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Identify the Factors Responsible for Fall and Design a software application for Advising Walking supportive device to Elderly People.

Identify the Factors Affecting Fall Predictability and Design the software application to Prescribe Walking aid for Geriatric People - An Exploratory Multiphasic study.

Status
Active, not recruiting
Phases
Phase 4
Study type
Observational
Source
CTRI
Registry ID
CTRI/2019/09/021320
Enrollment
130
Registered
2019-09-18
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: NIL: NIL Intervention2: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

School of Physiotherapy RK University
Lead Sponsor
Sadbhavna Vrudhasharm
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: Geriatric with and without history of Fall in last one year.

Exclusion criteria

Exclusion criteria: Geriatric who are already using walking aid.

Design outcomes

Primary

MeasureTime frame
Soft ware application - Fall PredictorTimepoint: After Completion of Phase-III

Secondary

MeasureTime frame
Berg Balance ScaleTimepoint: Minimum-0 Maximum-56;Modified Falls Efficacy ScaleTimepoint: Minimum-0 Maximum-140

Countries

India

Contacts

Public ContactUrvi Pithawa

School of Physiotherapy RK University

priyanshu.rathod@rku.ac.in9426803108

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026