Validation of Lam assessment of employment readiness (C-LASER) for Chinese injured workers

Henky Chan, Wai Ping Cecilia Tsang, Che Hin Chan, Chow Shing Lam, Karen Lo Hui, Christine Bard

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


Introduction: The Stage-of-Change Model offers a theoretical framework for understanding people's intention to change. The Lam Assessment of Stages of Employment Readiness (LASER) was developed to measure one's psychological readiness to return to work after an extended period of unemployment due to disability. Method: The present study aimed to validate the Chinese version of LASER using a sample of Chinese industrial injured workers. Ninety subjects with previous history of work-related injuries participated in the study. Results: Principal component analysis revealed a two-factor solution which was found different from the original three-factor structure of LASER. Test retest reliability (ICC) ranged from 0.55 to 0.79. Findings suggested that human capital factors of the workers did not seem to contribute significantly to the participants' readiness to return-to-work. Instead, the perceived pain levels became the major contributing factor. Discussion: The Chinese version LASER was useful for reflecting the readiness of injured workers returning to work. However, the pathology associated with the injuries together with the workers' compensation system might influence the process of change which warrants further study area.
Original languageEnglish
Pages (from-to)697-705
Number of pages9
JournalJournal of Occupational Rehabilitation
Issue number4
Publication statusPublished - 1 Dec 2006


  • Injured workers
  • Return to work
  • Stages of Changes model on employment readiness
  • Vocational rehabilitation

ASJC Scopus subject areas

  • Rehabilitation
  • Occupational Therapy


Dive into the research topics of 'Validation of Lam assessment of employment readiness (C-LASER) for Chinese injured workers'. Together they form a unique fingerprint.

Cite this