A semi‐structured interview to assess visual hallucinations in older people

Mosimann, Urs Peter; Collerton, Daniel; Dudley, Robert; Meyer, Thomas D.; Graham, Gemma; Dean, Jennifer; Bearn, Daniel; Killen, Alison; Dickinson, Lucy; Clarke, Mike Patrick; McKeith, Ian G.

doi:10.1002/gps.1965

Cited by 97 publications

(99 citation statements)

References 35 publications

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“…Only controlled cross-sectional NEVHI studies with ED, PD, PDD, and DLB samples using similar methodology were included in this study. Three (3,4,8) of them had two sample groups (patients, controls), while the other two had three sample groups (controls, ED, DLB;(2) controls, PD, PDD(5)).…”

Section: Study Selection and Data Collectionmentioning

confidence: 99%

“…The control groups which included friends/relatives (2,8) or spouses of patients, (2,3,5,8) volunteers recruited via advertisement in the Newcastle Elders magazine(4) and in a local church (3,4) and healthy controls from the research database held at the Institute for Ageing, Newcastle University (3,5) comprise the comparison group in this study. Diagnostic criteria were met using the revised International Consensus Guidelines from the third report of the DLB consortium for DLB, the Movement Disorder Committee, United Kingdom.…”

Section: Study Selection and Data Collectionmentioning

confidence: 99%

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Visual Hallucinations in Eye Disease and Lewy Body Disease

Urwyler

Nef

Müri

et al. 2016

The American Journal of Geriatric Psychiatry

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Objective: Visual hallucinations (VH) most commonly occur in eye disease (ED), Parkinson's disease (PD), and Lewy body dementia (LBD). The phenomenology of VH is likely to carry important information about the brain areas within the visual system generating them. Methods: Data from five controlled cross-sectional VH studies (164 controls, 135 ED, 156 PD, 79 (PDD 48 + DLB 31) LBD) were combined and analysed. The prevalence, phenomenology, frequency, duration, and contents of VH were compared across diseases and gender. Results: Simple VH were most common in ED patients (ED 65% METHODS Study Selection and Data CollectionThere have been several studies(2-5, 8, 24) using NEVHI(3) since its original publication in 2008. Only controlled cross-sectional NEVHI studies with ED, PD, PDD, and DLB samples using similar methodology were included in this study. Three(3, 4, 8) of them had two sample groups (patients, controls), while the other two had three sample groups (controls, ED, DLB;(2) controls, PD, PDD (5) Committee, United Kingdom. All procedures related to the study were explained to the participants and a written informed consent was obtained prior to participation. All data were merged into a single database including 164 individuals in the comparison group and 383 patients (135 ED, 156 PD, 48 PDD, 31 DLB, 13 with combination of ED/PD/PDD/DLB). The latter 13 patients were excluded from further analysis. A sub-analysis of VH phenomenology did not reveal any differences between DLB and PDD patients, which were subsequently considered as one LBD group. PD and LBD patients were only included if they had no visual field defects on neurological examination. AssessmentsAn interview was used to gather demographic data in all studies. Best near visual acuity was examined 6 members/children), "body parts", "animals/insects", "machines", and "letters/numbers/musical notes".(7, 13, 15) Prevalence, phenomenology, frequency, duration and severity of VH were compared between the (i) comparison group and patients and (ii) different patient groups (ED, PD, LBD). The phenomenology of Complex VH was also compared between gender. Statistical analysisStatistical analysis was undertaken using the Statistical Package for Social Sciences (SPSS Version 20).Normal distribution of data was examined using the Shapiro-Wilk test. Means and standard deviations (SD) were calculated. Data were analysed using parametric tests (one-way analysis of variance (ANOVA)). Multiple comparisons were assessed with Post-hoc Bonferroni tests. Frequencies were compared using the chi-square (χ 2 ) test and Fisher's exact test when expected frequency in either group was < 5. The effect of gender, disease and interaction of gender × disease on contents of complex VH was tested using a two-way ANOVA (Effect sizes are reported using partial η 2 ), whilst logistic regression was used to ascertain whether the VH phenomenology could significantly predict the disease. The homogeneity of variance of the interaction model was tested using Levene's test, while go...

