Lockdowns and border closures impacted medicine availability during the COVID-19 pandemic. This study aimed to assess the availability of essential, generic medicines for chronic diseases at public pharmaceutical supply agencies in Ethiopia.

Comparative cross-sectional study.

The availability of essential, generic medicines for chronic diseases was assessed at two public pharmaceutical supply agency hubs.

The current study included public supply agency hub managers, warehouse managers and forecasting officers at the study setting.

The assessment encompassed the availability of chronic medicines on the day of data collection, as well as records spanning 8 months before the outbreak and 1 year during the pandemic. A total of 22 medicines were selected based on their inclusion in the national essential drug list for public health facilities, including 17 medicines for cardiovascular disease and 5 for diabetes mellitus.

The results of the study indicate that the mean availability of the selected basket medicines was 43.3% (95% CI: 37.1 to 49.5) during COVID-19, which was significantly lower than the availability of 67.4% (95% CI: 62.2 to 72.6) before the outbreak (p

The COVID-19 pandemic worsened the availability of essential chronic medicines, including higher rates of stockouts and unit price hikes for some products in the study setting. The study’s findings imply that the COVID-19 pandemic has aggravated already-existing medicine availability issues. Efforts should be made to develop contingency plans and establish mechanisms to monitor medicine availability and pricing during such crises.

To assess the prevalence and drivers of distress, a composite of burnout, decreased meaning in work, severe fatigue, poor work–life integration and quality of life, and suicidal ideation, among nurses and physicians during the COVID-19 pandemic.

Cross-sectional design to evaluate distress levels of nurses and physicians during the COVID-19 pandemic between June and August 2021.

Cardiovascular and oncology care settings at a Canadian quaternary hospital network.

261 nurses and 167 physicians working in cardiovascular or oncology care. Response rate was 29% (428 of 1480).

Survey tool to measure clinician distress using the Well-Being Index (WBI) and additional questions about workplace-related and COVID-19 pandemic-related factors.

Among 428 respondents, nurses (82%, 214 of 261) and physicians (62%, 104 of 167) reported high distress on the WBI survey. Higher WBI scores (≥2) in nurses were associated with perceived inadequate staffing (174 (86%) vs 28 (64%), p=0.003), unfair treatment, (105 (52%) vs 11 (25%), p=0.005), and pandemic-related impact at work (162 (80%) vs 22 (50%), p

High distress was common among nurses and physicians working in cardiovascular and oncology care settings during the pandemic and linked to factors within and beyond the workplace. These results underscore the complex and contextual aspects of clinician distress, and the need to develop targeted approaches to effectively address this problem.

It is well known that the COVID-19 pandemic has had a devastating impact on mental health, especially among individuals with long COVID. This systematic review and meta-analysis aims to investigate the prevalence of depression, stress and suicide tendencies among individuals with long COVID, as well as to explore the factors that contribute to these conditions.

A comprehensive review of literature will be conducted in various databases of including PubMed, including Medline, Embase, PsycINFO, CINAHL and Cochrane Library. The studies to be included in this review will be published in the English language, and the time frame of included studies will be from the date of inception of COVID-19 until 30 December 2023. Two independent reviewers will identify studies for inclusion based on a screening questionnaire, and the JBI standardised critical appraisal checklist for studies reporting prevalence data will be used to assess the methodological quality. The strength of the body of evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. To analyse the data, a robust Bayesian approach will be applied using the STATA software package (V.14; STATA) and JASP software. The findings of this systematic review and meta-analysis will provide valuable insights into the prevalence of depression, stress and suicide tendencies among individuals with long COVID, as well as the factors that contribute to these conditions.

There is no research ethics board approval required. The dissemination plan is to publish results in a peer-reviewed academic journal.

CRD42022346858.

To define macro symptoms of long COVID and to identify predictive factors, with the aim of preventing the development of the long COVID syndrome.

A single-centre longitudinal prospective cohort study conducted from May 2020 to October 2022.

The study was conducted at Luigi Sacco University Hospital in Milan (Italy). In May 2020, we activated the ARCOVID (Ambulatorio Rivalutazione COVID) outpatient service for the follow-up of long COVID.

Hospitalised and non-hospitalised patients previously affected by COVID-19 were either referred by specialists or general practitioners or self-referred.

