A prospective study monitoring carer distress during (chemo)radiotherapy for head and neck cancer via an electronic platform

Wishart, Laurelie R; Brown, Bena; Nund, Rebecca L.; Fotinos, Elena; Hutchison, Alana; Ward, Elizabeth C.; Porceddu, Sandro

doi:10.1002/jmrs.448

Cited by 13 publications

(14 citation statements)

References 24 publications

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“…Recent investigations have also trialed the use of web-based screening tools for patients during (chemo)radiotherapy treatment, as well as their carers/family members. Such tools incorporate asynchronous store-and-forward features, whereby patients/carers enter data via related to side-effects (including dysphagia and associated sequelae), which are then collated and summarized for the multidisciplinary team to review and use to inform clinical intervention [ 74 , 75 ].…”

Section: Telepractice Can Be Used In Flexible Ways To Support Deliver...mentioning

confidence: 99%

Telepractice and Dysphagia Management: The Era of COVID-19 and Beyond

et al. 2022

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The COVID-19 pandemic drove rapid and widespread uptake of telepractice across all aspects of healthcare. The delivery of dysphagia care was no exception, with telepractice recognized as a service modality that could support social distancing/infection control, overcome service delivery challenges created by lockdowns/service closures, and address consumer concerns about attending in-person appointments. Now, almost two years since most services first rapidly deployed telepractice, it is time to reflect on the big picture, and consider how telepractice will continue as a service option that is sustained and integrated into mainstream dysphagia care. It is also timely to consider the research agenda needed to support this goal. To this end, in this paper we present 4 discussion topics, which raise key considerations for the current and future use of telepractice within adult and pediatric dysphagia services. These are (1) Dysphagia services must meet consumer and service needs; (2) Aspects of dysphagia services can be safely and reliably provided via telepractice; (3) Telepractice can be used in flexible ways to support the delivery of dysphagia services; and (4) Providing quality dysphagia services via telepractice requires planned implementation and evaluation. Then directions for future research are discussed. These considerations are presented to help shift perspectives away from viewing telepractice as simply a COVID-19 “interim-care solution”. Rather, we encourage clinicians, services, and researchers to embrace a future of “integrated care”, where traditional dysphagia services are combined with telepractice models, to enhance the quality of care provided to our clients.

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Section: Telepractice Can Be Used In Flexible Ways To Support Deliver...mentioning

confidence: 99%

Telepractice and Dysphagia Management: The Era of COVID-19 and Beyond

et al. 2022

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“…Clinical benefits have been associated with PROs [10][11][12][13]. While studies on care partner reporting are limited [19], there is evidence that care partners can identify early symptoms [14][15][16], and the use of a symptom reporting system may reduce caregiver distress [18].…”

Section: Discussionmentioning

confidence: 99%

“…Care partners' assessments of symptoms in survivors were similar with survivor self-reports, indicating that the care partner could serve as a proxy [16,17]. There is also evidence that using an electronic symptom reporting system decreases the emotional distress of care partners [18,19].…”

Section: Introductionmentioning

confidence: 94%

Development of a Mobile Health App (TOGETHERCare) to Reduce Cancer Care Partner Burden: Product Design Study

et al. 2021

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Background Approximately 6.1 million adults in the United States serve as care partners for cancer survivors. Studies have demonstrated that engaging cancer survivors and their care partners through technology-enabled structured symptom collection has several benefits. Given the high utilization of mobile technologies, even among underserved populations and in low resource areas, mobile apps may provide a meaningful access point for all stakeholders for symptom management. Objective We aimed to develop a mobile app incorporating user preferences to enable cancer survivors’ care partners to monitor the survivors’ health and to provide care partner resources. Methods An iterative information gathering process was conducted that included (1) discussions with 138 stakeholders to identify challenges and gaps in survivor home care; (2) semistructured interviews with clinicians (n=3), cancer survivors (n=3), and care partners (n=3) to identify specific needs; and (3) a 28-day feasibility field test with seven care partners. Results Health professionals noted the importance of identifying early symptoms of adverse events. Survivors requested modules on medication, diet, self-care, reminders, and a version in Spanish. Care partners preferred to focus primarily on the patient’s health and not their own. The app was developed incorporating quality-of-life surveys and symptom reporting, as well as resources on home survivor care. Early user testing demonstrated ease of use and app feasibility. Conclusions TOGETHERCare, a novel mobile app, was developed with user input to track the care partner’s health and report on survivor symptoms during home care. The following two clinical benefits emerged: (1) reduced anxiety among care partners who use the app and (2) the potential for identifying survivor symptoms noted by the care partner, which might prevent adverse events. Trial Registration ClinicalTrials.gov NCT04018677; https://clinicaltrials.gov/ct2/show/NCT04018677

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“…Precision cancer care is another example of the amalgamation of AI/ML algorithms and big cancer genomics data sets to identify or discover individual genetic or genomics diagnostic and/or prognostic factors, helping to charter personalized treatment plans [ 4 ]. The most successful application of AI in medicine is medical-imaging-based clinical diagnostic tools, where computer-vision approaches utilize the imaging data to obtain sensitive diagnostics [ 5 , 6 ]. Genetic data of the primary sequence type (DNA or RNA) have been explored rigorously with machine learning algorithms for the task of predicting/annotating various genomic elements, such as gene-structure prediction of intron splice sites, 3′ untranslated regions, promoters, and cis-regulatory elements [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis

Bokhari

Alhareeri

Aljouie

et al. 2022

Cells

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Cytogenetics laboratory tests are among the most important procedures for the diagnosis of genetic diseases, especially in the area of hematological malignancies. Manual chromosomal karyotyping methods are time consuming and labor intensive and, hence, expensive. Therefore, to alleviate the process of analysis, several attempts have been made to enhance karyograms. The current chromosomal image enhancement is based on classical image processing. This approach has its limitations, one of which is that it has a mandatory application to all chromosomes, where customized application to each chromosome is ideal. Moreover, each chromosome needs a different level of enhancement, depending on whether a given area is from the chromosome itself or it is just an artifact from staining. The analysis of poor-quality karyograms, which is a difficulty faced often in preparations from cancer samples, is time consuming and might result in missing the abnormality or difficulty in reporting the exact breakpoint within the chromosome. We developed ChromoEnhancer, a novel artificial-intelligence-based method to enhance neoplastic karyogram images. The method is based on Generative Adversarial Networks (GANs) with a data-centric approach. GANs are known for the conversion of one image domain to another. We used GANs to convert poor-quality karyograms into good-quality images. Our method of karyogram enhancement led to robust routine cytogenetic analysis and, therefore, to accurate detection of cryptic chromosomal abnormalities. To evaluate ChromoEnahancer, we randomly assigned a subset of the enhanced images and their corresponding original (unenhanced) images to two independent cytogeneticists to measure the karyogram quality and the elapsed time to complete the analysis, using four rating criteria, each scaled from 1 to 5. Furthermore, we compared the enhanced images with our method to the original ones, using quantitative measures (PSNR and SSIM metrics).

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A prospective study monitoring carer distress during (chemo)radiotherapy for head and neck cancer via an electronic platform

Cited by 13 publications

References 24 publications

Telepractice and Dysphagia Management: The Era of COVID-19 and Beyond

Telepractice and Dysphagia Management: The Era of COVID-19 and Beyond

Development of a Mobile Health App (TOGETHERCare) to Reduce Cancer Care Partner Burden: Product Design Study

ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis

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