Evidence map›Paper›PMID 25941184›Full record

ArticleBMJ open2015

Disparities in the receipt of robot-assisted radical prostatectomy: between-hospital and within-hospital analysis using 2009-2011 California inpatient data.

Jungyoon Kim, Wael ElRayes, Fernando Wilson, Dejun Su, Dmitry Oleynikov, Marsha Morien, Li-Wu Chen

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  14. Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience.International journal of urology : official journal of the Japanese Urological Association · 2022
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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

7 authors.

Jungyoon KimDepartment of Health Services Research & Administration, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Wael ElRayesDepartment of Health Services Research & Administration, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Fernando WilsonDepartment of Health Services Research & Administration, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Dejun SuDepartment of Health Promotion, Social and Behavioral Health, Center for Reducing Health Disparities, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Dmitry OleynikovCenter for Advanced Surgical Technology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Marsha MorienDepartment of Health Services Research & Administration, University of Nebraska Medical Center, Omaha, Nebraska, USA.ORCID http://orcid.org/0000-0003-4374-9399
Li-Wu ChenDepartment of Health Services Research & Administration, University of Nebraska Medical Center, Omaha, Nebraska, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite the rapid proliferation of robot-assisted radical prostatectomy (RARP), little attention has been paid to patient utilisation of this newest surgical innovation and barriers that may result in disparities in access to RARP. The goal of this study is to identify demographic and economic factors that decrease the likelihood of patients with prostate cancer (PC) receiving RARP. DESIGN, SETTING AND

participantsA retrospective, pooled, cross-sectional study was conducted using 2009-2011 California State Inpatient Data and American Hospital Association data. Patients who were diagnosed with PC and underwent radical prostatectomy (RP) from 225 hospitals in California were identified, using ICD-9-CM diagnosis and procedure codes. PRIMARY OUTCOME MEASURES: Patients' likelihood of receiving RARP was associated with patient and hospital characteristics using the two models: (1) between-hospital and (2) within-hospital models. Multivariate binomial logistic regression was used for both models. The first model predicted patient access to RARP-performing hospitals versus non-RARP-performing hospitals, after adjusting for patient and hospital-level covariates (between-hospital variation). The second model examined the likelihood of patients receiving RARP within RARP-performing hospitals (within-hospital variation).

resultsAmong 20,411 patients who received RP, 13,750 (67.4%) received RARP, while 6661 (32.6%) received non-RARP. This study found significant differences in access to RARP-performing hospitals when race/ethnicity, income and insurance status were compared, after controlling for selected confounding factors (all p<0.001). For example, Hispanic, Medicare and Medicaid patients were more likely to be treated at non-RARP-performing hospitals versus RARP-performing hospitals. Within RARP-performing hospitals, Medicaid patients had 58% lower odds of receiving RARP versus non-RARP (adjusted OR 0.42, p<0.001). However, there were no significant differences by race/ethnicity or income within RARP-performing hospitals.

conclusionsSignificant differences exist by race/ethnicity and payer status in accessing RARP-performing hospitals. Furthermore, payer status continues to be an important predictor of receiving RARP within RARP-performing hospitals.

Indexed as

AgedCaliforniaCross-Sectional StudiesHealthcare DisparitiesHospitalsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPostoperative ComplicationsProstatectomyProstatic NeoplasmsRetrospective StudiesRobotic Surgical ProceduresHEALTH SERVICES ADMINISTRATION & MANAGEMENTProstate disease < UROLOGY

Identifiers

PMID25941184
PMCPMC4420943

What OpenQuestion holds

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LicenceCC BY-NC
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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.