During the first visit, a set of questions investigated the presence and the duration of 11 symptoms (palpitations, amnesia, headache, anxiety/panic, insomnia, loss of smell, loss of taste, dyspnoea, asthenia, myalgia and telogen effluvium). The follow-up has continued until the present time, by sending email questionnaires every 3 months to monitor symptoms and health-related quality of life.

Measurement of synthetic scores (aggregation of symptoms based on occurrence and duration) that may reveal the presence of long COVID in different clinical macro symptoms. To this end, a mixed supervised and empirical strategy was adopted. Moreover, we aimed to identify predictive factors for post-COVID-19 macro symptoms.

In the first and second waves of COVID-19, 575 and 793 patients (respectively) were enrolled. Three different post-COVID-19 macro symptoms (neurological, sensorial and physical) were identified. We found significant associations between post-COVID-19 symptoms and (1) the patients’ comorbidities, and (2) the medications used during the COVID-19 acute phase. ACE inhibitors (OR=2.039, 95% CI: 1.095 to 3.892), inhaled steroids (OR=4.08, 95% CI: 1.17 to 19.19) and COVID therapies were associated with increased incidence of the neurological macro symptoms. Age (OR=1.02, 95% CI: 1.01 to 1.04), COVID-19 severity (OR=0.42, 95% CI: 0.21 to 0.82), number of comorbidities (OR=1.22, 95% CI: 1.01 to 1.5), metabolic (OR=2.52, 95% CI: 1.25 to 5.27), pulmonary (OR=1.87, 95% CI: 1.10 to 3.32) and autoimmune diseases (OR=4.57, 95% CI: 1.57 to 19.41) increased the risk of the physical macro symptoms.

Being male was the unique protective factor in both waves. Other factors reflected different medical behaviours and the impact of comorbidities. Evidence of the effect of therapies adds valuable information that may drive future medical choices.

In the USA and UK, pandemic-era outcome data have been excluded from hospital rankings and pay-for-performance programmes. We assessed the relationship between US hospitals’ pre-pandemic Centers for Medicare and Medicaid Services (CMS) Overall Hospital Star ratings and early pandemic 30-day mortality among both patients with COVID and non-COVID to understand whether pre-existing structures, processes and outcomes related to quality enabled greater pandemic resiliency.

A retrospective, claim-based data study using the 100% Inpatient Standard Analytic File and Medicare Beneficiary Summary File including all US Medicare Fee-for-Service inpatient encounters from 1 April 2020 to 30 November 2020 linked with the CMS Hospital Star Ratings using six-digit CMS provider IDs.

The outcome was risk-adjusted 30-day mortality. We used multivariate logistic regression adjusting for age, sex, Elixhauser mortality index, US Census Region, month, hospital-specific January 2020 CMS Star rating (1–5 stars), COVID diagnosis (U07.1) and COVID diagnosisxCMS Star Rating interaction.

We included 4 473 390 Medicare encounters from 2533 hospitals, with 92 896 (28.2%) mortalities among COVID-19 encounters and 387 029 (9.3%) mortalities among non-COVID encounters. There was significantly greater odds of mortality as CMS Star Ratings decreased, with 18% (95% CI 15% to 22%; p

Our results support a need to further understand how quality outcomes were maintained during the pandemic. Valuable insights can be gained by including the reporting of risk-adjusted pandemic era hospital quality outcomes for high and low performing hospitals.

Mental health disorders (MHD) rank third for US adult hospitalisations. Given the substantial prevalence of ‘Long COVID’ in SARS-CoV-2 survivors, this study aims to assess its association with increased MHD risk using extensive real-world data.

A retrospective cohort study with propensity score matching was conducted. We used the International Classification of Diseases, 10th Revision codes to identify individuals with Long COVID status and COVID-19 histories. Multivariable stratified Cox proportional hazards regression analysis was conducted to determine the association of Long COVID status with MHD.

Data were sourced from the TriNetX database, spanning records from 1 October 2021 to 16 April 2023.

Two distinct cohorts were established: one comprising individuals diagnosed with Long COVID and another comprising individuals with no history of Long COVID or COVID-19. At the start of the study, none of the participants had a recorded MHD.

The main outcome of interest was a composite diagnosis of MHD. Secondary outcomes were individual mental health conditions.

