Evidence map›Paper›PMID 38093084›Full record

Trial reportInternal and emergency medicine2024

Real requirements of nursing activities and patient-related factors related to nursing overload in an internal medicine department.

Gianni Turcato, Arian Zaboli, Francesco Brigo, Marta Parodi, Francesca Fulghesu, Lidia Bertorelle, Serena Sibilio, Michael Mian, Paolo Ferretto, Daniela Milazzo and 2 more

Abstract readObservational StudyPragmatic Clinical Trial
PubMed Publisher
In one paragraph

Trial report in Internal and emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Gianni TurcatoDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy. gianni.turcato@yahoo.it.ORCID 0000-0002-8890-4113
Arian ZaboliInnovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
Francesco BrigoInnovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
Marta ParodiDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy.
Francesca FulghesuDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy.
Lidia BertorelleDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy.
Serena SibilioDepartment of Emergency Medicine, Hospital of Merano-Meran (SABES-ASDAA), Merano-Meran, Italy.
Michael MianInnovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
Paolo FerrettoDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy.
Daniela MilazzoDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy.
Monica TrentinDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy.
Massimo MarchettiDepartment of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), via Garziere, 43, 36014, Santorso, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adequate nursing care can be decisive for the outcome of a patient admitted to an internal medicine ward. Individual prediction of nursing activity at the time of a patient's admission could improve the work process. This study aimed to assess the objectively assessed nursing requirements of patients admitted to a medical setting and to identify clinical factors that correlate with high demands. This is a prospective and pragmatic observational study that enrolled patients admitted to the Internal Medicine ward at the Altovicentino Civil Hospital (Italy) between September 1 and December 31, 2022. Nursing activities were recorded for the first 3 days of hospitalization and standardized as performance/5 min/patient. Patients requiring more than the 75th percentile of performance/5 min/patient were considered nursing over-activities. Multivariable models were used to assess patient-related risk factors associated with nursing over-activity. This study enrolled 333 patients (mean age: 74.2; 55.6% male). Their mean Charlson Comorbidity Index (CCI), Clinical Frailty Scale (CFS), Chronic Barthel Index, and Sistema Informtativo della Performance Infermieristica (SIPI) scores were 5.3, 4.2, 62.4, and 53.7, respectively. Mean National Early Warning System (NEWS) on admission was 3.9 (standard deviation: 2.8). A median of 73 (interquartile range [IQR]: 54-109) nursing care activities/5 min/patient were performed. NEWS score (odds ratio [OR]: 1.372, 95% confidence interval [95%CI]: 1.216-1.547, p < 0.001) and Acute Barthel Index (OR: 0.983, 95%CI: 0.967-0.999, p = 0.041) were independent risk factors for nursing over-activities. NEWS and the Acute Barthel Index could help reorganize nursing resources within internal medicine wards, allowing for an equal distribution between patients who require more resources and those who require less.

Indexed as

HospitalizationPatientsAgedFemaleHumansItalyMaleProspective StudiesRisk FactorsInternal medicineNurse activitiesNurse activityNurse staffingNursingOverloadPatients related

Identifiers

What OpenQuestion holds

Textmetadata
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.