Development and Validation of a Malay Version Questionnaire to Evaluate Remote Health Monitoring of COVID-19 via Telehealth Applications: Navigating Telehealth Evolution.

Introduction The rapid adoption of telehealth services due to the COVID-19 pandemic has highlighted the necessity for effective tools to evaluate patient experiences. This study developed and validated the Telehealth Usability, Acceptability, and Satisfaction Questionnaire (TUASQ) for virtual COVID-19 Assessment Centres (CACs) in Malaysia, aiming to comprehensively measure usability, acceptability, and satisfaction. Methodology The TUASQ was developed in two phases. Initially, the questionnaire development phase included item generation guided by the Technology Acceptance Model (TAM) and the Health Belief Model (HBM), with feedback from a panel of six experts. Items were refined through Content Validity Index (CVI) - Item-Level Content Validity Index (I-CVI) ≥ 0.82, Scale-Level Content Validity Index (S-CVI) ≥ 0.82, and Content Validity Ratio (CVR ≥ 0.78); and Face Validity Index (FVI) by 10 respondents - Item-Level Face Validity Index (I-FVI) ≥ 0.82 and Scale-Level Face Validity Index (S-FVI ≥ 0.82). The psychometric validation phase involved a cross-sectional study of 705 respondents, recruited through convenience sampling from March to July 2024, to perform Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), followed by reliability testing using Cronbach's alpha, Composite Reliability (CR), and Average Variance Extracted (AVE). Results Content validation showed that most items' I-CVI exceeded 0.82, indicating significant expert consensus on relevance and clarity. The CVR also surpassed the 0.78 threshold, affirming their essential role. Face validation indices generally exceeded 0.80, confirming the questionnaire's clarity and comprehensiveness from the users' perspective. EFA with 250 participants indicated a high Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) of 0.933 and significant Bartlett's test (χ² (136) = 3752.698, p < 0.001), supporting the factorability of the data and extracting three distinct factors. CFA with 455 participants initially showed a poor fit, prompting model adjustments that subsequently improved the fit indices (Root Mean Square Error of Approximation (RMSEA) = 0.076, Standardized Root Mean Square Residual (SRMR) = 0.045, Goodness of Fit Index (GFI) = 0.94, Tucker-Lewis Index (TLI) = 0.96, Comparative Fit Index (CFI) = 0.97). Reliability testing revealed a high internal consistency with Cronbach's alpha of 0.975. CR for each factor exceeded the 0.70 threshold, and the AVE for each factor was above 0.50, indicating good convergent validity. Conclusion The validated TUASQ is a reliable and effective instrument for assessing the experiences of Malaysian patients using virtual CAC. Demonstrating robust psychometric properties through comprehensive validation processes, the TUASQ accurately measures usability, acceptability, and satisfaction, identifying strengths and areas for improvement in telehealth services. This contributes to enhanced care quality and patient satisfaction in the evolving healthcare landscape.

"Addressing barriers to digital health readiness among a Latino population".

Objective: There are many potential barriers to an individual's readiness and ability to use telehealth, including technology access, trust and knowledge. This qualitative study was a partnership between Jefferson and Esperanza Health Center (EHC), focused on addressing barriers to digital readiness among the Latino population served by EHC. Methods: We conducted semi-structured interviews with Latino patients to assess their experiences with technology and willingness to learn more about technology for healthcare. Interviews were transcribed, coded, and analyzed using a content analysis approach. Results: We completed 28 interviews. Most interviews (n = 23, 82 %) were conducted in Spanish. Barriers to using health technology included forgetting passwords, platforms not being available in multiple languages, and lacking digital skills. Conclusion: Participants identified a need and interest in receiving support to develop technological skills needed to access health information and engage in digital health services. Future work is needed to develop patient-centered interventions to support the digital health readiness needs of underserved populations. Innovation: Healthcare systems and community health organizations can partner to build the capacity of community members to identify barriers in digital health use. These partnerships have the potential to empower communities to create culturally sensitive interventions that aim to increase digital health literacy.

Understanding citizens' attitudes within user-centered digital health ecosystems: A sequential mixed method methodology including a web-survey.

