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To investigate factors associated with healthcare utilization by adults in the Kingdom of Saudi Arabia (KSA) during the COVID-19 pandemic. Based on Andersen’s Behavioral Model of Health Services utilization, we conducted logistic regressions to determine the relationship between predisposing factors (age, gender, education, employment status), need factors (critical medical needs), and enabling factors (insurance coverage, financial loss) on healthcare utilization (challenges accessing medical health care needs, resorting to alternative care, unable to attend medical appointments) as the main outcome. Data of 958 adults residing in KSA were extracted. Financial loss increased the odds of challenges in accessing healthcare (OR: 1.73) and lowered the odds of resorting to alternative medical care (OR: 0.63) and inability to attend healthcare appointments (OR: 0.55). Public insurance increased the odds of skipping healthcare appointments (OR: 1.62). Need factors were associated with lower odds of facing challenges accessing healthcare (OR: 0.37), higher odds of resorting to alternative medical care (OR: 5.65), and failure to attend healthcare appointments (OR: 1.92) respectively. Factors known to enable healthcare utilization should be continuously evaluated during emergency situations. Alternative routes of health provision, along with proper health education, should be accessible to all socioeconomic groups.

Abstract Objective Catheter-associated urinary tract infections (CAUTI) are common worldwide, but due to limited resources, its actual burden in low-income countries is unknown. Currently, there are gaps in knowledge about CAUTI due to lack of surveillance activities in Sierra Leone. In this prospective cohort study, we aimed to determine the incidence of CAUTI and associated antibiotic resistance in two tertiary hospitals in different regions of Sierra Leone. Results The mean age of the 459 recruited patients was 48.8 years. The majority were females (236, 51.3%). Amongst the 196 (42.6%) catheterized patients, 29 (14.8%) developed CAUTI. Bacterial growth was reported in 32 (84%) patients. Escherichia coli (14, 23.7%), Klebsiella pneumoniae (10, 17.0%), and Klebsiella oxytoca (8, 13.6%) were the most common isolates. Most isolates were ESBL-producing Enterobacteriaceae (33, 56%) and WHO Priority 1 (Critical) pathogens (38, 71%). Resistance of K. pneumoniae, K. oxytoca, E. coli, and Proteus mirabilis was higher with the third-generation cephalosporins and penicillins but lower with carbapenems, piperacillin-tazobactam and amikacin. To reduce the high incidence of CAUTI and multi-drug resistance organisms, urgent action is needed to strengthen the microbiology diagnostic services and develop and implement catheter bundles that provide clear guidance for catheter insertion, care and removal.

Abstract Background Although one of the main drivers of antimicrobial resistance is inappropriate antibiotic prescribing, there are limited resources to support the surveillance of antibiotic consumption in low-income countries. In this study, we aimed to assess antibiotic use and consumption among medical patients of two hospitals in different geographic regions of Sierra Leone. Methods This is a cross-sectional study of adult (18 years or older) patients receiving medical care at two hospitals (34 Military Hospital-MH and Makeni Government Hospital-MGH) between March 2021 and October 2021. After admission to the medical or intensive care unit, patients were sequentially recruited by a nurse from each hospital. Demographic and clinical characteristics and information on the dose of antibiotics, their routes, and frequency of administration and duration were collected using a questionnaire adapted from previous studies and encrypted in EpiCollect software (Epic, Verona WI). A physician reviews and verifies each completed questionnaire. Data analysis was done using STATA version 16. Results The mean age of the 468 patients evaluated in this study was 48.6 years. The majority were women (241, 51.7%) and treated at MGH (245, 52.0%). Clinical diagnosis of bacterial infection was made in only 180 (38.5%) patients. Regardless of the diagnosis, most (442, 94.9%) patients received at least one antibiotic. Of a total 813 doses of antibiotics prescribed by the two hospitals, 424 (52.2%) were administered in MH. Overall, antibiotic consumption was 66.9 defined daily doses (DDDs) per 100 bed-days, with ceftriaxone being the most commonly used antibiotic (277, 34.1%). The ACCESS and WATCH antibiotics accounted for 18.9 DDDs per 100 bed-days (28.2%) and 48.0 DDDs per 100 bed-days (71.7%), respectively. None of the patients were prescribed a RESERVE antibiotics. The antibiotic consumption was lower in MH (61.3 DDDs per 100 bed-days) than MGH (76.5 DDDs per 100 bed-days). Conclusion Antibiotic consumption was highest with ceftriaxone, followed by levofloxacin and metronidazole. Given the high rate of consumption of antibiotics in the WATCH category of the AWaRe classification, there is a need to initiate surveillance of antibiotic consumption and establish hospital-based antibiotic stewardship in these settings.

