ORCID Profile
0000-0002-0909-4088
Current Organisations
IT University of Copenhagen
,
Baotou Teachers College
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Health Information Systems (incl. Surveillance) | Medical Devices | Software Engineering | Computer Software
Behaviour and Health | Integrated Circuits and Devices | Application Software Packages (excl. Computer Games) |
Publisher: JMIR Publications Inc.
Date: 15-03-2018
Abstract: he increasing digitization of health care services with enhanced access to fast internet connections, along with wide use of smartphones, offers the opportunity to get health advice or treatment remotely. For service providers, it is important to consider how consumers can take full advantage of available services and how this can create an enabling environment. However, it is important to consider the digital context and the attributes of current and future users, such as their readiness (ie, knowledge, skills, and attitudes, including trust and motivation). he objective of this study was to evaluate how the eHealth Literacy Questionnaire (eHLQ) combined with selected dimensions from the Health Education Impact Questionnaire (heiQ) and the Health Literacy Questionnaire (HLQ) can be used together as an instrument to characterize an in idual’s level of health technology readiness and explore how the generated data can be used to create health technology readiness profiles of potential users of health technologies and digital health services. e administered the instrument and sociodemographic questions to a population of 305 patients with a recent cancer diagnosis referred to rehabilitation in a setting that plans to introduce various technologies to assist the in iduals. We evaluated properties of the Readiness and Enablement Index for Health Technology (READHY) instrument using confirmatory factor analysis, convergent and discriminant validity analysis, and exploratory factor analysis. To identify different health technology readiness profiles in the population, we further analyzed the data using hierarchical and k-means cluster analysis. he confirmatory factor analysis found a suitable fit for the 13 factors with only 1 cross-loading of 1 item between 2 dimensions. The convergent and discriminant validity analysis revealed many factor correlations, suggesting that, in this population, a more parsimonious model might be achieved. Exploratory factor analysis pointed to 5 to 6 constructs based on aggregates of the existing dimensions. The results were not satisfactory, so we performed an 8-factor confirmatory factor analysis, resulting in a good fit with only 1 item cross-loading between 2 dimensions. Cluster analysis showed that data from the READHY instrument can be clustered to create meaningful health technology readiness profiles of users. he 13 dimensions from heiQ, HLQ, and eHLQ can be used in combination to describe a user’s health technology readiness level and degree of enablement. Further studies in other populations are needed to understand whether the associations between dimensions are consistent and the number of dimensions can be reduced.
Publisher: JMIR Publications Inc.
Date: 12-02-2018
DOI: 10.2196/JMIR.8371
Publisher: JMIR Publications Inc.
Date: 02-06-2019
DOI: 10.2196/10924
Publisher: JMIR Publications Inc.
Date: 23-10-2019
Abstract: igital interventions are effective for health behavior change, as they enable the self-management of chronic, noncommunicable diseases (NCDs). However, they often fail to facilitate the specific or current needs and preferences of the in idual. A proposed alternative is a digital platform that hosts a suite of discrete, already existing digital health interventions. A platform architecture would allow users to explore a range of evidence-based solutions over time to optimize their self-management and health behavior change. his review aims to identify digital platform-like interventions and examine their potential for supporting self-management of NCDs and health behavior change. literature search was conducted in January 2020 using EBSCOhost, PubMed, Scopus, and EMBASE. No digital platforms were identified, so criteria were broadened to include digital platform-like interventions. Eligible platform-like interventions offered a suite of discrete, evidence-based health behavior change features to optimize self-management of NCDs in an adult population and provided digitally supported guidance for the user toward the features best suited to their needs and preferences. Data collected on interventions were guided by the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist, including evaluation data on effectiveness and process outcomes. The quality of the included literature was assessed using the Mixed Methods Appraisal Tool. total of 7 studies were included for review. Targeted NCDs included cardiovascular diseases (CVD n=3), diabetes (n=3), and chronic obstructive pulmonary disease (n=1). The mean adherence (based on the number of follow-up responders) was 69% (SD 20%). Of the 7 studies, 4 with the highest adherence rates (80%) were also guided by behavior change theories and took an iterative, user-centered approach to development, optimizing intervention relevance. All 7 interventions presented algorithm-supported user guidance tools, including electronic decision support, smart features that interact with patterns of use, and behavior change stage-matching tools. Of the 7 studies, 6 assessed changes in behavior. Significant effects in moderate-to-vigorous physical activity were reported, but for no other specific health behaviors. However, positive behavior change was observed in studies that focused on comprehensive behavior change measures, such as self-care and self-management, each of which addresses several key lifestyle risk factors (eg, medication adherence). No significant difference was found for psychosocial outcomes (eg, quality of life). Significant changes in clinical outcomes were predominately related to disease-specific, multifaceted measures such as clinical disease control and cardiovascular risk score. terative, user-centered development of digital platform structures could optimize user engagement with self-management support through existing, evidence-based digital interventions. Offering a palette of interventions with an appropriate degree of guidance has the potential to facilitate disease-specific health behavior change and effective self-management among a myriad of users, conditions, or stages of care.
