SynthesisHeart failure reviews2018
In search of a standard when analyzing medication adherence in patients with heart failure using claims data: a systematic review.
Synthesis in Heart failure reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interventions to increase the pharmacological adherence on arterial hypertension in Latin America: a systematic review.International journal of public health · 2020Pooled it
- Measuring patient adherence in secondary prevention of atherosclerotic cardiovascular disease: a scoping review.BMJ open · 2026Article
- Medication adherence in patients with acutely decompensated heart failure: A cross-sectional study in the emergency department (ADHF-ED).European journal of heart failure · 2025Article
- Medication Adherence Measurement in Chronic Diseases: A State-of-the-Art Review of the Literature.Nursing reports (Pavia, Italy) · 2025Review
- Evidence-based medication adherence among seniors in the first year after heart failure hospitalisation and subsequent long-term outcomes: a restricted cubic spline analysis of adherence-outcome relationships.European journal of clinical pharmacology · 2023Article
- Adherence and persistence to pharmacotherapy in patients with heart failure: a nationwide cohort study, 2014-2020.ESC heart failure · 2023Article
- Medication adherence prediction through temporal modelling in cardiovascular disease management.BMC medical informatics and decision making · 2022Article
- Towards better reporting of the proportion of days covered method in cardiovascular medication adherence: A scoping review and new tool TEN-SPIDERS.British journal of clinical pharmacology · 2022Article
- Safely disposing unused and unwanted prescription and over-the-counter medications: a public health, housing, and safety partnership in Framingham, MA.Journal of pharmaceutical policy and practice · 2022Article
- Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach.BMC medical informatics and decision making · 2021Article
- Implicit and Explicit Attitudes Toward Antihypertensive Medications Explain Variation in Pharmacy Refill and Self-Reported Adherence Beyond Traditional Risk Factors: Potential Novel Mechanism Underlying Adherence.Journal of the American Heart Association · 2021Article
- Impact of sex differences in co-morbidities and medication adherence on outcome in 25 776 heart failure patients.ESC heart failure · 2021Article
- Antidepressant adherence and its predictors in immigrants with depression: A population-based study.Medicine · 2020Observational
- Article
- Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure.Clinical pharmacology and therapeutics · 2019Article
- Quality of health care with regard to detection and treatment of mental disorders in patients with coronary heart disease (MenDis-CHD): study protocol.BMC psychology · 2019Article
- Does knowledge of patient non-compliance change prescribing behavior in the real world? A claims-based analysis of patients with serious mental illness.ClinicoEconomics and outcomes research : CEOR · 2018Article
- Estimating Adherence Based on Prescription or Dispensation Information: Impact on Thresholds and Outcomes. A Real-World Study With Atrial Fibrillation Patients Treated With Oral Anticoagulants in Spain.Frontiers in pharmacology · 2018Article
- Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database.Clinical epidemiology · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To determine and address medication non-adherence is important and may improve patient outcomes. Our aim was to perform a systematic review on the operationalization of adherence measures in patients with heart failure using claims data. We searched the MEDLINE, EMBASE, and Cochrane databases. A quality check of the full-text articles was performed using the Quality in Prognosis Studies tool. We included 28 studies. Eleven studies used the medication possession ratio, 15 the proportion of days covered, and six studies used own methods to calculate medication adherence. Almost all studies used an observation period of 1 year. Twenty-one studies considered angiotensin converting enzyme inhibitors or angiotensin receptor antagonists, 17 beta-blockers, 11 diuretics, eight mineralocorticoid receptor antagonists, six digitalis-glycosides, and six statins. Eight studies looked at single substance classes; 18 studies analyzed more than one drug class. Different assumptions for the dosage were used. In seven studies, switching within therapeutic classes was allowed. Three studies allowed stockpiling, nine studies censored hospital stays, and four studies censored death. Seventeen studies dichotomized the results, applying the cutoff ≥ 0.8 to define a patient as adherent. Eight studies analyzed adherence as a continuous value. The reporting quality of the methodology applied varied widely between studies. A gold standard is currently not available for the quantification of medication adherence in patients with chronic heart failure via claims data. To assess the methodology, the following parameters should be described: method of measurements, observation period, substances, dosing, switches, stockpiling, truncations, statistical analysis, and cutoff for adherence.
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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.