2022
DOI: 10.1016/j.jval.2021.11.1321
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POSC420 Assessing Algorithms to Identify Asthma Patients Using Multiple Inhaler Triple Therapy (comprising ICS, LABA, LAMA) in a Real-World Database

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“…However, they do not guarantee that the medication was taken exactly as prescribed or on what exact days patients are taking their medications, leading to a risk of misclassifying MITT users and non-users. To mitigate this, the performance of several existing algorithms was tested and assessed in exploratory analyses, to identify a single robust algorithm for the main analyses 7. As there were no external standards or validated algorithms against which to compare, the assessment was subjective, and each metric was recalculated following adaptations to the original, existing algorithms.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…However, they do not guarantee that the medication was taken exactly as prescribed or on what exact days patients are taking their medications, leading to a risk of misclassifying MITT users and non-users. To mitigate this, the performance of several existing algorithms was tested and assessed in exploratory analyses, to identify a single robust algorithm for the main analyses 7. As there were no external standards or validated algorithms against which to compare, the assessment was subjective, and each metric was recalculated following adaptations to the original, existing algorithms.…”
Section: Discussionmentioning
confidence: 99%
“…To mitigate this, the performance of several existing algorithms was tested and assessed in exploratory analyses, to identify a single robust algorithm for the main analyses. 7 As there were no external standards or validated algorithms against which to compare, the assessment was subjective, and each metric was recalculated following adaptations to the original, existing algorithms. To explore the findings from this study, further observational studies, randomised controlled trials or prospective studies should be conducted using other secondary datasets.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations