Literature DB >> 25128055

Physician social networks and variation in rates of complications after radical prostatectomy.

Craig Evan Pollack1, Hao Wang2, Justin E Bekelman3, Gary Weissman4, Andrew J Epstein3, Kaijun Liao3, Eva H Dugoff3, Katrina Armstrong5.   

Abstract

OBJECTIVES: Variation in care within and across geographic areas remains poorly understood. The goal of this article was to examine whether physician social networks-as defined by shared patients-are associated with rates of complications after radical prostatectomy.
METHODS: In five cities, we constructed networks of physicians on the basis of their shared patients in 2004-2005 Surveillance, Epidemiology and End Results-Medicare data. From these networks, we identified subgroups of urologists who most frequently shared patients with one another. Among men with localized prostate cancer who underwent radical prostatectomy, we used multilevel analysis with generalized linear mixed-effect models to examine whether physician network structure-along with specific characteristics of the network subgroups-was associated with rates of 30-day and late urinary complications, and long-term incontinence after accounting for patient-level sociodemographic, clinical factors, and urologist patient volume.
RESULTS: Networks included 2677 men in five cities who underwent radical prostatectomy. The unadjusted rate of 30-day surgical complications varied across network subgroups from an 18.8 percentage-point difference in the rate of complications across network subgroups in city 1 to a 26.9 percentage-point difference in city 5. Large differences in unadjusted rates of late urinary complications and long-term incontinence across subgroups were similarly found. Network subgroup characteristics-average urologist centrality and patient racial composition-were significantly associated with rates of surgical complications.
CONCLUSIONS: Analysis of physician networks using Surveillance, Epidemiology and End Results-Medicare data provides insight into observed variation in rates of complications for localized prostate cancer. If validated, such approaches may be used to target future quality improvement interventions.
Copyright © 2014 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cancer; claims data; health services; outcomes research

Mesh:

Year:  2014        PMID: 25128055      PMCID: PMC4135395          DOI: 10.1016/j.jval.2014.04.011

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  38 in total

Review 1.  Network interventions.

Authors:  Thomas W Valente
Journal:  Science       Date:  2012-07-06       Impact factor: 47.728

2.  Physicians' experiences and beliefs regarding informal consultation.

Authors:  N L Keating; A M Zaslavsky; J Z Ayanian
Journal:  JAMA       Date:  1998-09-09       Impact factor: 56.272

3.  Patterns of referral among internists in private practice: a social exchange model.

Authors:  S M Shortell
Journal:  J Health Soc Behav       Date:  1973-12

4.  Hospital racial composition and the treatment of localized prostate cancer.

Authors:  Craig Evan Pollack; Justin E Bekelman; K J Liao; Katrina Armstrong
Journal:  Cancer       Date:  2011-06-20       Impact factor: 6.860

5.  Assigning ambulatory patients and their physicians to hospitals: a method for obtaining population-based provider performance measurements.

Authors:  Julie P W Bynum; Enrique Bernal-Delgado; Daniel Gottlieb; Elliott Fisher
Journal:  Health Serv Res       Date:  2007-02       Impact factor: 3.402

6.  Time trends and local variation in primary treatment of localized prostate cancer.

Authors:  Matthew R Cooperberg; Jeanette M Broering; Peter R Carroll
Journal:  J Clin Oncol       Date:  2010-02-01       Impact factor: 44.544

7.  Influence of NCI cancer center attendance on mortality in lung, breast, colorectal, and prostate cancer patients.

Authors:  Tracy Onega; Eric J Duell; Xun Shi; Eugene Demidenko; Daniel Gottlieb; David C Goodman
Journal:  Med Care Res Rev       Date:  2009-05-19       Impact factor: 3.929

8.  Disparities in health care are driven by where minority patients seek care: examination of the hospital quality alliance measures.

