paper-with-me

홈 › Papers

Establishing a Learning Model for Correct Hand Hygiene Technique in a NICU

2023-05-02 · Irén A. Kopcsóné Németh, Csaba Nádor, László Szilágyi, Ákos Lehotsky, Tamás Haidegger

The ability of healthcare workers to learn proper hand hygiene has been an understudied area of research. Generally, hand hygiene skills are regarded as a key contributor to reduce critical infections and healthcare-associated infections. In a clinical setup, at a Neonatal Intensive Care Unit (NICU), the outcome of a multi-modal training initiative was recorded, where objective feedback was provided to the staff. It was hypothesized that staff at the NICU are more sensitive towards applying increased patient safety measures. Outcomes were recorded as the ability to cover all hand surfaces with Alcohol-Based Handrub (ABHR), modelled as a time-series of measurements. The learning ability to rub in with 1.5 mL and with 3 mL was also assessed. As a secondary outcome, handrub consumption and infection numbers were recorded. It has been observed that some staff members were able to quickly learn the proper hand hygiene, even with the limited 1.5 mL, while others were not capable of acquiring the technique even with 3 mL. When analyzing the 1.5 mL group, it was deemed an insufficient ABHR amount, while with 3 mL, the critical necessity of skill training to achieve complete coverage was documented. Identifying these individuals helps the infection control staff to better focus their training efforts. The training led to a 157% increase in handrub consumption. The setting of the study did not allow to show a measurable reduction in the number of hospital infections. It has been concluded that the training method chosen by the staff greatly affects the quality of the outcomes.

📄 PDF Abstract BibTeX arXiv:2305.01366

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Feature Identification and Matching for Hand Hygiene Pose

2021-08-14 · Rashmi Bakshi

Three popular feature descriptors of computer vision such as SIFT, SURF, and ORB compared and evaluated. The number of correct features extracted and matched for the original hand hygiene pose-Rub hands palm to palm imag…

A Comparison of Deep Learning Models for the Prediction of Hand Hygiene Videos

2021-11-03 · Rashmi Bakshi

This paper presents a comparison of various deep learning models such as Exception, Resnet-50, and Inception V3 for the classification and prediction of hand hygiene gestures, which were recorded in accordance with the W…

GPU

WHO-Hand Hygiene Gesture Classification System

2021-10-06 · Rashmi Bakshi

The recent ongoing coronavirus pandemic highlights the importance of hand hygiene practices in our daily lives, with governments and worldwide health authorities promoting good hand hygiene practices. More than one milli…

ClassificationTransfer Learning

A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models

2017-05-06 · Michael T. Lash, Jason Slater, Philip M. Polgreen, Alberto M. Segre

This large-scale study, consisting of 24.5 million hand hygiene opportunities spanning 19 distinct facilities in 10 different states, uses linear predictive models to expose factors that may affect hand hygiene complianc…

Hand Hygiene Video Classification Based on Deep Learning

2021-08-18 · Rashmi Bakshi

In this work, an extensive review of literature in the field of gesture recognition carried out along with the implementation of a simple classification system for hand hygiene stages based on deep learning solutions. A …

ClassificationDeep LearningGesture RecognitionVideo Classification