Bridging healthcare gaps: a scoping review on the role of artificial intelligence, deep learning, and large language models in alleviating problems in medical deserts.

"Medical deserts" are areas with low healthcare service levels, challenging the access, quality, and sustainability of care. This qualitative narrative review examines how artificial intelligence (AI), particularly large language models (LLMs), can address these challenges by integrating with e-Health and the Internet of Medical Things to enhance services in under-resourced areas. It explores AI-driven telehealth platforms that overcome language and cultural barriers, increasing accessibility. The utility of LLMs in providing diagnostic assistance where specialist deficits exist is highlighted, demonstrating AI's role in supplementing medical expertise and improving outcomes. Additionally, the development of AI chatbots offers preliminary medical advice, serving as initial contact points in remote areas. The review also discusses AI's role in enhancing medical education and training, supporting the professional development of healthcare workers in these regions. It assesses AI's strategic use in data analysis for effective resource allocation, identifying healthcare provision gaps. AI, especially LLMs, is seen as a promising solution for bridging healthcare gaps in "medical deserts," improving service accessibility, quality, and distribution. However, continued research and development are essential to fully realize AI's potential in addressing the challenges of medical deserts.

Utilizing deep learning models in an intelligent spiral drawing classification system for Parkinson's disease classification.

Introduction: Parkinson's disease (PD) is a neurodegenerative illness that impairs normal human movement. The primary cause of PD is the deficiency of dopamine in the human brain. PD also leads to several other challenges, including insomnia, eating disturbances, excessive sleepiness, fluctuations in blood pressure, sexual dysfunction, and other issues. Methods: The suggested system is an extremely promising technological strategy that may help medical professionals provide accurate and unbiased disease diagnoses. This is accomplished by utilizing significant and unique traits taken from spiral drawings connected to Parkinson's disease. While PD cannot be cured, early administration of drugs may significantly improve the condition of a patient with PD. An expeditious and accurate clinical classification of PD ensures that efficacious therapeutic interventions can commence promptly, potentially impeding the advancement of the disease and enhancing the quality of life for both patients and their caregivers. Transfer learning models have been applied to diagnose PD by analyzing important and distinctive characteristics extracted from hand-drawn spirals. The studies were carried out in conjunction with a comparison analysis employing 102 spiral drawings. This work enhances current research by analyzing the effectiveness of transfer learning models, including VGG19, InceptionV3, ResNet50v2, and DenseNet169, for identifying PD using hand-drawn spirals. Results: Transfer machine learning models demonstrate highly encouraging outcomes in providing a precise and reliable classification of PD. Actual results demonstrate that the InceptionV3 model achieved a high accuracy of 89% when learning from spiral drawing images and had a superior receiver operating characteristic (ROC) curve value of 95%. Discussion: The comparison results suggest that PD identification using these models is currently at the forefront of PD research. The dataset will be enlarged, transfer learning strategies will be investigated, and the system's integration into a comprehensive Parkinson's monitoring and evaluation platform will be looked into as future research areas. The results of this study could lead to a better quality of life for Parkinson's sufferers, individualized treatment, and an early classification.

[Digital health applications-What we should know as rheumatologists]. / Digitale Gesundheitsanwendungen ­ was sollten wir als Rheumatolog:innen wissen.

Digital health applications (DHAs) are revolutionising patient care by improving access to evidence-based therapy and promoting active self-management. The continuously growing number of DHAs enables patients to act more independently through digital support. The budget-neutral prescription and cost coverage by statutory health insurance companies reduce financial barriers for practitioners and patients. Initial studies show that DHAs can be used successfully to treat comorbidities and rheumatic diseases. Several DHAs for inflammatory rheumatic diseases are at an advanced stage of development. The identification of suitable patients and support through shared decision making are crucial for successful implementation. Challenges remain in adherence and acceptance of the applications. This article provides an overview of prescription in clinical routine, initial data and experiences from the reality of rheumatology care, and reports on current developments.

Evaluation of the risk of hypothyroidism and its clinical manifestations using the Zulewski scale.