Authors:  Romana Hasnain-Wynia; David W Baker; David Nerenz; Joe Feinglass; Anne C Beal; Mary Beth Landrum; Raj Behal; Joel S Weissman
Journal:  Arch Intern Med       Date:  2007-06-25

9.  Comparative effectiveness of minimally invasive vs open radical prostatectomy.

Authors:  Jim C Hu; Xiangmei Gu; Stuart R Lipsitz; Michael J Barry; Anthony V D'Amico; Aaron C Weinberg; Nancy L Keating
Journal:  JAMA       Date:  2009-10-14       Impact factor: 56.272

10.  Care patterns in Medicare and their implications for pay for performance.

Authors:  Hoangmai H Pham; Deborah Schrag; Ann S O'Malley; Beny Wu; Peter B Bach
Journal:  N Engl J Med       Date:  2007-03-15       Impact factor: 91.245

View more
  25 in total

1.  Association Between Physician Teamwork and Health System Outcomes After Coronary Artery Bypass Grafting.

Authors:  John M Hollingsworth; Russell J Funk; Spencer A Garrison; Jason Owen-Smith; Samuel A Kaufman; Francis D Pagani; Brahmajee K Nallamothu
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-11-08

2.  Physician's peer exposure and the adoption of a new cancer treatment modality.

Authors:  Craig Evan Pollack; Pamela R Soulos; Cary P Gross
Journal:  Cancer       Date:  2015-04-22       Impact factor: 6.860

3.  Behavioral Health's Integration Within a Care Network and Health Care Utilization.

Authors:  Chandler McClellan; Thomas J Flottemesch; Mir M Ali; Jenna Jones; Ryan Mutter; Andriana Hohlbauch; Daniel Whalen; Nils Nordstrom
Journal:  Health Serv Res       Date:  2018-05-30       Impact factor: 3.402

4.  Properties of healthcare teaming networks as a function of network construction algorithms.

Authors:  Martin S Zand; Melissa Trayhan; Samir A Farooq; Christopher Fucile; Gourab Ghoshal; Robert J White; Caroline M Quill; Alexander Rosenberg; Hugo Serrano Barbosa; Kristen Bush; Hassan Chafi; Timothy Boudreau
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

5.  Use of Medicare Data to Identify Team-based Primary Care: Is it Possible?

Authors:  Yong-Fang Kuo; Mukaila A Raji; Yu-Li Lin; Margaret E Ottenbacher; Daniel Jupiter; James S Goodwin
Journal:  Med Care       Date:  2019-11       Impact factor: 2.983

6.  Repeated, Close Physician Coronary Artery Bypass Grafting Teams Associated with Greater Teamwork.

Authors:  Jordan Everson; Russell J Funk; Samuel R Kaufman; Jason Owen-Smith; Brahmajee K Nallamothu; Francis D Pagani; John M Hollingsworth
Journal:  Health Serv Res       Date:  2017-05-04       Impact factor: 3.402

7.  Creating a National Provider Identifier (NPI) to Unique Physician Identification Number (UPIN) Crosswalk for Medicare Data.

Authors:  Helen M Parsons; Lindsey R Enewold; Robert Banks; Michael J Barrett; Joan L Warren
Journal:  Med Care       Date:  2017-12       Impact factor: 2.983

8.  Receipt of Promotional Payments at the Individual and Physician Network Level Associated with Higher Branded Antipsychotic Prescribing Rates.

Authors:  Simon Hollands
Journal:  Adm Policy Ment Health       Date:  2020-01

9.  The Impact of Social Contagion on Physician Adoption of Advanced Imaging Tests in Breast Cancer.

Authors:  Craig E Pollack; Pamela R Soulos; Jeph Herrin; Xiao Xu; Nicholas A Christakis; Howard P Forman; James B Yu; Brigid K Killelea; Shi-Yi Wang; Cary P Gross
Journal:  J Natl Cancer Inst       Date:  2017-08-01       Impact factor: 13.506

10.  Comparison of Comorbidity Scores in Predicting Surgical Outcomes.

Authors:  Hemalkumar B Mehta; Francesca Dimou; Deepak Adhikari; Nina P Tamirisa; Eric Sieloff; Taylor P Williams; Yong-Fang Kuo; Taylor S Riall
Journal:  Med Care       Date:  2016-02       Impact factor: 2.983

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.