Determinants of Telemedicine Service Use Among Middle-Aged and Older Adults in Germany During the COVID-19 Pandemic: Cross-Sectional Survey Study.

Background: The occurrence of the COVID-19 pandemic demanded fast changes in the delivery of health care. As a result, significant growth in the use of telemedicine services occurred. Research, especially from nationally representative German samples, is needed to better understand determinants of telemedicine use. Objective: The purpose of this study was to identify determinants of telemedicine service use among middle-aged and older adults during the COVID-19 pandemic in Germany. Methods: Cross-sectional, nationally representative data were taken from the German sample of the Survey of Health, Ageing and Retirement in Europe (SHARE). The German Corona Survey 2 (n=2039), which was conducted between June and August 2021, was used for this study. Reporting experience with remote medical consultations during the COVID-19 pandemic served as the outcome measure. Associations with socioeconomic, psychological, social, health-related, and COVID-19-related determinants were examined using multiple Firth logistic regressions. Results: Psychological factors including feeling nervous, anxious, or on edge (odds ratio [OR] 1.61, 95% CI 1.04-2.50; P=.03), feeling sad or depressed (OR 1.62, 95% CI 1.05-2.51; P=.03) and feelings of loneliness (OR 1.66, 95% CI 1.07-2.58; P=.02) were positively associated with telemedicine use. Moreover, forgoing medical treatment because of being afraid of being infected by SARS-CoV-2 (OR 1.81, 95% CI 1.10-2.97; P=.02) and describing limitations because of a health problem as severe were positively associated with the outcome (OR 2.11, 95% CI 1.12-4.00; P=.02). Socioeconomic and social factors were not significantly associated with telemedicine use in our sample. Conclusions: Middle-aged and older individuals in Germany seem to use telemedicine services according to psychological needs and health limitations. Especially when psychological symptoms are experienced, telemedicine seems to be a promising service option in this age group. Future research is needed to confirm these initial findings in postpandemic circumstances.

Telemedicine and In-Person Visit Modality Mix and Electronic Health Record Use in Primary Care.

This cross-sectional study investigates the association between day-to-day changes in telemedicine share and clinician time spent on electronic health record (EHR) use.

Adoption and Use of Telemedicine and Digital Health Services Among Older Adults in Light of the COVID-19 Pandemic: Repeated Cross-Sectional Analysis.

BACKGROUND: As the population ages and the prevalence of long-term diseases rises, the use of telecare is becoming increasingly frequent to aid older people. OBJECTIVE: This study aims to explore the use and adoption of 3 types of telehealth services among the older population in Israel before, during, and after the COVID-19 pandemic. METHODS: We explored the use characteristics of older adults (aged ≥65 years) belonging to Clalit Health Services in several aspects in the use of 3 types of telehealth services: the use of digital services for administrative tasks; the use of synchronous working-hours telehealth visits with the patient's personal physician during clinic business hours; and the use of after-hours consultations during evenings, nights, and weekends when the clinics are closed. The data were collected and analyzed throughout 3 distinct periods in Israel: before the COVID-19 pandemic, during the onset of the COVID-19 pandemic, and following the COVID-19 peak. RESULTS: Data of 618,850 patients who met the inclusion criteria were extracted. Telehealth services used for administrative purposes were the most popular. The most intriguing finding was that the older population significantly increased their use of all types of telehealth services during the COVID-19 pandemic, and in most types, this use decreased after the COVID-19 peak, but to a level that was higher than the baseline level before the COVID-19 pandemic. Before the COVID-19 pandemic, 23.1% (142,936/618,850) of the study population used working-hours telehealth visits, and 2.2% (13,837/618,850) used after-hours consultations at least once. The percentage of use for these services increased during the COVID-19 pandemic to 59.2% (366,566/618,850) and 5% (30,777/618,850) and then decreased during the third period to 39.5% (244,572/618,850) and 2.4% (14,584/618,850), respectively (P<.001). Multiple patient variables have been found to be associated with the use of the different telehealth services in each period. CONCLUSIONS: Despite the limitations and obstacles, the older population uses telehealth services and can increase their use when they are needed. These people can learn how to use digital health services effectively, and they should be given the opportunity to do so by creating suitable and straightforward telehealth solutions tailored to this population and enhancing their usability.