Objective: Transitioning from digital health applications to digital health ecosystems, leveraging the advances in technologies and informatics, could be the next revolution in digital health. This includes offering centralized access to various health services and improving citizens' well-being, delivery, clinical processes, and data management. However, a limited understanding of citizens may impede adaptation. Therefore, this study investigates citizens' attitudes within digital health ecosystems, differentiated by their characteristics, to support health service-providers and governmental policymakers in establishing user-centered solutions. Methods: This study follows a three-step sequential mixed method methodology: (1) a literature review. (2) Qualitative thematic analyses based on semi-structured qualitative interviews. (3) Quantitative analyses based on a web-survey (descriptive statistics, one-way analysis of variances, Tukey-honestly, and Cohen's d tests). Results: N = 15 citizens were interviewed and n = 1289 responded to the web-survey, to our knowledge the largest survey on this topic. Citizens desire a more convenient management of health services and data (M = 5.2, SD = 1.59). Services with peer-to-peer interactions (M = 3.7, SD = 1.81) and lower involvement of health professionals (M = 3.8, SD = 1.75) are less demanded. Data protection is critical (M = 6.2, SD = 1.23). Public payers are mandated as orchestrators (M = 4.3, SD = 1.99), while private companies receive lower acceptance (M = 3.0, SD = 1.42). Conclusions: Health service-providers could follow a three-staged approach to establish digital health ecosystems: (1) Increasing the convenience for citizens by enabling online management of health services and data. (2) Extending the citizen-healthcare provider partnership through online interactions. (3) Fostering preventative behaviors and quicker recovery by personalizing health services and interactions. Governmental policymakers should integrate an electronic health record.

Perceived Acceptability of Technology Modalities for the Provision of Universal Child and Family Health Nursing Support in the First 6-8 Months After Birth: Cross-Sectional Study.

BACKGROUND: Child and Family Health Nursing (CFHN) services provide universal care to families during the first 2000 days (conception: 5 years) to support optimal health and developmental outcomes of children in New South Wales, Australia. The use of technology represents a promising means to encourage family engagement with CFHN services and enable universal access to evidenced-based age and stage information. Currently, there is little evidence exploring the acceptability of various models of technology-based support provided during the first 2000 days, as well as the maternal characteristics that may influence this. OBJECTIVE: This study aims to describe (1) the acceptability of technology-based models of CFHN support to families in the first 6 months, and (2) the association between the acceptability of technology-based support and maternal characteristics. METHODS: A cross-sectional survey was undertaken between September and November 2021 with women who were 6-8 months post partum within the Hunter New England Local Health District of New South Wales, Australia. Survey questions collected information on maternal demographics and pregnancy characteristics, perceived stress, access to CFHN services, as well as preferences and acceptability of technology-based support. Descriptive statistics were used to describe the characteristics of the sample, the proportion of women accessing CFHN services, maternal acceptability of technology-based support from CFHN services, and the appropriateness of timing of support. Multivariable logistic regression models were conducted to assess the association between maternal characteristics and the acceptability of technology-based CFHN support. RESULTS: A total of 365 women participated in the study, most were 25 to 34 years old (n=242, 68%), had completed tertiary level education or higher (n=250, 71%), and were employed or on maternity leave (n=280, 78%). Almost all (n=305, 89%) women reported accessing CFHN services in the first 6 months following their child's birth. The majority of women (n=282-315, 82%-92%) "strongly agreed or agreed" that receiving information from CFHN via technology would be acceptable, and most (n=308) women "strongly agreed or agreed" with being provided information on a variety of relevant health topics. Acceptability of receiving information via websites was significantly associated with maternal employment status (P=.01). The acceptability of receiving support via telephone and email was significantly associated with maternal education level (adjusted odds ratio 2.64, 95% CI 1.07-6.51; P=.03 and adjusted odds ratio 2.90, 95% CI 1.20-7.00; P=.02, respectively). Maternal age was also associated with the acceptability of email support (P=.04). CONCLUSIONS: Technology-based CFHN support is generally acceptable to mothers. Maternal characteristics, including employment status, education level, and age, were found to modify the acceptability of specific technology modalities. The findings of this research should be considered when designing technology-based solutions to providing universal age and stage child health and developmental support for families during the first 2000 days.

User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.

