Evidence map›Paper›PMID 37940726›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2024

[Implementation of fall sensors in long-term care : An interview study to identify promoting and inhibiting factors from the perspective of professional caregivers].

Marie-Christin Redlich, Florian Fischer

Open access · hybridAbstract readEnglish Abstract
In one paragraph

Article in Zeitschrift fur Gerontologie und Geriatrie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Marie-Christin RedlichBayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Albert-Einstein-Str. 6, 87437, Kempten, Deutschland.
Florian FischerBayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Albert-Einstein-Str. 6, 87437, Kempten, Deutschland. florian.fischer@hs-kempten.de.ORCID http://orcid.org/0000-0002-4388-1245
Kempten University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveDigital support systems are becoming increasingly more important in long-term inpatient care facilities. Welfare technologies have the potential to make a valuable contribution to maintaining independence in advanced age. At the same time the technologies can support professional caregivers. The aim of the study was to describe the expectations and experiences with a new technology, using the example of a fall sensor system, from the perspective of professional caregivers.

methodWe used a qualitative design with semistructured interviews in two long-term inpatient care facilities. In one facility, three individual interviews took place, while in the other long-term care facility, a group interview with three nursing professionals was conducted. Additionally, one individual interview was conducted with a person in a leadership role in each facility. The time from implementation of the fall sensors to the interviews was between 1 and 3 months. Data were analyzed using qualitative content analysis in MAXQDA. RESULTS AND DISCUSSION: The study demonstrated that there was a correspondence between expectations of and retrospective experiences with the new technology among professional nurses. The main facilitating factors of the implementation that were identified were timely information about the risk of falling or a fall that has occurred, maintenance of residents' autonomy and freedom of movement as well as the enhancement of the sense of security among nursing professionals and the associated psychological relief effect. The inhibiting factors of the implementation were compulsory presetting, false alarms and faulty handling of the technology due to missing knowledge.

Indexed as

Accidental FallsAttitude of Health PersonnelLong-Term CareAdultAgedFemaleGermanyHomes for the AgedHumansMaleMiddle AgedNursing HomesDigitalizationElderly careFall detectionFall preventionLong-term inpatient care

Identifiers

PMID37940726
PMCPMC11208179
OpenAlexW4388501274

What OpenQuestion holds

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Registered trials

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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.