Who Is Turning the Patients? A Survey Study

Voz, Anita; Williams, Carol; Wilson, Marian

doi:10.1097/won.0b013e318220b6ec

Cited by 15 publications

(28 citation statements)

References 16 publications

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“…For the first time, a continual position monitoring system was used to accurately and objectively measure compliance with patient turning protocols. The baseline compliance at the study hospital, as objectively determined by continuous position monitoring, was consistent with previous studies (Tucker, and Voz, Williams, & Wilson, ). The baseline phase sample benefitted from the electronic health record worklist reminders to turn patients, yet still had compliance of 64% with 2‐hr turning.…”

Section: Discussionsupporting

confidence: 87%

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

2017

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AimThe 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.BackgroundWhile 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.DesignThis is a first inpatient, non‐randomized, pre‐/postintervention study.MethodsData 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.”ResultsData 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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Section: Discussionsupporting

confidence: 87%

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

2017

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“…Thus, alongside the use of pressure redistribution mattresses and cushions, regular repositioning are a measure recommended for immobile patients (NPUAP et al, 2014) and commonly used in standard nursing practice (Källman & Suserud, 2009;Voz et al, 2011). However, the current evidence to support specific repositioning regimes is still weak.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Repositioning in Pressure Ulcer Prevention

Källman¹

2015

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“…, Voz et al . ). As our goal was to address all PU/IAD prevention processes, we were faced with accompanying complexity.…”

Section: Discussionmentioning

confidence: 97%

Performance indicators; the association between the quality of preventive care and the prevalence of hospital‐acquired skin lesions in adult hospital patients

Dishoeck

Looman

Halfens

et al. 2016

Journal of Advanced Nursing

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Who Is Turning the Patients? A Survey Study

Abstract: Nurses reported adequate resources to reposition patients. Most were not aware of their patients' Norton scores and were found to have poor accuracy when identifying patients' risk status.

Cited by 15 publications

References 16 publications

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

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

Evaluation of Repositioning in Pressure Ulcer Prevention

Performance indicators; the association between the quality of preventive care and the prevalence of hospital‐acquired skin lesions in adult hospital patients

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