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