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Deere R, Pallmann P, Shepherd V, Brookes-Howell L, Carson-Stevens A, Davies F, Dunphy E, Gupta P, Hickson M, Hill V, Ingarfield K, Ivins N, Jones F, Letchford R, Lowe R, Nash S, Otter P, Prout H, Randell E, Sewell B, Smith D, Trubey R, Wainwright T, Busse M, Button K. MulTI-domain self-management in older People wiTh OstEoarthritis and multi-morbidities: protocol for the TIPTOE randomised controlled trial. Trials 2024; 25:557. [PMID: 39180101 PMCID: PMC11344358 DOI: 10.1186/s13063-024-08380-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 08/06/2024] [Indexed: 08/26/2024] Open
Abstract
BACKGROUND Four out of five people living with osteoarthritis (OA) also suffer with at least one other long-term health condition. The complex interaction between OA and multiple long-term conditions (MLTCs) can result in difficulties with self-care, restricted mobility, pain, anxiety, depression and reduced quality of life. The aim of the MulTI-domain Self-management in Older People wiTh OstEoarthritis and Multi-Morbidities (TIPTOE) trial is to evaluate the clinical and cost-effectiveness of the Living Well self-management support intervention, co-designed with people living with OA, integrated into usual care, in comparison to usual care alone. METHODS TIPTOE is a multi-centre, two-arm, individually randomised controlled trial where 824 individuals over 65 years old with knee and/or hip joint pain from their OA affected joint and at least one other long-term health condition will be randomised to receive either the Living Well Self-Management support intervention or usual care. Eligible participants can self-refer onto the trial via a website or be referred via NHS services across Wales and England. Those randomised to receive the Living Well support intervention will be offered up to six one-to-one coaching sessions with a TIPTOE-trained healthcare practitioner and a co-designed book. Participants will be encouraged to nominate a support person to assist them throughout the study. All participants will complete a series of self-reported outcome measures at baseline and 6- and 12-month follow-up. The primary outcome is symptoms and quality of life as assessed by the Musculoskeletal Health Questionnaire (MSK-HQ). Routine data will be used to evaluate health resource use. A mixed methods process evaluation will be conducted alongside the trial to inform future implementation should the TIPTOE intervention be found both clinically and cost-effective. An embedded 'Study Within A Project' (SWAP) will explore and address barriers to the inclusion of under-served patient groups (e.g. oldest old, low socioeconomic groups, ethnic groups). DISCUSSION TIPTOE will evaluate the clinical and cost-effectiveness of a co-designed, living well personalised self-management support intervention for older individuals with knee and/or hip OA and MLTCs. The trial has been designed to maximise inclusivity and access. TRIAL REGISTRATION ISRCTN 16024745 . Registered on October 16, 2023.
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Affiliation(s)
- Rachel Deere
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Philip Pallmann
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Victoria Shepherd
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Lucy Brookes-Howell
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Andrew Carson-Stevens
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - Ffion Davies
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Emma Dunphy
- Healthcare NHS Foundation Trust is Homerton Hospital, Homerton Row, London, E9 6SR, UK
| | - Preeti Gupta
- Cardiff and Vale University Health Board, Heath Park, Cardiff, CF14 4XN, UK
| | - Mary Hickson
- School of Health Professions, University of Plymouth, Plymouth, UK
| | - Val Hill
- Public and Patient Involvement Member C/O Centre for Trials Research, Cardiff University, Cardiff, UK
| | - Kate Ingarfield
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Nicola Ivins
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Fiona Jones
- Population Health Research Institute, St George's University, London, UK
- Bridges Self-Management, St George's University, London, UK
| | - Robert Letchford
- Cardiff and Vale University Health Board, Heath Park, Cardiff, CF14 4XN, UK
| | - Rachel Lowe
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Sarah Nash
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Paula Otter
- Bridges Self-Management, St George's University, London, UK
| | - Hayley Prout
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Elizabeth Randell
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Bernadette Sewell
- Faculty of Medicine, Health and Life Science, Swansea Centre for Health Economics, Swansea University, Swansea, UK
| | - Debs Smith
- Public and Patient Involvement Member C/O Centre for Trials Research, Cardiff University, Cardiff, UK
| | - Robert Trubey
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Tom Wainwright
- Orthopaedic Research Institute, Bournemouth University, Bournemouth, UK
| | - Monica Busse
- Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Kate Button
- School of Healthcare Sciences, Cardiff University, Cardiff, UK.
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Greeley B, Chung SS, Graves L, Song X. Combating Barriers to the Development of a Patient-Oriented Frailty Website. JMIR Aging 2024; 7:e53098. [PMID: 38807317 DOI: 10.2196/53098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/02/2024] [Accepted: 03/07/2024] [Indexed: 05/30/2024] Open
Abstract
Unlabelled This viewpoint article, which represents the opinions of the authors, discusses the barriers to developing a patient-oriented frailty website and potential solutions. A patient-oriented frailty website is a health resource where community-dwelling older adults can navigate to and answer a series of health-related questions to receive a frailty score and health summary. This information could then be shared with health care professionals to help with the understanding of health status prior to acute illness, as well as to screen and identify older adult individuals for frailty. Our viewpoints were drawn from 2 discussion sessions that included caregivers and care providers, as well as community-dwelling older adults. We found that barriers to a patient-oriented frailty website include, but are not limited to, its inherent restrictiveness to frail persons, concerns over data privacy, time commitment worries, and the need for health and lifestyle resources in addition to an assessment summary. For each barrier, we discuss potential solutions and caveats to those solutions, including assistance from caregivers, hosting the website on a trusted source, reducing the number of health questions that need to be answered, and providing resources tailored to each users' responses, respectively. In addition to screening and identifying frail older adults, a patient-oriented frailty website will help promote healthy aging in nonfrail adults, encourage aging in place, support real-time monitoring, and enable personalized and preventative care.
