Development of an engineered extracellular vesicles-based vaccine platform for combined delivery of mRNA and protein to induce functional immunity (preprint)

mRNA incorporated in lipid nanoparticles (LNPs) became a new class of vaccine modality for induction of immunity against COVID-19 and ushered in a new era in vaccine development. Here, we report a novel, easy-to-execute, and cost effective engineered extracellular vesicles (EVs)-based combined mRNA and protein vaccine platform (EVX-M+P vaccine) and explore its utility in proof-of-concept immunity studies in the settings of cancer and infectious disease. As a first example, we engineered EVs to contain ovalbumin mRNA and protein (EVOvaM+P) to serve as cancer vaccine against ovalbumin-expressing melanoma tumors. EVOvaM+P administration to mice with established melanoma tumors resulted in tumor regression associated with effective humoral and adaptive immune responses. As a second example, we generated engineered EVs, natural nanoparticle carriers shed by all cells, that contain mRNA and protein Spike (S) protein to serve as a combined mRNA and protein vaccine (EVSpikeM+P vaccine) against SARS-CoV-2 infection. EVSpikeM+P vaccine administration in mice and baboons elicited robust production of neutralizing IgG antibodies against RBD (receptor binding domain) of S protein and S protein specific T cell responses. Our proof-of-concept study describes a new platform with an ability for rapid development of combination mRNA and protein vaccines employing EVs for deployment against cancer and other diseases.

Quality of Work and Job Satisfaction Among Health Workers: Moderating Effect of Corona Fear

This paper attempts to understand the impacts and fallouts of COVID- 19 on health care workers. The effect of social intelligence, emotional stability and optimistic approach are studied on the quality of work of healthcare workers along with identifying how it influenced their job satisfaction. The moderating effect of corona fear is analyzed on the quality of work and job satisfaction. Empirical data derived through face-to-face interactions with 493 health care professionals were used for testing the conceptual framework derived from recent literature. The results indicate that social intelligence, emotional stability and optimism contribute towards quality of life of health care workers. Quality of work shows significant relation with job satisfaction. Corona fear shows the moderation effect, negatively affecting the quality of work.

Intravenous heterologous prime-boost vaccination activates innate and adaptive immunity to promote tumor regression.

Therapeutic neoantigen cancer vaccines have limited clinical efficacy to date. Here, we identify a heterologous prime-boost vaccination strategy using a self-assembling peptide nanoparticle TLR-7/8 agonist (SNP) vaccine prime and a chimp adenovirus (ChAdOx1) vaccine boost that elicits potent CD8 T cells and tumor regression. ChAdOx1 administered intravenously (i.v.) had 4-fold higher antigen-specific CD8 T cell responses than mice boosted by the intramuscular (i.m.) route. In the therapeutic MC38 tumor model, i.v. heterologous prime-boost vaccination enhances regression compared with ChAdOx1 alone. Remarkably, i.v. boosting with a ChAdOx1 vector encoding an irrelevant antigen also mediates tumor regression, which is dependent on type I IFN signaling. Single-cell RNA sequencing of the tumor myeloid compartment shows that i.v. ChAdOx1 reduces the frequency of immunosuppressive Chil3 monocytes and activates cross-presenting type 1 conventional dendritic cells (cDC1s). The dual effect of i.v. ChAdOx1 vaccination enhancing CD8 T cells and modulating the TME represents a translatable paradigm for enhancing anti-tumor immunity in humans.

Assessment of risk factors and preventive measure compliance against COVID-19 among healthcare workers at tertiary care hospital: a retrospective study.

Introduction: SARS-CoV-2 has created a significant challenge to healthcare systems, since the disease has spread rapidly, outweighing hospital capacity and exposing Health Care Workers (HCWs) to the risk of infection. The main objective of this study shows the HCW's self-reported use of Personal Protective Equipment (PPE), symptoms, and exposure to revealed and suspected people during the pandemic, as well as the implementation of infection prevention and control (IPC) guidelines that effectively limit the spread of the infection among healthcare personnel. Method: A single-center retrospective cohort study has been done at a tertiary care hospital. There were 3,651 hospital employees of these 1,890 HCWs and 1,761 nonclinical staff among those who were proven or suspected COVID-19 cases and had symptoms were included. The data was gathered using a standardized self-assessment questionnaire. Information about quarantine protocol and line listing was collected through telephonic conversations. Result: The majority of the participants were males (66%). The average age was 32.1±7.62. Out of 432 HCWs, 32.9% with positive SARS-CoV-2 PCR findings were nurses, 19.2% were doctors, and 47.9% were non-clinical employees from the hospital's inpatient and outpatient departments. 31.5% had a higher-risk exposure, 64.1% had a moderate-risk exposure, and 4.4% of practitioners with COVID-19 had a lower-risk exposure. A statistically significant association was found between COVID-19 disease and adherence to PPE and risk exposure. Conclusion: This study represents the healthcare workers' experience with COVID-19 patients in the early stages of the pandemic and emphasizes the measures required to overcome the problems, however, this study highlights that HCWs are being progressively infected with COVID-19 as a result of inadequate/ inappropriate PPE wear.

