Medical Device-Related Pressure Injuries in Infants and Children.

PURPOSE: The purpose of this study was to describe medical device-related pressure injuries (MDRPIs) in hospitalized pediatric patients. DESIGN: A prospective, descriptive study. SAMPLE/SUBJECTS AND SETTING: The sample comprised 625 patients cared for in 8 US pediatric hospitals. Participants were aged preterm to 21 years, on bed rest for at least 24 hours, and had a medical device in place. METHODS: Two nursing teams, blinded to the other's assessments, worked in tandem to assess pressure injury risk, type of medical devices in use, and preventive interventions for each medical device. They also identified the presence, location, and stage of MDRPI. Subjects were observed up to 8 times over 4 weeks, or until discharge, whichever occurred first. RESULTS: Of 625 enrolled patients, 42 (7%) developed 1 or more MDRPIs. Two-thirds of patients with MDRPIs were younger than 8 years. Patients experiencing MDRPIs had higher acuity scores on hospital admission, were more frequently cognitively and/or functionally impaired, or were extreme in body mass index. Respiratory devices caused the most injuries (6.19/1000 device-days), followed by immobilizers (2.40/1000 device-days), gastric tubes (2.24/1000 device-days), and external monitoring devices (1.77/1000 device-days). Of the 6336 devices in place, 36% did not have an MDRPI preventive intervention in place. Clinical variables contributing to MDRPI development included intensive care unit care (odds ratio [OR] 8.9, 95% confidence interval [CI] 1.9-43.6), use of neuromuscular blockade (OR 3.7, 95% CI 1.7-7.8), and inotropic/vasopressor medications (OR 2.7, 95% CI 1.7-4.3). Multivariable analysis indicated that Braden QD scores alone predicted MDRPI development. CONCLUSION: Medical devices are common in hospitalized infants and children and these medical devices place patients at risk for MDRPI.

Expanding molecular diagnostic capacity for COVID-19 in Ethiopia: operational implications, challenges and lessons learnt.

Efforts towards slowing down coronavirus (COVID-19) transmission and reducing mortality have focused on timely case detection, isolation and treatment. Availability of laboratory COVID-19 testing capacity using reverse-transcriptase polymerase chain reaction (RT-PCR) was essential for case detection. Hence, it was critical to establish and expand this capacity to test for COVID-19 in Ethiopia. To this end, using a three-phrased approach, potential public and private laboratories with RT-PCR technology were assessed, capacitated with trained human resource and equipped as required. These laboratories were verified to conduct COVID-19 testing with quality assurance checks regularly conducted. Within a 10-month period, COVID-19 testing laboratories increased from zero to 65 in all Regional States with the capacity to conduct 18,454 tests per day. The success of this rapid countrywide expansion of laboratory testing capacity for COVID-19 depended on some key operational implications: the strong laboratory coordination network within the country, the use of non-virologic laboratories, investment in capacity building, digitalization of the data for better information management and establishing quality assurance checks. A weak supply chain for laboratory reagents and consumables, differences in the brands of COVID-19 test kits, frequent breakdowns of the PCR machines and inadequate number of laboratory personnel following the adaption of a 24/7 work schedule were some of the challenges experienced during the process of laboratory expansion. Overall, we learn that multisectoral involvement of laboratories from non-health sectors, an effective supply chain system with an insight into the promotion of local production of laboratory supplies were critical during the laboratory expansion for COVID-19 testing. The consistent support from WHO and other implementing partners to Member States is needed in building the capacity of laboratories across different diagnostic capabilities in line with International Health Regulations. This will enable efficient adaptation to respond to future public health emergencies.