BACKGROUND: There are numerous mobile health (mHealth) interventions for treatment adherence and self-management; yet, little is known about user engagement or interaction with these technologies. OBJECTIVE: This systematic review aimed to answer the following questions: (1) How is user engagement defined and measured in studies of mHealth interventions to promote adherence to prescribed medical or health regimens or self-management among people living with a health condition? (2) To what degree are patients engaging with these mHealth interventions? (3) What is the association between user engagement with mHealth interventions and adherence or self-management outcomes? (4) How often is user engagement a research end point? METHODS: Scientific database (Ovid MEDLINE, Embase, Web of Science, PsycINFO, and CINAHL) search results (2016-2021) were screened for inclusion and exclusion criteria. Data were extracted in a standardized electronic form. No risk-of-bias assessment was conducted because this review aimed to characterize user engagement measurement rather than certainty in primary study results. The results were synthesized descriptively and thematically. RESULTS: A total of 292 studies were included for data extraction. The median number of participants per study was 77 (IQR 34-164). Most of the mHealth interventions were evaluated in nonrandomized studies (157/292, 53.8%), involved people with diabetes (51/292, 17.5%), targeted medication adherence (98/292, 33.6%), and comprised apps (220/292, 75.3%). The principal findings were as follows: (1) >60 unique terms were used to define user engagement; "use" (102/292, 34.9%) and "engagement" (94/292, 32.2%) were the most common; (2) a total of 11 distinct user engagement measurement approaches were identified; the use of objective user log-in data from an app or web portal (160/292, 54.8%) was the most common; (3) although engagement was inconsistently evaluated, most of the studies (99/195, 50.8%) reported >1 level of engagement due to the use of multiple measurement methods or analyses, decreased engagement across time (76/99, 77%), and results and conclusions suggesting that higher engagement was associated with positive adherence or self-management (60/103, 58.3%); and (4) user engagement was a research end point in only 19.2% (56/292) of the studies. CONCLUSIONS: The results revealed major limitations in the literature reviewed, including significant variability in how user engagement is defined, a tendency to rely on user log-in data over other measurements, and critical gaps in how user engagement is evaluated (infrequently evaluated over time or in relation to adherence or self-management outcomes and rarely considered a research end point). Recommendations are outlined in response to our findings with the goal of improving research rigor in this area. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42022289693; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022289693.

Digital Intervention to Improve Health Services for Young People in Zimbabwe: Process Evaluation of 'Zvatinoda!' (What We Want) Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) Framework.

BACKGROUND: Youth in Southern Africa face a high burden of HIV and sexually transmitted infections, yet they exhibit low uptake of health care services. OBJECTIVE: The Zvatinoda! intervention, co-designed with youth, aims to increase the demand for and utilization of health services among 18-24-year-olds in Chitungwiza, Zimbabwe. METHODS: The intervention utilized mobile phone-based discussion groups, complemented by "ask the expert" sessions. Peer facilitators, supported by an "Auntie," led youth in anonymous online chats on health topics prioritized by the participants. Feedback on youth needs was compiled and shared with health care providers. The intervention was tested in a 12-week feasibility study involving 4 groups of 7 youth each, totaling 28 participants (n=14, 50%, female participants), to evaluate feasibility and acceptability. Mixed methods process evaluation data included pre- and postintervention questionnaires (n=28), in-depth interviews with participants (n=15) and peer facilitators (n=4), content from discussion group chats and expert guest sessions (n=24), facilitators' debrief meetings (n=12), and a log of technical challenges. Descriptive quantitative analysis and thematic qualitative analysis were conducted. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework was adapted to analyze and present findings on (1) reach, (2) potential efficacy, (3) adoption, (4) implementation, and (5) maintenance. RESULTS: Mobile delivery facilitated engagement with diverse groups, even during COVID-19 lockdowns (reach). Health knowledge scores improved from pre- to postintervention across 9 measures. Preintervention scores varied from 14% (4/28) for contraception to 86% (24/28) for HIV knowledge. After the intervention, all knowledge scores reached 100% (28/28). Improvements were observed across 10 sexual and reproductive health (SRH) self-efficacy measures. The most notable changes were in the ability to start a conversation about SRH with older adults in the family, which increased from 50% (14/28) preintervention to 86% (24/28) postintervention. Similarly, the ability to use SRH services even if a partner does not agree rose from 57% (16/28) preintervention to 89% (25/28) postintervention. Self-reported attendance at a health center in the past 3 months improved from 32% (9/28) preintervention to 86% (24/28) postintervention (potential efficacy). Chat participation varied, largely due to network challenges and school/work commitments. The key factors facilitating peer learning were interaction with other youth, the support of an older, knowledgeable "Auntie," and the anonymity of the platform. As a result of COVID-19 restrictions, regular feedback to providers was not feasible. Instead, youth conveyed their needs to stakeholders through summaries of key themes from chat groups and a music video presented at a final in-person workshop (adoption and implementation). Participation in discussions decreased over time. To maintain engagement, introducing an in-person element was suggested (maintenance). CONCLUSIONS: The Zvatinoda! intervention proved both acceptable and feasible, showing promise for enhancing young people's knowledge and health-seeking behavior. Potential improvements include introducing in-person discussions once the virtual group has established rapport and enhancing feedback and dialog with service providers.

