- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04835090
Comparison of Three Frailty Screening Tools
Comparison of the State Transition, Psychometric Attributes and Feasibility of Three Frailty Screening Tools in Community-dwelling Elderly
Study Overview
Detailed Description
This is a prospective study with six month follow-up among community-dwelling elderly aged 65 or older. Agreement between instruments, Frail state transition changes, feasibility, internal consistency, concurrent and predictive validity, convergent validity of instruments will be evaluated and compared. The participants' recruitment strategies will be through referrals by the personnel in outpatient department in a hospital, community care centers, health centers, C tiers of community care service system, love angel stations etc. We focused on three available instruments based on literature review and expert opinions for community-dwelling elderly care: Kihon Checklist (KCL), Study of Osteoporotic Fractures (SOF), and frailty phenotype (FP) screening tools. Using G-power3.1 for sample size estimation, 80 subjects will be needed. Based on the estimated loss rate is 30%, so 110 participants need to be recruited.
The screening sequence of this research will carry out with the Randomization block. There are six sequence combinations with three frailty screening tools. The researcher read the questionnaire one by one item, and then will fill the participants' answers into the data collection sheets. The physical function test is performed by the researcher.
This study was approved by the institutional Review Board. All participants will be asked to complete written informed consent. The statistical method adopts multivariate repeated measure analysis to detect the transition of frailty state. The area under the curve (AUC) will be used to examine the predictive ability on body function (grip strength, walking speed) and negative outcomes (falls, hospitalization) of the three frailty screening tools.
The anticipated benefits of this study will include (1) clinical practice: provide the screening time, completion rate, reliability and validity of the frailty screening tools to clinical health care professionals with reference to the selection of frailty screening tools for the community-dwelling elderly. Predicting the cut-off point of screening for falls or institutionalization/hospitalization of elderly people in the community can be used in nursing clinical practice to explain the screening results and risk assessment of falls and hospitalization to patients to prevent or delay the frailty progress. (2) academic research: provide a six-month observation of the changes in the frailty status of the elderly in the community in Taiwan, increase the understanding of the frailty transition of the elderly in the community, and identify frailty screening tools that have better prediction of physical functions and negative results. (3) National development: The results of this study are provided to the government as a reference for optimizing Taiwan's long-term care 2.0 policy formulation.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Hung-Ru Lin, PhD
- Phone Number: 2300 886-2-28227101
- Email: hungru@ntunhs.edu.tw
Study Contact Backup
- Name: Meei-Horng Yang, MSN
- Phone Number: 88969 +886-37-676811
- Email: celinayang2014@gmail.com
Study Locations
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Toufen, Taiwan, 35159
- Recruiting
- Wei Gong Memorial Hospital
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Contact:
- Meei-Horng Yang, MSN
- Phone Number: 88969 886-37-676811
- Email: celinayang2014@gmail.com
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Principal Investigator:
- Meei-Horng Yang, MSN
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age of 65 years and older with community-dwelling in Taoyuan and Hsinchu city, Miaoli county
- Communicate with Mandarin, Taiwanese, or Hakka
- Agreement to participant the frailty screening three times within half a year after explanation, and have signed an informed consent.
Exclusion Criteria:
- Living in a hospital or nursing home.
- Dementia.
- Bedridden or terminal illness.
- Taking drugs for Alzheimer's disease or antidepressant drugs.
- Stroke or upper or lower limb surgery in the past three months.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in Frailty Phenotype (FP)
Time Frame: This will be measured at baseline, three months and six months.
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The FP measurement tool consists five items (yes/no) which includes handgrip strength measured via a dynamometer (in kilograms), self-reported weight loss, self-reported exhaustion, 5 meter usual gait speed (in seconds), and physical activity level measured by the Taiwan International Physical Activity Questionnaire Short Form (Taiwanese version of the IPAQ), which was used to calculate calorie consumption.
The number of criteria (a 6-level ordinal variable ranging from 0 to 5) is categorized into a 3-level variable depicting robust (none of the criteria), pre-frail (one or two criteria) and frail (three or more criteria).
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This will be measured at baseline, three months and six months.
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Change in Study of Osteoporotic Fractures (SOF)
Time Frame: This will be measured at baseline, three months and six months.
