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

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Chapter 3<br />

Indica<strong>to</strong>rs for possible determinants <strong>of</strong> adherence<br />

14. ARV dispensing rate—Percentage <strong>of</strong> patients who had all prescribed ARVs dispensed<br />

at the health facility.<br />

Rationale<br />

Source <strong>of</strong> data<br />

Data collection<br />

Computation<br />

Comments<br />

Failure <strong>to</strong> dispense, during the patient visit, all ARVs that were prescribed is a<br />

primary barrier <strong>to</strong> adherence.<br />

Patient exit interviews.<br />

For sample <strong>of</strong> 30 patients attending on day <strong>of</strong> data collection (or all patients if<br />

< 30 attend that day), check <strong>to</strong> see if all ARVs prescribed were dispensed.<br />

(Number <strong>of</strong> patients dispensed all ARVs prescribed/number <strong>of</strong> patients<br />

surveyed) × 100.<br />

Need <strong>to</strong> ask if patients were <strong>to</strong>ld <strong>to</strong> fill prescription outside <strong>of</strong> health facility or<br />

<strong>to</strong> return earlier than usual <strong>to</strong> pick up additional ARVs.<br />

15. Non-ARV medicines dispensing rate—Percentage <strong>of</strong> patients who had all prescribed<br />

medicines dispensed at the health facility.<br />

Rationale<br />

Source <strong>of</strong> data<br />

Failure <strong>to</strong> dispense during the patient visit all non-ARV medicines prescribed can<br />

contribute <strong>to</strong> overall low adherence.<br />

Patient exit interviews.<br />

Data collection For sample <strong>of</strong> 30 patients attending on day <strong>of</strong> data collection (or all patients if <<br />

30 attend that day), check <strong>to</strong> see if all non-ARV medicines prescribed were<br />

dispensed.<br />

Computation<br />

Comments<br />

(Number <strong>of</strong> patients dispensed all non-ARV medicines prescribed/number <strong>of</strong><br />

patients surveyed) × 100.<br />

Need <strong>to</strong> ask if patients were <strong>to</strong>ld <strong>to</strong> fill prescription outside <strong>of</strong> health facility or<br />

<strong>to</strong> return earlier than usual <strong>to</strong> pick up additional non-ARV medicines.<br />

16. Proper medicines labelling—Percentage <strong>of</strong> patients for whom all medicines dispensed<br />

are adequately labelled.<br />

Rationale<br />

Source <strong>of</strong> data<br />

Data collection<br />

Computation<br />

Comments<br />

Proper labelling <strong>of</strong> all medicines promotes better knowledge about their use and<br />

is essential for patient safety.<br />

Patient exit interviews.<br />

Based on a sample <strong>of</strong> 30 patients attending on day <strong>of</strong> data collection (or all<br />

patients if < 30 attend that day—For each medicine, the labelling on the<br />

container in which they were dispensed must contain name <strong>of</strong> medicine, how<br />

many times a day <strong>to</strong> take medicine, and how much <strong>to</strong> take each time.<br />

(Number <strong>of</strong> patients with all dispensed medicines labelled correctly/number <strong>of</strong><br />

patients assessed) × 100.<br />

Medicines must each be dispensed in a separate container (pill bottle or<br />

envelope), and each container must contain at a minimum the three items <strong>of</strong><br />

labelling assessed.<br />

These items all are important for whether the patient can take the medicine regularly as<br />

prescribed.<br />

21

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