Neurological manifestation in COVID-19 disease with neuroimaging studies.

OBJECTIVE: Magnetic resonance imaging (MRI) of the brain or spine examines the findings as well as the time interval between the onset of symptoms and other adverse effects in coronavirus disease that first appeared in 2019 (COVID-19) patients. The goal of this study is to look at studies that use neuroimaging to look at neurological and neuroradiological symptoms in COVID-19 patients. METHODS: We try to put together all of the research on how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes neurological symptoms and cognitive-behavioral changes and give a full picture. RESULTS: We have categorized neuroimaging findings into subtitles such as: headache and dizziness; cerebrovascular complications after stroke; Intracerebral Hemorrhage (ICH); Cerebral Microbleeds (CMBs); encephalopathy; meningitis; encephalitis and myelitis; altered mental status (AMS) and delirium; seizure; neuropsychiatric symptoms; Guillain-Barre Syndrome (GBS) and its variants; smell and taste disorders; peripheral neuropathy; Mild Cognitive Impairment (MCI); and myopathy and myositis. CONCLUSION: In this review study, we talked about some MRI findings that show how COVID-19 affects the nervous system based on what we found.

Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom.

OBJECTIVES: To estimate the risk of Long COVID by socioeconomic deprivation and to further examine the inequality by sex and occupation. DESIGN: We conducted a retrospective population-based cohort study using data from the ONS COVID-19 Infection Survey between 26 April 2020 and 31 January 2022. This is the largest nationally representative survey of COVID-19 in the UK with longitudinal data on occupation, COVID-19 exposure and Long COVID. SETTING: Community-based survey in the UK. PARTICIPANTS: A total of 201,799 participants aged 16 to 64 years and with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. MAIN OUTCOME MEASURES: The risk of Long COVID at least 4 weeks after SARS-CoV-2 infection by index of multiple deprivation (IMD) and the modifying effects of socioeconomic deprivation by sex and occupation. RESULTS: Nearly 10% (n = 19,315) of participants reported having Long COVID. Multivariable logistic regression models, adjusted for a range of variables (demographic, co-morbidity and time), showed that participants in the most deprived decile had a higher risk of Long COVID (11.4% vs. 8.2%; adjusted odds ratio (aOR): 1.46; 95% confidence interval (CI): 1.34, 1.59) compared to the least deprived decile. Significantly higher inequalities (most vs. least deprived decile) in Long COVID existed in healthcare and patient-facing roles (aOR: 1.76; 95% CI: 1.27, 2.44), in the education sector (aOR: 1.68; 95% CI: 1.31, 2.16) and in women (aOR: 1.56; 95% CI: 1.40, 1.73) than men (aOR: 1.32; 95% CI: 1.15, 1.51). CONCLUSIONS: This study provides insights into the heterogeneous degree of inequality in Long COVID by deprivation, sex and occupation. These findings will help inform public health policies and interventions in incorporating a social justice and health inequality lens.

Menstrual disturbances following COVID-19 vaccination: A probable puzzle about the role of endocrine and immune pathways.

Menstruation is a monthly shedding of the uterine wall, presented by menstrual bleeding in women of reproductive age. Menstruation is regulated by fluctuation of estrogen and progesterone, as well as other endocrine and immune pathways. Many women experienced menstrual disturbances after vaccination against the novel coronavirus in the last two years. Vaccine-induced menstrual disturbances have led to discomfort and concern among reproductive-age women, such that some decided not to receive the subsequent doses of the vaccine. Although many vaccinated women report these menstrual disturbances, the mechanism is still poorly understood. This review article discusses the endocrine and immune changes following COVID-19 vaccination and the possible mechanisms of vaccine-related menstrual disturbances.

