[eHealth and mHealth: current developments in 2014 and perspectives in oncology]

Exploring the factors influencing adherence to oral anticancer drugs in patients with digestive cancer: a qualitative study

PURPOSE

The aim of this study was to explore the beliefs, perceptions and representations of patients in order to identify the determinants of oral anticancer drugs adherence and to take action in current practice to improve patient support in digestive oncology.

METHODS

We constructed a semi-directed interview guide which aimed to explore the patient's relationship with medication, their health history, their experiences at the time of the announcement of treatment, their confidence, their fears, their motivations to adhere to their treatment and the constraints linked to their treatment. The data were analysed and discussed using a thematic approach.

RESULTS

Seventeen patients agreed to participate in the study. The median age was 60 years. Ten patients had colorectal cancer, 3 patients had hepatocellular carcinoma, 3 patients had gastrointestinal stromal tumour and 1 patient had neuroendocrine pancreatic tumour. We identified five categories of factors influencing adherence: demographic and socioeconomic, disease-related, treatment-related, care system-related, and patient representation and pathways' factors. A majority of patients emphasised the importance of family support in the adherence process and the convenience of per os treatment compared to other intravenous treatments. However, several negative determinants emerged such as the toxicity of the treatment, fears of forgetting to take the medication, difficulties with the galenic formulation and negative beliefs of the family.

CONCLUSION

This study demonstrates the need to address the different dimensions of the patient in order to understand his or her behaviour with regard to adherence and to identify the levers for improvement.

[E-consult®, an e-health application to improve breast cancer surgery patient's information]

INTRODUCTION

The use of new information and communication technologies is one way of better informing the patient. E-health includes telemedicine but also patient information and self-monitoring, or continuous remote monitoring with connected objects and mobile apps. It is in this context that we have developed and designed a digital application, e-consult®, which we use at the François Baclesse center, dedicated to improving information for patients. The objective of this study was to assess the performance of the e-consult® application in current practice, in order to know if the information delivered to patients was better retained with the application.

METHODS

We conducted a prospective, single-center study at the Cancer Center François Baclesse. One group was received in consultation with the use of e-consult®, the other without. Following the consultation, the patient was given a questionnaire concerning her illness and a satisfaction questionnaire concerning the application.

RESULTS

The average score obtained on the questionnaire in the group having benefited from a consultation with e-consult® (7.12/10) was significantly higher than that obtained in the group having benefited from a consultation without e-consult® (6.4/10) (P=0.0276).

CONCLUSION

Our study showed that patients understood better the information transmitted in consultation with the use of e-consult®. In our opinion, this is the only study evaluating an application in consultation. However, our study has several weaknesses, including the lack of randomization, a small number of patient, and unvalidated questionaries. Despite these promising results, more studies with better internal validity are needed. Future research may also study the impact of the application on the doctor-patient relationship.

[Acceptability of the use of mobile phones for HIV management in Togo]

OBJECTIVE

To describe the acceptability and factors associated with the use of mobile telephones in the care of people living with HIV (PLHIV) in Lomé, Togo.

METHOD

A cross-sectional study was conducted from January 5th to March 31st, 2018 in Lomé. PLHIV were recruited from the Department of Infectious and Tropical Diseases of the teaching hospital “CHU Sylvanus Olympio” and the NGO “Espoir Vie Togo”. Socio-demographic and clinical data, mobile phone possession and acceptability of communication with health professionals using a mobile phone were collected with a standardized questionnaire during a face-to-face interview.

RESULTS

A total of 259 PLHIV (79.6% women) were recruited. The mean age (± standard deviation) of PLHIV was 43.7 ± 9.8 years and the majority (95.4%) had a mobile phone. Almost all (98.1%) of respondents declared that mobile phone could be a means to maintain contact with a health professional. Phone calls (43.0%), text messages (SMS) (35.1%), and voice messages (20.0%) were the preferred means of communication with health professionals. Factors associated with the acceptability of receiving SMS from a health professional were age < 44 years and having at least a secondary level of education.

CONCLUSION

PLHIV are receptive to the integration of mobile technology into the management of their condition. M-health could be an opportunity to improve the management of HIV infection in Togo.

Intervention par visioconférence et dynamique groupale

Recourir à la visioconférence pour proposer des séances d’éducation, de soutien ou de psychothérapie en groupe est une des solutions pour faciliter l’accès aux soins de support. Très peu de données sont disponibles sur les spécificités interactionnelles que pourrait impliquer ce dispositif encore récent. L’article a pour objectif de rendre compte de la démarche de recherche exploratoire visant à construire une grille d’observation pour étudier cette question relationnelle à partir d’un dispositif d’ateliers thématiques collectifs mené en oncologie.

