Use Of eHealth Research Articles

P94: Co-design of a theory-based implementation plan for a digital holistic assessment and decision support framework for people with dementia in care homes

Background:Despite positive findings around the use of eHealth in dementia care, evidence for its efficacy is insufficient to ensure its adoption into routine care. Early involvement of end-users in the design of an implementation plan is a key strategy for promoting translation of findings into practice.Objective:This study aimed to identify the requirements for use of an eHealth intervention to support assessment and decision making for use with people with dementia in care homes, and co-design strategies for its implementation.Methods:A qualitative co-design method was applied through a series of workshops. Participants included family carers of people with dementia, and health and social care practitioners with direct experience of working with people with dementia. The workshops focused on identifying requirements for use and co-developing implementation strategies in response to factors identified to influence implementation. A deductive thematic analytic approach was taken, guided by the key concepts of the Normalisation Process Theory.Results:Three workshops were conducted from July’21-November’21, attended by 39 participants. Three overarching phases of requirements were identified: 1) incentivising adoption of eHealth; 2) enabling operation of an eHealth intervention; 3) sustaining use of eHealth. Initial adoption requires promotion of the interventions benefits to engage stakeholders, and its alignment with national recommendations for good quality dementia care. Operationalising eHealth involves ensuring its compatibility with current care home processes and technology, provision of sufficient training and support from ‘champions’. To sustain its use, ongoing monitoring of the implementation plan and provision of feedback to allow stakeholders to appraise its effects is required.Conclusions:Implementing eHealth across a complex system of care homes is a multifaceted process. Using the key requirements identified in the workshops, we have developed a multi-strategy plan centered around three phases of implementation, to promote uptake of eHealth to support assessment and decision making for people with dementia in care homes. This is strengthened through collaborating with end-users to increases its value, credibility and real-world relevance. The theoretically informed strategies target mechanisms previously demonstrated to shape the implementation process and outcomes, ready for testing in care homes.

Experiences and Priorities in Youth and Family Mental Health: Protocol for an Arts-Based Priority-Setting Focus Group Study.

During the COVID-19 pandemic, eHealth services enabled providers to reach families despite widespread social distancing restrictions. However, their rapid adoption often occurred without community partners' involvement and without an understanding of how they prioritize aspects of their mental health and associated service provision, both of which promote family and community-centered health care delivery. Establishing priorities in health care is essential for developing meaningful and reliable health services. As such, there is an urgent need to understand how eHealth service users, especially families who may have historically faced oppression and systemic barriers to service access, can best benefit from them. Arts-based approaches can elicit an understanding of priorities by providing an engaging and expressive means of moving beyond readily expressible discursive language and stimulating meaningful dialogue reflective of participants' lived experiences. The purpose of this research is to determine the priorities and preferences of youth; parents or caregivers; newcomers and immigrants; and Indigenous community members regarding the use of eHealth in supporting their mental health using an innovative arts-based priority-setting method. This study uses a mixed-methods approach combining qualitative, quantitative, and arts-based research. It follows a survey used to identify key knowledge partners who are interested in improving eHealth services for mental health support in Manitoba, Canada. Knowledge partners interested in group-based priority setting will be contacted to participate. We will facilitate approximately two focus groups across each subgroup of youth, parents or caregivers, newcomers or immigrants, and Indigenous community members using an integrative, quantitatively anchored arts-based method termed the "Circle of Importance" to understand participants' mental health priorities and how eHealth or technology may support their mental well-being. The Circle of Importance involves placing small objects, whose meaning is determined by participants, on a visual board with concentric circles that correspond to a 5-point Likert scale of importance. Following each focus group, we will evaluate participants' and focus group facilitators' experiences of the Circle of Importance using a survey and follow-up structured in-person interviews to garner how we can improve the arts-based approach used in the focus groups. The PRIME (Partnering for Research Innovation in Mental Health through eHealth Excellence) theme received institutional ethics approval on August 23, 2023. Data collection is projected for August 2023, with follow-up focus groups occurring in early 2024 as required. Data analysis will occur immediately following data collection. Findings will directly inform a multiyear applied research agenda for PRIME aimed at improving mental health services through engaging key knowledge partners. The results may inform how arts-based methods in a priority setting can reflect aspects of experience beyond the capacities of qualitative or quantitative methods alone, and whether this approach aligns well with a positive experience of research participation. PRR1-10.2196/50208.

