik V vaccine and ChAdOx1 nCoV-19 first dose, respectively. The most severe AEFIs were reported after ChAdOx1 nCoV-19 first dose and BNT162b2 second dose. The hospitalization and mortality rates after vaccination were 20 in 10,000 and 1 in 10,000, respectively. Based on red-flag tracking, the top three outcome events were lymphadenopathy (157.9/100,000), anxiety disorders (136.6/100,000), and lower respiratory tract infection (100.9/100,000), with Guillain-Barré syndrome (1.8/100,000), vasculitis (3.0/100,000), and myopericarditis (4.8/100,000) being the least common. CONCLUSION: The incidence rates of local, systemic, and immediate hypersensitivity AEFIs of four COVID-19 vaccines occur frequently. High incidence rates of rare and serious AEFIs were reported in this study. Younger participants, females, those who had previously had COVID-19, and smokers were more likely to encounter AEFIs.

The patterns and determinants of telemedicine use during the COVID-19 crisis: A nationwide study.

BACKGROUND: Although telemedicine services have been adopted on a large scale in the United Arab Emirates (UAE) during the coronavirus disease 2019 (COVID-19) pandemic, a little is known about the public experience. OBJECTIVES: This study aimed to investigate consumers' patterns, nature, and predictors of telemedicine utilization and consumers' attitude toward this technology. METHODS: A quantitative, self-administered questionnaire was developed, validated, and delivered randomly to adults living across the United Arab Emirates (UAE) between January 2021 and January 2022. The questionnaire included questions about categories of telemedicine used, purpose of use, challenges encountered during the use of telemedicine, and reasons for not using telemedicine technology. We adopted a proportionate random sampling technique to recruit participants by 3 ways: social media, phone calls, and face to face. RESULTS: The final dataset included 1584 participants, of which 496 (31.3%) used telemedicine during the coronavirus disease 2019 (COVID-19) pandemic. The most common reasons for not using telemedicine during COVID-19 was having no idea that telemedicine exists (38.3%, 417 of 1088) or having no idea how to use it (33.5%, 365 of 1088). Telemedicine users reported that that telepharmacy (89.7%), teleconsultation (78.2%), and telediagnosis (23.0%) were the most frequently used telemedicine services during the COVID-19 crisis. Of the 496 telemedicine users, 469 (94.6%) reported using telemedicine for seeking a pharmacist advice about medication instructions, 422 (85.1%) for ordering nonprescription drugs, and 401 (80.8%) for seeking a physician advice. Those with high activity on social media were less likely to be associated with telemedicine users versus nonusers. DISCUSSION: Although telepharmacy has been increasingly used by consumers, more attention is needed to fix its limitations and improve patient safety. CONCLUSION: This study shows a positive attitude and a general acceptance of telemedicine services among the UAE population. Some sociodemographic and clinical characteristics were significantly associated with the use of telemedicine during the pandemic.

Assessment of A new Strategy to Prevent Prescribing Errors Involving COVID-19 Patients in Community Pharmacies.

Background: Because COVID-19 patients are vulnerable to prescribing errors (PEs) and adverse drug events, designing and implementing a new approach to prevent prescribing errors (PEs) involving COVID-19 patients has become a priority in pharmacotherapy research. Objectives: To investigate whether using WhatsApp to deliver prescribing error (PE)-related clinical scenarios to community pharmacists could enhance their ability to detect PEs and conduct successful pharmaceutical interventions (PIs). Methods: In this study, 110 community pharmacies were recruited from different regions across Jordan and equally allocated to 2 groups. Over the course of 4 weeks, WhatsApp was used to send PEs-related clinical case scenarios to the active group. The second group was controlled with no clinical scenarios. After completion of the 4-week phase, pharmacists from both groups were asked to document PEs in COVID-19 patients and their interventions using a data-collection form. Results: The incidence of PEs in COVID-19 patients documented in the active group (18.54%) was higher than that reported in the control group (3.09%) (P = .001). Of the 6598 and 968 PIs conducted by participants working in the active and control group pharmacies, 6013 (91.13%) and 651 (67.25%) were accepted, respectively. The proportions of wrong drug (contraindication), wrong drug (unnecessary drug prescribed/no proof of its benefits), and omission of a drug between the active and control groups were 15.30% versus 7.21% (P = .001), 11.85% versus 6.29% (P = .03), and 17.78% versus 10.50% (0.01), respectively. Additionally, the proportions of lethal, serious, and significant errors were 0.74% versus 0.35% (P = .04), 10.52% versus 2.57% (0.002), and 47.88% versus 9.57% (0.001), respectively. Addition of drug therapy interventions (AOR = 0.62; 95% CI, 0.21-0.84) and errors with significant clinical seriousness (AOR = 0.32; 95% CI, 0.16-0.64). Conclusions PEs involving COVID-19 patients in community settings are common and clinically significant. The intervention assessed in this study could be promising for designing a feasible and time-efficient interventional tool to encourage pharmacists' involvement in identifying and correcting PEs in light of COVID-19.

