Use Of eHealth Research Articles

Relations Between the Use of Electronic Health and the Use of General Practitioner and Somatic Specialist Visits in Patients With Type 1 Diabetes: Cross-Sectional Study.

BackgroundThe prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be of great value. However, little is known about the association between the use of eHealth and provider-based health care services among people with diabetes.ObjectiveThe objective of this study was to investigate the use of 4 different eHealth platforms (apps, search engines, video services, and social media sites) and associations with the use of provider-based health care visits among people diagnosed with type 1 diabetes mellitus (T1DM).MethodsWe used email survey data collected from 1250 members of the Norwegian Diabetes Association (aged 18 to 89 years) in 2018. Eligible for analyses were the 523 respondents with T1DM. Using descriptive statistics, we estimated the use of eHealth and the use of general practitioners (GPs) and somatic specialist outpatient services. By logistic regressions, we studied the associations between the use of these provider-based health services and the use of eHealth, adjusted for gender, age, education, and self-rated health.ResultsOf the sample of 523 people with T1DM, 90.7% (441/486) had visited a GP once or more, and 61.0% (289/474) had visited specialist services during the previous year. Internet search engines (such as Google) were used for health purposes sometimes or often by 84.0% (431/513), apps by 55.4% (285/514), social media (such as Facebook) by 45.2% (232/513), and video services (such as YouTube) by 23.3% (118/506). Participants aged from 18 to 39 years used all forms of eHealth more than people aged 40 years and older, with the exception of social media. The use of search engines was positively associated with the use of somatic specialist services (odds ratio 2.43, 95% CI 1.33-4.45). GP visits were not associated with any kind of eHealth use.ConclusionseHealth services are now widely used for health support and health information by people with T1DM, primarily in the form of search engines but often in the form of apps and social media as well. We found a positive association between the use of search engines and specialist visits and that people with T1DM are frequent users of eHealth, GPs, and specialist services. We found no evidence that eHealth reduces the use of provider-based health care; these services seem to be additional rather than alternative. Future research should focus on how health care services can meet and adapt to the high prevalence of eHealth use. Our results also indicate that many patients with T1DM do not visit specialist clinics once a year as recommended. This raises questions about collaboration in health care services and needs to be followed up in future research.

It’s important, but not important enough: eHealth as a curriculum priority in medical education in Australia

Information and communications technology has become central to the way in which health services are provided. Technology-enabled services in healthcare are often described as eHealth, or more recently, digital health. Practitioners may require new knowledge, skills and competencies to make best use of eHealth, and while universities may be a logical place to provide such education and training, a study in 2012 found that the workforce was not being adequately educated to achieve competence to work with eHealth. We revisited eHealth education and training in Australian universities with a focus on medical schools; we aimed to explore the progress of eHealth in the Australian medical curriculum. We conducted a national interview study and interpretative phenomenological analysis with participants from all 19 medical schools in Australia; two themes emerged: (i) consensus on the importance of eHealth to current and future clinical practice; (ii) there are other priorities, and no strong drivers for change. Systemic problems inhibit the inclusion of eHealth in medical education: the curriculum is described as ‘crowded’ and with competing demands, and because accrediting bodies do not expect eHealth competence in medical graduates, there is no external pressure for its inclusion. Unless and until accrediting bodies recognise and expect competence in eHealth, it is unlikely that it will enter the curriculum; consequently the future workforce will remain unprepared.