The impact of eHealth on relationships and trust in primary care: a review of reviews

BackgroundGiven the increasing integration of digital health technologies in team-based primary care, this review aimed at understanding the impact of eHealth on patient-provider and provider-provider relationships.MethodsA review of reviews was conducted on three databases to identify papers published in English from 2008 onwards. The impact of different types of eHealth on relationships and trust and the factors influencing the impact were thematically analyzed.ResultsA total of 79 reviews were included. Patient-provider relationships were discussed more frequently as compared to provider-provider relationships. Communication systems like telemedicine were the most discussed type of technology. eHealth was found to have both positive and negative impacts on relationships and/or trust. This impact was influenced by a range of patient-related, provider-related, technology-related, and organizational factors, such as patient sociodemographics, provider communication skills, technology design, and organizational technology implementation, respectively.ConclusionsRecommendations are provided for effective and equitable technology selection, application, and training to optimize the impact of eHealth on relationships and trust. The review findings can inform providers’ and policymakers’ decision-making around the use of eHealth in primary care delivery to facilitate relationship-building.

EHealth profile of patients with diabetes

Abstract Background Digital health technology can be useful to improve the health of patients with diabetes, to support patient-centered care, and self-management. In this cross-sectional study, we described the eHealth profile of patients with diabetes, based on their use of digital health technology, and its association with sociodemographic characteristics. Methods We used data from the “Qualité Diabète Valais” cohort study, conducted in one region of Switzerland (Canton Valais) since 2020. Participants with type 1 or type 2 diabetes completed questionnaires on sociodemographic characteristics and on the use of digital health technology. We defined eHealth profiles based on three features, i.e., ownership or use of 1) internet-connected devices (smartphone, tablet, or computer), 2) mHealth applications, and 3) connected health tools (activity sensor, smart weight scale, or connected blood glucose meter). We assessed the association between sociodemographic characteristics and participants’ eHealth profiles using stratified analyses and logistic regression models. Results 398 participants (38% women) with a mean age of 65 years were included. The vast majority (94%) were Swiss citizens or bi-national; 14% had a primary level education, 51% a secondary level, and 32% a tertiary level. Some 75% of participants had type 2 diabetes. Some 90% of the participants owned internet-connected devices, 43% used mHealth applications, and 44% owned a connected health tool. Older age and a lower educational level were associated with lower odds of all features of the eHealth profile. Conclusions While most participants owned internet-connected devices, only about half of them used mHealth applications or owned connected health tools. Older participants and those with a lower educational level were less likely to use digital health technology. eHealth implementation strategies need to consider these sociodemographic patterns among patients with diabetes. Key messages • eHealth use among patients with diabetes was associated with younger age and higher education. • eHealth strategies need to consider that patients at higher risk of complications are those who use eHealth the least.

Physician perspectives on chronic pain management: barriers and the use of eHealth in the COVID-19 era

BackgroundChronic pain is a highly prevalent and disabling condition which is often undertreated and poorly managed in the community. The emergence of COVID-19 has further complicated pain care, with an increased prevalence of chronic pain and mental health comorbidities, and burnout among physicians. While the pandemic has led to a dramatic increase in virtual health care visits, the uptake of a broader range of eHealth technologies remains unclear. The present study sought to better understand physicians’ current needs and barriers in providing effective pain care within the context of COVID-19, as well as gauge current use, interest, and ongoing barriers to eHealth implementation.MethodsA total of 100 practicing physicians in British Columbia, Canada, completed a brief online survey.ResultsThe sample was comprised of physicians practicing in rural and urban areas (rural = 48%, urban = 42%; both = 10%), with the majority (72%) working in family practice. The most prominent perceived barriers to providing chronic pain care were a lack of interdisciplinary treatment and allied health care for patients, challenges related to opioid prescribing and management, and a lack of time to manage the complexities of chronic pain. Moreover, despite expressing considerable interest in eHealth for chronic pain management (82%), low adoption rates were observed for several technologies. Specifically, only a small percentage of the sample reported using eHealth for the collection of intake data (21%), patient-reported outcomes (14%), and remote patient monitoring (26%). The most common perceived barriers to implementation were cost, complexity, and unfamiliarity with available options.ConclusionsFindings provide insight into physicians’ ongoing needs and barriers in providing effective pain management during the COVID-19 pandemic. Despite the potential for eHealth technologies to help address barriers in pain care, and strong interest from physicians, enhanced useability, education and training, and funding are likely required to achieve successful implementation of a broader range of eHealth technologies in the future.