The effectiveness of pharmacist-based coaching in improving breast cancer-related health behaviors: A randomized controlled trial.

Background: Although pharmacists are trusted and easily accessible by the public, their role in changing health behaviours related to breast cancer has been rarely investigated. Objective: To investigate the effectiveness of pharmacist-based coaching in improving BC-related health behaviors and knowledge in females, and to measure the comfort level toward this program. Methods: This was a randomized controlled study carried out in community pharmacies in Egypt. Pharmacies included were asked to enroll 240 females into a trial, then equally allocate them into either active or control arms, and provide 12 weekly face-to-face coaching sessions to those assigned to the active arm. Pharmacists were also asked to survey females and fill a standardized data collection form at baseline, in the middle of coaching, at the end of coaching, and three months after coaching. Results: The proportions of doing high physical activity, practicing healthy diet, and practicing breast self-exam three months after the end of coaching programme across the active and control arms were 52.17% versus 17.09% (p=0.002), 62.60% versus 28.20% (p=0.003), and 81.73% versus 23.07% (p=0.005), respectively. The mean scores of knowledge on BC symptoms, risk factors, and detection methods three months after coaching across the active and control arms were 4.10±2.47 versus 2.72±1.19 (p=0.038), 4.25±2.20 versus 3.28±1.48 (p=0.020), and .34±1.80 versus 1.72±0.68 (p=0.001) respectively. While most of the females participated in the active arm were comfortable toward the financial 94.78% and social 88.69% sides of the program, more than one-third (34.78%) of the participants were uncomfortable toward the competency of coaches. Conclusion: Despite the need for some modifications, BC-related health behaviors and knowledge can be improved through pharmacist-based health coaching.

Pharmacists-physicians collaborative intervention to reduce vaccine hesitancy and resistance: A randomized controlled trial.

PURPOSE: Given their negative influence on community health, vaccine hesitancy and resistance are emerging challenges that require healthcare intervention. Therefore, this study aimed to assess the impact of physician-pharmacist collaborative health coaching on rates of hesitancy and resistance for a COVID-19 vaccine. METHODS: After an initial assessment of rates of hesitancy and resistance for a COVID-19 vaccine was conducted, hesitant and resistant participants were approached, recruited, and randomized into an active and control group. Pharmacists-physicians collaborative coaching intervention was delivered to active group subjects over two months through Facebook live sessions. The outcome measures were assessed in both groups before coaching, directly after coaching, and a month after coaching. RESULTS: The proportions of hesitancy and resistance for a COVID-19 vaccine among subjects in the active group were significantly reduced from 64.3% and 35.7% before coaching to 20.1% and 7.8% directly after coaching, respectively. These proportions were further reduced to 11.1% and 3.3% a month after coaching, respectively. Furthermore, the mean scores for knowledge on, and attitude towards COVID-19 vaccine were significantly increased from 4.6 ± 1.8 and 4.1 ± 1.7 before coaching to 7.5 ± 3.1 and 8.9 ± 3.8 directly after coaching, respectively. However, the change in mean score of beliefs about COVID-19 vaccines among active group subjects was not significant. CONCLUSION: High rates of hesitancy and resistance for a COVID-19 vaccine were found in Jordan. These rates can be significantly reduced through online pharmacists-physicians collaborative coaching, which can also improve knowledge of and attitude towards COVID-19 vaccines.

Virtual Coaching Delivered by Pharmacists to Prevent COVID-19 Transmission.

