ClinicalTrials.gg
Not yet recruitingNCT07920328Updated Nov 5, 2026

Pilot Project on Enhancing Support for Hidden Elderly in the Three-nil Buildings and Old Tenement Buildings: Capacity Building & Impact Evaluation

An interventional study of Mapped intervention based on health status in 3-nil Buildings Seniors, sponsored by The University of Hong Kong. Not yet recruiting at 1 site in Hong Kong. Per ClinicalTrials.gov, last updated 2026-11-05.

Sponsored by The University of Hong Kong · Not applicable, Interventional, and Prevention

Updated Nov 5, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
1,520
Allocation
Non-randomized
Sex
All
01

Study summary

The aims of this interventional study are of two-fold. First, the study aims to develop the capacity to facilitate the collaborating NGOs to address the social determinants of aging well for 3-N seniors. The second aim of the study is to evaluate the impact of the transitional support for 3-N elders. The main question is aims to answer is:

Does the transitional support facilitate a better physical and psychological wellbeing in 3-N seniors.

Participants will be categorized into transitional-support group or non-transitional-support group based on their existing community service. They will join evaluation at four timepoints (baseline 3-, 6-, and 12-month) over the 1-year follow-up period.

Read the detailed description

The project will set up the following digital platform:

  1. Neighbor Link for Healthy Living
  2. Healthy Lifestyle Hubs without Walls
  3. Service Connect Compass Central to the concept of prompting 'aging well' through addressing the social determinants of health, the evaluation not only focuses on the direct impact on the social cohesion of the beneficiaries with their immediate community context, but also captures the indirect impact on the broader dimensions reflecting 'aging well'.
02

Conditions studied

  • 3-nil Buildings Seniors

Keywords

  • elderly
  • health-related quality of life
  • digital intervention
03

In context

Lead sponsor

The University of Hong Kong is the lead sponsor of 1,292 studies on the registry; 348 are open to participants now.

Of its 9 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Engaged in the transitional care model
  • Consent to participate in the impact evaluation
  • Able to complete the impact evaluation

Exclusion criteria

Exclusion Criteria:

  • Unable or unwilling to provide
  • An acute or unstable health condition makes participation unsafe
  • Unable to complete research assessments despite reasonable support
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
1,520 participants (estimated)

Study arms

  • Experimental
    Intervention status

    This arm covers two major service dimensions including living support and district-based caring buddy network. Participants will join evaluation at four timepoints (i.e., baseline, 3-month, 6-month, 12-month)

    Behavioral: Mapped intervention based on health status

  • No intervention
    No-intervention status

    The corresponding no-treatment status is defined as subjects who have not received any mapped intervention for the corresponding length of time.

Interventions

  • BehavioralMapped intervention based on health status

    Intervention will be conducted to improve lifestyle based on their needs which include 1) Neighbor Link for Healthy Living, 2) Healthy Lifestyle Hubs without Walls and 3) Service Connect Compass.

06

What researchers measure

Primary outcomes

  1. Edmonton Frailty Scale

    Overall frailty

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

Secondary outcomes

  1. Neighborhood Cohesion Inventory (HK version)

    Neighborhood cohesion and social engagement

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  2. Life Space Assessment

    Life space mobility

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  3. 3-item UCA Loneliness Scale

    Loneliness

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  4. Health-Promoting Lifestyle Profile II

    Lifestyle behaviors

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  5. Social Frailty Scale-8 items (SFS-8)

    Social vulnerability

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  6. Short Physical Performance Battery

    Measuring by (range from 0 to 12), with higher score indicating better physical performance

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  7. Geriatric Depression Scale

    Psychological wellness

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  8. Mini-nutritional Assessment

    Vitality

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  9. 5-minute Montreal Cognitive Assessment (MoCA)

    Measuring Cognitive function (range from 0 to 30), A score of 26 or over is considered to be normal.