Patient Perceptions of Telehealth for Pediatric Type 1 Diabetes During the COVID-19 Pandemic: A Follow-up Study.

OBJECTIVES: There was rapid uptake of pediatric diabetes telehealth at the onset of the COVID-19 pandemic and initial studies demonstrated good usability and satisfaction. As exposure to telehealth continued to increase during the pandemic, we aimed to determine changes in telehealth usability and changes in future preferences for telehealth care. METHODS: A telehealth questionnaire was administered early in the pandemic and again more than 1 year later. Survey data were linked with a clinical data registry. A multivariable proportional odds logistic mixed-effects model was used to assess the association between exposure to telehealth and outcome of future preference for telehealth. Multivariable linear mixed-effects models were used to examine associations between exposure to early and later pandemic periods and the outcome of usability scores. RESULTS: Survey response rate was 40%, with 87 early and 168 later period participants. Virtual visits increased from 46% to 92% of all telehealth visits. Virtual visits improved in "ease of use" (p=0.0013) and "satisfaction" (p=0.045); there were no improvements in telephone visits. The odds of indicating higher preference for more future telehealth visits was 5.1-fold higher in the later pandemic group (p=0.0298). Eighty percent of participants would like their future care to include telehealth visits. CONCLUSIONS: At our tertiary diabetes centre, families' desire for future telehealth care has increased during this 1-year period of additional telehealth exposure, and virtual care has now become the preferred option. This study provides important family perspectives that can help guide development of future diabetes clinical care.

Side effects after COVID-19 vaccination: a comparison between the most common available vaccines in Iran

Background and Objectives: Since the coronavirus disease 2019 (COVID-19) pandemic began, several vaccines have been manufactured to subside it. This study aimed to determine the prevalence of side effects after injecting common COVID-19 vaccines available in Iran. Materials and Methods: This cross-sectional study was accomplished on Shahid Beheshti University of Medical Sciences (Tehran, Iran) employees during January and September 2022. Eligible participants were selected based on the simple random method and interviewed about side effects after injecting COVID-19 vaccine. Results: The mean age of 656 participants was 38.03 ± 9.53 years, and 453 (69.1%) were female. The prevalence of post-vaccination side effects was higher after receiving the first dose (53.2%) than the second (35.9%) and third (49.4%) doses. Across all three vaccine doses, the overall proportion of side effects was higher following AstraZeneca than the others. The most common side effect after the first dose of the vaccine was myalgia (41.9%), followed by fever (36.6%), chills (31.6%), local reactions (27.0%), headache (25.5%), and sweating (21.6%). People experienced mainly myalgia (23.3%) and fever (20.3%) after injecting the second dose of the vaccine. Additionally, the participants had myalgia (37.2%), fever (30.8%), chills (29.2%), local reactions (26.0%), and headache (24.4%) after the third dose of the vaccine. Conclusion: AstraZeneca had a higher proportion of post-vaccination adverse effects than Sputnik V, Pastocovac, and Sinopharm. The most common side effects were flu-like syndrome and local reactions at the injection site. Furthermore, people rarely experienced life-threatening side effects. Thus, the available COVID-19 vaccines in Iran are safe. [ FROM AUTHOR] Copyright of Iranian Journal of Microbiology is the property of Tehran University of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Perception and experiences regarding COVID-19 pandemic among urban young adults in Bangladesh: a mixed-method study.

AIM: This study aimed at exploring the perception and experiences with regard to the COVID-19 pandemic among Bangladeshi urban young adults. SUBJECT AND METHODS: Using a mixed-method approach, an online cross-sectional survey among 315 participants and in-depth interviews (IDI) among 20 young adults were conducted from May 1 to May 25, 2020. Descriptive statistics and chi-square tests were performed for quantitative data, along with the thematic analysis for qualitative data. RESULTS: The mean (± SD) age of the participants was 26.54 (± 3.05), and the majority were male (54.9%). About 81.6% of the participants reported COVID-19 as a viral disease, transmitted through droplets of sneezing and coughing, and close contact with another person (90.8%). Nearly 40% of participants reported news channels as a reliable source of information for COVID-19. Participants who were male were less likely to be aware than females in terms of mode of transmission of COVID-19 such as going outside of the home (82.7% male vs 90.8% female; p < 0.05). Male participants thought they were perfectly healthy and more reluctant to agree with maintaining social distance compared to female participants (72.8% male vs 90.1% female; p < 0.001). Participant's satisfaction level with services provided by the government was also significantly different and higher among females than male participants (39.9% male vs 53.5% female; p < 0.05). The majority of the participants reported suffering due to financial uncertainty, psychological distress, and inadequate health facilities. Dissatisfaction was reported with the existing health services as creating several misconceptions, lacking testing facilities, and debasement by the health professionals. CONCLUSION: This study found a better perception regarding COVID-19 among the young adults, but they had poor preventive practices. Health education intervention with the rapid response should be implemented targeting this vulnerable group to improve their preventive practices.