Background: Globally, clinical hypothyroidism affects an estimated 0.5 to 5% of the population, while subclinical hypothyroidism affects 5-20%. Limited data is available on the prevalence of thyroid disease within the Mexican population. The objective of this study was to describe the characteristics of people screened for hypothyroidism in Mexico during 2022 using the Zulewski scale. Methods: A cross-sectional analysis was conducted using data obtained from a digital survey administered by an e-Health platform. This study included participants of all genders, aged 18 years and older (n = 31,449). Descriptive statistics (frequencies and percentages) were sued to describe the data. Differences between groups were assessed through the chi-square or Fischer's exact test. Information gathered was subjected to hierarchical segmentation analysis to explore trends and patterns. Statistical significance was set as <0.05. Results: Among the participants, 87.7% were women, and 80% fell within the age group 18 and 44 years. According to the Zulewski scale, 27% of the participants had a low risk of hypothyroidism, 37.4% were classified as having an intermediate risk, and 35.6% were at a high risk. In people at high risk of hypothyroidism, the most common symptom was constipation (29.2%) whereas the most common sign was decreased speed of movement (26.2%). Inquiry of slow movements, dry skin, and facial edema allowed the identification of 90.2% of participants at high risk of hypothyroidism. Conclusions: In Mexico, a significant portion of the population is at an intermediate or high risk of hypothyroidism, requiring confirmatory diagnostic tests.

Effectiveness of e-health interventions for chemotherapy-induced nausea and vomiting: a systematic review and meta-analysis.

INTRODUCTION: The goal of this systematic review was to examine the effectiveness of e-health interventions for chemotherapy-induced nausea and vomiting (CINV). METHODS: A literature search was conducted across the databases of PubMed, Web of Science, Embase, CINAHL, and Cochrane Library from database establishment to 3 March 2024. We included randomized controlled trials in English where the intervention group was via e-health. Two reviewers independently carried out the screening, data extraction, and quality appraisal of the studies. Using Stata 17.0, meta-analyses were conducted to synthesize the effects of outcomes of interest. RESULTS: A total of 6663 studies were retrieved, with only 8 RCTs meeting criteria, involving 620 patients. Meta-analysis revealed that e-health interventions significantly reduce CINV severity (MD = - 7.687; 95% CI - 11.903, - 3.326; p < 0.001). However, results regarding CINV incidence reduction and quality of life improvement are inconclusive due to variations in intervention content, modality, and frequency among studies. CONCLUSIONS: e-health interventions may reduce the severity and incidence of CINV, while enhancing quality of life. However, the results should be interpreted cautiously. Higher quality studies are needed in the future to further validate the effectiveness of e-health interventions for CINV.

Effectiveness of a guided digital self-help intervention to improve sleep and the biological clock in university students - Study protocol for a randomized controlled trial.

Background: Sleep problems occur in many university students which affects their mental health and daily functioning. Cognitive behavioural therapy for insomnia (CBT-I) has been proven effective in adults but research in university students, who struggle to maintain a 24-hour rhythm, is still limited. We hypothesize that a guided digital CBT-I intervention, enriched with components on the biological clock ('i-Sleep & BioClock') will be effective in reducing insomnia severity and improving mental health outcomes for students with sleep problems. Objectives: We aim to evaluate the effectiveness of a guided online sleep and biological clock self-help intervention in improving sleep, depression symptoms, anxiety symptoms, functioning, academic performance, and quality of life in university students at 6 weeks and 18 weeks. Methods: This is a two-arm parallel-group superiority randomized controlled trial, comparing a 5-week guided online 'i-Sleep & BioClock' intervention to online psychoeducation (PE). We aim to include 192 university students (Bachelor, Master, and PhD) with at least subthreshold insomnia (Insomnia Severity Index ≥10), aged ≥16, who can speak Dutch or English. We are excluding students with current risk for suicide or night shifts. The primary outcome is insomnia severity. Secondary outcomes include sleep estimates (sleep and light exposure diary), depression, anxiety, functioning, quality of life, and academic performance. The effectiveness of the intervention compared to online PE will be evaluated using linear mixed models. Discussion: The current study tests the effectiveness of an online self-help intervention for university students who suffer from sleep problems. This trial builds upon an open feasibility study and will provide evidence of an online guided self-help program for students. The findings of this study will determine the potential wider dissemination of the intervention to address the high need for available and accessible help for students experiencing insomnia. Trial registration: ClinicalTrials.Gov (NCT06023693), registered on August 3rd, 2023.

