The Morbidity Method: A Step-by-Step Guide

Author

Udeshi Salgado

Published

September 27, 2026

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Use when: medicines are disease-specific, a treatment or guideline is new, or consumption data are unreliable.

Setting up the assumptions

  • Population: served population, split by age or weight where dosing differs.
  • Episodes: incidence (acute) or prevalence (chronic) rates, or register counts.
  • Care-seeking: share of cases treated at the facilities supplied.
  • Regimen: standard treatment guideline for each patient group.
  • Allowance: retreatment, losses or non-standard prescribing (%).
  • Planning parameters: lead time, procurement period and safety stock.

Procedure

  1. Episodes = population × incidence × care-seeking rate, per patient group.
  2. Quantity per episode = dose × frequency × duration.
  3. Need = episodes × quantity per episode, summed across conditions.
  4. Add the allowance to obtain annual need.
  5. Quantity to procure = monthly need × (lead time + procurement period) + safety stock − stock on hand − stock on order.
  6. Compare with recent consumption, where available.

Worked example

A district of 200,000 people is quantifying an oral antibiotic for uncomplicated urinary tract infections in adult women; the guideline course is two capsules daily for five days.

Assumptions: adult women 34% of the population; 40 episodes per 1,000 per year; 75% treated at public facilities; 10% allowance; lead time 3 months; procurement period 12 months; safety stock 3 months; stock on hand 4,000; packs of 100.

Step Calculation Result
Target population 200,000 × 34% 68,000 women
Expected episodes 68,000 × 40 ÷ 1,000 2,720 episodes
Treated at public facilities 2,720 × 75% 2,040 episodes
Quantity per episode 2 capsules × 5 days 10 capsules
Annual need with allowance 2,040 × 10 × 1.10 22,440 capsules
Monthly need 22,440 ÷ 12 1,870 capsules
Requirement 1,870 × (3 + 12) 28,050 capsules
Safety stock 1,870 × 3 5,610 capsules
Quantity to procure 28,050 + 5,610 − 4,000 29,660 capsules
Rounded to packs 29,660 ÷ 100, rounded up 297 packs

Key considerations

  • Tends to overestimate: assumes every case is treated by the guideline.
  • Needs reliable, local disease data.
  • Split episodes by age, weight or severity.
  • Sum across all conditions using the same medicine.
  • Update immediately when guidelines change.
Acknowledgement and further learning

Based on the online course on forecasting and quantifying medicines and health products offered by i+academy; all credit belongs to the course and its facilitators. For a fuller understanding, enrol in the course on i+academy.


Other guides in this series: Consumption method · Demographic method · Other methods