NCT06875024

Brief Summary

Background: As the aging population grows, hospitalized elderly individuals with frailty have become a major concern. Frailty is a complex syndrome linked to aging, marked by dependency and vulnerability. Elderly patients often face chronic diseases, making them more susceptible to frailty. Studies show frailty prevalence in hospitalized elderly patients is 88.7%, and 75.3% among kidney disease patients. Frailty is associated with advanced age, female gender, low body mass index, comorbidities, and poor nutrition, increasing the risks of falls, hospitalization, and mortality. Frail kidney disease patients face worse outcomes. However, frailty is reversible with early intervention. Current treatments, based on comprehensive geriatric assessment (CGA), require significant resources. This study aims to explore frailty prevention and care through research and intervention development. Purpose: To explore the effectiveness of an intelligent intervention program in improving frailty among hospitalized elderly individuals. Methods: An experimental research design was adopted. A total of 156 hospitalized elderly patients with kidney disease who met the inclusion criteria were recruited through convenience sampling. Participants were randomly assigned to either the experimental group (n = 78) or the control group (n = 78). The experimental group received a 12-week intelligent intervention program, while the control group received routine care.Subsequently, data on frailty level, daily living function 30 days after discharge, and unexpected readmission rate 30 days after discharge will be collected by researchers and analyzed using SPSS 22.0, including chi-square tests, repeated measures ANOVA, and Generalized Estimating Equations (GEE) for intra-group and inter-group comparisons of each outcome variable. Expected research results: This study aims to understand the current status and influencing factors of frailty among hospitalized elderly patients with kidney disease and to develop an intelligent intervention program. The goal is to provide clinical nursing staff with a frailty care strategy for hospitalized patients, effectively reducing frailty among elderly inpatients, improving their daily functional ability after discharge, and decreasing hospital readmission rates. Condition or disease: frailty Intervention/treatment: intelligent intervention program

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
156

participants targeted

Target at P75+ for not_applicable

Timeline
8mo left

Started Apr 2025

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress62%
Apr 2025Dec 2026

First Submitted

Initial submission to the registry

March 3, 2025

Completed
10 days until next milestone

First Posted

Study publicly available on registry

March 13, 2025

Completed
1 month until next milestone

Study Start

First participant enrolled

April 15, 2025

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2026

Expected
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

April 3, 2025

Status Verified

March 1, 2025

Enrollment Period

1.2 years

First QC Date

March 3, 2025

Last Update Submit

March 29, 2025

Conditions

Outcome Measures

Primary Outcomes (12)

  • Fried frailty phenotype

    Number of Participants Classified as Frail or Pre-Frail Based on the Fried Frailty Phenotype Criteria: Unintentional Weight Loss, Exhaustion, Weak Grip Strength, Slow Walking Speed, and Low Physical Activity

    pre-intervention, baseline (T0)

  • Fried frailty phenotype

    Number of Participants Classified as Frail or Pre-Frail Based on the Fried Frailty Phenotype Criteria: Unintentional Weight Loss, Exhaustion, Weak Grip Strength, Slow Walking Speed, and Low Physical Activity

    4 weeks after intervention, discharge(T1)

  • Fried frailty phenotype

    Number of Participants Classified as Frail or Pre-Frail Based on the Fried Frailty Phenotype Criteria: Unintentional Weight Loss, Exhaustion, Weak Grip Strength, Slow Walking Speed, and Low Physical Activity

    8 weeks after intervention(T2)

  • Fried frailty phenotype

    Number of Participants Classified as Frail or Pre-Frail Based on the Fried Frailty Phenotype Criteria: Unintentional Weight Loss, Exhaustion, Weak Grip Strength, Slow Walking Speed, and Low Physical Activity

    12 weeks after intervention(T3)

  • physical activity function- Activities of daily living(ADL)

    This tool evaluates an individual's ability to perform self-care activities in daily life, including eating, mobility, personal hygiene, toileting, bathing, walking, stair climbing, dressing, bowel control, and bladder control. Each activity is scored based on the individual's level of independence, with total scores ranging from 0 to 100, where higher scores indicate better daily functioning . The Cronbach's α of the scale is 0.82, test-retest reliability is 0.89, and inter-rater reliability is 0.95 (0.91-0.97) .

    pre-intervention, baseline (T0)

  • physical activity function- Activities of daily living(ADL)

    This tool evaluates an individual's ability to perform self-care activities in daily life, including eating, mobility, personal hygiene, toileting, bathing, walking, stair climbing, dressing, bowel control, and bladder control. Each activity is scored based on the individual's level of independence, with total scores ranging from 0 to 100, where higher scores indicate better daily functioning. The Cronbach's α of the scale is 0.82, test-retest reliability is 0.89, and inter-rater reliability is 0.95 (0.91-0.97).