Background: While the role of pharmacists in the current pandemic control has been recognized worldwide, their coaching efforts to improve public's behaviors that could prevent COVID-19 transmission has been rarely investigated. Objectives: To assess whether pharmacist-based virtual health coaching sessions could increase the proportion of people who practised healthy social behaviors, to test whether this model can increase the public acceptance of COVID-19 vaccines, and to measure whether these behaviors could actually prevent contracting COVID-19. Method: In this randomized controlled trial, adults who matched specific criteria were randomly allocated into 2 arms. The active arm received 12 pharmacist-based virtual coaching sessions delivered via Zoom® over a month. Participants allocated to the control arm received no coaching. At the end of the last coaching session, both groups were asked to complete a structured questionnaire for outcome assessment. Participants in the active group were followed up to 2 weeks after the end of the last coaching session to check if they contracted COVID-19 or not. The SPSS software version 26.0 (IBM Corp., Chicago, IL) was used for statistical analysis. Results: Of the 300 participants who gave consent for participation, 295 completed the study (147 from the active arm and 148 from the control arm). The proportion of those using face masks, avoiding crowds, and willing to be isolated if infected in the active arm was increased from 51.70%, 53.74%, and 59.86% at baseline to 91.83%, 80.27%, and 96.59% at the end of coaching, respectively (all with P < .05). In addition, the proportion of behaviors, such as disinfecting surfaces, not touching the T-zone, and avoid sharing personal belongings with colleagues at work was increased from 36.05%, 27.89%, and 46.93% at baseline to 63.94%, 52.38%, and 87.75% at the end of coaching, respectively (all with P < .05). Avoid touching the T-zone (OR = 0.43; 95% CI, 0.24-0.89) and using disposable tissues (OR = 0.30; 95% CI, 0.18-0.77), each versus using face masks appropriately were more likely to get COVID-19. Conclusion: Pharmacist-based virtual health coaching could be a potential strategy to increase the proportion of behaviors that could curtail the spread of COVID-19.

An emergency plan for management of COVID-19 patients in rural areas.

AIMS OF THE STUDY: To describe the experience of six hospitals in the management of COVID-19 patients in rural areas through an assessment of proportions, types and clinical outcomes of remote clinical interventions. METHODS: This was a prospective observational study conducted in six Egyptian hospitals over a period five months. An emergency response was implemented in each hospital in order to connect clinical pharmacists with COVID-19 patients living in rural areas. Pharmacists used phone calls and social media applications, such as WhatsApp® to conduct two types of interventions; (a) Proactive interventions and (b) outcome-based interventions. IBM SPSS V26 was used for data analysis. RESULTS: Of the 418 patients included, 351 (83.97%) recovered, 60 (14.35%) were hospitalised and 7 (1.67%) were deceased. Medication orders per patient, high-alert medications per patient and prescribing errors per patient were 5.82, 1.45 and 0.74, respectively. Telepharmacy teams conducted 3318 phone calls, 2116 WhatsApp® chats and 1128 interventions, of which 812 (71.92%) were process-based and 316 (27.98%) were outcome-based. Among these interventions, four significant determinants of improvement in clinical outcomes were found: substitution of a prescribed drug (Adjusted odds ratio [AOR] = 4.03; 95% confidence interval [CI], 2.54-5.87), adding a drug to the prescription (AOR = 3.15; 95% CI, 1.87-4.76), advice the patient to stop smoking (AOR = 3.53; 95% CI, 1.98-5.17) and cessation of drug therapy (AOR = 3.11; 95% CI, 1.25-4.55). The most common medications involved in drug-related interventions were Hydroxychloroquine, Azithromycin and Paracetamol. CONCLUSION: Our findings demonstrate significant impact of the remote pharmacist interventions on both medicines use and clinical outcomes of COVID-19 patients in rural areas. Pharmacists in developing countries should be supported to implement remote clinical services to provide patients in rural places with optimal care.

The evolving role of community pharmacists during COVID-19 in the UAE; assessing preparedness and knowledge.

