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How to investigate levels of Adherence to antiretroviral ... - INRUD

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9<br />

CHAPTER 9 --- Interpretation <strong>of</strong> data and followon<br />

questions<br />

The pattern <strong>of</strong> 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<br />

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

keeping, and the problem may be nothing <strong>to</strong> do with patient behaviour but due <strong>to</strong> poor<br />

record keeping. One must not rush <strong>to</strong> judgement. Whenever feedback is given, start with positive<br />

findings. When 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. Percentage <strong>of</strong> patients with full self-reported adherence in last three days (from exit<br />

interview)<br />

2. Average percentage <strong>of</strong> days covered by medicine dispensed over six months<br />

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

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

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

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

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

previous visit have been consumed<br />

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

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

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

that should be <strong>investigate</strong>d. Examples <strong>of</strong> 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 <strong>of</strong> 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<br />

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

89

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