The study included 43 060 control participants without Long COVID and 4306 Long COVID participants, demonstrating well-balanced distribution across all covariates. After adjusting for 4 demographic factors and 10 comorbidities, Long COVID was associated with MHD (adjusted HR, aHR 2.60; 95% CI 2.37 to 2.85). In subgroup analysis, Long COVID was associated with major depression disorder (aHR 3.36; 95% CI 2.82 to 4.00) and generalised anxiety disorder (aHR 3.44; 95% CI 2.99 to 3.96).

In this retrospective large real-world cohort study, Long COVID was associated with an increased risk of incident MHD. The MHD impact is significant considering the vast number of patients with Long COVID. Enhanced MHD screening among COVID-19 survivors should be a priority.

Longitudinal studies can provide timely and accurate information to evaluate and inform COVID-19 control and mitigation strategies and future pandemic preparedness. The Optimise Study is a multidisciplinary research platform established in the Australian state of Victoria in September 2020 to collect epidemiological, social, psychological and behavioural data from priority populations. It aims to understand changing public attitudes, behaviours and experiences of COVID-19 and inform epidemic modelling and support responsive government policy.

This protocol paper describes the data collection procedures for the Optimise Study, an ongoing longitudinal cohort of ~1000 Victorian adults and their social networks. Participants are recruited using snowball sampling with a set of seeds and two waves of snowball recruitment. Seeds are purposively selected from priority groups, including recent COVID-19 cases and close contacts and people at heightened risk of infection and/or adverse outcomes of COVID-19 infection and/or public health measures. Participants complete a schedule of monthly quantitative surveys and daily diaries for up to 24 months, plus additional surveys annually for up to 48 months. Cohort participants are recruited for qualitative interviews at key time points to enable in-depth exploration of people’s lived experiences. Separately, community representatives are invited to participate in community engagement groups, which review and interpret research findings to inform policy and practice recommendations.

The Optimise longitudinal cohort and qualitative interviews are approved by the Alfred Hospital Human Research Ethics Committee (# 333/20). The Optimise Study CEG is approved by the La Trobe University Human Ethics Committee (# HEC20532). All participants provide informed verbal consent to enter the cohort, with additional consent provided prior to any of the sub studies. Study findings will be disseminated through public website (https://optimisecovid.com.au/study-findings/) and through peer-reviewed publications.

NCT05323799.

This study aims to characterise respondents who have COVID-19 and long COVID syndrome (LCS), and describe their symptoms and healthcare utilisation.

Observational cross-sectional survey.

The one-time online survey was available from June 2022 to November 2022 to capture the experience of residents in Manitoba, Canada.

Individuals shared their experience with COVID-19 including their COVID-19 symptoms, symptoms suggestive of LCS and healthcare utilisation. We used descriptive statistics to characterise patients with COVID-19, describe symptoms suggestive of LCS and explore respondent health system use based on presenting symptoms.

There were 654 Manitobans who responded to our survey, 616 (94.2%) of whom had or provided care to someone who had COVID-19, and 334 (54.2%) reported symptoms lasting 3 or more months. On average, respondents reported having 10 symptoms suggestive of LCS, with the most common being extreme fatigue (79.6%), issues with concentration, thinking and memory (76.6%), shortness of breath with activity (65.3%) and headaches (64.1%). Half of the respondents (49.2%) did not seek healthcare for COVID-19 or LCS. Primary care was sought by 66.2% respondents with symptoms suggestive of LCS, 15.2% visited an emergency department and 32.0% obtained care from a specialist or therapist. 62.6% of respondents with symptoms suggestive of LCS reported reducing work, school or other activities which demonstrate its impact on physical function and health-related quality of life.

Consistent with the literature, there are a variety of symptoms experienced among individuals with COVID-19 and LCS. Healthcare providers face challenge in providing care for patients with a wide range of symptoms unlikely to respond to a single intervention. These findings support the value of interdisciplinary COVID-19 clinics due to the complexity of the syndrome. This study confirms that data collected from the healthcare system do not provide a comprehensive reflection of LCS.

To create case definitions for confirmed COVID-19 diagnoses, COVID-19 vaccination status and three separate definitions of high risk of severe COVID-19, as well as to assess whether the implementation of these definitions in a cohort reflected the sociodemographic and clinical characteristics of COVID-19 epidemiology in England.

Retrospective cohort study.

Electronic healthcare records from primary care (Clinical Practice Research Datalink, CPRD) linked to secondary care data (Hospital Episode Statistics) data covering 24% of the population in England.