The (cost) effectiveness of a very low-energy diet intervention with the use of eHealth in patients with type 2 diabetes and obesity: study protocol for a randomised controlled non-inferiority trial (E-diet trial)

BackgroundDespite preventive measures, the number of people with type 2 diabetes and obesity is increasing. Obesity increases morbidity and mortality in people with type 2 diabetes, making weight loss a cornerstone of treatment. We previously developed a very low energy diet (VLED) intervention that effectively reduced weight in people with type 2 diabetes in the long term. However, this intervention requires considerable time and manpower, which reduces the number of people who can benefit from it. eHealth offers more efficient solutions but has proven to be less effective than face-to-face interventions. Therefore, we want to investigate whether a blended version of our VLED intervention (in which face-to-face contact is partly replaced by an eHealth (mobile) application (E-VLED)) would be more cost-effective than the current face-to-face intervention.MethodsWe will conduct a randomised, controlled trial with non-inferiority design in patients with type 2 diabetes and obesity (BMI > 30 kg/m2), aged 18–75 years. The control group will receive the usual care VLED intervention, while the intervention group will receive the E-VLED intervention for 1 year, where face-to-face contact will be partly replaced by an eHealth (mobile) application. The main study endpoint is the difference in weight (% change) between the control and intervention group after 1 year, plus the difference between the total costs (euro) of the treatment in the control and intervention groups. The secondary aims are to investigate the effectiveness of the E-VLED diet intervention regarding cardiovascular risk factors, quality of life, patient satisfaction, compliance, and to study whether there is a difference in effectiveness in pre-specified subgroups. General linear models for repeated measurements will be applied for the statistical analysis of the data.DiscussionWe hypothesise that the E-VLED intervention will be equally effective compared to the usual care VLED but lower in costs due to less time invested by the dietician. This will enable to help more people with type 2 diabetes and obesity to effectively lose weight and improve their health-related quality of life.Trial registrationNetherlands Trial Register, NL7832, registered on 26 June 2019.

Older Adults' Experiences With Participation and eHealth in Care Coordination: Qualitative Interview Study in a Primary Care Setting.

Owing to the demographic changes in the elderly population worldwide, delivering coordinated care at home to multimorbid older adults is of great importance. Older adults living with multiple chronic conditions need information to manage and coordinate their care. eHealth can be effective for gaining sufficient information, communicating, and self-managing chronic conditions. However, incorporating older adults' health preferences and ensuring active involvement remain challenging. More knowledge is needed to ensure successful participation and eHealth use in care coordination. This study aimed to explore multimorbid older adults' experiences with participation and eHealth in care coordination with general practitioners (GPs) and district nurses (DNs). The study had a qualitative explorative approach. Data collection included semistructured interviews with 20 older adults with multimorbidity receiving primary care services from their GPs and DNs. The participants were included by their GPs or nurses at a local intermunicipal acute inpatient care unit. The data analysis was guided by systematic text condensation. We identified 2 categories: (1) older adults in charge of and using eHealth in care coordination, and (2) older adults with a loss of control in care coordination. The first category describes how communication with GPs and DNs can facilitate participation, the importance of managing own medication, and how eHealth can support older adults' information needs. The second category focuses on older adults who depend on guidance and help from their GPs and DNs to manage their health, describing how a lack of capacity and system support to be involved makes these adults lose control of their care coordination. Being in charge of care coordination is important for older multimorbid adults. The results show that older adults are willing to use eHealth to be informed and to seek information, which ensures high levels of participation in care coordination. Future research should investigate how older adults can be involved in electronic information sharing with health care providers.

