Telemedicine Collaboration in Cancer Treatment: A Case Study at Brazilian National Cancer Institute

Author(s):  
Antônio Augusto Gonçalves ◽  
Carlos Henrique Fernandes Martins ◽  
José Geraldo Pereira Barbosa ◽  
Sandro Luís Freire de Castro Silva ◽  
Cezar Cheng
Small ◽  
2020 ◽  
Vol 16 (26) ◽  
pp. 2002044
Author(s):  
Chunyu Zhang ◽  
Liang Gao ◽  
Qing Yuan ◽  
Lina Zhao ◽  
Wenchao Niu ◽  
...  
Keyword(s):  

Author(s):  
Kathy J. Helzlsouer ◽  
Arti Patel Varanasi

Cancer treatment has become increasingly complex with the rapid development of new therapies and treatment modalities. Guidelines for optimum cancer treatment are produced by several organizations, but ensuring that the patient receives the treatment requires both provider awareness and patient support to follow a complex treatment plan. An individual diagnosed with cancer must simultaneously come to terms with the diagnosis, make difficult shared decisions about treatment with his or her provider, and commence treatment in a matter of a few days or weeks. Ensuring optimum treatment is an increasingly complex process that involves multiple people and steps. Well-documented disparities exist in the receipt of and adherence to appropriate treatment by demographic and social factors, such as age, race, ethnicity, socioeconomic status, and geography. This case study provides an example of how the process of providing optimum cancer treatment may be improved through a technology-enhanced navigation program.


2002 ◽  
Vol 20 (2) ◽  
pp. 545-556 ◽  
Author(s):  
Kathyrn Roche ◽  
Nancy Paul ◽  
Bobbi Smuck ◽  
Marlo Whitehead ◽  
Benny Zee ◽  
...  

PURPOSE: Increasingly, cancer treatment centers need to be able to estimate specific costs and resources associated with clinical trials. Because the time requirements of trial coordination and data collection are not well known, the Clinical Research Associates (CRA) Committee of the National Cancer Institute of Canada Clinical Trials Group carried out a multicenter study to measure trials’ task times and evaluate the effects of certain factors. METHODS: A data collection instrument was designed and validated before its implementation in the study. Eighty-three CRAs from 24 cancer treatment institutions across Canada collected timing observations of 41 tasks (156 subtasks). Information from all stages of trials activity (protocol management, eligibility and entry, treatment, and follow-up and final stage) was obtained, from initial negotiations to follow-up after study closure. RESULTS: After controlling for stage, phase and sponsor were found to be significant independent factors. Analysis within the stages showed similar patterns. New drug inclusion as a factor was confounded with phase. Industry-sponsored studies had significantly higher overall mean times than did local and cooperative group studies. Early-phase studies required more time than did phase III trials. External sponsorship of any kind increased CRA time more than that necessary for locally coordinated studies, except during the protocol management stage. The burden of a phase I study increased to greater than average once underway and accruing patients. CONCLUSION: Our data demonstrated that sponsor and study phase are important factors to be taken into consideration when estimating clinical trial costs and resource use.


2017 ◽  
Vol 35 (5_suppl) ◽  
pp. 177-177
Author(s):  
Francinne Lawrence ◽  
Brandon Reeves

177 Background: The Institute of Medicine report, From Cancer Patient to Cancer Survivor: Lost in Transition (2005) identified gaps in services for cancer patients upon completion of their initial phase of treatment. In response to these needs, the Commission on Cancer (CoC) (2015) defined survivorship as an official phase of treatment along the cancer care continuum. This case study examined the process of developing an integrative survivorship program that introduces complementary health approaches within a conventional oncology setting using limited financial resources. Methods: A case study design was applied to examine using complementary health approaches as the foundation of a newly implemented cancer survivorship program. A regional CoC accredited community was the research site. Data was collected from: empirical literature, a self-report inventory completed by participants, and archival data and was interpreted using the logic model framework. Results: Findings revealed that using a survivorship model with complementary health approaches as its foundation within a conventional cancer treatment facility resulted in positive outcomes for cancer survivors. Seven core concepts were identified as significant to the process of developing an integrative program. Findings also showed that using a volunteer-staffed program was an effective implementation plan within a lean economic environment. Additionally, this case demonstrated that complementary components resulted in self-reported improvements among cancer survivors in mood, pain, social connectedness, stress, fatigue, and coping capacity. Conclusions: Within this case study, there were seven elements significant to the process of successfully developing and implementing an integrative survivorship program within a conventional medical cancer setting. A cancer survivorship program that integrates complementary health approaches within a conventional cancer treatment facility appears efficacious in assisting cancer survivors in addressing long-term and late-onset side effects of cancer treatment. Using a volunteer-staffed program model was effective for implementing the program within a lean economic environment.


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