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CM16.3 | CM16.3 | Health Management Techniques — SDL Guide (Part 3)
Applying Management Techniques: Case Studies from Indian Health Programmes
Seeing management techniques applied to real Indian programmes consolidates the abstract concepts into practice-ready understanding. Two case studies are presented here: NHM's ASHA deployment (task shifting and performance management) and the Revised National Tuberculosis Control Programme / National TB Elimination Programme (RNTCP/NTEP) — a programme that has relied heavily on both operational management techniques and health economics evidence.
Case Study 1 — ASHA Deployment in NHM (Task Shifting + Performance Management): The decision to create the ASHA cadre was itself a management decision — applying the task-shifting technique to India's rural health worker shortage. The situation analysis finding was that ANMs could not reach all households for preventive services; the management response was to deploy community-level workers (ASHAs) for demand-side activation (accompanying women for institutional delivery, mobilising immunisation, conducting home visits). The performance management system — an incentive-based payment structure tied to 49 defined tasks (each with a payment rate) rather than a fixed salary — was an innovative application of performance-based financing as a management technique to maintain motivation in a large, dispersed workforce. Gantt-chart-like scheduling tools are used in district SPIP planning to time ASHA training batches against programme launch dates.
Case Study 2 — RNTCP/NTEP Management (Health Economics + Operational Management): The Revised National Tuberculosis Control Programme (now National TB Elimination Programme, targeting TB elimination by 2025) deployed both health economics tools and operational management techniques to justify its design and manage its implementation. CEA studies comparing DOTS (Directly Observed Therapy Short-course) against self-administered therapy consistently showed DOTS to be cost-effective (cost per case cured in the range of $10-15 in early RNTCP evaluations), providing the economic management rationale for the programme model. Operationally, RNTCP's patient-tracking system — daily DOT, monthly sputum smear follow-up, drug card documentation — functions as a structured monitoring system analogous to PDSA-cycle data collection at the patient level. The recent Ni-kshay Poshan Yojana (nutritional support Rs. 500/month for notified TB patients) was justified partly by a CBA framework showing that the economic productivity gains from successful TB treatment exceed the programme costs many times over.
These case studies show that management techniques are not textbook exercises — they are the analytical tools that built India's largest public health programmes and continue to guide their improvement.
SELF-CHECK
A state health department is deciding whether to introduce a new rapid diagnostic test for malaria that costs Rs. 80 per test (vs Rs. 20 for microscopy) but reduces time to diagnosis from 3 hours to 20 minutes and is deployable by ASHAs without laboratory infrastructure. Which health economics analytical method is MOST appropriate to inform this decision?
A. Cost-benefit analysis, because the new test requires converting time-savings into monetary benefits
B. Cost-effectiveness analysis, comparing cost per case correctly diagnosed (or cost per malaria death prevented) for the two diagnostic approaches
C. Cost-utility analysis, because the decision involves comparing quality-adjusted life years across two patient groups
D. A Gantt chart analysis, because the primary issue is the time difference between the two diagnostic approaches
Reveal Answer
Answer: B. Cost-effectiveness analysis, comparing cost per case correctly diagnosed (or cost per malaria death prevented) for the two diagnostic approaches
CEA is the most appropriate method here. The health outcome of interest is clearly defined (malaria case correctly diagnosed and appropriately treated, or malaria death prevented), and the question is which diagnostic approach achieves this outcome more efficiently (cost per case correctly managed). CBA would require converting the benefit of correct malaria diagnosis into monetary terms — technically feasible (productivity losses averted) but more complex than needed for this operational decision. CUA would require QALY measurement across the patient population, which is methodologically heavy for a diagnostic comparison. A Gantt chart is a scheduling tool, not an economic evaluation method — it has no role in comparing diagnostic costs. The CEA result (cost per case correctly diagnosed) would be directly comparable to HMIS-reported case detection rates and malaria mortality data to inform the roll-out decision.
CLINICAL PEARL
The PDSA cycle's power is in the 'small test' principle. A common mistake is to implement a new management change system-wide immediately — if it fails, the impact is system-wide and hard to reverse. The PDSA discipline of testing at small scale first (one PHC, one ward, one month) allows learning before commitment. When the NHM piloted the village health and nutrition day (VHND) model, it was first tested in a handful of blocks before national scale-up. The same principle applies to any quality improvement initiative you introduce as a facility manager: pilot, measure, learn, then scale.