Evidence map›Paper›PMID 33799518›Full record

ArticleInternational journal of environmental research and public health2021

Lean Six Sigma Approach for Reducing Length of Hospital Stay for Patients with Femur Fracture in a University Hospital.

Arianna Scala, Alfonso Maria Ponsiglione, Ilaria Loperto, Antonio Della Vecchia, Anna Borrelli, Giuseppe Russo, Maria Triassi, Giovanni Improta

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
14.8field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Six Sigma in Health Literature, What Matters?International journal of environmental research and public health · 2021
    Pooled it
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  7. Management of Patients with Colorectal Cancer through Fast-Track Surgery.International journal of environmental research and public health · 2024
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  14. Is It Possible to Predict the Length of Stay of Patients Undergoing Hip-Replacement Surgery?International journal of environmental research and public health · 2022
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  17. Regression Models to Study the Total LOS Related to Valvuloplasty.International journal of environmental research and public health · 2022
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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 at 3 institutions in 1 country.

Arianna ScalaDepartment of Public Health, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0001-9735-5227
Alfonso Maria PonsiglioneDepartment of Electrical Engineering and Information Technology, University of Naples "Federico II", 80125 Naples, Italy.ORCID 0000-0003-1346-515X
Ilaria LopertoDepartment of Public Health, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0003-4943-6780
Antonio Della VecchiaHospital Directorate, "San Giovanni di Dio e Ruggi d'Aragona" University Hospital of Salerno, 84125 Salerno, Italy.
Anna BorrelliHospital Directorate, "San Giovanni di Dio e Ruggi d'Aragona" University Hospital of Salerno, 84125 Salerno, Italy.
Giuseppe RussoHospital Directorate, National Hospital A.O.R.N. "Antonio Cardarelli" of Naples, 80131 Naples, Italy.
Maria TriassiDepartment of Public Health, University of Naples "Federico II", 80131 Naples, Italy.
Giovanni ImprotaDepartment of Public Health, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-9485-1687
University of Naples Federico II · ITOspedali Riuniti San Giovanni di Dio e Ruggi d'Aragona · ITOspedale Antonio Cardarelli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical intervention within 48 h of hospital admission is the gold standard procedure for the management of elderly patients with femur fractures, since the increase in preoperative waiting time is correlated with the onset of complications and longer overall length of stay (LOS) in the hospital. However, national evidence demonstrates that there is still the need to provide timely intervention for this type of patient, especially in some regions of central southern Italy. Here we discuss the introduction of a diagnostic-therapeutic assistance pathway (DTAP) to reduce the preoperative LOS for patients undergoing femur fracture surgery in a university hospital. A Lean Six Sigma methodology, based on the DMAIC cycle (Define, Measure, Analyze, Improve, Control), is implemented to evaluate the effectiveness of the DTAP. Data were retrospectively collected and analyzed from two groups of patients before and after the implementation of DTAP over a period of 10 years. The statistics of the process measured before the DTAP showed an average preoperative LOS of 5.6 days (standard deviation of 3.2), thus confirming the need for corrective actions to reduce the LOS in compliance with the national guidelines. The influence of demographic and anamnestic variables on the LOS was evaluated, and the impact of the DTAP was measured and discussed, demonstrating the effectiveness of the improvement actions implemented over the years and leading to a significant reduction in the preoperative LOS, which decreased to an average of 3.5 days (standard deviation of 3.60). The obtained reduction of 39% in the average LOS proved to be in good agreement with previously developed DTAPs for femur fracture available in the literature.

Indexed as

FemurTotal Quality ManagementAgedHumansItalyLength of StayRetrospective Studieshealthcare qualityLean Six Sigmalength of stayprocess improvementpublic health

Identifiers

PMID33799518
PMCPMC8000325
OpenAlexW3133957411

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.