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  10. EuroQoL-5 Dimension-5 Level

    Measuring Health-related quality of life (HRQL) (range from -0.59 to 1.0), higher score indicates better quality of life

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  11. Insomnia Severity Index (ISI)

    Severity of sleeping problem

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  12. Hearing Handicap Inventory

    Hearing loss

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  13. Handgrip

    physical wellness

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  14. 7-item Abbreviation Memory Inventory for the Chinese

    subjective memory complaints

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

  15. Body composition

    the percentages of fat and muscle in the human body

    Time frame: Changes from baseline to 3 month, 6 month, 12 month post-intervention.

07

Study locations

1 site
08

References and documents

Publications

  • Ho LYW, Lai CKY, Ng SSM. Psychometric properties testing of a Cantonese version of the Life-Space Assessment in people with stroke. Sci Rep. 2021 Oct 18;11(1):20614. doi: 10.1038/s41598-021-00140-w. PubMed 34663852 ↗
  • Yu R, Cheung O, Leung J, Tong C, Lau K, Cheung J, Woo J. Is neighbourhood social cohesion associated with subjective well-being for older Chinese people? The neighbourhood social cohesion study. BMJ Open. 2019 May 10;9(5):e023332. doi: 10.1136/bmjopen-2018-023332. PubMed 31079078 ↗
  • Snell, W. E., Johnson, G., Lloyd, P. J., & Hoover, M. W. The Health Orientation Scale: A measure of psychological tendencies associated with health. European Journal of Personality 1991; 5(2): 169-183.
  • Luo H, Hu H, Zhao Y, Hao Y, Xie L, Gao J, Sun C. Associations between living environment factors and frailty among middle-aged and older adults. Interdisciplinary Nursing Research 2022; 4(2): 91-98.
  • Hong Kong Population Projections for 2022 to 2046. Hong Kong: Census and Statistics Department.
  • Fierro-Marrero J, Reina-Varona A, Paris-Alemany A, La Touche R. Frailty in Geriatrics: A Critical Review with Content Analysis of Instruments, Overlapping Constructs, and Challenges in Diagnosis and Prognostic Precision. J Clin Med. 2025 Mar 7;14(6):1808. doi: 10.3390/jcm14061808. PubMed 40142616 ↗
  • Limpawattana P, Khammak C, Manjavong M, So-Ngern A. Frailty as a Predictor of Hospitalization and Low Quality of Life in Geriatric Patients at an Internal Medicine Outpatient Clinic: A Cross-Sectional Study. Geriatrics (Basel). 2022 Aug 31;7(5):89. doi: 10.3390/geriatrics7050089. PubMed 36136798 ↗
  • Robles MC, O'Brien A, Islam N, McBride AC, Corches CL, Mansour M, Bailey S, Thrash-Sall E, Skolarus LE. Exploring Social Determinants of Health in Healthy Aging Among Older Adults: A Qualitative Study. Prog Community Health Partnersh. 2023;17(1):71-78. doi: 10.1353/cpr.2023.0011. PubMed 37462576 ↗
  • Welch SA, Ward RE, Beauchamp MK, Leveille SG, Travison T, Bean JF. The Short Physical Performance Battery (SPPB): A Quick and Useful Tool for Fall Risk Stratification Among Older Primary Care Patients. J Am Med Dir Assoc. 2021 Aug;22(8):1646-1651. doi: 10.1016/j.jamda.2020.09.038. Epub 2020 Nov 13. PubMed 33191134 ↗
