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Bharadwaj M, Langbein B, Labban M, Lipsitz SR, Licurse AM, Trinh QD. Patterns and Disparities in Telehealth Usage During the COVID-19 Pandemic Across Surgical Specialties. Telemed J E Health 2024; 30:866-873. [PMID: 37699226 DOI: 10.1089/tmj.2022.0332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023] Open
Abstract
Background: The COVID-19 pandemic has accelerated telehealth usage. This study aims to understand the impact of sociodemographic factors on telehealth usage during COVID-19 among surgical specialties. Methods: Our data contain surgical outpatient visits at an academic center from five periods between 2019 and 2020. A difference-in-differences regression model was used to examine the effect of exposure variables on virtual visit proportions between prepandemic and postpandemic time periods. Results: Compared with white patients, non-Medicare beneficiaries, and English-proficient patients, the rate of uptake in telehealth visits from prepandemic to postpandemic periods was lower for black patients, Medicare beneficiaries, and non-English-speaking patients, respectively. Surgical subspecialties saw varied usage of telehealth. A strong preference for phone visits by black patients, Medicare beneficiaries, and non-English-speaking patients existed. Conclusion: Phone visits are an important resource for marginalized communities. Understanding disparities in telemedicine usage may inform policy that could alleviate inequities in health care access.
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Affiliation(s)
- Maheetha Bharadwaj
- Division of Urological Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Bjoern Langbein
- Division of Urological Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Muhieddine Labban
- Division of Urological Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Stuart R Lipsitz
- Division of Urological Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Adam M Licurse
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Quoc-Dien Trinh
- Division of Urological Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Qian Z, Ye J, Friedlander DF, Koelker M, Labban M, Langbein B, Chen CCR, Preston MA, Clinton T, Mossanen M, Abdollah F, Lipsitz SR, Kibel AS, Trinh QD, Cole AP. Impact of COVID-19 pandemic on ambulatory urologic oncology surgeries. Can J Urol 2023; 30:11714-11723. [PMID: 38104328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
INTRODUCTION Robot-assisted laparoscopic prostatectomy (RALP) and transurethral resection of bladder tumor (TURBT) are two common surgeries for prostate and bladder cancer. We aim to assess the trends in the site of care for RALP and TURBT before and after the COVID outbreak. MATERIALS AND METHODS We identified adults who underwent RALP and TURBT within the California Healthcare Cost and Utilization Project State Inpatient Database and the State Ambulatory Surgery Database between 2018 and 2020. Multivariable analysis and spline analysis with a knot at COVID outbreak were performed to investigate the time trend and factors associated with ambulatory RALP and TURBT. RESULTS Among 17,386 RALPs, 6,774 (39.0%) were ambulatory. Among 25,070 TURBTs, 21,573 (86.0%) were ambulatory. Pre-COVID, 33.5% of RALP and 85.3% and TURBT were ambulatory, which increased to 53.8% and 88.0% post-COVID (both p < 0.001). In multivariable model, RALP and TURBT performed after outbreak in March 2020 were more likely ambulatory (OR 2.31, p < 0.0001; OR 1.25, p < 0.0001). There was an overall increasing trend in use of ambulatory RALP both pre- and post-COVID, with no significant change of trend at the time of outbreak (p = 0.642). TURBT exhibited an increased shift towards ambulatory sites post-COVID (p < 0.0001). CONCLUSIONS We found a shift towards ambulatory RALP and TURBT following COVID outbreak. There was a large increase in ambulatory RALP post-COVID, but the trend of change was not significantly different pre- and post-COVID - possibly due to a pre-existing trend towards ambulatory RALP which predated the pandemic.