Challenges and opportunities in the Polish healthcare sector from the implementation of telemedicine solutions in the field of gerontology and geriatric medicine: own experience.

OBJECTIVE: Aim: To analyze and summarize the implementation of telemedical solutions in geriatrics and gerontology within the Polish healthcare sector, aiming to develop innovative strategies for improving elderly care through telemedical technologies. PATIENTS AND METHODS: Materials and Methods: An interdisciplinary pilot project in geriatrics was implemented, focusing on health, organizational, and technological areas. The project involved continuous monitoring of health parameters, remote consultations, and the use of telemedical devices and platforms. Key data collection tools included digital clinimetric outcomes from the FRA-MNA-SARC model, with data transmitted to a telemedical platform. RESULTS: Results: The pilot project demonstrated significant positive outcomes for senior participants. Continuous monitoring of health parameters allowed for early detection and timely intervention, leading to noticeable improvements in chronic disease management. This proactive approach reduced emergency hospital visits and enhanced overall health stability. The medication adherence support system, with automated reminders, ensured patients took their medications as prescribed, resulting in improved compliance and health outcomes. Telemedical solutions efficiently reduced the need for frequent in-person visits, allowing healthcare providers to monitor progress and adjust therapies in real-time. The project also effectively engaged patients and caregivers, increasing confidence in health management and providing valuable support and real-time information. CONCLUSION: Conclusions: Implementing telemedical solutions in geriatrics within the Polish healthcare sector shows significant potential to improve elderly care. Telemedicine can effectively support chronic disease management, enhance seniors' quality of life through continuous health monitoring, and provide a practical framework for personalized and efficient healthcare delivery.

A Review of the Design of Multimedia Patient Educational Materials in Low Back Pain Research.

Low back pain guidelines recommend patient education as a component of management. Multimedia education materials to provide patient education are increasingly being used not only due to the convenience of digital services but also because this is an efficient way to deliver educational information to under-resourced or rural/remote regions without optimal healthcare services. To maximize the knowledge transfer of research findings and low back pain guidelines, scientifically backed information must evolve beyond journal prints, bland government websites, and the basic web design of budget-constrained advocacy groups. Materials must instead be engaging for the public and compete with the various sources of low back pain misinformation, which can appear attractive and eye-catching while being conveniently accessed. We discuss a data subset from a larger musculoskeletal healthcare review to highlight the educational materials used in low back pain randomized controlled trials found in the literature. While there is no standard way to appraise the effectiveness of such educational materials, potential options are discussed. Future research is needed to determine whether knowledge is being transferred and whether this is the avenue to improving patient outcomes.

Virtual Reality Combined With Psychoeducation to Improve Emotional Well-Being in Informal Caregivers of Alzheimer's Disease Patients: Rationale and Study Design of a Randomized Controlled Trial.

OBJECTIVES: Care for community-dwelling people with dementia is frequently delegated to relatives, who find themselves in the role of informal caregivers with no practical management knowledge. This situation exposes caregivers to increased risk for emotional wellbeing. The current study aims to test whether the integration of the efficacy of an immersive virtual reality (VR) experience into an online psychoeducational program impacts caregiver empathy and therefore emotional wellbeing. METHODS: One-hundred informal caregivers of mild-to-moderate Alzheimer's disease (AD) patients will be enrolled and randomly assigned to (i) an online psychoeducational program (control arm); or (ii) an online psychoeducational program integrated with VR (experimental arm). VR will consist of 360-degree videos involving the caregivers to an immersive experience of dementia symptoms from the patient's perspective. Before, after the intervention and after 2 months, all participants will complete validated clinical scales for caregiver burden and anxiety (primary outcomes) and sense of competence and dispositional empathy (secondary outcomes). A subsample of 50 participants will also undergo MRI exam, including structural and functional (resting-state and task-functional MRI [fMRI]) sequences. The fMRI task paradigm will use emotional stimuli to evaluate the neural correlate of empathy, by stressing its cognitive and affective components. The main outcome will be the change in the clinical assessment; the secondary outcome will be the change in brain connectivity of networks subserving the empathic and emotional functioning. RESULTS: We expect that the psychoeducational program will decrease anxiety and stress, enabling caregivers to perceive themselves capable of managing AD patients at home, educating them on symptom handling and boosting their cognitive empathy. In the experimental intervention, the VR-based experience will act as an add-on to psychoeducation, leading to greater improvement in the assessed clinical dimensions. VR should, in fact, enable a deeper understanding of disease symptoms and improve caregivers' cognitive empathy. We expect that the experimental intervention will result in deeper comprehension of disease symptoms and further strengthen caregivers' cognitive empathy. At the neural level, we expect to observe increased activation in circuits subserving cognitive empathy and decreased activation in circuits underlying affective empathy. CONCLUSIONS: To the best of our knowledge, this will be the first randomized controlled trial assessing the effect of combining psychoeducational interventions with VR-based experience in caregivers, and assessing both clinical and imaging outcomes. TRIAL REGISTRATION: Registered in ClinicalTrials.gov (NCT05780476).