COVID-19 patient satisfaction and associated factors in telemedicine and hybrid system.

Background: The quality assessment of the home-based isolation and care program (HBIC) relies heavily on patient satisfaction and length of stay. COVID-19 patients who were isolated and received HBIC were monitored through telephone consultations (TC), in-person TC visits, and a self-reporting application. By evaluating patient satisfaction and length of stay in HBIC, healthcare providers could gauge the effectiveness and efficiency of the HBIC program. Methods: A cross-sectional study design enrolled 444 HBIC patients who answered a structured questionnaire. A binary logistic regression model assessed the association between independent variables and patient satisfaction. The length of stay in HBIC was analyzed using Cox regression analysis. The data collection started on April (1-30), 2022, in Addis Ababa, Ethiopia. Results: The median age was 34, and 247 (55.6%) were females. A greater proportion (313, 70.5%) of the participants had high satisfaction. Higher frequency of calls (>3 calls) (AOR = 2.827, 95% CI = 1.798, 4.443, p = 0.000) and those who were symptomatic (AOR = 2.001, 95% CI = 1.289, 3.106, p = 0.002) were found to be significant factors for high user satisfaction. Higher frequency of calls (>3 calls) (AHR = 0.537, 95% CI = 0.415, 0.696, p = 0.000) and more in-person visits (>1 visit) (AHR = 0.495, 95% CI = 0.322, 0.762, p = 0.001) had greater chances to reduce the length of stay in the COVID-19 HBIC. Conclusion: 70.5% of the participants had high satisfaction with the system, and frequent phone call follow-ups on patients' clinical status can significantly improve their satisfaction and length of recovery. An in-person visit is also an invaluable factor in a patient's recovery.

Factors associated with the use of digital health among healthcare workers in the Buea and Tiko health districts of Cameroon: a cross-sectional study.

Introduction: digital health has been demonstrated to improve the efficiency and scale of health service delivery in resource-limited settings. Understanding factors influencing its use could accelerate the process of its implementation in routine practice. Methods: we conducted a cross-sectional analytic study in Buea and Tiko health districts from January to May 2021. We included healthcare workers selected using multistage stratified sampling. Use of digital health was defined as using at least two digital tools and one digital health intervention (DHI) or at least two DHIs by a healthcare worker. Epi Info was used for statistical analysis. Binary logistic regression was used to evaluate factors associated with the use of digital health. Results: in total, 221 participants were included in the study. The mean age was 33±9.1 years and 76.5% were female. Only 39.4% (n=87) of participants used digital health. The most frequently used digital tools for health-related purposes included: Microsoft (MS) Excel (29.9%), MS PowerPoint (26.8%) and MS Word (39.1%). The main DHIs used were research (30.2%) and diagnosing (24.1%) software. The main use of digital health was for research (75.6%). Owning a laptop (adjusted odds ratio (aOR)=1.98, 95% CI, 1.01 - 3.86), availability of internet connection in the health facility (1.99, 1.05 - 3.7) and receiving professional training in ICT/Computer Sciences (2.04, 1.06 - 3.93), were associated with higher odds of using digital health. Conclusion: this study shows a low level of use of digital health by healthcare workers. Providing newer devices, internet connection in health facilities and training in ICT for healthcare workers could improve its uptake.

Moderating Effect of eHealth Literacy on the Associations of Coronaphobia With Loneliness, Irritability, Depression, and Stigma in Chinese Young Adults: Bayesian Structural Equation Model Study.

