Patient Prefer Adher
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Patient Prefer Adher · Jan 2023
Patient Willingness to Use Digital Health Technologies: A Quantitative and Qualitative Survey in Patients with Cancer Cachexia.
The objective of this study was to gain insights into the patients' perspectives on the impact of cancer cachexia on physical activity and their willingness to wear digital health technology (DHT) devices in clinical trials. ⋯ Most patients reported physical activity limitations since the occurrence of weight loss compatible with cancer-associated cachexia. Walking distance, sleep and quality of walk were the most meaningful activities to moderately improve, and patients consider moderate physical activity as meaningful. Finally, this study population found the proposed wear of DHT devices on the wrist and around the waist acceptable for the duration of clinical studies.
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Patient Prefer Adher · Jan 2023
Barriers and Facilitators of Adherence to Oral Anticancer Medications Among Women with Breast Cancer: A Qualitative Study.
Despite the life-saving benefits of oral anticancer medications (OAMs) to women with breast cancer (BC), adherence remains suboptimal and, in many cases, not well documented. The study examined barriers and facilitators of adherence to OAMs among women receiving BC treatment in Nigeria. ⋯ Barriers and facilitators to OAM adherence are multidimensional. The study findings highlight the potential benefit of a multifaceted intervention (such as patient education and monitoring or strategies promoting cost-containment and side effects management) to optimize adherence. Therefore, our findings may inform the designing and evaluating of context-specific adherence measures and multifaceted intervention strategies targeting key barriers and approaches that enable adherence to enhance patient outcomes.
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Patient Prefer Adher · Jan 2023
A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis.
This study aims to identify the novel risk predictors of low medication adherence of cirrhosis patients in a large cohort and construct an applicable predictive model to provide clinicians with a simple and precise personalized prediction tool. ⋯ This study identified predictive factors regarding low medication adherence among patients with cirrhosis, and a predictive nomogram was constructed. This model could help clinicians identify patients with a high risk of low medication adherence and intervention measures can be taken in time.
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Patient Prefer Adher · Jan 2023
Patient and Physician Preferences for Acute Myeloid Leukemia Maintenance Treatments Following Hematopoietic Stem Cell Transplantation.
This study assessed and compared preferences for treatment attributes of maintenance therapies post-hematopoietic stem cell transplantation (HSCT) in patients with acute myeloid leukemia (AML) and in physicians who treat these patients. ⋯ Differences in how patients and physicians valued post-HSCT maintenance treatment attributes were identified. These differences suggest that patient-centered decision-making may help physicians choose maintenance treatments for patients with AML post HSCT that better meet their treatment needs and improve their treatment satisfaction.
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Patient Prefer Adher · Jan 2023
Exploring the Important Determinants Shaping Treatment Preferences: Qualitative Insights into Breast Cancer Patient Experiences and Perspectives in New Zealand.
Despite the importance of acknowledging patient preferences in treatment decision-making, little is known about the treatment preferences and the factors underlying those preferences of breast cancer patients. This study aims explore patient experience and perspective regarding treatment preferences and identify the important determinants that shape these preferences in the context of New Zealand. ⋯ Our study reveals that breast cancer patients in New Zealand have different perceptions and preferences regarding cancer treatment. Patients frequently find themselves making trade-offs among various attributes of a treatment, aligning these decisions with their personal values and beliefs. By considering these preferences and trade-offs in future studies that measure patient preferences, healthcare professionals can enhance their support for patients in making informed choices that align with their values and priorities. Additionally, healthcare policymakers can develop patient-centered policies that cater to the unique needs and preferences of breast cancer patients.