Journal of Telemedicine and Telecare最新文献

Introduction: Tele-pulmonary rehabilitation is increasingly advocated but cannot completely substitute for in-person services for chronic conditions. Adherence to Pulmonary rehabilitation (PR) remains low in chronic obstructive pulmonary disease (COPD) patients. Shared decision-making (SDM) promotes patients' participation in PR decisions and helps patients and healthcare providers to jointly make decisions that patients are informed and aligned with patient preferences and values, which are critical for patient adherence to PR.

Objective: This study aimed to develop a hybrid in-person and virtual model of home-based PR services for older COPD patients and study the effectiveness of the patient decision aid (PDA)-supported recurring SDM intervention on patient adherence to PR, rehabilitation outcomes, and decision-related outcomes, as well as to explore the mechanisms of the intervention on PR adherence.

Methods: A total of 78 older COPD patients were randomly assigned to the PR group (n = 39) or PDA-PR group (n = 39). Both groups were conducted hybrid in-person and virtual PR intervention for 3 months. The primary outcomes were patients' quality of life and PR adherence. The secondary outcomes were dyspnea symptoms, exercise self-efficacy, knowledge, and decision-related outcomes.

Results: A total of 72 participants completed the 3-month PR program. There were statistically significant differences in PR adherence (p = 0.033), COPD assessment test (CAT) scores (p = 0.016), PR knowledge (p < 0.001), decision self-efficacy (p < 0.001), decision conflict (p < 0.001), and decision regret scores (p = 0.027) between the two groups. The modified Medical Research Council Dyspnoea scale (mMRC) score was significantly decreased only in PDA-PR group (p = 0.011). No statistically significant differences were observed in St George's Respiratory Questionnaire (SGRQ) score (p = 0.078), Exercise Self-Regulatory Efficacy Scale (Ex-SRES) score (p = 0.29) and COPD knowledge (p = 0.086) between the two groups. PR value score had a significant effect on adherence to PR (p = 0.007) and CAT score (p = 0.028).

Conclusions: PDA supported recurring SDM intervention was helpful in maintaining older COPD patients' PR adherence and had advantages in improving quality of life, enhancing PR knowledge, decision self-efficacy, and reducing decision conflict and decision regret, but did not improve SGRQ and Ex-SRES. PR value score influenced patients' rehabilitation adherence and quality of life.

Trial registration: Chinese Clinical Trial Registry (ChiCTR): ChiCTR1900028563; http://apps.who.int/trialsearch/default.aspx.

Introduction: Psychotherapy delivered via videoconferencing (teletherapy) was a well-accepted treatment option for children and adolescents during the early phases of the COVID-19 pandemic. Information on the long-term satisfaction with teletherapy in routine clinical practice is missing.

Methods: Caregivers (parents) and psychotherapists of n  =  228 patients (4-20 years) treated in a university outpatient clinic completed a follow-up survey on satisfaction with videoconference-delivered cognitive-behavioral treatment (CBT). The follow-up survey (T2) was conducted about 1 year after initial assessment of treatment satisfaction in 2020 (T1).

Results: At follow up, therapists reported that 79% of families had received teletherapy as part of a blended treatment approach including in-person and videoconference delivery of CBT. Wilcoxon tests revealed that satisfaction with teletherapy was stable over time. In addition, parent ratings of the impact of teletherapy on treatment satisfaction and the therapeutic relationship did not change over time. Therapists' ratings of the impact of teletherapy on the therapeutic relationship with the caregiver were more negative at T2 compared to T1. Satisfaction with teletherapy was higher for patients with less pandemic-related stress, less externalizing behavior problems, and older age (all r < .35).

Conclusion: The high level of satisfaction with teletherapy for children and adolescents treated in routine clinical practice reported in 2020 was maintained after social distancing regulations were eased in 2021. Teletherapy provided as part of a blended treatment approach is a well-accepted method of treatment delivery for youths with mental health problems. The study was registered in the German Clinical Trials Register (DRKS00028639).

Introduction: Telemedicine is the exchange of medical information from one site to another via electronic communications with the goal of improving a patient's clinical health status. Prior studies have identified the absence of a standardized assessment tool for evaluating telemedicine encounters. This study aims to collect and to analyze questionnaires used for the assessment of audiovisual telemedicine encounters from a patient perspective and aims to identify reasons driving the use of self-developed questionnaires.

Methods: We conducted a systematic search in PubMed for studies that used survey questionnaires to assess synchronous audiovisual telemedicine encounters from 2016 to 2021. We categorized questionnaires used into validated and non-validated types, and for each of them, collected questions, response format, author, year, specialty, and country of publication.