2 271 072 persons aged 1 year and older diagnosed with COVID-19 in CPRD Aurum between 1 August 2020 and 31 January 2022.

Age, sex and regional distribution of COVID-19 cases and COVID-19 vaccine doses received prior to diagnosis were assessed separately for the cohorts of cases identified in primary care and those hospitalised for COVID-19 (primary diagnosis code of ICD-10 U07.1 ‘COVID-19’). Smoking status, body mass index and Charlson Comorbidity Index were compared for the two cohorts, as well as for three separate definitions of high risk of severe disease used in the UK (National Health Service Highest Risk, PANORAMIC trial eligibility, UK Health Security Agency Clinical Risk prioritisation for vaccination).

Compared with national estimates, CPRD case estimates under-represented older adults in both the primary care (age 65–84: 6% in CPRD vs 9% nationally) and hospitalised (31% vs 40%) cohorts, and over-represented people living in regions with the highest median wealth areas of England (20% primary care and 20% hospital admitted cases in South East vs 15% nationally). The majority of non-hospitalised cases and all hospitalised cases had not completed primary series vaccination. In primary care, persons meeting high-risk definitions were older, more often smokers, overweight or obese, and had higher Charlson Comorbidity Index score.

CPRD primary care data are a robust real-world data source and can be used for some COVID-19 research questions, however, limitations of the data availability should be carefully considered. Included in this publication are supplemental files for a total of over 28 000 codes to define each of three definitions of high risk of severe disease.

Children with acute respiratory tract infections (ARTIs) pose significantly burden on healthcare facilities due to high hospitalisation rates and mortality. However, limited epidemiological and clinical characteristics data on ARTIs in southeastern China during the COVID-19 pandemic exists.

Cross-sectional.

Tertiary hospital associated with the First Affiliated Hospital, Fujian Medical University, China.

1007 hospitalised children diagnosed with ARTIs, aged 30 days to 15 years, were enrolled in this study from 1 January 2020 to 31 December 2021.

The primary outcomes are the rate of pathogen infections in children with ARTIs. Secondary outcomes are the description of risk factors associated with ARTIs in children.

Of the 1007 enrolled children, 28.2%, 42.2%, 21.8% and 7.7% were diagnosed with upper respiratory tract infection, bronchopneumonia, bronchitis and pneumonia, respectively. Mycoplasma pneumoniae (MP) was the most prevalent pathogen (31.9%), followed by influenza B virus (IFVB; 29.1%) and influenza A virus (IFVA; 19.1%). The study found that children under 1 year old (older than 30 days: OR_IFVB=12.50; OR_MP=8.53), children aged 1–3 years (OR_MP=1.62), the winter season (OR_IFVA=1.36), the time from symptoms onset to hospitalisation (OR_MP=1.10) and increased precipitation (OR_LP=1.01) were high-risk factors for ARTIs.

This investigation offers significant insights into the prevalence and distribution of common pathogens among children experiencing ARTIs in the context of the COVID-19 pandemic. The discernment of high-risk factors linked to these pathogens enhances our understanding of the epidemiological characteristics of ARTIs in children.

The COVID-19 pandemic has forced the implementation of physical distancing and self-isolation strategies worldwide. However, these measures have significant potential to increase social isolation and loneliness. Among older people, loneliness has increased from 40% to 70% during COVID-19. Previous research indicates loneliness is strongly associated with increased mortality. Thus, strategies to mitigate the unintended consequences of social isolation and loneliness are urgently needed. Following the Obesity-Related Behavioural Intervention Trials model for complex behavioural interventions, we describe a protocol for a three-arm randomised clinical trial to reduce social isolation and loneliness.

A multicentre, outcome assessor blinded, three-arm randomised controlled trial comparing 12 weeks of: (1) the HOspitals WoRking in Unity (‘HOW R U?’) weekly volunteer-peer support telephone intervention; (2) ‘HOW R U?’ deliver using a video-conferencing solution and (3) a standard care group. The study will follow Consolidated Standard of Reporting Trials guidelines.

We will recruit 24–26 volunteers who will receive a previously tested half day lay-training session that emphasises a strength-based approach and safety procedures. We will recruit 141 participants ≥70 years of age discharged from two participating emergency departments or referred from hospital family medicine, geriatric or geriatric psychiatry clinics. Eligible participants will have probable baseline loneliness (score ≥2 on the de Jong six-item loneliness scale). We will measure change in loneliness, social isolation (Lubben social network scale), mood (Geriatric Depression Score) and quality of life (EQ-5D-5L) at 12–14 weeks postintervention initiation and again at 24–26 weeks.

