The value of adherence information during clinical pharmaceutical trials.

Adherence monitoring FDA clinical trial design cost-effectiveness digital medicine simulation trial enrichment

Journal

Clinical trials (London, England)
ISSN: 1740-7753
Titre abrégé: Clin Trials
Pays: England
ID NLM: 101197451

Informations de publication

Date de publication:
06 2022
Historique:
pubmed: 6 5 2022
medline: 18 6 2022
entrez: 5 5 2022
Statut: ppublish

Résumé

The quality of the evidence used to evaluate a drug's safety and efficacy depends, in part, on how well participants adhere to the prescribed drug-taking regime. There are multiple approaches to measure adherence in clinical trials, varying in their cost and accuracy. We demonstrate a method for evaluating the cost-effectiveness of common adherence monitoring methods, considering the costs and data quality for drugs that differ in how forgiving they are of nonadherence. We propose a simulation approach to estimate the value of evidence about adherence, considering both costs of collection and potential errors in interpreting clinical trial results. We demonstrate the approach with a simulated clinical trial of nitrendipine, a common calcium channel blocker. We consider two trial designs, one using pretrial adherence to "enrich" the trial sample and one without an enrichment strategy. We use scenarios combining high and low values of two key properties of a clinical trial: participant adherence and drug forgiveness. Under the conditions of these simulations, the most cost-effective adherence monitoring approach depends on both trial participant adherence and drug forgiveness. For example, the enrichment strategy is not cost-effective for the base scenario (high forgiveness and high adherence), but is for other scenarios. We also estimate the effects of evaluable patient analysis, a controversial procedure that excludes nonadherent participants from the analyses, after a trial is completed. Our proposed approach can guide drug regulators and developers in designing efficient clinical trials and assessing the impact of nonadherence on trial results. It can identify cost-effective adherence-monitoring methods, given available knowledge about the methods, drug, and patients' expected adherence.

Sections du résumé

BACKGROUND/AIMS
The quality of the evidence used to evaluate a drug's safety and efficacy depends, in part, on how well participants adhere to the prescribed drug-taking regime. There are multiple approaches to measure adherence in clinical trials, varying in their cost and accuracy. We demonstrate a method for evaluating the cost-effectiveness of common adherence monitoring methods, considering the costs and data quality for drugs that differ in how forgiving they are of nonadherence.
METHODS
We propose a simulation approach to estimate the value of evidence about adherence, considering both costs of collection and potential errors in interpreting clinical trial results. We demonstrate the approach with a simulated clinical trial of nitrendipine, a common calcium channel blocker. We consider two trial designs, one using pretrial adherence to "enrich" the trial sample and one without an enrichment strategy. We use scenarios combining high and low values of two key properties of a clinical trial: participant adherence and drug forgiveness.
RESULTS
Under the conditions of these simulations, the most cost-effective adherence monitoring approach depends on both trial participant adherence and drug forgiveness. For example, the enrichment strategy is not cost-effective for the base scenario (high forgiveness and high adherence), but is for other scenarios. We also estimate the effects of evaluable patient analysis, a controversial procedure that excludes nonadherent participants from the analyses, after a trial is completed.
CONCLUSIONS
Our proposed approach can guide drug regulators and developers in designing efficient clinical trials and assessing the impact of nonadherence on trial results. It can identify cost-effective adherence-monitoring methods, given available knowledge about the methods, drug, and patients' expected adherence.

Identifiants

pubmed: 35510559
doi: 10.1177/17407745221084127
doi:

Substances chimiques

Pharmaceutical Preparations 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

326-336

Auteurs

Emily N Grayek (EN)

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.

Baruch Fischhoff (B)

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.

Alexander L Davis (AL)

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.

Tamar Krishnamurti (T)

Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

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