Using wearable technology to prevent pressure injuries: An integrative review.

BACKGROUND: Hospital-acquired pressure injuries (HAPIs) are a significant problem for hospitals worldwide, negatively affecting patients and organizations by decreasing quality of life and increasing organizational cost of care and workload. A common pressure injury prevention intervention is frequent turning, though compliance can be low. As a newer technology, wearable sensors have emerged as an intervention to increase turn compliance. AIMS: The aim of this integrative review was to determine the clinical outcomes of using wearable sensors as a HAPI prevention intervention. METHODS: This integrative review was appraised by two independent reviewers using the Johns Hopkins Nursing Evidence-Based Practice Research Appraisal Tool. RESULTS: Eleven articles were included. The use of wearable sensors increases compliance with frequent turn protocols while decreasing HAPIs and reducing organizational costs. Despite this, the use of such technology was not found to increase the quality of turns. Although staff who used this technology reported positive feedback, technological training is needed to ensure proper use of the sensors. LINKING ACTION TO PRACTICE: This innovation has the potential to transform how nursing staff prevent pressure injuries, but more research is needed to definitively state whether wearable sensors will be efficacious as a pressure injury prevention intervention.

Airmen and health-care providers' attitudes toward the use of genomic sequencing in the US Air Force: findings from the MilSeq Project.

PURPOSE: The use of genomic sequencing (GS) in military settings poses unique considerations, including the potential for GS to impact service members' careers. The MilSeq Project investigated the use of GS in clinical care of active duty Airmen in the United States Air Force (USAF). METHODS: We assessed perceived risks, benefits, and attitudes toward use of GS in the USAF among patient participants (n = 93) and health-care provider participants (HCPs) (n = 12) prior to receiving or disclosing GS results. RESULTS: Participants agreed that there are health benefits associated with GS (90% patients, 75% HCPs), though more HCPs (75%) than patients (40%) agreed that there are risks (p = 0.048). The majority of both groups (67% HCPs, 77% patients) agreed that they trust the USAF with genetic information, but far fewer agreed that genetic information should be used to make decisions about deployment (5% patients, 17% HCPs) or duty assignments (3% patients, 17% HCPs). Despite their hesitancy, patients were supportive of the USAF testing for nondisease traits that could impact their duty performance. Eighty-seven percent of patients did not think their GS results would influence their career. CONCLUSION: Results suggest favorable attitudes toward the use of GS in the USAF when not used for deployment or assignment decisions.

Automated typing of red blood cell and platelet antigens from whole exome sequences.

BACKGROUND: Genotyping has expanded the number red blood cell (RBC) and platelet (PLT) antigens that can readily be typed, but often represents an additional testing cost. The analysis of existing genomic data offers a cost-effective approach. We recently developed automated software (bloodTyper) for determination of RBC and PLT antigens from whole genome sequencing. Here we extend the algorithm to whole exome sequencing (WES). STUDY DESIGN AND METHODS: Whole exome sequencing was performed on samples from 75 individuals. WES-based bloodTyper RBC and PLT typing was compared to conventional polymerase chain reaction (PCR) RHD zygosity testing and serologic and single-nucleotide polymorphism (SNP) typing for 38 RBC antigens in 12 systems (17 serologic and 35 SNPs) and 22 PLT antigens (22 SNPs). Samples from the first 20 individuals were used to modify bloodTyper to interpret WES followed by blinded typing of 55 samples. RESULTS: Over the first 20 samples, discordances were noted for C, M, and N antigens, which were due to WES-specific biases. After modification, bloodTyper was 100% accurate on blinded evaluation of the last 55 samples and outperformed both serologic (99.67% accurate) and SNP typing (99.97% accurate) reflected by two Fyb and one N serologic typing errors and one undetected SNP encoding a Jknull phenotype. RHD zygosity testing by bloodTyper was 100% concordant with a combination of hybrid Rhesus box PCR and PCR-restriction fragment length polymorphism for all samples. CONCLUSION: The automated bloodTyper software was modified for WES biases to allow for accurate RBC and PLT antigen typing. Such analysis could become a routing part of future WES efforts.