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Affiliation(s)
- Zhiyu Qian
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Jamie Ye
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - David F Friedlander
- Department of Urology, University of North Carolina Medical Center, Chapel Hill, North Carolina, USA
| | - Mara Koelker
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Muhieddine Labban
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Bjoern Langbein
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Cheryl Chang-Rong Chen
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Mark A Preston
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Timothy Clinton
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Matthew Mossanen
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Firas Abdollah
- VCORE - Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, Michigan, USA
- Vattikuti Urology Institute, Henry Ford Hospital, Detroit, Michigan, USA
| | - Stuart R Lipsitz
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Adam S Kibel
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Quoc-Dien Trinh
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
| | - Alexander P Cole
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MAassachusetts, USA
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Labban M, Frego N, Qian Z, Koelker M, Langbein B, Chen CR, Stone B, Beatrici E, Filipas D, Reese S, Aliaj A, Cole A, Chang S, Preston M, Kibel A, Trinh QD. Trends and safety profile of same-day discharge for robot-assisted laparoscopic prostatectomy: A retrospective analysis of two tertiary centers in the northeastern United States. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)01150-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Giganti F, Cole AP, Fennessy FM, Clinton T, Moreira PLDF, Bernardes MC, Westin CF, Krishnaswamy D, Fedorov A, Wollin DA, Langbein B, Frego N, Labban M, Badaoui JS, Chang SL, Briggs LG, Tokuda J, Ambrosi A, Kirkham A, Emberton M, Kasivisvanathan V, Moore CM, Allen C, Tempany CM. Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship. Eur Radiol 2023; 33:461-471. [PMID: 35771247 PMCID: PMC9244244 DOI: 10.1007/s00330-022-08947-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/22/2022] [Accepted: 05/25/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVES The Prostate Imaging Quality (PI-QUAL) score is a new metric to evaluate the diagnostic quality of multiparametric magnetic resonance imaging (MRI) of the prostate. This study assesses the impact of an intervention, namely a prostate MRI quality training lecture, on the participant's ability to apply PI-QUAL. METHODS Sixteen participants (radiologists, urologists, physicists, and computer scientists) of varying experience in reviewing diagnostic prostate MRI all assessed the image quality of ten examinations from different vendors and machines. Then, they attended a dedicated lecture followed by a hands-on workshop on MRI quality assessment using the PI-QUAL score. Five scans assessed by the participants were evaluated in the workshop using the PI-QUAL score for teaching purposes. After the course, the same participants evaluated the image quality of a new set of ten scans applying the PI-QUAL score. Results were assessed using receiver operating characteristic analysis. The reference standard was the PI-QUAL score assessed by one of the developers of PI-QUAL. RESULTS There was a significant improvement in average area under the curve for the evaluation of image quality from baseline (0.59 [95 % confidence intervals: 0.50-0.66]) to post-teaching (0.96 [0.92-0.98]), an improvement of 0.37 [0.21-0.41] (p < 0.001). CONCLUSIONS A teaching course (dedicated lecture + hands-on workshop) on PI-QUAL significantly improved the application of this scoring system to assess the quality of prostate MRI examinations. KEY POINTS • A significant improvement in the application of PI-QUAL for the assessment of prostate MR image quality was observed after an educational intervention. • Appropriate training on image quality can be delivered to those involved in the acquisition and interpretation of prostate MRI. • Further investigation will be needed to understand the impact on improving the acquisition of high-quality diagnostic prostate MR examinations.
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Affiliation(s)
- Francesco Giganti
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK.
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., W1W 7TS, London, UK.
| | - Alexander P Cole
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Fiona M Fennessy
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Timothy Clinton
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Mariana Costa Bernardes
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Carl-Fredrik Westin
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Deepa Krishnaswamy
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andriy Fedorov
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel A Wollin
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Bjoern Langbein
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicola Frego
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Muhieddine Labban
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joy S Badaoui
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven L Chang
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Logan G Briggs
- Division of Urological Surgery, Centre for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Junichi Tokuda
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Alex Kirkham
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Mark Emberton
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., W1W 7TS, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Veeru Kasivisvanathan
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., W1W 7TS, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Caroline M Moore
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., W1W 7TS, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Clare Allen
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Clare M Tempany