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Polley MJ, Barker RE, Collaco NB, Cam C, Appleton J, Seers HE. Developing a framework of concerns from people living with frailty, for the Measure Yourself Concerns and Wellbeing (MYCaW) person-centred outcome measure. BMJ Open Qual 2024; 13:e002689. [PMID: 38296605 PMCID: PMC10831418 DOI: 10.1136/bmjoq-2023-002689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/25/2024] [Indexed: 02/03/2024] Open
Abstract
INTRODUCTION Measure Yourself Concerns and Wellbeing is a validated person-centred outcome measure, piloted as a core monitoring tool to understand what matters to people living with frailty in Gloucestershire. This paper describes the acceptability of MYCaW used in this setting, and the development of a framework for analysing personalised concerns from people living with frailty. METHODS MYCaW was implemented in the Complex Care at Home service and South Cotswold Frailty Service from November 2020 onwards. MYCaW was completed at the person's first meeting with a community matron and then 3 months later. Nineteen staff completed an anonymous survey to provide feedback on the acceptability of the tool. A framework of concerns bespoke to people living with frailty was created via iterative rounds of independent coding of 989 concerns from 526 people. The inter-rater reliability of the framework was determined by using the Cronbach alpha test. RESULTS MYCaW was simple to use and helped health professionals' discussions to be patient focused. A pictorial scale accompanying the Numerical Rating Scale was developed and tested to help people engage with scoring their concerns and well-being more easily. A framework of concerns from people living with frailty was produced with five main supercategories: Mental and Emotional Concerns; Physical Concerns; Healthcare and Service Provision Concerns, Concerns with General Health and Well-being and Practical Concerns. Inter-rater reliability was kappa=0.905. CONCLUSIONS MYCaW was acceptable as a core monitoring tool for people living with frailty and enabled a systematic approach to opening 'What Matters to Me' conversations. The personalised data generated valuable insights into how the frailty services positively impacted the outcomes for people living with frailty. The coding framework demonstrated a wide range of concerns-many linked to inequalities and not identified on existing outcome measures recommended for people living with frailty.
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Affiliation(s)
- Marie J Polley
- Research and Development, Meaningful Measures Ltd, Bristol, Somerset, UK
| | - Ruth E Barker
- Health Innovation Wessex, Southampton, Hampshire, UK
| | - Niçole B Collaco
- Research and Development, Meaningful Measures Ltd, Bristol, Somerset, UK
| | - Christine Cam
- NHS Gloucestershire, Brockworth, Gloucestershire, UK
| | - Joanne Appleton
- NHS England and NHS Improvement South West, Taunton, Somerset, UK
| | - Helen E Seers
- Research and Development, Meaningful Measures Ltd, Bristol, Somerset, UK
- Q Community, The Health Foundation, London, UK
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Bohnsack A, Faig K, Cook A, Gionet S, Shanks J, Benjamin S, Steeves A, MacLellan C, Flewelling AJ, McGibbon C, Jarrett P. Retrospective Use of the Pictorial Fit-Frail Scale for Determination of Frailty Level in Hospitalized Older Adults with a Hip Fracture. Can Geriatr J 2023; 26:400-404. [PMID: 37662061 PMCID: PMC10444532 DOI: 10.5770/cgj.26.689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023] Open
Abstract
The Pictorial Fit-Frail Scale (PFFS) is a frailty tool consisting of visual images to comprehensively assess frailty across 14 domains that can be completed by health professionals, patients, or caregivers. The objective of this study was to explore the feasibility of using the PFFS retrospectively to determine a patient's frailty level using data from the hospital electronic health records (EHRs) of older adults admitted with an isolated hip fracture. A random sample of 200 hip fracture patients admitted to a Level 1 Trauma Center hospital in New Brunswick was selected for review using the PFFS. The majority (94.5%) of hospital EHRs contained the clinical information needed to populate most of the 14 PFFS domains, allowing for determination of a frailty score. The mean raw PFFS frailty score was 9.7 (SD 6.6), consistent with moderate frailty. For all patients, a Frailty Index (FI) score was calculated, with the mean being 0.27 (SD 0.18), again consistent with moderate frailty. Comparing the PFFS score to the FI score, the percentage categorized as not frail or very mildly frail fell from 33.3% to 20.1%, and those considered severely frail rose from 30.7% to 34.9%. The PFFS can be successfully used retrospectively with hospital EHRs to determine the frailty level of older patients. When converted to the FI score, there was an increase in the frequency and severity of frailty. This tool may provide a useful way to stratify older adults by frailty that can be helpful in evaluating health outcomes based on frailty levels.
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Affiliation(s)
| | | | - Allyson Cook
- Dalhousie Medicine New Brunswick, Saint John, NB
| | | | - Josh Shanks
- Dalhousie Medicine New Brunswick, Saint John, NB
| | | | | | - Cameron MacLellan
- Horizon Health Network, Saint John, NB
- Department of Community Health and Epidemiology, Dalhousie University, Saint John, NB
| | | | - Chris McGibbon
- Faculty of Kinesiology, University of New Brunswick, Fredericton, NB
- Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB
| | - Pamela Jarrett
- Horizon Health Network, Saint John, NB
- Dalhousie Medicine New Brunswick, Saint John, NB
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Theou O, O'Brien MW, Godin J, Blanchard C, Cahill L, Hajizadeh M, Hartley P, Jarrett P, Kehler DS, Romero-Ortuno R, Visvanathan R, Rockwood K. Interrupting bedtime to reverse frailty levels in acute care: a study protocol for the Breaking Bad Rest randomized controlled trial. BMC Geriatr 2023; 23:482. [PMID: 37563553 PMCID: PMC10416381 DOI: 10.1186/s12877-023-04172-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/15/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND Hospitalized older patients spend most of the waking hours in bed, even if they can walk independently. Excessive bedrest contributes to the development of frailty and worse hospital outcomes. We describe the study protocol for the Breaking Bad Rest Study, a randomized clinical trial aimed to promoting more movement in acute care using a novel device-based approach that could mitigate the impact of too much bedrest on frailty. METHODS Fifty patients in a geriatric unit will be randomized into an intervention or usual care control group. Both groups will be equipped with an activPAL (a measure of posture) and StepWatch (a measure of step counts) to wear throughout their entire hospital stay to capture their physical activity levels and posture. Frailty will be assessed via a multi-item questionnaire assessing health deficits at admission, weekly for the first month, then monthly thereafter, and at 1-month post-discharge. Secondary measures including geriatric assessments, cognitive function, falls, and hospital re-admissions will be assessed. Mixed models for repeated measures will determine whether daily activity differed between groups, changed over the course of their hospital stay, and impacted frailty levels. DISCUSSION This randomized clinical trial will add to the evidence base on addressing frailty in older adults in acute care settings through a devices-based movement intervention. The findings of this trial may inform guidelines for limiting time spent sedentary or in bed during a patient's stay in geriatric units, with the intention of scaling up this study model to other acute care sites if successful. TRIAL REGISTRATION The protocol has been registered at clinicaltrials.gov (identifier: NCT03682523).
