View clinical trials related to Respiratory Tract Infections.
Filter by:Elderly people who have multiple health problems are at higher risk of illness from viral respiratory infections, such as influenza (the flu) and COVID-19. This is especially true for residents in long-term care because the usual methods of infection control (handwashing, mask-wearing, and distancing) are difficult to enforce due to the memory problems of many residents and the frequently shared common spaces. It can also be difficult to prevent the spread of viral infections within long-term care because many residents are unable to tell their caregivers when they are feeling ill. Also, some elderly people do not show typical symptoms of infection (like fever), instead they may suddenly become confused or weak. This study will test if a safe form of ultraviolet light (far-UVC) can be effective as an extra method of disinfection (in addition to usual manual cleaning) against airborne and surface viruses that can cause respiratory infections.
Healthcare workers (HCWs) play a vital role in determining the success of vaccination programs. Patient acceptance and vaccination rely greatly on the utilization and attitude of HCWs towards the vaccine, their attitude also influences patients' adherence to vaccination schedules and their hesitancy. HCWs themselves can be hesitant about a certain vaccine and thus can transfer their negative attitudes to their patients, increasing vaccine hesitancy among the general population. Frontline HCWs are at an increased risk of exposure to COVID-19 due to their direct contact with their patients, working hours, psychological stress and job burnout, they also face stigma. Dental health professionals in particular are at an increased risk due to their occupational hazards that include continuous exposure to body fluids and aerosols, this increases their risk of contracting COVID-19. Therefore vaccinating healthcare workers will be beneficial, not only for themselves, but also for their households and patients.
This study will reach out to patients who have undergone diagnostic testing for the following respiratory illnesses from January 1st, 2018 to July 9th, 2023: COVID-19, Influenza, Rhinovirus, and Respiratory Syncytial Virus. This study aims to develop a forecasting model to predict infection onset prior to symptom onset using wearable device data and known symptom onset and test dates.
Despite the availability of standard pneumonia management guidelines and multiple global efforts, pneumonia continues to be the leading killer of children under five, accounting to around 17% of the total under five deaths globally. In Pakistan, pneumonia contributes to 16% of under five mortality in the country having a well-defined yet poorly functional healthcare system. Although, there are standard set of guidelines for management of pneumonia patients however, the management practices of this illness are variable across the country. This could be attributed to non-availability of work ready graduates which in turn is due to variations of teaching methods across various institutions. Although the medical students across these institutions do get exposed to clinical cases in the final year however, this exposure is also variable. If this clinical experience is coupled with an adjunct capacity building mode using an online platform. there is a possibility that students could be trained in a better way.
This study evaluates the effects of a novel integrated clinical prediction tool on antibiotic prescription patterns of nurses for acute respiratory infections (ARIs). The intervention is an EHR-integrated risk calculator and order set to help guide appropriate, evidence-based antibiotic prescriptions for patients presenting with ARI symptoms.
The purpose of this study is two-fold. In the first phase, the goal is to characterize the stability of respiratory (nasal swab, nasopharyngeal swab, and throat swab; NS, NPS, TS) and stool (raw stool and rectal swab) specimens collected using various standard, medically established procedures with and without transport media and tested at various time points and under different temperature conditions, and also to look at variation between repeat sampling events. The intention is for these data to support decisions made by BioFire regarding the appropriate specimen type and handling guidelines for future tests. In the second phase of the study, collection and transport conditions identified in Phase 1 will be used to collect specimens for pilot performance evaluations of a new molecular diagnostic test.
In the proposed study, the investigators plan to evaluate the efficacy and safety of Piperacillin sodium and sulbactam sodium for injection (2:1) for the treatment of respiratory and urinary tract acute bacterial infection under the widely used in clinical conditions.
Bacteria resistant to antibiotic therapy are a major public health problem. The evolution of multi-drug resistant pathogens may be encouraged by provider prescribing behavior. Inappropriate use of antibiotics for nonbacterial infections and overuse of broad spectrum antibiotics can lead to the development of resistant strains. Though providers are adequately trained to know when antibiotics are and are not comparatively effective, this has not been sufficient to affect critical provider practices. The intent of this study is to apply behavioral economic theory to reduce the rate of antibiotic prescriptions for acute respiratory diagnoses for which guidelines do not call for antibiotics. Specifically targeted are infections that are likely to be viral. The objective of this study is to improve provider decisions around treatment of acute respiratory infections. The participants are practicing attending physicians or advanced practice nurses (i.e. providers) at participating clinics who see acute respiratory infection patients. A maximum of 550 participants will be recruited for this study. Providers consenting to participate will fill out a baseline questionnaire online. Subsequent to baseline data collection and enrollment, participating clinic sites will be randomized to the study arms, as described below. There will be a control arm, with clinic sites randomized in a multifactorial design to up to three interventions that leverage the electronic medical record: Order Sets that are triggered by EHR workflow containing exclusively guideline concordant choices (AP, for Alternative Prescriptions); Justification Alerts triggered by discordant prescriptions that populate the note with provider's rationale for guideline exceptions (JA); and performance feedback that benchmarks providers' own performance to that of their peers (SN, for social norms). The outcomes of interest are antibiotic prescribing patterns, including prescribing rates and changes in prescribing rates over time. The intervention period will be over one year, with a one-year follow up period to measure persistence of the effect after EHR features are returned to the original state and providers no longer receive email alerts.
The purpose of the study is to assess the number of severe, laboratory-confirmed influenza in children hospitalized to paediatric intensive care units. Furthermore, the proportion of these children from all children hospitalized to paediatric intensive care units with acute respiratory infections will be established.