Tolerance to oral anticancer agent treatment in older adults with cancer: a secondary analysis of data from electronic health records and a pilot study of patient-reported outcomes.

BACKGROUND: More than 60% of cancer cases occur in older adults, and many are treated with oral anticancer agents. Yet, the treatment tolerability in older adults has not been fully understood due to their underrepresentation in oncology clinical trials, creating challenges for treatment decision-making and symptom management. The objective of this study was to investigate the tolerance of capecitabine, an example of oral chemotherapy, among older adults with cancer and explore factors associated with capecitabine-related side effects and treatment changes, to enhance supportive care. METHODS: A secondary analysis used combined data from electronic health records and a pilot study of patient-reported outcomes, with a total of 97 adult patients taking capecitabine during 2016-2017, including older adult patients aged 65 years or older (n = 43). The data extracted included patient socio-demographics, capecitabine information, side effects, and capecitabine treatment changes (dose reductions and dose interruptions). Bivariate correlations, negative binomial regression, and multiple linear regression were conducted for data analysis. RESULTS: Older adults were more likely to experience fatigue (86% vs. 51%, p = .001) and experienced more severe fatigue (ß = 0.44, p = 0.03) and hand-foot syndrome (HFS) (ß = 1.15, p = 0.004) than younger adults. The severity of fatigue and HFS were associated with the number of outpatient medications (ß = 0.06, p = 0.006) and the duration of treatment (ß = 0.50, p = 0.009), respectively. Correlations among side effects presented different patterns between younger and older adults. Although more older adults experienced dose reductions (21% vs. 13%) and dose interruptions (33% vs. 28%) than younger adults, the differences were not statistically different. Female sex, breast cancer diagnosis, capecitabine monotherapy, and severe HFS were found to be associated with dose reductions (p-values < 0.05). CONCLUSIONS: Older adults were less likely to tolerate capecitabine treatment and had different co-occurring side effects compared to younger adults. While dose reductions are common among older adults, age 65 years or older may not be an independent factor of treatment changes. Other socio-demographic and clinical factors may be more likely to be associated. Future studies can be conducted to further explore older adults' tolerance to a variety of oral anticancer agents to generate more evidence to support optimal treatment decision-making and symptom management.

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review.

BACKGROUND: Accurate measurement and monitoring of patient medication adherence is a global challenge because of the absence of gold standard methods for adherence measurement. Recent attention has been directed toward the adoption of technologies for medication adherence monitoring, as they provide the opportunity for continuous tracking of individual medication adherence behavior. However, current medication adherence monitoring technologies vary according to their technical features and data capture methods, leading to differences in their respective advantages and limitations. Overall, appropriate criteria to guide the assessment of medication adherence monitoring technologies for optimal adoption and use are lacking. OBJECTIVE: This study aims to provide a narrative review of current medication adherence monitoring technologies and propose a set of technology assessment criteria to support technology development and adoption. METHODS: A literature search was conducted on PubMed, Scopus, CINAHL, and ProQuest Technology Collection (2010-present) using the combination of keywords medication adherence, measurement technology, and monitoring technology. The selection focused on studies related to medication adherence monitoring technology and its development and use. The technological features, data capture methods, and potential advantages and limitations of the identified technology applications were extracted. Methods for using data for adherence monitoring were also identified. Common recurring elements were synthesized as potential technology assessment criteria. RESULTS: Of the 3865 articles retrieved, 98 (2.54%) were included in the final review, which reported a variety of technology applications for monitoring medication adherence, including electronic pill bottles or boxes, ingestible sensors, electronic medication management systems, blister pack technology, patient self-report technology, video-based technology, and motion sensor technology. Technical features varied by technology type, with common expectations for using these technologies to accurately monitor medication adherence and increase adoption in patients' daily lives owing to their unobtrusiveness and convenience of use. Most technologies were able to provide real-time monitoring of medication-taking behaviors but relied on proxy measures of medication adherence. Successful implementation of these technologies in clinical settings has rarely been reported. In all, 28 technology assessment criteria were identified and organized into the following five categories: development information, technology features, adherence to data collection and management, feasibility and implementation, and acceptability and usability. CONCLUSIONS: This narrative review summarizes the technical features, data capture methods, and various advantages and limitations of medication adherence monitoring technology reported in the literature and the proposed criteria for assessing medication adherence monitoring technologies. This collection of assessment criteria can be a useful tool to guide the development and selection of relevant technologies, facilitating the optimal adoption and effective use of technology to improve medication adherence outcomes. Future studies are needed to further validate the medication adherence monitoring technology assessment criteria and construct an appropriate technology assessment framework.

A Concept Analysis of Oral Anticancer Agent Self-management.

BACKGROUND: The rapid development and adoption of oral anticancer agents (OAAs) for cancer management have shifted patients' roles from recipient to owner of their care delivery, assuming their responsibilities for self-managing their OAA treatments at home, while the concept of oral anticancer agent self-management (OAA-SM) has not been well clarified and defined. OBJECTIVE: This study was to clarify the concept of OAA-SM and identify major components, influential factors, and consequences of OAA-SM, as well as propose a representative conceptual model of OAA-SM. METHODS: A literature review was conducted concerning the concept and application of OAA-SM. The Walker and Avant method for concept analysis was utilized to guide the examination of OAA-SM. RESULTS: OAA-SM is a multifaceted and dynamic process that requires continuous adaptation by patients as multiple self-management challenges can emerge throughout OAA treatments. The defining attributes of OAA-SM include OAA adherence, adverse-effect self-management, patient-provider communication, and OAA safe storage, handling, and administration practices. Oral anticancer agent-SM is potentially influenced by a variety of patient-related, OAA-related, and healthcare system factors. Effective OAA-SM is associated with better patient and healthcare outcomes. CONCLUSIONS: The clarification of the concept of OAA-SM and the identification of attributes of OAA-SM and their interrelationships contribute to the body of knowledge in OAA-SM. IMPLICATIONS FOR PRACTICE: This concept analysis provides the foundation to increase healthcare providers' understanding of patients' needs for OAA-SM support and guides the development of patient-centered interventions to empower and engage patients and their families in effective OAA-SM, and improve patients' quality of life and care.