Telemedicine and e-Health最新文献

Introduction: Access to antenatal ultrasound is limited in low-income countries such as Ethiopia. Virtual care platforms that facilitate supervision and mentoring for ultrasound scanning may improve patient access by facilitating task-sharing of antenatal ultrasound with midlevel providers. The purpose of this study was to assess the feasibility of a large volume tele-ultrasound program in Ethiopia, its impact on antenatal care (ANC) and patient access, and its sustainability as it transitioned from a pilot project to a continuing clinical program. Methods: Health care providers at two health centers in the North Shoa Zone, Ethiopia, performed antenatal tele-ultrasound exams with remote guidance from obstetricians located in urban areas. Data regarding ANC and ultrasound utilization, participant travel, ultrasound findings, specialist referrals, and participant experience were collected through a mobile app. Results: Between November 2020 and December 2023, 7,297 tele-ultrasound exams were performed. Of these, 489 tele-ultrasound exams were performed during the period of data collection from October to December 2022. The availability of tele-ultrasound at the two health centers significantly reduced participant travel distance (4.2 km vs. 10.2 km; p < 0.01; one-way distance). Most participants (99.2%) indicated the tele-ultrasound service was very important or important, with high levels of satisfaction. Clinically significant findings were identified in 26 cases (5.3%), leading to necessary referrals. Conclusion: This study demonstrated the feasibility of a large volume tele-ultrasound program in Ethiopia, its impact on improving the quality of ANC, and its sustainability. These findings lay a foundation upon which low-income countries can develop tele-ultrasound programs to improve antenatal ultrasound access.

Introduction: Evaluating physician perceptions of telemedicine use and its impact on care quality among physician providers is critical to sustaining telemedicine programs, given the uncertainty of reimbursement policy, preferences, inadequate training, and technical difficulties. Physicians reported technical barriers to effectively practicing integrated medicine using telemedicine as patient volumes increased during the pandemic. The objective of this work was to examine whether perceived practice barriers and facilitators were associated with physician respondents' perceptions of telemedicine care quality compared with in-person care. Methods: This cross-sectional study analyzed the 2021 National Electronic Health Record Survey. The sample comprised 1,857 nonfederally employed physicians (weighted n = 403,013) delivering integrated patient care. Of those physicians, 1,630 (weighted n = 346,646) reported providing care through telemedicine. We reported frequencies and percentages of reported practice characteristics. Generalized ordinal logistic regressions examined relationships between practice factors and care quality for telemedicine care. Results: Most of the sample (n = 1,630) were male (66.1%), >50 years of age (66.1%), and worked in a single location (73.5%). A total of 70% of respondents reported that patients had difficulty using telemedicine platforms, and 64% reported limitations in patients' access to technology. Most respondents indicated having provided quality care to some extent (45%) and to a great extent (26%) during telemedicine visits compared to in-person visits. Associations between barriers, facilitators, and care quality perceptions were positive, underscoring resiliency in telemedicine programs among practices. Conclusion: Care modalities and the organizational, environmental, and personal facilitators drive quality perceptions among physicians. Perceived fit and usability determine perceptions of care quality for providers integrating telemedicine into their practice.

Introduction: Access to HIV care remains challenging, especially for patients living in remote areas, despite advances in antiretroviral treatment. The acceptability of teleconsultations for routine HIV care post-COVID is not well-explored. We explored factors influencing teleconsultation acceptability among people living with HIV (PLWH) and attending a tertiary care center in Kano, Nigeria. Methods: We used a cross-sectional mixed methods study design. Structured questionnaires were administered to 415 PLWH, supplemented by in-depth interviews with a subsample (n = 20). Logistic regression models and thematic analysis were used for data analyses. Results: Of 415 respondents, 55.7% (n = 231) expressed willingness for teleconsultations. Primary motivations included convenience/efficiency (46.7%, n = 194), elimination of travel expenses (31.8%, n = 132), and remote access to specialist care (17.3%, n = 72). Reasons for reluctance included distrust of technology (61.9%, n = 260) and privacy concerns (37.1%, n = 156). Acceptance was higher among males (adjusted odds ratio (aOR)=1.58, 95% confidence interval (CI) = 1.12-3.72), participants with at least secondary education (aOR = 1.47, 95% CI = 1.27-4.97), monthly income ≥30,000 Naira (aOR = 2.16, 95% CI = 1.21-7.31), currently married (aOR = 3.26, 95% CI = 1.16-5.65), and participants without comorbidities (aOR = 2.03, 95% CI = 1.18-4.24). PLWH who self-assessed as being in good health (aOR = 3.77, 95% CI = 1.44-9.94), used the internet regularly (aOR = 3.12, 95% CI = 2.17-5.37), or were aware of telemedicine (aOR = 3.24, 95% CI = 2.45-7.68) were also more accepting of telehealth services. Themes highlighted the need to offer teleconsultation as an optional service. Conclusion: Teleconsultation acceptance among PLWH was influenced by sociodemographic, clinical, and technology-related factors. Successful integration of teleconsultation services for PLWH in similar settings necessitates targeted educational interventions and assessment of organizational readiness.

