Natural Oral Anticancer Medication in Small Ethanol Nanosomes Coated with a Natural Alkaline Polysaccharide

2020 ◽  
Vol 12 (14) ◽  
pp. 16159-16167 ◽  
Author(s):  
Jing Zhao ◽  
Yuan Li ◽  
Dan He ◽  
Xueyuan Hu ◽  
Kailing Li ◽  
...  

2019 ◽  
Vol 28 (8) ◽  
pp. 3897-3904
Author(s):  
Audrey Chouinard ◽  
Danielle Charpentier ◽  
Stéphane Doucet ◽  
Christine Messier ◽  
Marie-France Vachon


2018 ◽  
Vol 48 (6) ◽  
pp. 509-515 ◽  
Author(s):  
Aimee E. Byrne ◽  
Grace M. Redmayne ◽  
Thanh Lam ◽  
Jenny Tran ◽  
Daisy K. Chan


2017 ◽  
Vol 13 (1) ◽  
pp. e29-e36 ◽  
Author(s):  
Jennifer L. Niccolai ◽  
Danielle L. Roman ◽  
Justin M. Julius ◽  
Rachelle W. Nadour

Purpose: To determine the amount of time elapsed between prescriber order and patient receiving oral anticancer medication. Patients and Methods: Adult patients with a diagnosis of cancer were prospectively identified in three outpatient oncology clinics when oral anticancer agents were prescribed during a 4-month observation period. For each patient, time to obtain medication was analyzed by the following time points: date of prescription, date of submission to insurance, date prior authorization was obtained, date financial assistance was received, date prescription was processed by pharmacy, and date patient received medication. Out-of-pocket cost and time spent by clinic staff to facilitate the medication acquisition process were recorded. Results: Thirty-four patients were prescribed oral anticancer medication during the data collection period. For the 27 patients who were eligible for the primary end point, medication acquisition required a median of 10 days (range, 3 to 28 days). Overall, the rate-limiting step for medication acquisition was processing by the pharmacy, with a median of 6 days (range, 1 to 27 days). Most patients’ prescription insurance plan covered a portion of medication cost, and the majority of patients considered their out-of-pocket expense to be affordable. Clinic staff spent a median of 2 hours per prescription to facilitate medication acquisition. Conclusion: Patients may encounter process barriers in acquiring oral therapy, particularly because of pharmacy processing time, as well as high copays. Time to treatment initiation may have implications for patients’ clinical outcomes. Adequate staff with dedicated time to facilitate this process should be used in the ambulatory oncology practice setting.





2017 ◽  
Vol 33 (6) ◽  
pp. 1306-1313 ◽  
Author(s):  
Eskinder Eshetu Ali ◽  
Jo Lene Leow ◽  
Lita Chew ◽  
Kevin Yi-Lwern Yap


2018 ◽  
Vol 25 (2) ◽  
pp. 390-397 ◽  
Author(s):  
Eskinder Eshetu Ali ◽  
Sharlene Si Ling Chan ◽  
Jo Lene Leow ◽  
Lita Chew ◽  
Kevin Yi-Lwern Yap

Background Widespread adoption by patients is imperative for the success of app-based interventions for enhancing adherence to oral anticancer medications. Patients' attitudes and beliefs should be evaluated to understand determinants of their acceptance and adoption of such interventions. Objective To identify factors that influence cancer patients' intention to adopt an app-based system for enhancing oral anticancer medication adherence. Methods This study was conducted as part of the usability evaluation of an app-based system for enhancing adherence. We followed the grounded theory approach employing audio-recorded face-to-face interviews for data collection from patients taking oral anticancer medications (n = 15) and caregivers of such patients (n = 3). Data analysis involved verbatim transcription of all interviews, coding of the transcripts and field notes, detailed memo writing, and constant comparative evaluation of emergent categories. Results A conceptual framework of facilitating and hindering factors for users' adoption intention for an oral anticancer medication adherence app was developed. Findings suggest that facing difficulties in maintaining adherence and patients' perceived superiority of the app over their current methods facilitate adoption intention. In contrast, having to pay, lack of language options and users' perception of low competence in using an app were the hindrance factors. Conclusion This study showed that adoption of adherence apps could be explained by technology acceptance constructs, such as performance expectancy. Adoption intention was also facilitated by patients perceived vulnerabilities in maintaining adherence to their medications, which was a health behaviour construct. Implementation of app-based programs should address patients' perceived vulnerabilities and relative advantage of the app over their current methods. Clinicians and app developers should also consider the financial, technological and language barriers for end users.



2019 ◽  
Vol 18 (5) ◽  
pp. 22-28
Author(s):  
Melanie Dalby ◽  
Shereen Nabhani-Gebara ◽  
Ranjita Dhital ◽  
Ian Norman


2018 ◽  
Vol 45 (5) ◽  
pp. 597-606 ◽  
Author(s):  
Victoria Marshall ◽  
Eric Vachon ◽  
Barbara Given ◽  
Rebecca Lehto


Author(s):  
Kevin Yi-Lwern Yap ◽  
Eskinder Eshetu Ali ◽  
Leow Jo Lene ◽  
Lita Chew


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