Abstract Introduction: Hospitals are under continuous pressure to improve operational efficiency while maintaining service quality. Key hospital metrics—bed occupancy rate (BOR), bed turnover rate (BTR), and average length of stay (ALOS)—are widely used to measure efficiency. Accreditation is considered to improve quality, but its impact on hospital efficiency remains underexplored. This study aims at analyzing hospital metrics of a tertiary care hospital over 19 years using Pabon Lasso model and attempts to statistically prove impact of accreditation on hospital efficiency. Methods: A retrospective longitudinal study was conducted using data from 2005–2006 to 2023–2024. BOR, BTR, and ALOS were calculated. Accreditation timeline of the hospital was mapped. The Pabon Lasso model was used to visually assess trends in efficiency. Welch’s t-test was used to statistically check the impact of accreditation on hospital metrics between pre- and post-accreditation data. Results: The study found marked improvement in BOR and BTR over the 19 years, with the lowest ALOS recorded in the most recent year. The hospital shifted from Zone I (low BOR and BTR) in early years to Zone III (high BOR and BTR) in postaccreditation years, except during the COVID-19 period. Welch’s t-test showed statistically significant improvement in BOR and BTR postaccreditation. Conclusion: The study concludes that National Accreditation Board for Hospitals and Healthcare Providers quality accreditation has significant positive impact on hospital efficiency. This study offers statistically verified support for accreditation as a tool that not only enhances quality but also operational performance.
Mehta et al. (Tue,) studied this question.