Objective: The National Health Security Office in Thailand introduced a telemedicine program called "Telehealth/Telemedicine" in December 2020, which aimed to reimburse telemedicine services for patients with stable chronic diseases under the Universal Coverage Scheme (UCS). The current study investigated patient characteristics and trends in telemedicine service utilization under the UCS in Thailand and examined the impact of COVID-19 outbreaks on telemedicine services. Methods: A retrospective secondary data analysis using e-claim data from December 1, 2020, to April 18, 2023, was conducted. The analytical methods included descriptive analysis and an interrupted time series analysis. Results: During ∼29 months, 110,153 unique patients used telemedicine services, leading to a total of 259,047 visits. The average age was 54 years, and most of patients were female (57%). Hypertension was the most common diagnosis for patients receiving telemedicine services. Patients with mental health conditions often engaged in telemedicine consultation with drug delivery. During the Delta and Omicron outbreaks, telemedicine service utilization significantly increased compared with that in any nonpandemic periods within the 29-month timeframe (odds ratio [OR]: 3.85, p-value <0.01; OR: 2.55, p-value <0.01). Conclusions: The study findings highlight the initial trend of telemedicine services in Thailand from the start of the COVID-19 pandemic to the beginning of the post-COVID-19 period. As telemedicine will play a critical role in the future of health care, this information can support the scale-up of telemedicine, including monitoring and evaluation plans, to help improve the efficiency of the system.

Background: Patient portals can improve access to electronic health information and enhance patient engagement. However, disparities in patient portal utilization remain, affecting disadvantaged communities disproportionately. This study examined patient- and provider-level factors associated with portal usage among Medicaid recipients in a large federally qualified health center (FQHC) network in Texas. Methods: Deidentified electronic medical records of patients 18 years or older from a large Texas FQHC network were analyzed. The dependent variable was a binary flag indicating portal usage during the study period. Independent variables included patient- and provider-level factors. Patient-level factors included sociodemographic, geographic, and clinical characteristics. Provider characteristics included primary service line, provider type, provider language, and years in practice. Because the analysis was at the individual level, a multivariable logistic regression model focused on adjusted associations between independent variables and portal usage. Results: The analytic sample consisted of 9,271 individuals. Compared with individuals 18-39 years, patients 50 years and older had lower odds (50-64 OR: 0.60, p < 0.001; 65+ OR: 0.51, p < 0.001) of portal usage. Males were less likely to use portals (OR: 0.44, p = 0.03), and compared to Non-Hispanic Whites, Non-Hispanic Black (OR: 0.86, p = 0.02) and Hispanics (OR: 0.83, p < 0.001) were significantly less likely to use portals. Individuals with 1 or more telemedicine consults had a two-times greater odds of portal usage (OR: 1.97, p < 0.001). Compared to individuals who had clinic visits in December 2018, portal usage was significantly higher in the pandemic months (March 2020-November 2020, all p's < 0.01). Importantly, the behavioral health service line had the greatest odds (OR: 1.52, p < 0.001), whereas the dental service line had the lowest odds (OR: 0.69, p = 0.01) compared to family practice. No other provider characteristics were significant. Conclusion: Our finding of significant patient-level factors is important and can contribute to developing appropriate patient-focused health information technology approaches to ensure equitable access and maximize the potential benefits of patient portals in health care delivery.

Background: In recent years, the integration of mobile health (m-Health) interventions has garnered increasing attention as a potential means to improve blood pressure (BP) management in adults. This updated systematic review with meta-analysis aimed to identify the effect of m-Health-based interventions on BP in adults and to evaluate the effect of m-Health on BP according to the characteristics of subjects, interventions, and countries. Methods: The search was carried out in PubMed, Embase, ResearchGate, and Cochrane databases in January 2022. Study selection and data extraction were performed by two independent reviewers. For analysis, random effects models were used with a confidence interval (CI) of 95% and p < 0.05. Results: Fifty studies were included in this review and in the meta-analysis. Interventions with m-Health reduced systolic BP in 3.5 mmHg (95% CI -4.3; -2.7; p < 0.001; I² = 85.8%) and diastolic BP in 1.8 mmHg (95% CI -2.3; -1.4; p < 0.001; I² = 78.9%) compared to usual care. The effects of m-Health interventions on BP were more evident in men and in older adults, in interventions lasting 6-8 weeks, with medication reminders, with the possibility of insertion of BP values (p < 0.05). Conclusion: The results of this study support the effectiveness of m-Health in reducing BP when compared to standard care. However, these effects are dependent on the characteristics of the subjects and interventions. Given the substantial heterogeneity among the results of this systematic review with meta-analysis, its interpretation should be cautious. Future research on this topic is warranted.