e-Health and environmental sustainability in vascular surgery.

e-Health technology holds great promise for improving the management of patients with vascular diseases and offers a unique opportunity to mitigate the environmental impact of vascular care, which remains an under-investigated field. The innovative potential of e-Health operates in a complex environment with finite resources. As the expansion of digital health will increase demand for devices, contributing to the environmental burden of electronics and energy use, the sustainability of e-Health technology is of crucial importance, especially in the context of increasing prevalence of cardiovascular diseases. This review discusses the environmental impact of care related to vascular surgery and e-Health innovation, the potential of e-Health technology to mitigate greenhouse gas emissions generated by the health care sector, and to provide leads to research promoting e-Heath technology sustainability. A multifaceted approach, including ethical design, validated eco-audits methodology and reporting standards, technological refinement, electronic and medical devices reuse and recycling, and effective policies is required to provide a sustainable and optimal level of care to vascular patients.

e-Health education for patients and health professionals in the field of vascular disease.

e-Health, defined as "the use of new information and communication technologies (ICT) to improve or support health and health care," has grown in popularity over recent years as a cost-efficient, rapidly adaptable tool to deliver health care education to a wide audience. In the field of vascular disease, for which early detection and risk factor management may greatly influence patient outcomes, application of e-Health educational resources may provide innovative solutions to facilitate evidence-based and patient-centered care provision of care; to enable patients to take a more active role in the management of their long-term vascular health conditions; and to augment their preparation for, and recovery from, surgical procedures.

System interoperability and data linkage in the era of health information management: A bibliometric analysis.

Background: Across the world, health data generation is growing exponentially. The continuous rise of new and diversified technology to obtain and handle health data places health information management and governance under pressure. Lack of data linkage and interoperability between systems undermines best efforts to optimise integrated health information technology solutions. Objective: This research aimed to provide a bibliometric overview of the role of interoperability and linkage in health data management and governance. Method: Data were acquired by entering selected search queries into Google Scholar, PubMed, and Web of Science databases and bibliometric data obtained were then imported to Endnote and checked for duplicates. The refined data were exported to Excel, where several levels of filtration were applied to obtain the final sample. These sample data were analysed using Microsoft Excel (Microsoft Corporation, Washington, USA), WORDSTAT (Provalis Research, Montreal, Canada) and VOSviewer software (Leiden University, Leiden, Netherlands). Results: The literature sample was retrieved from 3799 unique results and consisted of 63 articles, present in 45 different publications, both evaluated by two specific in-house global impact rankings. Through VOSviewer, three main clusters were identified: (i) e-health information stakeholder needs; (ii) e-health information quality assessment; and (iii) e-health information technological governance trends. A residual correlation between interoperability and linkage studies in the sample was also found. Conclusion: Assessing stakeholders' needs is crucial for establishing an efficient and effective health information system. Further and diversified research is needed to assess the integrated placement of interoperability and linkage in health information management and governance. Implications: This research has provided valuable managerial and theoretical contributions to optimise system interoperability and data linkage within health information research and information technology solutions.

Perceptions and Satisfaction of E-Health Applications: An Analytical Cross-Sectional Study in a Rural Health Center at Tiruvallur District, Tamil Nadu.