Metaverse and Medical Diagnosis: A Blockchain-Based Digital Twinning Approach Based on MobileNetV2 Algorithm for Cervical Vertebral Maturation.

Advanced mathematical and deep learning (DL) algorithms have recently played a crucial role in diagnosing medical parameters and diseases. One of these areas that need to be more focused on is dentistry. This is why creating digital twins of dental issues in the metaverse is a practical and effective technique to benefit from the immersive characteristics of this technology and adapt the real world of dentistry to the virtual world. These technologies can create virtual facilities and environments for patients, physicians, and researchers to access a variety of medical services. Experiencing an immersive interaction between doctors and patients can be another considerable advantage of these technologies, which can dramatically improve the efficiency of the healthcare system. In addition, offering these amenities through a blockchain system enhances reliability, safety, openness, and the ability to trace data exchange. It also brings about cost savings through improved efficiencies. In this paper, a digital twin of cervical vertebral maturation (CVM), which is a critical factor in a wide range of dental surgery, within a blockchain-based metaverse platform is designed and implemented. A DL method has been used to create an automated diagnosis process for the upcoming CVM images in the proposed platform. This method includes MobileNetV2, a mobile architecture that improves the performance of mobile models in multiple tasks and benchmarks. The proposed technique of digital twinning is simple, fast, and suitable for physicians and medical specialists, as well as for adapting to the Internet of Medical Things (IoMT) due to its low latency and computing costs. One of the important contributions of the current study is to use of DL-based computer vision as a real-time measurement method so that the proposed digital twin does not require additional sensors. Furthermore, a comprehensive conceptual framework for creating digital twins of CVM based on MobileNetV2 within a blockchain ecosystem has been designed and implemented, showing the applicability and suitability of the introduced approach. The high performance of the proposed model on a collected small dataset demonstrates that low-cost deep learning can be used for diagnosis, anomaly detection, better design, and many more applications of the upcoming digital representations. In addition, this study shows how digital twins can be performed and developed for dental issues with the lowest hardware infrastructures, reducing the costs of diagnosis and treatment for patients.

"There's nothing like a good crisis for innovation": a qualitative study of family physicians' experiences with virtual care during the COVID-19 pandemic.

BACKGROUND: Prior to the pandemic, Canada lagged behind other Organisation for Economic Cooperation and Development countries in the uptake of virtual care. The onset of COVID-19, however, resulted in a near-universal shift to virtual primary care to minimise exposure risks. As jurisdictions enter a pandemic recovery phase, the balance between virtual and in-person visits is reverting, though it is unlikely to return to pre-pandemic levels. Our objective was to explore Canadian family physicians' perspectives on the rapid move to virtual care during the COVID-19 pandemic, to inform both future pandemic planning for primary care and the optimal integration of virtual care into the broader primary care context beyond the pandemic. METHODS: We conducted semi-structured interviews with 68 family physicians from four regions in Canada between October 2020 and June 2021. We used a purposeful, maximum variation sampling approach, continuing recruitment in each region until we reached saturation. Interviews with family physicians explored their roles and experiences during the pandemic, and the facilitators and barriers they encountered in continuing to support their patients through the pandemic. Interviews were audio-recorded, transcribed, and thematically analysed for recurrent themes. RESULTS: We identified three prominent themes throughout participants' reflections on implementing virtual care: implementation and evolution of virtual modalities during the pandemic; facilitators and barriers to implementing virtual care; and virtual care in the future. While some family physicians had prior experience conducting remote assessments, most had to implement and adapt to virtual care abruptly as provinces limited in-person visits to essential and urgent care. As the pandemic progressed, initial forays into video-based consultations were frequently replaced by phone-based visits, while physicians also rebalanced the ratio of virtual to in-person visits. Medical record systems with integrated capacity for virtual visits, billing codes, supportive clinic teams, and longitudinal relationships with patients were facilitators in this rapid transition for family physicians, while the absence of these factors often posed barriers. CONCLUSION: Despite varied experiences and preferences related to virtual primary care, physicians felt that virtual visits should continue to be available beyond the pandemic but require clearer regulation and guidelines for its appropriate future use.