Abstract Background The aims of this study were to assess: 1) the associations among sexual activity, alcohol consumption, use of other psychoactive substances and mental health during the COVID-19 pandemic; and 2) the associations between COVID-19 preventive measures, alcohol consumption and use of psychoactive substances. Methods This was a secondary analysis of data collected from adults in Nigeria between July and December 2020. The variables extracted included change in sexual activity, alcohol consumption and use of other psychoactive substances, COVID-19 preventive behaviors (wearing face masks, washing hands, physical distancing), anxiety, depression, post-traumatic stress disorder (PTSD) and sociodemographic variables (age, sex, education, HIV status, employment status). Multivariable logistic regressions were conducted. A model was run to regress depression, anxiety, PTSD, increased alcohol consumption, and increased use of other psychoactive substances, on increased sexual activity. In separate models, anxiety, depression, and PTSD were regressed on increased alcohol consumption and on increased use of other psychoactive substances. Finally, three models were constructed to determine the associations between increased alcohol consumption and increased use of other psychoactive substances on three separate COVID-19 preventive behaviors. All models were adjusted for sociodemographic variables. Results Increased alcohol consumption (AOR:2.19) and increased use of other psychoactive substances (AOR: 3.71) were significantly associated with higher odds of increased sexual activity. Depression was associated with significantly higher odds of increased alcohol consumption (AOR:1.71) and increased use of other psychoactive substances (AOR:3.21). Increased alcohol consumption was associated with significantly lower odds of physical distancing (AOR:0.59). Conclusion There was a complex inter-relationship between mental health, sexual health, increased use of psychoactive substances. The consumption of alcohol also affected compliance with physical distancing. Further studies are needed to understand the observed relationships.

BackgroundArtificial intelligence (AI) is a broad outlet of computer science aimed at constructing machines capable of simulating and performing tasks usually done by human beings. The aim of this scoping review is to map existing evidence on the use of AI in the delivery of medical care.MethodsWe searched PubMed and Scopus in March 2022, screened identified records for eligibility, assessed full texts of potentially eligible publications, and extracted data from included studies in duplicate, resolving differences through discussion, arbitration, and consensus. We then conducted a narrative synthesis of extracted data.ResultsSeveral AI methods have been used to detect, diagnose, classify, manage, treat, and monitor the prognosis of various health issues. These AI models have been used in various health conditions, including communicable diseases, non-communicable diseases, and mental health.ConclusionsPresently available evidence shows that AI models, predominantly deep learning, and machine learning, can significantly advance medical care delivery regarding the detection, diagnosis, management, and monitoring the prognosis of different illnesses.

Abstract Background The COVID-19 pandemic has induced high levels of stress. The aim of the study was to assess the relationship between emotional stress (COVID-19 related fear, anger, frustration, and loneliness) and the use of coping strategies among adults in Nigeria during the COVID-19 pandemic. Methods Data from adults aged 18 years and above were collected through an online survey from July to December 2020. The dependent variables were COVID-19 related fear (fear of infection and infecting others with COVID-19), anger, frustration, and loneliness. The independent variables were coping strategies (use of phones to communicate with family and others, video conferencing, indoor exercises, outdoor exercises, meditation/mindfulness practices, engaging in creative activities, learning a new skill, following media coverage related to COVID-19) and alcohol consumption. Five logistic regression models were developed to identify the factors associated with each dependent variables. All models were adjusted for sociodemographic variables (age, sex at birth, and the highest level of education). Results Respondents who consumed alcohol, followed media coverage for COVID-19 related information, and who spoke with friends or family on the phone had higher odds of having fear of contracting COVID-19 or transmitting infection to others, and of feeling angry, frustrated, or lonely (p