Introduction E-health, defined as the utilization of information and communication technologies for health services, has become integral in enhancing healthcare delivery and accessibility. This study focuses on user satisfaction and perceptions of e-health applications in rural health centers, with special focus on Tamil Nadu, India. E-health technologies have proven to be effective in addressing challenges to healthcare accessibility and improving patient outcomes, at reduced costs. Despite these benefits, there is a need to understand user experiences in rural settings to optimize the implementation of e-health solutions. Methods A cross-sectional study was conducted among 383 patients registered in a non-communicable disease (NCD) clinic and specialty clinic in the rural health center of a tertiary care hospital in Tiruvallur district. Participants were selected using a consecutive sampling method from the NCD and specialty clinic registers. A semi-structured questionnaire was used to collect data on their perception and satisfaction with e-health applications. Data was entered in (Microsoft) MS Excel (Microsoft Corporation, Redmond, Washington, United States) and analyzed using IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, New York, United States). Results The overall mean age was 49.45 ± 7 years. Among the study participants, females constituted 57.3% compared to males who constituted 42.7%. 58.3% of the participants had comorbid conditions. More than half of the study participants were educated up to the high school level. According to BG Prasad's classification, 86.9 % of the participants belonged to middle class and below. Among the study participants, more than half of them use their smartphones as devices for internet access to use e-health applications. The study participants who had no co-morbid conditions were 3.3 times the odds of having poor perception and satisfaction when compared to the other categories (OR = 3.3, CI = 2.1 - 5.1) in using e-health applications, and this difference was found to be statistically significant (p = 0.01). Conclusion This study's findings reveal that gender, socio-economic status, occupation, and the presence of comorbid illnesses play significant roles in shaping users' perceptions and satisfaction levels. This study's findings underscore the importance of tailored e-health interventions to address these barriers and enhance healthcare delivery in rural areas.

Evaluation of a Digital Previsit Tool for Identifying Stroke-Related Health Problems Before a Follow-Up Visit (Part 1): Survey Study.

BACKGROUND: Stroke may lead to various disabilities, and a structured follow-up visit is strongly recommended within a few months after an event. To facilitate this visit, the digital previsit tool "Strokehealth" was developed for patients to fill out in advance. The concept Strokehälsa (or Strokehealth) was initially developed in-house as a Windows application, later incorporated in 1177.se. OBJECTIVE: The study's primary objective was to use a patient satisfaction survey to evaluate the digital previsit tool Strokehealth when used before a follow-up visit, with a focus on feasibility and relevance from the perspective of people with stroke. Our secondary objective was to explore the extent to which the previsit tool identified stroke-related health problems. METHODS: Between November 2020 and June 2021, a web-based survey was sent to patients who were scheduled for a follow-up visit after discharge from a stroke unit and had recently filled in the previsit tool. The survey covered demographic characteristics, internet habits, and satisfaction rated using 5 response options. Descriptive statistics were used to present data from both the previsit tool and the survey. We also compared the characteristics of those who completed the previsit tool and those who did not, using nonparametric statistics. Free-text responses were thematically analyzed. RESULTS: All patients filling out the previsit tool (80/171; age: median 67, range 32-91 years) were community-dwelling. Most had experienced a mild stroke and reported a median of 2 stroke-related health problems (range 0-8), and they were significantly younger than nonresponders (P<.001). The survey evaluating the previsit tool was completed by 73% (58/80; 39 men). The majority (48/58, 83%) reported using the internet daily. Most respondents (56/58, 97%) were either satisfied (n=15) or very satisfied (n=41) with how well the previsit tool captured their health problems. The highest level of dissatisfaction was related to the response options in Strokehealth (n=5). Based on the free-text answers to the survey, we developed 4 themes. First, Strokehealth was perceived to provide a structure that ensured that issues would be emphasized and considered. Second, user-friendliness and accessibility were viewed as acceptable, although respondents suggested improvements. Third, participants raised awareness about being approached digitally for communication and highlighted the importance of how to be approached. Fourth, their experiences with Strokehealth were influenced by their perceptions of the explanatory texts, the response options, and the possibility of elaborating on their answers in free text. CONCLUSIONS: People with stroke considered the freely available previsit tool Strokehealth feasible for preparing in advance for a follow-up visit. Despite high satisfaction with how well the tool captured their health problems, participants indicated that additional free-text responses and revised information could enhance usability. Improvements need to be considered in parallel with qualitative data to ensure that the tool meets patient needs. TRIAL REGISTRATION: Researchweb 275135; https://www.researchweb.org/is/vgr/project/275135.