A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care

Backgrounde-Health has played a crucial role during the COVID-19 pandemic in primary health care. e-Health is the cost-effective and secure use of Information and Communication Technologies (ICTs) to support health and health-related fields. Various stakeholders worldwide use ICTs, including individuals, non-profit organizations, health practitioners, and governments. As a result of the COVID-19 pandemic, ICT has improved the quality of healthcare, the exchange of information, training of healthcare professionals and patients, and facilitated the relationship between patients and healthcare providers. This study systematically reviews the literature on ICT-based automatic and remote monitoring methods, as well as different ICT techniques used in the care of COVID-19-infected patients.ObjectiveThe purpose of this systematic literature review is to identify the e-Health methods, associated ICTs, method implementation strategies, information collection techniques, advantages, and disadvantages of remote and automatic patient monitoring and care in COVID-19 pandemic.MethodsThe search included primary studies that were published between January 2020 and June 2022 in scientific and electronic databases, such as EBSCOhost, Scopus, ACM, Nature, SpringerLink, IEEE Xplore, MEDLINE, Google Scholar, JMIR, Web of Science, Science Direct, and PubMed. In this review, the findings from the included publications are presented and elaborated according to the identified research questions. Evidence-based systematic reviews and meta-analyses were conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Additionally, we improved the review process using the Rayyan tool and the Scale for the Assessment of Narrative Review Articles (SANRA). Among the eligibility criteria were methodological rigor, conceptual clarity, and useful implementation of ICTs in e-Health for remote and automatic monitoring of COVID-19 patients.ResultsOur initial search identified 664 potential studies; 102 were assessed for eligibility in the pre-final stage and 65 articles were used in the final review with the inclusion and exclusion criteria. The review identified the following eHealth methods—Telemedicine, Mobile Health (mHealth), and Telehealth. The associated ICTs are Wearable Body Sensors, Artificial Intelligence (AI) algorithms, Internet-of-Things, or Internet-of-Medical-Things (IoT or IoMT), Biometric Monitoring Technologies (BioMeTs), and Bluetooth-enabled (BLE) home health monitoring devices. Spatial or positional data, personal and individual health, and wellness data, including vital signs, symptoms, biomedical images and signals, and lifestyle data are examples of information that is managed by ICTs. Different AI and IoT methods have opened new possibilities for automatic and remote patient monitoring with associated advantages and weaknesses. Our findings were represented in a structured manner using a semantic knowledge graph (e.g., ontology model).ConclusionsVarious e-Health methods, related remote monitoring technologies, different approaches, information categories, the adoption of ICT tools for an automatic remote patient monitoring (RPM), advantages and limitations of RMTs in the COVID-19 case are discussed in this review. The use of e-Health during the COVID-19 pandemic illustrates the constraints and possibilities of using ICTs. ICTs are not merely an external tool to achieve definite remote and automatic health monitoring goals; instead, they are embedded in contexts. Therefore, the importance of the mutual design process between ICT and society during the global health crisis has been observed from a social informatics perspective. A global health crisis can be observed as an information crisis (e.g., insufficient information, unreliable information, and inaccessible information); however, this review shows the influence of ICTs on COVID-19 patients' health monitoring and related information collection techniques.

Preferences of Patients With Musculoskeletal Disorders Regarding the Timing and Channel of eHealth and Factors Influencing Its Use: Mixed Methods Study.

Implementation of eHealth is progressing slowly. In-depth insight into patients' preferences and needs regarding eHealth might improve its use. This study aimed to describe when patients want to use eHealth, how patients want to communicate and receive information digitally, and what factors influence the use of eHealth in clinical practice. A multimethod study was conducted. Two meetings of ~5.5 hours with plenary information sessions and focus groups were held with 22 patients from the rheumatology, orthopedics, and rehabilitation departments of a Dutch hospital specialized in musculoskeletal disorders. Assignments were performed during the focus groups in which qualitative (eg, semistructured interview questions) and quantitative (ie, voting and ranking factors) data were collected. The way patients want to use eHealth varies between patients and moments of a patient's care pathway. Patients' digital channel preferences depended on the need for interaction with a health care provider (HCP). The interaction need is in turn influenced by the degree to which information or communication is specific to an individual patient and leads to consequences for the patient. The 5 most important factors influencing the use of eHealth were access to medical information (eg, electronic health records), perceived control over disease management, correctness and completeness of information, data security, and access to information or an HCP at any time. The 5 least important factors influencing eHealth use were help with using digital devices, having internet or equipment, digital skills, attitude or emotions toward eHealth, and societal benefits. Patients identified opportunities for using eHealth during all moments of their care pathway. However, preferences for eHealth varied between patients and phases in the care pathway. As a consequence, eHealth should be tailored to fit individual patients' preferences but also the need for interaction regarding different topics by offering a variety of digital channels with a gradient of interaction possibilities. Furthermore, digital skills and access to the internet might become less important to focus on in the future. Improving eHealth use by patients may be achieved by providing patients access to correct and safe (medical) information and more control over their care.