Abstract Background The aim of this study was to determine whether self-reported depression, coronavirus disease of 2019 (COVID-19) health risk profile, HIV status, and SARS-CoV-2 exposure were associated with the use of COVID-19 prevention measures. Methods This survey collected data electronically between June 29 and December 31, 2020 from a convenient sample of 5050 adults 18 years and above living in 12 West African countries. The dependent variables were: social distancing, working remotely, difficulty obtaining face masks and difficulty washing hands often. The independent variables were self-reported depression, having a health risk for COVID-19 (high, moderate and little/no risk), living with HIV and COVID-19 status (SARS-CoV-2 positive tests, having COVID-19 symptoms but not getting tested, having a close friend who tested positive for SARS-CoV-2 and knowing someone who died from COVID-19). Four binary logistic regression models were developed to model the associations between the dependent and independent variables, adjusting for socio-demographic variables (age, gender, educational status, employment status and living status). Results There were 2412 (47.8%) male participants and the mean (standard deviation) age was 36.94 (11.47) years. Respondents who reported depression had higher odds of working remotely (AOR: 1.341), and having difficulty obtaining face masks (AOR: 1.923;) and washing hands often (AOR: 1.263). People living with HIV had significantly lower odds of having difficulty washing hands often (AOR: 0.483). Respondents with moderate health risk for COVID-19 had significantly higher odds of social distancing (AOR: 1.144) and those with high health risk had difficulty obtaining face masks (AOR: 1.910). Respondents who had a close friend who tested positive for SARS-CoV-2 (AOR: 1.132) and knew someone who died of COVID-19 (AOR: 1.094) had significantly higher odds of social distancing. Those who tested positive for SARS-CoV-2 had significantly lower odds of social distancing (AOR: 0.629) and working remotely (AOR: 0.713). Those who had symptoms of COVID-19 but did not get tested had significantly lower odds of social distancing (AOR: 0.783) but significantly higher odds of working remotely (AOR: 1.277). Conclusions The study signifies a disparity in the access to and use of COVID-19 preventative measures that is allied to the health and COVID-19 status of residents in West Africa. Present findings point to risk compensation behaviours in explaining this outcome.

Abstract Aim This study describes the coordination mechanisms that have been used for management of the COVID 19 pandemic in the WHO AFRO region; relate the patterns of the disease (length of time between onset of coordination and first case; length of the wave of the disease and peak attack rate) to coordination mechanisms established at the national level, and document best practices and lessons learned. Method We did a retrospective policy tracing of the COVID-19 coordination mechanisms from March 2020 (when first cases of COVID-19 in the AFRO region were reported) to the end of the third wave in September 2021. Data sources were from document and Literature review of COVID-19 response strategies, plans, regulations, press releases, government websites, grey and peer-reviewed literature. The data was extracted to Excel file database and coded then analysed using Stata (version 15). Analysis was done through descriptive statistical analysis (using measures of central tendencies (mean, SD, and median) and measures of central dispersion (range)), multiple linear regression, and thematic analysis of qualitative data. Results There are three distinct layered coordination mechanisms (strategic, operational, and tactical) that were either implemented singularly or in tandem with another coordination mechanism. 87.23% (n = 41) of the countries initiated strategic coordination, and 59.57% (n = 28) initiated some form of operational coordination. Some of countries (n = 26,55.32%) provided operational coordination using functional Public Health Emergency Operation Centres (PHEOCs) which were activated for the response. 31.91% (n = 15) of the countries initiated some form of tactical coordination which involved the decentralisation of the operations at the local/grassroot level/district/ county levels. Decentralisation strategies played a key role in coordination, as was the innovative strategies by the countries; some coordination mechanisms built on already existing coordination systems and the heads of states were effective in the success of the coordination process. Financing posed challenge to majority of the countries in initiating coordination. Conclusion Coordinating an emergency is a multidimensional process that includes having decision-makers and institutional agents define and prioritise policies and norms that contain the spread of the disease, regulate activities and behaviour and citizens, and respond to personnel who coordinate prevention.

