Project description:BackgroundProfound scientific evaluation of novel digital health technologies (DHTs) is key to enhance successful development and implementation. As such, we previously developed the eHealth evaluation cycle. The eHealth evaluation cycle contains 5 consecutive study phases: conceptual, development, feasibility, effectiveness, and implementation.ObjectiveThe aim of this study is to develop a better understanding of the daily practice of the eHealth evaluation cycle. Therefore, the objectives are to conduct a structured analysis of literature data to analyze the practice of the evaluation study phases and to determine which evaluation approaches are used in which study phase of the eHealth evaluation cycle.MethodsWe conducted a systematic literature search in PubMed including the MeSH term "telemedicine" in combination with a wide variety of evaluation approaches. Original peer-reviewed studies published in the year 2019 (pre-COVID-19 cohort) were included. Nonpatient-focused studies were excluded. Data on the following variables were extracted and systematically analyzed: journal, country, publication date, medical specialty, primary user, functionality, evaluation study phases, and evaluation approach. RStudio software was used to summarize the descriptive data and to perform statistical analyses.ResultsWe included 824 studies after 1583 titles and abstracts were screened. The majority of the evaluation studies focused on the effectiveness (impact; 304/824, 36.9%) study phase, whereas uptake (implementation; 70/824, 8.5%) received the least focus. Randomized controlled trials (RCTs; 170/899, 18.9%) were the most commonly used DHT evaluation method. Within the effectiveness (impact) study phase, RCTs were used in one-half of the studies. In the conceptual and planning phases, survey research (27/78, 35%) and interview studies (27/78, 35%) were most frequently used. The United States published the largest amount of DHT evaluation studies (304/824, 36.9%). Psychiatry and mental health (89/840, 10.6%) and cardiology (75/840, 8.9%) had the majority of studies published within the field.ConclusionsWe composed the first comprehensive overview of the actual practice of implementing consecutive DHT evaluation study phases. We found that the study phases of the eHealth evaluation cycle are unequally studied and most attention is paid to the effectiveness study phase. In addition, the majority of the studies used an RCT design. However, in order to successfully develop and implement novel DHTs, stimulating equal evaluation of the sequential study phases of DHTs and selecting the right evaluation approach that fits the iterative nature of technology might be of the utmost importance.

Project description:IntroductionHealthcare systems around the world exhibit inherent systemic inequities that disproportionately impact marginalised populations. Digital health technologies (DHTs) hold promising potential to address these inequities and to play a pivotal role in advancing health equity. However, there is a notable gap regarding a comprehensive and structured overview of existing frameworks and guidelines on advancing health equity and a clear understanding of the potential of DHTs in their implementation. To this end, our primary objectives are first to identify prevalent frameworks and guidelines that promote health equity and second to pinpoint the contemporary role of DHTs as an avenue for implementing these frameworks and guidelines. This synthesis will guide future DHTs, ensuring equitable accessibility and effectiveness and ultimately contributing to enhancing health equity among marginalised populations.Methods and analysisThis work adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Scoping Reviews. To identify pertinent evidence, we will employ seven electronic databases (PubMed, EMBASE, Cochrane, PsycINFO, Scopus, Web of Science and WISO) encompassing the fields of medicine, healthcare and social sciences. Moreover, selected grey literature will be considered. We will include primary and secondary studies published in English between 2010 and 2023 that focus on (technology and non-technology-based) frameworks and guidelines for health equity improvement. Each article will undergo an independent assessment for eligibility, followed by the extraction of pertinent data from eligible sources. Subsequently, the extracted data will be subjected to qualitative and quantitative analyses, and findings will be presented using narrative and descriptive formats.Ethics and disseminationEthical approval is deemed unnecessary for this scoping review, as it involves synthesising existing knowledge. The findings from this study will be disseminated through peer-reviewed publications.Protocol registrationhttps://osf.io/94pht.

