The follow-up problem in homoeopathic practice
Chronic treatment depends on the follow-up. It is the visit that shows whether the remedy worked. Indian studies suggest many patients stop coming long before treatment ends — here are those numbers, with their limits spelled out.
Start with the clinical fact, not a statistic. A chronic case is treated over time. The first prescription is a best guess. The follow-up is where you find out if it was right. And the second prescription — the remedy chosen after the first has finished acting — only happens if the patient comes back. A chronic treatment plan is really a year of visits dressed up as one prescription.
What the Indian studies show
Four separate Indian studies, all in monitored settings, point the same way. We give their limits too, because a number without its limits is just marketing:
- A CCRH psoriasis study — 384 patients at 11 centres, 2014–2019 — reported dropout of "33.85% in the first year and 78.12% by the end of 2 years".
- A CCRH vitiligo study at 11 institutes enrolled 361 people. 266 completed one year, 139 continued a second, and 62 completed three years. That is about one in six over three years — our maths; the paper gives no percentage.
- Fourteen CCRH outpatient clinics saw 2,811 patients in the study period, 2,468 of them new. Follow-up forms existed for 868, and follow-ups per patient "varied from 1 to 13". Note: this period includes the COVID lockdowns, and any ratio from these counts is ours, not the paper’s.
- A West Bengal homoeopathic hospital recorded 878 appointments across 429 patients — about two visits per patient.
Two honest notes before anyone quotes these. First, these were free study groups, with staff whose job was to keep people coming back. There is no clear reason a normal paid private practice would do better. Second, we could not find a single Indian practitioner writing “my patients don’t come back” in their own words. The numbers are from research; the doctor’s voice is missing, and we would rather say so than invent a quote. (You will see no-show figures like 15%, 30% or 40% on clinic software websites. None we looked at gives a source, so none of them is here.)
Why patients stop — and why one reason is fine
Patients stop coming for many reasons: distance, money, a busy season at work or on the farm, or the problem simply getting better. That last one needs care, because software marketing often gets it wrong. In classical practice, stopping the medicine once the patient improves is often the doctor’s own advice. As Dr Prabha Acharya, MD, writes in guidance for patients:
"When individuals start feeling better after the course of the homeopathic treatment, the dose should be stopped."
So the problem is not “patients don’t finish their medicine”. That idea comes from a different system of prescribing, and it is wrong here. The real problem is that stopping the medicine and dropping out of the case are two different things, and one often leads to the other. The patient who felt better and rightly stopped also skips the follow-up. So the doctor never sees what the remedy did, and the case record ends halfway through.
One part of this really is a software problem
Most of what brings a patient back is human, and no software company should claim otherwise. But one small part is about software: the second prescription depends on being able to see the first one clearly.
Six weeks on, the questions are exact. What did I give, in what potency, on what date? Which rubrics did I take? What did the patient say, in their own words, before the remedy changed anything? If the record answers all that, the follow-up is a clear decision. If it answers roughly, it is a whole new case taking with a worse history.
That is also why we care that our suggestions stay the same for the same note. If the software reads your note differently in September than it did in July, you lose the comparison you need. In a 2026 study of four AI chatbots, asking the same case again minutes later changed the top remedy half the time.Healthcare 2026;14(7):909 More in why we don’t put an AI in the prescribing seat.
What a clinic can actually do
No software makes patients come back, and we wouldn’t trust any that claimed to. What a clinic system can do is remove the practical reasons the thread breaks:
- The follow-up is booked the day you prescribe, not left as “come after a month”. In Homoeoclinics, follow-up reminders come back to the clinic, so a missed follow-up shows up on your list instead of just going quiet.
- The patient carries the clinic in their pocket. The patient app holds their prescription, their next appointment and booking. Coming back doesn’t depend on a paper slip surviving three months on a kitchen shelf.
- Some follow-ups don’t need a trip. Book the appointment as online and a Google Meet link is made and shared on its own. Distance, work or travel costs become one less reason to miss a visit.
- Dose reminders follow your schedule, and only yours. What the patient takes, for how long, and when to stop is your instruction. The app only delivers it. If your advice is “stop when better and come and show me”, that is what the reminder supports.
- When a patient returns after a gap, the record is ready. The original case, remedy, potency and date are all attached, so someone coming back after eight months is a follow-up, not a case retaken from memory. (More in the patient records article.)
- Announcements reach every patient at once — new timings, a closure, a camp — without one phone call at a time.
That is where the honest claim ends. Dropout has causes no reminder can fix, and the studies above had more follow-up help than most software will ever give. What a good system changes is the borderline case: the patient who meant to come back, and the clinic that would have noticed they didn’t.