From Digital Inclusion to Digital Transformation in the Prevention of Drug-Related Deaths in Scotland: Qualitative Study.

BACKGROUND: Globally, drug-related deaths (DRDs) are increasing, posing a significant challenge. Scotland has the highest DRD rate in Europe and one of the highest globally. The Scottish Government launched the Digital Lifelines Scotland (DLS) program to increase the provision of digital technology in harm reduction services and other support services. Digital technology responses to DRDs can include education through digital platforms, improved access to treatment and support via telehealth and mobile apps, analysis of data to identify risk factors, and the use of digital tools for naloxone distribution. However, digital technology should be integrated into a comprehensive approach that increases access to services and addresses underlying causes. Digital transformation could enhance harm reduction service and support, but challenges must be addressed for successful implementation. The DLS program aims to enhance digital inclusion and improve health outcomes for people who use or are affected by drug use to reduce the risk of DRDs. OBJECTIVE: This study aims to explore the role of digital technology as an enabler and supporter in enhancing existing services and innovating new solutions, rather than being a stand-alone solution. Specifically focusing on individuals who use drugs, the research investigates the potential of digital inclusion and technology provision for preventing DRDs within the context of the DLS program. METHODS: Semistructured interviews were conducted with 47 people: 21 (45%) service users, 14 (30%) service providers, and 12 (26%) program staff who were all involved in DLS. Interviews were audio recorded, transcribed, and then coded. Analysis was done in three phases: (1) thematic analysis of interview data to identify the benefits of digital technologies in this sector; (2) identification of the challenges and enablers of using digital technologies using the Technology, People, Organizations, and Macroenvironment conceptual framework; and (3) mapping digital technology provision to services offered to understand the extent of digital transformation of the field. RESULTS: Participants identified increased connectivity, enhanced access to services, and improved well-being as key benefits. Digital devices facilitated social connections, alleviated loneliness, and fostered a sense of community. Devices enabled engagement with services and support workers, providing better access to resources. In addition, digital technology was perceived as a preventive measure to reduce harmful drug use. Lack of technical knowledge, organizational constraints, and usability challenges, including device preferences and security issues, were identified. CONCLUSIONS: The study found that digital inclusion through the provision of devices and connections has the potential to enhance support in the harm reduction sector. However, it highlighted the limitations of existing digital inclusion programs in achieving comprehensive digital transformation. To progress, there is a need for sustained engagement, cultural change, and economic considerations to overcome barriers.

Smartphone-Based Digital Peer Support for a Walking Intervention Among Public Officers in Kanagawa Prefecture: Single-Arm Pre- and Postintervention Evaluation.

BACKGROUND: Digital peer support, defined as peer support delivered through technology such as smartphone apps, may be promising to promote activity in the form of step counts. Interactions among users have a positive impact on retention rates, and apps with social elements show significant improvements in daily step count. However, the feasibility of digital peer support in promoting physical activity (PA) is unknown; therefore, its effectiveness on step count and the clinical implications remain unconfirmed. OBJECTIVE: This study aimed to assess the feasibility of digital peer support over a 3-month intervention period using the retention rate as the outcome. Moreover, changes in daily step count and physical measurements were compared between pre- and postintervention. METHODS: The study design was a 3-month 1-arm intervention with participants from local government offices in Kanagawa, Japan. We used an available smartphone app, Minchalle, as the tool for the group intervention. Participants were required to report their daily step count to a maximum of 5 members composed exclusively of study participants. The primary outcome was the retention rate. Secondary outcomes included daily step count, the rate of achieving daily step goals, physical measurements, and lifestyle characteristics. Descriptive statistics and the Pearson coefficient were used to examine the relationship between goal achievement and step count, as well as changes in step count and various variables including physical measurements. RESULTS: Of the 63 participants, 62 completed the intervention. The retention rate was 98% (62/63). The average daily step count during the intervention was 6993 (SD 2328) steps, an 1182-step increase compared with the count observed 1 week before the intervention began. The rate of achieving the daily step count during the intervention was 53.5% (SD 26.2%). There was a significant correlation (r=0.27, P=.05) between achieving daily step goals and increasing daily step count. Comparative analyses showed that changes in weight (68.56, SD 16.97 kg vs 67.30, SD 16.86 kg; P<.001), BMI (24.82, SD 4.80 kg/m2 vs 24.35, SD 4.73 kg/m2; P<.001), somatic fat rate (28.50%, SD 7.44% vs 26.58%, SD 7.90%; P=.005), systolic blood pressure (130.42, SD 17.92 mm Hg vs 122.00, SD 15.06 mm Hg; P<.001), and diastolic blood pressure (83.24, SD 13.27 mm Hg vs 77.92, SD 11.71 mm Hg; P=.002) were significantly different before and after the intervention. Similarly, the daily amount of PA significantly improved from 5.77 (SD 3.81) metabolic equivalent (MET)-hours per day to 9.85 (SD 7.84) MET-hours per day (P<.001). CONCLUSIONS: This study demonstrated that digital peer support is feasible for maintaining a high retention rate and can, therefore, effectively promote PA. It can be a promising tool to improve daily step count, subjective PA, and clinical outcomes, such as weight and somatic fat rate. TRIAL REGISTRATION: UMIN Clinical Trials Registry UMIN000042520; https://tinyurl.com/46c4nm8z.