Project description:IntroductionDigital health technologies have vastly improved monitoring, diagnosis, and care during pregnancy. As expectant mothers increasingly engage with social media, online platforms, and mobile applications, these innovations present valuable opportunities to enhance the quality of maternal healthcare services.ObjectiveThis review aims to assess the applicability, outcomes, and recent advancement of digital health modalities in antenatal care.MethodWe conducted a scoping review by searching four electronic databases (Scopus, Web of Science, PubMed, EBSCOhost), performing manual searches of Google Scholar, and examining the references of relevant studies. Eligible studies included original research published in English between 2010 and 2024 involving the use of digital health technologies for antenatal care, complying with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review guidelines.ResultsOne hundred twenty-six eligible articles were identified, with the majority (61.11%) conducted in high-income countries, including the United States, United Kingdom, and Australia. Digital health studies have increased over time, driven by telehealth adoption in affluent nations. Interventions predominantly focused on patient-provider consultations, remote monitoring, and health education, complementing in-person visits or as a substitute when necessary. High levels of acceptance and satisfaction were reported among users. These interventions primarily targeted general maternal care (28.57%), gestational diabetes mellitus (15.07%), and mental health (13.49%) while also addressing gestational weight management, hypertensive disorders, high-risk pregnancies and maternal education. The findings demonstrated positive outcomes in managing clinical conditions, enhancing knowledge, promoting birth preparedness, and improving antenatal care access and utilisation. Additionally, the findings revealed the cost-effectiveness of these approaches in alleviating financial burdens for patients and healthcare systems.ConclusionDigital health is emerging as a pivotal tool in maternal and child care, fostering positive outcomes and high acceptance among patients and healthcare providers. Its integration into antenatal care ensures the maintenance of standard care quality, with no adverse effects reported despite limited discussions on safety and privacy concerns. As these technologies continue to evolve, they are set to redefine antenatal care by offering more accessible, efficient, and patient-centred solutions, ultimately shaping the future of maternal healthcare delivery.

Project description:BackgroundDue to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients' needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR.ObjectiveIn this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR.MethodsThe scoping review followed the framework of Arksey and O'Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR.ResultsA total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies.ConclusionsMultiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients' needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.

Project description:BackgroundWith the progressive digitization of people's lives and in the specific healthcare context, the issue of equity in the healthcare domain has extended to digital environments or e-environments, assuming the connotation of "Digital Health Equity" (DHE). Telemedicine and e-Health, which represent the two main e-environments in the healthcare context, have shown great potential in the promotion of health outcomes, but there can be unintended consequences related to the risk of inequalities. In this paper, we aimed to review papers that have investigated the topic of Digital Health Equity in Telemedicine and e-Health [definition(s), advantages, barriers and risk factors, interventions].MethodsWe conducted a scoping review according to the methodological framework proposed in PRISMA-ScR guidelines on the relationship between Digital Health Equity and Telemedicine and e-Health via Scopus and Pubmed electronic databases. The following inclusion criteria were established: papers on the relationship between Digital Health Equity and Telemedicine and/or e-Health, written in English, and having no time limits. All study designs were eligible, including those that have utilized qualitative and quantitative methods, methodology, or guidelines reports, except for meta-reviews.ResultsRegarding Digital Health Equity in Telemedicine and e-Health, even if there is no unique definition, there is a general agreement on the idea that it is a complex and multidimensional phenomenon. When promoting Digital Health Equity, some people may incur some risk/s of inequities and/or they may meet some obstacles. Regarding intervention, some authors have proposed a specific field/level of intervention, while other authors have discussed multidimensional interventions based on interdependence among the different levels and the mutually reinforcing effects between all of them.ConclusionIn summary, the present paper has discussed Digital Health Equity in Telemedicine and e-Health. Promoting equity of access to healthcare is a significant challenge in contemporary times and in the near future. While on the one hand, the construct "equity" applied to the health context highlights the importance of creating and sustaining the conditions to allow anyone to be able to reach (and develop) their "health potential", it also raises numerous questions on "how this can happen". An overall and integrated picture of all the variables that promote DHE is needed, taking into account the interdependence among the different levels and the mutually reinforcing effects between all of them.

Project description:This review explores the acceptance of digital health (DH) technologies for managing non-communicable diseases (NCDs) among older adults (≥ 50 years), with an extended focus on artificial intelligence (AI)-powered conversational agents (CAs) as an emerging notable subset of DH. A systematic literature search was conducted in June 2024 using PubMed, Web of Science, Scopus, and ACM Digital Library. Eligible studies were empirical and published in English between January 2010 and May 2024. Covidence software facilitated screening and data extraction, adhering to PRISMA-ScR guidelines. The screening process finally yielded 20 studies. Extracted data from these selected studies included interventions, participant demographics, technology types, sample sizes, study designs and locations, technology acceptance measures, key outcomes, and methodological limitations. A narrative synthesis approach was used for analysis, revealing four key findings: (1) overall positive attitudes of older adults towards DH acceptance; (2) the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) are the most frequently used standard frameworks for evaluating technology acceptance; (3) the key facilitators of technology acceptance include perceived usefulness, ease of use, social influence, and digital or e-health literacy, while barriers involve technical challenges, usability issues, and privacy concerns; (4) the acceptance of AI-based CAs for NCD management among older adults remains inadequately evaluated, possibly due to limited adaptation of established frameworks to specific healthcare contexts and technology innovations. This review significantly contributes to the DH field by providing a comprehensive analysis of technology acceptance for NCD management among older adults, extending beyond feasibility and usability. The findings offer stakeholders valuable insights into how to better integrate these technologies to improve health outcomes and quality of life for older adults. Protocol Registration: PROSPERO (Registration ID: CRD42024540035).