Use of eHealth and mHealth technology by persons with multiple sclerosis

BackgroundHealth communication has evolved substantially over the last few years as the field of electronic health (eHealth) technologies has emerged. It is unknown what demographic and clinical characteristics are associated with use of eHealth technologies in MS. As these technologies are more widely adopted in health settings, it is important that health care providers understand who is using them, and to recognize potential disparities if they exist. ObjectiveWe aimed to examine the use of eHealth technologies among persons with multiple sclerosis (MS), including the adoption of mobile Health (mHealth) applications (apps) and telehealth, perceived benefits of using mHealth apps, and sociodemographic and clinical characteristics associated with use of these technologies. MethodsIn the spring 2017, we surveyed participants in the North American Research Committee on Multiple Sclerosis (NARCOMS) Registry about their use of eHealth technologies using questions adapted from the Health Information National Trends (HINTS) 4 Cycle 4 survey. Participants reported their internet use, electronic devices used, use of health related software apps and perceived benefits from using those apps, and their interest in exchanging medical information with a health care professional electronically. We used descriptive statistics to report use of eHealth technologies and multivariable logistic regression to evaluate factors associated with use of electronic devices, use of mHealth apps, telehealth use, and perceived benefits of using mHealth apps. ResultsOf 6423 participants included in the analysis most participants were female, and white, with a mean (SD) age of 59.7 (10.1) years. Overall, 5408 (84.2%) had exchanged medical information with a health professional most often using a secure online portal (1839, 28.6%), followed by email (1327, 20.7%). of the 5529 smartphone and tablet users, 2556 (46.2%) used a mHealth app. Factors associated with a higher likelihood of reporting use of smartphones or tablets, mHealth apps and with perceived benefits of using these apps included online survey response, younger age, having comorbidities, and higher income and education levels. ConclusionUse of eHealth technologies is common in the MS population and facilitates the exchange of health care information with providers. Use of mHealth apps is perceived to have health benefits. However, use of eHealth and mHealth technologies varies substantially with sociodemographic factors, and health care providers need to be aware of these disparities as these technologies are increasingly leveraged in health care settings.

Examining the Influence of E-Health Education on Professional Practice.

e-Health is steadily integrating into modern health services, making significant changes in the way health services are traditionally delivered. To work in this new environment, healthcare workers are required to have new knowledge, skills and competencies specific to e-Health. The aim of this study was to understand the self-reported perceptions of graduates regarding the influence of an e-Health postgraduate program on their professional careers. In addition, this paper will provide an overview of the e-Health postgraduate program. All graduates from 2005 to 2015 were surveyed using an online questionnaire that consisted of a mixture of closed and open-ended questions. The number of participants in the study was 32. Response rate was 62%. The main motivating factors for studying e-Health were 'relevance to current practice' and 'e-Health is the future'. The participants noted that the opportunity to 'acquiring relevant knowledge' and 'having exposure' were key benefits offered by the e-Health education program. The majority of graduates (n = 23, 72%) thought that the postgraduate e-Health program had an influence on their professional practice. A similar number of participants (n = 23, 72%) mentioned that they had worked in the field of e-Health since their graduation. Their professional roles mainly involved 'implementation of e-Health in health service settings' and the 'use of e-Health in clinical practice'. While e-Health may be steadily integrating into modern health services, e-Health specific job opportunities are still relatively limited. e-Health workforce development must be given priority.

CN65 - How to monitor outpatients undergoing active anticancer treatment? A feasibility study of the web-based tool “Onco’nect®”

Background: Monitoring adverse effects (AEs) induced by antitumor therapies remain a clinical challenge for outpatients with cancer. Their delayed management might impair patient quality of life and lead to dose-lowering or discontinuation of treatment. The use of e-health may improve the communication between caregivers and patients, as well as the continuity of care. We assessed if Onco’nect®, a new digital follow-up tool, could be used easily by cancer outpatients undergoing active antitumor treatment in a routine clinical practice setting. Methods: Outpatients diagnosed with any type of cancer and undergoing intravenous or oral anticancer in the department of Medical Oncology of Creteil Teaching Hospital were eligible. No informatics knowledge was required for patients to be included in the study. At different times of each chemotherapy cycle, patients were sent a standardized 12-question survey assessing AEs. A chat was available for patients and caregivers to improve their communication. Grade ≥2 AEs, and deliberate requests of patients raised an alert system. Caregivers were notified of such events by emails and “red alerts” on the web-based interface. Results: Our study enrolled 51 patients, with distinct types of anticancer treatment (chemotherapy, oral therapy, immunotherapy and clinical trial therapy): 5 (9.8%) patients were over 75-year-old. Four patients could not use a computer or a smartphone but had a relative able to help. We called 21 (41.2%) patients at least once because they reported ≥ grade 2 AEs. We modified symptomatic treatments, or diet and lifestyle in 11 (21.6%) cases. Four patients deliberately raised the alert system, resulting in one hospitalization. The chat was used to: manage daily AEs, answer patients’ questions, send prescriptions, receive medical imaging and blood test results. After a 2-month use, all the patients asked reported that Onco’nect® was easy to use and clinically-efficient. Conclusions: Onco’nect® is a user-friendly web-based tool to monitor outpatients undergoing anticancer treatment. It can be integrated in a current practice in oncology, even with elderly patients. Onco’nect® might help to anticipate chemotherapy prescriptions and reduce the admission in emergency rooms. Legal entity responsible for the study: Service d'Oncologie Médicale, Hôpital Henri Mondor, AP-HP, Créteil. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

