Table 3

Factors influencing cataract surgery productivity in 2010
Factor Surgeons N = 17 Mean surgery (SD) P value*
Demographic
Age in years
< 35 9 236.4 (263.9) 0.1
≥ 35 8 527.9 (420.0)
Sex
Female 6 197.5 (235.3) 0.2
Male 11 469.6 (398.4)
Training duration (years)
≤ 3 11 205.3 (259.2)
4 6 682.2 (345.5) 0.009
Number of surgeries during training
< 80 7 115.6 (212.7) 0.02
80 – 100 4 478.3 (479.5)
>100 6 604.8 (268.2)
Years worked as a surgeon
< 2 5 170.8 (255.6) 0.04
2 - 4 8 257 (249.1)
4 - 6 1 562 (0)
> 6 3 958 (203.3)
Eye unit type
Government eye unit 14 251.1 (257.4) 0.01
Private/ NGO 3 945.0 (224.6)
Working location
Rural 4 42.8 (51.2) 0.02
Urban 13 475.4 (361.8)
Cataract sets
≤ 3 5 356.4 (411.4) 0.8
≥ 4 12 380.8 (365.9)
Operating microscope
1 7 270.3 (368.0) 0.2
>1 10 445.9 (367.0)
Nursing staff
≤ 3 6 229.4 (385.1) 0.1
≥ 4 11 452.4 (348.8)
Project manager
No 5 75 (84.6) 0.03
Yes 12 492 (368.2)
Performing outreach
No 12 267.9 (356.4) 0.04
Yes 5 627.2 (273.5)
Community based screening
No 15 301.1 (314.5) 0.05
Yes 2 917.5 (310.4)
Satisfied by the work environment
No 7 159.6 (204.1) 0.03
Yes 10 523.4 (388.3)
Supervision (NPCS only)
No 4 75 (89.1) 0.2
Yes 7 279.7 (299.4)
Working with ophthalmologist (NPCS only)
No 5 36.4 (47.7) 0.07
Yes 6 346.0 (283.5)

*All tests are executed using Wilcoxon rank-sum test except specified. ‡ Kruskal-Wallis rank test.

Rural units in this study are district level secondary eye units.

Habtamu et al.

Habtamu et al. BMC Health Services Research 2013 13:480   doi:10.1186/1472-6963-13-480

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