Understanding and Being Understood: Information and Care Needs of 2113 Patients With Confirmed or Suspected COVID-19.
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ABSTRACT:
SUBMITTER: Houben-Wilke S
PROVIDER: S-EPMC8205416 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The Coronavirus Disease-2019 (COVID-19) pandemic has brought catastrophic impact on the world since the beginning of December 2019. Extra precautionary measures against COVID-19 during and after delivery are pivotal to ensure the safety of the baby and health care workers. Based on current literature, it is recommended that delivery decisions be discussed between obstetricians and neonatologists prior to delivery, and designated negative pressure delivery rooms should be arranged for COVID person under investigation (PUI). During delivery, a minimal number of experienced staff attending delivery should don personal protective equipment (PPE) and follow the neonatal resuscitation program (NRP). Positive pressure ventilation is best used in a negative pressure room if available. At-risk babies should be transported in an isolette, and tested for COVID-19 in a negative pressure room soon after bathing. Skin-to-skin contact and breast milk feed should continue under certain circumstances. Although newborns with COVID-19 infections often present with symptoms that mimic sepsis and one third of affected patients may demand some form of respiratory support, short-term prognoses are favorable and most recover within two weeks of symptoms onset. In this article, we will further elaborate on topics covering timing and mode of delivery, antenatal steroid, vertical transmission, delivery room management, airway management, transport, testing and isolation after birth, skin-to-skin contact, breast milk feeding, clinical features, outcomes, and discharge plans. In addition, we also share our experiences of encountering neonates born of suspected COVID-19 positive mothers.
| S-EPMC8231697 | biostudies-literature
Project description:The encounter with the rampant novel Corona virus infection has led the healthcare system across the world to update and modify its tools to fight this pandemic. Pregnancy, childbirth and breast feeding are a set of special situations to be dealt in women afflicted with Covid-19. Currently there is no universal consensus on managing the issue of breast feeding with rooming-in of the neonates in women with suspected or confirmed Covid-19. Literature is still evolving with contradictory guidelines from various authorities across the globe. This review intends to analyse the available evidence on managing breast feeding in such women and to derive a practically plausible approach in handling such situations.
| S-EPMC7340186 | biostudies-literature
Project description:ObjectivesCardiovascular conditions were shown to be predictive of clinical deterioration in hospitalised patients with coronavirus disease 2019 (COVID-19). Whether this also holds for outpatients managed in primary care is yet unknown. The aim of this study was to determine the incremental value of cardiovascular vulnerability in predicting the risk of hospital referral in primary care COVID-19 outpatients.DesignAnalysis of anonymised routine care data extracted from electronic medical records from three large Dutch primary care registries.SettingPrimary care.ParticipantsConsecutive adult patients seen in primary care for COVID-19 symptoms in the 'first wave' of COVID-19 infections (March 1 2020 to June 1 2020) and in the 'second wave' (June 1 2020 to April 15 2021) in the Netherlands.Outcome measuresA multivariable logistic regression model was fitted to predict hospital referral within 90 days after first COVID-19 consultation in primary care. Data from the 'first wave' was used for derivation (n = 5,475 patients). Age, sex, the interaction between age and sex, and the number of cardiovascular conditions and/or diabetes (0, 1, or ≥2) were pre-specified as candidate predictors. This full model was (i) compared to a simple model including only age and sex and its interaction, and (ii) externally validated in COVID-19 patients during the 'second wave' (n = 16,693).ResultsThe full model performed better than the simple model (likelihood ratio test p<0.001). Older male patients with multiple cardiovascular conditions and/or diabetes had the highest predicted risk of hospital referral, reaching risks above 15-20%, whereas on average this risk was 5.1%. The temporally validated c-statistic was 0.747 (95%CI 0.729-0.764) and the model showed good calibration upon validation.ConclusionsFor patients with COVID-19 symptoms managed in primary care, the risk of hospital referral was on average 5.1%. Older, male and cardiovascular vulnerable COVID-19 patients are more at risk for hospital referral.