[E-health and "Cancer outside the hospital walls", Big Data and artificial intelligence]

To heal otherwise in oncology has become an imperative of Public Health and an economic imperative in France. Patients can therefore receive live most of their care outside of hospital with more ambulatory care. This ambulatory shift will benefit from the digital revolution and the development of digital health or e-health. Cancer research will also benefit with Big Data and artificial intelligence, which gather and analyze a huge amount of data. In this synthesis, we describe the different e-health tools and their potential impacts in oncology, at the levels of education and information of patients and caregivers, prevention, screening and diagnosis, treatment, follow-up, and research. A few randomized studies have already demonstrated clinical benefits. Large Big Data projects such as ConSoRe and Health Data Hub have been launched in France. We also discuss the issues and limitations of "cancer outside the hospital walls and e-health" from the point of view of patients, health care professionals, health facilities and government. This new organization will have to provide remote support "outside the walls" with care and follow-up of quality, continuous and prolonged in total safety and equity. Ongoing and future randomized clinical trials will need to definitively demonstrate areas of interest, advantages and drawbacks not only for patients, but also for caregivers, health facilities and governments.

[A partnership to favour patient self-determination in oncology]

Today's patients wish to establish a dialogue with the health professional and aspire to become partners in their care. A dedicated tool can help patients with cancer create such a partnership. Cooperative research to improve transitions in cancer care focused on this question.

Outpatient Cancer Care Delivery in the Context of E-Oncology: A French Perspective on "Cancer outside the Hospital Walls"

In oncology, the treatment of patients outside of hospitals has become imperative due to an increasing number of patients who are older and live longer, along with issues such as medical desertification, oncologist hyperspecialization, and difficulties in financing mounting health expenditures. Treatments have become less "invasive", with greater precision and efficiency. Patients can therefore receive most of their care outside of hospitals. The development of e-health can address these new imperatives. In this letter, we describe the different e-health tools and their potential clinical impacts in oncology, as already reported at every level of care, including education, prevention, diagnosis, treatment, and monitoring. A few randomized studies have yet demonstrated the clinical benefit. We also comment on issues and limits of "cancer outside the hospital walls" from the point of view of patients, health care professionals, health facilities, and public authorities. Care providers in hospitals and communities will have to adapt to these changes within well-coordinated networks in order to better meet patient expectations regarding increasing education and personalizing management. Ultimately, controlled studies should aim to definitively demonstrate areas of interest, benefits, and incentives, for not only patients, but also caregivers (formal and informal) and health care providers, health care facilities, and the nation.

[Implementation of a remote oncology-monitoring program for cancer patients in outpatient care unit: A major challenge for the different actors]

INTRODUCTION

The development of outpatient departments requires health professionals to reorganize practices for a better patient monitoring and a better patient care pathway.

OBJECTIVE

To evaluate, using indicators, the impact of an oncology-monitoring program on activity and organizational fluidity in a Cytotoxic Preparation Unit and clinical departments. Method the clinical and biological data are collected between two injections by calling the patient two days prior chemotherapy is performed by a specialist nurse of an outsourced medical call center. After medical and pharmaceutical validation, early preparations (D-1) for expensive and non-expensive molecules are performed.

RESULTS

The program is started in February 2016. After 3 months, 382 patients were included into the program. Twenty-three patients on average are called per day related to 1162 completed clinical questionnaires (87%). Among the files, 47% are complete at D-2 (biological and clinical data). The early preparation rate of expensive drugs, zero before the program for financial reasons, has reached 40% at 3 months. The destroyed preparation rate because of non-administration decreased from 5 to 2%.

DISCUSSION

Preliminary results show a significant patient compliance, feasibility of early preparation of expensive and non-expensive chemotherapy. These are preliminary results of a one-year study. They will be completed by an evaluation of patients' and health professionals' satisfaction, evaluation of length of stay, optimization of operations for clinical departments and CPU. The D-2 biological data collection must be improved. A strong doctor/pharmacist collaboration is essential for better patient care pathway.

Text-mining analysis of mHealth research

In recent years, because of the advancements in communication and networking technologies, mobile technologies have been developing at an unprecedented rate. mHealth, the use of mobile technologies in medicine, and the related research has also surged parallel to these technological advancements. Although there have been several attempts to review mHealth research through manual processes such as systematic reviews, the sheer magnitude of the number of studies published in recent years makes this task very challenging. The most recent developments in machine learning and text mining offer some potential solutions to address this challenge by allowing analyses of large volumes of texts through semi-automated processes. The objective of this study is to analyze the evolution of mHealth research by utilizing text-mining and natural language processing (NLP) analyses. The study sample included abstracts of 5,644 mHealth research articles, which were gathered from five academic search engines by using search terms such as mobile health, and mHealth. The analysis used the Text Explorer module of JMP Pro 13 and an iterative semi-automated process involving tokenizing, phrasing, and terming. After developing the document term matrix (DTM) analyses such as single value decomposition (SVD), topic, and hierarchical document clustering were performed, along with the topic-informed document clustering approach. The results were presented in the form of word-clouds and trend analyses. There were several major findings regarding research clusters and trends. First, our results confirmed time-dependent nature of terminology use in mHealth research. For example, in earlier versus recent years the use of terminology changed from "mobile phone" to "smartphone" and from "applications" to "apps". Second, ten clusters for mHealth research were identified including (I) Clinical Research on Lifestyle Management, (II) Community Health, (III) Literature Review, (IV) Medical Interventions, (V) Research Design, (VI) Infrastructure, (VII) Applications, (VIII) Research and Innovation in Health Technologies, (IX) Sensor-based Devices and Measurement Algorithms, (X) Survey-based Research. Third, the trend analyses indicated the infrastructure cluster as the highest percentage researched area until 2014. The Research and Innovation in Health Technologies cluster experienced the largest increase in numbers of publications in recent years, especially after 2014. This study is unique because it is the only known study utilizing text-mining analyses to reveal the streams and trends for mHealth research. The fast growth in mobile technologies is expected to lead to higher numbers of studies focusing on mHealth and its implications for various healthcare outcomes. Findings of this study can be utilized by researchers in identifying areas for future studies.

