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How to investigate Adherence to Antiretroviral Treatment ... - INRUD

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CHAPTER 9. INTERPRETATION OF DATA AND FOLLOW-ON QUESTIONS<br />

The pattern of survey results may give clues as <strong>to</strong> the reason for poor adherence at that<br />

facility and therefore help <strong>to</strong> guide appropriate interventions <strong>to</strong> improve the situation. It is<br />

important <strong>to</strong> present the results <strong>to</strong> key stakeholders and discuss the reasons for the results.<br />

Remember that the results are only indica<strong>to</strong>rs and in themselves only suggestive; the reasons<br />

need investigating. For all the retrospective data, the results depend on record keeping, and<br />

the problem may be nothing <strong>to</strong> do with patient behaviour but due <strong>to</strong> poor record keeping. One<br />

must not rush <strong>to</strong> judgement. Whenever feedback is given, start with positive findings. When<br />

being critical, be constructive.<br />

The key adherence indica<strong>to</strong>rs that related <strong>to</strong> clinical outcomes were the five core indica<strong>to</strong>rs<br />

chosen and reported on here—<br />

1. Percent of patients with full self-reported adherence in last three days (from exit<br />

interview)<br />

2. Average percent days covered by medicine dispensed over six months<br />

3. Percent of patients with ≥ 30 days gap in medicines dispensed<br />

4. Percent of patients attending clinic appointment as scheduled<br />

5. Percent of patients attending clinic within three days of appointment<br />

Alternate indica<strong>to</strong>rs 6 and 7—<br />

6. Percentage of all visits in the last six months made before the days of medicine<br />

supplied at the previous visit have been consumed<br />

7. Percentage of all visits in the last six months made within 3 days of when the medicine<br />

supplied at the previous visit have been consumed<br />

These may present with different patterns of results which may suggest different causation<br />

that should be <strong>investigate</strong>d. Examples of results’ patterns—<br />

If indica<strong>to</strong>r 2 is high and indica<strong>to</strong>r 3 is low (most days covered by medicine<br />

dispensed and very few gaps of 30 days or more)<br />

These results show that patients are receiving their medicine correctly and people are<br />

therefore attending the clinic when they should be. This is encouraging, but all these results<br />

really show is that the patients are receiving their medicines but it does not mean that they are<br />

taking them correctly. A facility in the Uganda feasibility study showed the average percent<br />

days covered by medicine dispensed over 6 months was 96.9 percent, while the percent of<br />

patients with a 30 days or more gap in medicines dispensed was 1.0 percent<br />

The evidence for this comes through the self-report indica<strong>to</strong>r 1 (percentage of patients with<br />

full self-reported adherence in last three days from exit interview). If this self-reported<br />

adherence indica<strong>to</strong>r is also high, we can deduce that the facility is working well. If this<br />

indica<strong>to</strong>r is lower, it suggests that patients need more counselling and support on the<br />

importance of correct medicines consumption. In the Ugandan facility, the percent of patients<br />

with full self-reported adherence in the last three days was 96.7 percent, showing that these<br />

patients were well counselled.<br />

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