Geospatial Analysis of Environmental Risk Factors for Missing Dementia Patients

BACKGROUND: Dementia-related missing incidents are highly prevalent but still poorly understood. This is particularly true for environmental/geospatial risk factors, which might contribute to these missing incidents. OBJECTIVE: The study aimed to conduct a retrospective, observational analysis on a large sample of missing dementia patient case records provided by the police (n = 210), covering dates from January 2014 to December 2017. In particular, we wanted to explore 1) whether there were any hotspot regions of missing incidents and 2) the relationship between outdoor landmark density and missing incidents. METHODS: Global spatial autocorrelation (Moran's I) was used to identify the potential hotspot regions for missing incidents. Meanwhile, spatial buffer and regression modelling were used to determine the relationship between outdoor landmark density and missing incidents. RESULTS: Our demographics measures replicated and extended previous studies of dementia-related missing incidents. Meanwhile, no hotspot regions for missing incidents were identified, while higher outdoor landmark density led to increased missing incidents. CONCLUSION: Our results highlight that missing incidents do not occur in isolated hotspots of regions but instead are endemic in patients regardless of location. Higher outdoor landmark density emerges as a significant geospatial factor for missing incidents in dementia, which crucially informs future safeguarding/intervention studies

Predicting real world spatial disorientation in Alzheimer's disease patients using virtual reality navigation tests

Spatial navigation impairments in Alzheimer's disease (AD) have been suggested to underlie patients experiencing spatial disorientation. Though many studies have highlighted navigation impairments for AD patients in virtual reality (VR) environments, the extent to which these impairments predict a patient's risk for spatial disorientation in the real world is still poorly understood. The aims of this study were to (a) investigate the spatial navigation abilities of AD patients in VR environments as well as in a real world community setting and (b) explore whether we could predict patients at a high risk for spatial disorientation in the community based on their VR navigation. Sixteen community-dwelling AD patients and 21 age/gender matched controls were assessed on their egocentric and allocentric navigation abilities in VR environments using the Virtual Supermarket Test (VST) and Sea Hero Quest (SHQ) as well as in the community using the Detour Navigation Test (DNT). When compared to controls, AD patients exhibited impairments on the VST, SHQ, and DNT. For patients, only SHQ wayfinding distance and wayfinding duration significantly predicted composite disorientation score on the DNT (β = 0.422, p = 0.034, R2 = 0.299 and β = 0.357, p = 0.046, R2 = 0.27 respectively). However, these same VR measures could not reliably predict which patients were at highest risk of spatial disorientation in the community (p > 0.1). Future studies should focus on developing VR-based tests which can predict AD patients at high risk of getting spatially disorientated in the real world

Mindfulness in eating is inversely related to binge eating and mood disturbances in university students in health-related disciplines

The purpose of the study was to investigate the relationship between mindful eating, disordered eating and mood in university students in health-related disciplines. A total of 221 university students participated in the study; 102 students studied sport and exercise science (SS), 54 students pharmacy sciences (PS), and 65 students health sciences (HS). Participants completed the Binge Eating Scale (BES), the Mindful Eating Questionnaire (MEQ), and the Profile of Mood State questionnaire (POMS). 41% of the students were classified as binge eaters and 57% were above the POMS threshold of depression. Binge eaters were found to have significantly lower MEQ score and significantly higher total mood disturbance scores (TMD) compared to non-binge eaters (p < 0.01). Students with a high depression score exhibited no differences in the MEQ score but a significantly higher BES score compared to non-depressed students (p < 0.01). Gender differences were found in the MEQ with females exhibiting significantly higher scores in the MEQ score and in all MEQ subscales compared to males, with the exception of the emotional subscale that females were noted to have a lower score compared to males (p < 0.01). The MEQ score was inversely related to the BES score (r = −0.30, p < 0.01) and TMD (r = −0.21, p < 0.05). The MEQ score was a significant negative predictor of the variance of the binge eating behavior of the students (B = −3.17, p < 0.001). In conclusion, mindfulness in eating is inversely related to the binge eating behavior and mood state of university students studying health-related subjects and is a significant negative predictor of disordered eating behavior in this high risk population