    4 weeks after intervention, discharge(T1)

  • physical activity function- Activities of daily living(ADL)

    This tool evaluates an individual's ability to perform self-care activities in daily life, including eating, mobility, personal hygiene, toileting, bathing, walking, stair climbing, dressing, bowel control, and bladder control. Each activity is scored based on the individual's level of independence, with total scores ranging from 0 to 100, where higher scores indicate better daily functioning . The Cronbach's α of the scale is 0.82, test-retest reliability is 0.89, and inter-rater reliability is 0.95 (0.91-0.97) .

    8 weeks after intervention(T2)

  • physical activity function- Activities of daily living(ADL)

    This tool evaluates an individual's ability to perform self-care activities in daily life, including eating, mobility, personal hygiene, toileting, bathing, walking, stair climbing, dressing, bowel control, and bladder control. Each activity is scored based on the individual's level of independence, with total scores ranging from 0 to 100, where higher scores indicate better daily functioning . The Cronbach's α of the scale is 0.82, test-retest reliability is 0.89, and inter-rater reliability is 0.95 (0.91-0.97) .

    12 weeks after intervention(T3)

  • physical activity function-Chair Stand Test

    A tool for assessing lower limb muscular endurance in older adults, as part of the Senior Fitness Test developed by the Sports Administration, Ministry of Education, Taiwan . The test involves the participant sitting on a chair with their arms crossed over their chest. They are instructed to stand up and sit down once, which is counted as one repetition. The total number of repetitions completed within 30 seconds is recorded. The performance is classified into five levels-poor, below average, average, above average, and excellent-based on gender- and age-specific standards. This study follows the normative fitness standards for older adults established by the Sports Administration, Ministry of Education .

    pre-intervention, baseline (T0)

  • physical activity function-Chair Stand Test

    A tool for assessing lower limb muscular endurance in older adults, as part of the Senior Fitness Test developed by the Sports Administration, Ministry of Education, Taiwan. The test involves the participant sitting on a chair with their arms crossed over their chest. They are instructed to stand up and sit down once, which is counted as one repetition. The total number of repetitions completed within 30 seconds is recorded. The performance is classified into five levels-poor, below average, average, above average, and excellent-based on gender- and age-specific standards. This study follows the normative fitness standards for older adults established by the Sports Administration, Ministry of Education.

    4 weeks after intervention, discharge(T1)

  • physical activity function-Chair Stand Test

    A tool for assessing lower limb muscular endurance in older adults, as part of the Senior Fitness Test developed by the Sports Administration, Ministry of Education, Taiwan. The test involves the participant sitting on a chair with their arms crossed over their chest. They are instructed to stand up and sit down once, which is counted as one repetition. The total number of repetitions completed within 30 seconds is recorded. The performance is classified into five levels-poor, below average, average, above average, and excellent-based on gender- and age-specific standards. This study follows the normative fitness standards for older adults established by the Sports Administration, Ministry of Education.

    8 Weeks after intervention(T2)

  • physical activity function-Chair Stand Test

    A tool for assessing lower limb muscular endurance in older adults, as part of the Senior Fitness Test developed by the Sports Administration, Ministry of Education, Taiwan. The test involves the participant sitting on a chair with their arms crossed over their chest. They are instructed to stand up and sit down once, which is counted as one repetition. The total number of repetitions completed within 30 seconds is recorded. The performance is classified into five levels-poor, below average, average, above average, and excellent-based on gender- and age-specific standards. This study follows the normative fitness standards for older adults established by the Sports Administration, Ministry of Education.

    12 Weeks after intervention(T3)

Secondary Outcomes (16)

  • 15-item geriatric depression scale(GDS-15)

    pre-intervention, baseline (T0)

  • 15-item geriatric depression scale(GDS-15)

    4 weeks after intervention, discharge(T1)

  • 15-item geriatric depression scale(GDS-15)

    8 Weeks after intervention(T2)

  • 15-item geriatric depression scale(GDS-15)

    12 Weeks after intervention(T3)

  • the Chinese version of the Pittsburgh Sleep Quality Index(CPSQI)

    pre-intervention, baseline (T0)

  • +11 more secondary outcomes

Study Arms (2)

Control group

NO INTERVENTION

The control group received usual care.

