| Literature DB >> 30769858 |
François Bertucci1, Anne-Gaëlle Le Corroller-Soriano2, Audrey Monneur-Miramon3, Jean-François Moulin4, Sylvain Fluzin5, Dominique Maraninchi6, Anthony Gonçalves7.
Abstract
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.Entities:
Keywords: cancer; digital; e-health; outpatient; telemedicine
Year: 2019 PMID: 30769858 PMCID: PMC6406853 DOI: 10.3390/cancers11020219
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1E-health and applications in oncology. The left panel contains different e-health tools and the right panel includes different applications of e-health in oncology.
Examples of studies published.
| Field | Study Type | Cancer or Subjects Type | Number of Subjects | E-Health Tools Involved | Main Results of the Experimental | Reference |
|---|---|---|---|---|---|---|
| Information Access | Randomized clinical trial, | Cutaneous cancer before Mohs micrographic surgery | 90 | Web applications and text messages for patient education | Reduction of patients’ preoperative anxiety | [ |
| Educating Health care professionals | Controlled clinical trial with concealed allocation, | Oncology health care professionals | 751 | Web-based | Improved learning with tailored, web-based learning style educational material | [ |
| Prevention | Randomized clinical trial, | Adults from the Knowledge Panel, 18 years or older who owned an Android smartphone | 604 | Mobile application providing personalized, real-time sun protection advice | Improved sun protection | [ |
| Prevention | Randomized clinical trial, | UK smokers willing to attempt quitting | 5800 | Periodic, motivational text messages on smartphones | Higher 6-month rate of biochemically-verified tobacco cessation | [ |
| Diagnosis | Prospective development of a non-invasive anemia screening tool | Patients with anemia of different etiologies and healthy subjects | 337 | Smartphone application and photos | Detection of anemia with an accuracy of ±2.4 g/dL (0.92 after personalized calibration) and a sensitivity of 97% when compared with blood count hemoglobin levels | [ |
| Diagnosis | Retrospective assessment of smartphone usage in telecytology | D | 172 | Smartphone photos transferred via WhatsApp® | High intraobserver Kappa agreement between microscopic diagnoses and smartphone image diagnoses; change in patient management in 11.4% of cases | [ |
| Treatment observance and tolerance | Randomized clinical trial, | Patients with metastatic breast cancer planning to receive chemotherapy | 76 | Smartphone-based mobile games | Better patient education, improved drug compliance, decreased side effects, and better quality of life | [ |
| Treatment tolerance | Randomized clinical trial, | Patients beginning chemotherapy | 358 | Symptom Care at Home (SCH) intervention | Reduction of clinical symptoms | [ |
| Treatment tolerance | Randomized clinical trial, | Patients receiving outpatient chemotherapy for advanced solid tumors | 766 | PRO tablet computers | Improvements in health-related quality of life at 6 months, fewer admissions to hospitals or emergency rooms, better overall and quality-adjusted survivals | [ |
| Follow-up and survival | Randomized clinical trial, | Patients with stage III/IV lung cancer | 121 | E-follow-up application (e-FAP) | Improved overall survival (median and 1-year overall survival); similar relapse rates, but better performance status at initial relapse, and better quality of life | [ |
Strenghts, Weaknesses, Opportunities, and Threats (SWOT) scheme of application of e-health in oncology.
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| - Novel and complex organization |
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| - Health care cost reduction |
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| - Patient–caregiver estrangement: feelings of loneliness and anxiety concerning the diseases and treatment toxicity |
Lines are to separate items related to patients (-more actors… etc.… until equal access to care) and items related to oncologists and hospitals.