Every cap design teaches employees something about how the benefit is meant to be used. Choose the one whose lesson matches what you actually want.
Four ways to draw the line
| Design | How it works | Cost predictability | What it teaches employees |
|---|---|---|---|
| Per employee | Fixed amount each, per year | High | Use it or lose it; dependants are your problem |
| Per family unit | One pool per employee and dependants | High | Bring the family; ration across them |
| Pooled across workforce | One fund, first-come | Low | Use it early, before it runs out |
| Tiered by need | Base for all, higher for chronic conditions | Medium | The benefit follows need, not headcount |
The pooled design usually backfires
It is the cheapest to model and the worst to live with: a shared fund that can run out creates a race, and the employees who need it most are often the slowest to claim. It also makes the benefit unpredictable in exactly the month somebody needs it.
Caps and the preventive visit
A cap set below the cost of a routine consultation and a basic panel does not control cost; it moves cost. The visit that does not happen in March becomes the admission that does happen in September, and the admission is on the insurance line rather than the OPD line — which is a budget improvement only in the sense that it is somebody else’s budget.
Questions we get asked
What is a sensible OPD cap for a corporate health programme?
The design matters more than the amount, but any cap set below the cost of a consultation plus a basic diagnostic panel will suppress the routine visits the programme exists to encourage. A cap that cannot cover one ordinary episode of care teaches employees not to start one.
Should an OPD benefit be pooled across the workforce?
Pooling is the cheapest to budget and usually the worst experienced. A shared fund that can be exhausted creates a race, penalises the employees slowest to claim, and makes the benefit unpredictable at the moment somebody needs it. Per-family pools give similar cost control without that effect.
On the figures in this piece. Every rupee amount above is arithmetic on the assumptions stated beside it, not a market statistic. Where you need published Indian claim data with its source named, that sits on claim data. We publish no figure we cannot show the working for.