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Hu HY, Hu MY, Nan JH, Cui PP, Feng H, Zhang JM. Employing the International Classifications of Functioning, Disability, and Health to identify relevant categories for disability evaluation in older adults from the research perspective: a systematic review. Eur J Phys Rehabil Med 2024; 60:903-915. [PMID: 39073357 PMCID: PMC11561473 DOI: 10.23736/s1973-9087.24.08320-5] [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: 11/07/2023] [Revised: 05/23/2024] [Accepted: 07/29/2024] [Indexed: 07/30/2024]
Abstract
INTRODUCTION The objective of this study was to identify relevant aspects for disability evaluation used in scientific literature for older adults. EVIDENCE ACQUISITION We employed a systematic review methodology as outlined by the ICF Research Branch. The methodology consists of four steps: 1) identifying studies that focus on disability evaluation among older adults; 2) identifying disability measures used in these studies; 3) linking the concepts contained in these measures to ICF categories; 4) conducting frequency analysis. EVIDENCE SYNTHESIS A total of 1942 concepts contained in disability measures from 137 studies were extracted. About 97.7% of the concepts could be linked, and 1862 concepts were linked to 52 second-level ICF categories. Of these, 44 categories found in at least 5% of the studies (range 5.1-85.4%) were selected to develop an outcome set that represents the relevant categories, including five categories in the Body Functions component and 39 categories from the Activities and Participation component. CONCLUSIONS The relevant categories identified in our study reflect the essential areas that measure disability for older adults, providing a scientific basis for developing an ICF Core Set for disability evaluation, in combination with further empirical study and expert survey. Information from the outcome set is also valuable for providing a standardized minimal set for disability measurement, which can be used for data comparison across different studies and the development of an ICF-based disability measurement tool.
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Affiliation(s)
- Heng-Yu Hu
- Department of Nursing, Henan Provincial Key Medicine Laboratory of Nursing, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China -
| | - Ming-Yue Hu
- Xiang Ya Nursing School, Central South University, Changsha, Hunan, China
| | - Jia-Hui Nan
- Xiang Ya Nursing School, Central South University, Changsha, Hunan, China
| | - Pan-Pan Cui
- Department of Nursing, Henan Provincial Key Medicine Laboratory of Nursing, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China
| | - Hui Feng
- Xiang Ya Nursing School, Central South University, Changsha, Hunan, China
| | - Jun-Mei Zhang
- Department of Nursing, Henan Provincial Key Medicine Laboratory of Nursing, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China
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Ashendorf L, Alosco ML, Bing-Canar H, Chapman KR, Martin B, Chaisson CE, Dixon D, Steinberg EG, Tripodis Y, Kowall NW, Stern RA. Clinical Utility of Select Neuropsychological Assessment Battery Tests in Predicting Functional Abilities in Dementia. Arch Clin Neuropsychol 2018; 33:530-540. [PMID: 29126099 PMCID: PMC6116785 DOI: 10.1093/arclin/acx100] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 08/21/2017] [Accepted: 10/02/2017] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Neuropsychological test performance can provide insight into functional abilities in patients with dementia, particularly in the absence of an informant. The relationship between neuropsychological measures and instrumental activities of daily living (IADLs) is unclear due to hetereogeneity in cognitive domains assessed and neuropsychological tests administered. Practical and ecologically valid performance-based measures of IADLs are also limited. The Neuropsychological Assessment Battery (NAB) is uniquely positioned to provide a dual-purpose assessment of cognitive and IADL function, as it includes Daily Living tests that simulate real-world functional tasks. We examined the utility of select NAB tests in predicting informant-reported IADLs in mild cognitive impairment and dementia. METHODS The sample of 327 participants included 128 normal controls, 97 individuals with mild cognitive impairment, and 102 individuals with Alzheimer's disease dementia from the Boston University Alzheimer's Disease Center research registry. Informants completed the Lawton Brody Instrumental Activities of Daily Living Scale, and study participants were administered selected NAB tests that were complementary to the existing protocol. RESULTS ROC curves showed strongest prediction of IADL (AUC > 0.90) for memory measures (List Learning delayed recall and Daily Living Memory delayed recall) and Daily Living Driving Scenes. At a predetermined level of specificity (95%), List Learning delayed recall (71%) and Daily Living Memory delayed recall (88%) were the most sensitive. The Daily Living Memory and Driving Scenes tests strongly predicted IADL status, and the other Daily Living tests contributed unique variance. CONCLUSIONS NAB memory measures and Daily Living Tests may have clinical utility in detecting informant-rated functional impairment in dementia.
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Affiliation(s)
- Lee Ashendorf
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, USA
- Edith Nourse Rogers Memorial Veterans Hospital, Bedford, Massachusetts, USA
| | - Michael L Alosco
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Hanaan Bing-Canar
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Kimberly R Chapman
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Brett Martin
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
- Data Coordinating Center, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Christine E Chaisson
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
- Data Coordinating Center, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Diane Dixon
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
- Data Coordinating Center, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Eric G Steinberg
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Yorghos Tripodis
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Neil W Kowall
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Pathology, Boston University School of Medicine, Boston, Massachusetts, USA
- Neurology Service, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Robert A Stern
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Departments of Neurosurgery, and Anatomy & Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA
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Measuring physical capacity and performance in older people. Best Pract Res Clin Rheumatol 2017; 31:243-254. [PMID: 29224699 DOI: 10.1016/j.berh.2017.11.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 11/03/2017] [Indexed: 01/06/2023]
Abstract
We highlight the important differences between the concepts of capacity and performance and highlight the development of measures and their application in common conditions encountered in health care practice with older people. A number of expert consensus projects have concluded that mobility, balance, muscle strength and dexterity are core domains for capacity measurement in older people. Instruments with evidence of adequate psychometric properties for the evaluation of capacity in response to intervention programmes include the Short Physical Performance Battery, hand grip strength, mini-BEST and 9-hole pegboard test. Measures that can track individual change and convey information that can be used to inform clinical decision-making, individual prognosis or prediction of events require greater precision. However, few such measures are available. Performance measurement usually focuses on basic or instrumental (advanced) Activities of Daily Living performed by people in their usual environments. Finally, we discuss the limitations of physical performance and capacity measures and future developments that may enhance the use of these measures in health and clinical care.
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Mlinac ME, Feng MC. Assessment of Activities of Daily Living, Self-Care, and Independence. Arch Clin Neuropsychol 2016; 31:506-16. [PMID: 27475282 DOI: 10.1093/arclin/acw049] [Citation(s) in RCA: 435] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/22/2016] [Indexed: 11/15/2022] Open
Abstract
Activities of daily living (ADL) comprise the basic actions that involve caring for one's self and body, including personal care, mobility, and eating. In this review article, we (1) review useful clinical tools including a discussion on ways to approach ADL assessment across settings, (2) highlight relevant literature evaluating the relationship between cognitive functioning and ADLs, (3) discuss other biopsychosocial factors affecting ADL performance, (4) provide clinical recommendations for enhancing ADL capacity with an emphasis on self-care tasks (eating, grooming, dressing, bathing and toileting), and (5) identify interventions that treatment providers can implement to reduce the burden of ADL care.
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Affiliation(s)
- Michelle E Mlinac
- VA Boston Healthcare System, Harvard Medical School, Boston, MA, USA
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