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Affiliation(s)
- Olga Theou
- School of Physiotherapy, Dalhousie University, Halifax, NS, Canada.
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada.
| | - Myles W O'Brien
- School of Physiotherapy, Dalhousie University, Halifax, NS, Canada
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
- Department of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Judith Godin
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
| | - Chris Blanchard
- Department of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Leah Cahill
- Department of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Mohammad Hajizadeh
- School of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada
| | - Peter Hartley
- Department of Physiotherapy, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Pamala Jarrett
- Geriatric Medicine, Horizon Health Network, Dalhousie University, Saint John, New Brunswick, Canada
| | - Dustin Scott Kehler
- School of Physiotherapy, Dalhousie University, Halifax, NS, Canada
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
| | - Roman Romero-Ortuno
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Renuka Visvanathan
- Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, School of Medicine, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia
- Aged and Extended Care Services, The Queen Elizabeth Hospital and Basil Hetzel Institute, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Kenneth Rockwood
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
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Voukelatou P, Kyvetos A, Kollia D, Ellisaiou P, Vrettos I. Translation of the Pictorial Fit-Frail Scale Into the Greek Language and Examination of Its Validity and Reliability. Cureus 2023; 15:e41553. [PMID: 37554610 PMCID: PMC10405557 DOI: 10.7759/cureus.41553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND For the evaluation of frailty, a great variety of research tools are used internationally; however, only two have been translated and validated in Greek. The aim of the study was to translate the Pictorial Fit-Frail Scale (PFFS) into the Greek language and examine its validity and reliability. METHODS Initially, the PFFS scale was translated into the Greek language through a six-step process. Subsequently, in a sample of 157 elderly patients (47.1% women), construct validity was examined with the known-groups method using the one-way ANOVA test and criterion concurrent validity by comparison with the Clinical Frailty Scale (CFS) using Pearson's correlation coefficient. Finally, inter-rater reliability and test-retest reliability were checked using the intraclass correlation coefficient. RESULTS A comparison of known groups showed that older patients with greater dependence on activities of daily living, greater impairment of cognitive function, reduced mobility, balance, and swallowing disorders, as well as those who were socially withdrawn, scored higher on the PFFS scale, supporting the construct validity. The positive correlation between PFFS and CFS (r = 0.625, p ≤ 0.001) demonstrated the concurrent criterion validity of the PFFS scale. Intraclass correlation was excellent for both inter-rater reliability (0.951 (95% CI: 0.934-0.964)) and test-retest reliability (0.948 (95% CI: 0.930-0.962)). CONCLUSION The translated PFFS scale in Greek is a valid and reliable tool.
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Affiliation(s)
- Panagiota Voukelatou
- 2nd Department of Internal Medicine, General and Oncology Hospital of Kifissia "Agioi Anargyroi", Athens, GRC
| | - Andreas Kyvetos
- 2nd Department of Internal Medicine, General and Oncology Hospital of Kifissia "Agioi Anargyroi", Athens, GRC
| | - Dafni Kollia
- 2nd Department of Internal Medicine, General and Oncology Hospital of Kifissia "Agioi Anargyroi", Athens, GRC
| | - Pantelitsa Ellisaiou
- 2nd Department of Internal Medicine, General and Oncology Hospital of Kifissia "Agioi Anargyroi", Athens, GRC
| | - Ioannis Vrettos
- 2nd Department of Internal Medicine, General and Oncology Hospital of Kifissia "Agioi Anargyroi", Athens, GRC
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Cooper L, Deeb A, Dezube AR, Mazzola E, Dumontier C, Bader AM, Theou O, Jaklitsch MT, Frain LN. Validation of the Pictorial Fit-Frail Scale in a Thoracic Surgery Clinic. Ann Surg 2023; 277:e1150-e1156. [PMID: 35129471 PMCID: PMC9300765 DOI: 10.1097/sla.0000000000005381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVE Examine feasibility and construct validity of Pictorial Fit-Frail scale (PFFS) for the first time in older surgical patients. BACKGROUND The PFFS uses visual images to measure health state in 14 domains and has been previously validated in outpatient geriatric clinics. METHODS Patients ≥65 year-old who were evaluated in a multidisciplinary thoracic surgery clinic from November 2020 to May 2021 were prospectively included. Patients completed an in-person PFFS and Vulnerable Elders Survey (VES-13) during their visit, and a frailty index was calculated from the PFFS (PFFStrans). A geriatrician performed a comprehensive geriatric assessment (CGA) either in-person or virtually, from which a Frailty Index (FI-CGA) and Frailty Questionnaire (FRAIL) scale were obtained. To assess the validity of the PFFS in this population, the Spearman rank correlations (r spearman ) between PFFS trans and VES-13, FI-CGA, FRAIL were calculated. RESULTS All 49 patients invited to participate agreed, of which 46/49 (94%) completed the PFFS so a score could be calculated. The majority of patients (59%) underwent an in-person CGA and the reminder (41%) a virtual CGA. The cohort was mainly female (59.0%), with a median age of 77 (range: 67-90). The median PFFS trans was 0.27 (interquartile range [IQR] 0.12-0.34), PFFS was 11 (IQR 5-14), and 0.24 (IQR 0.13-0.32) for FI-CGA. We observed a strong correlation between the PFFS trans and FI-CGA (r spearman = 0.81, P < 0.001) and a moderate correlation between PFFS trans and VES-13 and FRAIL score (r spearman = 0.68 and 0.64 respectively, P < 0.001). CONCLUSIONS PFFS had good feasibility and construct validity among older surgical patients when compared to previously validated frailty measurements.
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Affiliation(s)
- Lisa Cooper
- Division of Aging, Brigham and Women’s Hospital, Boston, MA
- Geriatric Medicine, Rabin Medical Center, Petach Tikva, Israel
| | - Ashley Deeb
- Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital, Boston, MA
| | - Aaron R Dezube
- Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital, Boston, MA
| | - Emanuele Mazzola
- Department of Data Science, Dana Farber Cancer Institute, Boston, MA
| | - Clark Dumontier
- Division of Aging, Brigham and Women’s Hospital, Boston, MA
- New England GRECC (Geriatrics Research, Education and Clinical Center), VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Angela M Bader
- Department of Anesthesiology, Brigham and Women’s Hospital, Boston, MA
- Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston, MA
| | - Olga Theou
- Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada
- Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Michael T Jaklitsch
- Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital, Boston, MA
| | - Laura N Frain
- Division of Aging, Brigham and Women’s Hospital, Boston, MA
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Lithander FE, Tenison E, Ypinga J, Halteren A, Smith MD, Lloyd K, Richfield EW, Brazier DE, Breasail MÓ, Smink AJ, Metcalfe C, Hollingworth W, Bloem B, Munneke M, Ben-Shlomo Y, Darweesh SKL, Henderson EJ. Proactive and Integrated Management and Empowerment in Parkinson's Disease protocol for a randomised controlled trial (PRIME-UK) to evaluate a new model of care. Trials 2023; 24:147. [PMID: 36849987 PMCID: PMC9969590 DOI: 10.1186/s13063-023-07084-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 12/20/2022] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND People living with Parkinson's disease experience progressive motor and non-motor symptoms, which negatively impact on health-related quality of life and can lead to an increased risk of hospitalisation. It is increasingly recognised that the current care models are not suitable for the needs of people with parkinsonism whose care needs evolve and change as the disease progresses. This trial aims to evaluate whether a complex and innovative model of integrated care will increase an individual's ability to achieve their personal goals, have a positive impact on health and symptom burden and be more cost-effective when compared with usual care. METHODS This is a single-centre, randomised controlled trial where people with parkinsonism and their informal caregivers are randomised into one of two groups: either PRIME Parkinson multi-component model of care or usual care. Adults ≥18 years with a diagnosis of parkinsonism, able to provide informed consent or the availability of a close friend or relative to act as a personal consultee if capacity to do so is absent and living in the trial geographical area are eligible. Up to three caregivers per patient can also take part, must be ≥18 years, provide informal, unpaid care and able to give informed consent. The primary outcome measure is goal attainment, as measured using the Bangor Goal Setting Interview. The duration of enrolment is 24 months. The total recruitment target is n=214, and the main analyses will be intention to treat. DISCUSSION This trial tests whether a novel model of care improves health and disease-related metrics including goal attainment and decreases hospitalisations whilst being more cost-effective than the current usual care. Subject to successful implementation of this intervention within one centre, the PRIME Parkinson model of care could then be evaluated within a cluster-randomised trial at multiple centres.
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Affiliation(s)
- Fiona E. Lithander
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK ,grid.9654.e0000 0004 0372 3343Liggins Institute, University of Auckland, Auckland, 1142 New Zealand ,grid.9654.e0000 0004 0372 3343Department of Nutrition and Dietetics, University of Auckland, Auckland, 1142 New Zealand
| | - Emma Tenison
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK
| | - Jan Ypinga
- grid.10417.330000 0004 0444 9382Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Angelika Halteren
- grid.10417.330000 0004 0444 9382Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Matthew D. Smith
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK
| | - Katherine Lloyd
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK
| | - Edward W. Richfield
- grid.416201.00000 0004 0417 1173North Bristol NHS Trust, Southmead Hospital, Westbury-on-Trym, Bristol, BS10 5NB UK
| | - Danielle E. Brazier
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK
| | - Mícheál Ó. Breasail
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK
| | - Agnes J. Smink
- grid.10417.330000 0004 0444 9382Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Chris Metcalfe
- grid.5337.20000 0004 1936 7603Bristol Randomised Trials Collaboration, Bristol Trials Centre, University of Bristol, Bristol, BS8 2PS UK
| | - William Hollingworth
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK ,grid.5337.20000 0004 1936 7603Bristol Randomised Trials Collaboration, Bristol Trials Centre, University of Bristol, Bristol, BS8 2PS UK
| | - Bas Bloem
- grid.10417.330000 0004 0444 9382Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Marten Munneke
- grid.10417.330000 0004 0444 9382Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Yoav Ben-Shlomo
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK
| | - Sirwan K. L. Darweesh
- grid.10417.330000 0004 0444 9382Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Emily J. Henderson
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU UK ,grid.413029.d0000 0004 0374 2907Royal United Hospitals Bath NHS Foundation Trust, Combe Park, Bath, BA1 3NG UK
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Wild H, Stewart BT, LeBoa C, Jewell T, Mehta K, Wren SM. Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review. World J Surg 2023; 47:1092-1113. [PMID: 36631590 DOI: 10.1007/s00268-023-06893-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/25/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND No validated perioperative risk assessment models currently exist for use in humanitarian settings. To inform the development of a perioperative mortality risk assessment model applicable to humanitarian settings, we conducted a scoping review of the literature to identify reports that described perioperative risk assessment in surgical care in humanitarian settings and LMICs. METHODS We conducted a scoping review of the literature to identify records that described perioperative risk assessment in low-resource or humanitarian settings. Searches were conducted in databases including: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, World Health Organization Catalog, and Google Scholar. RESULTS Our search identified 1582 records. After title/abstract and full text screening, 50 reports remained eligible for analysis in quantitative and qualitative synthesis. These reports presented data from over 37 countries from public, NGO, and military facilities. Data reporting was highly inconsistent: fewer than half of reports presented the indication for surgery; less than 25% of reports presented data on injury severity or prehospital data. Most elements of perioperative risk models designed for high-resource settings (e.g., vital signs, laboratory data, and medical comorbidities) were unavailable. CONCLUSION At present, no perioperative mortality risk assessment model exists for use in humanitarian settings. Limitations in consistency and quality of data reporting are a primary barrier, however, can be addressed through data-driven identification of several key variables encompassed by a minimum dataset. The development of such a score is a critical step toward improving the quality of care provided to populations affected by conflict and protracted humanitarian crises.