Use of information technology to support the oral care of older people living at home

The use of eHealth has increased rapidly in recent years and is also being deployed in several ways in care for older people. Little is still known, however, about the use and acceptance of oral care related applications of eHealth by older people. By means of interviews, qualitative research was carried out on the use of digital devices and the needs of older people living at home for oral care related information and instruction via eHealth. Results indicate that older people are technically capable of receiving and making use of this information via eHealth. Slightly more than half of those questioned were interested in receiving this information via an eHealth app. It was considered to be useful when reduced mobility hindered visits to the dentist. Furthermore, those questioned expressed the opinion that the healthcare they are familiar with and the personal contacts should not be replaced by unfamiliar digital alternatives.

Correction: The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway.

[This corrects the article DOI: 10.2196/publichealth.7009.].

The use of eHealth to promote physical activity in people with mental health conditions: a systematic review

Background: Achieving adequate amounts of physical activity (PA) confers important physical and mental health benefits. Despite this, people with mental health conditions often do not meet recommended levels of PA. eHealth, the delivery of health information through internet and mobile technologies, is an emerging concept in healthcare which presents opportunities to improve PA. The aim of this systematic review is to describe the use of eHealth to increase or monitor PA levels in people with mental health conditions. Methods: Databases searched included OVID Medline, EMBASE, PsychInfo and Web of Science using a combination of key-words and medical subject headings. Articles were included if they described an eHealth technology designed to improve or monitor PA in people with mental health conditions. Two reviewers screened articles. Articles included in the qualitative synthesis were screened for risk of bias using the Cochrane Risk of Bias Tool for experimental studies and Downs and Black Checklist for non-experimental studies. Results: Seven studies met the eligibility criteria. A variety of eHealth platforms designed to promote or monitor PA were described in these studies; web-based (n=4), web and mobile application (n=3) and e-mail-based (n=1), one study used both a web-based and mobile application. Three studies reported eHealth interventions significantly increased PA levels, however it is unclear if eHealth interventions are superior at promoting PA compared to conventional interventions. Four studies reported that higher levels of PA, measured using eHealth, were associated with better mental health profiles. Conclusion: eHealth interventions may be an innovative low-cost method to increase PA levels which may have knock-on effects on mental health outcomes. Although some of the included studies in this review demonstrated promising results, methodological restrictions and potential biases from using subjective measures of PA limit the interpretability of these results. Future research should evaluate this promising technology using well-designed trials.

Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography

Cardiac translational and rotational vibrations induced by left ventricular motions are measurable using joint seismocardiography (SCG) and gyrocardiography (GCG) techniques. Multi-dimensional non-invasive monitoring of the heart reveals relative information of cardiac wall motion. A single inertial measurement unit (IMU) allows capturing cardiac vibrations in sufficient details and enables us to perform patient screening for various heart conditions. We envision smartphone mechanocardiography (MCG) for the use of e-health or telemonitoring, which uses a multi-class classifier to detect various types of cardiovascular diseases (CVD) using only smartphone’s built-in internal sensors data. Such smartphone App/solution could be used by either a healthcare professional and/or the patient him/herself to take recordings from their heart. We suggest that smartphone could be used to separate heart conditions such as normal sinus rhythm (SR), atrial fibrillation (AFib), coronary artery disease (CAD), and possibly ST-segment elevated myocardial infarction (STEMI) in multiclass settings. An application could run the disease screening and immediately inform the user about the results. Widespread availability of IMUs within smartphones could enable the screening of patients globally in the future, however, we also discuss the possible challenges raised by the utilization of such self-monitoring systems.