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The SOF consists three items (yes/no) which includes weight loss (unintentional); inability to rise from a chair 5 times without the use of arms; and reduced energy level.
Frail status was defined as robust (none of components), prefrail (one component), and frail (two or more components).
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This will be measured at baseline, three months and six months.
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Change in Kihon Checklist (KCL)
Time Frame: This will be measured at baseline, three months and six months.
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The KCL consists of 25 items (yes/no) divided into seven domains: physical strength, nutrition, eating, socialization, memory, mood; each domain is rated on a pass (0)/fail (1) basis, and the sum of all indices ranges from 0 (no frailty) to 25 (severe frailty); a higher score indicates worse functioning.
Frailty status was defined as robust (0-3 scores), prefrail (4-7 scores), and frail (8 scores or more ).
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This will be measured at baseline, three months and six months.
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Change in Handgrip Strength
Time Frame: This will be measured at baseline, three months and six months.
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handgrip strength measured via a dynamometer (in kilograms)
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This will be measured at baseline, three months and six months.
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Change in Gait Speed
Time Frame: This will be measured at baseline, three months and six months.
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5 meter usual gait speed (in seconds)
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This will be measured at baseline, three months and six months.
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Screening Time
Time Frame: This will be measured at baseline.
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Use a stopwatch to record the time from the beginning to the end of each measurement tool at baseline .
Units of measurement is minutes and seconds
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This will be measured at baseline.
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Screening Completion
Time Frame: This will be measured at baseline.
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The screening completion rate is defined as completing the each tool for the frailty screening of the elderly in the community at baseline.
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This will be measured at baseline.
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Change in Number of Hospitalization
Time Frame: This will be measured at three months and six months.
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occurence of hospitalization
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This will be measured at three months and six months.
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Change in Number of Falls
Time Frame: This will be measured at three months and six months.
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occurence of falls
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This will be measured at three months and six months.
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Hung-Ru Lin, PhD, National Taipei University of Nursing and Health Sciences
Publications and helpful links
General Publications
- Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, McBurnie MA; Cardiovascular Health Study Collaborative Research Group. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):M146-56. doi: 10.1093/gerona/56.3.m146.
- Abbasi M, Khera S, Dabravolskaj J, Garrison M, King S. Identification of Frailty in Primary Care: Feasibility and Acceptability of Recommended Case Finding Tools Within a Primary Care Integrated Seniors' Program. Gerontol Geriatr Med. 2019 May 15;5:2333721419848153. doi: 10.1177/2333721419848153. eCollection 2019 Jan-Dec.
- Ambagtsheer RC, Thompson MQ, Archibald MM, Casey MG, Schultz TJ. Diagnostic test accuracy of self-reported screening instruments in identifying frailty in community-dwelling older people: A systematic review. Geriatr Gerontol Int. 2020 Jan;20(1):14-24. doi: 10.1111/ggi.13810. Epub 2019 Nov 14.
- Fukutomi E, Okumiya K, Wada T, Sakamoto R, Ishimoto Y, Kimura Y, Kasahara Y, Chen WL, Imai H, Fujisawa M, Otuka K, Matsubayashi K. Importance of cognitive assessment as part of the "Kihon Checklist" developed by the Japanese Ministry of Health, Labor and Welfare for prediction of frailty at a 2-year follow up. Geriatr Gerontol Int. 2013 Jul;13(3):654-62. doi: 10.1111/j.1447-0594.2012.00959.x. Epub 2012 Nov 22.
- Kiely DK, Cupples LA, Lipsitz LA. Validation and comparison of two frailty indexes: The MOBILIZE Boston Study. J Am Geriatr Soc. 2009 Sep;57(9):1532-9. doi: 10.1111/j.1532-5415.2009.02394.x. Epub 2009 Jul 21.
- Sutton JL, Gould RL, Daley S, Coulson MC, Ward EV, Butler AM, Nunn SP, Howard RJ. Psychometric properties of multicomponent tools designed to assess frailty in older adults: A systematic review. BMC Geriatr. 2016 Feb 29;16:55. doi: 10.1186/s12877-016-0225-2.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 200836
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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