Results and discussion: We analyzed a total of 71 articles. We found that only 16 studies used three validated questionnaires. The remaining 55 studies used non-validated questionnaires. Non-validated questionnaires had a high variability in length and used Likert scales, binary responses, multiple choice, and open-ended answers. We found only eight studies in which the authors gave a reason for resorting to designing their own questionnaires. This review reveals insufficient standardized survey questionnaires to be used for the assessment of audiovisual telemedicine encounters. Future research initiatives should focus on developing a standardized and validated instrument well accepted by researchers.

Introduction: Shortage of ear, nose, and throat specialists in public hospitals can result in delays in the detection and management of otitis media. This study introduced a new hospital-based telehealth service, named the Ear Portal, and investigated its role in improving access to specialist care.

Methods: The study included 87 children (aged 6 months to 6 years) referred to a tertiary children's hospital due to otitis media-related concerns. A specialist multidisciplinary team met fortnightly to review pre-recorded data and provide care plans.

Results: The service resulted in a median waiting time of 28 days to receive a diagnosis and care plan by the multidisciplinary team, compared to a mean waiting time of 450 days for a reference group receiving standard healthcare services. Most children (90.3%) received bilateral ear diagnosis. Normal findings were found in 43.9%. However, the majority required further ear, nose, and throat with or without audiology face-to-face follow-up due to a diagnosis of middle-ear disease, unknown hearing status, or concerns not related to ears. The mean time required for clinical assessments completion by research assistants and multidisciplinary team review was 37.6 and 5.1 min per participant, respectively.

Discussion: Children in the Ear Portal service received a diagnosis and care plan in a median of 28 days, which is within the clinically recommended timeframes. With sufficient clinical information, this service can provide faster access to specialist care than the standard healthcare pathway. The service can reduce the time required by the specialist to provide a diagnosis and care plan which may help increase the specialists' capacity.

Background: For an optimal interplay based on the data-secure exchange of diagnostic data between patients, ambulatory care, and hospital care, we implemented the first tele-medical network for pediatric cardiology in Germany, the Congenital Cardiology Cloud. This study focuses on its feasibility, technical characteristics, and implementation in routine clinical work.

Methods: Tele-medical traffic comprised numbers of incoming/outgoing data, related file types, treatment options for tele-medically processed patients, and patient classification with respect to the severity of disease. Proof of feasibility was related to the number of successful tele-medical transmissions of discharge documents at the end of the observation period (02/2020-10/2020).

Results: Analysis of Congenital Cardiology Cloud's data communication showed a number of 1178 files for a total of 349 patients, favoring transmissions towards the clinic. Incoming traffic was predominantly characterized by diagnostic data regarding tele-consultations (76.6%), consisting of a multitude of file types, whereas 93.4% of the dispatched data corresponded to discharge letters. The number of tele-consultations counted up to 61, with a necessary subsequent treatment or diagnostic procedure in 90.2% of the presented cases. Tele-medically processed patients generally showed to be more complex (severe chronic heart disease 42.4% vs. 23.7%). At the end of the observation period, 97.6% of the discharge documents were transmitted via telemedicine.

Discussion: The implementation of the first tele-medical network for pediatric cardiology in Germany proves recent technological developments to successfully enable innovative patient care, connecting the ambulatory and hospital sector for a joint patient advice, predominantly in more complex cases. Possible governmentally guided refinancing concepts will show its long-term feasibility.

Introduction: The pandemic increased pressure on healthcare services and forced limited care in all health facilities to ensure the care of all patients. Telepharmacy appears as an alternative to the remote pharmacy practice approach through information and communication technologies, but there are no comprehensive tools to measure pharmacists' knowledge, perception, and readiness to implement telepharmacy. This study developed and validated a questionnaire version of the Knowledge, Perceptions, and Readiness of Telepharmacy (KPR-TP) for pharmacists.

Methods: The KPR-TP assessed three domains: knowledge, perception, and readiness. Its factor structure, reliability, and validity were assessed using 7730 pharmacists from 34 Indonesian provinces. The validity of the model's three-factor structure was assessed using confirmatory factor analysis. Cronbach's alpha and composite reliability were used to validate the consistency of our factors, whereas convergent and discriminant validity established significant relationships between them.

Results: The goodness-of-fit index indicated that the model was economical and reasonable. Furthermore, the correlation between the three domains revealed a significant positive relationship. KRP-TP is a viable instrument for assessing pharmacists' perceptions of telepharmacy in Indonesia.

Conclusion: Overall, we discovered that our questionnaire contains critical constructs for assessing a pharmacist's knowledge, perception, and level of readiness to implement telepharmacy. This study will help pharmacists identify appropriate strategies for skill improvement.

