ObjectivesEarly assessment can assist in allocating resources for innovation effectively and produce the most beneficial technology for an institution. The aim of the present study was to identify methods and discuss the analytical approaches applied for the early assessment of innovation in a healthcare setting.MethodsKnowledge synthesis based on a structured search (using the MEDLINE, Embase, and Cochrane databases) and thematic analysis was conducted. An analytical framework based on the stage of innovation (developmental, introduction, or early diffusion) was applied to assess whether methods vary according to stage. Themes (type of innovation, study, analysis, study design, method, and main target audience) were then decided among the authors. Identified methods and analysis were discussed according to the innovation stage.ResultsA total of 1,064 articles matched the search strategy. Overall, thirty-nine articles matched the inclusion criteria. The use of methods has a tendency to change according to the stage of innovation. Stakeholder analysis was a prominent method in the innovation stages and particularly in the developmental stage, as the introduction and early diffusion stage has more availability of data and may apply more complex methods. Barriers to the identified methods were also discussed as all of the innovation stages suffered from lack of data and substantial uncertainty.ConclusionsAlthough this review has identified applicable approaches for early assessment in different innovation stages, research is required regarding the value of the available data and methods and tools to enhance interactions between different parties at different stages of innovation.
Background Globally, public health care is under increasing pressure, an economic burden currently amplified by the COVID-19 outbreak. With the recognition that universal health coverage improves the health of a population and reduces health inequalities, universal health coverage has been acknowledged as a priority goal. To meet the global needs in a population with increased chronic illness and longer life expectancy, the health care system is in dire need of new, emerging technologies. eHealth solutions as a method of delivery may have an impact on quality of care and health care costs. As such, it is important to study methods previously used to avoid suboptimal implementation and promote general guidelines to further develop eHealth solutions. Objective This study aims to explore and thematically categorize a selected representation of early phase studies on eHealth technologies, focusing on papers that are under development or undergoing testing. Further, we want to assess enablers and barriers in terms of usability, scaling, and data management of eHealth implementation. The aim of this study to explore early development phase and feasibility studies was an intentional effort to provide applicable guidelines for evaluation at different stages of implementation. Methods A structured search was performed in PubMed, MEDLINE, and Cochrane to identify and provide insight in current eHealth technology and methodology under development and gain insight in the future potential of eHealth technologies. Results In total, 27 articles were included in this review. The clinical studies were categorized thematically by illness comparing 4 technology types deemed relevant: apps/web-based technology, sensor technology, virtual reality, and television. All eHealth assessment and implementation studies were categorized by their focus point: usability, scaling, or data management. Studies assessing the effect of eHealth were divided into feasibility studies, qualitative studies, and heuristic assessments. Studies focusing on usability (16/27) mainly addressed user involvement and learning curve in the adoption of eHealth, while the majority of scaling studies (6/27) focused on strategic and organizational aspects of upscaling eHealth solutions. Studies focusing on data management (5/27) addressed data processing and data sensitivity in adoption and diffusion of eHealth. Efficient processing of data in a secure manner, as well as user involvement and feedback, both throughout small studies and during upscaling, were the important enablers considered for successful implementation of eHealth. Conclusions eHealth interventions have considerable potential to improve lifestyle changes and adherence to treatment recommendations. To promote efficient implementation and scaling, user involvement to promote user-friendliness, secure and adaptable data management, and strategical considerations needs to b...
ObjectiveThe dynamic and interactive mobile application Vett was designed to help change behaviour and is based on cognitive, motivational and visual techniques. Our aim is to investigate the acceptability, usability and utility of Vett as a personalised application for goal achievement.SettingThe trial took place at the rheumatology clinic at Diakonhjemmet Hospital, Oslo, Norway from January to June 2015.ParticipantsTwelve participants with osteoarthritis were recruited from a 3.5-hour multidisciplinary group-based educational programme (osteoarthritis school).InterventionsWith the help of a physician, each participant followed a customised 12-week mixed-mode goal achievement plan with digital support based on preset goals, self-monitoring and individual feedback. Acceptability was measured as the perceived degree of goal achievement using a validated habit questionnaire scaled from 0 to 100. Utility and usability were assessed via 10 weekly questions and adherence by fulfilment of predetermined tasks.ResultsMean goal achievement was 73 (95% CI 68 to 78), an increase of 22 (95% Cl 17 to 26, p<0.01), which equals 48% improvement (95% CI 32% to 59%). Mean user satisfaction was 81 (95% CI 76 to 85), and technical usability was 80 (95% CI 75 to 84), which both increased during the study period.ConclusionThe high levels of acceptability, usability and utility support the feasibility of the personalised application Vett as a viable goal achievement tool.
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