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      Capabilities, opportunities and motivations of staff to provide hearing support to long-term care home residents with dementia

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          Abstract

          Objective

          Many long-term care home (LTCH) residents have dementia and hearing loss, causing communication difficulties and agitation. Residents rely on staff for hearing support, but provision is often inconsistent. This study used the Behaviour Change Wheel’s Capability, Opportunity and Motivation model to understand why LTCH staff do or do not, provide hearing support to residents with dementia who they believe could benefit from it.

          Design

          An online survey exploring hearing support provision, capabilities, opportunities, motivations and demographics. Data were analysed using descriptive statistics, within-participants ANOVA and multiple linear regression.

          Study sample

          165 LTCH staff.

          Results

          Staff provided hearing support to 50% of residents with dementia who they thought would benefit. Self-reported physical and psychological capabilities (skills/knowledge) were significantly higher than physical opportunity (having time/resources). The physical capability was significantly higher than social opportunity (collaborative working) and reflective motivation (feeling motivated). Lower levels of hearing support provision were predicted by LTCH funding (private vs. local authority), job role (care assistant vs. nurse) and fewer physical opportunities.

          Conclusions

          Boosting capabilities through training alone may not be as effective as increasing opportunities via environmental restructuring. Opportunities may include strengthening working relationships with audiologists and ensuring hearing and communication aids are available within LTCHs.

          Related collections

          Most cited references32

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Three approaches to qualitative content analysis.

            Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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              Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

              G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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                Author and article information

                Journal
                Int J Audiol
                Int J Audiol
                International Journal of Audiology
                Taylor & Francis
                1499-2027
                1708-8186
                29 June 2023
                2024
                29 June 2023
                : 63
                : 7
                : 519-526
                Affiliations
                [a ]Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester , Manchester, UK
                [b ]Manchester Centre for Health Psychology, University of Manchester , Manchester, UK
                [c ]Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre , Manchester, UK
                [d ]NIHR Greater Manchester Patient Safety Translational Research Centre, University of Manchester , Manchester, UK
                [e ]NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre , Manchester, UK
                [f ]Centre for Hearing Research (CHEAR), School of Health and Rehabilitation Sciences, University of Queensland , Saint Lucia, Australia
                [g ]Global Brain Health Institute and School of Medicine, Trinity College Dublin , Dublin, Ireland
                Author notes

                Supplemental data for this article can be accessed online at https://doi.org/10.1080/14992027.2023.2227764.

                CONTACT Hannah Cross hannah.cross-2@ 123456manchester.ac.uk Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester , A3.16, Ellen Wilkinson Building, Manchester M13 9PL, UK
                Author information
                https://orcid.org/0000-0002-9153-1135
                https://orcid.org/0000-0003-2365-1765
                https://orcid.org/0000-0003-3180-9884
                https://orcid.org/0000-0003-1822-3643
                https://orcid.org/0000-0001-8606-0167
                Article
                2227764
                10.1080/14992027.2023.2227764
                11225945
                37382285
                839608f5-160e-4648-8bce-360f6f9bc592
                © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of British Society of Audiology, International Society of Audiology, and Nordic Audiological Society.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 0, Tables: 2, Pages: 8, Words: 6751
                Categories
                Research Article
                Original Articles

                Audiology
                behaviour change wheel,com-b model,residential care,dementia care,hearing loss
                Audiology
                behaviour change wheel, com-b model, residential care, dementia care, hearing loss

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