The role of assistive technology in enabling older adults to achieve independent living: Past and future

In this viewpoint, we present evidence of a marked increase in the use of assistive technology (AT) by older adults over the last 25 years. We also explain the way in which this use has expanded not only as an increase in terms of the total number of users but also by going beyond the typical scopes of use from its inception in 1999 to reach new categories of users. We outline our opinions on some of the key driving forces behind this expansion, such as population demographic changes, technological advances, and the promotion of AT as a means to enable older adults to achieve independent living. As well as our review of the evolution of AT over the past 25 years, we also discuss the future of AT research as a field and the need for harmonization of terminology in AT research. Finally, we outline how our experience in North Norfolk (notably the United Kingdom’s most old age–dependent district) suggests that cocreation may be the key to not only successful research trials in the field of AT but also to the successful sustained adoption of AT beyond its original scope of use

Attitudinal predictors of older peoples' and caregivers' desire to deprescribe in hospital

Background Deprescribing is a partnership between practitioners, patients and caregivers. External characteristics including age, comorbidities and polypharmacy are poor predictors of attitude towards deprescribing. This hospital-based study aimed to describe the desire of patients and caregivers to be involved in medicine decision-making, and identify attitudinal predictors of desire to try stopping a medicine. Methods Patients and caregivers recruited from seven Older People’s Medicine wards across two UK hospitals completed the revised Patients’Attitudes Towards Deprescribing (rPATD) questionnaire. Patients prescribed polypharmacy and caregivers involved in medication decision-making of such patients were eligible. A target of 150 patients and caregivers provided a 95% confidence interval of ±11.0% or smaller around rPATD item agreement. Descriptive statistics characterised participants and rPATD responses. Responses to items regarding desire to be involved in medication decision-making and desire to try stopping a medicine were used to address the aims. Binary logistic regression provided the adjusted odds ratios (OR) for predictors of desire to try stopping a medicine. Results Patient participants (N=75) were a median (IQ) 87.0 (83.0, 90.0) years old and the median (IQ) number of pre-admission medication was 8.0 (6.0, 10.0). Caregiver participants (N=76) were a median (IQ) 70.0 (57.0, 83.0) years old and the majority were a spouse (63.2%). For patients and caregivers respectively, the following were reported: 58.7% and 65.8% wanted to be involved in medication decision-making; 29.3% and 43.5% reported a desire to try stopping a medicine. Attitudinal predictors of low desire to try stopping a medicine for patients and caregivers are a perception that there are no unnecessary prescribed medicines [OR=0.179 (patients) and 0.044 (caregivers)] and no desire for dose reduction [OR=0.199 (patients) and 0.024 (caregivers)]. A perception of not being prescribed too many medicines also predicted low patient desire to try stopping a medicine [OR=0.195]. Conclusion A substantial proportion of patients and caregivers did not want to be involved medication decision-making, however this should not result in practitioners dismissing deprescribing opportunities. The three diagnostic indicators for establishing desire to try stopping a medicine are perceived necessity of the medicine, appropriateness of the number prescribed medications and a desire for dose reduction

Freedom of Information Act: scalpel or just a sharp knife?

The concluding statement of the Burns Commission, established to evaluate whether changes are needed to the Freedom of Information Act (FOIA), ruled no major legislative changes were required. As such Freedom of Information (FOI) legislation still enables anyone to obtain information from public authorities. In this brief report article we explore arguments regarding FOI as an instrument for healthcare research using an international research programme as a case study

Deprescribing admission medication at a UK teaching hospital; a report on quantity and nature of activity