Publisher: JMIR Publications Inc.
Date: 15-12-2021
Abstract: eople living with cardiovascular disease (CVD) require flexible self-management support for health behaviour change for CVD secondary prevention. Digital health interventions can assist with these complex self-management activities. Many stakeholder groups can be involved in digital health design, including people living with CVD (users), researchers, healthcare professionals and technology developers. However, decision-making and aligning views can be difficult to negotiate within interdisciplinary teams, so the use of appropriate methodological strategies is vital. he aim of this paper was to design and develop Salvio, and to reflect on the methodological considerations that were the driving forces of this participatory design process. triangulation of research methods was used for this iterative development process. Participatory design approaches used included guided group discussions, activity-based workshops, and think-aloud tasks. Data collection was supported by self-efficacy theory to encourage user contributions. Over a 12-month period, participants met at various time points to collectively design and develop Salvio. Workshops were 2-3 hours in length and were facilitated in small groups of 4-6 participants per session. All sessions were audio-recorded, central parts of workshop conversations were transcribed, and qualitative content analysis of data was undertaken. sers (n=8) worked collaboratively with researchers (n=6) and technology developers (n=7). Findings indicated that it was critical to include an interdisciplinary team with a wide range of expertise, to build a meaningful and flexible digital platform. Effective methodological strategies were essential for genuine participation and continuous conflict resolution. Our research highlighted key elements that added to the success of this co-design process including i) the creation of a collaborative space where all voices were acknowledged and considered and ii) the effective translation of information during decision-making stages. uture research is needed to expand and evaluate participatory design tools and techniques which challenge the power relations between users and other stakeholders. By exploring methods that create space for mutual learning and resolving conflict through systematic decision-making, complex digital platforms for health behaviour change can be successfully developed with erse groups. It is clear that flexible digital platforms may be valuable to users, but further research will also be required for the successful implementation and knowledge translation of these contemporary developments.
Publisher: JMIR Publications Inc.
Date: 12-02-2019
DOI: 10.2196/10377
Publisher: JMIR Publications Inc.
