Prevalence and characteristics of cancer patients receiving care from single vs. multiple institutions

被引:17
作者
Clarke, Christina A. [1 ,2 ]
Glaser, Sally L. [1 ,2 ]
Leung, Rita [1 ]
Davidson-Allen, Kathleen [1 ]
Gomez, Scarlett L. [1 ,2 ]
Keegan, Theresa H. M. [3 ]
机构
[1] Canc Prevent Inst Calif, 2201 Walnut Ave,Suite 300, Fremont, CA 94538 USA
[2] Stanford Univ, Sch Med, Dept Hlth Res & Policy Epidemiol, Stanford, CA 94305 USA
[3] Univ Calif Davis, Sch Med, Div Hematol & Oncol, Dept Internal Med, Sacramento, CA 95817 USA
关键词
HEALTH RECORD DATA; UNITED-STATES; FRAGMENTATION;
D O I
10.1016/j.canep.2016.11.001
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Patients may receive cancer care from multiple institutions. However, at the population level, such patterns of cancer care are poorly described, complicating clinical research. To determine the population-based prevalence and characteristics of patients seen by multiple institutions, we used operations data from a state-mandated cancer registry. Methods and materials: 59,672 invasive cancers diagnosed in 1/1/2010-12/31/2011 in the Greater Bay Area of northern California were categorized as having been reported to the cancer registry within 365 days of diagnosis by: 1) >= 1 institution within an integrated health system (IHS); 2) IHS institution(s) and >= 1 nonIHS institution (e.g., private hospital); 3) 1 non-IHS institution; or 4) >= 2 non-IHS institutions. Multivariable logistic regression was used to characterize patients reported by multiple vs. single institutions. Results: Overall in this region, 17% of cancers were reported by multiple institutions. Of the 33% reported by an IHS, 8% were also reported by a non-IHS. Of non-IHS patients, 21% were reported by multiple institutions, with 28% for breast and 27% for pancreatic cancer, but 19%% for lung and 18% for prostate cancer. Generally, patients more likely to be seen by multiple institutions were younger or had more severe disease at diagnosis. Conclusions: Population-based data show that one in six newly diagnosed cancer patients received care from multiple institutions, and differed from patients seen only at a single institution. Cancer care data from single institutions may be incomplete and possibly biased. (C) 2016 Published by Elsevier Ltd.
引用
收藏
页码:27 / 33
页数:7
相关论文
共 14 条
[1]   Rapid-Learning System for Cancer Care [J].
Abernethy, Amy P. ;
Etheredge, Lynn M. ;
Ganz, Patricia A. ;
Wallace, Paul ;
German, Robert R. ;
Neti, Chalapathy ;
Bach, Peter B. ;
Murphy, Sharon B. .
JOURNAL OF CLINICAL ONCOLOGY, 2010, 28 (27) :4268-4274
[2]   Challenges in Using Electronic Health Record Data for CER Experience of 4 Learning Organizations and Solutions Applied [J].
Bayley, K. Bruce ;
Belnap, Tom ;
Savitz, Lucy ;
Masica, Andrew L. ;
Shah, Nilay ;
Fleming, Neil S. .
MEDICAL CARE, 2013, 51 (08) :S80-S86
[3]   HEALTH CARE REFORM Patients Treated at Multiple Acute Health Care Facilities Quantifying Information Fragmentation [J].
Bourgeois, Fabienne C. ;
Olson, Karen L. ;
Mandl, Kenneth D. .
ARCHIVES OF INTERNAL MEDICINE, 2010, 170 (22) :1989-1995
[4]  
California Cancer Registry, 2010, CAL CANC REP SYST ST, VIII
[5]   Achieving a Nationwide Learning Health System [J].
Friedman, Charles P. ;
Wong, Adam K. ;
Blumenthal, David .
SCIENCE TRANSLATIONAL MEDICINE, 2010, 2 (57)
[6]   Academic Medical Centers: Ripe for Rapid-Learning Personalized Health Care [J].
Ginsburg, Geoffrey S. ;
Staples, Judd ;
Abernethy, Amy P. .
SCIENCE TRANSLATIONAL MEDICINE, 2011, 3 (101)
[7]   Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research [J].
Hersh, William R. ;
Weiner, Mark G. ;
Embi, Peter J. ;
Logan, Judith R. ;
Payne, Philip R. O. ;
Bernstam, Elmer V. ;
Lehmann, Harold P. ;
Hripcsak, George ;
Hartzog, Timothy H. ;
Cimino, James J. ;
Saltz, Joel H. .
MEDICAL CARE, 2013, 51 (08) :S30-S37
[8]   Fragmentation in specialist care and stage III colon cancer [J].
Hussain, Tanvir ;
Chang, Hsien-Yen ;
Veenstra, Christine M. ;
Pollack, Craig Evan .
CANCER, 2015, 121 (18) :3316-3324
[9]   Breast Cancer Treatment Across Health Care Systems Linking Electronic Medical Records and State Registry Data to Enable Outcomes Research [J].
Kurian, Allison W. ;
Mitani, Aya ;
Desai, Manisha ;
Yu, Peter P. ;
Seto, Tina ;
Weber, Susan C. ;
Olson, Cliff ;
Kenkare, Pragati ;
Gomez, Scarlett L. ;
de Bruin, Monique A. ;
Horst, Kathleen ;
Belkora, Jeffrey ;
May, Suepattra G. ;
Frosch, Dominick L. ;
Blayney, Douglas W. ;
Luft, Harold S. ;
Das, Amar K. .
CANCER, 2014, 120 (01) :103-111
[10]   Importance of Health Information Technology, Electronic Health Records, and Continuously Aggregating Data to Comparative Effectiveness Research and Learning Health Care [J].
Miriovsky, Benjamin J. ;
Shulman, Lawrence N. ;
Abernethy, Amy P. .
JOURNAL OF CLINICAL ONCOLOGY, 2012, 30 (34) :4243-4248