Potential antiviral activities of chrysin against hepatitis B virus.

BACKGROUND: Interferon and nucleos(t)ide analogues are current therapeutic treatments for chronic Hepatitis B virus (HBV) infection with the limitations of a functional cure. Chrysin (5, 7-dihydroxyflavone) is a natural flavonoid, known for its antiviral and hepatoprotective activities. However, its anti-HBV activity is unexplored. METHODS: In the present study, the anti-hepatitis B activity of chrysin was investigated using the in vitro experimental cell culture model, HepG2 cells. In silico studies were performed where chrysin and lamivudine (used here as a positive control) were docked with high mobility group box 1 protein (HMGB1). For the in vitro studies, wild type HBV genome construct (pHBV 1.3X) was transiently transfected in HepG2. In culture supernatant samples, HBV surface antigen (HBsAg) and Hepatitis B e antigen (HBeAg) were measured by enzyme-linked immunosorbent assay (ELISA). Secreted HBV DNA and intracellular covalently closed circular DNA (cccDNA) were measured by SYBR green real-time PCR. The 3D crystal structure of HMGB1 (1AAB) protein was developed and docked with the chrysin and lamivudine. In silico drug-likeness, Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) properties of finest ligands were performed by using SwissADME and admetSAR web servers. RESULTS: Data showed that chrysin significantly decreases HBeAg, HBsAg secretion, supernatant HBV DNA and cccDNA, in a dose dependent manner. The docking studies demonstrated HMGB1 as an important target for chrysin as compared to lamivudine. Chrysin revealed high binding affinity and formed a firm kissing complex with HMGB1 (∆G = - 5.7 kcal/mol), as compared to lamivudine (∆G = - 4.3 kcal/mol), which might be responsible for its antiviral activity. CONCLUSIONS: The outcome of our study establishes chrysin as a new antiviral against HBV infection. However, using chrysin to treat chronic HBV disease needs further endorsement and optimization by in vivo studies in animal models.

Depression, anxiety, stress, and PTSD symptoms during the first and second COVID-19 waves: a comparison of elderly, middle-aged, and young people in Iran.

BACKGROUND: A widespread outbreak of epidemics like Covid-19 is a lethal threat to physical and mental health. Recent studies reported a higher prevalence of mental problems in younger individuals, contrary to the general assumption expected in older people. Therefore, it is necessary to compare anxiety, stress, depression and PTSD (post-traumatic stress disorder) symptoms in different age groups during the Covid-19 crisis. METHODS: A cross-sectional online survey was performed (from Dec. 2020 to Feb. 2021) on three age groups of elderly, middle-aged and young people. Data were collected by DASS-21 (Depression, Anxiety and Stress Scale) and IES-R (Impact of Event Revised Scale) and analyzed using ANOVA, χ2 test and logistic regression analysis. RESULTS: Overall, 601 participants completed the questionnaires, including 23.3% of the elderly (≥ 60 years), 29.5% of the young (18-29 years) and 47.3% of the middle-aged (30-59 years) with 71.4% of women. The logistic regression analysis revealed that the risk of PTSD in young people was higher than in the elderly (ß = 2.242, CI: 1.03-4.87, P = 0.041), while the risk of depression, anxiety and stress did not differ significantly among the three age groups. Female gender, occupation, lower economic status, solitary life, and chronic disease were risk factors for psychological symptoms during the Covid-19 pandemic. CONCLUSION: Findings on the higher odds ratio of PTSD symptoms in younger individuals have interestingly potential implications to meet the needs of mental health services during Covid-19.