Date: 25-01-2022
Abstract: eople with heart failure are supported by healthcare providers who follow clinical guidelines, and they are also encouraged to participate in self-care behaviors. However, the management of heart failure is complex. Innovative solutions are required to support healthcare providers with decision-making and to support people with heart failure to sustain appropriate self-care behaviors. In recent years, more sophisticated technologies have emerged within healthcare practice. These technologies use data collection, intelligent data processing, and communication to enable new models of healthcare, such as smart health ecosystems, to assist diagnosis and treatment of conditions, support patients in managing a condition, and monitor patients to support disease prevention. Currently, there is little information about the behavioral and technical characteristics of smart health ecosystems for people with heart failure. e aimed to identify and describe the characteristics of smart health ecosystems that support self-care for people with heart failure. e conducted a scoping review using the Joanna Briggs Institute (JBI) methodology. Searches of MEDLINE, Embase, CINAHL, PsycINFO, IEEE Xplore, and ACM Digital Library databases were searched from January 2008 to September 2021. The search strategy focused on studies that described smart health ecosystems to support self-care among people with heart failure. Two reviewers screened studies at the title and abstract level, and full text then extracted relevant data from the included full texts. fter removing duplicates, 1543 articles were screened, and 34 articles were identified, representing 13 interventions. Articles represented study designs from different stages of the e-health development cycle conceptual and planning (n=6), development and usability (n=14), pilot/feasibility (n=2), effectiveness testing (n=9), implementation (n=1), all phases (n=2). They collected data from the end user with sensors and questionnaires and used tailoring to provide personalized support. Interventions supported heart failure self-care behaviors using 34 different behavior change techniques (BCTs), which were facilitated by a combination of 8 intervention features automated feedback, monitoring (integrated and manual input), presentation of data, education, reminders, communication with a healthcare provider and psychological support. Furthermore, features to support healthcare providers included the presentation of data, alarms, and alerts, communication with the end user, remote care plan modification, health record integration, and communication with other members of the care team. his scoping review identified that there are few reports of smart health ecosystems to support self-care among people with heart failure, and those that have been reported do not provide comprehensive support across all domains of self-care. Further research on implementation and effectiveness is required. This review outlines the behavioral and technical components of the identified interventions this information can be used as a starting point for designing and testing future smart health ecosystem interventions.
Publisher: Springer Science and Business Media LLC
Date: 28-05-2022
DOI: 10.1007/S00894-022-05166-Z
Abstract: The potential astronomical interest dithioformic acid (trans-HC(= S)SH) exists five isomers and has received considerable attention of astronomical observation in recent years. The different positions of H atoms of five isomers lead to erse point groups, dipole moments, and spectroscopic constants. The anharmonic force field and spectroscopic constants of them are calculated using CCSD(T) and B3LYP employing correlation consistent basis sets. Molecular structures, dipole moments, rotational constants, and fundamental frequencies of trans-HC(= S)SH are compared with the available experimental data. The B3LYP/Gen = 5 and CCSD(T)/Gen = Q results can reproduce them well. Molecular structures, dipole moments, relative energies, spectroscopic constants of cis-HC(= S)SH, and dithiohydroxy carbene (DTHC) are also calculated. The new data obtained in this study are expected to guide the future high resolution experimental work and to assist astronomical search for CH
Publisher: JMIR Publications Inc.
Date: 19-01-2022
DOI: 10.2196/32855
Abstract: Advancements in digital technologies seek to promote health and access to services. However, people lacking abilities and confidence to use technology are likely to be left behind, leading to health disparities. In providing digital health services, health care providers need to be aware of users’ erse electronic health (eHealth) literacy to address their particular needs and ensure equitable uptake and use of digital services. To understand such needs, an instrument that captures users’ knowledge, skills, trust, motivation, and experiences in relation to technology is required. The eHealth Literacy Questionnaire (eHLQ) is a multidimensional tool with 7 scales covering erse dimensions of eHealth literacy. The tool was simultaneously developed in English and Danish using a grounded and validity-driven approach and has been shown to have strong psychometric properties. This study aims to translate and culturally adapt the eHLQ for application among Mandarin-speaking people with chronic diseases in Taiwan and then undertake a rigorous set of validity-testing procedures. The cross-cultural adaptation of the eHLQ included translation and evaluation of the translations. The measurement properties were assessed using classical test theory and item response theory (IRT) approaches. Content validity, known-group validity, and internal consistency were explored, as well as item characteristic curves (ICCs), item discrimination, and item location/difficulty. The adapted version was reviewed, and a recommended forward translation was confirmed through consensus. The tool exhibited good content validity. A total of 420 people with 1 or more chronic diseases participated in a validity-testing survey. The eHLQ showed good internal consistency (Cronbach α=.75-.95). For known-group validity, all 7 eHLQ scales showed strong associations with education. Unidimensionality and local independence assumptions were met except for scale 2. IRT analysis showed that all items demonstrated good discrimination (range 0.27-12.15) and a good range of difficulty (range 0.59-1.67) except for 2 items in scale 7. Using a rigorous process, the eHLQ was translated from English into a culturally appropriate tool for use in the Mandarin language. Validity testing provided evidence of satisfactory-to-strong psychometric properties of the eHLQ. The 7 scales are likely to be useful research tools for evaluating digital health interventions and for informing the development of health technology products and interventions that equitably suit erse users’ needs.
