Evidence map›Paper›PMID 32959179›Full record

ArticleSurgical endoscopy2021

Population demographics in geographic proximity to hospitals with robotic platforms do not correlate with disparities in access to robotic surgery.

Katherine Bingmer, Maher Kazimi, Victoria Wang, Asya Ofshteyn, Emily Steinhagen, Sharon L Stein

Abstract read
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Article in Surgical endoscopy, 2021. 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
–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

3 citing papers in PubMed.

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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

6 authors.

Katherine BingmerDepartment of Surgery, UH-RISES, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, LKS 5047, Cleveland, OH, 44106, USA.ORCID http://orcid.org/0000-0002-0155-801X
Maher KazimiDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Victoria WangCase Western Reserve University School of Medicine, Cleveland, OH, USA.
Asya OfshteynDepartment of Surgery, UH-RISES, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, LKS 5047, Cleveland, OH, 44106, USA.
Emily SteinhagenDepartment of Surgery, UH-RISES, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, LKS 5047, Cleveland, OH, 44106, USA.
Sharon L SteinDepartment of Surgery, UH-RISES, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, LKS 5047, Cleveland, OH, 44106, USA. Sharon.stein@uhhospitals.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisparities in access to robotic surgery have been shown on the local, regional, and national level. This study aims to see if the location of hospitals with robotic platforms (HWR) correlates with population trends to explain the disparity in access to robotic surgery.

methodsHospitals with da Vinci surgical systems were identified by compiling data from the publicly available da Vinci surgeon locator website. Demographic, and economic data were compiled. Multivariate logistic regression and place-based analysis were used to determine population characteristics associated with geographic proximity to HWR.

resultsThe United States has 1971 HWR (5.93 hospitals with robots per 1 million people). The states with the most HWR are Texas (203), California (175), and Florida (162). Multivariate logistic regression analysis of Texas counties determined population (OR 1.97, 95% CI 1.40-3.38) education level (OR 1.64, 95% CI 1.07-3.21), and urban designation (OR 1.15, 95% CI 1.05-1.31) remained significantly associated with HWR. When applied to a national level, population remained associated with higher numbers of HWR (R = 0.945), however level of education and urbanization were not.

conclusionsBased on this study of population-level data, disparities in access to robotic surgery seen in prior literature cannot be explained exclusively by sociodemographic factors related to the geographic proximity of HWR. This suggests other biases are involved in the lack of robotic procedures performed among minority and underprivileged populations.

Indexed as

RoboticsRobotic Surgical ProceduresDemographyHospitalsHumansTexasUnited StatesHealthcare disparitiesMinimally invasive surgeryPlace-based analysisRobotic surgerySurgical disparities

Identifiers

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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.