Development of the assessment standards of the International Classification of Functioning, Disability, and Health (ICF) Geriatric Core Set through a modified Delphi method Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1186/s12877-024-04816-6
Background There is currently a lack of functional assessment tools based on the International Classification of Functioning, Disability, and Health (ICF) theoretical framework that are specific for older adults. Objective The aim of the present study was to develop Chinese assessment standards of the ICF Geriatric Core Set for functional evaluation of older adults. Methods A two-stage study process was conducted to develop the assessment standards of the ICF Geriatric Core Set: establishment of candidate assessment standards, and a modified Delphi consensus process including a pilot survey and two-round formal expert survey. Thirty participants in the field of ICF and geriatric rehabilitation were recruited. The suitability of the assessment standards in the questionnaires was rated using a Likert 5-level scoring method. The arithmetic mean, the full mark ratio and the coefficient of variation (CV) were used as screening indicators for the assessment standards, and modification was made for several standards, in line with the Delphi results and the expert panel discussion. Results Thirty-three candidate assessment standards belonging to 17 categories were generated. A total of 26 and 24 experts in the field of ICF and geriatric rehabilitation participated in the two-round survey, respectively. Five standards belonging to four categories entered into the second-round survey directly, five standards belonged to five categories entered with minor modification, and nine standards belonging to seven categories were redesigned based on the literature and discussion of the expert panel. In the second-round survey,15 assessment standards belonging to 15 categories met the screening requirements and four assessment standards belonged to the two remaining categories that needed a criterion and which the expert panel discussed for the final decision. Conclusions Using the modified Delphi method, the assessment standards of the ICF Geriatric Core Set have been developed.Future work should focus on the reliability and validity of the the assessment standards and their application to the health management of older adults.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12877-024-04816-6
- https://bmcgeriatr.biomedcentral.com/counter/pdf/10.1186/s12877-024-04816-6
- OA Status
- gold
- Cited By
- 4
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392549876
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- OpenAlex ID
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https://openalex.org/W4392549876Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s12877-024-04816-6Digital Object Identifier
- Title
-
Development of the assessment standards of the International Classification of Functioning, Disability, and Health (ICF) Geriatric Core Set through a modified Delphi methodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-07Full publication date if available
- Authors
-
Malan Zhang, Yan Gao, Jingjing Xue, Kun Li, Lifang Zhang, Jiani Yu, Tiebin Yan, Xiaohui HouList of authors in order
- Landing page
-
https://doi.org/10.1186/s12877-024-04816-6Publisher landing page
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https://bmcgeriatr.biomedcentral.com/counter/pdf/10.1186/s12877-024-04816-6Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://bmcgeriatr.biomedcentral.com/counter/pdf/10.1186/s12877-024-04816-6Direct OA link when available
- Concepts
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Delphi method, International Classification of Functioning, Disability and Health, Medicine, Rehabilitation, Likert scale, Delphi, Family medicine, Gerontology, Physical therapy, Medical education, Psychology, Artificial intelligence, Computer science, Operating system, Developmental psychologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
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2025: 2, 2024: 2Per-year citation counts (last 5 years)
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44Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.evaluation | 51 |
| abstract_inverted_index.functional | 8, 50 |
| abstract_inverted_index.generated. | 172 |
| abstract_inverted_index.indicators | 139 |
| abstract_inverted_index.literature | 228 |
| abstract_inverted_index.management | 310 |
| abstract_inverted_index.recruited. | 104 |
| abstract_inverted_index.redesigned | 224 |
| abstract_inverted_index.standards, | 77, 143, 150 |
| abstract_inverted_index.Conclusions | 273 |
| abstract_inverted_index.Disability, | 18 |
| abstract_inverted_index.application | 306 |
| abstract_inverted_index.coefficient | 131 |
| abstract_inverted_index.discussion. | 161 |
| abstract_inverted_index.reliability | 296 |
| abstract_inverted_index.suitability | 106 |
| abstract_inverted_index.theoretical | 22 |
| abstract_inverted_index.Functioning, | 17 |
| abstract_inverted_index.Thirty-three | 163 |
| abstract_inverted_index.modification | 145 |
| abstract_inverted_index.participants | 94 |
| abstract_inverted_index.participated | 188 |
| abstract_inverted_index.requirements | 248 |
| abstract_inverted_index.second-round | 203, 237 |
| abstract_inverted_index.International | 14 |
| abstract_inverted_index.establishment | 73 |
| abstract_inverted_index.modification, | 215 |
| abstract_inverted_index.respectively. | 193 |
| abstract_inverted_index.Classification | 15 |
| abstract_inverted_index.questionnaires | 113 |
| abstract_inverted_index.rehabilitation | 102, 187 |
| abstract_inverted_index.developed.Future | 290 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.95001024 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |