Evidence map›Paper›PMID 27717326›Full record

ArticleBMC geriatrics2016

Fall risk as a function of time after admission to sub-acute geriatric hospital units.

Kilian Rapp, Johannes Ravindren, Clemens Becker, Ulrich Lindemann, Andrea Jaensch, Jochen Klenk

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. A Simple and Accurate Model for Predicting Fall Injuries in Hospitalized Patients: Insights from a Retrospective Observational Study in Japan.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Association Between Characteristics of Injurious Falls and Fall Preventive Interventions in Acute Medical and Surgical Units.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  13. Article
  14. Review
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

6 authors at 3 institutions in 1 country.

Kilian RappDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany. kilian.rapp@rbk.de.ORCID 0000-0003-1625-2571
Johannes RavindrenDepartment of Neurology, Klinikum Stuttgart, Germany.
Clemens BeckerDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Ulrich LindemannDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Andrea JaenschInstitute of Epidemiology and Medical Biometry Ulm, Ulm University, Ulm, Germany.
Jochen KlenkDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Universität Ulm · DERobert Bosch Hospital · DEKlinikum Stuttgart · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is evidence about time-dependent fracture rates in different settings and situations. Lacking are data about underlying time-dependent fall risk patterns. The objective of the study was to analyse fall rates as a function of time after admission to sub-acute hospital units and to evaluate the time-dependent impact of clinical factors at baseline on fall risk.

methodsThis retrospective cohort study used data of 5,255 patients admitted to sub-acute units in a geriatric rehabilitation clinic in Germany between 2010 and 2014. Falls, personal characteristics and functional status at admission were extracted from the hospital information system. The rehabilitation stay was divided in 3-day time-intervals. The fall rate was calculated for each time-interval in all patients combined and in subgroups of patients. To analyse the influence of covariates on fall risk over time multivariate negative binomial regression models were applied for each of 5 time-intervals.

resultsThe overall fall rate was 10.2 falls/1,000 person-days with highest fall risks during the first week and decreasing risks within the following weeks. A particularly pronounced risk pattern with high fall risks during the first days and decreasing risks thereafter was observed in men, disoriented people, and people with a low functional status or impaired cognition. In disoriented patients, for example, the fall rate decreased from 24.6 falls/1,000 person-days in day 2-4 to about 13 falls/1,000 person-days 2 weeks later. The incidence rate ratio of baseline characteristics changed also over time.

conclusionsFall risk differs considerably over time during sub-acute hospitalisation. The strongest association between time and fall risk was observed in functionally limited patients with high risks during the first days after admission and declining risks thereafter. This should be considered in the planning and application of fall prevention measures.

Indexed as

Accidental FallsActivities of Daily LivingCognitionAgedAged, 80 and overFemaleGeriatric AssessmentGermanyHealth Services for the AgedHealth Status DisparitiesHospitalizationHumansLogistic ModelsMaleRetrospective StudiesRisk AssessmentAccidental FallsConfusionFemoral FracturesRehabilitation CentersStroke

Identifiers

PMID27717326
PMCPMC5054540
OpenAlexW2528371486

What OpenQuestion holds

Textmetadata
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.