| S-EPMC9000124 | biostudies-literature
Project description:Purpose: This study aims to characterize the early innate and adaptive responses induced by SARS-CoV-2 infection in children and adults over time up to 8 weeks post symptoms onset (POS). We report the gene signature of COVID-19 over the course of the disease in both age groups. The kinetic of infection was divided in 5-time intervals according to the calculated days POS: interval 1 (0-5), interval 2 (6-14), interval 3 (15-22), interval 4 (23-35), and interval 5 (36-81). Methods: RNA extraction was performed automatically via the PAXgene Blood miRNA Kit and the QIAcube instrument (Qiagen) following the manufacturer’s protocol. RNA concentration and quality were assessed by using the Qubit instrument (Invitrogen) and the Agilent 2100 Bioanalyzer, respectively. The Stranded Total RNA Ribo-Zero Plus kit from Illumina was used for the library preparation with 100 ng of total RNA as input. Library molarity and quality were assessed with the Qubit and Tapestation using a DNA High sensitivity chip (Agilent Technologies). Libraries were pooled at 2 nM for clustering and sequenced on an Illumina HiSeq 4000 sequencer for a minimum of 30 million single-end 100 reads per sample. Main results: (I) we observed an antiviral-IFN-signature and innate-cell-activation within the first 5 days post symptoms onset (POS), while genes associated with CD4 T-cell responses, plasma cells and immunoglobulin were upregulated in both age groups during the first two weeks POS, indicative of SARS-CoV-2-specific adaptive immune responses; (II) in adults, genes associated with IFN antiviral responses and activated dendritic cells were maintained during the second week of disease, and subsided only after 14 days. By contrast, those transcriptome changes subsided already after 5 days in children.
2021-09-22 | GSE166190 | GEO
Project description:BackgroundThe COVID-19 pandemic has caused unprecedented global demand for personal protective equipment (PPE). A paucity of data on PPE burn rate (PPE consumption over time) in pandemic situations exacerbated these issues as there was little historic research to indicate volumes of PPE required to care for surges in infective patients and thus plan procurement requirements.MethodsTo better understand PPE requirements for care of suspected or confirmed COVID-19 patients in our Australian quaternary referral hospital, the number of staff-to-patient interactions in a 24-h period for three patient groups (ward-based COVID suspect, ward-based COVID confirmed, intensive care COVID confirmed) was audited prospectively from 1st to 30th April 2020.ResultsThe average number of staff-to-patient interactions in a 24-h period was: 13.1 ± 5.0 (mean ± SD) for stable ward-managed COVID-19 suspect patients; 11.9 ± 3.8 for stable ward-managed confirmed COVID-19 patients; and 30.0 ± 5.3 for stable, mechanically ventilated, ICU-managed COVID-19 patients. This data can be used in PPE demand simulation modelling for COVID-19 and potentially other respiratory illnesses.ConclusionData on the average number of staff-to-patient interactions needed for the care of COVID-19 patients is presented. This data can be used for PPE demand simulation modelling.
| S-EPMC8064831 | biostudies-literature
Project description:BackgroundA SARS-CoV-2 infection can lead from asymptomatic through to critical disease in a dynamic and unpredictable course within a few days. The challenge in outpatient monitoring the highly contagious COVID-19 disease during the ongoing pandemic is to filter severe courses followed by admission to hospital with the aim of preventing an overburdening of clinics. However, little is known of the effect of risk factors on the course of the infection of outpatient patients. To support general practices in managing high risk patients, we designed a COVID-19 surveillance and care tool (CovidCare). It includes an initial assessment of yet known risk factors and symptoms and a continuous telephone monitoring of signs and symptoms. This study aims to investigate the effects of different risk factors on the course of the COVID-19 disease, utilisation of different health care services and to gain insights into the utilisation of CovidCare in general practices.MethodsWe will conduct a multi-centered prospective, longitudinal non-controlled observational trial of COVID-19 patients in general practices. Overall, 700 GPs who participate in general-practice centered care by the AOK Baden-Württemberg (large German sickness fund) are eligible and will be invited for study participation, including adult, outpatient COVID-19 patients (or urgent suspicion and ≥ 50 years) with at least one additional known risk factor, who participate in general-practice centered care. The primary outcome is hospitalisation due to COVID-19. Secondary outcomes are diagnosis of pneumonia, utilisation of palliative care, mortality rate, anxiety and identification of predictive risk factors. Quantitative data analysis will focus on valid descriptive figures and mixed regression models. The accompanying process evaluation is based on interviews and questionnaires from general practice staff and patients. The analysis of the process evaluation is descriptive and explorative.DiscussionThe use of the COVID-19 surveillance and care tool is expected to encourage the provision of structured quality of care during the ongoing pandemic. This trial will provide an understanding of the COVID-19-disease and the effect of several risk factors on the course of the disease and health care utilisation. The results can be used for a better management of the COVID-19 pandemic and its consequences.Trial registrationGerman Clinical Trials Register DRKS00022054 .
