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☐ ☆ ✇ Journal of Clinical Nursing

Is elderspeak communication in simulated hospital dementia care congruent to communication in actual patient care? A mixed‐methods pilot study

Por: Clarissa A. Shaw · Katie Knox · Heather Bair · Erica Watkinson · Delaney Weeks · Lainie Jackson — Mayo 8th 2024 at 13:08

Abstract

Aims

Simulation offers a feasible modality to prepare nurses for challenges communicating with patients with dementia. Elderspeak communication is speech that sounds like baby talk and can lead to rejection of care by patients with dementia. However, it is unknown if simulation can be used to capture elderspeak communication in dementia care. The purpose of this mixed-methods study was to determine if simulation accurately captures elderspeak communication by nursing staff in hospital dementia care.

Design

A 3-part mixed-methods design in which (1) three dementia care simulations were designed and validated by a panel of experts, (2) communication by nursing staff completing each simulation was quantitatively compared to communication during actual patient care, and (3) views on the realism were explored using within- and across-case coding.

Methods

Three simulations using different modalities (manikin, role-play, and standardised patient) were designed and validated with eight experts using the Lynn Method. Ten nursing staff were audio-recorded and their communication was coded for elderspeak communication. Results for each simulation were compared using Wilcoxon signed-rank test to recordings taken during actual dementia care encounters. Debriefings were coded for realism and results were converged.

Results

The average time using elderspeak during naturalistic care was 29.9% (SD = 20.9%) which did not differ from the average amount of elderspeak used across the three simulations modalities which ranged from 29.1% to 30.4%. Qualitative results suggested a lack of realism with the manikin condition and the nursing staff indicated preference for the simulation with the standardised patient.

Conclusions

Communication elicited in the dementia care simulations was congruent to communication produced in actual dementia care but preference was for the standardised patient.

Implications for Patient Care

Elderspeak communication can be accurately produced in the simulated environment which indicates that simulation is a valid method for person-centred communication training in nursing staff.

Impact

Simulation offers a feasible modality to prepare nurses for challenges communicating with patients with dementia. Elderspeak communication is speech that sounds like baby talk and can lead to rejection of care by patients with dementia. However, it is unknown if simulation can be used to capture elderspeak communication in dementia care. Elderspeak communication captured in the simulated environment was congruent to communication nursing staff use during actual patient care to hospitalised persons living with dementia. This study empirically identifies that communication is elicited in similar patterns by nursing staff in the simulated environment compared to the naturalistic care environment which demonstrates that simulation can be used as a valid tool for education and research on person-centred communication.

Reporting Methods

STROBE.

Patient or Public Contribution

No Patient or Public Contribution.

☐ ☆ ✇ BMJ Open

Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts

Por: Pimentel · M. A. F. · Johnson · A. · Darbyshire · J. L. · Tarassenko · L. · Clifton · D. A. · Walden · A. · Rechner · I. · Watkinson · P. J. · Young · J. D. — Abril 13th 2024 at 02:35
Rationale

Intensive care units (ICUs) admit the most severely ill patients. Once these patients are discharged from the ICU to a step-down ward, they continue to have their vital signs monitored by nursing staff, with Early Warning Score (EWS) systems being used to identify those at risk of deterioration.

Objectives

We report the development and validation of an enhanced continuous scoring system for predicting adverse events, which combines vital signs measured routinely on acute care wards (as used by most EWS systems) with a risk score of a future adverse event calculated on discharge from the ICU.

Design

A modified Delphi process identified candidate variables commonly available in electronic records as the basis for a ‘static’ score of the patient’s condition immediately after discharge from the ICU. L1-regularised logistic regression was used to estimate the in-hospital risk of future adverse event. We then constructed a model of physiological normality using vital sign data from the day of hospital discharge. This is combined with the static score and used continuously to quantify and update the patient’s risk of deterioration throughout their hospital stay.

Setting

Data from two National Health Service Foundation Trusts (UK) were used to develop and (externally) validate the model.

Participants

A total of 12 394 vital sign measurements were acquired from 273 patients after ICU discharge for the development set, and 4831 from 136 patients in the validation cohort.

Results

Outcome validation of our model yielded an area under the receiver operating characteristic curve of 0.724 for predicting ICU readmission or in-hospital death within 24 hours. It showed an improved performance with respect to other competitive risk scoring systems, including the National EWS (0.653).

Conclusions

We showed that a scoring system incorporating data from a patient’s stay in the ICU has better performance than commonly used EWS systems based on vital signs alone.

Trial registration number

ISRCTN32008295.

☐ ☆ ✇ Journal of Advanced Nursing

Using a novel ambulatory monitoring system to support patient safety on an acute infectious disease ward during an unfolding pandemic

Abstract

Aim

To gain staff feedback on the implementation and impact of a novel ambulatory monitoring system to support coronavirus patient management on an isolation ward.

Design

Qualitative service evaluation.

Methods

Semi-structured interviews were conducted with 15 multidisciplinary isolation ward staff in the United Kingdom between July 2020 and May 2021. Interviews were audio-recorded, transcribed and analysed using thematic analysis.

Findings

Adopting Innovation to Assist Patient Safety was identified as the overriding theme. Three interlinked sub-themes represent facets of how the system supported patient safety. Patient Selection was developed throughout the pandemic, as clinical staff became more confident in choosing which patients would benefit most. Trust In the System described how nurses coped with discrepancies between the ambulatory system and ward observation machines. Finally, Resource Management examined how, once trust was built, staff perceived the ambulatory system assisted with caseload management. This supported efficient personal protective equipment resource use by reducing the number of isolation room entries. Despite these reported benefits, face-to-face contact was still highly valued, despite the risk of coronavirus exposure.

Conclusion

Hospital wards should consider using ambulatory monitoring systems to support caseload management and patient safety. Patients in isolation rooms or at high risk of deterioration may particularly benefit from this additional monitoring. However, these systems should be seen as an adjunct to nursing care, not a replacement.

Implications for the Profession and/or Patient Care

Nurses valued ambulatory monitoring as a means of ensuring the safety of patients at risk of deterioration and prioritizing their workload.

Impact

The findings of this research will be useful to all those developing or considering implementation of ambulatory monitoring systems in hospital wards.

Reporting Method

This manuscript follows the Consolidated criteria for Reporting Qualitative Research (COREQ) guidelines with inclusion of relevant SQUIRE guidelines for reporting quality improvement.

Patient or Public Contribution

No Patient or Public Contribution.

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