6 research outputs found

    Do treatment patterns alter beliefs cancer patients hold regarding oral oncolytic agents?

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    ObjectiveCancer patients, particularly those prescribed with oral oncolytic medications, face treatment side effects and temporary and permanent stoppages of treatment. This research examines how events during treatment affect patients’ beliefs regarding oral oncolytic medications.MethodsA total of 272 cancer patients initiating 1 of 28 oral oncolytic agents were followed for 12 weeks. Assessments of Beliefs About Medications Questionnaire, symptoms, physical function, and depression measures were performed during telephone interviews at intake (medication start) and 4, 8, and 12 weeks. Electronic medical record audits identified dates of temporary and permanent medication stoppages. Linear mixed‐effects models were used for longitudinal analyses of the Beliefs About Medications Questionnaire scores in relation to patient characteristics, symptom severity, and medication stoppages.ResultsOver the initial 12 weeks, beliefs about the necessity of oral medications have increased, concerns have decreased, and interference of medications with daily lives has increased. Permanent stoppage of a medication predicted significant declines in beliefs about its necessity over time. Male patients, those less educated, those reporting higher symptom severity, and those experiencing temporary stoppages had greater concerns. Interference of medications with daily life was higher for males, increased with higher symptom severity, and differed by drug category.ConclusionsPatients’ beliefs in the necessity of their oral medication were affected only by a permanent drug stoppage. Symptom severity, education, and patient sex affected patients’ beliefs about their concerns with their medications and the interference medications posed for their daily lives. Interventions may need to target the distinct dimensions of beliefs during treatment with oral oncolytic agents.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142470/1/pon4606.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142470/2/pon4606_am.pd

    Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI

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    The main goal of this paper is to employ longitudinal trajectories in a significant number of sub-regional brain volumetric MRI data as statistical predictors for Alzheimer's disease (AD) classification. We use logistic regression in a Bayesian framework that includes many functional predictors. The direct sampling of regression coefficients from the Bayesian logistic model is difficult due to its complicated likelihood function. In high-dimensional scenarios, the selection of predictors is paramount with the introduction of either spike-and-slab priors, non-local priors, or Horseshoe priors. We seek to avoid the complicated Metropolis-Hastings approach and to develop an easily implementable Gibbs sampler. In addition, the Bayesian estimation provides proper estimates of the model parameters, which are also useful for building inference. Another advantage of working with logistic regression is that it calculates the log of odds of relative risk for AD compared to normal control based on the selected longitudinal predictors, rather than simply classifying patients based on cross-sectional estimates. Ultimately, however, we combine approaches and use a probability threshold to classify individual patients. We employ 49 functional predictors consisting of volumetric estimates of brain sub-regions, chosen for their established clinical significance. Moreover, the use of spike-and-slab priors ensures that many redundant predictors are dropped from the model

    Medication burden of treatment using oral cancer medications

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    Objective: With the changes in healthcare, patients with cancer now have to assume greater responsibility for their own care. Oral cancer medications with complex regimens are now a part of cancer treatment. Patients have to manage these along with the management of medications for their other chronic illnesses. This results in medication burden as patients assume the self-management. Methods: This paper describes the treatment burdens that patients endured in a randomized, clinical trial examining adherence for patients on oral cancer medications. There were four categories of oral agents reported. Most of the diagnoses of the patients were solid tumors with breast, colorectal, renal, and gastrointestinal. Results: Patients had 1u4 pills/day for oral cancer medications as well as a number for comorbidity conditions (3), for which they also took medications (10u11). In addition, patients had 3.7u5.9 symptoms and side effects. Patients on all categories except those on sex hormones had 49%u57% drug interruptions necessitating further medication burden. Conclusions: This study points out that patients taking oral agents have multiple medications for cancer and other comorbid conditions. The number of pills, times per day, and interruptions adds to the medication burden that patients' experience. Further study is needed to determine strategies to assist the patients on oral cancer medications to reduce their medication burden.National Cancer Institute, an institute of the National Institutes of Health [1R01CA162401-01A1. 2013-2017]Open access journal.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]
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