Evidence map›Paper›PMID 39186135›Full record

ArticleWiener klinische Wochenschrift2024

Relationship between GPS-based community mobility data and orthopedic trauma admissions during the COVID-19 pandemic in Austria: a multicenter analysis.

Natasa Jeremic, Harald Kurt Widhalm, Kevin Doering, Domenik Popp, Matthias Stark, Cornelia Ower, Arora Rohit, Roberto Boesenberg, Andreas Leithner, Arastoo Nia

Abstract readMulticenter Study
In one paragraph

Article in Wiener klinische Wochenschrift, 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
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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.

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

10 authors.

Natasa JeremicDepartment of Orthopedics and Trauma Surgery, Division of Trauma Surgery, Medical University of Vienna, Währinger Straße 18-20, 1090, Vienna, Austria.
Harald Kurt WidhalmDepartment of Orthopedics and Trauma Surgery, Division of Trauma Surgery, Medical University of Vienna, Währinger Straße 18-20, 1090, Vienna, Austria.
Kevin DoeringDepartment of Orthopedics and Trauma Surgery, Division of Trauma Surgery, Medical University of Vienna, Währinger Straße 18-20, 1090, Vienna, Austria.
Domenik PoppDepartment of Orthopedics and Trauma Surgery, Division of Trauma Surgery, Medical University of Vienna, Währinger Straße 18-20, 1090, Vienna, Austria.
Matthias StarkDepartment of Orthopedics and Trauma, LKH Neunkirchen, Neunkirchen, Austria.
Cornelia OwerDepartment of Orthopedic Surgery and Trauma Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Arora RohitDepartment of Orthopedic Surgery and Trauma Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Roberto BoesenbergVienna University of Economics and Business, Vienna, Austria.
Andreas LeithnerDepartment of Orthopedics and Trauma, Medical University of Graz, Graz, Austria.
Arastoo NiaDepartment of Orthopedics and Trauma Surgery, Division of Trauma Surgery, Medical University of Vienna, Währinger Straße 18-20, 1090, Vienna, Austria. arastoo.nia@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-9001-7732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main objective of this study was to examine the relationship between mobility patterns during the coronavirus disease 2019 (COVID-19) pandemic and orthopedic trauma patients in Austria. Utilizing global positioning system (GPS)-based mobility data, the attempt was to assess both the impact of COVID-19 lockdowns on reducing orthopedic trauma patients and the degree of compliance to the imposed movement restrictions.

methodsThis retrospective analysis included all patients (283,501) treated at 3 major level I trauma centers in Austria. Analyzed time periods were 1 January 2019 to 8 February 2021. Freely available GPS-based mobility data from Google and Apple Inc. was gathered.

resultsA moderate to strong correlation between the cumulative average outpatients and the assessed mobility index was observed for all cities (Google: r = 0.70 p < 0.001, 95% confidence interval, CI: 0.67-0.73; Apple: r = 0.64 p < 0.001, 95% CI: 0.61-0.67). A significant linear regression equation was found for Vienna (adjusted r

conclusionAnalyses of GPS-based mobility patterns show a correlation with trauma patient numbers. These findings can be used to develop prediction models, leading to better resource planning and public health policy, enhancing patient care and cost-effectiveness, especially in the event of future pandemics. Furthermore, the results suggest that compliance to mobility restrictions decreased over time during the COVID-19 pandemic, resulting in increased mobility and trauma patients.

Indexed as

COVID-19Geographic Information SystemsPandemicsAustriaFemaleHospitalizationHumansMaleMiddle AgedPatient AdmissionQuarantineRetrospective StudiesSARS-CoV-2Trauma CentersWounds and InjuriesCOVID-19GoogleGPS-basedMobilityOrthopedic trauma

Identifiers

PMID39186135
PMCPMC11534914

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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.