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1.
J Gen Intern Med ; 38(11): 2501-2510, 2023 08.
Artículo en Inglés | MEDLINE | ID: mdl-36952081

RESUMEN

BACKGROUND: Geographic variation in high-cost medical procedure utilization in the USA is not fully explained by patient factors but may be influenced by the supply of procedural physicians and marketing payments. OBJECTIVE: To examine the association between physician supply, medical device-related marketing payments to physicians, and utilization of knee arthroplasty (KA) and percutaneous coronary interventions (PCI) within hospital referral regions (HRRs). DESIGN: Cross-sectional analysis of data from the 2018 CMS Open Payments database and procedural utilization data from the CMS Provider Utilization and Payment database. PARTICIPANTS: Medicare-participating procedural cardiologists and orthopedic surgeons. MAIN MEASURES: Regional rates of PCIs and KAs per 100,000 Medicare fee-for-service (FFS) beneficiaries were estimated after adjustment for beneficiary demographics. KEY RESULTS: Across 306 HRRs, there were 109,301 payments (value $17,554,728) to cardiologists for cardiac stents and 68,132 payments (value $40,492,126) to orthopedic surgeons for prosthetic knees. Among HRRs, one additional interventional cardiologist was associated with an increase of 12.9 (CI, 9.3-16.5) PCIs per 100,000 beneficiaries, and one additional orthopedic surgeon was associated with an increase of 20.6 (CI, 16.9-24.4) KAs per 100,000 beneficiaries. A $10,000 increase in gift payments from stent manufacturers was associated with an increase of 26.0 (CI, 5.1-46.9) PCIs per 100,000 beneficiaries, while total and service payments were not associated with greater regional PCI utilization. A $10,000 increase in total payments from knee prosthetic manufacturers was associated with an increase of 2.9 (CI, 1.4-4.5) KAs per 100,000 beneficiaries, while a similar increase in gift and service payments was associated with an increase of 14.5 (CI, 5.0-24.1) and 3.4 (CI, 1.6-5.2) KAs, respectively. CONCLUSIONS: Among Medicare FFS beneficiaries, regional supply of physicians and receipt of industry payments were associated with greater use of PCIs and KAs. Relationships between payments and procedural utilization were more consistent for KAs, a largely elective procedure, compared to PCIs, which may be elective or emergent.


Asunto(s)
Intervención Coronaria Percutánea , Médicos , Anciano , Humanos , Estados Unidos , Medicare , Estudios Transversales , Planes de Aranceles por Servicios
2.
Surgery ; 172(4): 1278-1284, 2022 10.
Artículo en Inglés | MEDLINE | ID: mdl-35864051

RESUMEN

BACKGROUND: We sought to characterize if prehospital transfer origin from the scene of injury (SCENE) or from a referral emergency department (REF) alters the survival benefit attributable to prehospital plasma resuscitation in patients at risk of hemorrhagic shock. METHODS: We performed a secondary analysis of data from a recently completed prehospital plasma clinical trial. All of the enrolled patients from either the SCENE or REF groups were included. The demographics, injury characteristics, shock severity and resuscitation needs were compared. The primary outcome was a 30-day mortality. Kaplan-Meier analysis and Cox-hazard regression were used to characterize the independent survival benefits of prehospital plasma for transport origin groups. RESULTS: Of the 501 enrolled patients, the REF group patients (n = 111) accounted for 22% with the remaining (n = 390) originating from the scene. The SCENE group patients had higher injury severity and were more likely intubated prehospital. The REF group patients had longer prehospital times and received greater prehospital crystalloid and blood products. Kaplan-Meier analysis revealed a significant 30-day survival benefit associated with prehospital plasma in the SCENE group (P < .01) with no difference found in the REF group patients (P = .36). The Cox-regression verified after controlling for relevant confounders that prehospital plasma was independently associated with a 30-day survival in the SCENE group patients (hazard ratio 0.59; 95% confidence interval 0.39-0.89; P = .01) with no significant relationship found in the REF group patients (hazard ratio 1.03, 95% confidence interval 0.4-3.0). CONCLUSION: Important differences across the SCENE and REF cohorts exist that are essential to understand when planning prehospital studies. Prehospital plasma is associated with a survival benefit primarily in SCENE group patients. The results are exploratory but suggest transfer origin may be an important determinant of prehospital plasma benefit.


Asunto(s)
Servicios Médicos de Urgencia , Choque Hemorrágico , Heridas y Lesiones , Soluciones Cristaloides , Humanos , Puntaje de Gravedad del Traumatismo , Plasma , Resucitación/métodos , Heridas y Lesiones/terapia
3.
Ann Vasc Surg ; 44: 190-196, 2017 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-28546046

RESUMEN

BACKGROUND: Currently, the risk of abdominal aortic aneurysm (AAA) rupture is determined using the maximum diameter (Dmax) of the aorta. We sought in this study to identify a set of computed tomography (CT)-based geometric parameters that would better predict the risk of rupture than Dmax. METHODS: We obtained CT scans from 180 patients (90 ruptured AAA and 90 elective AAA repair) and then used automated software to calculate 1- , 2- , and 3-dimensional geometric parameters for each AAA. Linear regression was used to identify univariate correlates of membership in the rupture group. We then used stepwise backward elimination to generate a logistic regression model for prediction of rupture. RESULTS: Linear regression identified 40 correlates of rupture. Following stepwise backward elimination, we developed a multivariate logistic regression model containing 15 geometric parameters, including Dmax. This model was compared with a model containing Dmax alone. The multivariate model correctly classified 98% of all cases, whereas the Dmax-only model correctly classified 72% of cases. Receiver operating characteristic analysis showed that the multivariate model had an area under the curve of 0.995, as compared with 0.770 for the Dmax-only model. This difference was highly significant (P < 0.0001). CONCLUSIONS: This study demonstrates that a multivariable model using geometric factors entirely measurable from CT scanning can be a better predictor of AAA rupture than maximum diameter alone.


Asunto(s)
Aneurisma de la Aorta Abdominal/complicaciones , Aneurisma de la Aorta Abdominal/diagnóstico por imagen , Rotura de la Aorta/etiología , Aortografía/métodos , Angiografía por Tomografía Computarizada , Modelos Cardiovasculares , Modelación Específica para el Paciente , Área Bajo la Curva , Chicago , Humanos , Modelos Lineales , Modelos Logísticos , Análisis Multivariante , Pennsylvania , Valor Predictivo de las Pruebas , Curva ROC , Interpretación de Imagen Radiográfica Asistida por Computador , Estudios Retrospectivos , Medición de Riesgo , Factores de Riesgo , Programas Informáticos
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