ArticlePatient preference and adherence2019
Cost effectiveness of interventions to improve adherence to statin therapy in ASCVD patients in the United States.
Article in Patient preference and adherence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- A Critical Systematic Review of Modelling Approaches and Methodologies used in Hyperlipidaemia Economic Evaluations.PharmacoEconomics · 2026Pooled it
- A pilot randomized clinical trial of gamification to increase medication adherence.American heart journal · 2026 · on this mapTrial
- Direct Healthcare Costs by Level of Adherence of a Real-World Population of Statin Users in Italy.ClinicoEconomics and outcomes research : CEOR · 2022Article
- Real-world evaluation of the impact of statin intensity on adherence and persistence to therapy: A Scottish population-based study.British journal of clinical pharmacology · 2020Article
- Long-Term Benefit and Withdrawal Effect of Statins After Percutaneous Coronary Intervention: A Nationwide Population-Based Cohort Study.Patient preference and adherence · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCardiovascular disease (CVD) is the leading cause of death in the United States, and high cholesterol is a leading risk factor for CVD. While statins are effective at reducing cholesterol, they are frequently underused in patients at highest risk of CVD. The objective of this study was to identify interventions which may improve adherence to statins and to assess their cost effectiveness within the US Medicare population.
methodsA literature review was undertaken to identify interventions to improve adherence in patients with CVD at highest risk of a recurrent event and to quantify non-adherence and the consequences of non-adherence to statins in this population. A Markov cost-utility model was developed to assess the cost effectiveness of these interventions.
resultsTen adherence interventions were identified in the literature, with 6 demonstrating statistically significant improvement in adherence. The six interventions were disease management, interactive voice response, nurse counselling, discharge letter, nurse/dietician counselling and electronic pill bottle with feedback. The model found the cost effectiveness of an intervention was highly dependent on its effectiveness and costs. Incremental cost effectiveness ratios ranged from $27,545/QALY for discharge letter with large adherence gain to $130,399/QALY for disease management program with small adherence gain.
conclusionSome interventions to improve adherence have been shown to be effective, but little attention has been paid to the costs. Further studies on adherence interventions should include economic evaluations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.