Publisher: JMIR Publications Inc.
Date: 02-11-2022
DOI: 10.2196/36773
Abstract: The management of heart failure is complex. Innovative solutions are required to support health care providers and people with heart failure with decision-making and self-care behaviors. In recent years, more sophisticated technologies have enabled new health care models, such as smart health ecosystems. Smart health ecosystems use data collection, intelligent data processing, and communication to support the diagnosis, management, and primary and secondary prevention of chronic conditions. Currently, there is little information on the characteristics of smart health ecosystems for people with heart failure. We aimed to identify and describe the characteristics of smart health ecosystems that support heart failure self-care. We conducted a scoping review using the Joanna Briggs Institute methodology. The MEDLINE, Embase, CINAHL, PsycINFO, IEEE Xplore, and ACM Digital Library databases were searched from January 2008 to September 2021. The search strategy focused on identifying articles describing smart health ecosystems that support heart failure self-care. A total of 2 reviewers screened the articles and extracted relevant data from the included full texts. After removing duplicates, 1543 articles were screened, and 34 articles representing 13 interventions were included in this review. To support self-care, the interventions used sensors and questionnaires to collect data and used tailoring methods to provide personalized support. The interventions used a total of 34 behavior change techniques, which were facilitated by a combination of 8 features for people with heart failure: automated feedback, monitoring (integrated and manual input), presentation of data, education, reminders, communication with a health care provider, and psychological support. Furthermore, features to support health care providers included data presentation, alarms, alerts, communication tools, remote care plan modification, and health record integration. This scoping review identified that there are few reports of smart health ecosystems that support heart failure self-care, and those that have been reported do not provide comprehensive support across all domains of self-care. This review describes the technical and behavioral components of the identified interventions, providing information that can be used as a starting point for designing and testing future smart health ecosystems.
Publisher: MDPI AG
Date: 09-11-2018
DOI: 10.3390/INFORMATICS5040041
Abstract: Background: The WHO framework on integrated people-centred health services promotes a focus on the needs of people and their communities to empower them to have a more active role in their own health. It has advocated five strategies including: Engaging and empowering people and communities co-ordinating services within and across sectors and, creating an enabling environment. Any implementation of these strategies needs to occur at in idual, community, and health service levels. Useful steps to reorganising health service provision are already being guided by existing models of care linked to increased adoption and use of digital technologies with ex les including: Wagner’s Chronic Care Model (CCM) Valentijn’s Rainbow Model of Integrated Care (RMIC) and Phanareth’s et al.’s Epital Care Model (ECM). However, what about in iduals and the communities they live in? How will strategies be implemented to address known inequities in: the social determinants of health access to, and use of digital technologies, and in idual textual, technical, and health literacies? Proposal of a matrix framework: This paper argues that people with complex and chronic conditions (PwCCC) living in communities that are at risk of being under-served or marginalised in health service provision require particular attention. It articulates a step-by-step process to identify these in iduals and co-produce mechanisms to engage, empower and ultimately emancipate these in iduals to become activated in living with their conditions and in their interactions with the health system and community. This step-by-step process focuses on key issues related to the design and role of digital services in mitigating the effects of the health service inequity and avoiding the creation of an e-health ide amongst users when advocating digital behaviour change initiatives. This paper presents a matrix framework providing a scaffold across three inter-related levels of the in idual the provider, and the health and care system. The matrix framework supports examination of and reflection on the design and role of digital technologies in conjunction with pre-existing motivational instruments. This matrix framework is illustrated with ex les from practice. Conclusion: It is anticipated that the matrix framework will evolve and can be used to map and reflect on approaches and practices aiming to enrich and stimulate co-production activities supported by digital technology focused on enhancing people-centred health services for the marginalised.