Needs, expectations, facilitators, and barriers among insurance physicians related to the use of eHealth in their work: results of a survey

Purpose To determine needs, expectations, facilitators, and barriers of insurance physicians (IPs) for using eHealth in their work. Also, we investigated differences between age groups. Materials and methods All insurance physicians employed at the Dutch Social Security Institute (SSI) received an online anonymous survey in July 2020. Results Three hundred and fifteen IPs (31%) responded. According to these IPs, the most important need for using eHealth was to collect medical information more effectively and efficiently (71%). Main facilitators were that eHealth could make IPs’ work more effectively and efficiently (61%) and more future-proof (60%). Main barriers were losing human interaction (54%) and security issues (51%). Younger IPs saw more options for using eHealth, compared to older IPs. Conclusions The majority of IPs (in particular younger IPs) had a positive view towards using eHealth in their daily work. Nevertheless, differences in needs, expectations, facilitators and barriers between the age groups should be taken into account for the successful development and implementation of interventions using eHealth in insurance medicine.

Scalability of digital psychological innovations for refugees: A comparative analysis in Egypt, Germany, and Sweden

E-mental health interventions may offer innovative means to increase access to psychological support and improve the mental health of refugees. However, there is limited knowledge about how these innovations can be scaled up and integrated sustainably into routine services. This study examined the scalability of a digital psychological intervention called Step-by-Step (SbS) for refugees in Egypt, Germany, and Sweden. We conducted semi-structured interviews (n = 88) with Syrian refugees, and experts in SbS or refugee' mental health systems in the three countries. Data collection and analysis were guided by a system innovation perspective. Interviewees identified three contextual factors that influenced scalability of SbS in each country: increasing use of e-health, the COVID-19 pandemic, and political instability. Nine factors lay at the interface between the innovation and potential delivery systems, and these were categorised by culture (ways of thinking), structure (ways of organising), and practice (ways of doing). Factors related to culture included: perceived need and acceptability of the innovation. Acceptability was influenced by mental health stigma and awareness, digital trust, perceived novelty of self-help interventions, and attitudes towards non-specialist (e-helper) support. Factors related to structure included financing, regulations, accessibility, competencies of e-helpers, and quality control. Factors related to practice were barriers in the initial and continued engagement of end-users. Many actors with a potential stake in the integration of SbS across the three countries were identified, with nineteen stakeholders deemed most powerful. Several context-specific integration scenarios were developed, which need to be tested. We conclude that integrating novel e-mental health interventions for refugees into routine services will be a complex task due to the many interrelated factors and actors involved. Multi-stakeholder collaboration, including the involvement of end-users, will be essential.

Evaluation of the usability of the digital platform navigator KardioUp for the journey of patients with chronic heart failure

IntroductionDigital health interventions constitute a promising supplementary approach for further improvement of the quality and experience of cardiovascular care in patients with heart failure (HF). However, concerns about privacy, security, and quality may arise additionally to lack of personal motivation and accessibility to digital resources. Therefore, the proposed system aims to implement innovative technological trends in HF monitoring by recording clinical, biological, and biometric parameters. MethodsThe availability and feasibility of the digital platform KardioUp was evaluated in a group of 25 patients with HF (mean age: 60 years) and 15 medical doctors (mean age 40 years) in two University Cardiology Clinics of the country. Connectivity of platform with the application and Android devices, use of alerts in clinical measurements, educational material provided, and total satisfaction by both patients and physicians were also evaluated. Patients with health barriers to understand the use of digital platforms or low eHealth ≤8 (digital unawareness) were excluded. ResultsAll patients answered that the upload of measurements of blood pressure, blood glucose, and weight into the application were feasible. Patients mean eHealth score was 32,7. Additionally, the graphics of the application were friendly and educational material was also easily approached. Patients felt that this application can enable real patient-empowerment and self-management support. ConclusionsKardioUp was evaluated as a non-pharmacological intervention that could promote autonomous living of patients. Thus, possible alterations in daily activities and other parameters will be continuously evaluated providing metrics' monitoring on patients’ performance, adherence to their treatment plan, avoidance of rehospitalizations, and overall health metrics.

Knowledge, Perceptions and Attitudes of eHealth and Health Technology among Nursing Students from Gauteng Province, South Africa.

