Evidence map›Paper›PMID 28716116›Full record

ArticleBMC research notes2017

Catching and monitoring clinical innovation through performance indicators. The case of the breast-conserving surgery indicator.

Anna Maria Murante, Silvio Candelori, Paola Rucci, Sabina Nuti, Manuela Roncella, Matteo Ghilli, Andrea Mercatelli, Maria Pia Fantini

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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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.

Anna Maria MuranteScuola Superiore Sant'Anna, Istituto di Management, Laboratorio Management e Sanità, Piazza Martiri della Libertà 33, 56127, Pisa, Italy.
Silvio CandeloriDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy.
Paola RucciDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy.
Sabina NutiScuola Superiore Sant'Anna, Istituto di Management, Laboratorio Management e Sanità, Piazza Martiri della Libertà 33, 56127, Pisa, Italy.
Manuela RoncellaBreast Cancer Surgical Unit, University Hospital Trust of Pisa, Via Roma 67, 56126, Pisa, Italy.
Matteo GhilliBreast Cancer Surgical Unit, University Hospital Trust of Pisa, Via Roma 67, 56126, Pisa, Italy.
Andrea MercatelliHospital Administration, University Hospital Trust "Careggi", Largo Brambilla 3, 50134, Florence, Italy.
Maria Pia FantiniDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy. mariapia.fantini@unibo.it.ORCID http://orcid.org/0000-0002-3257-6552
University of Bologna · ITScuola Superiore Sant'Anna · ITAzienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe evolution in the surgical and diagnostic procedures, the attention to women's preferences, the case mix, and differences in professional practices may lead to a variability in the quality of breast cancer clinical pathway. To catch and manage this variability it is important to use valid measures. The aim of this paper is to examine the concurrent validity of the breast-conserving surgery (BCS) indicator and to provide evidence to guide the quality improvement process.

methodsThe BCS indicator was calculated using hospital discharge records (HDRs) and was validated against surgical registry (SR) data in a random sample of 336 women undergoing breast cancer surgery in 2012 in two Tuscan teaching hospitals. The concurrent validity of BCS was examined by cross-tabulating patients using the ICD-9 CM codes for breast surgery obtained from the two data sources.

resultsThe analysis, carried out involving breast cancer professionals, highlighted that the large majority of interventions coded as "mastectomies" in HDRs are in fact reconstructing procedures, including nipple-sparing, skin-sparing and skin-reducing mastectomies in SR. These results led us to refine the old algorithm, that calculates the proportion of breast-conserving surgery over the total number of breast interventions, and reclassify breast cancer surgical procedures into three categories: conservative, reconstructive and traditional mastectomy. Based on this new classification algorithm, the percentages of (I) reconstructive interventions were 16% at Florence TH and 38.3% at Pisa TH; (II) breast-conserving interventions were respectively 72.8 and 52.1%; and (III) mastectomies 11.2 and 9.6%. After adjusting for age in a logistic regression model, the percentages of reconstructive interventions at Florence and Pisa were respectively 22 and 34% and those of breast-conserving interventions 63 and 53%.

conclusionsOur results indicate that breast cancer care indicators should be refined by distinguishing reconstructive procedures (nipple/skin-sparing surgery with implant or breast tissue expander insertion) from traditional mastectomy. The involvement of breast care professionals in the choice of indicators proved to be crucial to capture the up-to-date breast cancer surgical practice and inform the quality improvement process.

Indexed as

Hospitals, TeachingHumansItalyMastectomyMastectomy, SegmentalQuality ImprovementQuality Indicators, Health CareBreast cancerBreast conserving surgeryHealthcare qualityPerformance indicatorsProfessional involvement

Identifiers

PMID28716116
PMCPMC5513021
OpenAlexW2734924377

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.