84 Participants Needed

CatchU App for Fall Injury Prevention

(CatchU Trial)

Recruiting at 1 trial location
MO
JR
Overseen ByJeannette R Mahoney, PhD
Age: 65+
Sex: Any
Trial Phase: Academic
Sponsor: Jeannette Mahoney
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial tests a new iPhone app called CatchU, designed to help doctors assess and discuss fall risks with older adults. The app measures how well older adults can respond to visual and touch cues, which helps identify those at higher risk of falling. The goal is to prevent falls, promote independence, and improve quality of life for older adults.

Will I have to stop taking my current medications?

The trial does not specify if you need to stop taking your current medications. However, if you are using medications that might affect safety or cognitive functioning, the screening clinician may decide if it's necessary to adjust them.

Is the CatchU App for Fall Injury Prevention safe for humans?

The research does not provide specific safety data for the CatchU App or similar interventions, but electronic sensor alarms for fall prevention have been found to be feasible, effective, and acceptable in patients with cognitive impairment, suggesting a general level of safety in similar technologies.12345

How does the CatchU Intervention treatment differ from other fall prevention treatments?

The CatchU Intervention is unique because it likely involves a digital or app-based approach to fall prevention, which may use wearable sensors to assess fall risk more objectively and accurately than traditional methods. This approach can provide personalized interventions and is suitable for unsupervised use, making it more accessible and practical for larger populations.26789

What data supports the effectiveness of the CatchU Intervention treatment for fall injury prevention?

Research shows that mobile technology, like the CatchU App, can effectively measure and prevent fall risks in older adults by providing personalized assessments and interventions. Additionally, automating fall risk tests with technology, such as the Timed Up and Go Test, offers a more accurate and detailed evaluation of fall risks, which can enhance prevention strategies.910111213

Who Is on the Research Team?

MO

Mooyeon Oh-Park, MD

Principal Investigator

The Burke Rehabilitation Hospital

JR

Jeannette R Mahoney, PhD

Principal Investigator

Albert Einstein College of Medicine

Are You a Good Fit for This Trial?

The CatchU study is for English-speaking adults aged 65+ living in the New York Metropolitan area who can walk with or without aids like canes. They should be able to visit a clinic and not have severe medical conditions, dementia, major mobility issues due to musculoskeletal pain, progressive neurological diseases, severe sensory impairments, or any psychiatric symptoms that could interfere with the study.

Inclusion Criteria

I can walk and leave my house without help, even if I use walking aids.
I am 65 or older, live in the New York Metropolitan area, and plan to stay for 3+ years.

Exclusion Criteria

I have been diagnosed with a progressive neurological disease like Parkinson's or ALS.
You live in a nursing home.
My mobility is limited only because of joint issues or pain.
See 8 more

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Baseline Assessment

Participants undergo baseline assessment of multisensory integration performance using the CatchU app

1 visit
1 visit (in-person)

Intervention

Participants in the intervention group receive the CatchU intervention, including individualized recommendations and falls counseling

24 months
Bimonthly telephone interviews

Control Monitoring

Participants in the control group are monitored every two months via telephone surveys to determine falls history

24 months
Bimonthly telephone interviews

Follow-up

Participants are monitored for falls and related outcomes over a 24-month period post-baseline

24 months
Bimonthly telephone interviews

What Are the Treatments Tested in This Trial?

Interventions

  • CatchU Intervention
Trial Overview CatchU Intervention is being tested; it's an iPhone app designed to assess fall risk in older adults. The trial aims to show how well this app predicts falls by using it during clinical visits and follow-up telehealth calls. This pilot study will involve 300 patients over two years.
How Is the Trial Designed?
2Treatment groups
Experimental Treatment
Active Control
Group I: CatchU InterventionExperimental Treatment1 Intervention
Group II: ControlActive Control1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

Jeannette Mahoney

Lead Sponsor

Trials
1
Recruited
80+

Albert Einstein College of Medicine

Lead Sponsor

Trials
302
Recruited
11,690,000+

Burke Rehabilitation Hospital

Collaborator

Trials
9
Recruited
750+

Montefiore Medical Center

Collaborator

Trials
468
Recruited
599,000+

Citations

Individually-tailored multifactorial intervention to reduce falls in the Malaysian Falls Assessment and Intervention Trial (MyFAIT): A randomized controlled trial. [2019]
Using the timed up and go test to stratify elderly inpatients at risk of falls. [2017]
Mobile Technology for Falls Prevention in Older Adults. [2023]
Automating the Timed Up and Go Test Using a Depth Camera. [2018]
Longitudinal study of the Home Falls and Accidents Screening Tool in identifying older people at increased risk of falls. [2022]
The experiences of older adults with cognitive impairment in using falls prevention alarms in hospital: A qualitative descriptive study. [2023]
Validity and reliability of an android device for the assessment of fall risk in older adult inmates. [2023]
Enabling older adults to carry out paperless falls-risk self-assessments using guidetomeasure-3D: A mixed methods study. [2020]
Comparison of a fall risk assessment tool with nurses' judgement alone: a cluster-randomised controlled trial. [2019]
10.United Statespubmed.ncbi.nlm.nih.gov
Feasibility, acceptability, and effectiveness of an electronic sensor bed/chair alarm in reducing falls in patients with cognitive impairment in a subacute ward. [2014]
Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors. [2020]
Assessing fall risk using wearable sensors: a practical discussion. A review of the practicalities and challenges associated with the use of wearable sensors for quantification of fall risk in older people. [2021]
High Specificity of Single Inertial Sensor-Supplemented Timed Up and Go Test for Assessing Fall Risk in Elderly Nursing Home Residents. [2022]
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