BMJ Open (Sep 2022)

Contribution of insurance status to the association between marital status and cancer-specific survival: a mediation analysis

  • Wei Chen,
  • Qing Liu,
  • Li Lin,
  • Ying Sun,
  • Kai-bin Yang,
  • Yuan-Zhe Zhang,
  • Zi-Hang Chen,
  • Chen-Fei Wu,
  • Wei-Hong Zheng,
  • Jia Kou,
  • Jin-wei Chen,
  • Si-fan Qi

DOI
https://doi.org/10.1136/bmjopen-2021-060149
Journal volume & issue
Vol. 12, no. 9

Abstract

Read online

Objectives To evaluate the extent to which marriage influences cancer-specific survival (CSS) by influencing the insurance status among patients with common solid cancers and the feasibility of reducing the survival gap caused by marriage by increasing private insurance coverage for unmarried patients.Setting A retrospective cohort study with patients retrieved from the Surveillance, Epidemiology and End Results programme.Participants Patients with nine common solid cancers diagnosed between 2007 and 2016 were included. Patients were excluded if their marital status, insurance status, socioeconomical status, stage or cause of death was unavailable, if survival time was less than 1 month, or if they were younger than 18 years at the time of diagnosis.Primary and secondary outcome measures The primary outcome was CSS, which was compared between married and unmarried individuals. Mediation analyses were conducted to determine the contribution of insurance status to the association between marriage and CSS.Results Married patients had better CSS than those unmarried (time ratio 1.778; 95% CI 1.758 to 1.797). Private health insurance was a key factor mediating the association between marital status and CSS (proportion mediated (PM), 17%; 95% CI 17% to 17.1%). The PM ranges from 10.7% in prostate cancer to 20% in kidney cancer. The contribution of private insurance to the association between marital status and CSS was greater among women than among men (PM 18.5% vs 16.7%). The mediating effect of private insurance was the greatest for the comparison between married and separated individuals (PM 25.6%; 95% CI 25.3% to 25.8%) and smallest for the comparison between married and widowed individuals (PM 11.0%; 95% CI 10.9% to 11.1%).Conclusions 17% of the marital disparities in CSS are mediated by private insurance coverage. Increasing private insurance coverage for unmarried patients may reduce the survival gap related to marital status and sex. However, it is unclear whether better publicly funded insurance would have the same effect.