Background: Deprescribing medication may be in response to an adverse clinical trigger (reactive) or if future gains are unlikely to outweigh future harms (proactive). A hospital admission may present an opportunity for deprescribing, however current practice is poorly understood. Objective: To quantify and describe the nature of deprescribing in a UK teaching hospital. Method: Prescribing and discontinuation data for admission medication from a hospital’s electronic prescribing system were extracted over 4 weeks. The rationale for discontinuation of a random sample of 200 was determined using medical records. This informed categorisation of deprescribing activity by clinicians into ‘proactive’ or ‘reactive’. Data were extrapolated to estimate the proportion of admission medications deprescribed and the proportion which were reactive and proactive. Results: From 24,552 admission medicines, 977 discontinuations were recorded. Of the 200 discontinuations sampled for review, only 44 (22.0%) were confirmed deprescribing activities; categorised into 7 (15.9%) proactive and 37 (84.1%) reactive. Extrapolation yielded 0.6% (95% CI 0.5–0.7%) of all admission medications deprescribed. Conclusion: Limited deprescribing activity, dominated by reactive behaviour was identified, suggesting prescribers require a clinical trigger to prompt deprescribing. There may be scope for increasing proactive deprescribing in hospital, however the extent to which this is feasible is unknown

Development of a hospital Deprescribing Implementation Framework : a focus group study with geriatricians and pharmacists

Background: over 50% of older people in hospital are prescribed a pre-admission medicine that is potentially inappropriate; however, deprescribing by geriatricians and pharmacists is limited. This study aimed to characterise geriatricians’ and pharmacists’ barriers and enablers to deprescribing in hospital. It also intended to develop a framework of intervention components to facilitate implementation of hospital deprescribing. Methods: fifty-four geriatricians and pharmacists representing four UK hospitals attended eight focus groups. We designed a topic guide to invite discussions about barriers and enablers to deprescribing. After thematic analysis, themes were mapped to the theoretical domains framework (TDF), enabling prioritisation of domains for behaviour change. We then identified evidence-based intervention components for changing behaviour within prioritised TDF domains. Results: geriatricians and pharmacists described several deprescribing enablers in the hospital setting including alignment with their role and generalist knowledge, and routine patient monitoring. Five prioritised TDF domains represent the key barriers and enabler: patient and caregiver attachment to medication (social influence); perceptions that deprescribing is riskier than continuing to prescribe (beliefs about consequences); pharmacists’ working patterns limiting capacity to support deprescribing (environmental context and resources); deprescribing being a low hospital priority (goals) and incentives to deprescribe (reinforcement). Prioritised TDF domains aligned with 44 evidence-based intervention components to address the barriers and enabler to hospital deprescribing. Conclusion: the behavioural determinants and their associated intervention components provide a hospital deprescribing implementation framework (hDIF). Intervention components should be selected from the hDIF to provide a theory and evidence-based intervention tailored to hospital contexts

Ensuring Best Practice in Genomic Education and Evaluation: A Program Logic Approach

© Copyright © 2019 Nisselle, Martyn, Jordan, Kaunein, McEwen, Patel, Terrill, Bishop, Metcalfe and Gaff. Targeted genomic education and training of professionals have been identified as core components of strategies and implementation plans for the use of genomics in health care systems. Education needs to be effective and support the sustained and appropriate use of genomics in health care. Evaluation of education programs to identify effectiveness is challenging. Furthermore, those responsible for development and delivery are not necessarily trained in education and/or evaluation. Program logic models have been used to support the development and evaluation of education programs by articulating a logical explanation as to how a program intends to produce the desired outcomes. These are highly relevant to genomic education programs, but do not appear to have been widely used to date. To assist those developing and evaluating genomic education programs, and as a first step towards enabling identification of effective genomic education approaches, we developed a consensus program logic model for genomic education. We drew on existing literature and a co-design process with 24 international genomic education and evaluation experts to develop the model. The general applicability of the model to the development of programs was tested by program convenors across four diverse settings. Conveners reported on the utility and relevance of the logic model across development, delivery and evaluation. As a whole, their feedback suggests that the model is flexible and adaptive across university award programs, competency development and continuing professional development activities. We discuss this program logic model as a potential best practice mechanism for developing genomic education, and to support development of an evaluation framework and consistent standards to evaluate and report genomic education program outcomes and impacts