Which dental insurance add-on in India provides the best value for families?

Analyze health insurance riders and standalone dental insurance options, comparing coverage for preventive care, root canals, orthodontics, and annual limits for family coverage.

# Aplly.xyz Case Study Submission

## Title
Which dental insurance add-on in India provides the best value for families?

## Type
Healthcare Decision Analytics

## Difficulty
Intermediate

## Estimated Time
60 minutes

## Overview
Analyze health insurance riders and standalone dental insurance options, comparing coverage for preventive care, root canals, orthodontics, and annual limits for family coverage.

## Case Details

Function Focus: Healthcare Decision Analytics — manual reasoning, decomposition, and critical judgment (no spreadsheet or AI tool permitted in Phase 1)

Scenario:
You are the analyst at a fictional consultancy ("Praxis Advisors") tasked with answering: Which dental insurance add-on in India provides the best value for families?. You have a clean, synthetic dataset described below. You must produce a defensible answer using structured reasoning — no tool-assisted shortcut on the first pass.

Dataset Structure:
- provider
- service_type
- consultation_fee_rs
- rating_1to5
- avg_wait_days
- patient_satisfaction_pct
- network_doctors
- online_prescription
- lab_test_home_collection

Tasks:
1. Segment the patient/population records into risk or need groups by hand using the dataset columns.
2. Define the outcome metric and estimate the impact of the leading option per group.
3. Compute a cost-effectiveness or benefit comparison with explicit assumptions.
4. State which group-level data would change the decision, and flag data quality concerns.
5. After your manual estimate, verify the arithmetic with a spreadsheet and reconcile.

Expected Output:
A one-page decision memo: segment profiling, outcome estimate, cost-effectiveness comparison, recommendation per group.

Evaluation Criteria:
Sound risk segmentation, transparent cost-effectiveness logic, group-level nuance in the recommendation.

## Data Sources

| provider | service_type | consultation_fee_rs | rating_1to5 | avg_wait_days | patient_satisfaction_pct | network_doctors | online_prescription | lab_test_home_collection |
|---|---|---|---|---|---|---|---|---|
| Apollo Health | Telemedicine | 599 | 4.5 | 1 | 92 | 45000 | True | True |
| Practo | Telemedicine | 499 | 4.2 | 1 | 88 | 60000 | True | True |
| 1mg | Pharmacy | 0 | 4.3 | 2 | 85 | 30000 | True | True |
| PharmEasy | Pharmacy | 0 | 4 | 2 | 82 | 25000 | True | True |
| HealthifyMe | Fitness | 999 | 4.3 | 0 | 85 | 8000 | False | False |
| Cult.fit | Fitness | 1499 | 4.4 | 1 | 88 | 12000 | False | False |
| Tata Health | Mental Health | 750 | 4.2 | 2 | 84 | 3500 | True | False |
| YourDOST | Mental Health | 500 | 4 | 1 | 80 | 2000 | True | False |
| Dr. Lal PathLabs | Diagnostic | 0 | 4.4 | 1 | 90 | 0 | False | True |
| MFine | Multi-service | 549 | 4.1 | 1 | 83 | 35000 | True | True |


Full dataset: https://github.com/arora200/aplly_case_db/datasets/056-healthcare-wellness (synthetic, 10 records)

## Solution Frameworks
Risk stratification, cost-effectiveness analysis, evidence-weighted decision matrix, patient-segment profiling

## Solver Guidance & Tutorials
_Solver guidance added by the pipeline (tutorial links) — see `solver_guidance` field._

## What You'll Learn
- Segment populations into risk groups
- Compare options on cost-effectiveness
- Make group-aware recommendations

## Tags
Dental Insurance, Health Insurance Rider, India

## Registration Links
Register as Solver / Register as Evaluator