Evidence map›Paper›PMID 27987098›Full record

ArticleLangenbeck's archives of surgery2017

A surgical department for intensified care.

Pierluigi di Sebastiano, Tommaso Grottola, Anna Maysse, Maria Marino, Francesco Zavattaro, Pas Quale Flacco, F Francesco di Mola

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Article in Langenbeck's archives of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Pierluigi di SebastianoDivision of Surgical Oncology, ASL-2 Abruzzo, "SS Annunziata" Hospital, I-66100, Chieti, Italy. p.disebastiano@asl2abruzzo.it.
Tommaso GrottolaDivision of Surgical Oncology, ASL-2 Abruzzo, "SS Annunziata" Hospital, I-66100, Chieti, Italy.
Anna MaysseDivision of Surgical Oncology, ASL-2 Abruzzo, "SS Annunziata" Hospital, I-66100, Chieti, Italy.
Maria MarinoDivision of Surgical Oncology, ASL-2 Abruzzo, "SS Annunziata" Hospital, I-66100, Chieti, Italy.
Francesco ZavattaroASL-2 Abruzzo, Chieti, Italy.
Pas Quale FlaccoASL-2 Abruzzo, Chieti, Italy.
F Francesco di MolaDivision of Surgical Oncology, ASL-2 Abruzzo, "SS Annunziata" Hospital, I-66100, Chieti, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe growing pressure to rationalize costs in the healthcare system demands the development of new healthcare models aimed at allowing patients to receive the best treatment, without ignoring the rising costs.

methodsIn the Healthcare Unit 2 located in the Abruzzo region in Italy, a new model of intensified care surgical department was designed in January 2013. The department was based on the selection of the degree of patient disease. Patients requiring a medium-low degree surgery were treated in the peripheral unit, in the Ortona hospital, while more complex surgical procedures, most cancer cases (including stomach, liver, pancreas, colon-rectum or multi-organ resections), were performed in the central unit in the Chieti hospital.

resultsThe value of production at the peripheral unit, in Ortona, increased by 299.4% along with an increase in discharges of 112.6%, with an average DRG weight from 1.02 to 1.45. At the central unit, in Chieti, the average DRG weight produced was 3.328. In relation to quality assessment, pancreatic surgery morbidity was 27.0% and mortality was 1.7 % due to resection and 2.2% for other causes. Likewise, for colon-rectal surgery, a global morbidity of 35.0% and anastomotic leakage of 3.9% was seen.

conclusionsThe 24-month preliminary results show that new models of intensified care surgical departments can be created. In addition, results clearly show that such model significantly improves both services and surgical results. This original model allows optimal use of resources favouring both service quality and patient satisfaction.

Indexed as

Quality of Health CareCritical CareDelivery of Health CareHospitalizationHumansItalyPatient SelectionSurgery Department, HospitalHealth economicsSurgery

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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.