Approval has been granted by the participating research ethics boards. Participants randomised to standard care will be offered their choice of telephone or video-conferencing interventions after 12 weeks. Results will be disseminated through journal publications, conference presentations, social media and through the International Federation of Emergency Medicine.

NCT05228782.

The aim of this paper was to explore the experiences and support needs of ethnically diverse healthcare staff and how they were affected by the COVID-19 pandemic.

A qualitative study using focus groups conducted remotely on Microsoft Teams.

The study took place across 10 National Health Service Trusts in England; 5 were Acute Hospitals Trusts and 5 were Community and Mental Health Trusts.

55 participants across 16 focus groups took part in the study. Participants were all healthcare staff members from ethnically diverse backgrounds.

Seven themes were generated which highlighted issues of negative experiences of discrimination at work, particularly during the COVID-19 pandemic, including participants often finding line managers unsupportive, appearing to lack care and compassion, and not understanding ethnic diversity issues. Participants identified many reasons for finding it difficult to speak up when faced with such experiences, such as feeling unsafe to do so, or feeling too exhausted to keep speaking up. Other staff had more positive experiences and described supportive interventions, and despite workplace difficulties, many participants discussed remaining motivated to work in the National Health Service.

Negative day-to-day experiences of ethnically diverse healthcare staff, and the difficulty of speaking up about these align with other, international literature on this topic. Progress in the area of staff equality is vital if healthcare organisations are to continue to provide high-quality patient care and retain skilled, compassionate staff who value their place of work. Recent literature suggests that many initiatives to reduce inequalities have not been successful, and there is a call for fundamental, cultural-level change. Future research is needed to understand how best to implement these organisational-level changes and to evaluate their effectiveness.

To determine whether periods of disruption were associated with increased ‘avoidable’ hospital admissions and wider social inequalities in England.

Observational repeated cross-sectional study.

England (January 2019 to March 2022).

With the approval of NHS England we used individual-level electronic health records from OpenSAFELY, which covered ~40% of general practices in England (mean monthly population size 23.5 million people).

We estimated crude and directly age-standardised rates for potentially preventable unplanned hospital admissions: ambulatory care sensitive conditions and urgent emergency sensitive conditions. We considered how trends in these outcomes varied by three measures of social and spatial inequality: neighbourhood socioeconomic deprivation, ethnicity and geographical region.

There were large declines in avoidable hospitalisations during the first national lockdown (March to May 2020). Trends increased post-lockdown but never reached 2019 levels. The exception to these trends was for vaccine-preventable ambulatory care sensitive admissions which remained low throughout 2020–2021. While trends were consistent by each measure of inequality, absolute levels of inequalities narrowed across levels of neighbourhood socioeconomic deprivation, Asian ethnicity (compared with white ethnicity) and geographical region (especially in northern regions).

We found no evidence that periods of healthcare disruption from the COVID-19 pandemic resulted in more avoidable hospitalisations. Falling avoidable hospital admissions has coincided with declining inequalities most strongly by level of deprivation, but also for Asian ethnic groups and northern regions of England.

This study aims to assess risk factors for SARS-CoV-2 infection by combined design; first comparing positive cases to negative controls as determined by PCR testing and then comparing these two groups to an additional prepandemic population control group.

Test-negative design (TND), multicentre case–control study with additional population controls in South-Eastern Norway.

Adults who underwent SARS-CoV-2 PCR testing between February and December 2020. PCR-positive cases, PCR-negative controls and additional age-matched population controls.

The associations between various risk factors based on self- reported questionnaire and SARS-CoV-2 infection comparing PCR-positive cases and PCR-negative controls. Using subgroup analysis, the risk factors for both PCR-positive and PCR-negative participants were compared with a population control group.

In total, 400 PCR-positive cases, 719 PCR-negative controls and 14 509 population controls were included. Male sex was associated with the risk of SARS-CoV-2 infection only in the TND study (OR 1.9, 95% CI 1.4 to 2.6), but not when PCR-positive cases were compared with population controls (OR 1.2, 95% CI 0.9. to 1.5). Some factors were positively (asthma, wood heating) or negatively (hypertension) associated with SARS-CoV-2 infection when PCR-positive cases were compared with population controls, but lacked convincing association in the TND study. Smoking was negatively associated with the risk of SARS-CoV-2 infection in both analyses (OR 0.5, 95% CI 0.3 to 0.8 and OR 0.6, 95% CI 0.4 to 0.8).

