Configurations associated with the efficiency of the ophthalmology departments in public hospitals of Central South China
2024

Efficiency of Ophthalmology Departments in Central South China

Sample size: 195 publication 10 minutes Evidence: moderate

Author Information

Author(s): Li Yimeng, Chen Yao, Ma Bosheng, Chen Jyu-lin, Zhong Jie, Jiang Yan, Luo Jing, Guo Jia

Primary Institution: Central South University

Hypothesis

This study aimed to examine the efficiency of ophthalmology departments in Hunan Province, China, and determine the associating factors of low-efficiency and high-efficiency ophthalmology departments.

Conclusion

Moderate efficiency levels in ophthalmology departments at both tertiary and secondary hospitals were found, with recommendations to prioritize the number of ophthalmologists and equipment for high efficiency.

Supporting Evidence

  • The mean efficiency score was 0.78 for ophthalmology departments in tertiary hospitals and 0.82 for secondary hospitals.
  • The number of ophthalmologists and equipment positively contributed to the efficiency of ophthalmology departments.
  • Increasing the bed capacity was not always beneficial to improving efficiency in secondary hospitals.
  • Simply increasing the number of nurses did not universally increase efficiency unless there were enough ophthalmologists and equipment.

Takeaway

This study looked at how well eye hospitals in China are doing and found that having more eye doctors and equipment helps them work better.

Methodology

A cross-sectional survey was conducted online among ophthalmology departments in public hospitals in Hunan Province, using Bootstrap Data Envelopment Analysis and Fuzzy Set-Qualitative Comparative Analysis.

Limitations

The study only selected variables that theoretically most influenced efficiency, and the efficiency scores are specific to public hospitals in Hunan Province, limiting generalizability.

Participant Demographics

Ophthalmology departments from 87 tertiary and 108 secondary public hospitals in Hunan Province.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0315218

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