Design Concept for a Location-Based Hazard Vulnerability Assessment Tool for Healthcare Facilities

2020 ◽  
Vol 41 (S1) ◽  
pp. s8-s10
Author(s):  
Julia Johnson ◽  
Asad Latif ◽  
Bharat Randive ◽  
Abhay Kadam ◽  
Uday Rajput ◽  
...  

Background: In low- and middle-income country (LMIC) healthcare facilities, gaps in infection prevention and control (IPC) practices increase risk of healthcare-associated infections (HAIs) and mortality among hospitalized neonates. Method: In this quasi-experimental study, we implemented the Comprehensive Unit-based Safety Program (CUSP) to improve adherence to evidence-based IPC practices in neonatal intensive care units (NICUs) in 4 tertiary-care facilities in Pune, India. CUSP is a validated strategy to empower staff to improve unit-level patient safety. Baseline safety culture was measured using the Hospital Survey on Patient Safety Culture (HSOPS). Baseline IPC assessments using the Infection Control Assessment Tool (ICAT) were completed to describe existing IPC practices to identify focus areas, the first of which was hand hygiene (HH). Sites received training in CUSP methodology and formed multidisciplinary CUSP teams, which met monthly and were supported by monthly coaching calls. Staff safety assessments (SSAs) guided selection of multimodal interventions. HH compliance was measured by direct observation using trained external observers. The primary outcome was HH compliance, evaluated monthly during the implementation and maintenance phases. Secondary outcomes included CUSP meeting frequency and HH compliance by healthcare worker (HCW) role. Result: In March 2018, 144 HCWs and administrators participated in CUSP training. Site meetings occurred monthly. During the implementation phase (June 2018–January 2019), HH monitoring commenced, sites formed their teams, completed the SSA, and selected interventions to improve HH based on the WHO’s IPC multimodal improvement strategy: (1) system change; (2) training and education; (3) monitoring and feedback; (4) reminders and communication; and (5) a culture of safety (Fig. 1). During the maintenance phase (February–September 2019), HH was monitored monthly and sites adapted interventions as needed. HH compliance improved from 58% to 70% at participant sites from implementation to maintenance phases (Fig. 2), with an odds ratio (OR) of 1.66 (95% CI, 1.50–1.84; P < .001). HH compliance improved across all HCW roles: (1) physician compliance improved from 55% to 67% (OR, 1.69; 95% CI, 1.42–2.01; P < .001); (2) nurse compliance from 61% to 73% (OR, 1.68; 95% CI, 1.46–1.93; P < .001); and (3) other HCW compliance from 52% to 62% (OR, 1.48; 95% CI, 1.10–1.99; P = .010). Conclusion: CUSP was successfully adapted by 4 diverse tertiary-care NICUs in Pune, India, and it resulted in increased HH compliance at all sites. This multimodal strategy is a promising framework for LMIC healthcare facilities to sustainably address IPC gaps and reduce HAI and mortality in neonates.Funding: NoneDisclosures: Aaron Milstone, Johns Hopkins University, BD (consulting)


2016 ◽  
Vol 127 ◽  
pp. 1-15 ◽  
Author(s):  
Md. Ashraful Islam ◽  
Debashis Mitra ◽  
Ashraf Dewan ◽  
Syed Humayun Akhter

Author(s):  
Andrea Brambilla ◽  
Tian-zhi Sun ◽  
Waleed Elshazly ◽  
Ahmed Ghazy ◽  
Paul Barach ◽  
...  

Healthcare facilities are facing huge challenges due to the outbreak of COVID-19. Around the world, national healthcare contingency plans have struggled to cope with the population health impact of COVID-19, with healthcare facilities and critical care systems buckling under the extraordinary pressures. COVID-19 has starkly highlighted the lack of reliable operational tools for assessing the level sof flexibility of a hospital building to support strategic and agile decision making. The aim of this study was to modify, improve and test an existing assessment tool for evaluating hospital facilities flexibility and resilience. We followed a five-step process for collecting data by (i) doing a literature review about flexibility principles and strategies, (ii) reviewing healthcare design guidelines, (iii) examining international healthcare facilities case studies, (iv) conducting a critical review and optimization of the existing tool, and (v) assessing the usability of the evaluation tool. The new version of the OFAT framework (Optimized Flexibility Assessment Tool) is composed of nine evaluation parameters and subdivided into measurable variables with scores ranging from 0 to 10. The pilot testing of case studies enabled the assessment and verification the OFAT validity and reliability in support of decision makers in addressing flexibility of hospital design and/or operations. Healthcare buildings need to be designed and built based on principles of flexibility to accommodate current healthcare operations, adapting to time-sensitive physical transformations and responding to contemporary and future public health emergencies.


2018 ◽  
Vol 31 (13) ◽  
pp. e5085
Author(s):  
Isil Oz ◽  
Haluk Rahmi Topcuoglu ◽  
Oguz Tosun

2019 ◽  
Vol 11 (3) ◽  
pp. 856 ◽  
Author(s):  
Milena Stevanovic ◽  
Karen Allacker ◽  
Stéphane Vermeulen

With the aim of moving towards a more sustainable society, hospital buildings are challenged to decrease their environmental impact while continuing to offer affordable and qualitative medical care. The aim of this paper was to gain insight into the main drivers of the environmental impacts and costs of healthcare facilities, and to identify methodological obstacles for a quantitative assessment. More specifically, the objective was to assess the environmental and financial impacts of the general hospital Sint Maarten in Mechelen (Belgium) by using a life cycle approach. The hospital building was analyzed based on a combination of a simplified life cycle assessment and life cycle costing. The “MMG+_KULeuven” assessment tool was used for the calculation of environmental impacts and financial costs. The study revealed that the environmental impact was mainly caused by electricity use for appliances and lighting, cleaning processes, material production, and spatial heating, while building construction and electricity use caused the highest financial costs. The most relevant impact categories identified were global warming, eutrophication, acidification, human toxicity (cancer and non-cancer effects), and particulate matter. Various methodological challenges were identified, such as the adaptation of existing methods to ensure applicability to hospital buildings and the extraction of data from a Revit model.


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