Search

Introduction: Cases of female targeted violence often go uncounted in India. To identify the unreported cases of violence, Sukoon was established in 2014 as a hospital-based 'One Stop Crisis Centre' (OSCC). Sukoon provides counselling, police assistance and legal aid to the victims. The aim of the present study was to recognize the role of Sukoon in preventing violence against women (VAW) in the region. Methods: Secondary data was extracted from 430 victims who approached Sukoon from August 2014 through January 2017. Data was collected on different variables: age, marital status, nature of violence, medium through which victims approached Sukoon and type of assistance provided. Significance of association of studied factors with the type of assault was investigated usi ng 2 test. Results: Age of study-victims ranged from 4 to 75 years with a median age of 26 years and mean age of 27.61 years with standard deviation of 10.56 years. Major types of VAW (96.51%) were domestic violence, sexual assault, physical assault and poisoning. The types of violences were significantly associated with victims' age (2 =5.76, d.f.=1, p<0.05) and marital status (2 = 98.23, d.f=4, p<0.001). About 78% of victims were identified from Sukoon through screening and counseling. Around 69% of the cases were resolved directly by Sukoon or through police assistance. Conclusion: The above results indicate a significant role of Sukoon in screening victims of violence and providing them required assistance within the hospital environment in one location. Such centers should be further promoted by the government to address the issues of VAW. [ABSTRACT FROM AUTHOR]

Background and Objectives: Candidaemia is a potentially life-threatening emergency in the intensive care units (ICUs). Surveillance using common protocols in a large network of hospitals would give meaningful estimates of the burden of candidaemia and central line associated candidaemia in low resource settings. We undertook this study to understand the burden and epidemiology of candidaemia in multiple ICUs of India, leveraging the previously established healthcare-associated infections (HAI) surveillance network. Our aim was also to assess the impact that the pandemic of COVID-19 had on the rates and associated mortality of candidaemia., Methods: This study included adult patients from 67 Indian ICUs in the AIIMS-HAI surveillance network that conducted BSI surveillance in COVID-19 and non-COVID-19 ICUs during and before the COVID-19 pandemic periods. Hospitals identified healthcare-associated candidaemia and central line associated candidaemia and reported clinical and microbiological data to the network as per established and previously published protocols., Results: A total of 401,601 patient days and 126,051 central line days were reported during the study period. A total of 377 events of candidaemia were recorded. The overall rate of candidaemia in our network was 0.93/1000 patient days. The rate of candidaemia in COVID-19 ICUs (2.52/1000 patient days) was significantly higher than in non-COVID-19 ICUs (1.05/patient days) during the pandemic period. The rate of central line associated candidaemia in COVID-19 ICUs (4.53/1000 central line days) was also significantly higher than in non-COVID-19 ICUs (1.73/1000 central line days) during the pandemic period. Mortality in COVID-19 ICUs associated with candidaemia (61%) was higher than that in non-COVID-19 ICUs (41%). A total of 435 Candida spp. were isolated. C. tropicalis (26.7%) was the most common species. C. auris accounted for 17.5% of all isolates and had a high mortality., Conclusion: Patients in ICUs with COVID-19 infections have a much higher risk of candidaemia, CLAC and its associated mortality. Network level data helps in understanding the true burden of candidaemia and will help in framing infection control policies for the country., (© 2024 Wiley‐VCH GmbH. Published by John Wiley & Sons Ltd.)

Purpose: Use of technology for quality healthcare services has developed into a new field known as "e-Healthcare services." Healthcare providers often judge their quality of services with consumer satisfaction. With e-Healthcare services, consumer satisfaction is influenced by the quality of healthcare services provided and the demographic characteristics. The purpose of the present case study is to recognize the important predictors of quality, which are significant for consumer satisfaction with e-Healthcare services by using Zineldin's 5Qs model. It also aims to find the strength of association among the predictors of consumer satisfaction and the demographic characteristics of the respondents., Design/methodology/approach: A questionnaire-based study was conducted at a public (PGIMER, Chandigarh) and a private hospital (Fortis Hospital, Mohali) of Punjab, India, from February 2018 to March 2019. The structured, closed-ended questionnaire, to be marked on a 1-5 point Likert scale, was adapted from Zineldin's 5Qs model and was distributed to the respondents sitting in the waiting halls of the selected hospitals. The respondents comprised of both the patients and their attendants who were aware of e-Healthcare services and were using them., Findings: The analysis identified quality of interaction, quality of hospital atmosphere and quality of object to be the key predictors of consumer satisfaction with e-Healthcare services. The results reveal a strong association between different demographic characteristics and overall consumer satisfaction with e-Healthcare services., Practical Implications: The results suggest that improvements in the quality of interaction, quality of hospital atmosphere and quality of object may result in higher consumer satisfaction with e-Healthcare services. Working on the identified dimensions of quality will help the e-Healthcare providers in identifying functional problems of e-Healthcare services and developing improvement strategies, which will also result in better health and quality outcomes. The results of this study will help the e-Healthcare providers in better segmentation of e-Healthcare consumers based on their demographic characteristics and in developing better marketing strategies., Originality/value: This paper focuses on the quality of e-Healthcare services only and attempts to identify the quality dimensions, which leads to the satisfaction of e-Healthcare consumers. The identified quality dimensions will help in designing better e-Healthcare services and framing policies. It also highlights the association of demographic characteristics with important quality dimensions., (© Emerald Publishing Limited.)