Evidence map›Paper›PMID 28964456›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2017

Do Robotic Surgical Systems Improve Profit Margins? A Cross-Sectional Analysis of California Hospitals.

Ya-Chen Tina Shih, Chan Shen, Jim C Hu

Abstract readComparative Study
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

3 authors.

Ya-Chen Tina ShihSection of Cancer Economics and Policy, Department of Health Services Research, University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: yashih@mdanderson.org.
Chan ShenSection of Cancer Economics and Policy, Department of Health Services Research, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jim C HuDepartment of Urology, Weill Cornell Medical College, New York, NY, USA.

Funding

Innovative methods for modeling longitudianl medical costsR01HS020263 · AHRQ · UNIVERSITY OF VIRGINIA · PI LIU, LEI · 2011 to 2015
$2.0M
Technology Diffusion in Cancer: Geographic Variations, Facilitators, Outcomes, and CostsR01CA207216 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHIH, YA-CHEN TINA · 2016 to 2020
$1.6M
Impact of the Diffusion of Robotic Surgical Systems on the Financial Performance, Market Shares, and Inpatient Costs of U.S. HospitalsR03HS024608 · AHRQ · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHEN, CHAN · 2016 to 2017
$100k
AHRQ HHS R01 HS020263AHRQ HHS R03 HS024608NCI NIH HHS R01 CA207216
6 · The paper itself

Abstract

backgroundThe aim of this study was to examine the association between ownership of robotic surgical systems and hospital profit margins.

methodsThis study used hospital annual utilization data, annual financial data, and discharge data for year 2011 from the California Office of Statewide Health Planning and Development. We first performed bivariate analysis to compare mean profit margin by hospital and market characteristics and to examine whether these characteristics differed between hospitals that had one or more robotic surgical systems in 2011 and those that did not. We applied the t test and the F test to compare mean profit margin between two groups and among three or more groups, respectively. We then conducted multilevel logistic regression to determine the association between ownership of robotic surgical systems and having a positive profit margin after controlling for other hospital and market characteristics and accounting for possible correlation among hospitals located within the same market.

resultsThe study sample included 167 California hospitals with valid financial information. Hospitals with robotic surgical systems tended to report more favorable profit margins. However, multilevel logistic regression showed that this relationship (an association, not causality) became only marginally significant (odds ratio [OR] = 6.2; P = 0.053) after controlling for other hospital characteristics, such as ownership type, teaching status, bed size, and surgical volumes, and market characteristics, such as total number of robotic surgical systems owned by other hospitals in the same market area.

conclusionsAs robotic surgical systems become widely disseminated, hospital decision makers should carefully evaluate the financial and clinical implications before making a capital investment in this technology.

Indexed as

CaliforniaCross-Sectional StudiesEconomics, HospitalHospitalsHumansLogistic ModelsOwnershipRobotic Surgical Procedureshospital financehospital profit marginhysterectomyprostatectomyrobotic surgerytechnology diffusion

Identifiers

PMID28964456
PMCPMC5644490

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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.