The use of eHealth to promote physical activity in people with mental health conditions: a systematic review

Background: Achieving adequate amounts of physical activity (PA) confers important physical and mental health benefits. Despite this, people with mental health conditions often do not meet recommended levels of PA. eHealth, the delivery of health information through internet and mobile technologies, is an emerging concept in healthcare which presents opportunities to improve PA. The aim of this systematic review is to describe the use of eHealth to increase or monitor PA levels in people with mental health conditions. Methods: Databases searched included OVID Medline, EMBASE, PsychInfo and Web of Science using a combination of key-words and medical subject headings. Articles were included if they described an eHealth technology designed to improve or monitor PA in people with mental health conditions. Two reviewers screened articles. Articles included in the qualitative synthesis were screened for risk of bias using the Cochrane Risk of Bias Tool for experimental studies and Downs and Black Checklist for non-experimental studies. Results: Seven studies met the eligibility criteria. A variety of eHealth platforms designed to promote or monitor PA were described in these studies; web-based (n=4), web and mobile application (n=3) and e-mail-based (n=1), one study used both a web-based and mobile application. Three studies reported eHealth interventions significantly increased PA levels, however it is unclear if eHealth interventions are superior at promoting PA compared to conventional interventions. Four studies reported that higher levels of PA, measured using eHealth, were associated with better mental health profiles. Conclusion: eHealth interventions may be an innovative low-cost method to increase PA levels which may have knock-on effects on mental health outcomes. Although some of the included studies in this review demonstrated promising results, methodological restrictions and potential biases from using subjective measures of PA limit the interpretability of these results. Future research should evaluate this promising technology using well-designed trials.

The use of eHealth to promote physical activity in cancer survivors: a systematic review

Achieving adequate levels of physical activity (PA) and avoiding sedentary behaviour are particularly important in cancer survivors. eHealth, which includes, but is not limited to, the delivery of health information through Internet and mobile technologies, is an emerging concept in healthcare which may present opportunities to improve PA in cancer survivors. The aim of this systematic review was to explore the effects of eHealth in the promotion of PA among cancer survivors. Suitable articles were searched using PubMed, CINAHL, EMBASE, PsychInfo, Web of Science and SCOPUS databases using a combination of keywords and medical subject headings. Articles were included if they described an eHealth intervention designed to improve PA in cancer survivors. Two reviewers screened studies for inclusion. In total, 1065 articles were considered. Ten studies met eligibility criteria. A variety of platforms designed to increase PA were described in these studies: web application (app) (n = 5), web and mobile application (n = 2), mobile app (n = 1), website only (n = 1), e-mail based (n = 1). All studies measured PA using self-report outcome measures with the exception of one study which measured steps using a Fitbit. Meta-analysis was not performed because of variations in study design and interventions. All studies reported improvements in PA, with 8/10 studies reporting statistically significant changes. The use of eHealth to promote PA in cancer survivors is a relatively new concept, which is supported by the recent emergent evidence described in this review. eHealth shows promise as a means of promoting and increasing daily PA, but further high-quality, longer term studies are needed to establish the feasibility and effectiveness of eHealth platforms aimed at that goal.

EHealth as the Next-Generation Perinatal Care: An Overview of the Literature.

BackgroundUnrestricted by time and place, electronic health (eHealth) provides solutions for patient empowerment and value-based health care. Women in the reproductive age are particularly frequent users of internet, social media, and smartphone apps. Therefore, the pregnant patient seems to be a prime candidate for eHealth-supported health care with telemedicine for fetal and maternal conditions.ObjectiveThis study aims to review the current literature on eHealth developments in pregnancy to assess this new generation of perinatal care.MethodsWe conducted a systematic literature search of studies on eHealth technology in perinatal care in PubMed and EMBASE in June 2017. Studies reporting the use of eHealth during prenatal, perinatal, and postnatal care were included. Given the heterogeneity in study methods, used technologies, and outcome measurements, results were analyzed and presented in a narrative overview of the literature.ResultsThe literature search provided 71 studies of interest. These studies were categorized in 6 domains: information and eHealth use, lifestyle (gestational weight gain, exercise, and smoking cessation), gestational diabetes, mental health, low- and middle-income countries, and telemonitoring and teleconsulting. Most studies in gestational diabetes and mental health show that eHealth applications are good alternatives to standard practice. Examples are interactive blood glucose management with remote care using smartphones, telephone screening for postnatal depression, and Web-based cognitive behavioral therapy. Apps and exercise programs show a direction toward less gestational weight gain, increase in step count, and increase in smoking abstinence. Multiple studies describe novel systems to enable home fetal monitoring with cardiotocography and uterine activity. However, only few studies assess outcomes in terms of fetal monitoring safety and efficacy in high-risk pregnancy. Patients and clinicians report good overall satisfaction with new strategies that enable the shift from hospital-centered to patient-centered care.ConclusionsThis review showed that eHealth interventions have a very broad, multilevel field of application focused on perinatal care in all its aspects. Most of the reviewed 71 articles were published after 2013, suggesting this novel type of care is an important topic of clinical and scientific relevance. Despite the promising preliminary results as presented, we accentuate the need for evidence for health outcomes, patient satisfaction, and the impact on costs of the possibilities of eHealth interventions in perinatal care. In general, the combination of increased patient empowerment and home pregnancy care could lead to more satisfaction and efficiency. Despite the challenges of privacy, liability, and costs, eHealth is very likely to disperse globally in the next decade, and it has the potential to deliver a revolution in perinatal care.

