BACKGROUND Evidence suggests that patients who are more satisfied with their treatment show better adherence with the prescribed therapy. Although there is valuable data about medication adherence among renal transplant recipients (RTRs), there is a limited literature about their treatment satisfaction and its relation to adherence. The aim of the present study was to investigate factors that can predict medication adherence and to explore the relationship between treatment satisfaction and medication adherence in renal transplant recipients. MATERIAL AND METHODS Adult RTRs were included in the study using convenient sampling. The participants were asked to complete the 8-item Morisky Medication Adherence Scale (MMAS-8) and Treatment Satisfaction Scale TSQM 1.4 in addition to several socio-demographic and treatment-related data. The results were statistically analyzed using univariate and multivariate logistic regression modelling in a stepwise procedure. RESULTS A total of 151 RTRs were included in the study, of which 52 were classified as adherent (34%). Univariate analysis showed that, in comparison with non-adherent RTRs, the adherent group demonstrated significantly higher satisfaction scores in the domains of convenience (96.6±8.7 vs. 85.3±19.3), side effects (95.9±14.1 vs. 82.6±24.1), and global satisfaction (93.4±9.8 vs. 86.7±16.7), while they had marginally higher satisfaction scores in the effectiveness domain (90.4±11.6 vs. 86.5±14.5). Results from multiple logistic regression showed that higher likelihood of adherence was significantly associated with increased satisfaction score in the convenience domain [AOR=1.76, 95% CI=(1.21, 2.55); p=0.003] and marginally related to increased satisfaction scores in the side effects domain [AOR=1.31, 95% CI=(0.99, 1.74); p=0.061]. Male RTRs were significantly more likely to be adherent than female RTRs [AOR=2.23, 95% CI=(1.02, 4.84); p=0.043]. CONCLUSIONS Although the adherence rate among RTRs is relatively low, males and RTRs who reported higher treatment satisfaction (convenience and side effects domains) showed better medication adherence. It is recommended that interventional programs for the improvement of dialysis patient adherence should be developed, in addition to designing strategies to improve treatment convenience and knowledge of medication side effects.
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http://dx.doi.org/10.12659/aot.897101 | DOI Listing |
Int J Health Plann Manage
December 2024
Centre for Global Chronic Conditions, London School of Hygiene & Tropical Medicine, London, UK.
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View Article and Find Full Text PDFObjective: To investigate the influencing factors of the number of physical diseases in elderly hospitalized psychiatric patients.
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BMC Prim Care
December 2024
Health Technology Assessment in Primary Care and Mental Health (PRISMA) Research Group, Institut de Recerca Sant Joan de Deu, Santa Rosa 39‑57, Esplugues de Llobregat, 08950, Spain.
Sci Rep
December 2024
School of Public Health, Adama Hospital and Medical College, Adama, Ethiopia.
Interventions designed to improve medication adherence, and blood pressure control have not been effective globally. There is limited comprehensive understanding regarding the level of drug adherence to antihypertensive medications in Ethiopia, particularly in the study area. This study aimed to assess adherence to antihypertensive medication and associated factors among patients with hypertension on follow-up at public health facilities of Adama town, Oromia, Ethiopia.
View Article and Find Full Text PDFRes Social Adm Pharm
December 2024
School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Background: Artificial intelligence (AI), a branch of computer science, has been of growing research interest since its introduction to healthcare disciplines in the 1970s. Research has demonstrated that the application of such technologies has allowed for greater task accuracy and efficiency in medical disciplines such as diagnostics, treatment protocols and clinical decision-making. Application in pharmacy practice is reportedly narrower in scope; with greater emphasis placed on stock management and day-to-day function optimisation than enhancing patient outcomes.
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