Mobile applications in oncology: is it possible for patients and healthcare professionals to easily identify relevant tools?

AIM

Mobile applications represent promising tools in management of chronic diseases, both for patients and healthcare professionals, and especially in oncology. Among the large number of mobile health (mhealth) applications available in mobile stores, it could be difficult for users to identify the most relevant ones. This study evaluated the business model and the scientific validation for mobile applications related to oncology.

METHODS

A systematic review was performed over the two major marketplaces. Purpose, scientific validation, and source of funding were evaluated according to the description of applications in stores. Results were stratified according to targeted audience (general population/patients/healthcare professionals).

RESULTS

Five hundred and thirty-nine applications related to oncology were identified: 46.8% dedicated to healthcare professionals, 31.5% to general population, and 21.7% to patients. A lack of information about healthcare professionals' involvement in the development process was noted since only 36.5% of applications mentioned an obvious scientific validation. Most apps were free (72.2%) and without explicit support by industry (94.2%).

CONCLUSIONS

There is a need to enforce independent review of mhealth applications in oncology. The economic model could be questioned and the source of funding should be clarified. Meanwhile, patients and healthcare professionals should remain cautious about applications' contents. Key messages A systematic review was performed to describe the mobile applications related to oncology and it revealed a lack of information on scientific validation and funding. Independent scientific review and the reporting of conflicts of interest should be encouraged. Users, and all health professionals, should be aware that health applications, whatever the quality of their content, do not actually embrace such an approach.

[Are cancer outpatients ready for e-medicine?]

INTRODUCTION

E-health offers new opportunities for improving cancer outpatients' monitoring. The aim of this study was to assess the level and the use of electronic communication tools owned by cancer outpatients currently undergoing antitumoral treatment.

METHODS

This observational study consecutively recruited patients undergoing treatment at two day hospital oncology units from 1st to 31 October 2015. Each patient completed one standardised, anonymous questionnaire.

RESULTS

Overall, 386 questionnaires were analysed, of which 244 and 142 patients were from each hospital. Of these patients, 73% had access to the Internet either directly or through a third party. More than 90% of the patients owned a mobile phone, and half of them had a smartphone with Internet access. An increasing age and the socioeconomic class level were significantly associated with the use of the Internet and of a smartphone. Half of the patients had accessed websites dedicated to health topics and a quarter had used mobile applications on health topics. One-third of those patients found these electronic tools helpful. After adjustment, an increasing age was significantly associated with a decreased use of such tools. The majority (87%) of the patients enjoyed receiving text message reminders from their hospital about their consultation schedule.

CONCLUSION

Three in four cancer outpatients under treatment have access to the Internet and half use websites dedicated to health topics, with an impact of the age and the socioeconomic class level. Developing e-communication tools between caregivers and patients might be considered to improve their home monitoring.

Use of mobile learning technology among final year medical students in Kenya

Introduction

Mobile phone penetration has increased exponentially over the last decade as has its application in nearly all spheres of life including health and medical education. This study aimed at assessing the use of mobile learning technology and its challenges among final year undergraduate students in the College of Health sciences, University of Nairobi.

Methods

This was a cross-sectional descriptive study conducted among final year undergraduate students at the University of Nairobi, College of Health Sciences. Self-administered, anonymous questionnaires were issued to all final year students in their lecture rooms after obtaining informed consent. Data on demographics, mobile device ownership and mobile learning technology use and its challenges was collected. Data entry and analysis was done using SPSS^®. Chi-square and t-test were used for bivariate analysis.

Results

We had 292 respondents; 62% were medical students, 16% were nursing students, 13% were pharmacy students and 9% were dental surgery students. The majority were female (59%) and the average age was 24 years. Eighty eight percent (88%) of the respondents owned a smart device and nearly all of them used it for learning. 64% of the respondents used medical mobile applications. The main challenges were lack of a smart device, lack of technical know-how in accessing or using apps, sub-optimal internet access, cost of acquiring apps and limited device memory.

Conclusion

Mobile learning is increasingly popular among medical students and should be leveraged in promoting access and quality of medical education.