ICD-11, ICHI and SNOMED CT-What do the standards mean for eHealth applications?

Medical documentation is no longer used primarily for administrative processes or healthcare billing, but for the entire electronic health record with accompanying eHealth use cases. It shall be examined to what extent classifications such as the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the International Classification of Health Interventions (ICHI), in comparison to the international reference terminology SNOMED CT, meet the requirements of current eHealth applications and ensure interoperability. The strengths and weaknesses of ICD-11 and ICHI are highlighted in terms of literature, contextual mapping within the international patient summary, telemedicine applications and the use in IT standards, such as HL7 in comparison to SNOMED CT. The whole range of medical terminology is not covered by ICHI and ICD-10, but with SNOMED CT, because ICD-11 and ICHI may be used in strict limitations to annotate procedures and diagnosis. A sample value set (n = 30) shows high mapping equivalence in SNOMED CT. In the literature, ICD-11 to SNOMED CT mappings are described as complex and error-prone. In terms of content expressivity and international usability, the potential of SNOMED CT in eHealth applications can be considered more favorable than ICD-11 or ICHI, even considering the original scope of these classifications, diagnoses and procedures. ICHI may even be recommended for specific use cases (e. g. statistics).

Electronic Health Use in the European Union and the Effect of Multimorbidity: Cross-Sectional Survey.

BackgroundMultimorbidity is becoming increasingly common and is a leading challenge currently faced by societies with aging populations. The presence of multimorbidity requires patients to coordinate, understand, and use the information obtained from different health care professionals, while simultaneously striving to distinguish the symptoms of different diseases and self-manage their sometimes conflicting health problems. Electronic health (eHealth) tools provide a means to disseminate health information and education for both patients and health professionals and hold promise for more efficient and cost-effective care processes.ObjectiveThe aim of this study was to analyze the use of eHealth tools, taking into account the citizens’ sociodemographic and clinical characteristics, and above all, the presence of multimorbidity.MethodsCross-sectional and exploratory research was conducted using online survey data from July 2011 to August 2011. Participants included a total of 14,000 citizens from 14 European countries aged 16 to 74 years, who had used an eHealth tool in the past 3 months. The variables studied were sociodemographic variables of the participants, the questionnaire items assessing the frequency of using eHealth tools, the degree of morbidity, and the eHealth adoption gradient. Chi-square tests were conducted to examine the relationship between the sociodemographic and clinical variables of participants and the group the participants were assigned to according to their frequency of eHealth use (eHealth user group). A one-way analysis of variance (ANOVA) allowed for assessing the differences in the eHealth adoption gradient average between different groups of individuals according to their morbidity level. A two-way between-groups ANOVA was performed to explore the effects of multimorbidity and age group on the eHealth adoption gradient.ResultsAccording to the eHealth adoption gradient, most participants (68.15%, 9541/14,000) were labeled as rare users, with the majority of them (55.1%, 508/921) being in the age range of 25 to 54 years, with upper secondary education (50.3%, 464/921), currently employed (49.3%, 454/921), and living in medium-sized cities (40.7%, 375/921). Results of the one-way ANOVA showed that the number of health problems significantly affected the use of eHealth tools (F2,13996=11.584; P<.001). The two-way ANOVA demonstrated that there was a statistically significant interaction between the effects of age and number of health problems on the eHealth adoption gradient (F4,11991=7.936; P<.001).ConclusionsThe eHealth adoption gradient has proven to be a reliable way to measure different aspects of eHealth use. Multimorbidity is associated with a more intense use of eHealth, with younger Internet users using new technologies for health purposes more frequently than older groups with the same level of morbidity. These findings suggest the need to consider different strategies aimed at making eHealth tools more sensitive to the characteristics of older populations to reduce digital disadvantages.

