Dataset Information

Prevalence of COVID-19 infection in black people in primary health care, hospital units and intensive care units: a protocol for a systematic review and meta-analysis.

ABSTRACT:

Introduction

COVID-19 pandemic has affected people all over the world. In this context, health disparities are already evident in becoming ill and dying from this condition, further accentuating historical racial inequalities.

Methods and analysis

This protocol will be developed based on the recommendations of Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. For this, searches will be carried out in PubMed, Web of Science, Scopus, Lilacs and ScienceDirect databases searching for cross-sectional studies that assessed the prevalence of black people with COVID-19 at different levels of complexity. All cross-sectional studies that analysed the prevalence of COVID-19 in black people assisted in primary care, hospital wards and intensive care units will be included. The research will be carried out by two independent researchers who will identify the articles; they will exclude duplicate studies. Through blind evaluation, they will select the articles using the Rayyan QCRI application. The instrument proposed by Downs and Black will be used to assess the risk of bias. The meta-analyses will be performed according to the data conditions included.

Ethics and dissemination

For this study's development, there is no need for an ethical appraisal considering that it is a systematic review that will use secondary studies. This study's findings will be disseminated through peer-reviewed publications, conference presentations and condensed summaries for main stakeholders and partners in the field. The database search is expected to begin on 1 February 2021. It is expected to complete the entire review process by 30 October 2021 TRIAL REGISTRATION NUMBER: CRD42020209079.

SUBMITTER: de Souza TA

PROVIDER: S-EPMC7907828 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence of COVID-19 infection in black people in primary health care, hospital units and intensive care units: a protocol for a systematic review and meta-analysis.

de Souza Talita Araujo TA Silva Pedro Henrique Alcântara da PHAD Galvão Maria Helena Rodrigues MHR Nunes Aryelly Dayane da Silva ADDS Oliveira Viana Pereira Dalyanna Mildred de DM Medeiros Arthur de Almeida AA Barbosa Isabelle Ribeiro IR Torres Gilson de Vasconcelos GV

BMJ open 20210224 2

<h4>Introduction</h4>COVID-19 pandemic has affected people all over the world. In this context, health disparities are already evident in becoming ill and dying from this condition, further accentuating historical racial inequalities.<h4>Methods and analysis</h4>This protocol will be developed based on the recommendations of Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. For this, searches will be carried out in PubMed, Web of Science, Scopus, Lilacs and ScienceDir ...[more]

PMID: 33627354

Similar Datasets

Project description:BackgroundTelemedicine has been deployed to address issues in intensive care delivery, as well as to improve outcome and quality of care. Implementation of this technology has been characterized by high variability. Tele-intensive care unit (ICU) interventions involve the combination of multiple technological and organizational components, as well as interconnections of key stakeholders inside the hospital organization. The extensive literature on the benefits of tele-ICUs has been characterized as heterogeneous. On one hand, positive clinical and economical outcomes have been shown in multiple studies. On the other hand, no tangible benefits could be detected in several cases. This could be due to the diverse forms of organizations and the fact that tele-ICU interventions are complex to evaluate. The implementation context of tele-ICUs has been shown to play an important role in the success of the technology. The benefits derived from tele-ICUs depend on the organization where it is deployed and how the telemedicine systems are applied. There is therefore value in analyzing the benefits of tele-ICUs in relation to the characteristics of the organization where it is deployed. To date, research on the topic has not provided a comprehensive overview of literature taking both the technology setup and implementation context into account.ObjectiveWe present a protocol for a scoping review of the literature on telemedicine in the ICU and its benefits in intensive care. The purpose of this review is to map out evidence about telemedicine in critical care in light of the implementation context. This review could represent a valuable contribution to support the development of tele-ICU technologies and offer perspectives on possible configurations, based on the implementation context and use case.MethodsWe have followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist and the recommendations of the Joanna Briggs Institute methodology for scoping reviews. The scoping review and subsequent systematic review will be completed by spring 2021.ResultsThe preliminary search has been conducted. After removing all duplicates, we found 2530 results. The review can now be advanced to the next steps of the methodology, including literature database queries with appropriate keywords, retrieval of the results in a reference management tool, and screening of titles and abstracts.ConclusionsThe results of the search indicate that there is sufficient literature to complete the scoping review. Upon completion, the scoping review will provide a map of existing evidence on tele-ICU systems given the implementation context. Findings of this research could be used by researchers, clinicians, and implementation teams as they determine the appropriate setup of new or existing tele-ICU systems. The need for future research contributions and systematic reviews will be identified.International registered report identifier (irrid)DERR1-10.2196/19695.