Publisher: Springer Science and Business Media LLC
Date: 02-08-2016
Publisher: MDPI AG
Date: 07-12-2020
DOI: 10.3390/LIFE10120329
Abstract: Health care systems struggle to consistently deliver integrated high-quality, safe, and patient-centered care to all in an economically sustainable manner. Inequity of access to health care services and variation in diagnostic and treatment outcomes are common. Further, as health care systems become ever more complex, iatrogenesis and counter productivity have emerged as real dangers. In exploring this paradox, this paper considers a subset of those in society living with chronic conditions. Their attributes and circumstances have led to them being marginalized or excluded from ‘end-user’ engagement and/or from their requirements being incorporated into technology supported chronic disease management initiatives. Significantly, these citizens are often the most vulnerable and socially disadvantaged and tend to achieve poorer results and cost more per capita than the ‘average patient’ in their interactions with the health care system. Critically, this paper argues that a truly people-centered technology supported chronic care system can only be designed by understanding and responding to the needs, attributes and capabilities of the most vulnerable in society. This paper suggests innovative ways of supporting interactions with these ‘end-users’ and highlights how reflection on these approaches can contribute to emancipating the health system to move towards more socially inclusive eHealth solutions.
Publisher: JMIR Publications Inc.
Date: 28-10-2020
DOI: 10.2196/16774
Abstract: Digital interventions are effective for health behavior change, as they enable the self-management of chronic, noncommunicable diseases (NCDs). However, they often fail to facilitate the specific or current needs and preferences of the in idual. A proposed alternative is a digital platform that hosts a suite of discrete, already existing digital health interventions. A platform architecture would allow users to explore a range of evidence-based solutions over time to optimize their self-management and health behavior change. This review aims to identify digital platform-like interventions and examine their potential for supporting self-management of NCDs and health behavior change. A literature search was conducted in January 2020 using EBSCOhost, PubMed, Scopus, and EMBASE. No digital platforms were identified, so criteria were broadened to include digital platform-like interventions. Eligible platform-like interventions offered a suite of discrete, evidence-based health behavior change features to optimize self-management of NCDs in an adult population and provided digitally supported guidance for the user toward the features best suited to their needs and preferences. Data collected on interventions were guided by the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist, including evaluation data on effectiveness and process outcomes. The quality of the included literature was assessed using the Mixed Methods Appraisal Tool. A total of 7 studies were included for review. Targeted NCDs included cardiovascular diseases (CVD n=3), diabetes (n=3), and chronic obstructive pulmonary disease (n=1). The mean adherence (based on the number of follow-up responders) was 69% (SD 20%). Of the 7 studies, 4 with the highest adherence rates (80%) were also guided by behavior change theories and took an iterative, user-centered approach to development, optimizing intervention relevance. All 7 interventions presented algorithm-supported user guidance tools, including electronic decision support, smart features that interact with patterns of use, and behavior change stage-matching tools. Of the 7 studies, 6 assessed changes in behavior. Significant effects in moderate-to-vigorous physical activity were reported, but for no other specific health behaviors. However, positive behavior change was observed in studies that focused on comprehensive behavior change measures, such as self-care and self-management, each of which addresses several key lifestyle risk factors (eg, medication adherence). No significant difference was found for psychosocial outcomes (eg, quality of life). Significant changes in clinical outcomes were predominately related to disease-specific, multifaceted measures such as clinical disease control and cardiovascular risk score. Iterative, user-centered development of digital platform structures could optimize user engagement with self-management support through existing, evidence-based digital interventions. Offering a palette of interventions with an appropriate degree of guidance has the potential to facilitate disease-specific health behavior change and effective self-management among a myriad of users, conditions, or stages of care.
Publisher: JMIR Publications Inc.
