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Background: Managing medications for Alzheimer's disease and related dementias is challenging for caregivers. Information about caregivers' strategies to manage these challenges is needed to inform intervention development. Objective: This study aimed to understand caregivers' medication management experiences by analyzing online community discussions. Methods: Posts were extracted from the ALZConnected® Forum using keywords "medication" and "drug" via web scraping. The researchers applied thematic analysis. Results: Four major themes emerged: (1) role transition of medication management responsibilities, (2) caregivers' uncertainty about medication purpose and values, (3) conflicts between the care recipients and caregivers, and (4) difficulty accessing and affording medications. Conclusions: The experiences shared on a non-moderated, unstructured online forum indicate that medication management is challenging and overwhelming for caregivers of people living with Alzheimer's disease and related dementias. Since this is a progressive disease with various stages and changing needs, caregivers' strategies vary and are often limited by available resources and support. Health care providers should offer training and support for caregivers to navigate the transfer of medication management responsibilities and changing care needs as the disease progresses. [ABSTRACT FROM AUTHOR]

Introduction: Little is known about COVID-19 impact on patient medication management. Research Question: The aim was to describe medication management, healthcare team interactions, and adherence during the COVID-19 pandemic in kidney transplant patients and those on the kidney transplant wait list. Design: Using a descriptive, correlational design 340 adults from a midwestern US transplant program were recruited. The Managing Medications in the Midst of a Pandemic Survey measured healthcare team encounters and medication management. The Basel assessment of adherence to medications scale measured medication adherence. Results: The response rate was 35% (119/340). During the pandemic, 88% had practiced/were currently practicing socially distancing, 85% had worn/were currently wearing a face mask in public, 18% had been/were currently diagnosed with COVID-19 and 82% received the vaccine. Medication management: 76% planned and organized their own medications. Healthcare team interactions: 89% met in the office, 20% via phone, 12% telehealth, and 13% delayed seeing a healthcare provider because of COVID-19 concerns. Pharmacy interactions: 11% changed their method of obtaining medications from pharmacy due to social distancing. Medication adherence implementation was problematic with 19% missing a dose; results from the binary logistic regression suggested that those with higher levels of education were more likely to report missing a dose. Conclusions: Patients acted to prevent COVID-19 but some still contracted the virus. The pandemic changed healthcare team medication management interactions. Adherence implementation problems were nearly 20%. Findings are relevant to the transplant healthcare team to understand the impact of a pandemic on patient/team interactions and medication adherence. [ABSTRACT FROM AUTHOR]

Purpose: Before the COVID-19 pandemic and the disruptions it brought, medication adherence was already a challenging and complex health behavior. The purpose of this study was to describe patients' interactions in clinic, pharmacy, and home contexts and associated medication management and adherence during the early phase of the COVID-19 pandemic. Patients and Methods: A survey questionnaire was developed using the Medication Adherence Context and Outcomes framework and distributed via social media between May and July 2020 targeting adults taking a daily prescribed medication. Survey questions assessed sociodemographics, interactions with healthcare providers, clinics, pharmacies, medication management experiences, habit strength, and life chaos perceptions during the pandemic. Medication adherence was assessed by the self-report BAASIS© scale to measure implementation, discontinuation, and overall nonadherence. Results: A total of 134 adults from the United States, mean age 50.0 (SD 16.1) years were included in this analysis. Respondents took a median of 3.50 (interquartile range 4) daily medications. Delays in seeing a provider were reported by 47 (35.1%). Pharmacy encounters were impacted; 25 (18.7%) indicated their method for obtaining medication changed. Medication nonadherence was reported among 62 (46.3%) and was significantly greater among those who delayed prescription refills (p=0.032), pillbox users (p=0.047), and those who experienced greater life chaos (p=0.040) and lower habit strength (p< 0.001) in the early phase of the pandemic. Conclusion: Although the early phase of the pandemic affected access to care for nearly one-third of the sample, distance-accessible care options and strategies to obtain needed services without being in-person supported respondents medication management. Helpful strategies included provider accessibility, telehealth, home delivery/mail-order, drive-thru's, 90-day supplies, and online/automatic refills. Methods to develop and reestablish habits are critical. Care providers in clinic and pharmacy settings can educate and remind patients about services like distance-accessible technologies and online ordering of medications and establishing routines to support medication adherence. [ABSTRACT FROM AUTHOR]

