Evidence map›Paper›PMID 39695436›Full record

ArticleBMC public health2024

Steps to Avoid Falls in the Elderly - a TECHnology Enhanced Intervention (SAFE-TECH) study: randomized controlled trial protocol for a community-based, multi-component fall prevention program.

Wei Xuan Lai, Vanessa Koh, Jing Wen Goh, Kok Yang Tan, Kai Zhe Tan, Sai G S Pai, William R Taylor, Abhijit Visaria, Navrag B Singh, Angelique W M Chan and 1 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06102954 (Steps to Avoid Falls in the Elderly- A TECHnology Enhanced Intervention), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06102954 narecruitingnot on this map

Steps to Avoid Falls in the Elderly- A TECHnology Enhanced Intervention

TypeinterventionalSponsorDuke-NUS Graduate Medical SchoolRan2024 to 2026Enrolled400ConditionsFall Prevention, Fall InjuryArmsFalls prevention intervention including exercise and educational components
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Multidimensional determinants of active and healthy aging trajectories: a position paper from the Age-It Research Program.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Wei Xuan Lai *Programme in Health Services and Systems Research (HSSR), Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Vanessa KohProgramme in Health Services and Systems Research (HSSR), Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Jing Wen GohCentre for Ageing Research and Education (CARE), Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore. jingwen_goh@duke-nus.edu.sg.
Kok Yang TanCentre for Ageing Research and Education (CARE), Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Kai Zhe TanSingapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, 1 CREATE Way, #06-01 CREATE Tower, Singapore, 138602, Singapore.
Sai G S PaiSingapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, 1 CREATE Way, #06-01 CREATE Tower, Singapore, 138602, Singapore.
William R TaylorSingapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, 1 CREATE Way, #06-01 CREATE Tower, Singapore, 138602, Singapore.
Abhijit VisariaCentre for Ageing Research and Education (CARE), Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Navrag B SinghSingapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, 1 CREATE Way, #06-01 CREATE Tower, Singapore, 138602, Singapore.
Angelique W M ChanProgramme in Health Services and Systems Research (HSSR), Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
David B MatcharProgramme in Health Services and Systems Research (HSSR), Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls and fall-related injuries among older adults in Singapore are a serious health problem that require early intervention. In previous research, exercise interventions have been effective in improving functional outcomes and reducing falls for a broad group of older adults. However, results from multi-domain, multi-component falls prevention programs for high fall risk older adults in the community remain equivocal. One reason for these results is that there is significant heterogeneity in falls risk factors amongst high falls risk older adults which makes tailoring multicomponent interventions complex. The objective of the trial is to evaluate the effectiveness of an enhanced version of the predecessor program, SAFE. The Steps to Avoid Falls in the Elderly-a TECHnology enhanced intervention (SAFE-TECH) is designed for older adults in the community who are at high risk of falls, with candidate selection and program tailoring based on gait variables derived from wearable sensors and various questionnaire-based features.

methodsSAFE-TECH is a 12-month randomized controlled trial involving 400 older adults at high risk of falling, who are randomly allocated to an intervention or control group in a 1:1 ratio. Participants will be assessed at baseline, 3rd-month and 12th-month for functional status, physical performance, cognitive status, quality of life, and medical history. Monthly phone calls will assess fall status, healthcare utilization, physical activity, and exercise self-efficacy. Participants in the intervention group will undergo a tailored, multi-domain, multi-component falls prevention program. The active intervention phase will last for 12-weeks with exercises focusing on strength, balance, coordination, flexibility, and aerobic endurance; and weekly educational sessions on falls risk with personalized feedback based on participant's falls risk assessments and environmental checklist. DISCUSSIONS: SAFE-TECH seeks to evaluate enhanced existing falls prevention programs by addressing the heterogeneity of falls risk through rapid assessments and personalisation of exercise and education components while maintaining the efficiency of the group setting. Our findings will inform practical efforts to reduce falls and falls-related injuries among community-dwelling older adults.

trial registrationClinicalTrials.gov. CLINICAL TRIAL NUMBER: NCT06102954|| 22-10-2023.

Indexed as

Accidental FallsAgedAged, 80 and overFemaleHumansIndependent LivingMaleRandomized Controlled Trials as TopicSingaporeFalls prevention interventionOlder adultsRandomised clinical trialStudy protocols

Identifiers

PMID39695436
PMCPMC11656786

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.