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Affiliation(s)
- Hannah Wild
- Department of Surgery, University of Washington, 1959 NE Pacific St., Seattle, WA, 98195, USA.
| | - Barclay T Stewart
- Department of Surgery, University of Washington, 1959 NE Pacific St., Seattle, WA, 98195, USA
- Global Injury Control Section, Harborview Injury Prevention and Research Center, Seattle, WA, USA
| | - Christopher LeBoa
- Department of Environmental Health Sciences, University of California Berkeley, Berkeley, CA, USA
| | - Teresa Jewell
- Health Science Library, University of Washington, Seattle, WA, USA
| | - Kajal Mehta
- Department of Surgery, University of Washington, 1959 NE Pacific St., Seattle, WA, 98195, USA
| | - Sherry M Wren
- Stanford University School of Medicine, Stanford, CA, USA
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Liu X, Gao Y, Zhao J, Zhou M, Wan L, Nie G, Wang Y. Reliability of pictorial Longshi Scale for informal caregivers to evaluate the functional independence and disability. Nurs Open 2022; 10:1852-1862. [PMID: 36336801 PMCID: PMC9912417 DOI: 10.1002/nop2.1448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 09/28/2022] [Accepted: 10/11/2022] [Indexed: 11/09/2022] Open
Abstract
AIM The pictorial Longshi Scale was designed to assess patients' functional ability in the Chinese context, which is gradually used by some informal caregivers. However, its reliability compared with healthcare professionals has not been examined. DESIGN A multi-centre cross-sectional study conducted in 24 Chinese hospitals. METHODS We recruited patients undergoing rehabilitation treatment and informal caregiver dyads. Informal caregivers and healthcare professionals evaluated patients' functional ability using the Longshi Scale according to three levels (bedridden, domestic and community). The Kappa coefficient and McNemar-Bowker test were used to examine the consistency and accuracy between the two parallel assessments. RESULTS This study involved 947 patients (mean age: 46.07 ± 11.72 years) and informal caregiver dyads (64.86 ± 12.94 years). Most patients were males (66.3%), while most caregivers were females (60.7%). Over 70% of patients and caregiver dyads had a secondary-school education and lower. Around 90% of caregivers were relatives (spouse, 42.8%; offspring, 20.7%; siblings: 13.3%; parent, 12.0%) of patients. The agreement in sub-levels of the Longshi Scale between caregivers and healthcare professionals ranges from 73%-89%, and the corresponding Kappa coefficients range from 0.504-0.786. Caregivers were more likely to assign fewer patients to the bedridden group and more to the domestic group than healthcare professionals. The subgroup analysis by education level indicated that the difference in assigning patients into three degrees of functional disability was only significant in those with primary-school education, while non-significant in those with secondary-school education and higher. CONCLUSION The evaluation outcomes of functional ability using the Longshi Scale are similar between informal caregivers and healthcare professionals. However, informal caregivers' education level is a dominant factor in affecting the assessment accuracy compared with healthcare professionals. Informal caregivers with a secondary-school education and higher are supported to evaluate patients' functional ability independently.
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Affiliation(s)
- Xiangxiang Liu
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Yan Gao
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Jingpu Zhao
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Mingchao Zhou
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Li Wan
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Guohui Nie
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Yulong Wang
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
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11
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Frailty in Nursing Homes-A Prospective Study Comparing the FRAIL-NH and the Clinical Frailty Scale. J Am Med Dir Assoc 2022; 23:1717.e1-1717.e8. [PMID: 36065096 DOI: 10.1016/j.jamda.2022.07.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/23/2022] [Accepted: 07/26/2022] [Indexed: 11/20/2022]
Abstract
OBJECTIVES Frailty is common in nursing home (NH) residents, but its prevalence in German institutions is unknown. Valid and easy-to-use screening tools are needed to identify frail residents. We used the FRAIL-NH scale and the Clinical Frailty Scale (CFS) to (1) obtain the prevalence of frailty, (2) investigate the agreement between both instruments, and (3) evaluate their predictive validity for adverse health events in German NH residents. DESIGN Prospective cohort study. SETTING AND PARTICIPANTS German NH residents (n = 246, age 84 ± 8 years, 67% female). METHODS Frailty status was categorized according to FRAIL-NH (nonfrail, frail, most frail) and CFS (not frail, mild to moderately frail, severely frail). Agreement between instruments was examined by Spearman correlation, an area under the receiver operating characteristic curve (AUC) with 95% CI, and sensitivity and specificity using the "most frail" category of FRAIL-NH as reference standard. Adverse health events (death, hospital admissions, falls) were recorded for 12 months, and multivariate cox and logistic regression models calculated. RESULTS According to FRAIL-NH, 71.1% were most frail, 26.4% frail, and 2.5% nonfrail. According to CFS, 66.3% were severely frail, 26.8% mild to moderately frail, and 6.9% not frail. Both scales correlated significantly (r = 0.78; R2 = 60%). The AUC was 0.92 (95% CI 0.88-0.96). Using a CFS cutoff of 7 points, sensitivity was 0.90 and specificity 0.92. The frailest groups according to both instruments had an increased risk of death [FRAIL-NH hazard ratio (HR) 2.19, 95% CI 1.21-3.99; CFS HR 2.56, 95% CI 1.43-4.58] and hospital admission [FRAIL-NH odds ratio (OR) 1.95, 95% CI 1.06-3.58; CFS OR 1.79, 95% CI 1.01-3.20] compared to less frail residents. The FRAIL-NH predicted recurrent faller status (OR 2.57, 95% CI 1.23-5.39). CONCLUSIONS AND IMPLICATIONS Frailty is highly prevalent in German NH residents. Both instruments show good agreement despite different approaches and are able to predict adverse health outcomes. Based on our findings and because of its simple administration, CFS may be an alternative to FRAIL-NH for assessing frailty in NHs.
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Ahip SS, Ghazali SS, Theou O, Samad AA, Lukas S, Mustapha UK, Thompson MQ, Visvanathan R. The Pictorial Fit-Frail Scale-Malay version (PFFS-M): reliability and validity testing in Malaysian primary care. Fam Pract 2022; 40:290-299. [PMID: 35950311 DOI: 10.1093/fampra/cmac089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND This study investigated the reliability and convergent validity of the PFFS-Malay version (PFFS-M) among patients (with varying educational levels), caregivers, and health care professionals (HCPs). PFFS-M cutoffs for frailty severity were developed. METHODS This is a cross-sectional study from 4 primary care clinics where 240 patients aged >60 years and their caregivers were enrolled. Patients were assigned to a nurse or a health care assistant (HCA) for 2 separate PFFS-M assessments administered by HCPs of the same profession, as well as by a doctor during the first visit (inter-rater reliability). Patients were also administered the Self-Assessed Report of Personal Capacity & Healthy Ageing (SEARCH) tool, a 40-item frailty index, by a research officer. The correlation between patients' PFFS-M scores and SEARCH tool scores determined convergent validity. Patients returned 1 week later for PFFS-M reassessment by the same HCPs (test-retest reliability). Caregivers completed the PFFS-M for the patient at both clinic visits. Classification cut-points for the PFFS-M were derived against frailty categories defined through the SEARCH tool. RESULTS The inter-rater (intraclass correlation coefficient [ICC] = 0.92 [95% CI, 0.90-0.93)] and test-retest (ICC = 0.94 [95% CI, 0.92-0.95]) reliability between all raters was excellent, including by patients' education levels. The convergent validity was moderate (r = 0.637, p < 0.001), including for varying educational background. PFFS-M categories were identified as: 0-3, no frailty; 4-5, at risk of frailty; 6-8, mild frailty; 9-12, moderate frailty; and >13, severe frailty. CONCLUSION PFFS-M is a reliable and valid tool with frailty severity scores now established for use of this tool in primary care clinics.
