Evidence map›Paper›PMID 38391066›Full record

ArticleNursing reports (Pavia, Italy)2024

Potential of Assistive Robots in Clinical Nursing: An Observational Study of Nurses' Transportation Tasks in Rural Clinics of Bavaria, Germany.

Domenic Sommer, Jakob Kasbauer, Dietmar Jakob, Sebastian Schmidt, Florian Wahl

Open access · goldAbstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
11.0field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Hospital-Based Robotic Applications in Nursing Practice: A Scoping Review.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
    Article
  3. [Smart assistants: service robots in action].Urologie (Heidelberg, Germany) · 2026
    Article
  4. [Artificial intelligence in hospital logistics and operational processes].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Review
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Domenic SommerTechnology Campus Grafenau, Deggendorf Institute of Technology, 94481 Grafenau, Germany.ORCID 0000-0002-2581-513X
Jakob KasbauerTechnology Campus Grafenau, Deggendorf Institute of Technology, 94481 Grafenau, Germany.ORCID 0000-0001-7628-7296
Dietmar JakobTechnology Campus Grafenau, Deggendorf Institute of Technology, 94481 Grafenau, Germany.ORCID 0000-0003-3542-2142
Sebastian SchmidtTechnology Campus Grafenau, Deggendorf Institute of Technology, 94481 Grafenau, Germany.ORCID 0009-0008-5418-3064
Florian WahlTechnology Campus Grafenau, Deggendorf Institute of Technology, 94481 Grafenau, Germany.ORCID 0000-0002-1163-1399
Deggendorf Institute of Technology · DE

Funding

German Federal Ministry for Digital and Transport 45FGU120
6 · The paper itself

Abstract

Transportation tasks in nursing are common, often overlooked, and directly impact patient care time in the context of staff shortages and an aging society. Current studies lack a specific focus on transportation tasks, a gap our research aims to fill. By providing detailed data on transportation needs in nursing, our study establishes a crucial foundation for the development and integration of assistive robots in clinical settings. In July and September 2023, we conducted weekly observations of nurses to assess clinical transportation needs. We aim to understand the economic impact and the methods nurses use for transportation tasks. We conducted a participant observation using a standardized app-based form over a seven-day observation period in two rural clinics. N = 1830 transports were made by nurses and examined by descriptive analysis. Non-medical supplies account for 27.05% (n = 495) of all transports, followed by medical supplies at 17.32% (n = 317), pharmacotherapy at 14.10% (n = 258) and other other categories like meals or drinks contributing 12.68% (n = 232). Most transports had a factual transport time of under a minute, with patient transport and lab samples displaying more variability. In total, 77.15% of all transports were made by hand. Requirements to collect items or connect transports with patient care were included in 5% of all transports. Our economic evaluation highlighted meals as the most costly transport, with 9596.16 € per year in the observed clinics. Budget-friendly robots would amortize these costs over one year by transporting meals. We support understanding nurses' transportation needs via further research on assistive robots to validate our findings and determine the feasibility of transport robots.

Indexed as

assistiveintra-hospital transferlogisticsnursing task analysistime and motion study

Identifiers

PMID38391066
PMCPMC10885045
OpenAlexW4391220016

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.