Male sex was a possible risk factor for SARS-CoV-2 infection only in the TND study, whereas smoking was negatively associated with SARS-CoV-2 infection in both the TND study and when using population controls. Several factors were associated with SARS-CoV-2 infection when PCR-positive cases were compared with population controls, but not in the TND study, highlighting the strength of combining case–control study designs during the pandemic.

To investigate how changes in levels of physical activity (PA) in regard to acute disease severity relate to perceived difficulties in performing daily life activities 18 months after COVID-19 infection.

An observational study with an 18-month follow-up survey based on registry data from a national cohort.

5464 responders to the 18-month follow-up survey of a Swedish national cohort of 11 955 individuals on sick leave due to COVID-19 during the first wave of the pandemic.

The follow-up survey included questions on daily life activities, as well as present and retrospective level of PA. Changes in PA level from before COVID-19 to follow-up were assessed by the Saltin-Grimby PA Level Scale and analysed by the Wilcoxon signed-rank test. Comparisons of groups were analysed by the Student’s t-test, Mann-Whitney U test and ². Multiple binary logistic regression was performed to assess the association of changes in PA with perceived difficulties in performing daily life activities.

Among the 5464 responders (45% of national cohort), the PA level decreased. Hospitalised individuals had a lower PA level both prior to COVID-19 (p=0.035) and at the 18-month follow-up (p=0.008) compared with non-hospitalised responders. However, the level of PA decreased in both groups. A decrease in PA level increased the odds (OR 5.58, 95% CI 4.90 to 6.34) of having difficulties performing daily life activities.

PA levels were reduced 18 months after COVID-19 infection. A decrease in PA over that time was associated with perceived difficulties performing daily life activities 18 months after COVID-19. As PA is important in maintaining health and deconditioning takes time to reverse, this decline may have long-term implications for PA and health.

To explore and describe senior nursing students’ perspectives on clinical practice during COVID-19 and provide the most up-to-date information on the quality of clinical experience for nursing students in relation to nursing practice, nursing education, and nursing research.

The research design that was employed is a qualitative, explorative, descriptive in order to explore and describe nursing students’ perceptions of clinical, training during the COVID-19 pandemic.

The study took place in a local university located in the Northwest province, South Africa.

The population consisted of 16 senior nursing students who had been exposed to clinical practice during the COVID-19 pandemic. There were 14 women and 2 men. Study included full-time, registered undergraduate nursing students who enrolled in 2019. All nursing students who did not engage in clinical practice before or during COVID-19 were exempt.

There were no direct interventions in this study; however, few recommendations were made for each of the themes that emerged in this study.

The researchers’ aim with the study was to find out the nursing students’ perspective on clinical training during a global pandemic, through interviews and focus group discussions. The researcher did in fact receive such feedback from the participants.

Four major themes emerged: (1) the lack of preceptors to facilitate clinical teaching; (2) not allowed to work in COVID-19 wards; (3) difficulties with online classes and tests and (4) poor communication.

The COVID-19 pandemic influenced how students viewed and experienced clinical training, which in turn had an impact on their learning experiences. These effects also had some impact on their experiences and decisions to continue working as professional nurses.

Healthcare workers (HCWs) are on the frontline of combating COVID-19, hence are at elevated risk of contracting an infection with SARS-CoV-2. The present study aims to measure the impact of SARS-CoV-2 on HCWs in central sub-Saharan Africa.

A cross-sectional serological study was conducted at six urban and five rural hospitals during the first pandemic wave in the South Kivu province, Democratic Republic of the Congo (DRC).

Serum specimens from 1029 HCWs employed during the first pandemic wave were collected between August and October 2020, and data on demographics and work-related factors were recorded during structured interviews.

The presence of IgG antibodies against SARS-CoV-2 was examined by ELISA. Positive specimens were further tested using a micro-neutralisation assay. Factors driving SARS-CoV-2 seropositivity were assessed by multivariable analysis.

