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Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols

AIM: The study aim was to evaluate if continual patient position monitoring, taking into account self‐turns and clinician‐assisted turns, would increase the percentage of time a patient's position changed at least every 2 hr. BACKGROUND: While patient turning has clinical benefits, current mode...

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Autores principales: Schutt, Suann Cirigliano, Tarver, Christine, Pezzani, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762718/
https://www.ncbi.nlm.nih.gov/pubmed/29344391
http://dx.doi.org/10.1002/nop2.105
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author Schutt, Suann Cirigliano
Tarver, Christine
Pezzani, Michelle
author_facet Schutt, Suann Cirigliano
Tarver, Christine
Pezzani, Michelle
author_sort Schutt, Suann Cirigliano
collection PubMed
description AIM: The study aim was to evaluate if continual patient position monitoring, taking into account self‐turns and clinician‐assisted turns, would increase the percentage of time a patient's position changed at least every 2 hr. BACKGROUND: While patient turning has clinical benefits, current models to help staff remember to turn patients, such as “turn clocks” and timers, have not resulted in high compliance with turning protocols. In addition, reminders are based on arbitrary 2‐hr windows (such as turning on “even” hours) rather than on individual patient activity, including self‐turns. DESIGN: This is a first inpatient, non‐randomized, pre‐/postintervention study. METHODS: Data collection occurred from May 2013–February 2014 on a 39‐bed medical unit in a community hospital. Baseline patient turning data were recorded by a sensor; however, the patient data were not displayed at the nurses’ station to establish compliance with the hospital's turning protocol. Postintervention, patient position information was wirelessly displayed on nurses’ station computer monitors in real time. A Student t test was used to compare baseline to postintervention “mean time in compliance.” RESULTS: Data from 138 patients (N = 7,854 hr of monitoring) were collected. The baseline phase yielded 4,322 hr of position monitoring data and the postintervention phase yielded 3,532 hr of data. Statistically significant improvement was demonstrated in the percentage of time a patient's position changed at least every 2 hr from baseline to postintervention.
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spelling pubmed-57627182018-01-17 Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols Schutt, Suann Cirigliano Tarver, Christine Pezzani, Michelle Nurs Open Research Articles AIM: The study aim was to evaluate if continual patient position monitoring, taking into account self‐turns and clinician‐assisted turns, would increase the percentage of time a patient's position changed at least every 2 hr. BACKGROUND: While patient turning has clinical benefits, current models to help staff remember to turn patients, such as “turn clocks” and timers, have not resulted in high compliance with turning protocols. In addition, reminders are based on arbitrary 2‐hr windows (such as turning on “even” hours) rather than on individual patient activity, including self‐turns. DESIGN: This is a first inpatient, non‐randomized, pre‐/postintervention study. METHODS: Data collection occurred from May 2013–February 2014 on a 39‐bed medical unit in a community hospital. Baseline patient turning data were recorded by a sensor; however, the patient data were not displayed at the nurses’ station to establish compliance with the hospital's turning protocol. Postintervention, patient position information was wirelessly displayed on nurses’ station computer monitors in real time. A Student t test was used to compare baseline to postintervention “mean time in compliance.” RESULTS: Data from 138 patients (N = 7,854 hr of monitoring) were collected. The baseline phase yielded 4,322 hr of position monitoring data and the postintervention phase yielded 3,532 hr of data. Statistically significant improvement was demonstrated in the percentage of time a patient's position changed at least every 2 hr from baseline to postintervention. John Wiley and Sons Inc. 2017-10-26 /pmc/articles/PMC5762718/ /pubmed/29344391 http://dx.doi.org/10.1002/nop2.105 Text en © 2017 The Authors. Nursing Open published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Schutt, Suann Cirigliano
Tarver, Christine
Pezzani, Michelle
Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols
title Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols
title_full Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols
title_fullStr Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols
title_full_unstemmed Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols
title_short Pilot study: Assessing the effect of continual position monitoring technology on compliance with patient turning protocols
title_sort pilot study: assessing the effect of continual position monitoring technology on compliance with patient turning protocols
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762718/
https://www.ncbi.nlm.nih.gov/pubmed/29344391
http://dx.doi.org/10.1002/nop2.105
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