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Full-Text Articles in Medicine and Health Sciences

You Missed A Spot! Disinfecting Shared Mobile Phones, Roberta Basol, Jean Beckel, Judy Gildsdorf-Gracie, Amy Hilleren-Listerud, Terri Mccaffrey, Sherri Reischl, Pamela Rickbeil, Mary Schimnich, Kirsten Skillings, Mary A. Struffert Jul 2013

You Missed A Spot! Disinfecting Shared Mobile Phones, Roberta Basol, Jean Beckel, Judy Gildsdorf-Gracie, Amy Hilleren-Listerud, Terri Mccaffrey, Sherri Reischl, Pamela Rickbeil, Mary Schimnich, Kirsten Skillings, Mary A. Struffert

Articles

The use of portable mobile devices has facilitated timely communication among healthcare team members. It's now a common practice for hospital-owned mobile phones to be shared among healthcare employees from shift to shift. Despite the benefit of increased, timely communication between caregivers, sharing mobile devices can lead to the spread of healthcare-associated infections (HAIs). This article looks at the efficacy of two types of cleaning products on shared mobile phones carried by RNs at a 489-bed, Magnet-designated, Midwestern regional medical center. The cleaning methods evaluated were 70% isopropyl alcohol wipes and ethyl alcohol wipes.


Comparison Of Manual Versus Automated Data Collection Method For An Evidence-Based Nursing Practice Study, Matthew D. Byrne, T R. Jordan, Tamara Welle Feb 2013

Comparison Of Manual Versus Automated Data Collection Method For An Evidence-Based Nursing Practice Study, Matthew D. Byrne, T R. Jordan, Tamara Welle

Articles

OBJECTIVE:

The objective of this study was to investigate and improve the use of automated data collection procedures for nursing research and quality assurance.

METHODS:

A descriptive, correlational study analyzed 44 orthopedic surgical patients who were part of an evidence-based practice (EBP) project examining post-operative oxygen therapy at a Midwestern hospital. The automation work attempted to replicate a manually-collected data set from the EBP project.

RESULTS:

Automation was successful in replicating data collection for study data elements that were available in the clinical data repository. The automation procedures identified 32 "false negative" patients who met the inclusion criteria described in …