Literature DB >> 33729186

Applying Latent Class Analysis on Cancer Registry Data to Identify and Compare Health Disparity Profiles in Colorectal Cancer Surgical Treatment Delay.

Francisco A Montiel Ishino1, Emmanuel A Odame, Kevin Villalobos, Martin Whiteside, Hadii Mamudu, Faustine Williams.   

Abstract

CONTEXT: Colorectal cancer (CRC) surgical treatment delay (TD) has been associated with mortality and morbidity; however, disparities by TD profiles are unknown.
OBJECTIVES: This study aimed to identify CRC patient profiles of surgical TD while accounting for differences in sociodemographic, health insurance, and geographic characteristics.
DESIGN: We used latent class analysis (LCA) on 2005-2015 Tennessee Cancer Registry data of CRC patients and observed indicators that included sex/gender, age at diagnosis, marital status (single/married/divorced/widowed), race (White/Black/other), health insurance type, and geographic residence (non-Appalachian/Appalachian).
SETTING: The state of Tennessee in the United States that included both Appalachian and non-Appalachian counties. PARTICIPANTS: Adult (18 years or older) CRC patients (N = 35 412) who were diagnosed and surgically treated for in situ (n = 1286) and malignant CRC (n = 34 126). MAIN OUTCOME MEASURE: The distal outcome of TD was categorized as 30 days or less and more than 30 days from diagnosis to surgical treatment.
RESULTS: Our LCA identified a 4-class solution and a 3-class solution for in situ and malignant profiles, respectively. The highest in situ CRC patient risk profile was female, White, aged 75 to 84 years, widowed, and used public health insurance when compared with respective profiles. The highest malignant CRC patient risk profile was male, Black, both single/never married and divorced/separated, resided in non-Appalachian county, and used public health insurance when compared with respective profiles. The highest risk profiles of in situ and malignant patients had a TD likelihood of 19.3% and 29.4%, respectively.
CONCLUSIONS: While our findings are not meant for diagnostic purposes, we found that Blacks had lower TD with in situ CRC. The opposite was found in the malignant profiles where Blacks had the highest TD. Although TD is not a definitive marker of survival, we observed that non-Appalachian underserved/underrepresented groups were overrepresented in the highest TD profiles. The observed disparities could be indicative of intervenable risk.

Entities:  

Mesh:

Year:  2022        PMID: 33729186      PMCID: PMC8435045          DOI: 10.1097/PHH.0000000000001341

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  44 in total

1.  Racial and Ethnic Disparities in Cancer Survival: The Contribution of Tumor, Sociodemographic, Institutional, and Neighborhood Characteristics.

Authors:  Libby Ellis; Alison J Canchola; David Spiegel; Uri Ladabaum; Robert Haile; Scarlett Lin Gomez
Journal:  J Clin Oncol       Date:  2017-10-16       Impact factor: 44.544

2.  Racial differences in tumor stage and survival for colorectal cancer in an insured population.

Authors:  Chyke A Doubeni; Terry S Field; Diana S M Buist; Eli J Korner; Carol Bigelow; Lois Lamerato; Lisa Herrinton; Virginia P Quinn; Gene Hart; Mark C Hornbrook; Jerry H Gurwitz; Edward H Wagner
Journal:  Cancer       Date:  2007-02-01       Impact factor: 6.860

3.  Differences in late-stage diagnosis, treatment, and colorectal cancer-related death between rural and urban African Americans and whites in Georgia.

Authors:  Robert B Hines; Talar W Markossian
Journal:  J Rural Health       Date:  2011-08-24       Impact factor: 4.333

4.  Cancer survival among US whites and minorities: a SEER (Surveillance, Epidemiology, and End Results) Program population-based study.

Authors:  Limin X Clegg; Frederick P Li; Benjamin F Hankey; Kenneth Chu; Brenda K Edwards
Journal:  Arch Intern Med       Date:  2002-09-23

5.  Cancer in Appalachia, 2001-2003.

Authors:  Phyllis A Wingo; Thomas C Tucker; Patricia M Jamison; Howard Martin; Colleen McLaughlin; Rana Bayakly; Susan Bolick-Aldrich; Pat Colsher; Robert Indian; Karen Knight; Stacey Neloms; Reda Wilson; Thomas B Richards
Journal:  Cancer       Date:  2008-01-01       Impact factor: 6.860

6.  Impact of socioeconomic status on survival of colorectal cancer patients.

Authors:  Qian Zhang; Yufu Wang; Hanqing Hu; Rui Huang; Lei Xie; Enrui Liu; Ying-Gang Chen; Guiyu Wang; Xishan Wang
Journal:  Oncotarget       Date:  2017-09-13

7.  Social isolation and cancer management - advanced rectal cancer with patient delay following the 2011 triple disaster in Fukushima, Japan: a case report.

Authors:  Akihiko Ozaki; Claire Leppold; Toyoaki Sawano; Masaharu Tsubokura; Manabu Tsukada; Tetsuya Tanimoto; Masahiro Kami; Hiromichi Ohira
Journal:  J Med Case Rep       Date:  2017-05-16

8.  Socioeconomic and Racial/Ethnic Disparities in Cancer Mortality, Incidence, and Survival in the United States, 1950-2014: Over Six Decades of Changing Patterns and Widening Inequalities.

Authors:  Gopal K Singh; Ahmedin Jemal
Journal:  J Environ Public Health       Date:  2017-03-20

9.  Racial/ethnic disparities in colorectal cancer treatment utilization and phase-specific costs, 2000-2014.

Authors:  Angela C Tramontano; Yufan Chen; Tina R Watson; Andrew Eckel; Chin Hur; Chung Yin Kong
Journal:  PLoS One       Date:  2020-04-14       Impact factor: 3.240

10.  The impact of delayed commencement of adjuvant chemotherapy (eight or more weeks) on survival in stage II and III colon cancer: a national population-based cohort study.

Authors:  Young Wan Kim; Eun Hee Choi; Bo Ra Kim; Woo-Ah Ko; Yeong-Mee Do; Ik Yong Kim
Journal:  Oncotarget       Date:  2017-05-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.