OBJECTIVES: To investigate community pharmacists' knowledge about COVID-19 and their preparedness for the pandemic. METHODS: This cross-sectional online survey was conducted (in community pharmacies in the United Arab Emirates) over 3 weeks (24 May 2020 to 14 June 2020). A proportionate random sample of 491 participants was invited to take part. The SPSS version 26 was used for data management and analysis. KEY FINDINGS: The majority of participants (n = 400) had good knowledge about COVID-19 and high level of preparedness for the pandemic control. Most pharmacists agreed (212, 53.0%) or strongly agreed (91, 22.8%) that they have a major role in the management of the ongoing crisis. Most participants had good awareness about the most common methods of COVID-19 transmission (359, 89.7%) and symptoms encountered (368, 92.0%). However, approximately a quarter of participants (103, 25.7%) incorrectly thought COVID-19 was caused by a DNA virus. Participants who had 5-10 and >10 years of experience were 3.95 (P = 0.03) and 1.59 (P = 0.01) times, respectively, were more likely to have good knowledge compared to participants with less than 2 years of experience. Those with good knowledge were more likely to have a specific area for customers with suspected COVID-19 symptoms compared to those with poor knowledge (P = 0.031). CONCLUSION: This study indicates that years of experience and good knowledge on COVID-19 were significant determinants of pharmacists' preparedness for the pandemic control.

Virtual pharmacist interventions on abuse of over-the-counter medications during COVID-19 versus traditional pharmacist interventions.

OBJECTIVES: This study aimed to investigate the frequency, nature, and clinical significance of pharmacist interventions on over-the-counter (OTC) medicines with abuse potential across community pharmacies with and without virtual care. METHODS: In this prospective observational study, a trained research team observed the dispensary teams of 12 community pharmacies in the United Arab Emirates (UAE), 6 of which were operating virtual pharmacy care. A standardized data collection form was used to include information about dispensing of OTC medicines and pharmacist interventions on those with abuse/misuse potential. The clinical significance of the interventions was evaluated by a multidisciplinary committee. RESULTS: The frequency of pharmacist interventions on OTC medicines with abuse potential across pharmacies with and without virtual services was 83.2% versus 91.0%, respectively, whereas the frequency of pharmacist interventions on OTC medicines with misuse potential across pharmacies with and without virtual services was 79.8% versus 41.2%, respectively. The proportions of clinically significant interventions across pharmacies with and without virtual services were 19.7% versus 10.5%, respectively. Cough medicines were dispensed significantly more across pharmacies with virtual care than across pharmacies without virtual care (25.6% vs. 9.7%, respectively; P = 0.04). Asking the patient to seek the advice of an addiction specialist (adjusted odds ratio = 4.11; P = 0.001) versus refusing to sell the drug was more likely to be associated with pharmacies with virtual services than with pharmacies operating traditional pharmacy services. CONCLUSION: Virtual pharmaceutical care is a potential approach to reduce the abuse/misuse of OTC medicines but needs some improvements regarding detection of these cases. The UAE is the first country in the region to implement and regulate virtual pharmacy practice.

Evaluation of Telepharmacy Services in Light of COVID-19.

Background: Telepharmacy services are expected to have an important role in increasing access of patients to pharmaceutical care and reducing potential dispensing errors in community pharmacies. Objective: To assess the predictors for effective telepharmacy services on increasing access of patients to care and reducing dispensing errors in community pharmacies. Method: This is a prospective study carried out for 4 months in 52 community pharmacies across the United Arab Emirates (UAE) using disguised direct observation. Multivariable logistic regression was used as a tool to predict factors associated with effective telepharmacy services in improving dispensing safety and increasing access of patients to pharmaceutical care. Data were entered and analyzed using the Statistical Package for Social Science (SPSS) software version 26. Results: Pharmacist recommendations related to COVID-19 at pharmacies with telepharmacy (n = 63,714) versus those without remote services (n = 15,539) were significantly more likely to be (1) contact the nearest testing center (adjusted odds ratio [AOR] = 7.93), (2) maintain home quarantine (AOR = 5.64), and (3) take paracetamol for fever (AOR = 3.53), all were significant results (p < 0.05). Rates of medication dispensing errors (MDEs) and its subcategories, prescription-related errors, and pharmacist counseling errors across pharmacies with telepharmacy versus those without remote services were (15.81% vs. 19.43%, p < 0.05), (5.38% vs. 10.08%, p < 0.05), and (10.42% vs. 9.35%, p > 0.05), respectively. However, pharmacies with telepharmacy were more likely to include wrong patient errors (AOR = 5.38, p < 0.05). Conclusions: Telepharmacy can be used as a tool to reduce the burden on the health care system and improve drug dispensing safety in community pharmacies.