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Section: Study Selection and Data Collectionmentioning

confidence: 99%

Section: Study Selection and Data Collectionmentioning

confidence: 99%

Visual Hallucinations in Eye Disease and Lewy Body Disease

Urwyler

Nef

Müri

et al. 2016

The American Journal of Geriatric Psychiatry

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“…For this reason we propose a quantitative scale, mostly focused on VH and indeed alternative scales which have greater utility in this regard include the Mayo visual hallucination inventory [66], the Queen's Square visual hallucination inventory [67] and the Newcastle Visual Hallucinations Inventory [68]; the latter explores the phenomenology,frequency and emotional impact of visual hallucinations and also the coassociation of hallucinations in any other modality with the opportunity for subjective description of any visual phenomena. There are also patient and carer variants of the questionnaire which enhance the reliability and validity of hallucinatory reports.…”

Section: Assessment Of Visual Hallucinationsmentioning

confidence: 99%

Visual Hallucinations in PD and Lewy Body Dementias: Old and New Hypotheses

Onofrj

Taylor

Monaco

et al. 2013

Behavioural Neurology

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Abstract. Visual Hallucinations (VH) are a common non-motor symptom of Parkinson's Disease (PD) and the Lewy body dementias (LBD) of Parkinson's disease with dementia (PDD) and Dementia with Lewy Bodies (DLB). The origin of VH in PD and LBD is debated: earlier studies considered a number of different possible mechanisms underlying VH including visual disorders, Rapid Eye Movement (REM) Sleep Intrusions, dysfunctions of top down or bottom up visual pathways, and neurotransmitter imbalance. More recently newer hypotheses introduce, among the possible mechanisms of VH, the role of attention networks (ventral and dorsal) and of the Default Mode Network (DMN) a network that is inhibited during attentional tasks and becomes active during rest and self referential imagery. Persistent DMN activity during active tasks with dysfunctional imbalance of dorsal and ventral attentional networks represents a new hypothesis on the mechanism of VH. We review the different methods used to classify VH and discuss reports supporting or challenging the different hypothetical mechanisms of VH.

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“…Telling patients that hallucinations are common in a range of illnesses and are not to be feared before asking directly if they have such experiences very substantially increases disclosure [8]. Semistructured research interviews are available for identifying and classifying hallucinations [9]. While too time-consuming for routine clinical use, they can be a useful tool for the less-experienced clinician in guiding questions.…”

Section: Recognizing Visual Hallucinations In Neurodegenerative Disormentioning

confidence: 99%

Advances In the Treatment of Visual Hallucinations In Neurodegenerative Diseases

Collerton

2013

Future Neurol.

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Treatment of visual hallucinations in neurodegenerative disorders is not well advanced. The complexity of underlying mechanisms presents a number of potential avenues for developing treatments, but also suggests that any single one may be of limited efficacy. Reducing medication, with the careful introduction of antidementia medication if needed, is the mainstay of current management. Antipsychotic medication leads to excessive morbidity and mortality and should only be used in cases of high distress that do not otherwise respond. Education, reduction of risk factors and psychological treatments have limited evidence of efficacy, but are unlikely to cause harm.

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A semi‐structured interview to assess visual hallucinations in older people

Abstract: NEVHI is a comprehensive assessment tool, helpful to identify the presence of visual hallucinations and to quantify cognitions, emotions and behaviours associated with hallucinations.

Cited by 97 publications

References 35 publications

Visual Hallucinations in Eye Disease and Lewy Body Disease

Visual Hallucinations in Eye Disease and Lewy Body Disease

Visual Hallucinations in PD and Lewy Body Dementias: Old and New Hypotheses

Advances In the Treatment of Visual Hallucinations In Neurodegenerative Diseases

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