Background: There is limited information about how on-line screening tools developed by integrated systems facilitated management of COVID-like illness patients.

Methods: Using the Kaiser Permanente Northwest (KPNW) Electronic Health Record, we identified adult plan members who accessed online COVID-19 screening e-visits and enumerated their subsequent medical encounters, tests for SARS-CoV-2, and test outcomes.

Results: Between May 2020 and December 2021, members completed 55,139 e-visits, with disproportionate representation among females (65% vs. 53% in the overall membership) and members aged <45 years (61% vs. 39%). Thirty percent of patients (16,953) were managed entirely through e-visits and 70% received subsequent in-person care. The percent of SARS-CoV-2 positive individuals was highest among the 1055 individuals triaged to inpatient care (17.9%), compared to 9.5% among those escalated to additional ambulatory care.

Conclusions: The e-visit on-line screening tool helped KPNW assist thousands of patients with COVID-19 symptoms, avoid unnecessary in-person patient encounters, and preserved KPNW infection control and pandemic surge capacity.

Aim: To gain a better understanding of consumer experiences with and preferences for telephone and videoconference consultations (telehealth), and how these compare to traditional in-person consultations.

Methods: A national cross-sectional survey was administered to a representative sample of Australian adults who have received a telehealth service within the last year. Consumers were recruited by Qualtrics® through their online sampling service. The sample was representative of the broader Australian population according to gender, age, location (state/territory), and place of residence (urban or remote). Information on demographics (e.g., age, gender, employment status), recent telehealth experience, and preferences for consultation modality was collected. To measure preferences consumers were asked to indicate which modality they would prefer (in-person, telephone, or videoconference) for different scenarios. These included consultations of various time lengths, and for the top ten conditions for which individuals sought a general practitioner.

Results: A total of 1069 consumers completed the survey. When consumers were asked to describe their most recent telehealth appointment, most were for follow-up appointments (67%) and completed by telephone (77%) rather than by videoconference, and with a general practitioner (75%). In-person consultations at a clinic were the top preference in all clinical scenarios presented, except when needing a prescription or to receive test results. In these cases, a telephone consultation was the preferred modality. Inexperience with videoconference and duration of consultation influenced preference for consultation mode. Consumers preferred to have short consultations of around five minutes done by telehealth (telephone or videoconference), while they preferred in-person for longer consultations (up to 60 minutes).

Conclusions: Many Australians have used telehealth in the past year to access healthcare, with telephone being the most common form of communication. Given the option and the experience to date, consumers prefer telephone when consultations related to either prescriptions or test results. Experience with videoconference for consultations increased consumer preferences for using it for future consultations.

Introduction: Age-related macular degeneration, diabetic retinopathy, and glaucoma are vision-threatening diseases that are leading causes of vision loss. Many studies have validated deep learning artificial intelligence for image-based diagnosis of vision-threatening diseases. Our study prospectively investigated deep learning artificial intelligence applications in student-run non-mydriatic screenings for an underserved, primarily Hispanic community during COVID-19.

Methods: Five supervised student-run community screenings were held in West New York, New Jersey. Participants underwent non-mydriatic 45-degree retinal imaging by medical students. Images were uploaded to a cloud-based deep learning artificial intelligence for vision-threatening disease referral. An on-site tele-ophthalmology grader and remote clinical ophthalmologist graded images, with adjudication by a senior ophthalmologist to establish the gold standard diagnosis, which was used to assess the performance of deep learning artificial intelligence.

Results: A total of 385 eyes from 195 screening participants were included (mean age 52.43  ±  14.5 years, 40.0% female). A total of 48 participants were referred for at least one vision-threatening disease. Deep learning artificial intelligence marked 150/385 (38.9%) eyes as ungradable, compared to 10/385 (2.6%) ungradable as per the human gold standard (p < 0.001). Deep learning artificial intelligence had 63.2% sensitivity, 94.5% specificity, 32.0% positive predictive value, and 98.4% negative predictive value in vision-threatening disease referrals. Deep learning artificial intelligence successfully referred all 4 eyes with multiple vision-threatening diseases. Deep learning artificial intelligence graded images (35.6  ±  13.3 s) faster than the tele-ophthalmology grader (129  ±  41.0) and clinical ophthalmologist (68  ±  21.9, p < 0.001).

Discussion: Deep learning artificial intelligence can increase the efficiency and accessibility of vision-threatening disease screenings, particularly in underserved communities. Deep learning artificial intelligence should be adaptable to different environments. Consideration should be given to how deep learning artificial intelligence can best be utilized in a real-world application, whether in computer-aided or autonomous diagnosis.