Experimental group

EXPERIMENTAL

The experimental group will receive an intelligent intervention program, which includes cycling training during hospitalization and daily walking training after discharge, supplemented by monitoring and tracking using a smart wristband.

Behavioral: Intelligent intervention programs

Interventions

The intervention involves a structured exercise program, with participants in the experimental group engaging in cycling exercises three times per week, each session lasting 30 minutes during hospitalization. After discharge, they will follow a walking program, increasing their daily step count by 1,000 steps above the average recorded during hospitalization, for a total of 12 weeks. Structured questionnaires and medical records will be used for data collection at four time points: the first week of enrollment (T0), hospital discharge (T1), the eighth week post-enrollment (T2), and the twelfth week post-enrollment (T3). Additionally, a tri-axial accelerometer-equipped smart wristband will be used to monitor and record participants' heart rate, respiration, blood pressure, daily step count, and sleep quality.

Experimental group

Eligibility Criteria

Age65 Years+
Sexall
Healthy VolunteersNo
Age GroupsOlder Adult (65+)

You may qualify if:

  • Hospitalized patients aged 65 years and older. (、
  • Admitted to the nephrology department or undergoing dialysis.
  • Conscious, able to express themselves independently, follow instructions, and communicate in Mandarin or Taiwanese.
  • Expected hospital stay of at least six days.
  • Assessed using the Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) and deemed to have no immediate risk for exercise participation, with normal capability for physical activity.

You may not qualify if:

  • Severe visual or hearing impairments that hinder communication or assessments.
  • Significant cognitive impairment, defined as a Montreal Cognitive Assessment (MoCA) score \< 24.
  • Patients who do not consent to participate in the study.
  • Individuals unable to personally complete the consent form.
  • Patients receiving palliative care.
  • Regular participants in rehabilitation therapy.
  • Charlson Comorbidity Index (CCI) score ≥ 5.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National Taipei University of Nursing and Health Sciences, Taipei,

Taipei, Taiwan

Location

Related Publications (19)

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    PMID: 34878637BACKGROUND
  • Yeh AY, Pressler SJ, Algase D, Struble LM, Pozehl BJ, Berger AM, Giordani BJ. Sleep-Wake Disturbances and Episodic Memory in Older Adults. Biol Res Nurs. 2021 Apr;23(2):141-150. doi: 10.1177/1099800420941601. Epub 2020 Jul 10.

    PMID: 32648471BACKGROUND
  • Wilkinson TJ, Miksza J, Zaccardi F, Lawson C, Nixon AC, Young HML, Khunti K, Smith AC. Associations between frailty trajectories and cardiovascular, renal, and mortality outcomes in chronic kidney disease. J Cachexia Sarcopenia Muscle. 2022 Oct;13(5):2426-2435. doi: 10.1002/jcsm.13047. Epub 2022 Jul 19.

    PMID: 35851589BACKGROUND
  • Wei YC, Chen CK, Lin C, Chen PY, Hsu PC, Lin CP, Shyu YC, Huang WY. Normative Data of Mini-Mental State Examination, Montreal Cognitive Assessment, and Alzheimer's Disease Assessment Scale-Cognitive Subscale of Community-Dwelling Older Adults in Taiwan. Dement Geriatr Cogn Disord. 2022;51(4):365-376. doi: 10.1159/000525615. Epub 2022 Jul 12.

    PMID: 35820405BACKGROUND
  • Pan, A. N., Lin, V. L., Hsu, P. C. & Chen, H. C.(2022) The Associations of Subjective and Objective Sleep Quality and Mood Symptoms among Patients with Bipolar Disorder: A Longitudinal Study. The Journal of Psychiatric Mental Health Nursing, 17(3), 26-36. https://doi-org.mhdla.flysheet.com.tw:8443/10.6847/TJPMHN.202212_17(3).04

    BACKGROUND
  • Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695-9. doi: 10.1111/j.1532-5415.2005.53221.x.

    PMID: 15817019BACKGROUND
  • Gregg LP, Bossola M, Ostrosky-Frid M, Hedayati SS. Fatigue in CKD: Epidemiology, Pathophysiology, and Treatment. Clin J Am Soc Nephrol. 2021 Sep;16(9):1445-1455. doi: 10.2215/CJN.19891220. Epub 2021 Apr 15.

    PMID: 33858827BACKGROUND
  • 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.