Abstract Background Nigeria is a country with high risk for traumatic incidences, now aggravated by the COVID-19 pandemic. This study aimed to identify differences in COVID-19 related post-traumatic stress symptoms (PTSS) among people living and not living with HIV; to assess whether PTSS were associated with COVID-19 pandemic-related anger, loneliness, social isolation, and social support; and to determine the association between PTSS and use of COVID-19 prevention strategies. Methods The data of the 3761 respondents for this analysis was extracted from a cross-sectional online survey that collected information about mental health and wellness from a convenience sample of adults, 18 years and above, in Nigeria from July to December 2020. Information was collected on the study’s dependent variable (PTSS), independent variables (self-reported COVID-19, HIV status, use of COVID-19 prevention strategies, perception of social isolation, access to emotional support, feelings of anger and loneliness), and potential confounder (age, sex at birth, employment status). A binary logistic regression model tested the associations between independent and dependent variables. Results Nearly half (47.5%) of the respondents had PTSS. People who had symptoms but were not tested (AOR = 2.20), felt socially isolated (AOR = 1.16), angry (AOR = 2.64), or lonely (AOR = 2.19) had significantly greater odds of reporting PTSS (p

Introduction: Despite the prolongation of hospitalization, increase in morbidity, mortality and cost of care associated with both surgical site infections (SSIs) and antibiotic resistance, there are limited data on SSIs and antibiotic resistance to guide prevention strategies in Sierra Leone. Methods: This study assessed the burden of SSIs and related antibiotic resistance in the 34 Military Hospital (MH) and Makeni Government Hospital (MGH) located in two geographic regions of Sierra Leone using a prospective study design to collect data from adults aged 18 years or older. Results: Of the 417 patients, 233 (55.9%) were enrolled in MGH. Most were women 294 (70.5%). The incidence rate of SSI was 5.5 per 1000 patient-days, and the cumulative incidence of SSI was 8.2%. Common bacteria isolated in MH were Escherichia coli (6,33.3%) and Pseudomonas aeruginosa (3,16.7%) and in MGH were P. aeruginosa (3,42.9%) and Proteus mirabilis (2,28.9%). Of the gram-negative bacteria, 40% were Extended-spectrum beta-lactamase-producing Enterobacteriaceae , 33% were Carbapenem-resistant P. aeruginosa and 10% were carbapenem-resistant Enterobacteriaceae . Conclusion: Although the incidence of SSIs in our study is lower than previously reported, the rate of antibiotic resistance reported in this study is high. Urgent action is needed to invest in the microbiology infrastructure to support SSI surveillance and prevention strategies.

Background With the evolving epidemiological parameters of COVID-19 in Africa, the response actions and lessons learnt during the pandemic’s past two years, SARS-COV 2 will certainly continue to circulate in African countries in 2022 and beyond. As countries in the African continent need to be more prepared and plan to ‘live with the virus’ for the upcoming two years and after and at the same time mitigate risks by protecting the future most vulnerable and those responsible for maintaining essential services, WHO AFRO is anticipating four interim scenarios of the evolution of the pandemic in 2022 and beyond in the region. Objective In preparation for the rollout of response actions given the predicted scenarios, WHO AFRO has identified ten strategic orientations and areas of focus for supporting member states and partners in responding to the COVID-19 pandemic in Africa in 2022 and beyond. Methods WHO analysed trends of the transmissions since the first case in the African continent and reviewed lessons learnt over the past months. Results Establishing a core and agile team solely dedicated to the COVID-19 response at the WHO AFRO, the emergency hubs, and WCOs will improve the effectiveness of the response and address identified challenges. The team will collaborate with the various clusters of the regional office, and other units and subunits in the WCOs supported with good epidemics intelligence. COVID-19 pandemic has afflicted global humanity at unprecedented levels. Conclusion Two years later and while starting the third year of the COVID-19 response, we now need to change and adapt our strategies, tools and approaches in responding timely and effectively to the pandemic in Africa and save more lives.

Abstract Objective: Despite the impact of inappropriate prescribing on antibiotic resistance, data on surgical antibiotic prophylaxis in sub-Saharan Africa are limited. In this study, we evaluated antibiotic use and consumption in surgical prophylaxis in 4 hospitals located in 2 geographic regions of Sierra Leone. Methods: We used a prospective cohort design to collect data from surgical patients aged 18 years or older between February and October 2021. Data were analyzed using Stata version 16 software. Results: Of the 753 surgical patients, 439 (58.3%) were females, and 723 (96%) had received at least 1 dose of antibiotics. Only 410 (54.4%) patients had indications for surgical antibiotic prophylaxis consistent with local guidelines. Factors associated with preoperative antibiotic prophylaxis were the type of surgery, wound class, and consistency of surgical antibiotic prophylaxis with local guidelines. Postoperatively, type of surgery, wound class, and consistency of antibiotic use with local guidelines were important factors associated with antibiotic use. Of the 2,482 doses administered, 1,410 (56.8%) were given postoperatively. Preoperative and intraoperative antibiotic use was reported in 645 (26%) and 427 (17.2%) cases, respectively. The most commonly used antibiotic was ceftriaxone 949 (38.2%) with a consumption of 41.6 defined daily doses (DDD) per 100 bed days. Overall, antibiotic consumption was 117.9 DDD per 100 bed days. The Access antibiotics had 72.7 DDD per 100 bed days (61.7%). Conclusions: We report a high rate of antibiotic consumption for surgical prophylaxis, most of which was not based on local guidelines. To address this growing threat, urgent action is needed to reduce irrational antibiotic prescribing for surgical prophylaxis.

