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Personalising adherence-enhancing interventions using a smart inhaler in patients with COPD: an exploratory cost-effectiveness analysis.

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posted on 2022-01-07, 17:21 authored by Job FM van Boven, Breda CushenBreda Cushen, Imran SulaimanImran Sulaiman, Garrett Greene, Elaine MacHale, Matshediso Mokoka, Frank DoyleFrank Doyle, Richard B. Reilly, Kathleen BennettKathleen Bennett, Richard CostelloRichard Costello

Four inhaler adherence clusters have been identified using the INCA audio device in COPD patients: (1) regular use/good technique, (2) regular use/frequent technique errors, (3) irregular use/good technique, and (4) irregular use/frequent technique errors. Their relationship with healthcare utilization and mortality was established, but the cost-effectiveness of adherence-enhancing interventions is unknown. In this exploratory study, we aimed to estimate the potential cost-effectiveness of reaching optimal adherence in the three suboptimal adherence clusters, i.e., a theoretical shift of clusters 2, 3, and 4 to cluster 1. Cost-effectiveness was estimated over a 5-year time horizon using the Irish healthcare payer perspective. We used a previously developed COPD health-economic model that was updated with INCA trial data and Irish national economic and epidemiological data. For each cluster, interventions would result in additional quality-adjusted life years gained at reasonable investment. Cost-effectiveness was most favorable in cluster 3, with possible cost savings of €845/annum/person.

Funding

Health Research Board of Ireland. Irish Research Council (REPRO/ 2015/90).

History

Comments

The original article is available at www.nature.com

Published Citation

van Boven JFM, Cushen B, Sulaiman I, Greene G, MacHale E, Mokoka MC, Doyle F, Reilly RB, Bennett K, Costello RW. Personalising adherence-enhancing interventions using a smart inhaler in patients with COPD: an exploratory cost-effectiveness analysis. NPJ Primary Care Respiratory Medicine. 2018;28:24

Publication Date

2018-06-27

PubMed ID

29950601

Department/Unit

  • Beaumont Hospital
  • Clinical Research Centre
  • Health Psychology
  • Medicine
  • Data Science Centre