Modulation effects of imagery acupuncture and no-touch double-blinded placebo acupuncture, a cross-over pilot study.

Both imagery and acupuncture are the oldest medical practices. Recently, we have developed a new treatment modality, video-guided acupuncture imagery treatment (VGAIT), which combines acupuncture and imagery. In this crossover study, we investigated the modulation effects of video-guided acupuncture imagery treatment compared with placebo acupuncture using no-touch double-blind placebo acupuncture needles and a no-treatment resting control. Pressure pain threshold and electroencephalogram (EEG) data were collected before and after each intervention. 12 healthy participants completed the study. Results showed that pressure pain thresholds were significantly increased after VGAIT compared to the resting control condition. In addition, we found that VGAIT, but not the no-touch placebo acupuncture or the resting control, significantly increased alpha and beta band power. Our findings demonstrate the potential of VGAIT as a remote therapeutic method (e-health treatment option) for pain and the value of no-touch double-blind placebo acupuncture in acupuncture research.

Analyzing health service employees' intention to use e-health systems in southwest Ethiopia: using UTAUT-2 model.

BACKGROUND: E-health systems have the potential to improve healthcare delivery and access to medical services in resource-constrained settings. Despite its impact, the system exhibits a low level of consumer acceptance and intention to use it. This research paper aims to analyze the intention of health service employees to use e-health systems in southwest Ethiopia using the UTAUT-2 model. METHOD: Institutional-based cross-sectional studies were conducted at four referral hospitals (two private and two public) to examine the acceptance of e-health among consumers. Employees who had previous experience with diagnostic information systems and the health logistic information system were given structured questionnaires based on the UTAUT-2 model. The data were analyzed using the PLS-SEM method to identify the key factors that influence the intention to use e-health systems. The data were analyzed using SPSS version 20 and SmartPLS 3 software. RESULT: Out of the 400 surveyed employees, 225 (56.25%) valid questionnaires were collected. The findings indicate that three factors-effort expectancy (ß = 0.276, t = 3.015, p = 0.001), habit (ß = 0.309, t = 3.754, p = 0), and performance expectancy (ß = 0.179, t = 1.905, p = 0.028)-had a significant positive impact on employees' intention to use e-health systems. On the other hand, factors such as social influence, facilitating conditions, hedonic motivation, and price values did not appear as significant predictors of intention to use e-health. The study model was able to predict 63% of employees' intentions to use e-health systems. CONCLUSION: Effort expectancy, habit, and performance expectancy were significant predictors of employees' intention to use e-health systems among health service employees in southwest Ethiopia. The study supports the ideas that ease of use, experience with information systems, and the role of the systems in improving job performance contribute to employees' intention to use e-health. Policymakers and healthcare organizations in the region can use these findings to develop strategies for successful implementation and adoption of e-health systems, ultimately improving healthcare services and outcomes for the population.

Audiophonologopedic Telerehabilitation: Advantages and Disadvantages from User Perspectives.

INTRODUCTION: Technological advancements and the COVID-19 pandemic have highlighted the importance of digital tools for patient care and rehabilitation. This study explores user perspectives on telerehabilitation, comparing it to traditional methods and identifying criteria for determining its suitability for different patients and clinical conditions. METHODS: This study was carried out during the period of May-September 2021. Questionnaires were administered to 48 users in rehabilitation for audiophonologopedic and neurodevelopmental disorders in three rehabilitation centres in central Italy. RESULTS: The user responses predominantly emphasize the benefits of time saving (68.75%) and cost-efficiency (37.5%), specifically regarding time saving due to travel and expenses incurred to go to where the therapy is carried out. The disadvantages include increased distraction (60.42%) in following the instructions remotely and logistic problems (39.58%). Patients with hearing loss were subjected to a larger number of telerehabilitation sessions, positively rating this alternative method. Patients with speech and language delay and autism spectrum disorder (ASD) prefer traditional treatment. DISCUSSION: This study reveals a favourable perception of telerehabilitation as a therapy approach to be regarded as a supplement or temporary option to the irreplaceable face-to-face one. More research, as well as a larger sample sizes, will be useful to increase the significance of the correlations reported in this study.

What do patients want from a digital device that supports heart failure self-management?

