# Missed appointments in Ethiopia are a clinical failure, not an empty chair

> 39.2% of hypertensive patients in South Gondar follow-up clinics missed their appointments. In HIV care, 93% of patients lost to follow-up disappeared within six months. The Ethiopian evidence measures the harm, not the lost revenue.

Source: https://www.medicine.et/research/missed-appointments  
Site: Bloom Medicine — https://www.medicine.et  
Last updated: 2026-07-25

---

Clinic operations · Appointments & retention · published July 25, 2026

## Key findings

- 39.2% of 401 hypertensive patients across four South Gondar hospitals were non-adherent to appointment follow-up (2023).
- Absence of perceived symptoms was the strongest predictor of missing appointments (AOR 4.98), followed by pill burden (3.50), poor awareness of complications (2.62) and distance (2.53).
- Among pre-ART patients at a rural Ethiopian hospital, 28.4% were lost to follow-up and 93% of those losses happened within the first six months.
- In an Amhara ART cohort, loss to follow-up ran at 13.45 per 100 person-years (95% CI 11.78–15.34).

Clinic software vendors usually frame missed appointments as a revenue problem: an empty slot is money that did not arrive. In Ethiopian chronic-disease care, the published evidence frames it differently — a missed appointment is a patient who stopped being treated, and the studies measure it as such.

## Hypertension: two in five miss follow-up

A cross-sectional study of **401 hypertensive patients across four South Gondar hospitals** (data collected January–February 2023, 95% response rate) found **39.2% were non-adherent to their appointment follow-up** [1].

The associated factors are the useful part, because they are all recognisable at the front desk [1]:

```chart
{
  "type": "forest",
  "title": "What predicts a missed hypertension follow-up",
  "subtitle": "Adjusted odds ratios with 95% confidence intervals; 1.0 means no association. Every one of these is visible in the chart before the patient fails to arrive.",
  "reference": 1,
  "source": "Yirga et al. 2024, four South Gondar hospitals, n=401 [1]",
  "data": [
    { "label": "Absence of perceived symptoms", "value": 4.98, "ci": [2.89, 8.59] },
    { "label": "Pill burden", "value": 3.5, "ci": [2.11, 5.83] },
    { "label": "Poor awareness of complications", "value": 2.62, "ci": [1.47, 4.67] },
    { "label": "Living far from the facility", "value": 2.53, "ci": [1.35, 4.74] }
  ]
}
```

The strongest predictor is feeling fine. A well-controlled hypertensive patient has no symptom prompting them to return, so the only thing standing between them and disengagement is the clinic's ability to notice and call. That is not a motivational problem to be solved with better counselling alone — it is an information problem about who is due and who did not arrive.

## HIV care: the losses are front-loaded

Two Ethiopian retention studies show *when* patients disappear, which is more actionable than knowing how many.

In a rural hospital pre-ART cohort of 626 adults followed 2010–2013, **178 patients (28.4%) were lost to follow-up, and 93% of those losses occurred within the first six months** [2]. Median follow-up time before loss was 6.13 months, and patients not started on co-trimoxazole prophylaxis were at higher risk (AHR 1.77, 95% CI 1.12–2.79) [2].

In an Amhara ART cohort of 542 adults, the incidence density of loss to follow-up was **13.45 per 100 person-years (95% CI 11.78–15.34)**, with poor drug adherence the strongest predictor (AHR 3.04, 95% CI 2.18–4.24) [3].

```chart
{
  "type": "bars",
  "title": "Where retention fails, across three Ethiopian cohorts",
  "subtitle": "Different diseases, different decades, same shape: disengagement is common and it happens early.",
  "unit": "%",
  "max": 100,
  "highlight": "Pre-ART losses occurring in the first 6 months",
  "source": "Yirga et al. 2024 [1]; Shaweno & Shaweno 2015 [2]",
  "data": [
    { "label": "Pre-ART losses occurring in the first 6 months", "value": 93 },
    { "label": "Hypertensive patients non-adherent to follow-up", "value": 39.2 },
    { "label": "Pre-ART patients lost to follow-up overall", "value": 28.4 }
  ]
}
```

The operational reading: **the highest-risk window is the beginning of care**, not the long tail. A clinic that concentrates follow-up effort on the first six months after enrolment is working where the evidence says the losses are.

## What this implies for how a clinic runs

1. **The list that matters is "expected today and did not arrive."** Most registers can produce who attended. Very few can produce who was due and is missing, which is the only list that supports tracing.
2. **Front-load contact in the first six months.** In pre-ART care, 93% of losses happened in that window [2].
3. **Flag asymptomatic chronic patients specifically.** They are the group least likely to self-motivate (AOR 4.98) [1].
4. **Record a phone number that will still work.** Every intervention above depends on being able to reach the patient months later.
5. **Note pill burden.** It nearly quadrupled the odds of missed follow-up [1] and is visible in the prescription, so it can be flagged without asking the patient anything.

## What this note does not claim

None of these studies measures the financial cost of a missed appointment in an Ethiopian private clinic, and we found no Ethiopian study that does. Figures circulating on the cost of no-shows are drawn from other health systems with different payment models and do not transfer; they are not cited here.

The hypertension study is cross-sectional — it establishes association between predictors and non-adherence, not causation, and it covers four hospitals in one zone [1]. The two retention studies are HIV-specific and drawn from public programmes; the pre-ART cohort dates from 2010–2013 [2], so treatment guidelines have changed substantially since. Their value here is the *timing* pattern, which is robust across settings, rather than the absolute rates.

## References

1. Yirga GK, Mekonen GS, Hiruy EG, Shiferaw K, Bantie B. *Non-adherence to appointment follow-up and its associated factors among hypertensive patients in follow-up clinics in South Gondar hospitals*. Scientific Reports 14:21336, 2024. https://doi.org/10.1038/s41598-024-70710-1
2. Shaweno T, Shaweno D. *When are patients lost to follow-up in pre-antiretroviral therapy care? A retrospective assessment of patients in an Ethiopian rural hospital*. Infectious Diseases of Poverty 4:27, 2015. https://doi.org/10.1186/s40249-015-0056-y
3. Telayneh AT, Tesfa M, Woyraw W, et al. *Time to lost to follow-up and its predictors among adult patients receiving antiretroviral therapy: retrospective follow-up study, Amhara, Northwest Ethiopia*. Scientific Reports 12:2916, 2022. https://doi.org/10.1038/s41598-022-07049-y