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Medication adherence is a vexing challenge, with over 50% of US adults not adhering to their prescribed medication regimen. Most medications are self-administered by patients at home, requiring them to independently develop and manage their own medication routines. By understanding these home-based practices, such as where patients store their medications and how different storage locations impact adherence, we can develop targeted interventions to improve adherence rates. Our goal was to identify and categorize self-reported home medication management practices and determine which practices are associated with self-reported medication adherence. From the 1673 total survey respondents we learned that the most common places people store their medications at home are nightstand drawers (28%), on top of nightstands (27%), kitchen cabinets (22%), and bathroom medicine cabinets (20%). Kitchen cabinets and bathroom vanities were significantly associated with increased odds of having ever forgotten to take a medication. On the other hand, desks, dining room tables, and the inside of nightstand drawers were associated with the greatest statistically significant decrease in odds of having ever forgotten to take a medication. Almost all (96%) respondents were receptive to receiving guidance from healthcare providers on how to store medications. Patients are largely responsible for creating their own home medication management practices, including deciding where to store their medication at home. Understanding which home storage locations are associated with medication adherence can lead to innovative approaches to improve adherence, including personalized guidance to patients from their healthcare providers for patients.
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http://dx.doi.org/10.3390/bs14090804 | DOI Listing |
J Bras Pneumol
September 2025
. Departamento de Pneumologia do Hospital Infante D. Pedro, Unidade Local de Saúde da Região de Aveiro, Aveiro, Portugal.
Objectives: This study explores the relationship between inhaler visual identification, naming, and adherence outcomes, and evaluates the potential of combining these factors into a screening tool for identifying poor adherence.
Methods: This observational, prospective study included adult patients with COPD, asthma, or asthma+COPD who had been on chronic inhalation therapy for at least the past year. Data were collected through patient interviews and medical records.
Arq Gastroenterol
September 2025
Universidade Federal da Bahia, Faculdade de Medicina, Programa de Pós-graduação em Medicina e Saúde, Salvador, BA. Brasil.
Objective: Identify psychosocial risk factors for non-adherence to medication following liver transplantation.
Methods: We used the Medication Level Variability Index (MLVI) for the assessment of adherence in 52 subjects selected for a pre-transplant liver procedure and monitored them for 6 months following transplantation. Patients were divided into exposed and non-exposed groups according to adherence, and each group was analyzed using psychosocial variables: demographic characteristics, quality of life, impulsivity, resilience, anxiety and depression.
J Multidiscip Healthc
September 2025
School Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Background: Diabetes mellitus is a major health challenge among older adults in Asia. Challenges include limited healthcare access and poor self-care adherence. Continuity of care has emerged as a key strategy to enhance diabetes self-management in this population.
View Article and Find Full Text PDFGlob Ment Health (Camb)
July 2025
Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Problem-solving therapy (PST) is a brief psychological intervention often implemented for depression. Currently, there are no tools with well-evidenced reliability to measure PST fidelity. This pilot study aimed to measure the inter-rater reliability and agreement of the blem-Slving Therapy idelity (PROOF) scale, comprising binary 14-item adherence and an 8-item competence subscales.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Nursing Department, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.
Background: To explore the potential categories of compliance development track of dual antiplatelet therapy (DAPT) after percutaneous coronary intervention (PCI) in patients with acute coronary syndrome (ACS) using growth mixture modeling (GMM) to analyze its predictive factors, providing evidence for dynamic adherence monitoring and tailored interventions.
Methods: A total of 150 patients with ACS after PCI were selected by convenience sampling. Patients were studied using Self-Efficacy for Appropriate Medication Use Scale (SEAMS), family APGAR index (APGAR), Generalized Anxiety Disorder-2 (GAD-2), and Patient Health Questionnaire-2 (PHQ-2) at baseline.