OBJECTIVE: To assess patients' needs and the factors determining their acceptance of an e-Health intervention. METHODS: Purposive sample of patients with heart failure, attending an outpatient consultation were invited to complete a questionnaire designed to assess their needs and acceptance of an e-Health intervention. Data analysis was performed using Chi-square tests with post-hoc corrections. RESULTS: Response rate was 61 % (n = 101), with most patients (>70 %) indicating they could see themselves using an e-Health intervention to manage their heart failure. Participants with a healthy lifestyle (i.e., non-smoker and consumed alcohol < once/week) were more likely to have a positive attitude towards technology (p adj.=0.013). Those willing to use an e-Health intervention were convinced of its advantages by other patients with heart failure (p adj.=0.013). Advanced age, education level, employment or marital status did not influence patient attitudes toward health technology. CONCLUSIONS & PRACTICE IMPLICATIONS: Results indicate patients have a positive attitude towards the use of e-Health interventions to enable their self-management of heart failure. These findings will inform further development and delivery strategies of e-Health interventions.

Online Disease Management Training for Older Adults With Osteoarthritis: A Randomized Controlled Trial.

INTRODUCTION: Using online methods in health education is an effective method that provides individual services to older adults with limited access to health services and allows for low-cost and continuous communication. METHODS: The study was completed with 52 older adults diagnosed with osteoarthritis, including 26 intervention and 26 control participants. For data collection, a Patient Information Form, Visual Analogue Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, Self-Efficacy Scale in Arthritis, World Health Organization Quality of Life Instrument-Older Adults Module and a Telephone Counselling Follow-up Form were used. Individuals in the intervention group were provided with online training for the first 4 weeks and telephone counselling for the following 4 weeks. Scales were applied to both groups. RESULTS: The scales were applied to both groups at the first, second and last measurements. It was determined that there was a significant difference between the total pain and functional status scores of the individuals in the intervention and control groups at the second and last measurement (p < 0.05), while the average scores of the intervention group were lower control group. The total self-efficacy score and quality of life total score of the intervention group were statistically significantly higher than the total score of the control group (p < 0.05). CONCLUSIONS: As a result of the research, it was found that online education and telephone counselling given to elderly individuals with osteoarthritis were effective in reducing pain severity and improving functional status, self-efficacy and quality of life. TRIAL REGISTRATION: The trial was registered at ClinicalTrial.gov (NCT04816474/2021-08-10/https://register. CLINICALTRIALS: gov/).

Chronic health conditions and disability are prevalent among community users of a digital mental health service: a scoping survey.

Objectives: Digital interventions can offer accessible and scalable treatment for chronic conditions, though often focus separately on physical or mental health. People accessing digital health services may live with multiple conditions or experience overlapping symptoms. This study aimed to describe the breadth and characteristics of chronic health conditions and self-reported disability among routine users of a digital mental health service, and to examine related motivations to engage with digital mental health interventions.Methods: A cross-sectional survey of adults registered with a digital mental health service in the Australian community (THIS WAY UP) was conducted. Participant demography, chronic health conditions, self-reported disability and motivations for accessing digital treatment were collected and analyzed descriptively.Results: 366 participants responded (77% female, mean age 50 ± 15 years). 71.6% of participants (242/338) reported ≥1 chronic health condition and one-third reported multimorbidity (112/338, 33.1%). Chronic pain, musculoskeletal and connective tissue disorders were most common. 26.9% of respondents (90/334) reported a disability, most commonly physical disabilities. 95% of those with chronic conditions reported negative mental health effects and 46% reported heightened interest in digital mental health treatments because of their condition. Primary motivations for digital service use were receiving a recommendation from a health professional and service accessibility.Discussion: People who access digital mental health services in routine care report high rates of heterogenous chronic illness and related disability. There is interest in accessible digital treatments to support mental health at scale among people who live with varied chronic conditions and disabilities.

Heterogenous chronic health conditions and disability are prevalent among people who engage with digital mental health interventions in the community.Approximately three-quarters of people (72%) who access digital mental health interventions have at least one chronic condition, and approx. one quarter (27%) have a disability.The accessibility of digital mental health treatments appealed to people with chronic conditions and/or disabilities.Digital mental health services may have a role to play in supporting mental health and wellbeing at scale among people with varied, disabling chronic conditions.