Coincidence of Candida Endophthalmitis, and Aspergillus and Pneumocystis jirovecii Pneumonia in a COVID-19 Patient: Case Report.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) is associated with immune system dysfunction and makes patients vulnerable to opportunistic infections. This report presents a patient with a history of COVID-19, suffering from opportunistic infections. CASE DESCRIPTION: We reported a 64-year-old man complaining of progressive visual loss in his left eye, who had previously been hospitalized for three weeks due to COVID-19. In the ophthalmologic assessment, large foci of dense subretinal and intraretinal infiltrations involving the macula were observed (compatible with endogenous fungal endophthalmitis). Real-time PCR result of intraocular fluid was positive for Candida spp. During subsequent hospitalization, the patient also suffered from fever and productive coughs (manifestations of pneumonia caused by Aspergillus fumigatus and Pneumocystis jirovecii). In response to antibiotic therapy, the fever and coughs subsided, and the ocular examination revealed a dramatic decrease in the size of retinal infiltrations. CONCLUSIONS: In patients with severe COVID-19, long-term ICU admission and immunosuppressive drugs lead to immune system dysfunction and make the patient more susceptible to opportunistic infections. Consequently, fungal pathogens such as Aspergillus, Pneumocystis jirovecii, and Candida spp. may cause infection in different body organs. Thus, clinicians should be alert and have clinical suspicion to diagnose accurately and manage patients accordingly.

Perinatal anxiety and depression amidst the COVID-19 pandemic in Dubai, United Arab Emirates.

BACKGROUND: Pregnancy and COVID-19 increase the risk of mental health conditions. The stress of pregnancy, childbirth, and uncertainty about the global pandemic has negatively affected the obstetrical population. OBJECTIVE: This study aimed to investigate the effects of the COVID-19 pandemic in terms of anxiety and depression in antenatal and postnatal mothers. STUDY DESIGN: This was a cross-sectional observational study conducted at Dubai Hospital, United Arab Emirates, evaluating depression and anxiety (point prevalence) with the Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder-7 scale. RESULTS: Of the 784 women approached, 438 consented to participate in our survey; 43.6% of the women screened positive for depression by the Edinburgh Postnatal Depression Scale (with a cutoff score ≥10), and 42% had a Generalized Anxiety Disorder-7 score of ≥5, indicating anxiety. Both anxiety and depression were found in 32.4% of the women; 7.5% had considered self-harm in the last 14 days, and 15% had COVID-19 during the current pregnancy. The 11.87% who had COVID-19, but before the pregnancy, had higher mean Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder-7 scores than others. Surprisingly, the women who had COVID-19 during pregnancy had statistically significantly (P<.05) lower Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder-7 scores. University graduates had significantly (P<.05) higher Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder-7 scores. Women of Middle Eastern ethnicity (50% positive for depression and 48.5% for anxiety) were more prone to depression and anxiety compared with South Asian (29% positive for depression and 25.2% for anxiety) and African women (39.6% positive for depression and 43.4% for anxiety). There was no statistically significant difference between antenatal and postnatal patients in the prevalence of anxiety or depression. CONCLUSION: The COVID-19 pandemic is associated with an increase in depression and anxiety in pregnant and postnatal women. Women who were more concerned about the effects of the pandemic had higher mean Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder-7 scores. Additional psychological support for women is necessary during the pandemic for maternal perinatal well-being.

Acceptance of Smart Technologies in Blended Learning: Perspectives of Chinese Medical Students.

Smart technologies are essential in improving higher education teaching and learning. The present study explores the factors that influence students' behavioural intentions to adopt and use smart technologies in blended learning. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) model, a survey of 305 students was conducted to collect data. A structural equation model was applied to analyse the data. The findings show that adopting smart technologies requires appropriate social context and organizational support. Moreover, the data indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and habit are vital in determining students' behavioural intention to use smart technologies. However, facilitating conditions and price value were found to have no significant impact on the students' behavioural intention to use smart technologies. The study contributes to a better understanding of the nexus of blended learning and smart technologies, thus improving students' experiences in blended learning settings.

Family physicians' responses to personal protective equipment shortages in four regions in Canada: a qualitative study.