The use of technology in healthcare settings was identified as a crucial priority in many countries to provide quality healthcare services. eHealth or digital health technology is found to have a positive influence on improving the efficiency and quality of healthcare services. It has been proven to provide opportunities to strengthen health systems. This study aims to assess eHealth literacy, pre-existing knowledge and the nursing students' perceptions and attitudes towards eHealth. A quantitative, descriptive, cross-sectional survey was used in this study. The population of this study comprised 266 nursing students in the undergraduate programme of the Department of Nursing, among which 244 consented to participate in the study. A standardised and self-administered tool was utilised to collect data from nursing students across the four levels of study. Results showed that students in level four exhibit high scores of knowledge in the use of eLearning technology as compared to first-entry university nursing students. Nursing students used the internet frequently, especially to access social media and search for health and medical information for their study. Attitudes towards eHealth and technology were also found to be positive. The study recommends that digital literacy should be enhanced in the nursing education curriculum in other to further strengthen the knowledge and skills towards the use of eHealth and health technology among nursing students.

Determinants of motivation and adherence to a web application for health behaviour change: A qualitative study with cancer survivors.

Given the increasing number of cancer survivors, eHealth may be an effective means to improve lifestyle-related behaviours. Limited data are available on the use of eHealth by post-cancer patients. The present study aimed to analyse the contexts of use to identify the determinants of cancer survivors' adherence and motivation to use a web application offering nutrition and physical activity coaching. Individual semi-structured interviews were conducted with cancer survivors who participated in an 8-week online program for health behaviour change. The interviews were analysed using thematic analysis. Fifteen patients with a mean (SD) age of 62 (4.2) years completed the interview. Four themes relating to the environment and context of use were identified: digital use, social relations, health, and digital health interventions. Participants were familiar with digital tools through their professional work. Their motivation and adherence to the program improved through social relations; notably, a supportive family in addition to a trusted prescriber, continuity in the care pathway, and an appropriate choice of design features in the digital health intervention. With cancer survivorship, individuals no longer define themselves as sick but still need support to envisage the future more serenely. Cancer survivorship plays a special role in people's adherence to online interventions for health behaviour change in addition to the influence of their social relations and health environment.

Toward Inclusive Approaches in the Design, Development, and Implementation of eHealth in the Intellectual Disability Sector: Scoping Review.

The use of eHealth is more challenging for people with intellectual disabilities (IDs) than for the general population because the technologies often do not fit the complex needs and living circumstances of people with IDs. A translational gap exists between the developed technology and users' needs and capabilities. User involvement approaches have been developed to overcome this mismatch during the design, development, and implementation processes of the technology. The effectiveness and use of eHealth have received much scholarly attention, but little is known about user involvement approaches. In this scoping review, we aimed to identify the inclusive approaches currently used for the design, development, and implementation of eHealth for people with IDs. We reviewed how and in what phases people with IDs and other stakeholders were included in these processes. We used 9 domains identified from the Centre for eHealth Research and Disease management road map and the Nonadoption, Abandonment, and challenges to the Scale-up, Spread, and Sustainability framework to gain insight into these processes. We identified both scientific and gray literature through systematic searches in PubMed, Embase, PsycINFO, CINAHL, Cochrane, Web of Science, Google Scholar, and (websites of) relevant intermediate (health care) organizations. We included studies published since 1995 that showed the design, development, or implementation processes of eHealth for people with IDs. Data were analyzed along 9 domains: participatory development, iterative process, value specification, value proposition, technological development and design, organization, external context, implementation, and evaluation. The search strategy resulted in 10,639 studies, of which 17 (0.16%) met the inclusion criteria. Various approaches were used to guide user involvement (eg, human or user-centered design and participatory development), most of which applied an iterative process mainly during technological development. The involvement of stakeholders other than end users was described in less detail. The literature focused on the application of eHealth at an individual level and did not consider the organizational context. Inclusive approaches in the design and development phases were well described; however, the implementation phase remained underexposed. The participatory development, iterative process, and technological development and design domains showed inclusive approaches applied at the start of and during the development, whereas only a few approaches involved end users and iterative processes at the end of the process and during implementation. The literature focused primarily on the individual use of the technology, and the external, organizational, and financial contextual preconditions received less attention. However, members of this target group rely on their (social) environment for care and support. More attention is needed for these underrepresented domains, and key stakeholders should be included further on in the process to reduce the translational gap that exists between the developed technologies and user needs, capabilities, and context.

