Tailored interventions to prevent functional decline after a Sentinel Fall presenting to the Emergency Department – iSeFallED

Tailored interventions to prevent functional decline after a Sentinel Fall presenting to the Emergency Department – iSeFallED - iSeFallED

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00035322

Enrollment

350

Registered

2025-03-05

Start date

2025-03-24

Completion date

Unknown

Last updated

2026-04-27

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

Conditions

fall, which led to outpatient visit in emergency department

Interventions

Group 1: interventional study with parallel groups and historic control Individuals with mild risk for functional decline Intervention: brochure with information about active aging home assessments:

Eligibility

Sex/Gender

All

Age

60 Years to No maximum

Inclusion criteria

Inclusion criteria: - presentation to emergency department (Klinikum Oldenburg or the Evangelisches Krankenhaus) after a fall - discharged within 72h - informed consent

Exclusion criteria

Exclusion criteria: - life expectancy of less than 3 months - unstable medical, neurological or psychiatric condition - bedridden or being unable to walk without support of another person - patients, who are not able to walk without the support of another person (the use of walking aids are not an exclusion criterion, if they can be used independently - residence more than 40 km away from the research center - acute palliative care or terminal illness - social aggression or history of psychosis - inability to communicate verbally - inability to communicate in German or English, if no contact person is available in the emergency department and the home of the participant to translate

Design outcomes

Primary

Measure	Time frame
The primary outcome is to assess the acceptability, feasibility and effectiveness of a personalized falls prevention program.	—

Secondary

Measure	Time frame
Secondary outcomes include comparing falls per activity and the stratification of individuals with the historical controls from the study SeFallED. Furthermore, machine learning algorithms for near-fall detection will be developed and socioeconomic and regional inequalities will be considered.	—

Countries

Germany

Contacts

Public ContactTim Stuckenschneider

Carl von Ossietzky Universität Oldenburg, Fakultät VI, Medizin und Gesundheitswissenschaften, Department für Versorgungsforschung

tim.stuckenschneider@uni-oldenburg.de+49 441 798 2327

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: May 1, 2026