Background: One of the most crucial and essential methods for the prevention and management of respiratory infections is for healthcare professionals to take precautions for their own safety. Using Protection Motivation Theory (PMT), the current study looked into effective elements influencing the staff at Kazeroon's Valiasr Hospital's preventive actions against respiratory diseases.
Methods: One hundred ninety-two male and 108 female employees of the Valiasr Hospital in Kazeroon, Iran, participated in this cross-sectional study, in May 2022. Census data were used as the sample technique. A questionnaire based on the PMT and a questionnaire collecting demographic data served as the data collection method. The study's content validity was confirmed by 10 health education experts, and its reliability was assessed using internal consistency techniques, resulting in a Cronbach's alpha coefficient of 0.87.The statistical program SPSS 24 was used to examine the data using the independent t test, logistic regression, and Pearson correlation.
Results: The average age was 34.11 ± 8.91 for men and 32.77 ± 6.09 for women. The majority of participants were married (73.3%), had university education (76.7%), and earned a monthly income between 10 and 15 million Tomans (75%). Notably, 97.7% of participants had received the COVID-19 vaccine, and 77.7% had undergone training related to respiratory infections. The most common preventive practices included avoiding touching the eyes, noses, or mouths, wearing appropriate protective gear, and maintaining a safe distance of 1-2 m from others. Analysis of PMT constructs showed that participants had a generally positive perception toward preventive behaviors. Perceived vulnerability (P = 0.02), perceived cost (P = 0.03), and motivation (P = 0.001) were the three analyzed components that had the greatest impact on respiratory infection preventative behavior. Logistic regression revealed that perceived susceptibility, cost, and motivation significantly predicted the prevention of respiratory infections, with a predictive power of 45%. These findings highlight the importance of understanding the factors influencing preventive behaviors among hospital staff, from respiratory infections like COVID-19.
Conclusion: According to the findings, the personnel at Kazeroon's Valiasr Hospital wore gloves, goggles, and other appropriate personal protective equipment. The individuals' decision to wear personal protection equipment was also impacted by perceived susceptibility, cost, and motivation.
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http://dx.doi.org/10.1111/crj.13791 | DOI Listing |
Front Immunol
January 2025
Laboratorio de Pediatria Clinica (LIM36), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil.
Introduction: Chemokines and their receptors are essential for leukocyte migration to several tissues, including human milk. Here, we evaluated the homing of T and B lymphocyte subsets to breast milk in response to ongoing respiratory infections in the nursing infant.
Methods: Blood and mature milk were collected from healthy mothers of nurslings with respiratory infections (Group I) and from healthy mothers of healthy nurslings (Group C).
Front Pediatr
January 2025
Department of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Ga-Rankuwa, South Africa.
Introduction: Surveillance of antibiotic use is crucial for identifying targets for antibiotic stewardship programs (ASPs), particularly in pediatric populations within countries like Pakistan, where antimicrobial resistance (AMR) is escalating. This point prevalence survey (PPS) seeks to assess the patterns of antibiotic use in pediatric patients across Punjab, Pakistan, employing the WHO AWaRe classification to pinpoint targets for intervention and encourage rational antibiotic usage.
Methods: A PPS was conducted across 23 pediatric wards of 14 hospitals in the Punjab Province of Pakistan using the standardized Global-PPS methodology developed by the University of Antwerp.
Electronic health records (EHRs) contain rich temporal data about infectious diseases, but an optimal approach to identify infections remains undefined. Using the Research Program, we developed computable phenotypes for respiratory viruses by integrating billing codes, prescriptions, and laboratory results within 90-day episodes. Phenotypes computed from 265,222 participants yielded cohorts ranging from 238 (adenovirus) to 28,729 (SARS-CoV-2) cases.
View Article and Find Full Text PDFInfect Drug Resist
January 2025
Department of Respiratory and Critical Care Medicine, The Affiliated People's Hospital of Ningbo University, Yinzhou People's Hospital, Ningbo, Zhejiang, 315040, People's Republic of China.
Purpose: This study aimed to investigate the impact of herpesvirus detection by metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid (BALF) on lower respiratory tract infections (LRTIs) patients' lung microbiome composition and prognosis.
Patients And Methods: We initially enrolled 234 hospitalized patients with LRTIs who underwent BALF mNGS between February 2022 and May 2023. The study analyzed the clinical manifestations and the pulmonary microbial composition between herpesvirus detection (HD) and non-herpesvirus detection (non-HD) group.
Int J Gen Med
January 2025
Department of Respiratory and Critical Care Medical Department Infectious Diseases Ward, The Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Background: This study examines the distribution characteristics of pathogenic bacteria in respiratory infections and their relationship with inflammatory markers to guide clinical drug use.
Methods: We selected 120 patients with lower respiratory tract infection in the electronic medical record system of Xinjiang Provincial People's Hospital from March 2019 to March 2023 for a case-control study. Using Indirect Immunofluorescence Antibody test(IFA), blood routine, C-reactive Protein (CRP), and High-sensitivity C-reactive Protein(hsCRP), we detected nine respiratory pathogens (Respiratory syncytial virus; Influenza A virus; Influenza B virus; Parainfluenza virus; Adenovirus; Mycoplasma pneumoniae; Chlamydia pneumoniae; Legionella pneumophila type 1; Rickettsia Q) in all patients and analyzed their distribution and correlation.
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