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. 2024 Aug 19;28:100462. doi: 10.1016/j.lansea.2024.100462

Table 3.

Impact of price revision on utilisation of insurance claims across overall,a public and private sector in the state of Punjab, India.

Package category
Significantly under-priced
Moderately under-priced
Appropriately priced
Overpriced
All categories
(Cost price differential)
(<50%)
(50–75%)
(75–110%)
(>110%)
Sector Overalla Public Private Overalla Public Private Overalla Public Private Overalla Public Private Overalla Public Private
Sample size 316 314 260 159 155 139 99 89 93 39 33 38 613 591 530
Pre slopea −0.55 −0.58 0.23 −0.27 −0.27 −0.01 −0.79 −0.54 −1.44 0.91 −0.34 1.08 −0.36 −0.57 0.12
Change in slopea 1.84 0.6 1.41 0.76 0.24 0.55 0.68 0.38 0.69 0.39 0.15 0.34 1.22 0.50 0.88
Post slopea 1.29 0.02 1.64 0.49 −0.03 0.54 −0.11 −0.16 −0.75 1.3 −0.19 1.42 0.86 −0.07 1.00
p-valuea 0.001 0.066 0.012 0.017 0.039 0.106 0.117 0.002 0.126 0.373 0.006 0.407 0.009 0.039 0.026

Pre-Slope-number claims changing (increasing or decreasing) each month before intervention.

Change in Slope-number of claims (increasing or decreasing) due to intervention.

Post-Slope-number claims changing (increasing or decreasing) each month after intervention.

a

Overall represents public and private sector analysis. Values in the table present outcome in terms of number of insurance claims per package per month, all bold figures represent statistically significant figures (p value < 0.05).