Characterising and Measuring a Successful Disclosure of a Diagnosis of Dementia: A Scoping Review
Year: 2024
Type: article
Abstract: Objective: The objective of this scoping review is to understand the extent and type of evidence in relation to how to characterise and measure a successful disclosure of a diagnosis of dementia from the perspective of someone living with dementia and their carer. Introduction: Previous research has been conducted into how to disclose a diagnosis of dementia and the affect that disclosing a diagnosis of dementia has on the person living with dementia, their carer and the clinician. Yet we do not know the extent to which the evidence characterises a good diagnosis of dementia, or how best to measure it from the perspective of the person living with dementia and their carer. Inclusion criteria: Three types of evidence will be included: 1) qualitative evidence describing people with dementia and their carer’ experiences of diagnosis disclosures, both good and bad, 2) quantitative data from questionnaires measuring people with dementia and carer’ experiences, and the questionnaire items chosen for this measurement, and 3) guidelines and frameworks around dementia disclosure which have already been developed. Methods: Six databases will be used, this includes MEDLINE, CINAHL, EMBASE, Scopus, PsychInfo and Google Scholar. Unpublished studies and gray literature will be searched using ProQuest, TRIP, Mednar and Open Access Theses and Dissertations as well as Google. Only English language papers will be included with the search conducted from 2009. This review will follow the methodological framework set out by Arksey and O'Malley. Two independent reviewers will review all papers, firstly based on abstract and title and then by full text, before selecting the appropriate studies based on the inclusion/exclusion criteria. Data will be extracted from the included studies by two researchers using a pre-established data extraction instrument. The qualitative results will be analysed using meta-synthesis using NVivo, all other data will be analysed using narrative synthesis using Excel. All results will be presented in a tabular form.
Authors: Russell, Alice, Hicks, Ben, Ford, Elizabeth, Shilling, Valerie, Banerjee, Sube
Institutions: Brighton and Sussex Medical School, University of Nottingham
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6949334706
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