| S-EPMC8412868 | biostudies-literature
Project description:BackgroundA successful public health response during the COVID-19 pandemic pivots on the ability of health care workers (HCWs) to work through immense workplace-related physical and psychological pressures.ObjectiveThe aim of current study was to explore support needs of HCWs during the COVID-19 outbreak in Singapore and to identify implications for practice and workplace policies.MethodsA descriptive qualitative approach was adopted in this study. HCWs from a major public health care cluster in Singapore (n = 612) responded to an open-ended question in an online survey. Results were analyzed using content analysis via an inductive approach.ResultsFive main themes that borrows from Maslow's Hierarchy of Needs emerged from content analysis, with 17 categories under the themes. The 5 main themes are: physical needs, safety needs, love and belonging needs, esteem needs and self-actualization needs.ConclusionsFindings from this study indicate that there were many unmet needs among HCWs during the COVID-19 pandemic. An overview of various need areas identified in this study may guide future research and development of interventions to mitigate the negative impact of disease outbreaks on HCWs.
| S-EPMC9188118 | biostudies-literature
Project description:COVID-19 modified the healthcare system. Nasal-pharyngeal swab (NPS), with real-time reverse transcriptase-polymerase (PCR), is the gold standard for the diagnosis; however, there are difficulties related to the procedure that may postpone it. The study aims to evaluate whether other elements than the PCR-NPS are reliable and confirm the diagnosis of COVID-19. This is a cross-sectional study on data from the Lung Unit of Pavia (confirmed) and at the Emergency Unit of Palermo (suspected). COVID-19 was confirmed by positive NPS, suspected tested negative. We compared clinical, laboratory and radiological variables and performed Logistic regression to estimate which variables increased the risk of COVID-19. The derived ROC-AUCcurve, assessed the accuracy of the model to distinguish between COVID-19 suspected and confirmed. We selected 50 confirmed and 103 suspected cases. High Reactive C-Protein (OR: 1.02; CI95%: 0.11-1.02), suggestive CT-images (OR: 11.43; CI95%: 3.01-43.3), dyspnea (OR: 10.48; CI95%: 2.08-52.7) and respiratory failure (OR: 5.84; CI95%: 1.73-19.75) increased the risk of COVID-19, whereas pleural effusion decreased the risk (OR: 0.15; CI95%: 0.04-0.63). ROC confirmed the discriminative role of these variables between suspected and confirmed COVID-19 (AUC 0.91). Clinical, laboratory and imaging features predict the diagnosis of COVID-19, independently from the NPS result.
| S-EPMC9181151 | biostudies-literature
Project description:We describe implementation and usage of a coronavirus disease 2019 (COVID-19) digital information hub delivered through the widely adopted The Weather Company (TWC) application and explore COVID-19 knowledge, behaviors, and information needs of users. TWC deployed the tool, which displayed local case counts and trends, in March 2020. Unique users, visits, and interactions with tool features were measured. In August 2020, a cross-sectional survey assessed respondent characteristics, COVID-19 knowledge, behaviors, and preferences. TWC COVID-19 hub averaged 1.97 million unique users with over 2.6 million visits daily and an average interaction time of 1.63 min. Respondents reported being knowledgeable about COVID-19 (92.3%) and knowing relevant safety precautions (90.9%). However, an average of 35.3% of respondents reported not increasing preventive practices across behaviors surveyed due to information about COVID-19. In conclusion, we find a free weather application delivered COVID-19 data to millions of Americans. Despite confidence in knowledge and best practices for prevention, over one-third of survey respondents did not increase practice of preventive behaviors due to information about COVID-19.
| S-EPMC9037469 | biostudies-literature
Project description:Backgroundthe aim of this review was to analyze the implementation and impact of remote home monitoring models (virtual wards) for confirmed or suspected COVID-19 patients, identifying their main components, processes of implementation, target patient populations, impact on outcomes, costs and lessons learnt.Methodswe carried out a rapid systematic review on models led by primary and secondary care across seven countries (US, Australia, Canada, The Netherlands, Ireland, China, UK). The main outcomes included in the review were: impact of remote home monitoring on virtual length of stay, escalation, emergency department attendance/reattendance, admission/readmission and mortality. The search was updated on February 2021. We used the PRISMA statement and the review was registered on PROSPERO (CRD: 42020202888).Findingsthe review included 27 articles. The aim of the models was to maintain patients safe in the appropriate setting. Most models were led by secondary care and confirmation of COVID-19 was not required (in most cases). Monitoring was carried via online platforms, paper-based systems with telephone calls or (less frequently) through wearable sensors. Models based on phone calls were considered more inclusive. Patient/career training was identified as a determining factor of success. We could not reach substantive conclusions regarding patient safety and the identification of early deterioration due to lack of standardized reporting and missing data. Economic analysis was not reported for most of the models and did not go beyond reporting resources used and the amount spent per patient monitored.Interpretationfuture research should focus on staff and patient experiences of care and inequalities in patients' access to care. Attention needs to be paid to the cost-effectiveness of the models and their sustainability, evaluation of their impact on patient outcomes by using comparators, and the use of risk-stratification tools.
| S-EPMC8219406 | biostudies-literature