Evidence map›Paper›PMID 40957997›Full record

ReviewResearch in health services & regions2025

Mapping and managing geographic variation in elective surgeries through user-friendly data presentation: insights from Tuscany region.

Alessia Caputo, Milena Vainieri, Sabina Nuti

Abstract readReview
In one paragraph

Review in Research in health services & regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Alessia CaputoManagement and Healthcare Laboratory, Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy. alessia.caputo@santannapisa.it.ORCID http://orcid.org/0009-0007-7970-4690
Milena VainieriManagement and Healthcare Laboratory, Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID http://orcid.org/0000-0002-0914-4487
Sabina NutiInterdisciplinary Research Center "Health Science", Scuola Superiore Sant'Anna, Pisa, Italy.ORCID http://orcid.org/0000-0002-2093-1828

Funding

Regione Toscana Regione Toscana
6 · The paper itself

Abstract

Geographic variation in elective surgical procedures poses challenges to healthcare equity, efficiency, and resource allocation. This study investigates variation in 14 elective surgical procedures performed in Tuscany, Italy, in 2022, focusing on both regional and Local Health Authority levels. Using hospital discharge data, we calculated treatment rates and the Systematic Component of Variation (SCV) to quantify unwarranted variation, applying McPherson et al. (1996)'s thresholds for interpretation. Results revealed substantial differences across procedures, with low SCVs for hip replacement and inguinal hernia repair, and very high SCVs for vein stripping and coronary artery bypass grafting. To support interpretation and governance, we developed a graphical tool that visually represents SCV levels using an intuitive, color-coded format. The tool was designed to reduce the uncertainty healthcare professionals often face when interpreting variation without clear clinical benchmarks, helping them distinguish between acceptable and potentially unwarranted differences. It was presented during the 2023 Tuscan Performance Evaluation System event and pilot-tested in 2025 with 23 healthcare professionals. The tool improved participants' ability to identify the most appropriate level of governance for action and increased confidence in understanding variation patterns. This study offers a replicable model for analyzing variation and demonstrates the value of user-friendly data visualizations in supporting informed, equity-oriented healthcare decisions. Further validation is recommended to assess long-term impact.

Indexed as

Data visualizationElective surgeryHealthcare decision-makingPerformance evaluation systemSystematic component of variationUnwarranted variation

Identifiers

PMID40957997
PMCPMC12440846

What OpenQuestion holds

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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.