Ethics Certification of Health Information Professionals.

Summary Objectives: To provide a model for ensuring the ethical acceptability of the provisions that characterize the interjurisdictional use of eHealth, telemedicine, and associated modalities of health care delivery that are currently in place. Methods: Following the approach initiated in their Global Protection of Health Data project within the Security in Health Information Systems (SiHIS) working group of the International Medical Informatics Association (IMIA), the authors analyze and evaluate relevant privacy and security approaches that are intended to stem the erosion of patients' trustworthiness in the handling of their sensitive information by health care and informatics professionals in the international context. Results: The authors found that while the majority of guidelines and ethical codes essentially focus on the role and functioning of the institutions that use EHRs and information technologies, little if any attention has been paid to the qualifications of the health informatics professionals (HIPs) who actualize and operate information systems to deal with or address relevant ethical issues. Conclusion: The apparent failure to address this matter indicates that the ethical qualification of HIPs remains an important security issue and that the Global Protection of Health Data project initiated by the SiHIS working group in 2015 should be expanded to develop into an internationally viable method of certification. An initial model to this effect is sketched and discussed.

E-health tools in oncology nursing: Perceptions of nurses and contributions to patient care and advanced practice

As oncology nurses confront a rapidly evolving field with increased workplace pressure, the integration of evidence-based connected health platforms within practice presents promise. This study explores nurses' perceptions regarding the utility of e-health tools, with a focus on the Oncology Interactive Navigator (OINTM), as a potential contributor to their practice and interactions with patients. Focus groups with oncology nurses were conducted at two time points: prior to exposure to the OINTM (T1, n=8) and four weeks post unrestricted tool access (T2, n=7). Using qualitative constant comparison analysis, three themes emerged: (1) Key factors driving e-health use are multidimensional and evolving; (2) Dual role of e-health in meeting patient needs and supporting practice; (3) E-health as a catalyst for professional development and networking. E-health is appealing to oncology nurses, as it serves to advance practice and support patient care. Future research should explore best practices for optimal clinical implementation among all stakeholders involved.

Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care.

BackgroundElectronic health (eHealth) solutions are considered to relieve current and future pressure on the sustainability of primary health care systems. However, evidence of the effectiveness of eHealth in daily practice is missing. Furthermore, eHealth solutions are often not implemented structurally after a pilot phase, even if successful during this phase. Although many studies on barriers and facilitators were published in recent years, eHealth implementation still progresses only slowly. To further unravel the slow implementation process in primary health care and accelerate the implementation of eHealth, a 3-year Living Lab project was set up. In the Living Lab, called eLabEL, patients, health care professionals, small- and medium-sized enterprises (SMEs), and research institutes collaborated to select and integrate fully mature eHealth technologies for implementation in primary health care. Seven primary health care centers, 10 SMEs, and 4 research institutes participated.ObjectiveThis viewpoint paper aims to show the process of adoption of eHealth in primary care from the perspective of different stakeholders in a qualitative way. We provide a real-world view on how such a process occurs, including successes and failures related to the different perspectives.MethodsReflective and process-based notes from all meetings of the project partners, interview data, and data of focus groups were analyzed systematically using four theoretical models to study the adoption of eHealth in primary care.ResultsThe results showed that large-scale implementation of eHealth depends on the efforts of and interaction and collaboration among 4 groups of stakeholders: patients, health care professionals, SMEs, and those responsible for health care policy (health care insurers and policy makers). These stakeholders are all acting within their own contexts and with their own values and expectations. We experienced that patients reported expected benefits regarding the use of eHealth for self-management purposes, and health care professionals stressed the potential benefits of eHealth and were interested in using eHealth to distinguish themselves from other care organizations. In addition, eHealth entrepreneurs valued the collaboration among SMEs as they were not big enough to enter the health care market on their own and valued the collaboration with research institutes. Furthermore, health care insurers and policy makers shared the ambition and need for the development and implementation of an integrated eHealth infrastructure.ConclusionsFor optimal and sustainable use of eHealth, patients should be actively involved, primary health care professionals need to be reinforced in their management, entrepreneurs should work closely with health care professionals and patients, and the government needs to focus on new health care models stimulating innovations. Only when all these parties act together, starting in local communities with a small range of eHealth tools, the potential of eHealth will be enforced.