BACKGROUND: The COVID-19 pandemic has led to an increase in known risk factors for mental health problems. Although medical information available through the internet and smartphones has greatly expanded, people's ability to seek, eschew, and use reliable web-based medical information and services to promote their mental health remains unknown. OBJECTIVE: This study aims to explore the associations between coronaphobia and 4 frequently reported mental health problems, loneliness, irritability, depression, and stigma, during the COVID-19 pandemic and to assess the moderating effects of eHealth literacy (eHL) on the adjustment of these relationships in Chinese young adults. METHODS: The data used in this study were collected from a web-based survey of the general Chinese population, aged between 18 and 30 years, conducted in China between December 2022 and January 2023. A nonprobability snowball sampling method was used for data collection. A Bayesian structural equation model (BSEM) using parameter expansion was used to estimate the moderating effect of eHL on the relationship between coronaphobia and psychological problems. The posterior mean and 95% highest density intervals (HDIs) were estimated. RESULTS: A total of 4119 participants completed the questionnaire and provided valid responses. Among them, 64.4% (n=2653) were female and 58.7% (n=2417) were rural residents. All measures showed statistically significant but minor-to-moderate associations (correlation coefficients ranged from -0.04 to 0.65). Significant heterogeneity was observed between rural and urban residents at the eHL level, and coronaphobia was observed. The BSEM results demonstrated that eHL was a significant moderator in reducing the negative effects of coronaphobia on loneliness (posterior mean -0.0016, 95% HDI -0.0022 to -0.0011), depression (posterior mean -0.006, 95% HDI -0.0079 to -0.004), stigma (posterior mean -0.0052, 95% HDI -0.0068 to -0.0036), and irritability (posterior mean -0.0037, 95% HDI -0.0052 to -0.0022). The moderating effects of eHL varied across the rural and urban subsamples. CONCLUSIONS: Using BSEM, this study demonstrated that improving eHL can significantly mitigate the negative effects of coronaphobia on 4 COVID-19-related mental health problems in Chinese young adults. Future eHL initiatives should target rural communities to ensure equal access to information and resources that can help protect their mental health during the pandemic.

Online Physician-Patient Interaction and Patient Satisfaction: Empirical Study of the Internet Hospital Service.

BACKGROUND: In China, a form of online health service called the internet hospital became a prominent means of patient care when face-to-face visits were not possible during the COVID-19 pandemic to minimize transmission of the SARS-CoV-2 virus. Patients' internet hospital experiences largely depend on online physician-patient interaction. Yet, little is known about how physicians can improve patient satisfaction by using specific communication strategies online. OBJECTIVE: This study aimed to identify specific communication strategies to help physicians deliver better quality internet hospital services. We also outline recommendations for hospitals to operate internet hospital platforms more effectively. METHODS: A longitudinal data set was collected from an internet hospital platform operated by a top hospital in China. By extracting communication patterns from approximately 20,000 records of online health care services and by controlling the features of service requests, we tested the impacts of response load, more detailed style, and emotional comfort on patient satisfaction. We further explored the effects of these communication patterns in different service contexts. RESULTS: Physicians with a low response load, a more detailed style, and expressions of emotional comfort received more positive patient feedback. Response load did not affect patient satisfaction with free online health service, whereas a more detailed style and emotional comfort enhanced satisfaction with free service. Response load significantly reduced patient satisfaction with paid online health service, while a more detailed style had no effect. Compared with free service, emotional comfort more strongly promoted patient satisfaction with paid service. CONCLUSIONS: The communication strategies identified can help physicians provide patients with a better internet hospital experience. These strategies require hospitals to schedule each physician's online service period more appropriately. In addition, tailoring the strategies to service situations can facilitate more targeted and effective internet hospital service for patients.

Intimate Partner Violence and Telemedicine Usage and Satisfaction Early in the COVID-19 Pandemic.

BACKGROUND: COVID-19 has transformed the landscape of telemedicine utilization, shifting from predominantly in-person services to increased virtual encounters. Although telemedicine offers increased accessibility for medical care, many advocates voice concern about utilization and satisfaction with these services among individuals who experience intimate partner violence (IPV) given the unique practical, mental, and physical health challenges many face. OBJECTIVE: The purpose of the present study was to evaluate differences in telemedicine utilization and satisfaction, as well as global health and perceived loneliness, among data-driven patterns of IPV during the early phases of the pandemic. METHODS: In this longitudinal survey study, participants first completed an online survey between May 2019 and February 2020 that assessed social, psychological, and physical functioning, as well as emotional and physical IPV. A follow-up survey sent in May 2020 assessed recent telemedicine use and satisfaction, as well as response to the COVID-19 pandemic. RESULTS: Latent class analysis favored 4 classes of IPV that differed based on severity and features of IPV experienced. Although all 4 classes reported high satisfaction with telemedicine, individuals reporting low IPV had the highest satisfaction with telemedicine and the lowest rates of telemedicine utilization. Individuals who experienced IPV, particularly multiple forms of emotional and physical IPV, reported high physical and social concerns and perceived stress. CONCLUSIONS: Clinicians using telemedicine should be aware of the multiple challenges faced by individuals experiencing IPV and take additional steps to ensure their needs are met in a safe way. These results have potentially important clinical and policy implications.

