OTO Open (Mar 2022)

Density of Health Workforce Correlates to Disease Outcomes: Evidence From Global Data in Otolaryngology

  • Gaelen Britton Stanford-Moore MD, MPhil,
  • Gabrielle Cahill MPH,
  • Ankit Raj MBBS,
  • Pacifique Irakoze MD,
  • Blake Alkire MD,
  • Mahmood F. Bhutta DPhil, FRCS

DOI
https://doi.org/10.1177/2473974X221089840
Journal volume & issue
Vol. 6

Abstract

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Objective To better understand the impact of the otolaryngology-specific workforce on the burden of related diseases. Study Design Retrospective analysis of existing workforce density data as compared with the incidence, mortality, and morbidity data for 4 otolaryngologic diseases. Setting An overall 138 countries with known otolaryngology–head and neck surgery workforce and epidemiologic data. Methods We obtained raw data on workforce estimates of ear, nose, and throat surgical specialists from the World Health Organization. Disease burdens for 4 conditions were estimated via 2 ratios, the mortality:incidence ratio (MIR) and YLD:incidence ratio (years lost to disability), as specified in the Global Burden of Disease database. These were correlated to country-specific otolaryngologist density data in univariate and multivariate analyses. Results Increased density of the ear, nose, and throat workforce correlated with better outcomes for otolaryngologic-treated surgical diseases. A 10% increase in otolaryngology workforce density was associated with a 0.27% reduction in YLD:incidence ratio for chronic otitis media, a 0.94% reduction in MIR for lip and oral cavity cancer, a 1.46% reduction in MIR for laryngeal cancer, and a 1.34% reduction in MIR for pharyngeal cancer (all P < .001)—an effect that remained after adjustment for health systems factors for all conditions but chronic otitis media. Conclusion The density of the surgical workforce is assumed to affect disease outcomes, but ours is the first analysis to show that increased workforce density for a specific surgical specialty correlates with improved disease outcomes. While there is a consensus to increase access to health care providers, quantifying the effect on disease outcomes is an important metric for those performing health economics modeling, particularly where resources are limited.