Self-Management Systems for Patients and Clinicians in Parkinson Care: Protocol for an Integrated Scoping Review, Product Search, and Evaluation.

BACKGROUND: Parkinson disease (PD) poses emotional and financial challenges to patients, families, caregivers, and health care systems. Self-management systems show promise in empowering people with PD and enabling more control over their treatment. The collaborative nature of PD care requires communication between patients and health care professionals. While past reviews explored self-management systems in PD diagnosis and symptom management with a focus on patient portals, there is limited research addressing the interconnectivity of systems catering to the needs of both patients and clinicians. A system's acceptability and usability for clinicians are pivotal for enabling comprehensive data collection and supporting clinical decision-making, which can enhance patient care and treatment outcomes. OBJECTIVE: This review study aims to assess PD self-management systems that include a clinician portal and to determine which features enhance acceptability and usability for clinicians. The primary aim is to assess evidence of clinicians' acceptability and usability of self-management systems with a focus on the integration of systems into clinical workflows, data collection points, monitoring, clinical decision-making support, and extended education and training. METHODS: The review will entail 3 separate stages: a literature review following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, a product search, and an evaluation of the level of evidence for the identified products. For the first stage, 5 databases will be searched: PubMed, CINAHL, Scopus, ACM digital library, and IEEE Xplore. Studies eligible for inclusion will be qualitative, quantitative, and mixed methods studies examining patients' and clinician's perceptions of the acceptability and usability of digital health interventions, synthesized by a narrative qualitative analysis. A web search in the iOS Apple App Store and Android Google Play Store will identify currently available tools; the level of evidence for these will then be assessed using the Oxford Centre for Evidence-Based Medicine guidelines. RESULTS: Literature search and screening began soon after submission of the protocol, and the review is expected to be completed by end of September 2024. CONCLUSIONS: This review will examine currently available self-management systems in PD care, focusing on their acceptability and usability. This is significant because there is limited research addressing the integration of clinicians into these systems. The findings from this study may provide critical knowledge and insight to help inform future research and will contribute to the design of self-management systems that promote collaborative efforts in PD care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/58845.

Implementing a National Nursing and Midwifery Digital Health Capability Framework: Exploring Knowledge, Experience in Informatics and Barriers and Enablers.

A National Nursing and Midwifery Digital Health Capability Framework was developed in 2020 to define and complement digital health knowledge and skills for professional practice. This mixed-methods study explored nurses' and midwives' Framework knowledge and its applicability, types and extent of nursing and midwifery informatics roles, and barriers and enablers to working in informatics. Survey respondents reported familiarity with the Framework, with content analysis identifying three themes - informatics as part of nursing or midwifery roles, descriptions and variability of informatics roles, and the need for informatics role development and recognition. Framework knowledge can be improved through standardised and defined roles and a career pathway that includes national, organisational, local, and individual support.

Innovate, Educate, Elevate: Empowering Tomorrow's Health Professionals Through a Contemporary Learning Module in Digital Transformation of Health.

This manuscript describes the conception and development of a novel, innovative digital health and informatics learning module designed specifically for entry-to-practice physiotherapy university programs. The design process involved consultation with stakeholders, alignment with contemporary digital health competency guidelines for health professional education, and educational design workshopping with faculty to ensure relevance and success. Key curriculum components include modules on health system transformation, design-thinking approaches, solution refinement and innovation pitching in the context of digital health. The subject intended learning outcomes (SILOs) were focused on digital health transformation, addressing the need for a curriculum on digital health transformation. This tertiary module aims to equip university graduates with essential knowledge and skills to thrive in a digitally enabled healthcare system by offering this framework for future health professional education in the digital age.

