Background: Healthcare associated infections (HAIs) are prevalent and difficult to treat worldwide. Most HAIs can be prevented by effective implementation of Infection Prevention and Control (IPC) measures. A survey was conducted to assess the existing IPC practices across a network of Indian Hospitals using the World Health Organization designed self-assessment IPC Assessment Framework (IPCAF) tool.
Methods: This was a cross sectional observation study. Thirty-two tertiary care public and private facilities, part of the existing Indian HAI surveillance network was included. Data collected was analyzed by a central team at All India Institute of Medical Sciences, New Delhi, a tertiary care hospital of India. The WHO questionnaire tool was used to understand the capacity and efforts to implement IPC practices across the network.
Results: The overall median score of IPCAF across the network was 620. Based on the final IPCAF score of the facilities; 13% hospitals had basic IPC practices, 28% hospitals had intermediate and 59% hospitals had advanced IPC practices. The component multimodal strategies had the broadest range of score while the component IPC guidelines had the narrowest one.
Conclusions: Quality improvement training for IPC nurses and healthcare professionals are needed to be provided to health facilities.
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http://dx.doi.org/10.1016/j.ajic.2021.09.019 | DOI Listing |
Eur J Gen Pract
December 2025
Department of Public Health and Primary Care, Ghent University, Gent, Belgium.
Background: The transition from trainee to professional marks a key milestone in a family doctor's career, bringing both emotional and mental challenges. This critical period of specialisation shapes how young doctors adapt and influences their future career choices.
Objectives: We explored trainees' experiences during their first year of advanced medical training in family medicine/general practice, including barriers and facilitators.
Int J Environ Res Public Health
November 2024
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia.
Background: Adverse childhood experiences (ACEs) are a major risk factor for mental disorders in children. Parenting interventions can mitigate the impact of family-level ACEs and subsequently improve young people's mental health. However, a substantial research-to-practice gap hinders access to, and uptake of, available interventions.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
King Abdullah International Medical Research Center, Riyadh 11481, Saudi Arabia.
: Infection prevention and control (IPC) is essential to ensure the safety of dental personnel and patients. This study aimed to assess the knowledge and compliance of dental undergraduate students, interns, and postgraduate students with IPC measures in prosthodontic procedures. : A cross-sectional observational study was conducted at the College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, involving 216 participants selected using stratified random sampling.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Nutritional and Metabolic Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Fangcun Mingxin Road, Liwan District, Guangzhou, 510370, China.
Background: The practical application of infectious disease emergency plans in mental health institutions during the ongoing pandemic has revealed significant shortcomings. These manifest as chaotic management of mental health care, a lack of hospital infection prevention and control (IPC) knowledge among medical staff, and unskilled practical operation. These factors result in suboptimal decision-making and emergency response execution.
View Article and Find Full Text PDFPLoS One
December 2024
Departamento de Economía y Empresa, Universidad de Almería (UAL), Almería, España.
This paper introduces two new goodness-of-fit tests for the geometric distribution based on discrete adaptations of the Watson W2 and Anderson-Darling A2 statistics, where the probability of success is unknown. Although these tests are widely applied to continuous distributions, their application in discrete models has been relatively unexplored. Our study addresses this need by developing a robust statistical framework specifically for discrete distributions, particularly the geometric distribution.
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