Date: 12-08-2021
Abstract: dvancements in digital technologies seek to promote health and access to services. However, people lacking abilities and confidence to use technology are likely to be left behind, leading to health disparities. In providing digital health services, health care providers need to be aware of users’ erse electronic health (eHealth) literacy to address their particular needs and ensure equitable uptake and use of digital services. To understand such needs, an instrument that captures users’ knowledge, skills, trust, motivation, and experiences in relation to technology is required. The eHealth Literacy Questionnaire (eHLQ) is a multidimensional tool with 7 scales covering erse dimensions of eHealth literacy. The tool was simultaneously developed in English and Danish using a grounded and validity-driven approach and has been shown to have strong psychometric properties. his study aims to translate and culturally adapt the eHLQ for application among Mandarin-speaking people with chronic diseases in Taiwan and then undertake a rigorous set of validity-testing procedures. he cross-cultural adaptation of the eHLQ included translation and evaluation of the translations. The measurement properties were assessed using classical test theory and item response theory (IRT) approaches. Content validity, known-group validity, and internal consistency were explored, as well as item characteristic curves (ICCs), item discrimination, and item location/difficulty. he adapted version was reviewed, and a recommended forward translation was confirmed through consensus. The tool exhibited good content validity. A total of 420 people with 1 or more chronic diseases participated in a validity-testing survey. The eHLQ showed good internal consistency (Cronbach α=.75-.95). For known-group validity, all 7 eHLQ scales showed strong associations with education. Unidimensionality and local independence assumptions were met except for scale 2. IRT analysis showed that all items demonstrated good discrimination (range 0.27-12.15) and a good range of difficulty (range 0.59-1.67) except for 2 items in scale 7. sing a rigorous process, the eHLQ was translated from English into a culturally appropriate tool for use in the Mandarin language. Validity testing provided evidence of satisfactory-to-strong psychometric properties of the eHLQ. The 7 scales are likely to be useful research tools for evaluating digital health interventions and for informing the development of health technology products and interventions that equitably suit erse users’ needs.
Publisher: JMIR Publications Inc.
Date: 02-05-2018
Abstract: n iduals with chronic obstructive pulmonary disease (COPD) live with the burden of a progressive life-threatening condition that is often accompanied by anxiety and depression. The severity of the condition is usually considered from a clinical perspective and characterized according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification of severity (1-4) and a risk assessment (A through D) that focuses on the patient’s symptoms and number of exacerbations, but information about perceived health or ability to manage the condition are rarely included. e evaluated 3 patient-reported outcome measurements (PROMs) to examine how these can be used to report on in iduals with COPD who were supported by a digitally assisted intervention that aims to increase the patient’s management of their condition to improve their well-being. total of 93 in iduals with COPD were enrolled. At baseline and after 6 and 12 months, we measured self-reported self-management (Health Education Impact Questionnaire, heiQ) and health literacy (Health Literacy Questionnaire, HLQ), and physical and mental health (Short Form-36, SF-36) PROMs were collected. The scores of the 19 PROM dimensions were related to COPD severity, that is, GOLD risk assessment, pulmonary function at entry, and number of exacerbations of a period up to 12 months. The initial PROM scores were also compared with pulmonary function, exacerbations, and GOLD risk assessment to predict the number of contacts within the first 90 days. t baseline, 2 dimensions from heiQ and SF-36 Physical health differed significantly between GOLD risk factor groups, indicating more distress and poorer attitudes and health status with increasing severity (GOLD risk assessment). Pulmonary function (FEV1) was negatively associated with the severity of the condition. After 6 months, we observed an increase in heiQ6 (skill and technique acquisition) and a reduction in emotional distress. The latter effect persisted after 12 months, where heiQ4 (self-monitoring and insight) also increased. HLQ3 (actively managing my health) decreased after 6 and 12 months. The number of exacerbations and the GOLD risk factor assessment predicted the number of contacts during the first 90 days. Furthermore, 2 of the PROMS heiQ6 (skill and technique acquisition) and HLQ8 (ability to find good health information) evaluated at baseline were associated with the number of contacts within the first 90 after enrollment. The pulmonary function was not associated with the number of contacts. ur data suggest that selected dimensions from HLQ, heiQ, and SF-36 can be used as PROMs in relation to COPD to provide researchers and clinicians with greater insight into how this condition affects in iduals’ ability to understand and manage their condition and perception of their physical and mental health. The PROMs add to the information obtained with the clinical characteristics including the GOLD risk factor assessment. R2-10.2196/resprot.6506
Publisher: JMIR Publications Inc.
Date: 12-07-2017
Start Date: 03-2018
End Date: 10-2023
Amount: $2,962,655.00
Funder: Australian Research Council
View Funded Activity