Evidence map›Paper›PMID 32143625›Full record

ArticleBMC health services research2020

Complexity of nursing care at 24 h from admission predicts in-hospital mortality in medical units: a cohort study.

Davide Ausili, Davide Paolo Bernasconi, Paola Rebora, Lucia Prestini, Giorgio Beretta, Laura Ferraioli, Anna Cazzaniga, Maria Grazia Valsecchi, Stefania Di Mauro

Abstract read
In one paragraph

Article in BMC health services research, 2020. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Factors That Influence Nurse Staffing Levels in Acute Care Hospital Settings.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021
    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

9 authors.

Davide AusiliSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Davide Paolo BernasconiCenter of Biostatistics for Clinical Epidemiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Paola ReboraCenter of Biostatistics for Clinical Epidemiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy. paola.rebora@unimib.it.ORCID http://orcid.org/0000-0003-0606-5852
Lucia PrestiniASST della Valtellina e dell'Alto Lario, Sondrio, Italy.
Giorgio BerettaASST di Lecco, Lecco, Italy.
Laura FerraioliASST di Lecco, Lecco, Italy.
Anna CazzanigaASST di Lecco, Lecco, Italy.
Maria Grazia ValsecchiCenter of Biostatistics for Clinical Epidemiology, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Stefania Di MauroSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Informative System of Nursing Performance was developed to measure complexity of nursing care based on the actual interventions performed by nurses at the point of care. The association of this score with in-hospital mortality was not investigated before. Having this information is relevant to define evidence-based criteria that hospital administrators can use to allocate nursing workforce according to the real and current patients' need for nursing care. The aim of this study is to assess the association between complexity of nursing care and in-hospital mortality.

methodsRegister-based cohort study on all patients admitted to acute medical wards of a middle-large hospital in the North of Italy between January 1, 2014, to December 31, 2015 and followed up to discharge. Out of all the eligible 7247 records identified in the Hospital Discharge Register, 6872 records from 5129 patients have been included. A multivariable frailty Cox model was adopted to estimate the association between the Informative System of Nursing Performance score, both as continuous variable and dichotomized as low (score < 50) or high (score ≥ 50), and in-hospital mortality adjusting for several factors recorded at admission (age, gender, type of admission unit, type of access and Charlson Comorbidity Index).

resultsThe median age of the 5129 included patients was 76 [first-third quartiles 64-84] and 2657(52%) patients were males. Over the 6872 admissions, there were 395 in-hospital deaths among 2922 patients at high complexity of nursing care (13.5%) and 74/3950 (1.9%) among those at low complexity leading to a difference of 11.6% (95% CI: 10.3-13.0%). Adjusting by relevant confounders, the hazard rate of mortality in the first 10 days from admission resulted 6 times significantly higher in patients at high complexity of nursing care with respect to patients at low complexity (hazard ratio, HR 6.58, 95%CI: 4.50;9.62, p < 0.001). The HR was lower after 10 days from admission but still significantly higher than 1. By considering the continuous score, the association was confirmed.

conclusionComplexity of nursing care is strongly associated to in-hospital mortality of acute patients admitted to medical departments. It predicts in-hospital mortality better than widely used indicators, such as comorbidity.

Indexed as

Hospital UnitsAgedAged, 80 and overCohort StudiesFemaleHospital MortalityHumansItalyMaleMiddle AgedNursing CarePatient AdmissionTime FactorsHealth services researchHospital information systemsHospital medicineHospitalsNurse staffingNursing carePatient-centered careQuality of health care

Identifiers

PMID32143625
PMCPMC7059664

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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.