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Affiliation(s)
- Sally S Ahip
- Kota Samarahan Health Clinic, Sarawak, Malaysia.,National Health and Medical Research Council Centre of Research Excellence, Adelaide Medical School and Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Sazlina S Ghazali
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.,Malaysian Research Institute on Ageing (MyAgeingTM), Universiti Putra Malaysia, Malaysia
| | - Olga Theou
- National Health and Medical Research Council Centre of Research Excellence, Adelaide Medical School and Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.,Physiotherapy and Medicine, Dalhousie University, Halifax, Dalhousie, Canada
| | - Azah A Samad
- Shah Alam Section 7 Health Clinic, Selangor, Malaysia
| | | | | | - Mark Q Thompson
- National Health and Medical Research Council Centre of Research Excellence, Adelaide Medical School and Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Renuka Visvanathan
- National Health and Medical Research Council Centre of Research Excellence, Adelaide Medical School and Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.,Aged and Extended Care Services, The Queen Elizabeth Hospital and Basil Hetzel Institute, Central Adelaide Local Health Network, Adelaide, SA, Australia
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13
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Ahip SS, Shariff-Ghazali S, Lukas S, Abdul Samad A, Mustapha UK, Theou O, Visvanathan R. Translation, adaptation and pilot testing of the Pictorial Fit-Frail Scale (PFFS) for use in Malaysia - The PFFS-Malay version (PFFS-M). MALAYSIAN FAMILY PHYSICIAN : THE OFFICIAL JOURNAL OF THE ACADEMY OF FAMILY PHYSICIANS OF MALAYSIA 2021; 16:27-36. [PMID: 34386161 PMCID: PMC8346751 DOI: 10.51866/oa1036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
BACKGROUND Frailty is an important health issue in an aging population; it is a state of vulnerability that renders the elderly susceptible to adverse health outcomes, including disability, hospitalization, long-term care admission and death. Early frailty stages are recognizable through screening and are reversible with targeted interventions. To date, however, there is no screening tool for use in Malaysia. The English Pictorial Fit-Frail Scale (PFFS) is a visual tool that assesses a person's fitness-frailty level in 14 health domains, with higher scores indicating higher frailty. OBJECTIVE The aim was to translate and adapt the English PFFS for use in Malaysian clinical settings. METHODS The original English PFFS underwent forward and backward-translation by two bilingual translators to and from the Malay language. A finalized version, the PFFS-Malay (PFFS-M), was formed after expert reviewers' consensus and was pilot tested with 20 patients, 20 caregivers, 16 healthcare assistants, 17 nurses and 22 doctors. Score agreement between patients and their caregivers and among healthcare professionals were assessed. All participants rated their understanding of the scale using the feasibility survey forms. RESULTS A total of 95 participants were included. There were high percentages of scoring agreements among all participants on the scale (66.7% to 98.9%). Overall feedback from all respondents were positive and supported the face validity of the PFFS-M. CONCLUSION The PFFS-M reflects an accurate translation for the Malaysian population. The scale is usable and feasible and has face validity. Reliability and predictive validity assessments of the PFFS-M are currently underway.
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Affiliation(s)
| | - Sazlina Shariff-Ghazali
- MBBS, MMed, PhD Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Malaysia
- Malaysian Research Institute on Ageing (MyAgeingTM), Universiti Putra Malaysia, Malaysia
| | | | - Azah Abdul Samad
- MBBS, MMed, Shah Alam Section 7 Health Clinic, Selangor, Malaysia
| | | | - Olga Theou
- PhD, Physiotherapy and Medicine, Dalhousie University, Halifax, Canada
| | - Renuka Visvanathan
- MBBS, FRACP, MBA, PhD, Aged and Extended Care Services, The Queen Elizabeth Hospital Central, Adelaide Local Health Network and The University of Adelaide, Adelaide, Australia
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Abstract
There is growing interest in conceptualizing and diagnosing frailty. Less is understood, however, about older adults' perceptions of the term "frail", and the implications of being classified as "frail". The purpose of this scoping review was to map the breadth of primary studies; and describe the meaning, perceptions, and perceived implications of frailty language amongst community-dwelling older adults. Eight studies were included in the review and three core themes were identified: (1) understanding frailty as inevitable age-related decline in multiple domains, (2) perceiving frailty as a generalizing label, and (3) perceiving impacts of language on health and health care utilization. Clinical practice recommendations for health care professionals working with individuals with frailty include: (1) maintaining a holistic view of frailty that extends beyond physical function to include psychosocial and environmental constructs, (2) using person-first language, and (3) using a strengths-based approach to discuss aspects of frailty.
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15
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Andrew MK, Schmader KE, Rockwood K, Clarke B, McElhaney JE. Considering Frailty in SARS-CoV-2 Vaccine Development: How Geriatricians Can Assist. Clin Interv Aging 2021; 16:731-738. [PMID: 33953551 PMCID: PMC8088982 DOI: 10.2147/cia.s295522] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 04/02/2021] [Indexed: 12/15/2022] Open
Abstract
The COVID-19 pandemic has disproportionately impacted frail older adults, especially residents of long-term care (LTC) facilities. This has appropriately led to prioritization of frail older adults and LTC residents, and those who care for them, in the vaccination effort against COVID-19. Older adults have distinct immunological, clinical, and practical complexity, which can be understood through a lens of frailty. Even so, frailty has not been considered in studies of COVID-19 vaccines to date, leading to concerns that the vaccines have not been optimally tailored for and evaluated in this population even as vaccination programs are being implemented. This is an example of how vaccines are often not tested in Phase 1/2/3 clinical trials in the people most in need of protection. We argue that geriatricians, as frailty specialists, have much to contribute to the development, testing and implementation of COVID-19 vaccines in older adults. We discuss roles for geriatricians in ten stages of the vaccine development process, covering vaccine design, trial design, trial recruitment, establishment and interpretation of illness definitions, safety monitoring, consideration of relevant health measures such as frailty and function, analysis methods to account for frailty and differential vulnerability, contributions in regulatory and advisory roles, post-marketing surveillance, and program implementation and public health messaging. In presenting key recommendations pertinent to each stage, we hope to contribute to a dialogue on how to push the field of vaccinology to embrace the complexity of frailty. Making vaccines that can benefit frail older adults will benefit everyone in the fight against COVID-19.
