Evidence map›Paper›PMID 30811413›Full record

ArticlePloS one2019

Length of stay following cesarean sections: A population based study in the Friuli Venezia Giulia region (North-Eastern Italy), 2005-2015.

Luca Cegolon, Giuseppe Mastrangelo, Oona M Campbell, Manuela Giangreco, Salvatore Alberico, Lorenzo Montasta, Luca Ronfani, Fabio Barbone

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  13. Measuring quality of care in moderate and late preterm infants.Journal of perinatology : official journal of the California Perinatal Association · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Luca CegolonInstitute for Maternal and Child Health, IRCCS "Burlo Garofolo",Trieste, Italy.ORCID 0000-0002-6285-7355
Giuseppe MastrangeloPadua University, Department of Cardio-Thoracic & Vascular Sciences, Padua, Italy.
Oona M CampbellLondon School of Hygiene & Tropical Medicine, Faculty of Epidemiology & Population Health, MARCH Centre, London, United Kingdom.
Manuela GiangrecoInstitute for Maternal and Child Health, IRCCS "Burlo Garofolo",Trieste, Italy.
Salvatore AlbericoInstitute for Maternal and Child Health, IRCCS "Burlo Garofolo",Trieste, Italy.
Lorenzo MontastaInstitute for Maternal and Child Health, IRCCS "Burlo Garofolo",Trieste, Italy.
Luca RonfaniInstitute for Maternal and Child Health, IRCCS "Burlo Garofolo",Trieste, Italy.
Fabio BarboneInstitute for Maternal and Child Health, IRCCS "Burlo Garofolo",Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBirths by cesarean section (CS) usually require longer recovery time, and as a result women remain hospitalized longer following CS than vaginal delivery (VD). A number of strategies have been proposed to reduce avoidable health care costs associated with childbirth. Among these, the containment of length of hospital stay (LoS) has been identified as an important quality indicator of obstetric care and performance efficiency of maternity centres. Since improvement of obstetric care at hospital level needs quantitative evidence, we compared the maternity services of an Italian region on LoS post CS.

methodsWe conducted a population-based study in Friuli Venezia Giulia (FVG), a region of North-Eastern Italy, collecting data from all its 12 maternity centres (coded from A to K) during 2005-2015. We fitted a multivariable logistic regression using LoS as a binary outcome, higher/lower than the international early discharge (ED) cutoffs for CS (4 days), controlling for hospitals as well as several factors related to the clinical conditions of the mothers and the newborn, the obstetric history and socio-demographic background. Results were expressed as adjusted odds ratios (aOR) with 95% confidence interval (95%CI). Population attributable risks (PARs) were also calculated as proportional variation of LoS>ED for each hospital in the ideal scenario of having the same performance as centre J (the reference) during calendar year 2015. Results were expressed as PAR with 95%CI. Differences in mean LoS were also investigated with a multivariable linear regression model including the same explanatory factors of the above multiple logistic regression. Results were expressed as adjusted regression coefficients (aRC) with 95%CI.

resultsAlthough decreasing over the years (5.0 ± 1.7 days in 2005 vs. 4.4 ± 1.7 days in 2015), the pooled mean LoS in the whole FVG during these 11 years was still 4.7 ± 1.7 days, higher than respective international ED benchmark. The significant decreasing trend of LoS>ED over time in FVG (aOR = 0.89; 95%CI: 0.88; 0.90) was marginal as compared to the variability of LoS>ED observed among the various maternity services. Regardless it was expressed as aRC or aOR, LoS after CS was lowest in hospital C, highest in hospital D and intermediate in centres I, K, G, F, A, H, E, B and J (in descending order). The aOR of LoS being longer than ED ranged from 1.63 (95%CI:1.46; 1.81) in hospital B up to 32.09 (95%CI: 25.68; 40.10) in facility D. When hospitals were ranked by PAR the same pattern was found, even if restricting the analysis to low risk pregnancies.

conclusionsAlthough significantly decreasing over time, the mean LoS in FVG during 2005-2015 was 4.7 days, higher than the international threshold recommended for CS. There was substantial variability in LoS by facility centre, suggesting that internal organizational processes of single hospitals should be improved by enforcing standardized guidelines and using audits, economic incentives and penalties if need be.

Indexed as

Cesarean SectionLength of StayAdultCross-Sectional StudiesFemaleHumansInfant, NewbornItalyMale

Identifiers

PMID30811413
PMCPMC6392330

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Registered trials

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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.