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Latent profile analysis of return-to-work readiness and self-efficacy among breast cancer survivors who have not returned to work post-surgery

Year: 2025
Type: article
Study design: Observational Study
Abstract: PURPOSE: To identify latent subgroups of return-to-work readiness (RRTW) and self-efficacy (RTW-SE) in postoperative patients with breast cancer who had not resumed employment and to examine predictors of subgroup membership. METHODS: Using convenience sampling, 323 postoperative patients with breast cancer who had not returned to work were recruited from a tertiary hospital in Sichuan Province, China. Latent profile analysis was conducted to examine heterogeneity in RRTW and RTW-SE scores. RESULTS: Two subgroups were identified: a low readiness/low self-efficacy group (33.1%) and a high readiness/high self-efficacy group (66.9%). Scores on all RRTW dimensions, except pre-contemplation and RTW-SE, were higher in the high readiness group than in the low readiness group. Logistic regression showed that having a bachelor's or higher degree (odds ratio [OR] = 4.959), return-to-work intention (OR = 5.545), and not cohabitating with a spouse (OR = 2.305) were significantly associated with subgroup membership. CONCLUSIONS: Our findings highlight the need for stratified interventions, such as cognitive support, enhanced social resources, and personalized rehabilitation, to help patients transition from the "patient role" to the "occupational role." IMPLICATIONS FOR CANCER SURVIVORS: Tailored return-to-work support is needed for breast cancer survivors. Interventions should address individual differences in readiness and self-efficacy through cognitive-behavioral strategies, targeted counseling, and strengthened social support. Collaborative efforts between healthcare providers and employers are essential to develop personalized plans that bridge the gap between recovery, intention, and sustainable workforce reintegration.
Authors: Qiu Huo, Yunxia Pu, Huizhuo Deng, Shiqi Li, Xianqiong Feng
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $4,790
OpenAlex ID: W4416914165
FWCI: 0.72
Cites: 40
Cited by: 2
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