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Affiliation(s)
- Melissa K Andrew
- Department of Medicine, Division of Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology, Halifax, Nova Scotia, Canada
| | - Kenneth E Schmader
- Division of Geriatrics, Duke University Medical Center and GRECC, Durham Veterans Affairs Medical Center, Durham, North Carolina, USA
| | - Kenneth Rockwood
- Department of Medicine, Division of Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Barry Clarke
- Department of Family Medicine, Dalhousie University, Halifax, Canada
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16
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Ysea-Hill O, Sani TN, Nasr LA, Gomez CJ, Ganta N, Sikandar S, Theou O, Ruiz JG. Concurrent Validity of Pictorial Fit-Frail Scale (PFFS) in Older Adult Male Veterans with Different Levels of Health Literacy. Gerontol Geriatr Med 2021; 7:23337214211003804. [PMID: 35047654 PMCID: PMC8762487 DOI: 10.1177/23337214211003804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 02/24/2021] [Accepted: 02/26/2021] [Indexed: 12/31/2022] Open
Abstract
Introduction: Frailty is a state of vulnerability characterized by multisystemic physiological decline. The Pictorial Fit Frail Scale (PFFS) is a practical, image-based assessment that may facilitate the assessment of frailty in individuals with inadequate health literacy (HL). Objective: Determine the concurrent validity and feasibility of the PFFS in older Veterans with different levels of HL and cognition. Methods: Cross-sectional study in a geriatric clinic at a Veteran Health Administration (VHA) medical center. Veterans ≥65 years old completed a HL evaluation, PFFS, FRAIL scale and cognitive screening. We assessed the associations between PFFS, FRAIL scale, and VA-Frailty Index (VA-FI), and compared PFFS and FRAIL scale accuracy with a Receiver Operating Characteristic curve, Area Under the Curve (AUC) analysis, using the VA-FI as reference. Results: Eighty-three Veterans, mean age 76.20 (SD = 6.02) years, 65.1% Caucasian, 69.9% had inadequate HL, 57.8% were frail and 20.5% had cognitive impairment. All participants completed the 43 PFFS items. There were positive correlations between PFFS and VA-FI, r = .55 (95% CI: 0.365–0.735, p < .001), and FRAIL scale, r = .673 (95% CI: 0.509–0.836, p < .001). Compared to the VA-FI, the PFFS (AUC = 0.737; 95% CI: 0.629–0.844) and FRAIL scale (AUC = 0.724;95% CI: 0.615–0.824; p < .001) showed satisfactory diagnostic accuracy. Conclusions: The PFFS is valid and feasible in evaluating frailty in older Veterans with different levels of HL and cognition.
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Affiliation(s)
| | | | | | | | | | | | - Olga Theou
- Dalhousie University, Halifax, NS, Canada
| | - Jorge G Ruiz
- Miami VA Healthcare System, FL, USA.,University of Miami Miller, FL, USA
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17
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Pulok MH, Theou O, van der Valk AM, Rockwood K. The role of illness acuity on the association between frailty and mortality in emergency department patients referred to internal medicine. Age Ageing 2020; 49:1071-1079. [PMID: 32392289 PMCID: PMC7583513 DOI: 10.1093/ageing/afaa089] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 03/12/2020] [Accepted: 04/06/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND we investigated whether two frailty tools predicted mortality among emergency department (ED) patients referred to internal medicine and how the level of illness acuity influenced any association between frailty and mortality. METHODS two tools, embedded in a Comprehensive Geriatric Assessment (CGA), were the clinical frailty scale (CFS) and a 57-item deficit accumulation frailty index (FI-CGA). Illness acuity was assessed using the Canadian Triage and Acuity Scale (CTAS). We examined all-cause 30-day and 6-month mortality and time to death. RESULTS in 808 ED patients (mean age ± SD 80.8 ± 8.8, 54.4% female), the mean FI-CGA score was 0.44 ± 0.14, and the CFS was 5.6 ± 1.6. A minority (307; 38%) were classified as having high acuity (CTAS: 1-2). The 30-day mortality rate was 17%; this increased to 34% at 6 months. Compared to well patients with low acuity, the risk of 30-day mortality was 22.5 times (95% CI: 9.35-62.12) higher for severely frail patients with high acuity; 53% of people with very severe frailty (CFS = 8) and high acuity died within 30 days. When acuity was low, the risk for 30-day mortality was significantly higher only among those with very high levels of frailty (CFS 7-9, FI-CGA > 0.5). When acuity was high, even lower levels of frailty (CFS 5-6, FI-CGA 0.4-0.5) were associated with higher 30-day mortality. CONCLUSIONS across levels of frailty, higher acuity increased mortality risk. When acuity was low, the risk was significant only when the degree of frailty was high, whereas when acuity was high, even lower levels of frailty were associated with greater mortality risk.
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Affiliation(s)
| | - Olga Theou
- Geriatric Medicine Research, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
- School of Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Kenneth Rockwood
- Geriatric Medicine Research, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
- Divisions of Geriatric Medicine & Neurology, Dalhousie University & Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
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18
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Rockwood K, Theou O. Using the Clinical Frailty Scale in Allocating Scarce Health Care Resources. Can Geriatr J 2020; 23:210-215. [PMID: 32904824 PMCID: PMC7458601 DOI: 10.5770/cgj.23.463] [Citation(s) in RCA: 346] [Impact Index Per Article: 86.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The key idea behind the Clinical Frailty Scale (CFS) is that, as people age, they are more likely to have things wrong with them. Those things they have wrong (health deficits) can, as they accumulate, erode their ability to do the high order functions which define their overall health. These high order functions include being able to: think and do as they please; look after themselves; interact with other people; and move about without falling. The Clinical Frailty Scale brings that information together in one place. This paper is a guide for people new to the Clinical Frailty Scale. It also introduces an updated version (CFS version 2.0), with revised level names (e.g., "vulnerable" becomes "living with very mild frailty") and minor edits to level descriptions. The key points discussed are that the Clinical Frailty Scale assays the baseline state, it is not widely validated in younger people or those with stable single-system disabilities, and it requires clinical judgement. The Clinical Frailty Scale is now commonly used as a triage tool to make important clinical decisions such as allocating scarce health care resources for COVID-19 management; therefore, it is important that the scale is used appropriately.
