ArticleFrontiers in pharmacology2026
Psychosocial and clinical determinants of medication adherence among elderly chronic disease patients in China.
Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Identifying psychosocial factors associated with medication adherence is critical to optimize chronic disease management in elderly patients. This study aimed to explore key psychosocial and clinical determinants of medication adherence and their synergistic interactions among home-dwelling elderly patients with chronic diseases. Methods: A cross-sectional study was conducted among 952 elderly patients. Data were collected using validated scales including Adherence to Refills and Medications Scale (ARMS), Self-efficacy for Appropriate Medication Use Scale (SEAMS), Social Support Rate Scale (SSRS), Beliefs about Medical Questionnaire (BMQ), and The Adapted Chinese medication literacy measure (ChMLM). Univariate and multivariable logistic regression, together with interaction analysis, were used to explore associated factors and their synergistic effects. Results: Among 952 participants (mean age 70.32 ± 6.95 years, 51.47% male), multivariable analysis showed that living with a caregiver (OR = 6.91, 95% CI: 2.79-17.70, p < 0.001), higher self-efficacy (OR = 1.13, 95% CI: 1.10-1.17, p < 0.001), Support utilization (OR = 1.09, 95% CI: 1.01-1.17, p = 0.027), stronger medication necessity beliefs (OR = 1.06, 95% CI: 1.02-1.11, p = 0.005), and better medication proficiency (OR = 1.02, 95% CI: 1.00-1.04, p = 0.018) were independently associated with good adherence. Conversely, higher medication concerns (OR = 0.94, 95% CI: 0.91-0.98, p = 0.003), Objective support (OR = 0.91, 95% CI: 0.84-0.98, p = 0.020) and more medication knowledge (OR = 0.97, 95% CI: 0.96-0.99, p < 0.001) were associated with poorer adherence. Critically, Six significant synergistic interactions were identified, including Necessity × Concerns and Knowledge × Self-efficacy, suggesting mutual modification between these factors. Conclusion: Medication adherence is influenced by a complex network of determinants, where cognitive, behavioral, and social factors do not operate in isolation but interact synergistically. Multidimensional interventions targeting high-risk combinations, such as high medication knowledge with low self-efficacy, may effectively improve adherence.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.