BACKGROUND: Despite well-documented increased demands and shortages of personal protective equipment (PPE) during previous disease outbreaks, health systems in Canada were poorly prepared to meet the need for PPE during the COVID-19 pandemic. In the primary care sector, PPE shortages impacted the delivery of health services and contributed to increased workload, fear, and anxiety among primary care providers. This study examines family physicians' (FPs) response to PPE shortages during the first year of the COVID-19 pandemic to inform future pandemic planning. METHODS: As part of a multiple case study, we conducted semi-structured qualitative interviews with FPs across four regions in Canada. During the interviews, FPs were asked to describe the pandemic-related roles they performed over different stages of the pandemic, facilitators and barriers they experienced in performing these roles, and potential roles they could have filled. Interviews were transcribed and a thematic analysis approach was employed to identify recurring themes. For the current study, we examined themes related to PPE. RESULTS: A total of 68 FPs were interviewed across the four regions. Four overarching themes were identified: 1) factors associated with good PPE access, 2) managing PPE shortages, 3) impact of PPE shortages on practice and providers, and 4) symbolism of PPE in primary care. There was a wide discrepancy in access to PPE both within and across regions, and integration with hospital or regional health authorities often resulted in better access than community-based practices. When PPE was limited, FPs described rationing and reusing these resources in an effort to conserve, which often resulted in anxiety and personal safety concerns. Many FPs expressed that PPE shortages had come to symbolize neglect and a lack of concern for the primary care sector in the pandemic response. CONCLUSIONS: During the COVID-19 pandemic response, hospital-centric plans and a lack of prioritization for primary care led to shortages of PPE for family physicians. This study highlights the need to consider primary care in PPE conservation and allocation strategies and to examine the influence of the underlying organization of primary care on PPE distribution during the pandemic.

A cross-sectional investigation of the impact of COVID-19 on community pharmacy.

Background: COVID-19 caused Australian government and state legislative/regulatory changes which impacted directly on aspects of professional community pharmacy. Objectives: To examine the views and experiences of community pharmacists regarding the impact of COVID-19 on professional pharmacy services in Western Australian community pharmacies. Methods: A Qualtrics questionnaire link was emailed to all 668 community pharmacies in Western Australia in March 2021. Data were collected on the impact of COVID-19 on professional pharmacy services (telehealth, digital image prescriptions, continued dispensing and emergency supply, home delivery services, medicine and medical resource substitutions), the pharmacy environment (work hours) and professional pharmacy structure (staffing and any measures implemented). Questions included 5-point Likert responses as well as yes/no or option responses. Descriptive statistics were used to summarise questionnaire responses. Chi Squared analysis was used to investigate differences between metropolitan and rural community pharmacies. Results: The response rate was 97/668 (14.5%). Many pharmacies belonged to banner groups (47/95; 40.5%). Use of telehealth was reported (25/96; 26.0%), most commonly for MedsChecks. Many received digital image prescriptions (83/88; 94.3%) and continued dispensing, emergency supply requests, or both (78/84; 92.9%) daily. For home deliveries, most used pharmacy staff (56/78; 71.8%). Shortages were reported for many medicines. Panic buying/stock-piling and the media contributed to increased panic and shortages. Little change occurred in trading hours although many reported increased workloads (67/75; 89.3%). Conclusions: Covid-19 has fast-tracked digitisation in Western Australian community pharmacies. This change is likely similar in other parts of Australia. This was facilitated through the expedition of regulatory changes to enable digital health. Whilst electronic prescribing has progressed, telehealth in pharmacy remained underutilised. The pandemic has contributed to pronounced medicine and medical resources shortages, which increased the workloads and pressure of community pharmacists. Pharmacists were confronted with a lot of legislative change in a short period of time. There is a need for clear and concise communication from all levels of government in future pandemics.

PROTOCOL: Systematic review of methods to reduce risk of bias in knowledge translation interventional studies in health-related issues.

Background: Review studies have reported on the low quality of study methodologies and poor reporting of knowledge translation (KT) interventional studies. This flaw cause the result of such studies to become misleading. Objectives: The present review is designed to evaluate the effect of methodological factors on the results of interventional studies that aimed to evaluate KT strategies at the policy level. Search Methods: Bibliographic databases and grey literature databases will be searched. The retrieved studies will be recorded in Covidence. After screening titles and abstracts, the full texts of selected studies will be assessed against the inclusion criteria. Disagreements will be resolved through discussion or by consultation with a third author. Selection Criteria: Primary studies are studies that aimed to estimate the efficacy of KT strategies to improve evidence-informed policymaking. Study participants include policymakers and the intervention is a KT strategy. The main outcome is the desired changes in policy-makers towards evidence-informed decision-making. Data Collection and Analysis: The main effect sizes will be expressed as standard mean difference and its variance for the main efficacy outcome of KT strategies in primary studies. Forest plot meta-analysis will be used to synthesize the effect of each group of KT strategies. The contribution of ROB to the efficacy of KT interventions will be assessed via Meta-epidemiology analysis. The overall estimate will be calculated using inverse-variance random-effects meta-analysis with a 95% confidence interval for the estimate.