7 results on '"Lisa McGarrigle"'
Search Results
2. Validation of the Pictorial Fit-Frail Scale in a memory clinic setting
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Lisa McGarrigle, Kenneth Rockwood, Lindsay M. K. Wallace, Olga Theou, and Melissa K. Andrew
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Male ,Aging ,Canada ,medicine.medical_specialty ,Psychometrics ,Referral ,Frail Elderly ,Neuropsychological Tests ,Sensitivity and Specificity ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Dementia ,Medical history ,030212 general & internal medicine ,Geriatric Assessment ,Aged ,Aged, 80 and over ,Frailty ,business.industry ,Memory clinic ,Reproducibility of Results ,Level of functioning ,medicine.disease ,Psychiatry and Mental health ,Clinical Psychology ,Scale (social sciences) ,Physical therapy ,Female ,Observational study ,Comprehensive Health Care ,Geriatrics and Gerontology ,business ,Gerontology ,030217 neurology & neurosurgery - Abstract
Objective:To assess the feasibility, reliability, and validity of the Pictorial Fit-Frail Scale (PFFS) among patients, caregivers, nurses, and geriatricians in an outpatient memory clinic.Design:Observational study.Setting:A Canadian referral-based outpatient memory clinic.Participants:Fifty-one consecutive patients and/or their caregivers, as well as attending nurses and geriatricians.Measurements:Participants (patients, caregivers, nurses, and geriatricians) were asked to complete the PFFS based on the patient’s current level of functioning. Time-to-complete and level of assistance required was recorded. Participants also completed a demographic survey and patients’ medical history (including the Mini-Mental State Examination [MMSE], and Comprehensive Geriatric Assessment [CGA]) was obtained via chart review.Results:Patient participants had a mean age of 77.3±10.1 years, and average MMSE of 22.0±7.0, and 53% were female. Participants were able to complete the PFFS with minimal assistance, and their average times to completion were 4:38±2:09, 3:11±1:16, 1:05±0:19, and 0:57±0:30 (mins:sec) for patients, caregivers, nurses, and geriatricians, respectively. Mean PFFS scores as rated by patients, caregivers, nurses, and geriatricians were 9.0±5.7, 13.1±6.6, 11.2±4.5, 11.9±5.9, respectively. Patients with low MMSE scores (0–24) took significantly longer to complete the scale and had higher PFFS scores. Inter-rater reliability between nurses and geriatricians was 0.74, but it was lower when assessments were done for patients with low MMSE scores (0.47, pConclusions:The PFFS is feasible, even among people with some slight cognitive impairment, though it may be less useful when patients with severe dementia administer it to themselves. Further, the PFFS may help inform clinicians about areas of concern as identified by patients, enabling them to contribute more to diagnostic and treatment decisions or helping with health tracking and care planning.
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- 2019
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3. The Pictorial Fit-Frail Scale: Developing a Visual Scale to Assess Frailty
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Lisa McGarrigle, Sally Suriani Ahip, Judith Godin, Joanna M Blodgett, Melissa K. Andrew, Shariff-Ghazali Sazlina, Lindsay M. K. Wallace, Glen Hougan, Kathryn Hominick, Judah Goldstein, Olga Theou, Emma Squires, Sherri Fay, Kenneth Rockwood, Joshua J. Armstrong, Paige Moorhouse, and Renuka Visvanathan
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Predictive validity ,assessment ,content validity ,Applied psychology ,frailty ,Visual scale ,Pictorial Fit-Frail Scale ,03 medical and health sciences ,0302 clinical medicine ,Content validity ,Medicine ,030212 general & internal medicine ,Reliability (statistics) ,Malay ,Original Research ,Operationalization ,business.industry ,Usability ,language.human_language ,Scale (social sciences) ,language ,Geriatrics and Gerontology ,business ,Gerontology ,030217 neurology & neurosurgery ,feasibility - Abstract
BackgroundStandardized frailty assessments are needed for early iden-tification and treatment. We aimed to develop a frailty scale using visual images, the Pictorial Fit-Frail Scale (PFFS), and to examine its feasibility and content validity.MethodsIn Phase 1, a multidisciplinary team identified domains for measurement, operationalized impairment levels, and re-viewed visual languages for the scale. In Phase 2, feedback was sought from health professionals and the general public. In Phase 3, 366 participants completed preliminary testing on the revised draft, including 162 UK paramedics, and rated the scale on feasibility and usability. In Phase 4, following translation into Malay, the final prototype was tested in 95 participants in Peninsular Malaysia and Borneo.ResultsThe final scale incorporated 14 domains, each conceptual-ized with 3–6 response levels. All domains were rated as “understood well” by most participants (range 64–94%). Percentage agreement with positive statements regarding appearance, feasibility, and usefulness ranged from 66% to 95%. Overall feedback from health-care professionals sup-ported its content validity.ConclusionsThe PFFS is comprehensive, feasible, and appears gener-alizable across countries, and has face and content validity. Investigation into the reliability and predictive validity of the scale is currently underway.