    PMID: 11253156BACKGROUND
  • Ekerstad N, Dahlin Ivanoff S, Landahl S, Ostberg G, Johansson M, Andersson D, Husberg M, Alwin J, Karlson BW. Acute care of severely frail elderly patients in a CGA-unit is associated with less functional decline than conventional acute care. Clin Interv Aging. 2017 Aug 8;12:1239-1249. doi: 10.2147/CIA.S139230. eCollection 2017.

    PMID: 28848332BACKGROUND
  • Chou, M.-H., Chen, F.-J., Chiu, C.-F., & Lin, Y.-D. (2019). Frailty status and its influencing factors among elderly hospitalized patients. The VGH Nursing, 36(1), 27-38. https://doi.org/10.6142/vghn.201903_36(1).0003

    BACKGROUND
  • Chin, W. C., Liu, C. Y., Lee, C. P., & Chu, C. L. (2014). Validation of Five Short Versions of the Geriatric Depression Scale in the Elder Population in Taiwan. Taiwanese Journal of Psychiatry, 28 (3), 156-163+ii. https://www-airitilibrary-com.mhdla.flysheet.com.tw:8443/Article/Detail?DocID=10283684-201409-201410200065-201410200065-156-163+ii

    BACKGROUND
  • Checa-Lopez M, Costa-Grille A, Alvarez-Bustos A, Carnicero-Carreno JA, Sinclair A, Scuteri A, Landi F, Solano-Jaurrieta JJ, Bellary S, Rodriguez-Manas L. Effectiveness of a randomized intervention by a geriatric team in frail hospital inpatients in non-geriatric settings: FRAILCLINIC project. J Cachexia Sarcopenia Muscle. 2024 Feb;15(1):361-369. doi: 10.1002/jcsm.13374. Epub 2023 Nov 28.

    PMID: 38014479BACKGROUND
  • Chang, H. Y., Hsieh, Y. W., Hsueh, I. P. & Hsieh, C. L. (2006). A Forty-year Retrospective of Assessment of Activities of Daily Living. Taiwan Journal of Physical Medicine and Rehabilitation,34(2), 63-71. https://doi-org.mhdla.flysheet.com.tw:8443/10.6315/2006.34(2)01

    BACKGROUND
  • Tsai PS, Wang SY, Wang MY, Su CT, Yang TT, Huang CJ, Fang SC. Psychometric evaluation of the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) in primary insomnia and control subjects. Qual Life Res. 2005 Oct;14(8):1943-52. doi: 10.1007/s11136-005-4346-x.

    PMID: 16155782BACKGROUND
  • Neborak JM, Press VG, Parker WF, Rojas JC, Byron M, Goyal S, Meltzer DO, Mokhlesi B, Arora VM. Association of preadmission insomnia symptoms with objective in-hospital sleep and clinical outcomes among hospitalized patients. J Clin Sleep Med. 2024 May 1;20(5):681-687. doi: 10.5664/jcsm.10964.

    PMID: 38156422BACKGROUND
  • Jiang X, Li D, Shen W, Shen X, Liu Y. In-Hospital Outcomes of Patients on Maintenance Dialysis With Frailty: 10-year Results From the US National Inpatient Sample Database. J Ren Nutr. 2020 Nov;30(6):526-534. doi: 10.1053/j.jrn.2019.12.007. Epub 2020 Feb 13.

    PMID: 32063457BACKGROUND
  • Jarach CM, Tettamanti M, Nobili A, D'avanzo B. Social isolation and loneliness as related to progression and reversion of frailty in the Survey of Health Aging Retirement in Europe (SHARE). Age Ageing. 2021 Jan 8;50(1):258-262. doi: 10.1093/ageing/afaa168.

    PMID: 32915990BACKGROUND
  • Jaiswal SJ, Kang DY, Wineinger NE, Owens RL. Objectively measured sleep fragmentation is associated with incident delirium in older hospitalized patients: Analysis of data collected from an randomized controlled trial. J Sleep Res. 2021 Jun;30(3):e13205. doi: 10.1111/jsr.13205. Epub 2020 Oct 13.

    PMID: 33051948BACKGROUND
  • Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.

    PMID: 2748771BACKGROUND

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, OUTCOMES ASSESSOR
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
professor

Study Record Dates

First Submitted

March 3, 2025

First Posted

March 13, 2025

Study Start

April 15, 2025

Primary Completion (Estimated)

June 30, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

April 3, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will not share

Locations