Implementation of ask-advise-connect for smoking cessation in Dutch general practice during the COVID-19 pandemic: a mixed-methods evaluation using the CFIR framework

BackgroundThe Ask-Advise-Connect (AAC) approach can help primary care providers to increase the number of people who attempt to quit smoking and enrol into cessation counselling. We implemented AAC in Dutch general practice during the COVID-19 pandemic. In this study we describe how AAC was received in Dutch general practice and assess which factors played a role in the implementation.MethodsA mixed-methods approach was used to evaluate the implementation of AAC. Implementation took place between late 2020 and early 2022 among 106 Dutch primary care providers (general practitioners (GPs), practice nurses and doctor’s assistants). Quantitative and qualitative data were collected through four online questionnaires. A descriptive analysis was conducted on the quantitative data. The qualitative data (consisting of answers to open-ended questions) were inductively analysed using axial codes. The Consolidated Framework for Implementation Research was used to structure and interpret findings.ResultsDuring the study, most participants felt motivated (84–92%) and able (80–94%) to apply AAC. At the end of the study, most participants reported that the AAC approach is easy to apply (89%) and provides advantages (74%). Routine implementation of the approach was, however, experienced to be difficult. More GPs (30–48%) experienced barriers in the implementation compared to practice nurses and doctor’s assistants (7–9%). The qualitative analysis showed that especially external factors, such as a lack of time or priority to discuss smoking due to the COVID-19 pandemic, negatively influenced implementation of AAC.ConclusionsAlthough AAC was mostly positively received in Dutch general practice, implementation turned out to be challenging, especially for GPs. Lack of time to discuss smoking was a major barrier in the implementation. Future efforts should focus on providing additional implementation support to GPs, for example with the use of e-health.

Refined Analysis of Older eHealth Users From an Agency Perspective: Quantitative Telephone Interview Study.

Most studies on the eHealth divide among older people have compared users to nonusers and found that age, gender, and education were associated with eHealth misuse. They assumed that these characteristics were structural barriers to eHealth adoption. Furthermore, eHealth practices have been examined in a narrow and incomplete way, and the studies disagree about the association between health conditions and eHealth use. Using a more dynamic theoretical lens, we investigated the potential motivations driving older adults' agential adoption of eHealth practices despite their advanced age. This study aimed to obtain a complete and detailed description of eHealth uses among older adults; examine whether demographic characteristics such as age, gender, and education (previously related to eHealth misuse) are still associated with the various eHealth clusters; and determine whether contextual factors such as changes in the health condition of older eHealth users or their loved ones are associated with older adult eHealth use. We conducted a 30-minute telephone interview with a representative sample of 442 Israeli adults (aged ≥50 years) with a sampling error of 2.04%. The interviews were conducted in Hebrew, Arabic, and Russian. Using factor analysis with 21 eHealth use questions, we identified 4 eHealth clusters: instrumental and administrative information seeking, information sharing, seeking information from peers, and web-based self-tracking. In addition to age, gender, education, internet experience, frequency of internet use, perceived eHealth literacy, and self-rated health, we asked respondents to indicate how much they had used offline health services because of a health crisis in the past year. We found differences in the number of older eHealth users in the various clusters. They used instrumental and administrative information (420/442, 95%) and obtained information from peers (348/442, 78.7%) the most; followed by web-based self-tracking related to health issues (305/442, 69%), and only a few (52/442, 11.3%) uploaded and shared health information on the web. When controlling for personal attributes, age, gender, and education were no longer predictors of eHealth use, nor was a chronic ailment. Instead, internet experience, frequency of internet use, and perceived eHealth literacy were associated with 3 eHealth clusters. Looking for health information for family and friends predicted all 4 eHealth clusters. Many older adults can overcome structural barriers such as age, gender, and education. The change in their or their loved ones' circumstances encouraged them to make deliberate efforts to embrace the new practices expected from today's patients. Seeking health information for family and friends and dealing with unexpected health crises motivates them to use eHealth. We suggest that health professionals ignore their tendency to label older people as nonusers and encourage them to benefit from using eHealth and overcome stereotypical ways of perceiving these patients.

Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study

eHealth resources and interventions promise to promote favorable behavior change, self-efficacy, and knowledge acquisition, thereby improving health literacy. However, individuals with limited eHealth literacy may find it difficult to identify, understand, and benefit from eHealth use. It is necessary to identify the self-assessed eHealth literacy of those who use eHealth resources to classify their eHealth literacy levels and to determine the demographic characteristics associated with higher and lower eHealth literacy skills. This study aimed to identify notable factors closely associated with limited eHealth literacy among Chinese male populations to provide some implications for clinical practice, health education, medical research, and public health policy making. We hypothesized that participants' eHealth literacy status was associated with various demographic characteristics. Therefore, we elicited the following information in the questionnaire: age and education, self-assessed disease knowledge, 3 well-developed health literacy assessment tools (ie, the All Aspects of Health Literacy Scale, eHealth Literacy Scale, and General Health Numeracy Test), and the 6 Internal items on health beliefs and self-confidence in the Multidimensional Health Locus of Control Scales. Using randomized sampling, we recruited survey participants from Qilu Hospital of Shandong University, China. After validating the data collected through a web-based questionnaire survey via wenjuanxing, we coded all valid data according to predefined coding schemes of Likert scales with different point (score) ranges. We then calculated the total scores of the subsections of the scales or the entire scale. Finally, we used logistic regression modeling to associate the scores of the eHealth Literacy Scale with the scores of the All Aspects of Health Literacy Scale, the General Health Numeracy Test-6, and age and education to ascertain factors considerably associated with limited eHealth literacy among Chinese male populations. All data from the 543 returned questionnaires were valid according to the validation criteria. By interpreting these descriptive statistics, we found that 4 factors were significantly correlated with participants' limited eHealth literacy: older age, lower education attainment, lower levels of all aspects of health literacy (functional, communicative, and critical), and weaker beliefs and self-confidence in internal drivers and strengths to stay healthy. By applying logistic regression modeling, we ascertained 4 factors that were significantly correlated with limited eHealth literacy among Chinese male populations. These relevant factors identified can inform stakeholders engaging in clinical practice, health education, medical research, and health policy making.

Aile Hekimliği uygulamasında e-sağlık çözümleri

The World Health Organization defines E-health as the cost-effective and safe use of information and communication technologies (ICTs) to support health and health-related fields, including health services, health surveillance, health literature and health education, information and research. In this study, we aimed to compile information on the importance of e-health use in family medicine and some e-health applications used in family medicine worldwide in light of current literature. The purpose of our review study is to facilitate the discussion on the use of rapidly developing technologies in the context of family medicine discipline. Primary health care is challenged to provide quality and accessible care to an increasingly ageing population with a high prevalence of chronic diseases. To adapt, primary care providers need to adopt innovative practices, including eHealth. In family medicine, digital health has the potential to help patients monitor and manage chronic conditions, while preventing disease and reducing healthcare costs. There is also great benefit in using technology to provide individualized health care. It is also beneficial for Family Physicians to take advantage of advances in digital health, thus contributing to improved patient health care. There are various e-health applications utilized in primary healthcare worldwide, with some countries using them extensively, while others use them sparingly. The range of e-health applications utilized in primary healthcare is continually expanding and includes disease coding systems, clinical decision support systems, e-prescription, e-dispatch, digital imaging, disease monitoring software, remote measurement devices, and smart wearable technologies. Despite the potential benefits of eHealth, evaluating its effectiveness, usability, and accuracy through scientific evidence before implementation is crucial. However, there is often a lack of sufficient scientific evidence to support the implementation of eHealth applications fully. Therefore, the conditions necessary for eHealth to reach its full potential in primary healthcare remain unclear.

EHealth Use on Acute Inpatient Mental Health Units: Implementation Processes, Common Practices, and Barriers to Use.

Information technology to promote health (eHealth) is an important and growing area of mental healthcare, yet little is known about the use of patient-facing eHealth in psychiatric inpatient settings. This quality improvement project examined the current practices, barriers, implementation processes, and contextual factors affecting eHealth use across multiple Veteran Health Administration (VHA) acute mental health inpatient units.Staff from units serving both voluntary and involuntary patients (n = 49 from 37 unique sites) completed surveys regarding current, desired, and barriers to use of Veteran-facing eHealth technologies. Two subsets of respondents were then interviewed (high success sites in eHealth use, n = 6; low success sites, n = 4) to better understand the context of their eHealth use. Survey responses indicated that 20% or less of Veterans were using any type of eHealth technology while inpatient. Tablets and video chat were the most desired overall and most successfully used eHealth technologies. However, many sites noted difficulty implementing these technologies (e.g., limited Wi-Fi access). Qualitative analysis of interviews revealed differences in risk/benefit analysis and implementation support between high and low success eHealth sites. Despite desired use, patient-facing eHealth technology is not regularly implemented on inpatient units due to multiple barriers (e.g., limited staffing, infrastructure needs). Successful implementation of patient-facing eHealth may require an internal champion, guidance from external supports with experience in successful eHealth use, workload balance for staff, and an overall perspective shift in the benefits to eHealth technology versus the risks.