Use of patient-reported controls for secular trends to study disparities in cancer-related job loss Journal Article


Authors: Blinder, V. S.; Eberle, C. E.; Tran, C.; Bao, T.; Malik, M.; Jung, G.; Hwang, C.; Kampel, L.; Patil, S.; Gany, F. M.
Article Title: Use of patient-reported controls for secular trends to study disparities in cancer-related job loss
Abstract: Purpose: Racial/ethnic minorities experience greater job loss than whites during periods of economic downturn and after a cancer diagnosis. Therefore, race/ethnicity-matched controls are needed to distinguish the impact of illness on job loss from secular trends Methods: Surveys were administered during and 4-month post-completion of breast cancer treatment. Patients were pre-diagnosis employed women aged 18–64, undergoing treatment for stage I–III breast cancers, who spoke English, Chinese, Korean, or Spanish. Each patient was asked to: (1) nominate peers who were surveyed in a corresponding timeframe (active controls), (2) report a friend’s work status at baseline and follow-up (passive controls). Both types of controls were healthy, employed at baseline, and shared the nominating patient’s race/ethnicity, language, and age. The primary outcome was number of evaluable patient-control pairs by type of control. A patient-control pair was evaluable if work status at follow-up was reported for both individuals. Results: Of the 180 patients, 25% had evaluable active controls (45 patient-control pairs); 84% had evaluable passive controls (151 patient-control pairs). Although patients with controls differed from those without controls under each strategy, there was no difference in the percentage of controls who were working at follow-up (96% of active controls; 91% of passive controls). However, only 65% of patients were working at follow-up. Conclusions: The majority of patients had evaluable passive controls. There was no significant difference in outcome between controls ascertained through either method Implications for Cancer Survivors: Passive controls are a low-cost, higher-yield option to control for secular trends in racially/ethnically diverse samples. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Keywords: health economics; measurement; health services research; disparities; immigrant health
Journal Title: Journal of Cancer Survivorship
Volume: 15
Issue: 5
ISSN: 1932-2259
Publisher: Springer  
Date Published: 2021-10-01
Start Page: 685
End Page: 695
Language: English
DOI: 10.1007/s11764-020-00960-1
PROVIDER: scopus
PMCID: PMC8071836
PUBMED: 33106995
DOI/URL:
Notes: Article -- Export Date: 1 October 2021 -- Source: Scopus
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MSK Authors
  1. Sujata Patil
    511 Patil
  2. Lewis J Kampel
    19 Kampel
  3. Victoria Susana Blinder
    111 Blinder
  4. Francesca Mara Gany
    216 Gany
  5. Ting   Bao
    76 Bao
  6. Christina Tran
    15 Tran