Mobile health applications for the care of patients with breast cancer: A scoping review

Cai, Tingting; Huang, Yueshi; Zhang, Yuxia; Lu, Zhenqi; Huang, Qingmei; Yuan, Changrong

doi:10.1016/j.ijnss.2021.07.003

Cited by 26 publications

(22 citation statements)

References 37 publications

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“…Presently, the patients described the Interaktor app as providing extra support during the treatment period by having easy access to self-care advice, information, and contact with the nurse if the symptoms were severe. The results are in line with those of the recent reviews where patients with cancer experienced apps as supportive tools that complemented or extended existing health care [39,40].…”

Section: Principal Findingssupporting

confidence: 89%

Patients’ Experiences of Care With or Without the Support of an Interactive App During Neoadjuvant Chemotherapy for Breast Cancer: Interview Study

Fjell¹,

Langius‐Eklöf²,

Nilsson³

et al. 2022

JMIR Nursing

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Background Neoadjuvant chemotherapy (NACT) is often recommended for patients with breast cancer with more aggressive tumor characteristics. As with all chemotherapies, they can cause substantially disturbing symptoms. Most patients receive their treatment as outpatients, which means that they must take responsibility for self-care and management of symptoms at home for a long period. Patients with breast cancer undergoing chemotherapy may not receive sufficient support for management of treatment-related symptoms. For patients undergoing NACT, it has been concluded that information and supportive needs are not always met. In our previous study, the use of mobile health to support patients with breast cancer undergoing NACT reduced symptoms during treatment with the support of an interactive app. Therefore, it is important to investigate how patients experience their care and explore any specific contribution that the app may have brought in care. Objective This study aims to explore patients’ experiences of care with or without the support of an interactive app during NACT for breast cancer. Methods This qualitative study was part of a larger randomized controlled trial and included 40 individual face-to-face interviews conducted with patients in both intervention and control groups after the end of NACT. The interviews were audio recorded, and the data were analyzed inductively using thematic analysis. Results No major differences in experience of care were observed between the groups. A total of 4 overarching themes emerged. In the first theme, The health care context, patients described care as assessible, although sometimes there was a lack of time and continuity with nurses. In the second theme, Being a recipient of care, it emerged that the patients experienced a warm and positive atmosphere at the clinics. In the third theme, Taking an active role as a patient, patients described being active in searching for information and various ways of participation in their own care. In the fourth theme, The value of the app, patients who had used the app experienced it as a complementary source of information, creating a sense of security. Using the app provided patients with the support of being contacted by a nurse if needed, enabled self-care, and facilitated the planning of daily activities. Conclusions Overall, patients’ experiences of care were similar and mostly positive. However, for patients using the app, it provided additional support for information and self-care and enhanced participation in their own care. The easy access to a nurse gave patients a sense of security. The findings suggest integrating an interactive app as a complement to standard care to support patients with breast cancer during treatment. International Registered Report Identifier (IRRID) RR2-DOI: 10.1186/s12885-017-3450-y

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Section: Principal Findingssupporting

confidence: 89%

Patients’ Experiences of Care With or Without the Support of an Interactive App During Neoadjuvant Chemotherapy for Breast Cancer: Interview Study

Fjell¹,

Langius‐Eklöf²,

Nilsson³

et al. 2022

JMIR Nursing

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“…Thus, developing mHealth apps for leukemia cancer patients requires consideration of patient needs, characteristics, and data on patient-reported outcomes. Additionally, mHealth apps for leukemia cancer treatment should be developed through cooperative efforts involving patients, nurses, and other important health professionals [9].…”

Section: Methodsmentioning

confidence: 99%

“…Only 4 applications claimed that their content had been reviewed by medical professionals. Unfortunately, it was di cult to nd leukemia cancer apps that allowed users to keep track of their visits, prescriptions, treatments, side effects, and ongoing discomfort [9].…”

Section: %mentioning

confidence: 99%

Leu-Life: A Smart Application for Leukemia Cancer Patients Based on Machine Learning

Elhishi

Alzeky

El-Metwally

et al. 2022

Preprint

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Leukemia cancer poses a risk to life as acute or chronic leukemia can manifest themselves more severe symptoms. The most frequent type of leukemia cancer is acute lymphoblastic leukemia (ALL). ALL affects about 20% of adult leukemias and presents in 80% of childhood leukemias. ALL diagnosing is very complex that requires labor-intensive, sophisticated procedures. One of the most important criteria of a healthcare system is to give the patient the best possible care based on an examination of their medical history, lifestyle choices, and any molecular trait variability. Several intelligent technologies that are based on machine learning and data-driven methods have been developed to address these problems. this paper examines statistical and machine learning methods. We also provide a trustworthy cloud-based data storage paradigm and a safe Android-based architecture for gathering patient data. The paper introduces the Leu-Life, a m-health android application that uses machine learning methods to detect leukemia cancer along with providing a set of features that helps in managing and facilitating life of leukemia cancer patients. The discussion will conclude with a predictive algorithm that may categorize leukemia cancer based an input of a blood file.

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“…Research done by Cai et al [32] further emphasize on the need of having patients, nurses, and healthcare professionals to collaborate in the design of a mHealth app. Uncertainty is a common factor in general healthcare and knowing how to navigate it is quite useful in any health technology [33].…”

Section: The Impact Of Mobile Health Applications For Cancermentioning

confidence: 99%

Understanding the perception and requirements of a plant-based nutrition app for cancer patients

Dalayya

Elsaid

et al. 2022

Preprint

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Understanding human perception and requirements on nutrition for cancer prevention and condition management is important so that nutrition applications can be catered for cancer patients. In this paper, web-scraping was conducted to understand the public’s perception, attitude and requirements related to a plant-based diet as a recommended diet for cancer prevention and condition management. Text and sentiment analysis were carried out on results gathered from 73 social sites to determine whether non-cancer and cancer patients use plant-based diets, how they have been consumed, their benefits in the prevention and condition management of cancers, the existing myths/fake news about cancer and what do cancer patients need in a nutrition app. Results of the text analysis highlight missing gaps in existing apps to include a lack of credibility and endorsement by professionals. Future nutrition apps should provide personalized diet, symptoms management, good user experience, credibility, and emotional and mental health support.

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Mobile health applications for the care of patients with breast cancer: A scoping review

Cited by 26 publications

References 37 publications

Patients’ Experiences of Care With or Without the Support of an Interactive App During Neoadjuvant Chemotherapy for Breast Cancer: Interview Study

Patients’ Experiences of Care With or Without the Support of an Interactive App During Neoadjuvant Chemotherapy for Breast Cancer: Interview Study

Leu-Life: A Smart Application for Leukemia Cancer Patients Based on Machine Learning

Understanding the perception and requirements of a plant-based nutrition app for cancer patients

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