Evidence map›Paper›PMID 35850739›Full record

ArticleBMC geriatrics2022

Sentinel fall presenting to the emergency department (SeFallED) - protocol of a complex study including long-term observation of functional trajectories after a fall, exploration of specific fall risk factors, and patients' views on falls prevention.

Tim Stuckenschneider, Jessica Koschate, Ellen Dunker, Nadja Reeck, Michel Hackbarth, Sandra Hellmers, Robert Kwiecien, Sandra Lau, Anna Levke Brütt, Andreas Hein and 1 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Trial
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  4. Observational
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  9. Research in Partnership With Older People-Involvement in Conducting and Analysing Focus Groups.Health expectations : an international journal of public participation in health care and health policy · 2025
    Observational
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  11. Review
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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.

Tim Stuckenschneider *Department for Health Services Research, Geriatric Medicine, School of Medicine and Health Sciences, Carl Von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany.
Jessica Koschate *Department for Health Services Research, Geriatric Medicine, School of Medicine and Health Sciences, Carl Von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany.
Ellen DunkerDepartment for Health Services Research, Geriatric Medicine, School of Medicine and Health Sciences, Carl Von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany.
Nadja ReeckDepartment of Health Services Research, Junior Research Group for Rehabilitation Sciences, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany.
Michel HackbarthDepartment for Health Services Research, Geriatric Medicine, School of Medicine and Health Sciences, Carl Von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany.
Sandra HellmersDepartment for Health Assistance Systems and Medical Device Technology, Services Research, School of Medicine and Health Sciences, Carl Von Ossietzky University, Oldenburg, Germany.
Robert KwiecienInstitute of Biostatistics and Clinical Research, University of Muenster, Münster, Germany.
Sandra LauDepartment for Health Services Research, Geriatric Medicine, School of Medicine and Health Sciences, Carl Von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany.
Anna Levke BrüttDepartment of Health Services Research, Junior Research Group for Rehabilitation Sciences, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany.
Andreas HeinDepartment for Health Assistance Systems and Medical Device Technology, Services Research, School of Medicine and Health Sciences, Carl Von Ossietzky University, Oldenburg, Germany.
Tania ZieschangDepartment for Health Services Research, Geriatric Medicine, School of Medicine and Health Sciences, Carl Von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany. tania.zieschang@uol.de.ORCID 0000-0001-6858-4282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are a leading cause for emergency department (ED) visits in older adults. As a fall is associated with a high risk of functional decline and further falls and many falls do not receive medical attention, the ED is ideal to initiate secondary prevention, an opportunity generally not taken. Data on trajectories to identify patients, who would profit the most form early intervention and to examine the impact of a fall event, are lacking. To tailor interventions to the individual's needs and preferences, and to address the whole scope of fall risks, we developed this longitudinal study using an extensive assessment battery including dynamic balance and aerobic fitness, but also sensor-based data. Additionally, participative research will contribute valuable qualitative data, and machine learning will be used to identify trips, slips, and falls in sensor data during daily life.

methodsThis is a mixed-methods study consisting of four parts: (1) an observational prospective study, (2) a randomized controlled trial (RCT) to explore whether a diagnostic to measure reactive dynamic balance influences fall risk, (3) machine learning approaches and (4) a qualitative study to explore patients' and their caregivers' views. We will target a sample size of 450 adults of 60 years and older, who presented to the ED of the Klinikum Oldenburg after a fall and are not hospitalized. The participants will be followed up over 24 months (within four weeks after the ED, after 6, 12 and 24 months). We will assess functional abilities, fall risk factors, participation, quality of life, falls incidence, and physical activity using validated instruments, including sensor-data. Additionally, two thirds of the patients will undergo intensive testing in the gait laboratory and 72 participants will partake in focus group interviews. DISCUSSION: The results of the SeFallED study will be used to identify risk factors with high predictive value for functional outcome after a sentinel fall. This will help to (1) establish a protocol adapted to the situation in the ED to identify patients at risk and (2) to initiate an appropriate care pathway, which will be developed based on the results of this study.

trial registrationDRKS (Deutsches Register für klinische Studien, DRKS00025949 ). Prospectively registered on 4

Indexed as

Emergency Service, HospitalGaitAgedExercise TherapyHumansObservational Studies as TopicRandomized Controlled Trials as TopicRisk FactorsActivities of daily livingAerobic fitnessCognitive impairmentDynamic balanceEmergency departmentFalls preventionMachine learningOlder adultsPatient involvementPerturbation

Identifiers

PMID35850739
PMCPMC9289928

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.