Purpose: This systematic review aimed to identify the types and effectiveness of telenursing in home health care (HHC) compared to conventional HHC. Methods: This study followed the Preferred Reporting Items for Systematic Review and Meta-Analysis 2020 guidelines. A random-effects meta-analysis was performed. The risk of bias was assessed using the Risk of Bias 2.0 tool. The quality of bias was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation system. Results: A total of 17 studies published between 2003 and 2022 were included in the review. The majority of the targeted health conditions of the patients were chronic obstructive pulmonary disease or congestive heart failure (70%). We categorized telenursing interventions according to different technology (N = 4) and nursing (N = 7) types. Among the identified types of nursing, fundamental nursing to monitor patients' symptoms was the most representative. Telemonitoring was found to be the most common technology type, followed by synchronous technology using video or telephone. The telenursing outcomes, including health care utilization, physiological/psychological outcomes, and quality of life, varied. In the meta-analysis, participants who received telenursing reported fewer hospital admissions (standardized mean difference [SMD]: -0.18; confidence interval [95% CI]: -0.43 to -0.02) and emergency department visits (SMD: -0.28; 95% CI: -0.45 to -0.10). Conclusion: Telenursing in HHC tends to improve the quality of life and could result in many benefits, including a reduction in health care utilization and facilitating the management of chronic diseases. These results ultimately represent the potential effectiveness of telenursing in community health care settings.

Introduction: The restrictions on face-to-face care for exposure to biological material during the COVID-19 pandemic required alternatives to maintain outpatient assistance. This study evaluated the impact of telemedicine on care and outcome indicators of a reference service for exposure to biological material during the COVID-19 pandemic. Methods: This pre- and post-study compared the effectiveness of telemedicine in the Hospital Correia Picanço in Recife (Pernambuco, Brazil) before (August 2018 to January 2019 [P1]) and during the COVID-19 pandemic (August 2020 to January 2021 [P2]). Individuals above 18 years old exposed to biological material who sought the service during P1 or P2 were included in the study. Results: A total of 4,494 cases were assessed (1,997 in P1 and 2,497 in P2), mostly because of sexual exposure (62.3%). The mean age was 32.2 ± 9.2 years, most individuals were male (64.9%), originated from Recife (56.6%), and the education level was up to 12 years (53.7%). P2 presented 43% more attendances and shorter intervals between the exposure and first attendance (51%), first testing (28%), and discharge (10%) than P1 (p < 0.05), and cases had no difference in discharge rate (p = 0.339). Cases of sexual exposure had the highest dropout rate in both periods. Conclusion: Telemedicine maintained similar outcomes to face-to-face care and improved the indicators, increasing the mean monthly attendance and reducing the time between exposure and follow-up.

Background: Blurry images in teledermatology and consultation increased the diagnostic difficulty for both deep learning models and physicians. We aim to determine the extent of restoration in diagnostic accuracy after blurry images are deblurred by deep learning models. Methods: We used 19,191 skin images from a public skin image dataset that includes 23 skin disease categories, 54 skin images from a public dataset of blurry skin images, and 53 blurry dermatology consultation photos in a medical center to compare the diagnosis accuracy of trained diagnostic deep learning models and subjective sharpness between blurry and deblurred images. We evaluated five different deblurring models, including models for motion blur, Gaussian blur, Bokeh blur, mixed slight blur, and mixed strong blur. Main Outcomes and Measures: Diagnostic accuracy was measured as sensitivity and precision of correct model prediction of the skin disease category. Sharpness rating was performed by board-certified dermatologists on a 4-point scale, with 4 being the highest image clarity. Results: The sensitivity of diagnostic models dropped 0.15 and 0.22 on slightly and strongly blurred images, respectively, and deblurring models restored 0.14 and 0.17 for each group. The sharpness ratings perceived by dermatologists improved from 1.87 to 2.51 after deblurring. Activation maps showed the focus of diagnostic models was compromised by the blurriness but was restored after deblurring. Conclusions: Deep learning models can restore the diagnostic accuracy of diagnostic models for blurry images and increase image sharpness perceived by dermatologists. The model can be incorporated into teledermatology to help the diagnosis of blurry images.