Evidence map›Paper›PMID 39408168›Full record

ArticleHealthcare (Basel, Switzerland)2024

How Are Diagnosis-Related Groups and Staffing Allocation Systems Associated with the Complexity of Nursing Care? An Observational Study.

Diletta Fabrizi, Davide Paolo Bernasconi, Giulia Locatelli, Michela Luciani, Giorgio Beretta, Stefania Di Mauro, Paola Rebora, Davide Ausili

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

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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

8 authors.

Diletta FabriziDepartment of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0002-5152-8804
Davide Paolo BernasconiDepartment of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0001-8771-5428
Giulia LocatelliDepartment of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0003-1841-8379
Michela LucianiDepartment of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0001-7598-5658
Giorgio BerettaDirezione Aziendale delle Professioni Sanitarie e Socio-Sanitarie, Azienda Socio Sanitaria Territoriale di Lecco, Via dell'Eremo 9/11, 23900 Lecco, Italy.ORCID 0009-0007-9596-6164
Stefania Di MauroDepartment of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.
Paola ReboraDepartment of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.
Davide AusiliDepartment of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Italy, Diagnosis-Related Groups (DRGs) have been adopted for hospital services reimbursement. In some Italian regions, nurse staffing allocation is purely volume-based, with different minutes/patient/day categories determined by the type of hospital ward. The Information System of Nursing Performance (SIPI) is a valid and reliable tool assessing nursing care complexity as an indicator of the actual nursing care demand. Evidence is lacking about the ability of current resource allocation methods to account for the nursing care demand.

objectiveTo evaluate the association between (1) DRG rates and nursing care complexity and (2) hospital ward categories of nurse staffing and nursing care complexity.

methodsAll patients discharged from the medical department of an Italian hospital over a data collection period were eligible. To assess the association between nursing care complexity (SIPI) and DRGs, the distribution of the DRG rate (median and first-third quartile) was compared for cases with high or low complexity. To evaluate the association between nursing care complexity (SIPI) and nurse staffing, the frequency of high complexity within nurse staffing categories (120/180/240 min/patient/day) was compared. Because the sample was very large, methods of statistical inference were not applied, and only descriptive measures were reported.

results6872 hospitalizations were included. The median DRG rate for high and low complexity admissions were very similar (EUR 3536 and EUR 3285, respectively). The proportion of admissions with high complexity decreased for wards with higher staffing allocation rates.

conclusionDRG reimbursement and the nurse staffing allocation systems were ineffective in accounting for nursing care complexity. The SIPI could help identify areas requiring more financial and staffing resources for nursing care.

Indexed as

complexity of nursing carediagnosis-related groupsfinancial managementfinancial systemNational Health Servicenursing carenursing staff

Identifiers

PMID39408168
PMCPMC11475643

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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.