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Affiliation(s)
- Kenneth Rockwood
- Division of Geriatric Medicine, Department of Medicine, Faculty of Medicine, Dalhousie University
| | - Olga Theou
- Division of Geriatric Medicine, Department of Medicine, Faculty of Medicine, Dalhousie University.,School of Physiotherapy, Faculty of Health, Dalhousie University, Halifax, NS
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19
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A pragmatic tool to identify aspects of frailty. Int Psychogeriatr 2020; 32:1019-1021. [PMID: 33025870 DOI: 10.1017/s1041610220000204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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20
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Kim DH. Measuring Frailty in Health Care Databases for Clinical Care and Research. Ann Geriatr Med Res 2020; 24:62-74. [PMID: 32743326 PMCID: PMC7370795 DOI: 10.4235/agmr.20.0002] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 02/10/2020] [Indexed: 12/23/2022] Open
Abstract
Considering the increasing burden and serious consequences of frailty in aging populations, there is increasing interest in measuring frailty in health care databases for clinical care and research. This review synthesizes the latest research on the development and application of 21 frailty measures for health care databases. Frailty measures varied widely in terms of target population (16 ambulatory, 1 long-term care, and 4 inpatient), data source (16 claims-based and 5 electronic health records [EHR]-based measures), assessment period (6 months to 36 months), data types (diagnosis codes required for 17 measures, health service codes for 7 measures, pharmacy data for 4 measures, and other information for 9 measures), and outcomes for validation (clinical frailty for 7 measures, disability for 7 measures, and mortality for 16 measures). These frailty measures may be useful to facilitate frailty screening in clinical care and quantify frailty for large database research in which clinical assessment is not feasible.
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Affiliation(s)
- Dae Hyun Kim
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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21
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McGarrigle L, Squires E, Wallace LMK, Godin J, Gorman M, Rockwood K, Theou O. Investigating the feasibility and reliability of the Pictorial Fit-Frail Scale. Age Ageing 2019; 48:832-837. [PMID: 31579907 DOI: 10.1093/ageing/afz111] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 06/20/2019] [Accepted: 06/30/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND the Pictorial Fit-Frail Scale (PFFS) was designed as a simple and practical approach to the identification of frailty. OBJECTIVES To investigate the feasibility and reliability of this visual image-based tool, when used by patients, caregivers and healthcare professionals (HCPs) in clinical settings. DESIGN observational study. SETTING three outpatient geriatric healthcare settings. SUBJECTS patients (n = 132), caregivers (n = 84), clinic nurses (n = 7) and physicians (n = 10). METHODS the PFFS was administered to all patients. Where available, HCPs and caregivers completed the scale based on the patients' health. In the geriatric day hospital, the PFFS was completed on admission and administered again within 7-14 days. Time and level of assistance needed to complete the scale were recorded. Intraclass correlation coefficients (ICCs) and 95% confidence intervals (CIs) were used to assess test-retest and inter-rater reliability. RESULTS mean time to complete the scale (minutes:seconds ± SD) was 4:30 ± 1:54 for patients, 3:13 ± 1:34 for caregivers, 1:28 ± 0:57 for nurses and 1:32 ± 1:40 for physicians. Most patients were able to complete the scale unassisted (64%). Mean patient PFFS score was 11.1 ± 5.3, mean caregiver score was 13.2 ± 6.3, mean nurse score was 10.7 ± 4.5 and mean physician score was 11.1 ± 5.6; caregiver scores were significantly higher than patient (P < 0.01), nurse (P < 0.001) and physician (P < 0.01) scores. Test-retest reliability was good for patients (ICC = 0.78, [95%CI = 0.67-0.86]) and nurses (ICC = 0.88 [0.80-0.93]). Inter-rater reliability between HCPs was also good (ICC = 0.75 [0.63-0.83]). CONCLUSION the PFFS is a feasible and reliable tool for use with patients, caregivers and HCPs in clinical settings. Further research on the validity and responsiveness of the tool is necessary.
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Affiliation(s)
- Lisa McGarrigle
- Geriatric Medicine Research, Centre for Health Care of the Elderly, Nova Scotia Health Authority, Halifax B3H 2E1, Nova Scotia, Canada
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax B3H 2E1, Nova Scotia, Canada
| | - Emma Squires
- Geriatric Medicine Research, Centre for Health Care of the Elderly, Nova Scotia Health Authority, Halifax B3H 2E1, Nova Scotia, Canada
| | - Lindsay M K Wallace
- Geriatric Medicine Research, Centre for Health Care of the Elderly, Nova Scotia Health Authority, Halifax B3H 2E1, Nova Scotia, Canada
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax B3H 2E1, Nova Scotia, Canada
| | - Judith Godin
- Geriatric Medicine Research, Centre for Health Care of the Elderly, Nova Scotia Health Authority, Halifax B3H 2E1, Nova Scotia, Canada
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax B3H 2E1, Nova Scotia, Canada
| | - Mary Gorman
- Geriatric Medicine Research, Centre for Health Care of the Elderly, Nova Scotia Health Authority, Halifax B3H 2E1, Nova Scotia, Canada
- St. Martha’s Regional Hospital, Antigonish, Nova Scotia, Canada
| | - Kenneth Rockwood
- Geriatric Medicine Research, Centre for Health Care of the Elderly, Nova Scotia Health Authority, Halifax B3H 2E1, Nova Scotia, Canada
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax B3H 2E1, Nova Scotia, Canada
| | - Olga Theou
- Geriatric Medicine Research, Centre for Health Care of the Elderly, Nova Scotia Health Authority, Halifax B3H 2E1, Nova Scotia, Canada
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax B3H 2E1, Nova Scotia, Canada
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