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Labban M, Adib E, Langbein B, Chen X, Nguyen DD, Cole AP, Lipsitz SR, Sun M, Trinh QD. Risk and predictors of ipilimumab-associated cardiac adverse events among patients treated for melanoma: A national cohort analysis. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e14592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e14592 Background: Ipilimumab is a CTLA-4 inhibitor widely used to treat advanced melanoma. While ipilimumab-induced cardiac immune-related adverse events (irAE) have been reported, there is a paucity of data from large cohorts. We investigated the risk and predictors of ipilimumab-associated cardiac irAE in a national cohort of patients with cutaneous melanoma. Methods: Using SEER-Medicare linked data, we compared the risk of cardiac irAE between patients treated with ipilimumab with or without concomitant treatment for cutaneous melanoma and controls not treated with ipilimumab following a primary diagnosis of cutaneous melanoma. We excluded patients ≤65 years and patients with cardiac comorbidities diagnosed within one year prior to the initiation of melanoma treatment. The primary endpoint was the incidence of at least one cardiac irAE after ipilimumab initiation including acute pericarditis, myocarditis, cardiomyopathy, conduction disorders, cardiac dysthymias, acute heart failure, and takotsubo syndrome. To estimate the risk of cardiac irAE, we conducted a multivariable competing-risk analysis adjusting for death of any cause within one year of treatment as a competing event. Then, we constructed a stepwise logistic regression to assess the predictors of having at least one cardiac irAE within one year of ipilimumab initiation. Subgroup analysis was conducted among patients who received ipilimumab only. The models were adjusted for patient demographics, disease stage, Charlson comorbidity index (CCI), history of hypertension, autoimmune disease, end stage renal disease (ESRD), chronic anticoagulant, and steroid use. Results: The cohort included 715 patients treated with ipilimumab and 22,070 controls. In the ipilimumab arm, 23.4% had metastatic disease, 9.5% had a history of autoimmune disease, and 2.2% had CCI≥2. The incidence rates of cardiac irAE among patients who received ipilimumab and among the control group were 23.3 and 13.6 per 1,000 person-years, respectively. We found that patients who received ipilimumab had a higher risk of cardiac irAE compared to controls (adjusted hazard ratio 1.87; 95%CI 1.50-2.32; p < 0.001). In addition to ipilimumab treatment, other predictors of cardiac irAE included male gender, older age, patients with metastatic disease, history of autoimmune disease, hypertension, ESRD, anticoagulant use, and CCI≥2. The predictors of cardiac irAE were also consistent in the subgroup analysis of patients who received ipilimumab only. Conclusions: Patients who received ipilimumab with or without concomitant treatment for cutaneous melanoma had a higher risk for cardiac irAE. Predictors of cardiac irAE help tailor therapy according to patients’ risk profiles.
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Affiliation(s)
- Muhieddine Labban
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Bjoern Langbein
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Xi Chen
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - David-Dan Nguyen
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Alexander P Cole
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Stuart R. Lipsitz
- Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Maxine Sun
- Dana Farber Cancer Institute, Boston, MA
| | - Quoc-Dien Trinh
- Division of Urological Surgery and the Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Meyer A, Mehrtash A, Rak M, Bashkanov O, Langbein B, Ziaei A, Kibel AS, Tempany CM, Hansen C, Tokuda J. Domain adaptation for segmentation of critical structures for prostate cancer therapy. Sci Rep 2021; 11:11480. [PMID: 34075061 PMCID: PMC8169882 DOI: 10.1038/s41598-021-90294-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 05/04/2021] [Indexed: 11/23/2022] Open
Abstract
Preoperative assessment of the proximity of critical structures to the tumors is crucial in avoiding unnecessary damage during prostate cancer treatment. A patient-specific 3D anatomical model of those structures, namely the neurovascular bundles (NVB) and the external urethral sphincters (EUS), can enable physicians to perform such assessments intuitively. As a crucial step to generate a patient-specific anatomical model from preoperative MRI in a clinical routine, we propose a multi-class automatic segmentation based on an anisotropic convolutional network. Our specific challenge is to train the network model on a unique source dataset only available at a single clinical site and deploy it to another target site without sharing the original images or labels. As network models trained on data from a single source suffer from quality loss due to the domain shift, we propose a semi-supervised domain adaptation (DA) method to refine the model's performance in the target domain. Our DA method combines transfer learning and uncertainty guided self-learning based on deep ensembles. Experiments on the segmentation of the prostate, NVB, and EUS, show significant performance gain with the combination of those techniques compared to pure TL and the combination of TL with simple self-learning ([Formula: see text] for all structures using a Wilcoxon's signed-rank test). Results on a different task and data (Pancreas CT segmentation) demonstrate our method's generic application capabilities. Our method has the advantage that it does not require any further data from the source domain, unlike the majority of recent domain adaptation strategies. This makes our method suitable for clinical applications, where the sharing of patient data is restricted.
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Affiliation(s)
- Anneke Meyer
- Department of Simulation and Graphics and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany.
| | - Alireza Mehrtash
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marko Rak
- Department of Simulation and Graphics and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany
| | - Oleksii Bashkanov
- Department of Simulation and Graphics and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany
| | - Bjoern Langbein
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Alireza Ziaei
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Adam S Kibel
- Division of Urology, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Clare M Tempany
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Hansen
- Department of Simulation and Graphics and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany
| | - Junichi Tokuda
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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