INTRODUCTION: Long-distance truck drivers have been identified as a high-risk group for coronavirus disease (COVID-19) infection. Thus, the aim of this scoping review is to map out the existing evidence on the impact of long-distance truck drivers on the spread of COVID-19 and measures that countries can implement to mitigate this route of spread in the African region. METHODS: we searched the PubMed database and the website of the World Health Organization (WHO) in March 2020 for eligible studies. RESULTS: the search strategy identified 669 citations, of which six met the inclusion criteria. The most frequently reported interventions were maintaining hand hygiene, social distance, testing truck drivers, regulation of trade and transport e.g. only trucks with the food, medical supplies, fuels, agricultural supplies will be allowed to operate in interstate operations and regulating and controlling trucks carrying essential goods and services e.g. truck drivers are required to declare their final destination and are urged to stop only at designated points. Two studies from the African region reported about border closures and entry and exit screening, two studies from the US reported about the threat for public safety and risks and mitigation plans and 2 guidelines reported about harmonisation and facilitation of cross border in the context of the COVID-19 outbreak. CONCLUSION: this review highlights the countries response to mitigate the impact of the pandemic by implementing measures to facilitate safe cross-border trade and adopting regional harmonization of trucking regulations.

The coronavirus disease (COVID-19) caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) has become a global pandemic. There is currently no vaccine or effective treatment for COVID-19. Early diagnosis and management is key to favourable outcomes. In order to prevent more widespread transmission of the virus, rapid detection and isolation of confirmed cases is of utmost importance. Real time reverse transcriptase polymerase chain reaction (RT-PCR) is currently the "gold standard" for the detection of SARS-COV-2. There are several challenges associated with this test from sample collection to processing and the longer turnaround time for the results to be available. More rapid and faster diagnostic tests that may produce results within minutes to a few hours will be instrumental in controlling the disease. Serological tests that detect specific antibodies to the virus may be such options. In this review, we extensively searched for studies that compared RT-PCR with serological tests for the diagnosis of COVID-19. We extracted the data from the various selected studies that compared the different tests and summarised the available evidence to determine which test is more appropriate especially in Africa. We also reviewed the current evidence and the challenges for the genome sequencing of SARS-COV-2 in Africa. Finally, we discuss the relevance of the different diagnostic tests and the importance of genome sequencing in identifying potential therapeutic options for the control of COVID-19 in Africa.

Introduction: the WHO Regional Office for Africa developed an evidence-based tool, called the Dalberg tool to guide the functional review and restructuring of the workforce and management of the country offices to better fit the health priorities of Member States.

Although hand hygiene (HH) is the most effective intervention to reduce the spread of infections, there are limited data on HH facilities, policy, and compliance in sub-Saharan Africa. This cross-sectional study is aimed at assessing HH using the WHO HH self-assessment framework, HH technical reference manual, and a modified infection control self-assessment tool in two hospitals in Sierra Leone. Only 10% and 9% of regional and capital city hospitals had running tap water, respectively. Veronica buckets were the resources for HH in 89% of units in the regional hospital and 92% of units in capital city hospital. Constant supply of soap and alcohol-based hand rub was available in 82% and 68%; and 74% and 79% of units in the capital city and regional hospitals, respectively. Only 10% of the units in both hospitals had hand-drying facilities and functional sinks. Overall HH compliance for the two hospitals was 18.6% and was higher in the regional (20.8%) than the capital city (17.0%) hospitals. The HH levels for the capital city and regional hospitals were 277.5 and 262.5 respectively. Despite the COVID-19 pandemic, there are still challenges with HH compliance in Sierra Leone. It is, therefore, necessary to strengthen the HH multi-modal strategy.