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- 2019
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4. Population-based interventions for preventing falls and fall-related injuries in older people
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Roderick John McClure, Chris Todd, Jana Sremanakova, Matthew Gittins, Lisa McGarrigle, Anneliese Spinks, Daniel E MacIntyre, Kilian Rapp, and Elisabeth Boulton
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Gerontology ,business.industry ,Psychological intervention ,Medicine ,Pharmacology (medical) ,Population based ,business ,Older people - Published
- 2020
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5. Promotion of Physical Activity in Older People Using mHealth and eHealth Technologies: Rapid Review of Reviews
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Lisa McGarrigle and Chris Todd
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Gerontology ,Telemedicine ,020205 medical informatics ,Psychological intervention ,physical activity ,Health Informatics ,Context (language use) ,02 engineering and technology ,CINAHL ,Review ,lcsh:Computer applications to medicine. Medical informatics ,03 medical and health sciences ,0302 clinical medicine ,0202 electrical engineering, electronic engineering, information engineering ,eHealth ,Humans ,030212 general & internal medicine ,mHealth ,Exercise ,app ,Aged ,Aged, 80 and over ,Text Messaging ,pedometer ,SARS-CoV-2 ,lcsh:Public aspects of medicine ,COVID-19 ,lcsh:RA1-1270 ,Behavior change methods ,accelerometer ,Systematic review ,technology ,lcsh:R858-859.7 ,Psychology - Abstract
Background Older people are at increased risk of adverse health events because of reduced physical activity. There is concern that activity levels are further reduced in the context of the COVID-19 pandemic, as many older people are practicing physical and social distancing to minimize transmission. Mobile health (mHealth) and eHealth technologies may offer a means by which older people can engage in physical activity while physically distancing. Objective The objective of this study was to assess the evidence for mHealth or eHealth technology in the promotion of physical activity among older people aged 50 years or older. Methods We conducted a rapid review of reviews using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We searched for systematic reviews published in the English language in 3 electronic databases: MEDLINE, CINAHL Plus, and Scopus. Two reviewers used predefined inclusion criteria to select relevant reviews and extracted data on review characteristics and intervention effectiveness. Two independent raters assessed review quality using the AMSTAR-2 tool. Results Titles and abstracts (n=472) were screened, and 14 full-text reviews were assessed for eligibility. Initially, we included 5 reviews but excluded 1 from the narrative as it was judged to be of critically low quality. Three reviews concluded that mHealth or eHealth interventions were effective in increasing physical activity. One review found that the evidence was inconclusive. Conclusions There is low to moderate evidence that interventions delivered via mHealth or eHealth approaches may be effective in increasing physical activity in older adults in the short term. Components of successful interventions include self-monitoring, incorporation of theory and behavior change techniques, and social and professional support.
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- 2020
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6. An empirical validation of neuropsychiatric symptoms and agitation profiles in dementia using data from an online symptom tracking tool
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Lisa McGarrigle, Kenneth Rockwood, and Justin Stanley
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Aged, 80 and over ,Male ,medicine.medical_specialty ,business.industry ,Mental Disorders ,Anxiety ,medicine.disease ,Aggression ,Psychiatry and Mental health ,Clinical Psychology ,Physical medicine and rehabilitation ,medicine ,Dementia ,Humans ,Female ,Tracking (education) ,Affective Symptoms ,Geriatrics and Gerontology ,business ,Gerontology ,Psychomotor Agitation ,Aged - Published
- 2019
7. Characterizing the symptom of misplacing objects in people with dementia: findings from an online tracking tool
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Lisa McGarrigle, Justin Stanley, Helen Wong, Kenneth Rockwood, and Susan E. Howlett
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Male ,medicine.medical_specialty ,Disease ,03 medical and health sciences ,0302 clinical medicine ,Quality of life ,Activities of Daily Living ,medicine ,Dementia ,Humans ,Psychiatry ,Aged ,Spatial Memory ,Aged, 80 and over ,Internet ,Forgetting ,030214 geriatrics ,business.industry ,Caregiver burden ,Middle Aged ,medicine.disease ,Psychiatry and Mental health ,Clinical Psychology ,Cross-Sectional Studies ,Severe dementia ,Caregivers ,Quality of Life ,Female ,Tracking (education) ,Smartphone ,Geriatrics and Gerontology ,Alzheimer's disease ,business ,Gerontology ,030217 neurology & neurosurgery - Abstract
Objectives:Misplacing objects is often reported as a clinically important symptom in dementia. Here we explored misplacing objects in relation to dementia type and stage in an online sample of individuals with dementia and their caregivers.Methods:Participants were recruited from www.dementiaguide.com, a web-based tracker for common dementia symptoms. Users provided information about symptoms that they selected as important for monitoring. We analysed cross-sectional data from respondents who tracked at least three symptoms, which allowed for staging dementia severity.Results:Of 2,775 users with three-plus symptoms, 787 (28%) identified misplacing objects for symptom tracking. Misplacing objects was monitored by users across all stages of dementia, but was more prevalent in mild and severe dementia. Three common clinical subtypes of misplacing were investigated: lost & found (forgetting the location of items), hidden away (hiding items so others would not find them), and odd places (putting items in usual spots). Of the 787, 96% targeted lost & found, the most frequent type. Odd places (targeted in 56%) significantly increased with dementia severity (p < 0.001). Misplacing objects was most strongly associated with the symptoms of interaction with strangers (OR 4.60, 95% CI: 3.20-6.62), reading (3.68: 2.86-4.73), shopping (3.55: 2.73-4.61) and travel/vacationing (3.31: 2.54-4.31).Conclusions:Misplacing objects was most often selected for tracking in mild and severe stages of dementia. As disease advances, misplacing more often reflects odd placement of objects rather than their simple loss. Misplacing objects may be a clinically important therapeutic target for improving patients’ quality of life and lessening caregiver burden.
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- 2019
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