Patient Prefer Adher
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Patient Prefer Adher · Jan 2023
Assessing the Validity of Health Messages Used by the Saudi Public in WhatsApp.
WhatsApp is the most frequently used social media platform in Saudi Arabia. Inaccurate information could negatively impact public health. The number of studies worldwide investigating health-related misinformation in social media increased steadily, with limited data from Arabic-speaking communities. This study aimed to estimate the validity and safety of Arabic-language health information messages circulated on WhatsApp and identify the different categories of these messages based on their credibility. ⋯ This study showed a high percentage of inaccurate and invalid health-related messages on WhatsApp. Invalid messages with potential health risks were authored mostly by unknown sources or unqualified persons. Most health messages written by trusted authorities and qualified persons were valid. Trusted scientific authorities should thus be more active in public education on social media platforms. They should advise their communities on how to discern the validity of such messages. More efforts are needed to guide patients from where to obtain accurate and valid health information.
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Patient Prefer Adher · Jan 2023
A Cross-Sectional Study to Investigate the Prevalence of Self-Medication of Non-Opioid Analgesics Among Medical Students at Qassim University, Saudi Arabia.
Self-medication (SM) using non-opioid analgesics (NOA) is contentious and increasingly recognized as a major public health concern with severe consequences, including masking of malignant and fatal diseases, risk of misdiagnosis, problems relating to over- and under-dosing, drug interactions, incorrect dosage, and choice of therapy. Herein, we aim to determine the prevalence of SM with NOA among pharmacy and medical students at Unaizah College, Qassim University, Saudi Arabia. ⋯ We observed a high rate of SM for NOA among undergraduate students. We believe that the adverse consequences of SM could be controlled through educational, regulatory, and administrative strategies by providing appropriate awareness sessions, and the role of pharmacists should be highlighted in preventing SM from NOA.
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Patient Prefer Adher · Jan 2023
Patients' Use of a Standardized Medication List - A Mixed Methods Study.
A medication list (ML) is a document listing the patient's entire medication, instructions for use, and indications. In Germany, a national standard was established in 2016 by law. However, data on patients' use of this standardized ML are scarce. We investigated (i) patients' practical use of the ML, (ii) patients' understanding of the ML, (iii) completeness and correctness of the current ML version, and (iv) reasons why patients did not adhere to their ML. ⋯ Completeness and correctness of the current ML version was poor with handwritten modifications being frequent. Additionally, most of the patients did not adhere to their ML. This indicates that measures that lead to correct and up-to-date ML and improvements in patient counseling about their medication should be developed and implemented into routine practice.
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Patient Prefer Adher · Jan 2023
A Quantitative Framework for Medication Non-Adherence: Integrating Patient Treatment Expectations and Preferences.
Medication non-adherence remains a significant challenge in healthcare, impacting treatment outcomes and the overall effectiveness of medical interventions. This article introduces a novel approach to understanding and predicting medication non-adherence by integrating patient beliefs, efficacy expectations, and perceived costs. Existing theoretical models often fall short in quantifying the impact of barrier removal on medication adherence and struggle to address cases where patients consciously choose not to follow prescribed medication regimens. In response to these limitations, this study presents an empirical framework that seeks to provide a quantifiable model for both individual and population-level prediction of non-adherence under different scenarios. ⋯ Our framework represents a pioneering effort to quantitatively link non-adherence to patient preferences. Preliminary results from our pilot study of patients with hypertension suggest that the framework offers a viable alternative for evaluating the potential impact of interventions on treatment adherence.
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Patient Prefer Adher · Jan 2023
SPUR-27 - Psychometric Properties of a Patient-Reported Outcome Measure of Medication Adherence in Chronic Obstructive Pulmonary Disease.
People living with COPD who struggle to take their medicines often experience poorer health outcomes such as exacerbations of symptoms, more frequent and lengthy hospital admissions, and worsening mortality rates. This study aimed to evaluate the psychometric properties of the previously validated SPUR-27 model, a multi-factorial model of medication adherence. ⋯ SPUR demonstrated strong psychometric properties in patients living with COPD. Further work should look to examine the test-retest reliability of the model and its application in broader sample populations.