Equitable psychiatry, telehealth, and the COVID-19 pandemic: Analysis of national data.

Background: At the beginning of the COVID-19 pandemic, it was foreseen that the number of face-to-face psychiatry consultations would suffer a reduction. In order to compensate, the Australian Government introduced new Medicare-subsidized telephone and video-linked consultations. This study investigates how these developments affected the pre-existing inequity of psychiatry service delivery in Australia. Methods: The study analyses five and a half years of national Medicare data listing all subsidized psychiatry consultation consumption aggregated to areas defined as Statistical Area level 3 (SA3s; which have population sizes of 30 k-300 k). Face-to-face, video-linked and telephone consultations are considered separately. The analysis consists of presenting rates of consumption, concentration graphs, and concentration indices to quantify inequity, using Socio Economic Indexes for Areas (SEIFA) scores to rank the SA3 areas according to socio-economic disadvantage. Results: There is a 22% drop in the rate of face-to-face psychiatry consultation consumption across Australia in the final study period compared with the last study period predating the COVID-19 pandemic. However, the loss is made up by the introduction of the new subsidized telephone and video-linked consultations. Referring to the same time periods, there is a reduction in the inequity of the distribution of face-to-face consultations, where the concentration index reduces from 0.166 to 0.129. The new subsidized video-linked consultations are distributed with severe inequity in the great majority of subpopulations studied. Australia-wide, video-linked consultations are also distributed with gross inequity, with a concentration index of 0.356 in the final study period. The effect of this upon overall inequity was to cancel out the reduction of inequity resulting from the reduction of face-to face appointments. Conclusion: Australian subsidized video-linked psychiatry consultations have been distributed with gross inequity and have been a significant exacerbator of the overall inequity of psychiatric service provision. Future policy decisions wishing to reduce this inequity should take care to reduce the risk posed by expanding telepsychiatry.

Reasons for Not Pursuing Virtual Prenatal Care in 2020 Through 2021 and Policy Implications.

Aim: To investigate patterns of virtual prenatal visits and examine reasons for not pursuing virtual visits for prenatal care. Methods: A pooled cross-sectional study used Pregnancy Risk Assessment Monitoring System from October 2020 through June 2021, a nationally representative surveillance system targeted at women who recently gave live birth. Individuals (n = 11,829) who reported their prenatal care experiences were included. A modified poison regression estimated prevalence ratios for virtual prenatal visits and reasons for not using virtual services. Results: One-third of participants used virtual prenatal care. Hispanics were more likely to use virtual prenatal care than whites. Compared with college graduates, those with high school graduation (Prevalence Ratios [PR] 0.87, 95% confidence interval [CI] 0.76-0.99; p = 0.033) or some college education (PR 0.86, 95% CI 0.77-0.96; p = 0.009) were less likely to use virtual visits. A preference for in-person was the most common reason for not pursuing virtual visits (77.1%), followed by no available virtual appointments (29.5%), technology barriers (6.1%), and no private space (1.7%). Individuals with less than or with high school graduation had 4.16 times (95% CI 2.32-7.46; p ≤ 0.001) and 2.72 times (95% CI 1.67-4.43; p ≤ 0.001) greater technology barriers, and 10.03 times (95% CI 3.42-29.46; p ≤ 0.001) and 4.29 times (95% CI 1.56-11.80; p = 0.005) greater likelihood of lacking private space, respectively, while they had a lesser in-person preference. Conclusions: In a disrupted health care landscape, barriers to accessing virtual prenatal care may have further exacerbated access to care and effective management of pregnancy among those underserved. The findings provide practical implications for safe and effective prenatal care.

Association Between Billing Patient Portal Messages as e-Visits and Patient Messaging Volume.

This study evaluates the adoption of clinician billing for patient portal messages as e-visits, prompted by significant increases in patient messaging after the onset of the COVID-19 pandemic.

Application of the multi-theory model to explain veterinarians' intentions to use telehealth/telemedicine.