Overall SARS-CoV-2 seroprevalence was high among HCWs (33.1%), and significantly higher in urban (41.5%) compared with rural (19.8%) hospitals. Having had presented with COVID-19-like symptoms before was a strong predictor of seropositivity (31.5%). Personal protective equipment (PPE, 88.1% and 11.9%) and alcohol-based hand sanitizer (71.1% and 28.9%) were more often available, and hand hygiene was more often reported after patient contact (63.0% and 37.0%) in urban compared with rural hospitals, respectively. This may suggest that higher exposure during non-work times in high incidence urban areas counteracts higher work protection levels of HCWs.

High SARS-CoV-2 seropositivity indicates widespread transmission of the virus in this region of DRC. Given the absence of publicly reported cases during the same time period at the rural sites, serological studies are very relevant in revealing infection dynamics especially in regions with low diagnostic capacities. This, and discrepancies in the application of PPE between urban and rural sites, should be considered in future pandemic response programmes.

To assess the impact of the COVID-19 pandemic on prescription drug use and costs.

Interrupted time series analysis of comprehensive administrative health data linkages in British Columbia, Canada, from 1 January 2018 to 28 March 2021.

Retrospective population-based analysis of all prescription drugs dispensed in community pharmacies and outpatient hospital pharmacies and irrespective of the drug insurance payer.

Between 4.30 and 4.37 million individuals (52% women) actively registered with the publicly funded medical services plan.

COVID-19 pandemic and associated mitigation measures.

Weekly dispensing rates and costs, both overall and stratified by therapeutic groups and pharmacological subgroups, before and after the declaration of the public health emergency related to the COVID-19 pandemic. Relative changes in post-COVID-19 outcomes were expressed as ratios of observed to expected rates.

After the onset of the pandemic and subsequent COVID-19 mitigation measures, overall medication dispensing rates dropped by 2.4% (p

The COVID-19 pandemic impact on prescription drug dispensing was heterogeneous across medication subgroups. As data become available, dispensing trends in nervous system agents, antibiotics and antivirals warrant further monitoring and investigation.

Third delay refers to delays in delivering requisite care to patients after they arrive at a health facility. In low-resource care settings, effective triage and flow of care are difficult to guarantee. In this study, we aimed to identify delays in the delivery of care to critically ill patients and possible ways to address these delays.

This was an exploratory qualitative study using in-depth interviews and patient journeys. The qualitative data were transcribed and aggregated into themes in NVivo V.12 Plus using inductive and deductive approaches.

This study was conducted in four secondary-level public Kenyan hospitals across four counties between March and December 2021. The selected hospitals were part of the Clinical Information Network.

Purposive sampling method was used to identify administrative and front-line healthcare providers and patients. We conducted 12 in-depth interviews with 11 healthcare workers and patient journeys of 7 patients. Informed consent was sought from the participants and maintained throughout the study.

We identified a cycle of suboptimal systems for care with adaptive mechanisms that prevent quality care to critically ill patients. We identified suboptimal systems for identification of critical illness, inadequate resources for continuity care and disruption of the flow of care, as the major causes of delays in identification and the initiation of essential care to critically ill patients. Our study also illuminated the contribution of inflexible bureaucratic non-clinical business-related organisational processes to third delay.

Eliminating or reducing delays after patients arrive at the hospital is a time-sensitive measure that could improve the care outcomes of critically ill patients. This is achievable through an essential emergency and critical care package within the hospitals. Our findings can help emphasise the need for standardised effective and reliable care priorities to maintain of care of critically ill patients.

To depict the seasonality and age variations of community-acquired pneumonia (CAP) incidence in the context of the COVID-19 impact.

Retrospective cohort study.

The observational cohort study was conducted at Soochow University Affiliated Children’s Hospital from January 2017 to June 2021 and involved 132 797 children born in 2017 or 2018. They were followed and identified CAP episodes by screening on the Health Information Systems of outpatients and inpatients in the same hospital.

The CAP episodes were defined when the diagnoses coded as J09–J18 or J20–J22. The incidence of CAP was estimated stratified by age, sex, birth year, health status group, season and month, and the rate ratio was calculated and adjusted by a quasi-Poisson regression model. Stratified analysis of incidence of CAP by birth month was conducted to understand the age and seasonal variation.

The overall incidence of CAP among children aged ≤5 years was 130.08 per 1000 person years. Children aged ≤24 months have a higher CAP incidence than those aged >24 months (176.84 vs 72.04 per 1000 person years, p

The burden of CAP among children is considerable. The incidence of CAP among children ≤5 years varied by age and season and decreased during COVID-19 lockdown.