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

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.

Engaging people with lived experiences on community advisory boards in community-based participatory research: a scoping review protocol

Por: Nelson · G. · Kettaneh · H. · Knox · B. · Purkey · E. · Chan-Nguyen · S. · Jenkins · M. · Bayoumi · I.
Introduction

Community-based participatory research (CBPR) is a collaborative research approach that equally engages researchers and community stakeholders throughout all steps of the research process to facilitate social change and increase research relevance. Community advisory boards (CABs) are a CBPR tool in which individuals with lived experience and community organisations are integrated into the research process and ensure the work aligns with community priorities. We seek to (1) explore the best practices for the recruitment and engagement of people with lived experiences on CABs and (2) identify the scope of literature on minimising power dynamics between organisations and community members with lived experience who work on CABs together.

Methods and analysis

This scoping review will follow the Arksey and O’Malley methodological framework, informed by Levac et al, and will be reported using a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) diagram. Detailed and robust search strategies have been developed for Embase, Medline and PsychINFO. Grey literature references and reference lists of included articles published between 1 January 1990 and 30 March 2023 will be considered. Two reviewers will independently screen references in two successive stages of title/abstract and full-text screening. Conflicts will be decided by consensus or a third reviewer. Thematic analysis will be applied in three phases: open coding, axial coding and abstraction. Extracted data will be recorded and presented in a tabular format and/or graphical summaries, with a descriptive overview discussing how the research findings relate to the research questions. At this time, a preliminary search of peer-reviewed and grey literature has been conducted. Search results for peer-reviewed literature have been uploaded to Covidence for review and appraisal for relevance.

Ethics and dissemination

Formal ethics approval is not required for this review. Review findings will inform ongoing and future CBPR community advisory board dynamics.

Registration

The protocol has been registered prospectively on the Open Science Framework (https://doi.org/10.17605/OSF.IO/QF5D3)

Descriptive study of the challenges when implementing an app for patients with neovascular age-related macular degeneration to monitor their vision at home

Por: Reeves · B. C. · Wickens · R. · OConnor · S. R. · Gidman · E. A. · Ward · E. · Treanor · C. · Peto · T. · Burton · B. J. L. · Knox · P. C. · Lotery · A. · Sivaprasad · S. · Donnelly · M. · Rogers · C. A. · Hogg · R. E.
Objectives

Remote monitoring of health has the potential to reduce the burden to patients of face-to-face appointments and make healthcare more efficient. Apps are available for patients to self-monitor vision at home, for example, to detect reactivation of age-related macular degeneration (AMD). Describing the challenges when implementing apps for self-monitoring of vision at home was an objective of the MONARCH study to evaluate two vision-monitoring apps on an iPod Touch (Multibit and MyVisionTrack).

Design

Diagnostic Test Accuracy study.

Setting

Six UK hospitals.

Methods

The study provides an example of the real-world implementation of such apps across health sectors in an older population. Challenges described include the following: (1) frequency and reason for incoming calls made to a helpline and outgoing calls made to participants; (2) frequency and duration of events responsible for the tests being unavailable; and (3) other technical and logistical challenges.

Results

Patients (n=297) in the study were familiar with technology; 252/296 (85%) had internet at home and 197/296 (67%) had used a smartphone. Nevertheless, 141 (46%) called the study helpline, more often than anticipated. Of 435 reasons for calling, all but 42 (10%) related to testing with the apps or hardware, which contributed to reduced adherence. The team made at least one call to 133 patients (44%) to investigate why data had not been transmitted. Multibit and MyVisionTrack apps were unavailable for 15 and 30 of 1318 testing days for reasons which were the responsibility of the app providers. Researchers also experienced technical challenges with a multiple device management system. Logistical challenges included regulations for transporting lithium-ion batteries and malfunctioning chargers.

Conclusions

Implementation of similar technologies should incorporate a well-resourced helpline and build in additional training time for participants and troubleshooting time for staff. There should also be robust evidence that chosen technologies are fit for the intended purpose.

Trial registration number

ISRCTN79058224.

Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis

by Irene Boateng, Beth Stuart, Taeko Becque, Bruce Barrett, Jennifer Bostock, Robin Bruyndonckx, Lucy Carr-Knox, Emily J. Ciccone, Samuel Coenen, Mark Ebell, David Gillespie, Gail Hayward, Katarina Hedin, Kerenza Hood, Tin Man Mandy Lau, Paul Little, Dan Merenstein, Edgar Mulogo, Jose Ordóñez-Mena, Peter Muir, Kirsty Samuel, Nader Shaikh, Sharon Tonner, Alike W. van der Velden, Theo Verheij, Kay Wang, Alastair D. Hay, Nick Francis

Background

Resistance to antibiotics is rising and threatens future antibiotic effectiveness. ‘Antibiotic targeting’ ensures patients who may benefit from antibiotics receive them, while being safely withheld from those who may not. Point-of-care tests may assist with antibiotic targeting by allowing primary care clinicians to establish if symptomatic patients have a viral, bacterial, combined, or no infection. However, because organisms can be harmlessly carried, it is important to know if the presence of the virus/bacteria is related to the illness for which the patient is being assessed. One way to do this is to look for associations with more severe/prolonged symptoms and test results. Previous research to answer this question for acute respiratory tract infections has given conflicting results with studies has not having enough participants to provide statistical confidence.

Aim

To undertake a synthesis of IPD from both randomised controlled trials (RCTs) and observational cohort studies of respiratory tract infections (RTI) in order to investigate the prognostic value of microbiological data in addition to, or instead of, clinical symptoms and signs.

Methods

A systematic search of Cochrane Central Register of Controlled Trials, Ovid Medline and Ovid Embase will be carried out for studies of acute respiratory infection in primary care settings. The outcomes of interest are duration of disease, severity of disease, repeated consultation with new/worsening illness and complications requiring hospitalisation. Authors of eligible studies will be contacted to provide anonymised individual participant data. The data will be harmonised and aggregated. Multilevel regression analysis will be conducted to determine key outcome measures for different potential pathogens and whether these offer any additional information on prognosis beyond clinical symptoms and signs.

Trial registration

PROSPERO Registration number: CRD42023376769.

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