BACKGROUND: Telehealth adoption is being fueled by both technological breakthroughs and societal demands; however, veterinarians have yet to fully embrace the concept of telemedicine, limiting its use and potential benefits. The goal of this study was to evaluate how effective the multi-theory model (MTM) of health behaviour change explains the initiation and sustenance of telehealth use among veterinarians. METHODS: For this cross-sectional study, a research company was contracted to disseminate the MTM-based online survey to veterinarians currently engaged in clinical practice within the United States. RESULTS: A total of 243 veterinarians participated in this study. The most frequently reported age group among participants was 31-40 years (33.7%, n = 82). It was also noted that the majority of participants were female (70.0%, n = 170) and white (76.5%, n = 186). Hierarchical multiple regression showed that participatory dialogue (p = 0.037), species (p = 0.013) and previous monthly telehealth use (p = 0.040) were significant explanatory variables of initiation of telehealth use. Moreover, emotional transformation (p < 0.001) and previous monthly telehealth use (p = 0.035) were significant explanatory variables of sustenance of telehealth use. LIMITATIONS: The data were collected in July 2020, during a global pandemic, in which telehealth use surged across a variety of professions. As a result, the findings of the study may not be relevant in periods when there is no pandemic. CONCLUSIONS: Based on the findings of this study, researchers, educators and veterinary professionals should consider using MTM as theoretical framework to develop interventions to enhance telehealth use.

Dermatology Access and Needs of American Indian and Alaska Native People.

OBJECTIVES: To describe skin disease prevalence, access to dermatologic care, and teledermatology interest among American Indians and Alaska Natives. METHODS: Data were collected via self-report surveys administered in person at two community powwows in Denver, Colorado in 2021 and 2022. RESULTS: Most American Indian and/or Alaska Native respondents (94.5%, n=225) reported at least one skin disease. The top three active skin diseases among adolescents were acne, scarring, and eczema. The top three among adults were dry skin, hair loss, and acne. Only 20.9% (n=47) of respondents with skin disease had seen a dermatologist. Approximately one-third of respondents (34.0%, n=81) were open to engaging with teledermatology in their home; 43.3% (n=103) were open to engaging with teledermatology in their local clinic; 42.0% (n=100) were not interested in engaging teledermatology from their home or in their local clinic. CONCLUSIONS: Skin disease is prevalent and access to dermatologic care is poor among American Indian and Alaska Native people.

Requests for Self-managed Medication Abortion Provided Using Online Telemedicine in 30 US States Before and After the Dobbs v Jackson Women's Health Organization Decision.

This study assesses changes in online telemedicine requests to self-manage abortions with medications before vs after the Dobbs v Jackson Women's Health Organization Supreme Court decision overturning Roe v Wade.

Utilization and Effectiveness of eHealth Technology in the Follow-up of Celiac Disease: A Systematic Review.

OBJECTIVES: To systematically review the literature on the utilization and effectiveness of electronic-health technologies (eHealth), such as smartphone applications, in managing patients with celiac disease (CD). METHODS: PubMed, Scopus, and the Cochrane Library were all searched (until February 2021). Inclusion criteria were full-text English articles reporting original data on the use of eHealth technologies in the follow-up of CD patients, with no age restriction. Exclusion criteria were studies only using non-interactive websites and phone consultation as the primary eHealth method. The results were summarized narratively. RESULTS: Using identified keywords, 926 unique studies were identified. After title and abstract screening by two independent reviewers, 26 studies were reviewed in full text. Finally, eight studies were included in this systematic review, and their quality appraised using standardized forms. Of the eight studies, six were randomized-controlled trials, one mixed-methods study, and one cross-sectional, observational study. Studies were assessed to be of "low" to "moderate" methodological quality. Studied eHealth technologies included web-based interventions, smartphone applications, text messaging, and online consultations. The most consistently reported effects related to improved quality of life (number of studies = 4), knowledge on CD (n = 3), and dietary adherence (n = 2); notably, only one study reported reduced costs of eHealth vs. standard (in-office) care. CONCLUSIONS: Although eHealth has the potential to improve the management of CD, so far, the research in the field is scarce and generally of low-moderate methodological quality. Hence, the effectiveness of eHealth in CD management remains uncertain, and more high-quality evidence is required before its utility is known.

Association of Remote Technology Use and Other Decentralization Tools With Patient Likelihood to Enroll in Cancer Clinical Trials.