Poor medication adherence is a significant problem, yet interventions to improve it have been largely ineffective. Existing ecological models indicate that adherence is multi-dimensional; however, they do not reflect understanding of context-specific processes and how they lead to adherence outcomes. A framework that reflects context-specific processes is important because it could be used to inform context-specific intervention delivery and measure associated adherence outcomes. The purpose of this paper is to describe the Medication Adherence Context and Outcomes (MACO) framework, which includes contexts (ie, clinics, pharmacies, and home) and context-specific processes (ie, shared decision-making, prescription filling strategies, home medication management) that lead to adherence outcomes (initiation, implementation, discontinuation, and persistence). The Medication and Adherence Contexts and Outcomes (MACO) framework was iteratively developed between 2015 and 2018 based on theory, practice, and research and combining patient experience journey mapping to chronologically describe the environmental contexts and actions (processes) that occur within the contexts and how they contribute to medication adherence as outcome. The three distinct yet interrelated contexts described in the MACO framework are 1) clinical encounters, 2) pharmacy encounters, and 3) day-to-day home management. Within these contexts are specific medication management actions that occur (processes) in order to produce adherence-related outcomes (initiation, implementation, and discontinuation/persistence). The MACO framework distinguishes context-specific processes and outcomes. The MACO framework may be useful to understand at which point(s) along the continuum people experience problems with managing medications. This understanding is potentially useful for developing and delivering context-specific interventions that are based on processes that underlie nonadherence and selecting adherence measures appropriate for the contexts. [ABSTRACT FROM AUTHOR]

This study reports the development and psychometric testing of the Kidney Transplant Self-Management Scale (KT-SMS). The instrument development phase included the following: (a) conceptual definition, item generation, and framework; (b) face validity assessment; and (c) content validity assessment. The psychometric testing phase included the following: (a) construct validity testing; (b) internal consistency reliability testing; (c) convergent validity testing; and (d) predictive power of the KT-SMS using a cross-sectional sample of kidney transplant recipients (N = 153). Factor analysis results supported the 16-item KT-SMS as multidimensional with five domains (medication adherence, cardiovascular risk reduction, protecting kidney, ownership, and skin cancer prevention). Internal consistency reliability for the total scale and five subscales was adequate. Convergent validity was supported as the intercorrelations of the KT-SMS total score with the five subscales were significant. The KT-SMS total score and five subscales were significantly correlated with self-efficacy for managing chronic disease, patient activation, and health-related quality of life. [ABSTRACT FROM AUTHOR]

There is a need for a psychometrically-informed model identifying attitudinal and social factors explaining adherence to oral endocrine therapy (OET) for women with hormone receptor positive breast cancer. This study tested a model with variables selected by stringent psychometric criteria, including attitudes about benefit and burden, patient-practitioner alliance and confusion, and positive and negative interpersonal interactions. Self-report scales were completed by 150 current or past OET users. Fourteen correlations and six mediated pathways implied by the model were tested. All hypothesized associations were significant. This preliminary study suggests the model is a valuable framework for OET adherence research and intervention. [ABSTRACT FROM AUTHOR]

The SystemCHANGE™ intervention has led to great improvements in medication adherence, which is a challenge for nearly one-third of kidney transplant recipients. This secondary data analysis sought to measure the frequency of individual solutions utilized by participants in a previously conducted randomized controlled trial of the SystemCHANGE™ intervention and to determine which classes of solutions had greatest impact on improved medication adherence. Solutions that were significant predictors of improving medication adherence to the 85% or higher level included alarm cues (p ≤ 0.0001), time cues (p = 0.006), restructuring the physical environment (p = 0.048), and social support (p = 0.023). Alarm and time cues, restructuring the environment, and social support were successful solutions largely influenced by personal routine and environment consideration that might be prioritized in future studies when implementing SystemCHANGE™. [ABSTRACT FROM AUTHOR]