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Patient-Centered Innovations, Education and Technology for Cancer Care, Cancer Survivorship and Cancer Research
JMIR Cancer (JC) is a Pubmed-indexed, peer-reviewed journal with a focus on education, innovation and technology in cancer care, cancer survivorship and cancer research, as well as in participatory and patient-centred approaches. A sister journal of the Journal of Medical Internet Research (JMIR), a leading eHealth journal (Impact Factor 2016: 5.175), the scope of JC is broader and includes non-Internet approaches to improve cancer care and cancer research.
We invite submission of original research, viewpoints, reviews, tutorials, case studies, and non-conventional articles (e.g. open patient education material and software resources that are not yet evaluated but free for others to use/implement).
In our "Patients' Corner", we invite patients and survivors to submit short essays and viewpoints on all aspects of cancer, but in particular suggestions on how to improve the health care system, and suggestions for new technologies, applications and approaches (no article processing fees).
JC is open access and all articles are published under a Creative Commons Attribution license. JC has been accepted for indexing in PubMed Central and Pubmed.
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Background: Catabolism and tumor-specific therapy lead to a reduced nutrient intake and weight loss in cancer patients. Maintaining a specific individualized diet can be challenging for the patient as...
Background: Catabolism and tumor-specific therapy lead to a reduced nutrient intake and weight loss in cancer patients. Maintaining a specific individualized diet can be challenging for the patient as the nutritional counseling options are limited. The monitoring of nutrient intake and frequent feedback are, however, vital for a successful nutritional therapy as they support the patient’s compliance and realization of dietary therapeutic goals. This study aims at investigating the feasibility and applicability of a novel smartphone application to assess and evaluate dietary behaviors in oncological patients. Objective: This study aims at investigating the feasibility and applicability of a novel smartphone application to assess and evaluate dietary behaviors in oncological patients. Methods: To determine dietary habits and food preferences in oncological patients, initially 1400 nutritional records were evaluated and analyzed. The results provided the basis for creating a nutritional smartphone app. Key requirements for the app included: simple handling, recording the daily intake and a comparison of nutrient-targets and the current status. In total, 39 cancer patients were included in the study. Firstly, all patients received a nutritional anamnesis, a nutritional analysis and nutritional counseling. An individual energy and nutrient aim was defined. The intervention group (n = 12) additionally used the app. Weight and body composition of each group were evaluated after four weeks. Results: The protein intake in the app group was tendentially better opposed to the control group (p = 0.064). In the controls, there was a decrease in macronutrient intake during the study period. The app group achieved a significant weight gain (p = 0.045). Especially the skeletal muscle mass showed a significant increase of in the app group (p = 0.009) compared to the control group. Conclusions: Our study indicates that patients who daily document their dietary habits by using a smartphone app are more likely to reach their nutritional goals than the control patients. Further large-scale studies are needed to confirm these initial findings and to test the applicabilty on a broader basis.
Background: Longer patient intervals can lead to more late-stage cancer diagnoses and higher mortality rates. Individuals may delay presenting to primary care with red flag symptoms, and instead turn...
Background: Longer patient intervals can lead to more late-stage cancer diagnoses and higher mortality rates. Individuals may delay presenting to primary care with red flag symptoms, and instead turn to the internet to seek information, purchase over-the-counter medication, and change their diet or exercise habits. With advancements in machine learning, there is potential to explore this complex relationship between patient’s symptom appraisal and the first consultation at primary care through linkage of existing datasets (e.g. health, commercial, online). Objective: Here, we aimed to explore feasibility and acceptability of symptom appraisal using commercial and health data linkages for cancer symptom surveillance. Methods: A proof-of-concept study was developed to assess general public’s acceptability of commercial and health data linkages for cancer symptom surveillance using a qualitative focus group study and to investigate self-management behaviours of ovarian cancer patients using high street retailer data pre and post diagnosis. Results: Using a high street retailer data, 1 118 purchases (April 2013 to July 2017) of 11 ovarian cancer patients and one healthy individual were analysed. There was a unique presence of purchases for pain and indigestion medication prior to cancer diagnosis which could signal disease in a larger sample. Qualitative findings suggest that the public are willing to consent to commercial and health data linkages as long as their data is safeguarded and users are transparent about their purposes. Conclusions: Cancer symptom surveillance using commercial data is feasible and also acceptable to the general public. To test efficacy of cancer surveillance using commercial data, larger studies are needed with links to the individual electronic health records.