Importance: Logistical challenges such as travel time and distance to a clinical trial site can be a barrier to patient participation. The association of remote technology use and other decentralization tools that can reduce these barriers with likelihood to enroll in cancer trials is not well understood. Objective: To assess the association of remote technology and other decentralization tools used to reduce participation-related time and travel with the likelihood to enroll in cancer clinical trials. Design, Setting, and Participants: Between July 6 and September 8, 2021, a 41-question, cross-sectional, internet-based survey was administered to patients with cancer and survivors of cancer in the US who had been diagnosed with or treated for cancer in the past 7 years. Main Outcomes and Measures: Increase in self-reported likelihood to enroll in cancer clinical trials that use remote technology and other decentralization tools to decrease the need for travel to the trial site. Results: There were 1183 survey respondents, with a mean (SD) age of 58.2 (12.5) years. Respondents self-reported their gender, race and ethnicity, cancer type, and treatment status. Of the 1183 respondents, 848 (72%) were female, 296 (25%) were male, 8 (1%) were other/nonbinary, and 31 (3%) declined to answer. With regard to race, 28 respondents (3%) were American Indian or Alaska Native, 25 (2%) were Asian, 234 (20%) were Black or African American, 20 (2%) were Native Hawaiian or Other Pacific Islander, 825 (70%) were White, and 51 (4%) declined to answer. With regard to ethnicity, 115 respondents (10%) were Hispanic, Latino/Latina, or of Spanish origin, whereas 1017 (86%) were not and 51 (4%) declined to answer. Regarding cancer type and treatment status, 483 respondents (41%) either had or had survived breast cancer and 325 (28%) were being treated for cancer during the survey period. Individuals older than 55 years were more likely to say that they would only participate in trials no farther from their home than their regular care health care practitioner compared with younger respondents (26% vs 16%, respectively; P = .02). Higher-income earners (ie, those in households earning >$125 000/y) were significantly more likely than lower-income earners (ie, those in households earning <$70 000/y) to say they would participate in trials requiring additional effort (62% vs 41%, respectively; P = .03). If given the opportunity to enroll in a cancer clinical trial that required travel farther than their regular care, a majority of respondents (range, 60%-85%) indicated that they would be more likely to participate if the trial used remote technology and other tools to decrease the need for travel to a trial site. Conclusions and Relevance: In this cross-sectional study, the survey findings suggest that cancer clinical trials leveraging remote technology and decentralization tools to reduce patient time and travel burden associated with participation may increase the patient consent rate.

Categorización y revisión de reevaluaciones en tomografía computada en una unidad de telerradiología de urgencia / Categorization and review of reevaluations in computed tomography in an emergency teleradiology unit

INTRODUCCIÓN La telerradiología se basa en el despliegue de radiólogos a distancia para evaluar estudios de dicha especialidad. Actualmente hay evidencia limitada sobre las tasas de error de evaluaciones en telerradiología. Este estudio corresponde a una revisión de las discrepancias entre los informes preliminares y finales de tomografía computada (TC) de una unidad de urgencia telerradiológica. OBJETIVO Determinar las discrepancias de las reevaluaciones (addendum) en los informes radiológicos de TC en una unidad de telerradiología de urgencia. MATERIALES Y MÉTODOS La recolección de datos se planificó a modo de tabla de cotejo, en la cual se tabularon casos de reevaluaciones de urgencia desde el mes de enero hasta mayo del año 2021, en base a la categorización Agrawal. RESULTADOS De una total de 111.599, 836 informes presentaron addendum, que corresponden al 0,74% del total informado, La categoría Agrawal 0 agrupó la mayor cantidad de casos y los exámenes de TC especialidad de cuerpo se encuentran los segmentos con mayores requerimientos de reevaluación. Discusión: Los valores obtenidos permiten establecer una baja incidencia de reevaluaciones y de la gravedad de estas, apuntando a errores asociados a canales de comunicación, redacción y elaboración de informes con especial énfasis en estudios TC Tórax y Abdomen/Pelvis. CONCLUSIÓN El porcentaje de cumplimiento de un 99,26% de exactitud en los informes permite concluir la alta confiabilidad y la calidad del servicio de telerradiología de la empresa en cuestión durante el periodo evaluado y el empleo de medidas correctivas basadas en organización, gestión e instrumentalización tecnológica

Postoperative Curative Effect of Cardiac Surgery Diagnosed by Compressed Sensing Algorithm-Based E-Health CT Image Information and Effect of Baduanjin Exercise on Cardiac Autonomic Nerve Function of Patients.