The use of eHealth to promote physical activity in patients with mental health conditions: a systematic review

Background: Achieving adequate amounts of physical activity (PA) confers important physical and mental health benefits. Despite this, individuals with mental health conditions often do not meet recommended levels of PA. eHealth, the delivery of health information through internet and mobile technologies, is an emerging concept in healthcare which presents opportunities to improve PA in people with mental conditions. The aim of this systematic review is to explore if eHealth interventions increase PA levels among individuals with mental health conditions. Methods: Databases searched included OVID Medline, EMBASE, PsychInfo and Web of Science using a combination of key-words and medical subject headings. Articles were included if they described an eHealth intervention designed to improve PA in individuals with mental health conditions. Two reviewers screened articles for inclusion. Results: In total 2,994 articles were identified. Seven studies met the eligibility criteria. A variety of eHealth platforms designed to increase PA were described in these studies; web-based (n=4), web and mobile application (n=3) and e-mail-based (n=1), one study used both a web-based and mobile application. Three studies reported eHealth intervention significantly increased PA levels. Four studies reported that higher levels of PA resulted in improvements in mental health outcomes. Conclusion: eHealth interventions may be an innovative low cost method to increase PA levels which may have knock-on effects on mental health outcomes. Although some of the included studies in this review demonstrated promising results, methodological restrictions and potential biases from using subjective measures of PA limit the interpretability of these results. Future research should evaluate this nascent technology using well designed trials.

Using eHealth to engage and retain priority populations in the HIV treatment and care cascade in the Asia-Pacific region: a systematic review of literature

BackgroundThe exponential growth in the reach and development of new technologies over the past decade means that mobile technologies and social media play an increasingly important role in service delivery models to maximise HIV testing and access to treatment and care. This systematic review examines the impact of electronic and mobile technologies in medical care (eHealth) in the linkage to and retention of priority populations in the HIV treatment and care cascade, focussing on the Asia-Pacific region.MethodsThe review was informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement from the Cochrane Collaboration guidelines. Both grey and published scientific literature from five different databases were searched for all original articles in English published from 2010 to 2017. Studies conducted outside the Asia-Pacific region or not including HIV priority populations were excluded. The methodological quality of studies included in the review was assessed using the Quality Assessment Tool for Quantitative Studies.ResultsThe database search identified 7309 records. Of the 224 peer-reviewed articles identified for full text review, 16 studies from seven countries met inclusion criteria. Six cross sectional studies found evidence to support the use of eHealth, via text messages, instant messaging, social media and health promotion websites, to increase rates of HIV testing and re-testing among men who have sex with men (MSM). Evidence regarding the efficacy of eHealth interventions to improve antiretroviral treatment (ART) adherence was mixed, where one randomised controlled trial (RCT) showed significant benefit of weekly phone call reminders on improving ART adherence. Three further RCTs found that biofeedback eHealth interventions that provided estimated ART plasma concentration levels, showed promising results for ART adherence.ConclusionsThis review found encouraging evidence about how eHealth can be used across the HIV treatment and care cascade in the Asia-Pacific region, including increasing HIV testing and re-testing in priority populations as well as ART adherence. eHealth interventions have an important role to play in the movement towards the end of AIDS, particularly to target harder-to-reach HIV priority populations, such as MSM.

Equality Challenges in the Use of eHealth: Selected Results from a Danish Citizens Survey.

The increased focus on and use of citizen/patient generated health data has spurred a wide range of personal health technology projects within digital intervention in health, e.g. telehealth. These developments are focused on objectives of improving health, but also claiming to provide health services at a lower cost. However, the question is: do the ways healthcare technologies are designed and developed support and improve healthcare services for those who need it the most? Survey data from our study point toward health informatics challenges in reaching the people who are considered in 'health risk' group, who, in this study, are interpreted as people with low level of education. The study shows that this group is less likely to use and communicate through health information technologies (HIT) and is generally more sceptical towards the benefits of HIT. We conclude that there is a need to pay specific attention to the patient groups that are socio-economically and health wise weakest during HIT design and development. It would also provide equality and equity in digital health intervention and access to healthcare for them in the future.