Evidence map›Paper›PMID 33836734›Full record

ArticleBMC nursing2021

Validation of nursing documentation regarding in-hospital falls: a cohort study.

Karolina Krakau, Helene Andersson, Åsa Franzén Dahlin, Louise Egberg, Eila Sterner, Maria Unbeck

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Documenting fall episodes: a scoping review.Frontiers in public health · 2023
    Article
  3. Article
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 2 countries.

Karolina KrakauDepartment of Rehabilitation Medicine, Danderyd Hospital, Danderyd, Sweden.
Helene AnderssonDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Solna, Sweden.
Åsa Franzén DahlinDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Solna, Sweden. asa.franzen-dahlin@ki.se.ORCID http://orcid.org/0000-0002-5054-2188
Louise EgbergDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Solna, Sweden.
Eila SternerDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
Maria UnbeckDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
Danderyds sjukhus · SEDalarna University · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn-hospital fall incidents are common and sensitive to nursing care. It is therefore important to have easy access to valid patient data to evaluate and follow-up nursing care. The aim of the study was to validate the nursing documentation, using a specific term in the registered nurses´ (RNs´) discharge note, regarding inpatient falls according to the outcome of a digitalized data extraction tool and the discharge note itself.

methodsAt a teaching hospital, 31,571 episodes of care were eligible for inclusion in this retrospective cohort study. A stratified sampling including five groups was used, two with random sampling and three with total sampling. In total, 1232 episodes of care were reviewed in the electronic patient record using a study-specific protocol. Descriptive statistics were used.

resultsIn total, 590 episodes of care in the study cohort included 714 falls. When adjusted for the stratified sampling the cumulative incidence for the study population was 1.9%. The positive predictive value in total for the data extraction tool regarding the presence of any fall, in comparison with the record review, was 87.4%. Discrepancies found were, for example, that the RNs, at discharge, stated that the patient had fallen but no documented evidence of that could be detected during admission. It could also be the opposite, that the RNs correctly had documented that no fall had occurred, but the data extraction tool made an incorrect selection. When the latter had been withdrawn, the positive predictive value was 91.5%. Information about minor injuries due to the fall was less accurate. In the group where RNs had stated that the patient had fallen without injury, minor injuries had actually occurred in 28.3% of the episodes of care.

conclusionsThe use of a specific term regarding fall in the RNs´ discharge note seems to be a valid and reliable data measurement and can be used continuously to evaluate and follow-up nursing care.

Indexed as

DocumentationFallNursingPatient safetyQuality indicator

Identifiers

PMID33836734
PMCPMC8034134
OpenAlexW3143589855

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.