  • Tomkinson GR, Lang JJ, Rubin L, McGrath R, Gower B, Boyle T, Klug MG, Mayhew AJ, Blake HT, Ortega FB, Cadenas-Sanchez C, Magnussen CG, Fraser BJ, Kidokoro T, Liu Y, Christensen K, Leong DP; iGRIPS (international handGRIP Strength) Group. International norms for adult handgrip strength: A systematic review of data on 2.4 million adults aged 20 to 100+ years from 69 countries and regions. J Sport Health Sci. 2025 Dec;14:101014. doi: 10.1016/j.jshs.2024.101014. Epub 2024 Dec 6. PubMed 39647778 ↗
  • Mitchell AJ, Bird V, Rizzo M, Meader N. Diagnostic validity and added value of the Geriatric Depression Scale for depression in primary care: a meta-analysis of GDS30 and GDS15. J Affect Disord. 2010 Sep;125(1-3):10-7. doi: 10.1016/j.jad.2009.08.019. Epub 2009 Oct 2. PubMed 19800132 ↗
  • Rolfson DB, Majumdar SR, Tsuyuki RT, Tahir A, Rockwood K. Validity and reliability of the Edmonton Frail Scale. Age Ageing. 2006 Sep;35(5):526-9. doi: 10.1093/ageing/afl041. Epub 2006 Jun 6. No abstract available. PubMed 16757522 ↗
  • Lam LC, Lui VW, Tam CW, Chiu HF. Subjective memory complaints in Chinese subjects with mild cognitive impairment and early Alzheimer's disease. Int J Geriatr Psychiatry. 2005 Sep;20(9):876-82. doi: 10.1002/gps.1370. PubMed 16116581 ↗
  • Wong A, Nyenhuis D, Black SE, Law LS, Lo ES, Kwan PW, Au L, Chan AY, Wong LK, Nasreddine Z, Mok V. Montreal Cognitive Assessment 5-minute protocol is a brief, valid, reliable, and feasible cognitive screen for telephone administration. Stroke. 2015 Apr;46(4):1059-64. doi: 10.1161/STROKEAHA.114.007253. Epub 2015 Feb 19. PubMed 25700290 ↗
  • Vellas B, Guigoz Y, Garry PJ, Nourhashemi F, Bennahum D, Lauque S, Albarede JL. The Mini Nutritional Assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition. 1999 Feb;15(2):116-22. doi: 10.1016/s0899-9007(98)00171-3. PubMed 9990575 ↗
  • Cheng KY, Chow SK, Hung VW, Wong CH, Wong RM, Tsang CS, Kwok T, Cheung WH. Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual-energy X-ray absorptiometry. J Cachexia Sarcopenia Muscle. 2021 Dec;12(6):2163-2173. doi: 10.1002/jcsm.12825. Epub 2021 Oct 4. PubMed 34609065 ↗
  • Teng HL, Yen M, Fetzer S. Health promotion lifestyle profile-II: Chinese version short form. J Adv Nurs. 2010 Aug;66(8):1864-73. doi: 10.1111/j.1365-2648.2010.05353.x. Epub 2010 Jun 16. PubMed 20557380 ↗
  • Mackenzie L, Byles J, Higginbotham N. Reliability of the Home Falls and Accidents Screening Tool (HOME FAST) for identifying older people at increased risk of falls. Disabil Rehabil. 2002 Mar 20;24(5):266-74. doi: 10.1080/09638280110087089. PubMed 12004972 ↗
  • Holtrop JS, Estabrooks PA, Gaglio B, Harden SM, Kessler RS, King DK, Kwan BM, Ory MG, Rabin BA, Shelton RC, Glasgow RE. Understanding and applying the RE-AIM framework: Clarifications and resources. J Clin Transl Sci. 2021 May 14;5(1):e126. doi: 10.1017/cts.2021.789. eCollection 2021. PubMed 34367671 ↗

Individual participant data

Plan to share: No

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 5, 2026
Show all 1 update
  1. Nov 5, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07920328
Responsible party
Prof. Yu, Doris Sau Fung (Professor, The University of Hong Kong) — Principal investigator
First posted
Nov 5, 2026
Start date
Dec 1, 2026 (estimated)
Primary completion
Dec 1, 2030 (estimated)
Completion
Jun 1, 2031 (estimated)
Last update
Nov 5, 2026

Study contacts

Doris Sau Fung YU, PhD
Contact
dyu1@hku.hk
852-3917-6319
Doris Sau Fung YU, PhD
principal investigator · The University of Hong Kong

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Nov 2026. You cannot join it, but the record below documents what was studied.

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