Project description:Importance:Infection is frequent among patients in the intensive care unit (ICU). Contemporary information about the types of infections, causative pathogens, and outcomes can aid the development of policies for prevention, diagnosis, treatment, and resource allocation and may assist in the design of interventional studies. Objective:To provide information about the prevalence and outcomes of infection and the available resources in ICUs worldwide. Design, Setting, and Participants:Observational 24-hour point prevalence study with longitudinal follow-up at 1150 centers in 88 countries. All adult patients (aged ?18 years) treated at a participating ICU during a 24-hour period commencing at 08:00 on September 13, 2017, were included. The final follow-up date was November 13, 2017. Exposures:Infection diagnosis and receipt of antibiotics. Main Outcomes and Measures:Prevalence of infection and antibiotic exposure (cross-sectional design) and all-cause in-hospital mortality (longitudinal design). Results:Among 15?202 included patients (mean age, 61.1 years [SD, 17.3 years]; 9181 were men [60.4%]), infection data were available for 15?165 (99.8%); 8135 (54%) had suspected or proven infection, including 1760 (22%) with ICU-acquired infection. A total of 10?640 patients (70%) received at least 1 antibiotic. The proportion of patients with suspected or proven infection ranged from 43% (141/328) in Australasia to 60% (1892/3150) in Asia and the Middle East. Among the 8135 patients with suspected or proven infection, 5259 (65%) had at least 1 positive microbiological culture; gram-negative microorganisms were identified in 67% of these patients (n?=?3540), gram-positive microorganisms in 37% (n?=?1946), and fungal microorganisms in 16% (n?=?864). The in-hospital mortality rate was 30% (2404/7936) in patients with suspected or proven infection. In a multilevel analysis, ICU-acquired infection was independently associated with higher risk of mortality compared with community-acquired infection (odds ratio [OR], 1.32 [95% CI, 1.10-1.60]; P?=?.003). Among antibiotic-resistant microorganisms, infection with vancomycin-resistant Enterococcus (OR, 2.41 [95% CI, 1.43-4.06]; P?=?.001), Klebsiella resistant to ?-lactam antibiotics, including third-generation cephalosporins and carbapenems (OR, 1.29 [95% CI, 1.02-1.63]; P?=?.03), or carbapenem-resistant Acinetobacter species (OR, 1.40 [95% CI, 1.08-1.81]; P?=?.01) was independently associated with a higher risk of death vs infection with another microorganism. Conclusions and Relevance:In a worldwide sample of patients admitted to ICUs in September 2017, the prevalence of suspected or proven infection was high, with a substantial risk of in-hospital mortality.

Project description:BackgroundDelirium is a brain dysfunction syndrome, which children have a higher incidence. At present, there have been more and more studies and reports on delirium in paediatric intensive care unit, but there are some differences in the risk factor results among different studies. To better manage delirium, this study was performed.ObjectiveTo integrate and clarify the risk factors for delirium in paediatric intensive care unit.MethodsCNKI, CBMdisc, Wanfang Data Knowledge Service Platform, VIP, PubMed, Embase, Cochrane Library, JBI and PsycInfo were searched for relevant literature. The study subjects were patients in PICU and literature was included according to the PICOS principle. Literature screening and risk of bias assessment were mainly completed by two researchers, and RevMan 5.3 software and Stata software were used for data analysis. The GRADE systerm was used to assess the quality of evidence.ResultsA total of 10 studies were included, all in English, involving 4343 children. Within the GRADE system, 4 indicators were scored A, 1 indicators were scored B, and 3 indicators were scored C regarding evidence levels. Three studies analysed the influence of developmental delay on the occurrence of delirium in PICU, total sample size of which was 1823, and the results showed that the combined effect was statistically significant [OR = 3.34, 95%CI(2.46-4.53), Z = 7.75, P<0.001]; Five studies analysed the effects of mechanical ventilation on the occurrence of delirium in PICU, sample size of which was 1562, and the results showed that the combined effect was statistically significant [OR = 4.11, 95%CI(3.13-5.40), Z = 10.16, P<0.001]; Two studies analysed the effects of benzodiazepines on children developing delirium, sample size of which was 1635, and the results showed that the combined effect was statistically significant [OR = 5.05, 95%CI(3.65-6.97), Z = 9.83, P<0.001]; Two studies analysed the effects of anticholinergic drug use on children developing delirium in PICU, sample size of which was 1703, and the results suggested the combined effect was statistically significant [OR = 5.04, 95%CI (3.62-7.00), Z = 9.63, P<0.001]; Two studies compared the same age period, sample size of which was 1724 and the results showed that children 2-5 years old has a 48% incidence rate of delirium relative to children younger than 2 years old, and the combined effect was statistically significant [OR = 0.48, 95%CI(0.25-0.92), Z = 2.22, P = 0.030], children 5-13 years old has a 39% incidence rate of delirium relative to children younger than 2 years old, and the combined effect was statistically significant [OR = 0.39, 95%CI(0.26-0.59), Z = 4.43, P<0.001]. Two studies analysed the effects of PICU LOS on children developing delirium and the combined effect of PICU LOS on the occurrence of delirium in children in PICU was statistically significant [OR = 1.10, 95%CI(1.05-1.15), Z = 4.07, P<0.001].ConclusionDevelopmental delay, mechanical ventilation, benzodiazepine use, anticholinergic use, age and PICU length of stay are independent risk factors for delirium in children in PICU. However, only a few articles were included in this study, which may lead to a certain bias and affect the analysing results. More large-sample, multicentre studies should be conducted to further explore and clarify the independent influencing factors of delirium in children in PICU and to provide guidance for clinical practice.

Dataset Information

Prevalence of COVID-19 infection in black people in primary health care, hospital units and intensive care units: a protocol for a systematic review and meta-analysis.

Introduction

Methods and analysis

Ethics and dissemination

Publications

Prevalence of COVID-19 infection in black people in primary health care, hospital units and intensive care units: a protocol for a systematic review and meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets