2017
DOI: 10.2147/ppa.s131497
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An empirical method to cluster objective nebulizer adherence data among adults with cystic fibrosis

Abstract: BackgroundThe purpose of using preventative inhaled treatments in cystic fibrosis is to improve health outcomes. Therefore, understanding the relationship between adherence to treatment and health outcome is crucial. Temporal variability, as well as absolute magnitude of adherence affects health outcomes, and there is likely to be a threshold effect in the relationship between adherence and outcomes. We therefore propose a pragmatic algorithm-based clustering method of objective nebulizer adherence data to bet… Show more

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Cited by 7 publications
(7 citation statements)
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“…In study 1 and 2, PAM-13 scores and levels (1–4) were calculated for participants at baseline and follow-up using the scoring algorithm provided by Insignia. Percentage objective nebuliser adherence was calculated at baseline and follow-up and then categorised as being very low (< 25%), low (25.1–50%), moderate (50.1–75%) or high (> 75%) according to Hoo et al [27].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In study 1 and 2, PAM-13 scores and levels (1–4) were calculated for participants at baseline and follow-up using the scoring algorithm provided by Insignia. Percentage objective nebuliser adherence was calculated at baseline and follow-up and then categorised as being very low (< 25%), low (25.1–50%), moderate (50.1–75%) or high (> 75%) according to Hoo et al [27].…”
Section: Methodsmentioning
confidence: 99%
“…Nebuliser adherence data were objectively captured with chipped devices (E-track®). Adherence was calculated as a percentage between total amount of medication used against the agreed dose between clinicians and adults with CF and clustered according to a pragmatic algorithm-based clustering method [27]. The most recent 12-month of data in the period from 01 Jan 2016 to 31 Mar 2017 for each potential participant was used for clustering (very low adherence < 25%; low adherence 25.1–50%; moderate adherence 50.1–75%; high adherence > 75%) [27].…”
mentioning
confidence: 99%
“… c The percentage values for deprivation and baseline objective adherence add up to 99% due to rounding issues. d Mean unadjusted objective adherence over the previous 6 months measured from chipped i-neb nebulizers: high (≥80.0%), moderate (50.1%-79.9%), low (25.1%-50.0%), and very low (≤25.0%) [ 11 , 27 ]. …”
Section: Methodsmentioning
confidence: 99%
“…The three a priori adherence patterns of interest are 1) people with consistently low adherence (ie, all 3-monthly adherence sections of ≤25%), 2) people with consistently high adherence (ie, all 3-monthly adherence sections of >75%), and 3) everyone else with varying adherence. The use of 3-monthly adherence sections and the ≤25%/>75% thresholds to understand whether adherence is changing over time are based on an adherence clustering algorithm that was previously published 60…”
Section: Methodsmentioning
confidence: 99%