A Digital Health Humanities Approach to the Three-Body Problem in Healthcare Education: Balancing the Science, Art and Tech with M.A.G.I.C.

In the provision of patient-centered care, healthcare professionals face a challenging triad that is analogous to the classical "Three-Body Problem" in physics, whereby any shifts in the dynamics of medical knowledge, narrative competence and digital technologies can tip the balance of healthcare education and practice. Drugs/Medications are often caught in the dichotomy of being both "heroes" and "villains", which underscores the necessity of a balanced, informed, and empathetic approach to patient care. Drawing inspiration from the popular novel and Netflix series, the dynamic interplay between the science of medical knowledge, the art of empathy and narrative competence, and the advancement of healthcare technologies to harmonise the diverse, yet interconnected domains, of medication management, medical humanities and digital health is demonstrated - in the emerging field of Digital Health Humanities. The novel project called M.A.G.I.C. is revealed, that blends the rigour of medical science with the nuanced understanding of patient narratives, and the cutting-edge potential of digital innovations like Generative Artificial Intelligence and the Metaverse, to create a holistic, learner-centered approach for the education of the healthcare professions.

Digital Competencies for Health Service Managers: Educating for Transformation.

Healthcare in the 21st century is experiencing tumultuous times of turbulent and tortuous change, characterised by an aging population, an increasing chronic disease burden, and inadequate workforce capacity to meet this burgeoning demand. The development of digital capabilities for health service managers of today and tomorrow requires an approach that transcends traditional adult learning education and training trajectories. A five-step process for developing an andragogical approach to health service management competency development in the digital context is proposed. This process includes qualifying the capabilities required of health service managers in the digital age and expediating digital transformation within the Australian healthcare environment, informed by empirical research; linking teaching approaches for digital health using the five tenets of adult learning; and coalescing the competencies needed to contextualise knowledge and skills development requirements for the 5th Industrial Revolution. Importantly, formal and informal education and training for health service managers should focus on competency transferability, which requires trainers and educators to understand the transforming context and challenges facing health service managers in the healthcare industry. It is incumbent on the digital health community to build capacity and enable workforce development to inculcate sustainable influence for lasting change in the healthcare system.

An Exploration of the Certified Health Informatician Australasia (CHIA) Participants Over 10 Years.

An urgent global imperative is to ensure health workforces have a solid digital health capability to deliver consumer-centred services now and into the future. To address a lack of formal recognition of health informatics knowledge and skills in Australia, the Certified Health Informatician Australasian (CHIA) was launched ten years ago. In that time, 3125 CHIA candidates registered to have their capabilities assessed using a core set of health informatics competencies. This paper presents the demographic profile of people undertaking the examination and trend data of the pass rate over the decade, and identifies possible factors that may lead to higher achievement. Certifications such as CHIA are critical in the professionalisation of digital health specialists and health informatics.

Combatting Postnatal Depression: Exploring the Role of Serious Games in New Parent Support.

This study makes innovative use of digital and serious games technologies as well as early detection innovations that work with perinatal infant mental health (PIMH) clinicians to help new parents and parents during pregnancy, including both birthing and non-birthing parents, combat social stigma towards postnatal depression.

The Impact of Home Medication Management Practices on Medication Adherence.

Medication adherence is a vexing challenge, with over 50% of US adults not adhering to their prescribed medication regimen. Most medications are self-administered by patients at home, requiring them to independently develop and manage their own medication routines. By understanding these home-based practices, such as where patients store their medications and how different storage locations impact adherence, we can develop targeted interventions to improve adherence rates. Our goal was to identify and categorize self-reported home medication management practices and determine which practices are associated with self-reported medication adherence. From the 1673 total survey respondents we learned that the most common places people store their medications at home are nightstand drawers (28%), on top of nightstands (27%), kitchen cabinets (22%), and bathroom medicine cabinets (20%). Kitchen cabinets and bathroom vanities were significantly associated with increased odds of having ever forgotten to take a medication. On the other hand, desks, dining room tables, and the inside of nightstand drawers were associated with the greatest statistically significant decrease in odds of having ever forgotten to take a medication. Almost all (96%) respondents were receptive to receiving guidance from healthcare providers on how to store medications. Patients are largely responsible for creating their own home medication management practices, including deciding where to store their medication at home. Understanding which home storage locations are associated with medication adherence can lead to innovative approaches to improve adherence, including personalized guidance to patients from their healthcare providers for patients.

In Silico Decoding of Parkinson's: Speech & Writing Analysis.

Background: Parkinson's disease (PD) has transitioned from a rare condition in 1817 to the fastest-growing neurological disorder globally. The significant increase in cases from 2.5 million in 1990 to 6.1 million in 2016, coupled with predictions of a further doubling by 2040, underscores an impending healthcare challenge. This escalation aligns with global demographic shifts, including rising life expectancy and a growing global population. The economic impact, notably in the U.S., reached $51.9 billion in 2017, with projections suggesting a 46% increase by 2037, emphasizing the substantial socio-economic implications for both patients and caregivers. Coupled with a worldwide demand for health workers that is expected to rise to 80 million by 2030, we have fertile ground for a pandemic. Methods: Our transdisciplinary research focused on early PD detection through running speech and continuous handwriting analysis, incorporating medical, biomedical engineering, AI, and linguistic expertise. The cohort comprised 30 participants, including 20 PD patients at stages 1-4 on the Hoehn and Yahr scale and 10 healthy controls. We employed advanced AI techniques to analyze correlation plots generated from speech and handwriting features, aiming to identify prodromal PD biomarkers. Results: The study revealed distinct speech and handwriting patterns in PD patients compared to controls. Our ParkinsonNet model demonstrated high predictive accuracy, with F1 scores of 95.74% for speech and 96.72% for handwriting analyses. These findings highlight the potential of speech and handwriting as effective early biomarkers for PD. Conclusions: The integration of AI as a decision support system in analyzing speech and handwriting presents a promising approach for early PD detection. This methodology not only offers a novel diagnostic tool but also contributes to the broader understanding of PD's early manifestations. Further research is required to validate these findings in larger, diverse cohorts and to integrate these tools into clinical practice for timely PD pre-diagnosis and management.

User Experience of a Large-Scale Smartphone-Based Observational Study in Multiple Sclerosis: Global, Open-Access, Digital-Only Study.

BACKGROUND: The Floodlight Open app is a digital health technology tool (DHTT) that comprises remote, smartphone sensor-based tests (daily activities) for assessing symptoms of multiple sclerosis (MS). User acquisition, engagement, and retention remain a barrier to successfully deploying such tools. OBJECTIVE: This study aims to quantitatively and qualitatively investigate key user experience (UX) factors associated with the Floodlight Open app. METHODS: Floodlight Open is a global, open-access, digital-only study designed to understand the drivers and barriers in deploying a DHTT in a naturalistic setting without supervision and onboarding by a clinician. Daily activities included tests assessing cognition (Information Processing Speed and Information Processing Speed Digit-Digit), hand-motor function (Pinching Test and Draw a Shape Test), and postural stability and gait (Static Balance Test, U-Turn Test, and Two-Minute Walk Test [2MWT]). All daily activities except the 2MWT were taken in a fixed sequence. Qualitative UX was studied through semistructured interviews in a substudy of US participants with MS. The quantitative UX analysis investigated the impact of new UX design features on user engagement and retention in US participants for 3 separate test series: all daily activities included in the fixed sequence (DA), all daily activities included in the fixed sequence except the Static Balance Test and U-Turn Test (DAx), and the 2MWT. RESULTS: The qualitative UX substudy (N=22) revealed the need for 2 new UX design features: a more seamless user journey during the activation process that eliminates the requirement of switching back and forth between the app and the email that the participants received upon registration, and configurable reminders and push notifications to help plan and remind the participants to complete their daily activities. Both UX design features were assessed in the quantitative UX analysis. Introducing the more seamless user journey (original user journey: n=608; more seamless user journey: n=481) improved the conversion rate of participants who enrolled in the study and proceeded to successfully activate the app from 53.9% (328/608) to 74.6% (359/481). Introducing reminders and push notifications (with reminders and notifications: n=350; without reminders and notifications: n=172) improved continuous usage time (proportion of participants with ≥3 consecutive days of usage: DA and DAx: ~30% vs ~12%; 2MWT: ~30% vs ~20%); test completion rates (maximum number of test series completed: DA: 279 vs 64; DAx: 283 vs 126; 2MWT: 302 vs 76); and user retention rates (at day 30: DA: 53/172, 30.8% vs 34/350, 9.7%; DAx: 53/172, 30.8% vs 60/350, 17.1%; 2MWT: 39/172, 22.6% vs 22/350, 6.2%). Inactivity times remained comparable. CONCLUSIONS: The remote assessment of MS with DHTTs is a relatively nascent but growing field of research. The continued assessment and improvement of UX design features can play a crucial role in the successful long-term adoption of new DHTTs.