This research was aimed at exploring the effect of CT images reconstructed by optimized compressed sensing algorithm on postoperative diagnosis of patients with hypertensive heart disease and the influence of Baduanjin on cardiac autonomic nerve function. Based on the compressed sensing algorithm, the maximum likelihood expectation maximization algorithm was introduced to optimize it, and the optimization algorithm was established. The optimized algorithm and filtered back projection algorithm (FBP) were compared regarding the root mean squared error (RMSE), peak signal-to-noise ratio (PSNR), and structural similar image metric (SSIM). A total of 126 patients with hypertensive heart disease who underwent CT examination in the hospital were selected as study subjects. According to whether Baduanjin intervention was adopted, patients were divided into observation group (conventional treatment +Baduanjin) and control group (conventional treatment), with 63 patients in each group. The effect of CT examination on postoperative diagnosis was analyzed. Systolic blood pressure (SBP), diastolic blood pressure (DBP), differential pressure (DP), respiratory rate and heart rate (HR), very low-frequency (VLF) power, low-frequency (LF) power, high-frequency (HF) power, total power (TP) of HR variability, and changes in LF/HF of patients before and after treatment were compared. The RMSE of the compressed sensing optimization algorithm (3.28 ± 0.36) was significantly lower than that of the FBP algorithm (9.25 ± 1.03) (P < 0.05). The SSIM and PNSR of the compressed sensing optimization algorithm were (0.87 ± 0.10) and (21.22 ± 1.60) dB, respectively. The SSIM was significantly higher than the FBP algorithm (P < 0.01), and the PNSR was also higher than the FBP algorithm (P < 0.05). The detection rate of CT for pleural effusion was 16 cases (25.40%) higher than 5 cases (7.94%) with TTE (P < 0.01). After treatment, SBP, DBP, HR, LF, VLF, LF/HF, and DP values in the observation group were lower than those in the control group (P < 0.05), and TP and HF were higher than those in the control group (P < 0.05). It suggested that a novel algorithm was established based on compressed sensing algorithm to improve image quality. CT image had important guiding significance for postoperative diagnosis of heart. Baduanjin intervention could improve the integrated function of patient's autonomic nervous system and the regulation ability of the vagus nerve.

Improving usability benchmarking for the eHealth domain: The development of the eHealth UsaBility Benchmarking instrument (HUBBI).

BACKGROUND: Currently, most usability benchmarking tools used within the eHealth domain are based on re-classifications of old usability frameworks or generic usability surveys. This makes them outdated and not well suited for the eHealth domain. Recently, a new ontology of usability factors was developed for the eHealth domain. It consists of eight categories: Basic System Performance (BSP), Task-Technology Fit (TTF), Accessibility (ACC), Interface Design (ID), Navigation & Structure (NS), Information & Terminology (IT), Guidance & Support (GS) and Satisfaction (SAT). OBJECTIVE: The goal of this study is to develop a new usability benchmarking tool for eHealth, the eHealth UsaBility Benchmarking Instrument (HUBBI), that is based on a new ontology of usability factors for eHealth. METHODS: First, a large item pool was generated containing 66 items. Then, an online usability test was conducted, using the case study of a Dutch website for general health advice. Participants had to perform three tasks on the website, after which they completed the HUBBI. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), we identified the items that assess each factor best and that, together, make up the HUBBI. RESULTS: A total of 148 persons participated. Our selection of items resulted in a shortened version of the HUBBI, containing 18 items. The category Accessibility is not included in the final version, due to the wide range of eHealth services and their heterogeneous populations. This creates a constantly different role of Accessibility, which is a problem for a uniform benchmarking tool. CONCLUSIONS: The HUBBI is a new and comprehensive usability benchmarking tool for the eHealth domain. It assesses usability on seven domains (BSP, TTF, ID, NS, IT, GS, SAT) in which a score per domain is generated. This can help eHealth developers to quickly determine which areas of the eHealth system's usability need to be optimized.