Project description:BackgroundAn increasing number of patients expect and want to play a greater role in their treatment and care decisions. This emphasizes the need to adopt collaborative health care practices, which implies collaboration among interprofessional health care teams and patients, their families, caregivers, and communities. In recent years, digital health technologies that support self-care and collaboration between the community and health care providers (ie, participatory health technologies) have received increasing attention. However, knowledge regarding the features of such technologies that support effective patient-professional partnerships is still limited.ObjectiveThis study aimed to map and assess published studies on participatory health technologies intended to support partnerships among patients, caregivers, and health care professionals in chronic care, focusing specifically on identifying the main features of these technologies.MethodsA scoping review covering scientific publications in English between January 2008 and December 2020 was performed. We searched PubMed and Web of Science databases. Peer-reviewed qualitative, quantitative, and mixed methods studies that evaluated digital health technologies for patient-professional partnerships in chronic care settings were included. The data were charted and analyzed thematically. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist was used.ResultsThis review included 32 studies, reported in 34 papers. The topic of participatory health technologies experienced a slightly increasing trend across publication years, with most papers originating from the United States and Norway. Diabetes and cardiovascular diseases were the most common conditions addressed. Of the 32 studies, 12 (38%) evaluated the influence of participatory health technologies on partnerships, mostly with positive outcomes, although we also identified how partnership relationships and the nature of collaborative work could be challenged when the roles and expectations between users were unclear. Six common features of participatory health technologies were identified: patient-professional communication, self-monitoring, tailored self-care support, self-care education, care planning, and community forums for peer-to-peer interactions.ConclusionsOur findings emphasize the importance of clarifying mutual expectations and carefully considering the implications that the introduction of participatory health technologies may have on the work of patients and health care professionals, both individually and in collaboration. A knowledge gap remains regarding the use of participatory health technologies to effectively support patient-professional partnerships in chronic care management.

Project description:ObjectivePrior research has identified that people with Parkinson's reporting lower levels of self-efficacy exhibit worsening motor and non-motor symptomology, reduced quality of life, and self-management. Our key objective was to conduct a scoping review examining the impact of digital health technologies on self-efficacy in people with Parkinson's.DesignA scoping review using Arksey and O'Malley's (2005) framework was undertaken.Data sourcesMEDLINE, Embase, PsychINFO, CINAHL, Web of Science, IEEE Xplore, and Google Scholar principally for grey literature were searched from 1 January 2008 to the 24th of July 2024.Eligibility criteria for selecting studiesPrimary studies which incorporated digital health technologies, measured self-efficacy and had a sample population of people with Parkinson's were searched.Data extraction and synthesisFollowing identification of potentially eligible records, two independent reviewers undertook title and abstract screening, followed by full-text screening. Data was extracted using our earlier published data extraction sheet which incorporated the Practical Reviews in Self-Management Support (PRISMS) taxonomy, and the template for intervention description and replication (TIDieR) checklist. Data was extracted from a Microsoft Excel spreadsheet and synthesised by describing themes, demographic data and numerical data.ResultsFrom 33 165 unique records following screening and independent review by two reviewers, 11 eligible records were found. Of these five elevated self-efficacy to a statistically significant level, five did not and one lowered self-efficacy. Of the studies which raised self-efficacy to a statistically significant level, all adopted a multimodal approach with a variety of devices. Thematically, these devices were focused on physical activity, falls/falls prevention, or both. The level of heterogeneity precluded comparisons between studies.ConclusionsThis scoping review identified significant knowledge and evidence gaps in the literature, and the limited number of eligible studies make these findings not generalisable. Future self-management research might benefit from also considering self-efficacy.

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Evaluating EHR-Integrated Digital Technologies for Medication-Related Outcomes and Health Equity in Hospitalised Adults: A Scoping Review

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