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.

BACKGROUND: Monitoring free-living physical activity (PA) through wearable devices enables the real-time assessment of activity features associated with health outcomes and provision of treatment recommendations and adjustments. The conclusions of studies on PA and health depend crucially on reliable statistical analyses of digital data. Data analytics, however, are challenging due to the various metrics adopted for measuring PA, different aims of studies, and complex temporal variations within variables. The application, interpretation, and appropriateness of these analytical tools have yet to be summarized. OBJECTIVE: This research aimed to review studies that used analytical methods for analyzing PA monitored by accelerometers. Specifically, this review addressed three questions: (1) What metrics are used to describe an individual's free-living daily PA? (2) What are the current analytical tools for analyzing PA data, particularly under the aims of classification, association with health outcomes, and prediction of health events? and (3) What challenges exist in the analyses, and what recommendations for future research are suggested regarding the use of statistical methods in various research tasks? METHODS: This scoping review was conducted following an existing framework to map research studies by exploring the information about PA. Three databases, PubMed, IEEE Xplore, and the ACM Digital Library, were searched in February 2024 to identify related publications. Eligible articles were classification, association, or prediction studies involving human PA monitored through wearable accelerometers. RESULTS: After screening 1312 articles, 428 (32.62%) eligible studies were identified and categorized into at least 1 of the following 3 thematic categories: classification (75/428, 17.5%), association (342/428, 79.9%), and prediction (32/428, 7.5%). Most articles (414/428, 96.7%) derived PA variables from 3D acceleration, rather than 1D acceleration. All eligible articles (428/428, 100%) considered PA metrics represented in the time domain, while a small fraction (16/428, 3.7%) also considered PA metrics in the frequency domain. The number of studies evaluating the influence of PA on health conditions has increased greatly. Among the studies in our review, regression-type models were the most prevalent (373/428, 87.1%). The machine learning approach for classification research is also gaining popularity (32/75, 43%). In addition to summary statistics of PA, several recent studies used tools to incorporate PA trajectories and account for temporal patterns, including longitudinal data analysis with repeated PA measurements and functional data analysis with PA as a continuum for time-varying association (68/428, 15.9%). CONCLUSIONS: Summary metrics can quickly provide descriptions of the strength, frequency, and duration of individuals' overall PA. When the distribution and profile of PA need to be evaluated or detected, considering PA metrics as longitudinal or functional data can provide detailed information and improve the understanding of the role PA plays in health. Depending on the research goal, appropriate analytical tools can ensure the reliability of the scientific findings.

Validation of the efficacy of a personalized information-provision and exercise-coaching app on the quality of life of menopausal women.

OBJECTIVES: Menopausal symptoms severely impact women's quality of life (QoL). Digital health interventions provide an accessible, personalized alternative for managing menopausal symptoms. In this study, we validated the Menopause Assistant Manager (MAMA®; Hudit, Seoul, S. Korea) app developed to provide personalized information, exercise coaching, and management of appointments and medications to menopausal women, and evaluated its efficacy on their QoL. STUDY DESIGN: This nonrandomized interventional trial enrolled 48 peri- and postmenopausal women into experimental (MAMA) and control (Waitlist) groups (n = 24 each). Participants in the MAMA group used the app for 8 weeks, whereas the Waitlist group received no intervention. Both groups continued their usual treatments. MAIN OUTCOME MEASURES: Clinical assessments at baseline and study completion included the World Health Organization Quality of Life Brief Version (WHOQOL-BREF), Menopause Rating Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-15 (PHQ-15), Menopause Emotional Symptom Questionnaire, and Subjective Memory Complaints Questionnaire. RESULTS: Compared with the Waitlist group, the MAMA group showed postintervention improvements in WHOQOL-BREF physical health (F = 4.84, P = .03) and environmental (F = 5.01, P = .03) domains and GAD-7 (F = 5.53, P = .02) and PHQ-15 (F = 4.14, P = .048) scores. Changes in WHOQOL-BREF physical health scores negatively correlated with PHQ-15 scores (ρ = -0.53, P = .004). CONCLUSION: By increasing treatment accessibility, the app improved physical and environmental QoL and reduced anxiety and somatic symptoms. App-based exercise coaching alleviated somatic symptoms, and the in-app psychological content reduced anxiety by normalizing menopausal symptoms, providing accurate information, decreasing uncertainty, and improving symptom perception. TRIAL REGISTRATION: Clinical Research Information Service KCT 0008603; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=25078&status=5&seq_group=25078&search_page=M.