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Examination of potential sources of bias in the US Coal Workers' Health Surveillance Program

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  • Scott Laney, A.
  • Attfield, M.D.

Abstract

Objectives: We examined the potential influences of certain selection factors on the utility of the Coal Workers' Health Surveillance Program (CWHSP) data for tracking disease distribution and trends. Methods: We combined data from the CWHSP and the Energy Information Administration to examine any influence of variable worker participation on observed disease prevalence. We evaluated effects of differential participation by coal mining region, temporal changes in employment, and active surveillance efforts. Results: The published findings of pneumoconiosis distribution and trends from the CWHSP were robust compared with the various participation factors that might have affected their validity for population-based estimates of disease burden. Exploration of factors that could potentially bias the findings generally led to small increases in the primary estimates, mostly for the early years of the program. Conclusions: We confirmed previously reported findings that there was a high prevalence of coal worker pneumoconiosis (CWP) around 1970-1974, a substantial decline in 1995-1999, and indications of an increase since then. Overall our findings suggest that the previously reported distribution and trends in CWP prevalence were broadly accurate.

Suggested Citation

  • Scott Laney, A. & Attfield, M.D., 2014. "Examination of potential sources of bias in the US Coal Workers' Health Surveillance Program," American Journal of Public Health, American Public Health Association, vol. 104(1), pages 165-170.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2012.301051_5
    DOI: 10.2105/AJPH.2012.301051
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    Cited by:

    1. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2018. "Coal miners’ livelihood vulnerability to economic shock: Multi-criteria assessment and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 301-314.
    2. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2020. "Understanding coal miners’ livelihood vulnerability to declining coal demand: Negative impact and coping strategies," Energy Policy, Elsevier, vol. 138(C).
    3. Rachel Sellaro & Emily Sarver & Daniel Baxter, 2015. "A Standard Characterization Methodology for Respirable Coal Mine Dust Using SEM-EDX," Resources, MDPI, vol. 4(4), pages 1-19, December.
    4. Bing Han & Hongbo Liu & Guojiang Zhai & Qun Wang & Jie Liang & Mengcang Zhang & Kai Cui & Fuhai Shen & Hongbo Yi & Yuting Li & Yuhan Zhai & Yang Sheng & Jie Chen, 2016. "Estimates and Predictions of Coal Workers’ Pneumoconiosis Cases among Redeployed Coal Workers of the Fuxin Mining Industry Group in China: A Historical Cohort Study," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-10, February.

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