Improving the accuracy of adherence data collected using medication monitoring technology in clinical research.
Autor: | Morrow M; Department of Biostatistics and Informatics, Colorado School of Public Health, Anschutz Medical Campus, Aurora, CO, USA., MaWhinney S; Department of Biostatistics and Informatics, Colorado School of Public Health, Anschutz Medical Campus, Aurora, CO, USA., Brooks KM; Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Huntley R; Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Castillo-Mancilla JR; Division of Infectious Diseases, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Anderson PL; Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Kiser JJ; Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Electronic address: jennifer.kiser@cuanschutz.edu. |
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Jazyk: | angličtina |
Zdroj: | Contemporary clinical trials [Contemp Clin Trials] 2023 Feb; Vol. 125, pp. 107051. Date of Electronic Publication: 2022 Dec 15. |
DOI: | 10.1016/j.cct.2022.107051 |
Abstrakt: | Ambiguous adherence data adversely effects the statistical analyses, study conclusions, and generalizability of research findings for clinical trials. Fortunately, technology-based measures of drug dosing provide more objective measures of medication adherence. While adherence data obtained through monitoring technology avoids the well documented shortcomings of self-reported adherence data, there are important limitations and nuances with use of these technologies that should be considered at study inception, conduct, and analysis. This article describes considerations for data collection and management with use of electronic adherence monitoring, specifically mobile-phone video applications or electronic pillbox devices. The overall aim of this communique is to provide research teams the ability to collect more accurate adherence data and ultimately improve the quality and outcome of their research. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2022. Published by Elsevier Inc.) |
Databáze: | MEDLINE |
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