ArticleCureus2025
Medication Beliefs Regarding P2Y12 Inhibitors: An Exploratory Thematic and Semantic Analysis to Better Understand the Key Barriers to Medication Adherence.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The Effect of Medication Beliefs on Medication Adherence in Patients After TKA: A Moderated Mediation Model.International journal of behavioral medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Nonadherence to P2Y12 inhibitor therapy following percutaneous coronary intervention (PCI) is associated with an increased risk of major adverse cardiovascular events. However, there are a variety of factors - intentional and non-intentional - that contribute to P2Y12 inhibitor nonadherence and result in poor patient outcomes. Objective The primary aim of this study was to identify natural, lived experiences of individuals taking P2Y12 inhibitors in the real world, using a widely used social media platform to identify common barriers to medication adherence. Methods Using deidentified data extracted from Twitter (now known as X) from January 1, 2016, to December 31, 2019, user comments pertaining to generic and brand names of P2Y12 inhibitor use were extracted using the GetOldTweets API (Application Programming Interface) with Python. Non-English tweets, duplicates, posts from automated bots, and those from users with clinical titles were excluded. The remaining posts were then manually reviewed based on the following inclusion criteria: (1) discussed treatment with P2Y12 inhibitors, (2) reflected personal experiences with P2Y12 inhibitors (e.g., patient or caregiver), and (3) provided sufficient context for qualitative analysis. A total of 366 eligible posts were analyzed using conventional content analysis and grouped into five key themes, which were further categorized into positive, negative, or neutral sentiments. Results Five representative themes emerged from the data, including adverse drug reactions (137 or 37%), affordability (93 or 25%), inconvenience of taking the medication (77 or 21%), patient-perceived response to treatment (42 or 12%), and provider trust and communication (17 or 5%). Most posts (205 or 56%) expressed negative sentiments (e.g., anger, frustration, sadness, fear) about taking P2Y12 inhibitors, while 26 (7%) shared positive sentiments (e.g., joy, gratitude, happiness, excitement). The remaining 135 (37%) were classified as neutral. Conclusions This study, using natural, lived experiences of users with P2Y12 inhibitors, highlights the complex factors that may contribute to nonadherence to this medication. By better understanding patient attitudes and beliefs regarding this class of medication, as expressed in user comments, barriers to adherence can be identified and form the basis for future studies aimed at developing meaningful interventions to ensure consistent P2Y12 inhibitor use among post-PCI patients.
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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.